diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 8a4674ee2..c7fff090f 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -29,7 +29,8 @@
 	"workspaceMount": "source=${localWorkspaceFolder},target=${localWorkspaceFolder},type=bind",
 	"mounts": [
 		"source=${localEnv:HOME}/.cache/pip,target=/home/vscode/.cache/pip,type=bind",
-		"source=${localEnv:HOME}/.cache/uv,target=/home/vscode/.cache/uv,type=bind"
+		"source=${localEnv:HOME}/.cache/uv,target=/home/vscode/.cache/uv,type=bind",
+		"source=${localEnv:HOME}/.cache/huggingface,target=/home/vscode/.cache/huggingface,type=bind",
 	],
 	"customizations": {
 		"vscode": {
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index f33a02cd1..222e993e0 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -8,5 +8,17 @@ version: 2
 updates:
  - package-ecosystem: "devcontainers"
    directory: "/"
+   commit-message:
+     prefix: "chore: "
    schedule:
      interval: weekly
+ - package-ecosystem: "github-actions"
+   directory: "/"
+   schedule:
+     interval: "weekly"
+   commit-message:
+     prefix: "build: "
+   groups:
+     actions-deps:
+       patterns:
+        - "*"
\ No newline at end of file
diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index 2da4e6849..6f54c000c 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -59,7 +59,7 @@ jobs:
         # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
     steps:
     - name: Checkout repository
-      uses: actions/checkout@v4
+      uses: actions/checkout@v5
 
     # Add any setup steps before running the `github/codeql-action/init` action.
     # This includes steps like installing compilers or runtimes (`actions/setup-node`
@@ -69,7 +69,7 @@ jobs:
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
+      uses: github/codeql-action/init@v4
       with:
         languages: ${{ matrix.language }}
         build-mode: ${{ matrix.build-mode }}
@@ -97,6 +97,6 @@ jobs:
         exit 1
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
+      uses: github/codeql-action/analyze@v4
       with:
         category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/medcat-demo-app_build.yml b/.github/workflows/medcat-demo-app_build.yml
index 8d3438fa1..c92b3444c 100644
--- a/.github/workflows/medcat-demo-app_build.yml
+++ b/.github/workflows/medcat-demo-app_build.yml
@@ -19,7 +19,7 @@ jobs:
       MEDCAT_BRANCH: ${{ github.head_ref || github.ref_name }}
 
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v5
 
     - name: Set up Docker Compose
       run: sudo apt-get update && sudo apt-get install -y docker-compose
diff --git a/.github/workflows/medcat-den_main.yml b/.github/workflows/medcat-den_main.yml
new file mode 100644
index 000000000..82740ec15
--- /dev/null
+++ b/.github/workflows/medcat-den_main.yml
@@ -0,0 +1,84 @@
+name: medcat-den - Test
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    paths:
+      - 'medcat-den/**'
+      - '.github/workflows/medcat-den**'
+
+permissions:
+  id-token: write
+
+defaults:
+  run:
+    working-directory: ./medcat-den
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [ '3.10', '3.11', '3.12' ]
+      max-parallel: 4
+    steps:
+      - uses: actions/checkout@v5
+      - name: Install uv for Python ${{ matrix.python-version }}
+        uses: astral-sh/setup-uv@v7
+        with:
+          python-version: ${{ matrix.python-version }}
+          enable-cache: true
+      - name: Install the project
+        run: |
+          uv sync --all-extras --dev
+          uv run python -m ensurepip
+          uv run python -m pip install --upgrade pip
+      - name: Check types
+        run: |
+          uv run python -m mypy --follow-imports=normal src/medcat_den
+      - name: Ruff linting
+        run: |
+          uv run ruff check src/medcat_den --preview
+      - name: Test
+        run: |
+          uv run pytest tests
+
+  publish-to-test-PyPI:
+    runs-on: ubuntu-latest
+    needs: build
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0        # fetch all history
+          fetch-tags: true      # fetch tags explicitly
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install --upgrade build
+
+      - name: Set timestamp-based dev version
+        run: |
+          TS=$(date -u +"%Y%m%d%H%M%S")
+          echo "SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MEDCAT_DEN=0.2.2.dev${TS}" >> $GITHUB_ENV
+
+      - name: Install package in development mode
+        run: |
+          pip install -e .
+
+      - name: Build package
+        run: |
+          python -m build
+
+      - name: Publish distribution to TestPyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          repository_url: https://test.pypi.org/legacy/
+          packages_dir: medcat-den/dist
diff --git a/.github/workflows/medcat-den_release.yml b/.github/workflows/medcat-den_release.yml
new file mode 100644
index 000000000..b4e411c64
--- /dev/null
+++ b/.github/workflows/medcat-den_release.yml
@@ -0,0 +1,51 @@
+name: medcat-den release-build
+
+on:
+  push:
+    tags:
+      - 'medcat-den/v*.*.*'  
+
+permissions:
+  id-token: write
+
+defaults:
+  run:
+    working-directory: ./medcat-den
+
+jobs:
+  test-and-publish-to-PyPI:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+
+      - name: Release Tag
+        # If GITHUB_REF=refs/tags/medcat-den/v0.1.2, this returns v0.1.2. Note it's including the "v" though it probably shouldnt
+        run: echo "RELEASE_VERSION=${GITHUB_REF##refs/*/}" >> $GITHUB_ENV
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install --upgrade build
+
+      - name: Install client package in development mode
+        run: |
+          pip install -e ".[dev]"
+
+      - name: Test
+        run: |
+          pytest tests
+
+      - name: Build client package
+        run: |
+          python -m build
+
+      - name: Publish production distribution to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          packages_dir: medcat-den/dist
diff --git a/.github/workflows/medcat-service_docker.yml b/.github/workflows/medcat-service_docker.yml
old mode 100755
new mode 100644
index ba2bfa441..78d15021b
--- a/.github/workflows/medcat-service_docker.yml
+++ b/.github/workflows/medcat-service_docker.yml
@@ -10,8 +10,6 @@ on:
       - 'medcat-v2/**'
       - 'medcat-service/**'
       - '.github/workflows/medcat-service**'
-  release:
-    types: [published]
 
   # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
@@ -19,18 +17,17 @@ defaults:
   run:
     working-directory: ./medcat-service
 jobs:
-
   build:
-
+    if: github.event.pull_request.user.login != 'dependabot[bot]' && github.repository == 'CogStack/cogstack-nlp'
     runs-on: ubuntu-latest
     outputs:
       image_version: ${{ steps.meta.outputs.version }}
     steps:
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       - name: Log in to Docker Hub
-        uses: docker/login-action@v1
+        uses: docker/login-action@v3
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
@@ -54,6 +51,7 @@ jobs:
             type=sha
             # Create version tag based on tag prefix
             type=match,pattern=medcat-service/v(\d+\.\d+\.\d+),group=1
+          flavor: latest=false
 
       - name: Make medact-v2 available within build
         run: cp -r ../medcat-v2 medcat-v2
@@ -88,6 +86,7 @@ jobs:
             type=sha
             # Create version tag based on tag prefix
             type=match,pattern=medcat-service/v(\d+\.\d+\.\d+),group=1
+          flavor: latest=false
           build-args: |
             REINSTALL_CORE_FROM_LOCAL=true
 
@@ -112,16 +111,19 @@ jobs:
   integration_test:
     runs-on: ubuntu-latest
     needs: build
+    strategy:
+      matrix:
+        variant: [v1, v2, DeID]
     steps:
       - name: Check out code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       - name: Run Test with example model pack
         run: |
           echo "🧪 Running Examples test..."
           export IMAGE_TAG=${{ needs.build.outputs.image_version }} # Improve by running exact digest instead
-          echo "Running with image tag ${IMAGE_TAG}"
-          bash scripts/test_examples.sh
+          echo "Running with image tag ${IMAGE_TAG} and variant ${{ matrix.variant }}"
+          bash scripts/test_examples.sh ${{ matrix.variant }}
           
       - name: Report test result
         if: always()
diff --git a/.github/workflows/medcat-service_run-tests.yml b/.github/workflows/medcat-service_run-tests.yml
old mode 100755
new mode 100644
index 2a31713ca..8663d31b2
--- a/.github/workflows/medcat-service_run-tests.yml
+++ b/.github/workflows/medcat-service_run-tests.yml
@@ -18,7 +18,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: checkout repo
-        uses: actions/checkout@v2
+        uses: actions/checkout@v5
 
       - name: Cache MedMen Model
         id: cache-medmen
@@ -28,7 +28,7 @@ jobs:
           key: medmen-${{ hashFiles('medcat-service/scripts/download_medmen.sh') }}
 
       - name: Install Python 3
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: 3.11
           cache: 'pip' # caching pip dependencies
diff --git a/.github/workflows/medcat-trainer-v1_ci.yml b/.github/workflows/medcat-trainer-v1_ci.yml
new file mode 100644
index 000000000..a6a25521d
--- /dev/null
+++ b/.github/workflows/medcat-trainer-v1_ci.yml
@@ -0,0 +1,33 @@
+name: medcat-trainer-v1 ci-build
+
+on:
+  pull_request:
+    paths:
+      - 'v1/medcat-trainer/**'
+      - '.github/workflows/medcat-trainer-v1**'
+
+defaults:
+  run:
+    working-directory: ./v1/medcat-trainer
+
+jobs:
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: ${{ github.ref }}
+
+      - name: Build
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:dev-latest webapp/.
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:dev-latest python manage.py test
diff --git a/.github/workflows/medcat-trainer-v1_qa.yml b/.github/workflows/medcat-trainer-v1_qa.yml
new file mode 100644
index 000000000..610723226
--- /dev/null
+++ b/.github/workflows/medcat-trainer-v1_qa.yml
@@ -0,0 +1,40 @@
+name: medcat-trainer-v1 qa-build
+
+on:
+  push:
+    branches: [ main ]
+
+defaults:
+  run:
+    working-directory: ./v1/medcat-trainer
+
+jobs:
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: 'main'
+
+      - name: Build
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:v1-latest webapp/.
+
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: latest
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:v1-latest python manage.py test
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
+
+      - name: Push to DockerHub
+        run: |
+          docker push cogstacksystems/medcat-trainer:v1-latest
diff --git a/.github/workflows/medcat-trainer-v1_release.yml b/.github/workflows/medcat-trainer-v1_release.yml
new file mode 100644
index 000000000..d975d8d9c
--- /dev/null
+++ b/.github/workflows/medcat-trainer-v1_release.yml
@@ -0,0 +1,48 @@
+name: medcat-trainer-v1 release-build
+
+on:
+  push:
+    tags:
+      - 'medcat-trainer/v1.*.*'
+
+defaults:
+  run:
+    working-directory: ./v1/medcat-trainer
+
+jobs:
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: "main"
+
+      - name: Release Tag
+        # If GITHUB_REF=refs/tags/medcat-trainer/v0.1.2, this returns v0.1.2. Note it's including the "v" though it probably shouldnt
+        run: echo "RELEASE_VERSION=${GITHUB_REF##refs/*/}" >> $GITHUB_ENV
+      - name: Build
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:$IMAGE_TAG webapp/.
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:$IMAGE_TAG python manage.py test
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
+
+      - name: Push to DockerHub
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker push cogstacksystems/medcat-trainer:$IMAGE_TAG
+
diff --git a/.github/workflows/medcat-trainer_ci.yml b/.github/workflows/medcat-trainer_ci.yml
new file mode 100644
index 000000000..ed964c66f
--- /dev/null
+++ b/.github/workflows/medcat-trainer_ci.yml
@@ -0,0 +1,93 @@
+name: medcat-trainer ci-build
+
+on:
+  pull_request:
+    paths:
+      - 'medcat-trainer/**'
+      - '.github/workflows/medcat-trainer**'
+
+defaults:
+  run:
+    working-directory: ./medcat-trainer
+
+jobs:
+  # Test and build client library
+  test-client:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: ${{ github.ref }}
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install requests pytest build
+
+      - name: Install client package in development mode
+        run: |
+          cd client
+          pip install -e .
+
+      - name: Run client tests
+        run: |
+          cd client
+          python -m pytest tests/ -v
+
+      - name: Build client package
+        run: |
+          cd client
+          python -m build
+
+  
+  test-frontend:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '20'      
+
+      - name: Install dependencies
+        run: |
+          cd webapp/frontend      
+          npm ci                  
+
+      - name: Run frontend tests
+        run: |
+          cd webapp/frontend
+          npm run test:unit
+
+          
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    needs: 
+      - test-client
+      - test-frontend
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: ${{ github.ref }}
+
+      - name: Build
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:dev-latest webapp/.
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:dev-latest python manage.py test
diff --git a/.github/workflows/medcat-trainer_qa.yml b/.github/workflows/medcat-trainer_qa.yml
new file mode 100644
index 000000000..c5823aaa1
--- /dev/null
+++ b/.github/workflows/medcat-trainer_qa.yml
@@ -0,0 +1,110 @@
+name: medcat-trainer qa-build
+
+on:
+  push:
+    branches: [ main ]
+
+permissions:
+  id-token: write
+
+defaults:
+  run:
+    working-directory: ./medcat-trainer
+
+jobs:
+  # Test and build client library
+  test-client:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: 'main'
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install requests pytest build
+
+      - name: Install client package in development mode
+        run: |
+          cd client
+          pip install -e .
+
+      - name: Run client tests
+        run: |
+          cd client
+          python -m pytest tests/ -v
+
+      - name: Bump version for TestPyPI
+        run: sed -i "s/^version = .*/version = \"1.0.0.dev$(date +%s)\"/" client/pyproject.toml
+
+      - name: Build client package
+        run: |
+          cd client
+          python -m build
+
+      - name: Publish dev distribution to Test PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          repository_url: https://test.pypi.org/legacy/
+          packages_dir: medcat-trainer/client/dist
+
+  test-frontend:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '20'      
+
+      - name: Install dependencies
+        run: |
+          cd webapp/frontend      
+          npm ci                  
+
+      - name: Run frontend tests
+        run: |
+          cd webapp/frontend
+          npm run test:unit
+
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    needs: 
+      - test-client
+      - test-frontend
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: 'main'
+
+      - name: Build
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:latest webapp/.
+
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: latest
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:latest python manage.py test
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
+
+      - name: Push to DockerHub
+        run: |
+          docker push cogstacksystems/medcat-trainer:latest
diff --git a/.github/workflows/medcat-trainer_release.yml b/.github/workflows/medcat-trainer_release.yml
new file mode 100644
index 000000000..b0e9d5d13
--- /dev/null
+++ b/.github/workflows/medcat-trainer_release.yml
@@ -0,0 +1,96 @@
+name: medcat-trainer release-build
+
+on:
+  push:
+    tags:
+      - 'medcat-trainer/v*.*.*'  
+
+permissions:
+  id-token: write
+
+defaults:
+  run:
+    working-directory: ./medcat-trainer
+
+jobs:
+  # Test, build and publish client library
+  test-and-publish-client:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: "main"
+
+      - name: Release Tag
+        # If GITHUB_REF=refs/tags/medcat-trainer/v0.1.2, this returns v0.1.2. Note it's including the "v" though it probably shouldnt
+        run: echo "RELEASE_VERSION=${GITHUB_REF##refs/*/}" >> $GITHUB_ENV
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install requests pytest build twine
+
+      - name: Install client package in development mode
+        run: |
+          cd client
+          pip install -e .
+
+      - name: Run client tests
+        run: |
+          cd client
+          python -m pytest tests/ -v
+
+      - name: Build client package
+        run: |
+          cd client
+          python -m build
+
+      - name: Publish production distribution to PyPI
+        if: startsWith(github.ref, 'refs/tags') && ! github.event.release.prerelease
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          packages_dir: medcat-trainer/client/dist
+
+  # Build and test webapp container
+  build-and-push:
+    runs-on: ubuntu-latest
+    needs: test-and-publish-client
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v5
+        with:
+          ref: "main"
+
+      - name: Release Tag
+        # If GITHUB_REF=refs/tags/medcat-trainer/v0.1.2, this returns v0.1.2. Note it's including the "v" though it probably shouldnt
+        run: echo "RELEASE_VERSION=${GITHUB_REF##refs/*/}" >> $GITHUB_ENV
+      - name: Build
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker build -t cogstacksystems/medcat-trainer:$IMAGE_TAG -t cogstacksystems/medcat-trainer:latest webapp/.
+      - name: Run Django Tests
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          # run tests
+          docker run --rm cogstacksystems/medcat-trainer:$IMAGE_TAG python manage.py test
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
+
+      - name: Push to DockerHub
+        env:
+          IMAGE_TAG: ${{ env.RELEASE_VERSION }}
+        run: |
+          docker push cogstacksystems/medcat-trainer:$IMAGE_TAG
+          docker push cogstacksystems/medcat-trainer:latest
diff --git a/.github/workflows/medcat-v1-tutorials_main.yml b/.github/workflows/medcat-v1-tutorials_main.yml
index d3c778785..c97fc8e26 100644
--- a/.github/workflows/medcat-v1-tutorials_main.yml
+++ b/.github/workflows/medcat-v1-tutorials_main.yml
@@ -5,13 +5,13 @@ on:
     branches: [ main ]
   pull_request:
     paths:
-      - 'medcat-v1/**'
-      - 'medcat-v1-tutorials/**'
+      - 'v1/medcat/**'
+      - 'v1/medcat-tutorials/**'
       - '.github/workflows/medcat-v1**'
       - '.github/workflows/medcat-v1-tutorials**'
 defaults:
   run:
-    working-directory: ./medcat-v1-tutorials
+    working-directory: ./v1/medcat-tutorials
 
 jobs:
   main:
@@ -31,9 +31,9 @@ jobs:
         ]
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: "3.11"
       - name: Install dependencies
diff --git a/.github/workflows/medcat-v1_main.yml b/.github/workflows/medcat-v1_main.yml
index b4d7ddb8c..78378e4b5 100644
--- a/.github/workflows/medcat-v1_main.yml
+++ b/.github/workflows/medcat-v1_main.yml
@@ -5,29 +5,31 @@ on:
     branches: [ main ]
   pull_request:
     paths:
-      - 'medcat-v1/**'
+      - 'v1/medcat/**'
       - '.github/workflows/medcat-v1**'
 defaults:
   run:
-    working-directory: ./medcat-v1
+    working-directory: ./v1/medcat
 jobs:
   build:
 
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ '3.9', '3.10', '3.11', '3.12' ]
+        python-version: [ '3.10', '3.11', '3.12' ]
       max-parallel: 4
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v6
         with:
           python-version: ${{ matrix.python-version }}
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
+          export SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MEDCAT="1.16.0dev0"
+          python -m pip install "setuptools-scm>=8.0,<9.0"
           pip install -r requirements-dev.txt
       - name: Check types
         run: |
@@ -49,15 +51,16 @@ jobs:
           midpoint=$((num_files / 2))
           first_half_nl=$(echo "$all_files" | head -n $midpoint)
           second_half_nl=$(echo "$all_files" | tail -n +$(($midpoint + 1)))
-          timeout 25m python -m unittest ${first_half_nl[@]}
-          timeout 25m python -m unittest ${second_half_nl[@]}
+          python -m unittest ${first_half_nl[@]}
+          python -m unittest ${second_half_nl[@]}
+        timeout-minutes: 45
       - name: Regression
         run: source tests/resources/regression/run_regression.sh
       - name: Model backwards compatibility
         run: source tests/resources/model_compatibility/check_backwards_compatibility.sh
       - name: Get the latest release version
         id: get_latest_release
-        uses: actions/github-script@v6
+        uses: actions/github-script@v8
         with:
           script: |
             const latestRelease = await github.rest.repos.getLatestRelease({
@@ -74,13 +77,11 @@ jobs:
           python tests/check_deprecations.py "$VERSION" --next-version --remove-prefix
 
   publish-to-test-pypi:
-    # Disable pypy publish waiting for TEST_PYPI_API_TOKEN
     if: |
       github.repository == 'CogStack/cogstack-nlp' &&
       github.ref == 'refs/heads/main' &&
       github.event_name == 'push' &&
-      startsWith(github.ref, 'refs/tags') != true &&
-      false 
+      startsWith(github.ref, 'refs/tags') != true
     runs-on: ubuntu-24.04
     timeout-minutes: 45
     concurrency: publish-to-test-pypi
@@ -88,15 +89,15 @@ jobs:
 
     steps:
       - name: Checkout main
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           ref: 'main'
           fetch-depth: 0
 
-      - name: Set up Python 3.9
-        uses: actions/setup-python@v4
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v6
         with:
-          python-version: 3.9
+          python-version: "3.10"
 
       - name: Install pypa/build
         run: >-
@@ -113,6 +114,7 @@ jobs:
 
       - name: Build a binary wheel and a source tarball
         run: >-
+          SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MEDCAT="1.16.0dev0"
           python -m
           build
           --sdist
@@ -121,7 +123,7 @@ jobs:
           .
 
       - name: Publish dev distribution to Test PyPI
-        uses: pypa/gh-action-pypi-publish@v1.4.2
+        uses: pypa/gh-action-pypi-publish@v1.13.0
         with:
           password: ${{ secrets.TEST_PYPI_API_TOKEN }}
           repository_url: https://test.pypi.org/legacy/
diff --git a/.github/workflows/medcat-v1_production.yml b/.github/workflows/medcat-v1_production.yml
index 89b037ca4..508ca1360 100644
--- a/.github/workflows/medcat-v1_production.yml
+++ b/.github/workflows/medcat-v1_production.yml
@@ -1,41 +1,43 @@
 # TODO: Fix Medcat V1 Release Actions
 # Disabled waiting for designed release process
-# Disabled waiting for PYPI_API_TOKEN
 name: medcat-v1 - production
 
 on:
   push:
     branches: [ "medcat-v1/production", "medcat-v1/v[0-9]+.[0-9]+.post" ]
   
-  # release:
-  #   types: [ published , edited ]
+  release:
+    types: [ published , edited ]
+
 defaults:
   run:
-    working-directory: ./medcat-v1
+    working-directory: ./v1/medcat
 jobs:
   build-n-publish-to-pypi:
 
     runs-on: ubuntu-24.04
     concurrency: build-n-publish-to-pypi
-    if: | 
-     github.repository == 'CogStack/cogstack-nlp' &&
-     false   
+    if: |
+      github.repository == 'CogStack/cogstack-nlp' &&
+      (github.event_name != 'release' || startsWith(github.event.release.tag_name, 'medcat/v1.'))
+
 
     steps:
       - name: Checkout production
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           ref: ${{ github.event.release.target_commitish }}
           fetch-depth: 0
 
-      - name: Set up Python 3.9
-        uses: actions/setup-python@v4
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v6
         with:
-          python-version: 3.9
+          python-version: "3.10"
 
       - name: Run UATs
         run: |
           python -m pip install --upgrade pip
+          export SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MEDCAT="1.16.5"  # NOTE: This is where the project verison is set
           pip install -r requirements-dev.txt
           all_files=$(git ls-files | grep '^tests/.*\.py$' | grep -v '/__init__\.py$' | sed 's/\.py$//' | sed 's/\//./g')
           num_files=$(echo "$all_files" | wc -l)
@@ -54,6 +56,7 @@ jobs:
 
       - name: Build a binary wheel and a source tarball
         run: >-
+          SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MEDCAT="1.16.5"
           python -m
           build
           --sdist
@@ -63,6 +66,8 @@ jobs:
 
       - name: Publish production distribution to PyPI
         if: startsWith(github.ref, 'refs/tags') && ! github.event.release.prerelease
-        uses: pypa/gh-action-pypi-publish@v1.4.2
+        uses: pypa/gh-action-pypi-publish@v1.13.0
         with:
+          # TODO CU-869a25n7e Use Trusted Platform Publisher based PyPI release
           password: ${{ secrets.PYPI_API_TOKEN }}
+          packages_dir: v1/medcat/dist
diff --git a/.github/workflows/medcat-v2-lib-stability.yml b/.github/workflows/medcat-v2-lib-stability.yml
new file mode 100644
index 000000000..5d8b07f23
--- /dev/null
+++ b/.github/workflows/medcat-v2-lib-stability.yml
@@ -0,0 +1,58 @@
+name: MedCAT-nightly-stability-check
+permissions:
+  contents: read
+on:
+  schedule:
+    - cron: "0 3 * * *"  # every day at 3am UTC
+  workflow_dispatch:     # allow manual runs
+  pull_request:
+    paths:
+      - ".github/workflows/medcat-v2-lib-stability.yml"
+
+defaults:
+  run:
+    working-directory: ./medcat-v2
+
+
+jobs:
+  test:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, macos-latest, windows-latest]
+        python-version: [ "3.10", "3.11", "3.12", "3.13"]
+
+    steps:
+      - uses: actions/checkout@v5
+      - uses: astral-sh/setup-uv@v7
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install with latest deps
+        shell: bash
+        run: |
+          uv run --python ${{ matrix.python-version }} python -m ensurepip
+          uv run --python ${{ matrix.python-version }} python -m pip install --upgrade pip
+          # install cpu-only torch for MacOS
+          if [[ "$RUNNER_OS" == "macOS" ]]; then
+            uv run --python ${{ matrix.python-version }} python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
+          fi
+          uv run --python ${{ matrix.python-version }} python -m pip install ".[spacy,deid,meta-cat,rel-cat,dict-ner,dev]"
+
+      - name: Check types
+        run: |
+          uv run --python ${{ matrix.python-version }} python -m mypy --follow-imports=normal medcat
+
+      - name: Ruff linting
+        run: |
+          uv run --python ${{ matrix.python-version }} python -m ruff check medcat --preview
+
+      - name: Test
+        run: |
+          uv run --python ${{ matrix.python-version }} python -m unittest discover
+        timeout-minutes: 45
+
+      - name: Model regression
+        run: |
+          uv run --python ${{ matrix.python-version }} bash tests/backwards_compatibility/run_current.sh
diff --git a/.github/workflows/medcat-v2-tutorials_main.yml b/.github/workflows/medcat-v2-tutorials_main.yml
index 113fc75e3..3c0203bc1 100644
--- a/.github/workflows/medcat-v2-tutorials_main.yml
+++ b/.github/workflows/medcat-v2-tutorials_main.yml
@@ -17,9 +17,9 @@ jobs:
   basic-and-meta:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: "3.11"
           cache: 'pip'
@@ -61,9 +61,9 @@ jobs:
         ]
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: "3.11"
 
diff --git a/.github/workflows/medcat-v2_main.yml b/.github/workflows/medcat-v2_main.yml
index 2788507f3..6b2a510a3 100644
--- a/.github/workflows/medcat-v2_main.yml
+++ b/.github/workflows/medcat-v2_main.yml
@@ -15,12 +15,12 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ '3.9', '3.10', '3.11', '3.12' ]
-      max-parallel: 4
+        python-version: [ '3.10', '3.11', '3.12', '3.13' ]
+      max-parallel: 5
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Install uv for Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v6
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true
@@ -38,7 +38,7 @@ jobs:
           uv run ruff check medcat --preview
       - name: Test
         run: |
-          timeout 20m uv run python -m unittest discover
+          timeout 30m uv run python -m unittest discover
       - name: Model regression
         run: |
           uv run bash tests/backwards_compatibility/run_current.sh
@@ -46,4 +46,4 @@ jobs:
         run: |
           uv run bash tests/backwards_compatibility/check_backwards_compatibility.sh
       - name: Minimize uv cache
-        run: uv cache prune --ci
\ No newline at end of file
+        run: uv cache prune --ci
diff --git a/.github/workflows/medcat-v2_release.yml b/.github/workflows/medcat-v2_release.yml
index d27406722..a476b9ff9 100644
--- a/.github/workflows/medcat-v2_release.yml
+++ b/.github/workflows/medcat-v2_release.yml
@@ -3,10 +3,12 @@ name: medcat-v2 - Build Python Package
 on:
   push:
     tags:
-      - "medcat/v*"
+      - "medcat/v2*"
 
 permissions:
   contents: write
+  id-token: write
+
 
 defaults:
   run:
@@ -21,7 +23,7 @@ jobs:
       version_only: ${{ steps.extract.outputs.version_only }}
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       - name: Extract version tag and checkout release branch
         id: extract
@@ -48,10 +50,10 @@ jobs:
           git pull origin $BRANCH_NAME
 
         # NOTE: building with the lowest python version supported by the package
-      - name: Set up Python 3.9
-        uses: actions/setup-python@v5
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v6
         with:
-          python-version: "3.9"
+          python-version: "3.10"
 
       - name: Install build dependencies
         run: pip install --upgrade build
@@ -73,13 +75,13 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12"]
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: ${{ matrix.python-version }}
 
@@ -88,25 +90,10 @@ jobs:
 
       - name: Generate requirements and download (CPU)
         run: |
-          if [[ "${{ matrix.python-version }}" == "3.9" ]]; then
-            echo "Runnoing unsafe index strategy for Python 3.9 to avoid issues with torch / numpy compatibility"
-            # NOTE: for python 3.9 it will otherwise look for `numpy>2` in torch's index
-            #       but there's (as of writing on 2025-07-02) none there that support 3.9
-            #       (though there are ones that support 3.10+) and because of that this
-            #       step would fail wihtout the unsafe index match
-            #       for some documentation on dependency confusion attacks, can reference:
-            #       https://docs.astral.sh/uv/reference/settings/#pip_index-strategy
-            uv pip compile pyproject.toml --only-binary=:all: \
-              --extra spacy --extra deid --extra meta-cat --extra rel-cat \
-              --extra-index-url https://download.pytorch.org/whl/cpu \
-              --index-strategy unsafe-best-match \
-              > req-cpu.txt
-          else
-            uv pip compile pyproject.toml --only-binary=:all: \
+          uv pip compile pyproject.toml --only-binary=:all: \
               --extra spacy --extra deid --extra meta-cat --extra rel-cat \
               --extra-index-url https://download.pytorch.org/whl/cpu \
               > req-cpu.txt
-          fi
           uv venv .venv
           .venv/bin/python -m ensurepip
           .venv/bin/python -m pip download --only-binary=:all: --dest bundle-cpu -r req-cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
@@ -135,7 +122,7 @@ jobs:
 #          cp req-gpu.txt bundle-gpu/requirements.txt
 
       - name: Download built medcat wheel for inclusion in bundles
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
         with:
           name: medcat-v2-wheel
           path: medcat-v2/built-wheel
@@ -167,7 +154,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Download all artifacts
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
         with:
           path: medcat-v2/artifacts
 
@@ -179,7 +166,7 @@ jobs:
           ls -l dist/
 
       - name: Download built wheel
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
         with:
           name: medcat-v2-wheel
           path: medcat-v2/dist-wheel
@@ -202,6 +189,11 @@ jobs:
           files: |
             medcat-v2/dist/*
 
+      - name: Remove install bundles in preparations for PyPI push
+        run: |
+          rm dist/medcat-v${{ needs.build.outputs.version_only }}-*-cpu.tar.gz
+#          rm dist/medcat-v${{ needs.build.outputs.version_only }}-*-gpu.tar.gz
+
       - name: Publish to PyPI
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 000000000..1fc0dc380
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,212 @@
+
+# Python gitignore https://github.com/github/gitignore/blob/main/Python.gitignore
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[codz]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+#poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
+#   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
+#pdm.lock
+#pdm.toml
+.pdm-python
+.pdm-build/
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+#pixi.lock
+#   Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
+#   in the .venv directory. It is recommended not to include this directory in version control.
+.pixi
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.envrc
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Abstra
+# Abstra is an AI-powered process automation framework.
+# Ignore directories containing user credentials, local state, and settings.
+# Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#  Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
+#  that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#  and can be added to the global gitignore or merged into this file. However, if you prefer,
+#  you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Cursor
+#  Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
+#  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
+#  refer to https://docs.cursor.com/context/ignore-files
+.cursorignore
+.cursorindexingignore
+
+# Marimo
+marimo/_static/
+marimo/_lsp/
+__marimo__/
+
+# Streamlit
+.streamlit/secrets.toml
\ No newline at end of file
diff --git a/medcat-v1/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
similarity index 100%
rename from medcat-v1/CODE_OF_CONDUCT.md
rename to CODE_OF_CONDUCT.md
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 000000000..efbc47235
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,135 @@
+# Contributing to CogStack
+First of all, we would like to thank you for considering contributing towards CogStack!
+
+Please consider the below a guideline. Best judgment should be used in situations where the guidelines are not clear.
+
+## Code of Conduct
+
+All contributors are expected to follow our [Code of Conduct](CODE_OF_CONDUCT.md).
+
+## Questions
+
+If you have questions regarding this project, you are better off expressing them in our [discourse](https://discourse.cogstack.org/) rather than creating an issue on github.
+
+## Background Information
+
+Most of the relevant links to background information are listed in our [README](README.md).
+
+## How to Contribute
+
+There are many ways of contributing to the project
+- Reporting issues
+- Suggesting new features
+- Contributing to code
+
+The following subsections will go into a little more detail regarding each of the above:
+
+### Reporting Issues
+
+Some things to remember when reporting an issue:
+- Describe the issue clearly
+- Provide the steps to reproduce the issue (if possible)
+- Describe the behaviour you observed
+- Describe the behaviour you expected
+- Include all relevant information, including (but not limited to)
+  - Version of MedCAT used
+  - Versions of dependencies used
+  - Config file(s)
+  - Database(s) used
+  - Deployment environment
+
+### Suggesting New Features
+
+CogStack is always looking to grow and provide new features.
+
+Some things to remember when suggesting a new feature:
+- Describe the new feature in detail
+- Describe the benefits of this new feature
+
+### Contributing to Code
+Thank you for taking the time to contribute! We appreciate your efforts to improve this project and make it better for everyone.
+
+Before submitting a pull request, try to make sure that it's likely to pass checks and be up to date
+
+Each project in this repository may have its own specific commands or tools used, so be sure to check the readme or documentation for each part for details.
+
+Here are a few guidelines to follow:
+- The changes are based on the `main` branch (i.e., merge the `main` branch into your feature branch before submitting a PR).
+- There are no issues with static type checks (e.g., run `mypy` ).
+- The code passes linting and style checks (e.g., `flake8` or `ruff`).
+- All tests pass successfully (run your project's test suite as documented, eg run `python -m unittest discover`).
+
+
+## Code Guidelines
+
+### Commit Message Guidelines
+
+We recommend following a conventional commit style to keep the project history clear and meaningful. This is well documented on https://www.conventionalcommits.org/en/v1.0.0/
+
+The Conventional Commit standard looks like this:
+
+```
+<type>(<scope>): <short summary>
+<blank line>
+[optional body]
+<blank line>
+[optional footer(s)]
+```
+
+An example commit message could be
+
+```
+feat(medcat-service): Create APIs for healthchecks for container monitoring
+```
+
+For internal devs, you can include an issue number in the format CU-xxxxx in your commit and/or PR title, and it will automatically link the issue showing in github and clickup.
+
+#### Types
+These are some of the types that can be used in your commit message header:
+
+- feat: New features
+- fix: Bug fixes
+- test: Changes to tests, eg adding a new unit test
+- chore: Miscelanous cleanups or toil like changing .gitignore
+- docs: Adding documentation
+- style: Code formatting only changes
+- refactor: Code refactoring that doesnt change the runtime
+- perf: Performance improvement changes
+- build: Build related changes, such as updating dependencies or github actions
+
+#### Scopes
+Provide the project as a scope. 
+
+This is likely to be the parent folder name your changes are under, for example "medcat-service", or "medcat-trainer".
+
+Scope is optional, for changes that target the whole repo or multiple projects.
+
+
+### Pull Request Guidelines
+
+#### Pull Request Titles
+We recommend using your PR title in the same format as your commit message header, so it clearly describes the change. 
+
+To repeat the above, a typical format for a PR title could be:
+
+```
+<type>(<scope>): <short summary>
+```
+
+An example PR title could be
+
+```
+feat(medcat-service): Create API for healthchecks for container monitoring
+```
+
+#### Pull Request Bodies
+We haven't put a formal template in for pull requests yet.
+
+Though the structure isn’t enforced, a good PR description helps reviewers and future maintainers.
+
+Consider including things such as:
+
+- Why is this change needed? – explain the motivation or problem being solved. What is the current behavior, and what is the new behavior. 
+- How was this implemented? – detail the approach, architecture decisions, or dependencies.
+- How was this tested? – provide instructions for verifying the change works correctly.
+- Are there any references? – link to issues, discussions, or design documents.
\ No newline at end of file
diff --git a/README.md b/README.md
index a5285e05d..674d73f3d 100644
--- a/README.md
+++ b/README.md
@@ -2,13 +2,27 @@
 
 [![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)
 [![Documentation Status](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)
-[![Latest release](https://img.shields.io/github/v/release/CogStack/MedCAT2)](https://github.com/CogStack/MedCAT2/releases/latest)
+[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
 <!-- [![pypi Version](https://img.shields.io/pypi/v/medcat.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/medcat/) -->
 
-Cogstack Natural Language Processing is for analysing clinical data using AI to draw insights from text in or documents in an Electronic Health Records.
+CogStack Natural Language Processing offers tools to process and extract information from clinical text and documents in Electronic Health Records (EHRs).
 
+The primary NLP focus is the [Medical Concept Annotation Tool](medcat-v2/README.md) (MedCAT), a self-supervised machine learning algorithm for extracting concepts using any concept vocabulary including UMLS/SNOMED-CT. See the paper on [arXiv](https://arxiv.org/abs/2010.01165).
 
-**Official Docs [here](https://medcat2.readthedocs.io/en/latest/)**
+
+**Official Docs [here](https://docs.cogstack.org)**
 
 **Discussion Forum [discourse](https://discourse.cogstack.org/)**
 
+
+## Projects
+
+### NLP
+- [Medical Concept Annotation Tool](medcat-v2/README.md): MedCAT can be used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT, UMLS, or HPO (and potentially other ontologies).
+- [Medical Concept Annotation Tool Trainer](medcat-trainer/README.md): MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
+- [MedCAT Service](medcat-service/README.md): A REST API wrapper for [MedCAT](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/), allowing you to send text for processing and receive structured annotations in response.
+
+### Learning and Demos
+- [Deidentify app](anoncat-demo-app/README.md): Demo for AnonCAT. It uses [MedCAT](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2), an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.
+- [MedCAT Demo App](medcat-demo-app/README.md): A simple web application showcasing how to use MedCAT for clinical text annotation.
+- [MedCAT Tutorials](medcat-v2-tutorials/README.md): The MedCAT Tutorials privde an interactive learning path for using MedCAT
\ No newline at end of file
diff --git a/SECURITY.md b/SECURITY.md
new file mode 100644
index 000000000..9b4295c8d
--- /dev/null
+++ b/SECURITY.md
@@ -0,0 +1,58 @@
+# Security Policy
+
+## Supported Projects
+
+There are multiple projects in this repo. Versions are released as tags with a prefix to denote which project is targeted.
+
+We actively support security updates for the following versions:
+
+### MedCAT NLP Library
+- [Medical Concept Annotation Tool](medcat-v2/README.md)
+
+| Version         | Supported          |
+| -------         | ------------------ |
+| medcat/v2.x.x   | :white_check_mark: |
+| medcat/v1.x.x   | :white_check_mark: |
+| < 1.0           | :x:                | 
+
+### MedCAT Trainer
+- [Medical Concept Annotation Tool Trainer](medcat-trainer/README.md)
+
+| Version                | Supported          |
+| -------                | ------------------ |
+| MedCATTrainer/v2.x.x   | :white_check_mark: |
+| < 2.0                  | :x:                |
+
+
+### MedCAT Service
+- [MedCAT Service](medcat-service/README.md)
+
+| Version               | Supported          |
+| -------               | ------------------ |
+| MedCATService/1.x     | :white_check_mark: |
+| < 1.0                 | :x:                |
+
+
+## Unsupported Projects
+Unless a project is explicitly stated in the previous section, all other projects in this monorepo are provided as-is for demonstration, testing, or experimentation purposes.
+
+In terms of secuirty the unlisted projects are not intended for use with production data or in a live environment. 
+
+By using them, you acknowledge that:
+
+- They are provided without warranties of any kind, express or implied, including but not limited to security, reliability, or suitability for a particular purpose.
+- They may contain incomplete features, insecure defaults, or other issues that could compromise data or operations.
+- The maintainers do not guarantee active support, monitoring, or security updates for these projects.
+- You are solely responsible for reviewing, testing, and securing any code before use with sensitive or production data.
+
+## Reporting a Vulnerability
+
+If you discover a security vulnerability, **please do not open a public issue**.
+
+Instead, report it privately by using the **[GitHub Security Advisories](https://github.com/CogStack/cogstack-nlp/security/advisories)** for this repo
+
+### Guidelines for Responsible Disclosure
+
+- Do not publicly disclose details of the vulnerability until we have released a fix.
+- Do not attempt to exploit the vulnerability beyond what is necessary to demonstrate it.
+- Provide as much detail as possible (affected versions, reproduction steps, etc.) to help us triage the issue quickly.
\ No newline at end of file
diff --git a/anoncat-demo-app/README.md b/anoncat-demo-app/README.md
index ba85699c1..4520ccb24 100644
--- a/anoncat-demo-app/README.md
+++ b/anoncat-demo-app/README.md
@@ -1,6 +1,6 @@
 # Deidentify app
 
-Demo for AnonCAT. It uses [MedCAT](https://github.com/CogStack/MedCAT), an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.
+Demo for AnonCAT. It uses [MedCAT](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2), an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.
 
 ## Example
 
@@ -22,7 +22,7 @@ MODEL_NAME = '<NAME OF MODEL HERE.zip>'
 
 ### Build your own model
 
-To build your own models please follow the tutorials outlined in [MedCATtutorials](https://github.com/CogStack/MedCATtutorials)
+To build your own models please follow the tutorials outlined in [MedCATtutorials](https://github.com/CogStack/cogstack-nlp/tree/main/v1/medcat-tutorials)
 
 *__Note:__ This is currently under development*
 
diff --git a/anoncat-demo-app/app/frontend/package-lock.json b/anoncat-demo-app/app/frontend/package-lock.json
index df84ef978..02fd5ed46 100644
--- a/anoncat-demo-app/app/frontend/package-lock.json
+++ b/anoncat-demo-app/app/frontend/package-lock.json
@@ -9,7 +9,7 @@
       "version": "0.0.0",
       "dependencies": {
         "@mdi/font": "^7.4.47",
-        "axios": "^1.6.8",
+        "axios": "^1.8.2",
         "vue": "^3.4.21",
         "vue-cookies": "^1.8.4",
         "vue-router": "^4.3.0",
@@ -29,7 +29,7 @@
         "npm-run-all2": "^6.1.2",
         "prettier": "^3.2.5",
         "typescript": "~5.4.0",
-        "vite": "^5.2.8",
+        "vite": "^5.4.20",
         "vite-plugin-vue-devtools": "^7.0.25",
         "vue-tsc": "^2.0.11"
       }
@@ -680,13 +680,14 @@
       }
     },
     "node_modules/@esbuild/aix-ppc64": {
-      "version": "0.20.2",
-      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.20.2.tgz",
-      "integrity": "sha512-D+EBOJHXdNZcLJRBkhENNG8Wji2kgc9AZ9KiPr1JuZjsNtyHzrsfLRrY0tk2H2aoFu6RANO1y1iPPUCDYWkb5g==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz",
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       "cpu": [
         "ppc64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "aix"
@@ -696,13 +697,14 @@
       }
     },
     "node_modules/@esbuild/android-arm": {
-      "version": "0.20.2",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.20.2.tgz",
-      "integrity": "sha512-t98Ra6pw2VaDhqNWO2Oph2LXbz/EJcnLmKLGBJwEwXX/JAN83Fym1rU8l0JUWK6HkIbWONCSSatf4sf2NBRx/w==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.21.5.tgz",
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       "cpu": [
         "arm"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "android"
@@ -712,13 +714,14 @@
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     },
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+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.21.5.tgz",
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       "cpu": [
         "arm64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "android"
@@ -728,13 +731,14 @@
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     },
     "node_modules/@esbuild/android-x64": {
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-      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.20.2.tgz",
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+      "version": "0.21.5",
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       "cpu": [
         "x64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "android"
@@ -744,13 +748,14 @@
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     },
     "node_modules/@esbuild/darwin-arm64": {
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       "cpu": [
         "arm64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
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@@ -760,13 +765,14 @@
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+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.21.5.tgz",
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       "cpu": [
         "x64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "darwin"
@@ -776,13 +782,14 @@
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     },
     "node_modules/@esbuild/freebsd-arm64": {
-      "version": "0.20.2",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.20.2.tgz",
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+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.21.5.tgz",
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       "cpu": [
         "arm64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "freebsd"
@@ -792,13 +799,14 @@
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     },
     "node_modules/@esbuild/freebsd-x64": {
-      "version": "0.20.2",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.20.2.tgz",
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       "cpu": [
         "x64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "freebsd"
@@ -808,13 +816,14 @@
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     },
     "node_modules/@esbuild/linux-arm": {
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       "cpu": [
         "arm"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "linux"
@@ -824,13 +833,14 @@
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       "cpu": [
         "arm64"
       ],
       "dev": true,
+      "license": "MIT",
       "optional": true,
       "os": [
         "linux"
@@ -840,13 +850,14 @@
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     "node_modules/@esbuild/linux-ia32": {
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@@ -2987,6 +3189,15 @@
         "node": "^8.16.0 || ^10.6.0 || >=11.0.0"
       }
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+    "node_modules/function-bind": {
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+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
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@@ -2996,6 +3207,43 @@
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       }
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+    "node_modules/get-intrinsic": {
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+      "license": "MIT",
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+        "function-bind": "^1.1.2",
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+        "has-symbols": "^1.1.0",
+        "hasown": "^2.0.2",
+        "math-intrinsics": "^1.1.0"
+      },
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+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
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+      },
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@@ -3097,6 +3345,18 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
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+    "node_modules/gopd": {
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
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@@ -3118,6 +3378,45 @@
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       }
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/has-tostringtag": {
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+      "license": "MIT",
+      "dependencies": {
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+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/hasown": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
+      "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
+      "license": "MIT",
+      "dependencies": {
+        "function-bind": "^1.1.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
     "node_modules/he": {
       "version": "1.2.0",
       "resolved": "https://registry.npmjs.org/he/-/he-1.2.0.tgz",
@@ -3263,6 +3562,7 @@
       "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz",
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       "dev": true,
+      "license": "MIT",
       "engines": {
         "node": ">=0.12.0"
       }
@@ -3474,6 +3774,15 @@
       "integrity": "sha512-lSj71DgVv20kO0kGbs42icDzbRot61gEDBLQACzkUuznRQBUYmbxzEkGU6dNBb5fRWHMaScYlAXX96HQ4/cJWA==",
       "dev": true
     },
+    "node_modules/math-intrinsics": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
+      "integrity": "sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
     "node_modules/memorystream": {
       "version": "0.3.1",
       "resolved": "https://registry.npmjs.org/memorystream/-/memorystream-0.3.1.tgz",
@@ -3585,15 +3894,16 @@
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-      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz",
-      "integrity": "sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==",
+      "version": "3.3.11",
+      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz",
+      "integrity": "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==",
       "funding": [
         {
           "type": "github",
           "url": "https://github.com/sponsors/ai"
         }
       ],
+      "license": "MIT",
       "bin": {
         "nanoid": "bin/nanoid.cjs"
       },
@@ -3854,9 +4164,10 @@
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     },
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+      "version": "1.1.1",
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+      "integrity": "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==",
+      "license": "ISC"
     },
     "node_modules/picomatch": {
       "version": "2.3.1",
@@ -3883,9 +4194,9 @@
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-      "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
+      "version": "8.5.6",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz",
+      "integrity": "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==",
       "funding": [
         {
           "type": "opencollective",
@@ -3900,10 +4211,11 @@
           "url": "https://github.com/sponsors/ai"
         }
       ],
+      "license": "MIT",
       "dependencies": {
-        "nanoid": "^3.3.7",
-        "picocolors": "^1.0.0",
-        "source-map-js": "^1.2.0"
+        "nanoid": "^3.3.11",
+        "picocolors": "^1.1.1",
+        "source-map-js": "^1.2.1"
       },
       "engines": {
         "node": "^10 || ^12 || >=14"
@@ -4046,12 +4358,13 @@
       }
     },
     "node_modules/rollup": {
-      "version": "4.14.1",
-      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.14.1.tgz",
-      "integrity": "sha512-4LnHSdd3QK2pa1J6dFbfm1HN0D7vSK/ZuZTsdyUAlA6Rr1yTouUTL13HaDOGJVgby461AhrNGBS7sCGXXtT+SA==",
+      "version": "4.50.1",
+      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.50.1.tgz",
+      "integrity": "sha512-78E9voJHwnXQMiQdiqswVLZwJIzdBKJ1GdI5Zx6XwoFKUIk09/sSrr+05QFzvYb8q6Y9pPV45zzDuYa3907TZA==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "@types/estree": "1.0.5"
+        "@types/estree": "1.0.8"
       },
       "bin": {
         "rollup": "dist/bin/rollup"
@@ -4061,21 +4374,27 @@
         "npm": ">=8.0.0"
       },
       "optionalDependencies": {
-        "@rollup/rollup-android-arm-eabi": "4.14.1",
-        "@rollup/rollup-android-arm64": "4.14.1",
-        "@rollup/rollup-darwin-arm64": "4.14.1",
-        "@rollup/rollup-darwin-x64": "4.14.1",
-        "@rollup/rollup-linux-arm-gnueabihf": "4.14.1",
-        "@rollup/rollup-linux-arm64-gnu": "4.14.1",
-        "@rollup/rollup-linux-arm64-musl": "4.14.1",
-        "@rollup/rollup-linux-powerpc64le-gnu": "4.14.1",
-        "@rollup/rollup-linux-riscv64-gnu": "4.14.1",
-        "@rollup/rollup-linux-s390x-gnu": "4.14.1",
-        "@rollup/rollup-linux-x64-gnu": "4.14.1",
-        "@rollup/rollup-linux-x64-musl": "4.14.1",
-        "@rollup/rollup-win32-arm64-msvc": "4.14.1",
-        "@rollup/rollup-win32-ia32-msvc": "4.14.1",
-        "@rollup/rollup-win32-x64-msvc": "4.14.1",
+        "@rollup/rollup-android-arm-eabi": "4.50.1",
+        "@rollup/rollup-android-arm64": "4.50.1",
+        "@rollup/rollup-darwin-arm64": "4.50.1",
+        "@rollup/rollup-darwin-x64": "4.50.1",
+        "@rollup/rollup-freebsd-arm64": "4.50.1",
+        "@rollup/rollup-freebsd-x64": "4.50.1",
+        "@rollup/rollup-linux-arm-gnueabihf": "4.50.1",
+        "@rollup/rollup-linux-arm-musleabihf": "4.50.1",
+        "@rollup/rollup-linux-arm64-gnu": "4.50.1",
+        "@rollup/rollup-linux-arm64-musl": "4.50.1",
+        "@rollup/rollup-linux-loongarch64-gnu": "4.50.1",
+        "@rollup/rollup-linux-ppc64-gnu": "4.50.1",
+        "@rollup/rollup-linux-riscv64-gnu": "4.50.1",
+        "@rollup/rollup-linux-riscv64-musl": "4.50.1",
+        "@rollup/rollup-linux-s390x-gnu": "4.50.1",
+        "@rollup/rollup-linux-x64-gnu": "4.50.1",
+        "@rollup/rollup-linux-x64-musl": "4.50.1",
+        "@rollup/rollup-openharmony-arm64": "4.50.1",
+        "@rollup/rollup-win32-arm64-msvc": "4.50.1",
+        "@rollup/rollup-win32-ia32-msvc": "4.50.1",
+        "@rollup/rollup-win32-x64-msvc": "4.50.1",
         "fsevents": "~2.3.2"
       }
     },
@@ -4195,9 +4514,10 @@
       }
     },
     "node_modules/source-map-js": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
-      "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz",
+      "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==",
+      "license": "BSD-3-Clause",
       "engines": {
         "node": ">=0.10.0"
       }
@@ -4301,6 +4621,7 @@
       "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
       "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "is-number": "^7.0.0"
       },
@@ -4433,14 +4754,15 @@
       "dev": true
     },
     "node_modules/vite": {
-      "version": "5.2.8",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-5.2.8.tgz",
-      "integrity": "sha512-OyZR+c1CE8yeHw5V5t59aXsUPPVTHMDjEZz8MgguLL/Q7NblxhZUlTu9xSPqlsUO/y+X7dlU05jdhvyycD55DA==",
+      "version": "5.4.20",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-5.4.20.tgz",
+      "integrity": "sha512-j3lYzGC3P+B5Yfy/pfKNgVEg4+UtcIJcVRt2cDjIOmhLourAqPqf8P7acgxeiSgUB7E3p2P8/3gNIgDLpwzs4g==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "esbuild": "^0.20.1",
-        "postcss": "^8.4.38",
-        "rollup": "^4.13.0"
+        "esbuild": "^0.21.3",
+        "postcss": "^8.4.43",
+        "rollup": "^4.20.0"
       },
       "bin": {
         "vite": "bin/vite.js"
@@ -4459,6 +4781,7 @@
         "less": "*",
         "lightningcss": "^1.21.0",
         "sass": "*",
+        "sass-embedded": "*",
         "stylus": "*",
         "sugarss": "*",
         "terser": "^5.4.0"
@@ -4476,6 +4799,9 @@
         "sass": {
           "optional": true
         },
+        "sass-embedded": {
+          "optional": true
+        },
         "stylus": {
           "optional": true
         },
diff --git a/anoncat-demo-app/app/frontend/package.json b/anoncat-demo-app/app/frontend/package.json
index c4ca58373..d28d84d33 100644
--- a/anoncat-demo-app/app/frontend/package.json
+++ b/anoncat-demo-app/app/frontend/package.json
@@ -14,7 +14,7 @@
   },
   "dependencies": {
     "@mdi/font": "^7.4.47",
-    "axios": "^1.6.8",
+    "axios": "^1.8.2",
     "vue": "^3.4.21",
     "vue-cookies": "^1.8.4",
     "vue-router": "^4.3.0",
@@ -34,7 +34,7 @@
     "npm-run-all2": "^6.1.2",
     "prettier": "^3.2.5",
     "typescript": "~5.4.0",
-    "vite": "^5.2.8",
+    "vite": "^5.4.20",
     "vite-plugin-vue-devtools": "^7.0.25",
     "vue-tsc": "^2.0.11"
   }
diff --git a/anoncat-demo-app/app/frontend/src/App.vue b/anoncat-demo-app/app/frontend/src/App.vue
index 2cfb2f401..dfc028115 100644
--- a/anoncat-demo-app/app/frontend/src/App.vue
+++ b/anoncat-demo-app/app/frontend/src/App.vue
@@ -21,7 +21,7 @@
         <br>
         <p>Please DO NOT test with any real sensitive PHI data.</p>
         <br>
-        <p>Local validation and fine-tuning available via <a href="/CogStack/MedCATtrainer">MedCATtrainer</a>.
+        <p>Local validation and fine-tuning available via <a href="/CogStack/cogstack-nlp/tree/main/medcat-trainer">MedCATtrainer</a>.
           Email us, <a href="mailto:contact@cogstack.org">contact@cogstack.org</a>, to discuss model access, model performance, and your use case.
         </p>
         <br>
diff --git a/medcat-demo-app/README.md b/medcat-demo-app/README.md
index 128741d05..213aa447b 100644
--- a/medcat-demo-app/README.md
+++ b/medcat-demo-app/README.md
@@ -1 +1,5 @@
-This is a demo application for MedCAT, please note that it was made to be as unreadable as possible - I appologize to anyone that has to use this, it was not done on on purpose. 
+# MedCAT Demo App
+
+A simple web application showcasing how to use MedCAT for clinical text annotation.
+
+Please note that it was made to be as unreadable as possible - I appologize to anyone that has to use this, it was not done on on purpose. 
diff --git a/medcat-demo-app/webapp/requirements.txt b/medcat-demo-app/webapp/requirements.txt
index 6b4996125..9cc220d12 100644
--- a/medcat-demo-app/webapp/requirements.txt
+++ b/medcat-demo-app/webapp/requirements.txt
@@ -2,5 +2,5 @@ Django==3.2.25
 django-dbbackup==4.0.0b0
 django-storages[boto3]==1.12.3
 django-cron==0.5.1
-medcat[meta-cat,spacy] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.11.2#subdirectory=medcat-v2
+medcat[meta-cat,spacy]~=2.2.0
 urllib3==1.26.18
diff --git a/medcat-den/.gitignore b/medcat-den/.gitignore
new file mode 100644
index 000000000..9a392fcd1
--- /dev/null
+++ b/medcat-den/.gitignore
@@ -0,0 +1,212 @@
+
+# Python gitignore https://github.com/github/gitignore/blob/main/Python.gitignore
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[codz]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+#poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
+#   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
+#pdm.lock
+#pdm.toml
+.pdm-python
+.pdm-build/
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+#pixi.lock
+#   Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
+#   in the .venv directory. It is recommended not to include this directory in version control.
+.pixi
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.envrc
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Abstra
+# Abstra is an AI-powered process automation framework.
+# Ignore directories containing user credentials, local state, and settings.
+# Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#  Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#  that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#  and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#  you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Cursor
+#  Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
+#  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
+#  refer to https://docs.cursor.com/context/ignore-files
+.cursorignore
+.cursorindexingignore
+
+# Marimo
+marimo/_static/
+marimo/_lsp/
+__marimo__/
+
+# Streamlit
+.streamlit/secrets.toml
diff --git a/medcat-v1/LICENSE b/medcat-den/LICENSE
similarity index 100%
rename from medcat-v1/LICENSE
rename to medcat-den/LICENSE
diff --git a/medcat-den/README.md b/medcat-den/README.md
new file mode 100644
index 000000000..37d00670e
--- /dev/null
+++ b/medcat-den/README.md
@@ -0,0 +1,139 @@
+# MedCAT-den
+
+This is a remote (or user / machine local) storage addon for MedCAT.
+The idea is that instead of having duplicate models on disk for every project and user, you can reuse the ones centrally saved somewhere else.
+
+However, the nuance here is that the model still gets loaded into memory locally.
+This is so that we do not have to worry about data moving the underlying text data between machines.
+
+## The idea / functionality
+
+The current idea is that the den will provide the following functionality
+ - Allow listing of available models
+ - Allow fetching a model
+ - Allow pushing a model (after fine tuning)
+
+The workflow for the user would be (roughly) as follows:
+ - Instantiate a den instance
+   - The default could be set up solely by environmental values
+   - Though if nothing is set, it may default to a lower-functionality user-specific storage
+ - Use the den to get a list of available models
+   - Each model has a hash and some description
+ - Fetch a model from the den to use in local memory
+   - This downloads the model pack to a temporary folder
+   - Then extracts it there
+   - Subsequently loads it into memory
+   - And removes the temporary files
+ - Use model as needed
+   - Either inference
+   - Or fine-tuning
+ - If fine-tuning done, can push it back to the den
+   - This will pack up the model to a temporary folder
+   - Then push the .zip as an experiment to the remote
+
+## How to use
+
+To use a the MedCAT-den, juse get yourself a den:
+```python
+from medcat_den.den import get_default_den
+den = get_default_den()
+```
+And then list your available models:
+```python
+models = den.list_available_models()
+print("Models:", models)
+```
+Then get the specific model pack
+```python
+cat = den.fetch_model(models[0])
+```
+Once you're done with your model, you can push it back using
+```python
+den.push_model(cat, "Did some fine-tuning")
+```
+
+### Injecting the den to `CAT.load_model_pack`
+
+There is now the option to inject the den functionality directly into `CAT.load_model_pack`.
+That is to say, if this is used, `CAT.load_model_pack` will use MedCAT-Den to fetch the model from either the remote or local den.
+
+There are a number of ways to do this.
+1. You can use the context manager approach:
+    ```python
+    from medcat_den.injection import injected_den
+    with injected_den():
+      pass # Do the model load
+    # now the injection is turned off
+    ```
+2. You can directly call the injector before using anything else:
+    ```python
+    from medcat_den.injection import inject_into_medcat, uninject_into_medcat
+    inject_into_medcat()
+    # do the model load(s)
+    uninject_into_medcat()  # undo injection
+    ```
+
+As a note, the `inject_into_medcat` and `injected_den` methods allow you pass a few options:
+ - `den_getter`: The method to get the relevant den for your use case. Defaults to `get_default_den`.
+ - `model_name_mapper`: The model name mapper (if specified). Can either be a `dict` based mapping or a function based one.
+ - `prefix`: The prefix for the Den-based models. If not specified, all models are expected to be den-based ones. Otherwise, only prefixed models will be loaded from the den and others will be loaded off disk.
+
+### Using the den as a runtime injection target
+
+Given the above, one might find themselves in a situation where they want to run the injector as part of an entire runtime.
+There's ways of doing that as well:
+1. Running a module
+    ```bash
+    # instead of
+    python -m path.to.my_module arg1 arg2
+    # you can do
+    python -m medcat_den --with-injection -m path.to.my_module arg1 arg2
+    ```
+2. Running a script
+    ```bash
+    # instead of
+    python -m path/to/my_module.py arg1 arg2
+    # you can do
+    python -m medcat_den --with-injection python -m path/to/my_module.py arg1 arg2
+    ```
+3. Running a code string
+    ```bash
+    # instead of
+    python -c "from my_module import do_my_stuff;do_my_stuff()"
+    # you can do
+    python -m medcat_den --with-injection python -c "from my_module import do_my_stuff;do_my_stuff()"
+    ```
+4. Running interactively
+    ```bash
+    # instead of
+    python
+    # you can do
+    python -m medcat_den --with-injection python -i
+    ```
+4. Running interactively after something else (i.e a module or a script)
+    ```bash
+    # instead of
+    python <whatever>
+    # you can do
+    python -m medcat_den --with-injection python -i <whatever>
+    ```
+
+## Settings
+
+The above created a default den.
+If not prior configuraiton is done, this will be a user-local model cache.
+
+However, there's a set of environmental variables that can be set in order to curate the default den:
+| Environmetnal variable name    | Values | Description | Comments |
+| ------------------------------ | ------ | ----------- | -------- |
+| MEDCAT_DEN_TYPE                | `LOCAL_USER`, `LOCAL_MACHINE` | The type of den to use | Currently, only local dens have been implemented, but remote (e.g MedCATtery or even cloud) options can be implemented. |
+| MEDCAT_DEN_PATH                | str    | The save path (for local backends) | This is normally automatically specified based on OS and whether it's user or machien local. But can be overwritten here as well. |
+| MEDCAT_DEN_REMOTE_HOST         | str    | The host path to the remote (e.g MedCATtery) | This is currently not yet implemented |
+| MEDCAT_DEN_LOCAL_CACHE_PATH            | str | The local cache path (if required). | This allows caching of models from remote dens |
+| MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME | int | The expriation time for local cache (in seconds) | The default is 10 days |
+| MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE        | int | The maximum size of the cache in bytes | The default is 100 GB |
+| MEDCAT_DEN_LOCAL_CACHE_EVICTION_POLICY | str | The eviction policy for the local cache | The default is LRU |
+| MEDCAT_DEN_REMOTE_ALLOW_PUSH_FINETUNED | bool | Whether to allow locallly fine tuned model to be pushed to remote dens | Defaults to False |
+| MEDCAT_DEN_REMOTE_ALLOW_LOCAL_FINE_TUNE | bool | Whether to allow local fine tuning for remote dens | Defaults to False |
+
+When creating a den, the resolver will use the explicitly passed values first, and if none are provided, it will default to the ones defined in the environmental variables.
diff --git a/medcat-den/pyproject.toml b/medcat-den/pyproject.toml
new file mode 100644
index 000000000..00f21b875
--- /dev/null
+++ b/medcat-den/pyproject.toml
@@ -0,0 +1,64 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel",  "setuptools_scm>=8"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "medcat_den"
+dynamic = ["version"]
+description = "Model storage and lifecycle management for MedCAT with support for local, remote [TODO], and cloud [TODO] backends."
+readme = "README.md"
+license = { text = "Apache-2.0" }
+authors = [
+    { name="Mart Ratas", email="mart.ratas@kcl.ac.uk" }
+]
+requires-python = ">=3.10"
+
+keywords = ["NLP", "medical", "MedCAT", "model-registry"]
+
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: Science/Research",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "License :: OSI Approved :: Apache Software License"
+]
+
+dependencies = [
+    "medcat[spacy,deid,meta-cat,rel-cat]>=2.0.0",
+    "pydantic>=2,<3",
+    # for local data mostly
+    "platformdirs>=4.4.0,<5.0",
+    # for local cache of remote data (optional)
+    "diskcache>=5.6.3,<6.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest",
+    "ruff",
+    "mypy",
+    "diskcache-stubs",
+]
+
+[project.urls]
+Homepage = "https://github.com/CogStack/cogstack-nlp/tree/main/medcat-den"
+Repository = "https://github.com/CogStack/cogstack-nlp/tree/main/medcat-den"
+Issues = "https://github.com/CogStack/cogstack-nlp/issues"
+
+[tool.setuptools_scm]
+root = ".."
+tag_regex = "^medcat-den/v(?P<version>[0-9]+(?:\\.[0-9]+)*)$"
+version_scheme = "guess-next-dev"
+local_scheme = "no-local-version"
+
+[tool.setuptools]
+package-dir = {"" = "src"}
+
+[tool.setuptools.packages.find]
+where = ["src"]
+
+[tool.setuptools.package-data]
+"medcat_den" = ["py.typed"]
diff --git a/medcat-den/src/medcat_den/__init__.py b/medcat-den/src/medcat_den/__init__.py
new file mode 100644
index 000000000..f9f01975e
--- /dev/null
+++ b/medcat-den/src/medcat_den/__init__.py
@@ -0,0 +1,4 @@
+from .addons import _load_addons
+
+
+_load_addons()
diff --git a/medcat-den/src/medcat_den/__main__.py b/medcat-den/src/medcat_den/__main__.py
new file mode 100644
index 000000000..3fe8ffcda
--- /dev/null
+++ b/medcat-den/src/medcat_den/__main__.py
@@ -0,0 +1,10 @@
+import sys as __sys
+
+if __name__ == "__main__":
+    argv = __sys.argv.copy()
+    if "--with-injection" in argv:
+        argv.pop(argv.index("--with-injection"))
+        from .injection import run_with_injection
+        run_with_injection(argv[1], argv[2:])
+    else:
+        raise ValueError("Only --with-injection is a valid entrypoint")
diff --git a/medcat-den/src/medcat_den/addons/__init__.py b/medcat-den/src/medcat_den/addons/__init__.py
new file mode 100644
index 000000000..63ee986b0
--- /dev/null
+++ b/medcat-den/src/medcat_den/addons/__init__.py
@@ -0,0 +1,14 @@
+from importlib.metadata import entry_points
+import sys
+
+
+def _load_addons():
+    version = sys.version_info.major, sys.version_info.minor
+    if version >= (3, 10):
+        # for python 3.10 and above
+        eps = entry_points(group="medcat_den.addons")
+    else:
+        # for python 3.9
+        eps = entry_points().get("medcat_den.addons", [])
+    for ep in eps:
+        ep.load()  # this should import the addon and trigger registration
diff --git a/medcat-v1/medcat/datasets/__init__.py b/medcat-den/src/medcat_den/addons/addons.py
similarity index 100%
rename from medcat-v1/medcat/datasets/__init__.py
rename to medcat-den/src/medcat_den/addons/addons.py
diff --git a/medcat-den/src/medcat_den/backend.py b/medcat-den/src/medcat_den/backend.py
new file mode 100644
index 000000000..2230b9dff
--- /dev/null
+++ b/medcat-den/src/medcat_den/backend.py
@@ -0,0 +1,71 @@
+from typing import Type
+from enum import Enum
+
+
+class DenType(str, Enum):
+    LOCAL_USER = "local_user"
+    LOCAL_MACHINE = "local_machine"
+    MEDCATTERY = "medcattery"
+    # S3 = "s3"
+    # and so on
+
+    def is_local(self) -> bool:
+        return self in (DenType.LOCAL_USER, DenType.LOCAL_MACHINE)
+
+
+_remote_den_map: dict[DenType, Type] = {}
+
+
+def register_remote_den(den_type: DenType, den_cls: Type) -> None:
+    """Register a remote den class for a given den type.
+
+    Args:
+        den_type (DenType): The den type.
+        den_cls (Type): The den class.
+
+    Raises:
+        ValueError: If the den type is not remote.
+        ValueError: If the den type is already registered.
+    """
+    if den_type.is_local():
+        raise ValueError("Can only register remote dens")
+    if den_type in _remote_den_map:
+        raise ValueError(f"Den type {den_type} already registered")
+    _remote_den_map[den_type] = den_cls
+
+
+def has_registered_remote_den(den_type: DenType) -> bool:
+    """Check if a remote den class is registered for a given den type.
+
+    Args:
+        den_type (DenType): The den type.
+
+    Raises:
+        ValueError: If the den type is not remote.
+
+    Returns:
+        bool: True if the den type is registered, False otherwise.
+    """
+    if den_type.is_local():
+        raise ValueError("Can only check remote dens")
+    return den_type in _remote_den_map
+
+
+def get_registered_remote_den(den_type: DenType) -> Type:
+    """Get the registered den class for a given den type.
+
+    Args:
+        den_type (DenType): The den type.
+
+    Raises:
+        ValueError: If the den type is not remote.
+        ValueError: If the den type is not registered.
+
+    Returns:
+        Type: The den class.
+    """
+    if den_type.is_local():
+        raise ValueError("Can only get remote dens")
+    if den_type not in _remote_den_map:
+        raise ValueError(f"Den type {den_type} not registered")
+    return _remote_den_map[den_type]
diff --git a/medcat-den/src/medcat_den/base.py b/medcat-den/src/medcat_den/base.py
new file mode 100644
index 000000000..b864cd35b
--- /dev/null
+++ b/medcat-den/src/medcat_den/base.py
@@ -0,0 +1,28 @@
+from typing import Optional
+
+from pydantic import BaseModel
+
+
+from medcat.cat import CAT
+from medcat.data.model_card import ModelCard
+
+
+class ModelInfo(BaseModel):
+    model_id: str
+    model_card: Optional[ModelCard]
+    base_model: Optional['ModelInfo']
+
+    @classmethod
+    def from_model_pack(cls, cat: CAT) -> 'ModelInfo':
+        mc = cat.get_model_card(True)
+        hist = mc['History (from least to most recent)']
+        model_hash = mc["Model ID"]
+        bm = (
+            ModelInfo(model_id=hist[0], model_card=None, base_model=None)
+            if (len(hist) > 0 and hist[0] != model_hash) else None
+        )
+        return cls(
+            model_id=mc["Model ID"],
+            model_card=mc,
+            base_model=bm,
+        )
diff --git a/medcat-den/src/medcat_den/cache/__init__.py b/medcat-den/src/medcat_den/cache/__init__.py
new file mode 100644
index 000000000..70c1ce197
--- /dev/null
+++ b/medcat-den/src/medcat_den/cache/__init__.py
@@ -0,0 +1,4 @@
+from .local_cache import LocalCache
+
+
+__all__ = ["LocalCache"]
diff --git a/medcat-den/src/medcat_den/cache/local_cache.py b/medcat-den/src/medcat_den/cache/local_cache.py
new file mode 100644
index 000000000..44e4558bf
--- /dev/null
+++ b/medcat-den/src/medcat_den/cache/local_cache.py
@@ -0,0 +1,148 @@
+from typing import Union, cast
+
+import os
+from io import BytesIO
+
+import shutil
+
+from diskcache import Cache
+
+from medcat_den.den import Den
+from medcat_den.base import ModelInfo
+from medcat_den.wrappers import CATWrapper
+from medcat_den.config import LocalCacheConfig
+
+
+DEFAULT_EXPIRATION_TIME = 10 * 24 * 60 * 60  # 10 days
+DEFAULT_MAX_SIZE = 100 * 2**30  # 100 GB total
+DEFAULT_EVICTION_POLICY = 'least-recently-used'
+
+
+class LocalCache:
+
+    def __init__(self, cnf: LocalCacheConfig,) -> None:
+        self._cnf = cnf
+        self._cache_path = self._cnf.path
+        self.cache = Cache(self._cnf.path,
+                           size_limit=self._cnf.max_size,
+                           eviction_policy=self._cnf.eviction_policy)
+
+    def get(self, key: str) -> str:
+        """Fetch file path from cache.
+
+        Args:
+            key (str): File key.
+
+        Raises:
+            ValueError: If key not found or expired.
+
+        Returns:
+            str: The file path.
+        """
+        if key not in self.cache:
+            raise ValueError(f"The key {key} is not in the cache")
+        # update expiry upon access
+        self.cache.touch(key, expire=self._cnf.expiration_time)
+        with self.cache.get(key, read=True) as fh:
+            if fh is not None:
+                return fh.name
+        raise ValueError(f"The key {key} is not in the cache or has expired")
+
+    def insert(self, key: str, file_path: str) -> None:
+        """Insert a file into the cache.
+
+        Args:
+            key (str): The key to use.
+            file_path (str): The path to the file to cache.
+        """
+        with open(file_path, "rb") as fh:
+            self.cache.set(key, fh, read=True,
+                           expire=self._cnf.expiration_time)
+
+    def insert_raw(self, key: str, data: bytes) -> None:
+        """Insert raw bytes into the cache.
+
+        Args:
+            key (str): The key to use.
+            data (bytes): The raw bytes to cache.
+        """
+        with BytesIO(data) as fh:
+            self.cache.set(key, fh, read=True,
+                           expire=self._cnf.expiration_time)
+
+    def delete(self, key: str) -> None:
+        """Delete a key from the cache.
+
+        Args:
+            key (str): The key to delete.
+        """
+        if key in self.cache:
+            file_path = self[key]
+            del self.cache[key]
+            folder_path = file_path.removesuffix(".zip")
+            if os.path.exists(folder_path):
+                shutil.rmtree(folder_path)
+        # NOTE: if there's an expiry, then the folder will NOT be deleted
+
+    def __getitem__(self, key: str) -> str:
+        return self.get(key)
+
+    def __contains__(self, key: str) -> bool:
+        return key in self.cache
+
+    def __setitem__(self, key: str, file: Union[str, bytes]) -> None:
+        if isinstance(file, str):
+            self.insert(key, file)
+        else:
+            self.insert_raw(key, file)
+
+    def __delitem__(self, key: str) -> None:
+        self.delete(key)
+
+    def add_to_den(self, den: Den) -> None:
+        """Add this local cache to the given den.
+
+        Args:
+            den (Den): The den to add the cache to.
+        """
+        # wrap push_model to add to cache
+        orig_push = den._push_model_from_file
+
+        def push_wrapper(cat_path: str, description: str) -> None:
+            # do remote push frist
+            orig_push(cat_path, description)
+            # and then cache it locally
+            base_name = os.path.basename(cat_path)
+            model_hash = base_name.removesuffix(".zip")
+            self[model_hash] = cat_path
+
+        den._push_model_from_file = push_wrapper  # type: ignore
+        # wrap fetch_model to check cache first
+        orig_fetch = den.fetch_model
+
+        def fetch_wrapper(model_info: ModelInfo) -> CATWrapper:
+            model_hash = model_info.model_id
+            if model_hash in self:
+                model_path = self[model_hash]
+                return cast(CATWrapper, CATWrapper.load_model_pack(
+                    model_path, model_info=model_info))
+            cat = orig_fetch(model_info)
+            # cache it
+            model_path = f"{model_hash}.zip"
+            self[model_hash] = model_path
+            return cat
+
+        den.fetch_model = fetch_wrapper  # type: ignore
+        den.cache = self  # type: ignore
+
+
+def has_local_cache(den: Den) -> bool:
+    """Check if the given den has a local cache.
+
+    Args:
+        den (Den): The den to check.
+
+    Returns:
+        bool: True if it has a local cache, False otherwise.
+    """
+    return hasattr(den, 'cache') and isinstance(den.cache, LocalCache)
diff --git a/medcat-den/src/medcat_den/config.py b/medcat-den/src/medcat_den/config.py
new file mode 100644
index 000000000..b1d7ebc64
--- /dev/null
+++ b/medcat-den/src/medcat_den/config.py
@@ -0,0 +1,28 @@
+from typing import Union
+from pathlib import Path
+
+from pydantic import BaseModel
+
+from medcat_den.backend import DenType
+
+
+class DenConfig(BaseModel):
+    type: DenType
+
+
+class LocalDenConfig(DenConfig):
+    location: Union[str, Path]
+
+
+class RemoteDenConfig(DenConfig):
+    host: str
+    credentials: dict
+    allow_local_fine_tune: bool
+    allow_push_fine_tuned: bool
+
+
+class LocalCacheConfig(BaseModel):
+    path: Union[str, Path]
+    expiration_time: int
+    max_size: int
+    eviction_policy: str
diff --git a/medcat-den/src/medcat_den/den.py b/medcat-den/src/medcat_den/den.py
new file mode 100644
index 000000000..eb91331c3
--- /dev/null
+++ b/medcat-den/src/medcat_den/den.py
@@ -0,0 +1,220 @@
+from typing import Protocol, Optional, runtime_checkable, Union
+
+from medcat.cat import CAT
+from medcat.data.mctexport import MedCATTrainerExport
+
+from medcat_den.base import ModelInfo
+from medcat_den.wrappers import CATWrapper
+from medcat_den.backend import DenType
+
+
+@runtime_checkable
+class Den(Protocol):
+
+    @property
+    def den_type(self) -> DenType:
+        """The type of the den.
+
+        Returns:
+            DenType: The den type.
+        """
+        pass
+
+    def list_available_models(self) -> list[ModelInfo]:
+        """List all available models.
+
+        Returns:
+            list[ModelInfo]: The list of models.
+        """
+        pass
+
+    def list_available_base_models(self) -> list[ModelInfo]:
+        """List all available base models.
+
+        Returns:
+            list[ModelInfo]: The available base models.
+        """
+        pass
+
+    def list_available_derivative_models(self, model: ModelInfo
+                                         ) -> list[ModelInfo]:
+        """List the available derivative models for the given model info.
+
+        Args:
+            model (ModelInof): The base model.
+
+        Returns:
+            list[ModelInfo]: The available deriative models.
+        """
+
+    def fetch_model(self, model_info: ModelInfo) -> CATWrapper:
+        """Fetch the specified model.
+
+        Args:
+            model_info (ModelInfo): The model info.
+
+        Returns:
+            CAT: The model pack.
+        """
+        pass
+
+    def push_model(self, cat: CAT, description: str) -> None:
+        """Push the model pack back to the remote.
+
+        This may be able to take advantage of the initial model info
+        of the model to determine some of the details.
+        If that is not possible, it will be treated as a brand new base
+        model.
+
+        Args:
+            cat (CAT): The model pack.
+            description (str): The description of the changes.
+
+        Raises:
+            DuplicateModelException: If the model by this ID already exists.
+        """
+        pass
+
+    def _push_model_from_file(self, file_path: str, description: str) -> None:
+        """Internal method to push a model from a file.
+
+        Normally, if you're pushhing to a remote den, the file needs to
+        be saved to disk first (to serialise and archive it).
+
+        So this method should be the one that is called after saving the
+        model to disk and it should push the model to the remote storage.
+
+        Args:
+            file_path (str): The file path.
+            description (str): The description of the changes.
+        """
+
+    def delete_model(self, model_info: ModelInfo,
+                     allow_delete_base_models: bool = False) -> None:
+        """Delete the specified model from the den.
+
+        Unless `allow_delete_base_models=True` is provided,
+        base models will noe be allowed to deleted.
+
+        Args:
+            model_info (ModelInfo): The model info for the model to delete.
+            allow_delete_base_models (bool): Whether to allow base models to
+                be deleted. Defaults to False.
+        """
+        pass
+
+    def finetune_model(self, model_info: ModelInfo,
+                       data: Union[list[str], MedCATTrainerExport]
+                       ) -> ModelInfo:
+        """Finetune the model on the remote den.
+
+        This is an optional API that is (generally) only available
+        for remote dens. The idea is that the data is sent to the remote
+        den and the finetuning is done on the remote.
+
+        If raw data is given, unless already present remotely, it will be
+        uploaded to the remote den.
+
+        Args:
+            model_info (ModelInfo): The model info
+            data (Union[list[str], MedCATTrainerExport]): The list of project
+                ids (already on remote) or the trainer export to train on.
+
+        Returns:
+            ModelInfo: The resulting model.
+
+        Raises:
+            UnsupportedAPIException: If the den does not support this API.
+        """
+
+    def evaluate_model(self, model_info: ModelInfo,
+                       data: Union[list[str], MedCATTrainerExport]) -> dict:
+        """Evaluate model on remote den.
+
+        This is an optional API that is (generally) only available
+        for remote dens. The idea is that the data is sent to the remote
+        den and the metrics are gathered on the remote.
+
+        If raw data is given, unless already present remotely, it will be
+        uploaded to the remote den.
+
+        Args:
+            model_info (ModelInfo): The model info.
+            data (Union[list[str], MedCATTrainerExport]): The list of project
+                ids (already on remote) or the trainer export to train on.
+
+        Returns:
+            dict: The resulting metrics.
+        """
+        pass
+
+
+class UnsupportedAPIException(ValueError):
+    pass
+
+
+def get_default_den(
+        type_: Optional[DenType] = None,
+        location: Optional[str] = None,
+        host: Optional[str] = None,
+        credentials: Optional[dict] = None,
+        local_cache_path: Optional[str] = None,
+        expiration_time: Optional[int] = None,
+        max_size: Optional[int] = None,
+        eviction_policy: Optional[str] = None,
+        remote_allow_local_fine_tune: Optional[str] = None,
+        remote_allow_push_fine_tuned: Optional[str] = None,
+        ) -> Den:
+    """Get the default den.
+
+    This will resolve for the default den (either local or remote)
+    based on both the explicit input as well as the environmental variables.
+    The explicit input will override any environmental variable values.
+
+    Some parameters may be ignored based on the den type (e.g location is not
+    used for a remote den and host / credentials are not used for a local den).
+
+    Args:
+        type_ (Optional[DenType]): The den type. Defaults to LOCAL_USER.
+        location (Optional[str]): The den location (for local). Defaults to
+            OS-normalised user or site-specific data dir as required.
+        host (Optional[str]): The host (for remote). Defaults to None.
+        credentials (Optional[dict]): The credentials (for remote).
+            Defaults to None.
+        local_cache_path (Optional[str]): The path to use for local caching of
+            remote dens. Defaults to None.
+        expiration_time (Optional[int]): The expiration time for local cache.
+        max_size (Optional[int]): The max size (in bytes) for local cache.
+        eviction_policy (Optional[str]): The expiration policy for local cache.
+            Policies avialable: LRU (`least-recently-used`),
+                LRS (`least-recently-stored`), LFU (`least-frequently-used`),
+                and `none` (disables evictions).
+        remote_allow_local_fine_tune (Optional[str]): Whether to allow local
+            fine tuning of remote models.
+        remote_allow_push_fine_tuned (Optional[str]): Whether to allow pushing
+            of locally fine-tuned models to the remote
+
+    Returns:
+        Den: The resolved den.
+    """
+    # NOTE: doing dynamic import to avoid circular imports
+    from medcat_den.resolver import resolve
+    return resolve(type_, location, host, credentials, local_cache_path,
+                   expiration_time, max_size, eviction_policy,
+                   remote_allow_local_fine_tune, remote_allow_push_fine_tuned)
+
+
+def get_default_user_local_den(
+        location: Optional[str] = None) -> Den:
+    return get_default_den(DenType.LOCAL_USER, location=location)
+
+
+def get_default_machine_local_den(
+        location: Optional[str] = None) -> Den:
+    return get_default_den(DenType.LOCAL_MACHINE, location=location)
+
+
+class DuplicateModelException(ValueError):
+
+    def __init__(self, *args):
+        super().__init__(*args)
diff --git a/medcat-den/src/medcat_den/den_impl/__init__.py b/medcat-den/src/medcat_den/den_impl/__init__.py
new file mode 100644
index 000000000..fc296d516
--- /dev/null
+++ b/medcat-den/src/medcat_den/den_impl/__init__.py
@@ -0,0 +1,3 @@
+from .file_den import LocalFileDen
+
+__all__ = ['LocalFileDen']
diff --git a/medcat-den/src/medcat_den/den_impl/file_den.py b/medcat-den/src/medcat_den/den_impl/file_den.py
new file mode 100644
index 000000000..109ebe6bc
--- /dev/null
+++ b/medcat-den/src/medcat_den/den_impl/file_den.py
@@ -0,0 +1,239 @@
+from typing import Optional, cast, Any, Union
+
+import json
+from datetime import datetime
+import os
+import sqlite3
+import shutil
+
+from medcat.cat import CAT
+from medcat.data.mctexport import MedCATTrainerExport
+
+from medcat_den.den import (
+    Den, DuplicateModelException, UnsupportedAPIException)
+from medcat_den.backend import DenType
+from medcat_den.base import ModelInfo
+from medcat_den.wrappers import CATWrapper
+from medcat_den.config import LocalDenConfig
+
+
+class SqliteModel:
+    registry_name = 'registry.db'
+
+    def __init__(self, parent_folder: str):
+        self.db_path = os.path.join(parent_folder, self.registry_name)
+        self._conn = sqlite3.connect(self.db_path)
+        self._init_tables()
+
+    def _init_tables(self):
+        cur = self._conn.cursor()
+        cur.execute("""CREATE TABLE IF NOT EXISTS
+                        models(
+                        id TEXT PRIMARY KEY,
+                        root_id TEXT REFERENCES models(id),
+                        model_card JSON NOT NULL,
+                        created_at TIMESTAMP
+                        )
+                    """)
+        self._conn.commit()
+
+    def insert_model(self, model_info: ModelInfo) -> None:
+        """Insert a new model entry."""
+        cur = self._conn.cursor()
+        cur.execute(
+            """
+            INSERT INTO models (id, root_id, model_card, created_at)
+            VALUES (?, ?, ?, ?)
+            """,
+            (
+                model_info.model_id,
+                model_info.base_model.model_id if
+                model_info.base_model else None,
+                json.dumps(model_info.model_card),
+                datetime.now().isoformat(),
+            ),
+        )
+        self._conn.commit()
+
+    def get_model(self, model_id: str) -> Optional[ModelInfo]:
+        """Fetch a model by ID."""
+        cur = self._conn.cursor()
+        cur.execute("""SELECT id, root_id, model_card, created_at
+                        FROM models WHERE id=?""", (model_id,))
+        row = cur.fetchone()
+        if not row:
+            return None
+
+        return ModelInfo(
+            model_id=row[0],
+            model_card=json.loads(row[2]),
+            base_model=ModelInfo(model_id=row[1], model_card=None,
+                                 base_model=None) if row[1] else None,
+        )
+
+    def list_models(self) -> list[ModelInfo]:
+        """List all models in registry."""
+        cur = self._conn.cursor()
+        cur.execute("SELECT id, root_id, model_card, created_at FROM models")
+        rows = cur.fetchall()
+        return [
+            ModelInfo(
+                model_id=row[0],
+                model_card=json.loads(row[2]),
+                base_model=ModelInfo(model_id=row[1], model_card=None,
+                                     base_model=None) if row[1] else None,
+            )
+            for row in rows
+        ]
+
+    def list_derivatives(self, root_id: str) -> list[ModelInfo]:
+        """List all models derived from a given base model."""
+        cur = self._conn.cursor()
+        cur.execute("""SELECT id, model_card, created_at
+                        FROM models WHERE root_id=?""", (root_id,))
+        rows = cur.fetchall()
+        return [
+            ModelInfo(
+                model_id=row[0],
+                base_model=ModelInfo(model_id=root_id, model_card=None,
+                                     base_model=None),
+                model_card=json.loads(row[1]),
+            )
+            for row in rows
+        ]
+
+    def delete_model(self, model_id: str) -> None:
+        """Delete a model from the database.
+
+        Args:
+            model_id (str): The model ID.
+        """
+        cur = self._conn.cursor()
+        cur.execute("""
+                    DELETE FROM models WHERE id=?
+                    """, (model_id,))
+        self._conn.commit()
+
+
+class LocalFileDen(Den):
+    folder_name = '.medcat-den'
+    models_folder_name = 'models'
+
+    def __init__(self, cnf: LocalDenConfig):
+        self._cnf = cnf
+        if not os.path.exists(cnf.location):
+            os.makedirs(cnf.location, exist_ok=True)
+        self._folder_path = os.path.join(cnf.location, self.folder_name)
+        if not os.path.exists(self._folder_path):
+            os.mkdir(self._folder_path)
+        self._sqlite = SqliteModel(self._folder_path)
+        self._models_folder = os.path.join(self._folder_path,
+                                           self.models_folder_name)
+        if not os.path.exists(self._models_folder):
+            os.mkdir(self._models_folder)
+        self._den_type = DenType.LOCAL_USER
+
+    @property
+    def den_type(self) -> DenType:
+        return self._den_type
+
+    def list_available_models(self) -> list[ModelInfo]:
+        return self._sqlite.list_models()
+
+    def list_available_base_models(self) -> list[ModelInfo]:
+        return [model for model in self.list_available_models()
+                # base models don't have a base model defined
+                if model.base_model is None]
+
+    def list_available_derivative_models(self, model: ModelInfo
+                                         ) -> list[ModelInfo]:
+        return self._sqlite.list_derivatives(model.model_id)
+
+    def _get_model_zip_name(self, model_hash: str) -> str:
+        return f"{model_hash}.zip"
+
+    def _get_model_zip_path(self, model_info: ModelInfo) -> str:
+        return os.path.join(self._models_folder,
+                            self._get_model_zip_name(model_info.model_id))
+
+    def fetch_model(self, model_info: ModelInfo) -> CATWrapper:
+        db_info = self._sqlite.get_model(model_id=model_info.model_id)
+        if db_info is None:
+            raise ValueError(f"The model info {model_info} does not "
+                             "correspond to a model that exists the back end")
+        model_path = self._get_model_zip_path(model_info)
+        return cast(
+            CATWrapper,
+            CATWrapper.load_model_pack(model_path, model_info=model_info,
+                                       den_cnf=self._cnf))
+
+    def push_model(self, cat: CAT, description: str) -> None:
+        if isinstance(cat, CATWrapper):
+            model_info = cat._model_info
+        else:
+            model_info = ModelInfo.from_model_pack(cat)
+        # calc new hash
+        new_hash = cat._get_hash()
+        if (new_hash == model_info.model_id and
+                self._sqlite.get_model(new_hash)):
+            # NOTE: if there's no model in databae, treat as new one
+            raise DuplicateModelException(
+                "Duplicate model: ", model_info)
+        zip_name = self._get_model_zip_name(new_hash)
+        kwargs: dict[Any, Any] = {}
+        if isinstance(cat, CATWrapper):
+            kwargs["force_save_local"] = True
+        full_model_pack_path = cat.save_model_pack(
+            self._models_folder,
+            pack_name=zip_name.removesuffix(".zip"),
+            add_hash_to_pack_name=False,
+            change_description=description,
+            **kwargs)
+        # NOTE: the updated one should have the updated history and the like
+        updated_mi = ModelInfo.from_model_pack(cat)
+        if isinstance(cat, CATWrapper):
+            cat._model_info = updated_mi
+        self._sqlite.insert_model(updated_mi)
+        if not full_model_pack_path.endswith(".zip"):
+            # NOTE: it should not actually end with .zip coming
+            #       out of the above unless only archive is requested
+            full_model_pack_path += ".zip"
+        # NOTE: only calling the below so that any overrides can use it
+        #       if needed - e.g for local cache (i.e in testing -
+        #       otherwise it doesn't make sense to use local cache)
+        self._push_model_from_file(full_model_pack_path, description)
+
+    def _push_model_from_file(self, file_path: str, description: str) -> None:
+        # NOTE: for local file den this is not needed, but will still be called
+        pass
+
+    def delete_model(self, model_info: ModelInfo,
+                     allow_delete_base_models: bool = False):
+        if not model_info.model_card:
+            raise ValueError(
+                "Need to specify a model info with a model card for deletion")
+        if (len(model_info.model_card[
+                "History (from least to most recent)"]) <= 1
+                and not allow_delete_base_models):
+            raise ValueError("Unable to delete base model. Pass "
+                             "allow_delete_base_models=True to force.")
+        self._sqlite.delete_model(model_info.model_id)
+        zip_path = self._get_model_zip_path(model_info)
+        os.remove(zip_path)
+        folder_path = zip_path.removesuffix(".zip")
+        if os.path.exists(folder_path):
+            shutil.rmtree(folder_path)
+
+    def finetune_model(self, model_info: ModelInfo,
+                       data: Union[list[str], MedCATTrainerExport]):
+        raise UnsupportedAPIException(
+            "Local den does not support finetuning on the den. "
+            "Use a remote den instead or perform training locally."
+        )
+
+    def evaluate_model(self, model_info: ModelInfo,
+                       data: Union[list[str], MedCATTrainerExport]) -> dict:
+        raise UnsupportedAPIException(
+            "Local den does not support evaluation on the den. "
+            "Use a remote den instead or perform evaluation locally."
+        )
diff --git a/medcat-den/src/medcat_den/injection/__init__.py b/medcat-den/src/medcat_den/injection/__init__.py
new file mode 100644
index 000000000..7746c389c
--- /dev/null
+++ b/medcat-den/src/medcat_den/injection/__init__.py
@@ -0,0 +1,7 @@
+from .medcat_injector import (
+    inject_into_medcat, uninject_into_medcat, injected_den)
+from .run_injected import run_with_injection
+
+
+__all__ = ["inject_into_medcat", "uninject_into_medcat", "injected_den",
+           "run_with_injection"]
diff --git a/medcat-den/src/medcat_den/injection/medcat_injector.py b/medcat-den/src/medcat_den/injection/medcat_injector.py
new file mode 100644
index 000000000..71f2e89b5
--- /dev/null
+++ b/medcat-den/src/medcat_den/injection/medcat_injector.py
@@ -0,0 +1,203 @@
+from typing import Callable, Union, Optional
+import logging
+from functools import partial
+from contextlib import contextmanager
+import inspect
+
+from medcat.cat import CAT
+from medcat.utils.defaults import DEFAULT_PACK_NAME
+
+from medcat_den.den import get_default_den, Den
+from medcat_den.base import ModelInfo
+
+
+_ORIG_CAT_LOAD_MODEL_PACK = CAT.load_model_pack
+_ORIG_CAT_SAVE_MODEL_PACK = CAT.save_model_pack
+
+
+logger = logging.getLogger(__name__)
+
+
+def _is_already_in_stack(module_name: Optional[str] = None):
+    # Start from 2nd alement. The first 2 are this method and the calling
+    # method. Because otherwise the calling method is always in scope
+    stack = inspect.stack()
+    # get calling method name from stack
+    target_func_name: str = stack[1].function
+    for frame in stack[2:]:
+        if frame.function == target_func_name:
+            if (module_name is None or
+                    frame.frame.f_globals.get("__name__") == module_name):
+                return True
+    return False
+
+
+def injected_load_model_pack(model_pack_name: str,
+                             *args,
+                             prefix: str,
+                             den: Den,
+                             model_name_mapper: Optional[Union[
+                                 Callable[[str], str], dict[str, str]]] = None,
+                             **kwargs,
+                             ) -> CAT:
+    # check stack - to avoid infinite recursion
+    if _is_already_in_stack(__name__):
+        return _ORIG_CAT_LOAD_MODEL_PACK(model_pack_name, *args, **kwargs)
+    if prefix and not model_pack_name.startswith(prefix):
+        # pass back to original method
+        logger.info("Loading model directoy off of disk: %s", model_pack_name)
+        return _ORIG_CAT_LOAD_MODEL_PACK(model_pack_name, *args, **kwargs)
+    if prefix:
+        model_pack_name = model_pack_name.removeprefix(prefix)
+    if model_name_mapper:
+        if isinstance(model_name_mapper, dict):
+            model_id = model_name_mapper.get(model_pack_name, model_pack_name)
+        else:
+            model_id = model_name_mapper(model_pack_name)
+    else:
+        model_id = model_pack_name
+    logger.info("Loading model by ID '%s' (named '%s')",
+                model_id, model_pack_name)
+    return den.fetch_model(ModelInfo(
+        model_id=model_id, model_card=None, base_model=None))
+
+
+def is_injected_for_save() -> bool:
+    """Checks whether medcat.cat.CAT has been injected for saving.
+
+    I.e if the injection is in place, allow saving through the
+    `CAT.save_model_pack` method since that'll just save to den anyway.
+
+    Returns:
+        bool: Whether save-based injection is in play.
+    """
+    return CAT.save_model_pack is not _ORIG_CAT_SAVE_MODEL_PACK
+
+
+def injected_save_model_pack(
+                             prefix: str,
+                             den: Den,
+                             ):
+    def _wrapper_method(cat: CAT,
+                        target_folder: str,
+                        pack_name: str = DEFAULT_PACK_NAME,
+                        *args, **kwargs):
+        if _is_already_in_stack(__name__):
+            return _ORIG_CAT_SAVE_MODEL_PACK(cat, target_folder, pack_name,
+                                             *args, **kwargs)
+        if pack_name is DEFAULT_PACK_NAME:
+            # use folder if no pack name passed (generally normal)
+            pack_name = target_folder
+        if prefix and not pack_name.startswith(prefix):
+            # pass back to original method
+            logger.info("Saving model directly to disk: %s/%s",
+                        target_folder, pack_name)
+            return _ORIG_CAT_SAVE_MODEL_PACK(cat, target_folder, pack_name,
+                                             *args, **kwargs)
+        description: str
+        if "change_description" in kwargs:
+            description = kwargs["change_description"]
+        elif args and isinstance(args[-1], str):
+            # use last positional argument
+            description = args[-1]
+        elif pack_name and pack_name is not DEFAULT_PACK_NAME:
+            # use pack name (2nc argument) as description
+            description = pack_name
+        else:
+            # use target folder (first argument) as description
+            description = target_folder
+        logger.info("Pushing model %s: %s", type(cat), cat)
+        logger.info(" - with description: %s", repr(description))
+        den.push_model(cat, description=description)
+    return _wrapper_method
+
+
+def inject_into_medcat(
+        den_getter: Callable[[], Den] = get_default_den,
+        model_name_mapper: Optional[Union[
+            Callable[[str], str], dict[str, str]]] = None,
+        prefix: str = '',
+        inject_save: bool = False,
+        ):
+    """Inject MedCAT-Den into core library.
+
+    This method injects the MedCAT-den functionatlity into the core library.
+    That is, it allows the CAT.load_model_pack method to be used directly
+    in order to load a model pack from a centralised (potentially remote)
+    location.
+
+    While the default behaviour is to expect a model ID (the hash) when loading
+    a model pack, there is built in functionality for translating a model name
+    to a hash.
+
+    The default behaviour doesn't allow for any model pack loads off of disk.
+    However, if a non-empty `prefix` is passed, names without the prefix will
+    be loaded off of disk.
+
+    Args:
+        den_getter (Callable[[], Den]): The method to get the relevant den.
+            Defaults to `get_default_den`.
+        model_name_mapper (Optional[Union[Callable[[str], str],
+            dict[str, str]]): The model name mapper (if specified). Can either
+                be a dict based mapping or a function based one.
+                Defaults to None.
+        prefix (str): The prefix for the den-based models. If sepcified, names
+            without a prefix will be loaded off disk locally, otherwise no
+            local model loads will be allowed. Defaults to ''.
+        inject_save (bool): Whether to also inject saving of models. If
+            specified, models will also be pushed back to the den at save time
+            (i.e when calling CAT.save_model_pack). Defaults to False.
+    """
+    den = den_getter()
+    CAT.load_model_pack = partial(  # type: ignore
+        injected_load_model_pack, den=den,
+        model_name_mapper=model_name_mapper,
+        prefix=prefix)
+    if inject_save:
+        CAT.save_model_pack = (  # type: ignore
+            injected_save_model_pack(
+                den=den,
+                prefix=prefix))
+
+
+def uninject_into_medcat():
+    """Undo the injection into MedCAT."""
+    logger.info("Undoing injection")
+    CAT.load_model_pack = _ORIG_CAT_LOAD_MODEL_PACK
+    CAT.save_model_pack = _ORIG_CAT_SAVE_MODEL_PACK
+
+
+@contextmanager
+def injected_den(
+        den_getter: Callable[[], Den] = get_default_den,
+        model_name_mapper: Optional[Union[
+            Callable[[str], str], dict[str, str]]] = None,
+        prefix: str = '',
+        inject_save: bool = False,
+        ):
+    """A context manager for injecting into MedCAT.
+
+    This allows the injection to be active temporarily.
+    See `inject_int_medcat` for all the details.
+
+    Args:
+        den_getter (Callable[[], Den]): The method to get the relevant den.
+            Defaults to `get_default_den`.
+        model_name_mapper (Optional[Union[Callable[[str], str],
+            dict[str, str]]): The model name mapper (if specified). Can either
+                be a dict based mapping or a function based one.
+                Defaults to None.
+        prefix (str): The prefix for the den-based models. If sepcified, names
+            without a prefix will be loaded off disk locally, otherwise no
+            local model loads will be allowed. Defaults to ''.
+        inject_save (bool): Whether to also inject saving of models. If
+            specified, models will also be pushed back to the den at save time
+            (i.e when calling CAT.save_model_pack). Defaults to False.
+    """
+    inject_into_medcat(den_getter=den_getter,
+                       model_name_mapper=model_name_mapper,
+                       prefix=prefix, inject_save=inject_save)
+    try:
+        yield
+    finally:
+        uninject_into_medcat()
diff --git a/medcat-den/src/medcat_den/injection/run_injected.py b/medcat-den/src/medcat_den/injection/run_injected.py
new file mode 100644
index 000000000..b96538acd
--- /dev/null
+++ b/medcat-den/src/medcat_den/injection/run_injected.py
@@ -0,0 +1,37 @@
+import sys
+import runpy
+import code
+
+from medcat_den.injection import injected_den
+
+
+def _run_code(target: str, args: list[str]):
+    if target.endswith(".py"):
+        # Run the target script (like python target.py)
+        sys.argv = [target] + args
+        runpy.run_path(target, run_name="__main__")
+    elif target == "-c":
+        exec(" ".join(args))
+    elif target == "-m":
+        true_target, args = args[0], args[1:]
+        sys.argv = [true_target] + args
+        # Run the target module in __main__ context (like python -m target)
+        runpy.run_module(true_target, run_name="__main__")
+
+
+def _do_interactive(args: list[str]):
+    if args:
+        true_target, args = args[0], args[1:]
+        _run_code(true_target, args)
+    code.interact(local={"__name__": "__main__"})
+
+
+def run_with_injection(target: str, args: list[str]):
+    # Prepare sys.argv for the target module
+    with injected_den():
+        if target.endswith(".py") or target in ("-c", "-m"):
+            _run_code(target, args)
+        elif target == '-i':
+            _do_interactive(args)
+        else:
+            raise ValueError(f"Unknown target: {target} (args: {args})")
diff --git a/medcat-v1/medcat/datasets/medcat_annotations.py.lock b/medcat-den/src/medcat_den/py.typed
old mode 100755
new mode 100644
similarity index 100%
rename from medcat-v1/medcat/datasets/medcat_annotations.py.lock
rename to medcat-den/src/medcat_den/py.typed
diff --git a/medcat-den/src/medcat_den/resolver/__init__.py b/medcat-den/src/medcat_den/resolver/__init__.py
new file mode 100644
index 000000000..6e0c12374
--- /dev/null
+++ b/medcat-den/src/medcat_den/resolver/__init__.py
@@ -0,0 +1,3 @@
+from .resolver import resolve, resolve_from_config
+
+__all__ = ["resolve", "resolve_from_config"]
diff --git a/medcat-den/src/medcat_den/resolver/resolver.py b/medcat-den/src/medcat_den/resolver/resolver.py
new file mode 100644
index 000000000..fa97ff82b
--- /dev/null
+++ b/medcat-den/src/medcat_den/resolver/resolver.py
@@ -0,0 +1,201 @@
+from typing import Optional
+
+import os
+import logging
+import platform
+
+from platformdirs import user_data_dir, site_data_dir
+
+from medcat_den.backend import (
+    DenType, get_registered_remote_den, has_registered_remote_den)
+from medcat_den.den import Den
+
+from medcat_den.den_impl.file_den import LocalFileDen
+from medcat_den.cache import LocalCache
+from medcat_den.cache.local_cache import (
+    DEFAULT_EXPIRATION_TIME, DEFAULT_MAX_SIZE, DEFAULT_EVICTION_POLICY)
+from medcat_den.config import (
+    DenConfig, LocalDenConfig, RemoteDenConfig, LocalCacheConfig)
+from medcat_den.utils import cache_on_model
+
+
+logger = logging.getLogger(__name__)
+
+
+DEFAULT_USER_PATH = user_data_dir("medcat-den", "CogStack")
+DEFAULT_MACHINE_PATH = site_data_dir("medcat-den", "CogStack")
+IS_LINUX = platform.system() == "Linux"
+IS_MACOS = platform.system() == "Darwin"
+ALT_LOCATION_LINUX = "/var/tmp/medcat-den"
+
+# the evnironment variable names
+MEDCAT_DEN_TYPE = "MEDCAT_DEN_TYPE"
+MEDCAT_DEN_PATH = "MEDCAT_DEN_PATH"
+MEDCAT_DEN_REMOTE_HOST = "MEDCAT_DEN_REMOTE_HOST"
+MEDCAT_DEN_LOCAL_CACHE_PATH = "MEDCAT_DEN_LOCAL_CACHE_PATH"
+MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME = (
+    "MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME")
+MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE = "MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE"
+MEDCAT_DEN_LOCAL_CACHE_EVICTION_POLICY = (
+    "MEDCAT_DEN_LOCAL_CACHE_EVICTION_POLICY")
+MEDCAT_DEN_REMOTE_ALLOW_LOCAL_FINE_TUNE = (
+    "MEDCAT_DEN_REMOTE_ALLOW_LOCAL_FINE_TUNE")
+MEDCAT_DEN_REMOTE_ALLOW_PUSH_FINETUNED = (
+    "MEDCAT_DEN_REMOTE_ALLOW_PUSH_FINETUNED")
+
+ALLOW_OPTION_LOWERCASE = ("true", "yes", "1", "y")
+
+
+def is_writable(path: str, propgate: bool = True) -> bool:
+    if os.path.exists(path):
+        return os.access(path, os.W_OK)
+    elif not propgate:
+        return False
+    return is_writable(os.path.dirname(path), propgate=False)
+
+
+def _init_den_cnf(
+        type_: Optional[DenType] = None,
+        location: Optional[str] = None,
+        host: Optional[str] = None,
+        credentials: Optional[dict] = None,
+        remote_allow_local_fine_tune: Optional[str] = None,
+        remote_allow_push_fine_tuned: Optional[str] = None,
+        ) -> DenConfig:
+    # Priority: args > env > defaults
+    type_in = (
+        type_
+        or os.getenv(MEDCAT_DEN_TYPE)
+        or DenType.LOCAL_USER
+    )
+    type_final = DenType(type_in)
+    logger.info("Resolving Den of type: %s", type_final)
+
+    if type_final.is_local():
+        location_final = str(
+            location
+            or os.getenv(MEDCAT_DEN_PATH)
+            or (DEFAULT_MACHINE_PATH if type_final == DenType.LOCAL_MACHINE
+                else DEFAULT_USER_PATH)
+        )
+        if (location_final and (IS_LINUX or IS_MACOS) and
+                not is_writable(location_final) and
+                location_final == DEFAULT_MACHINE_PATH):
+            logger.warning(
+                "The machine-local location '%s' does not have write access. "
+                "Using an alternative of '%s' instead",
+                location, ALT_LOCATION_LINUX)
+            location_final = ALT_LOCATION_LINUX
+    den_cnf: DenConfig
+    if type_final.is_local():
+        den_cnf = LocalDenConfig(type=type_final,
+                                 location=location_final)
+    else:
+        host = host or os.getenv(MEDCAT_DEN_REMOTE_HOST)
+        if not host:
+            raise ValueError("Need to specify a host for remote den")
+        if not credentials:
+            raise ValueError("Need to specify credentials for remote den")
+        # NOTE: these will default to False when nothing is specified
+        #       because "None" is not in ALLOW_OPTION_LOWERCASE
+        allow_local_fine_tune = str(
+            remote_allow_local_fine_tune or
+            os.getenv(MEDCAT_DEN_REMOTE_ALLOW_LOCAL_FINE_TUNE)
+        ).lower() in ALLOW_OPTION_LOWERCASE
+        allow_push_fine_tuned = str(
+            remote_allow_push_fine_tuned or
+            os.getenv(MEDCAT_DEN_REMOTE_ALLOW_PUSH_FINETUNED)
+        ).lower() in ALLOW_OPTION_LOWERCASE
+        den_cnf = RemoteDenConfig(
+            type=type_final,
+            host=host,
+            credentials=credentials,
+            allow_local_fine_tune=allow_local_fine_tune,
+            allow_push_fine_tuned=allow_push_fine_tuned)
+    return den_cnf
+
+
+def resolve(
+    type_: Optional[DenType] = None,
+    location: Optional[str] = None,
+    host: Optional[str] = None,
+    credentials: Optional[dict] = None,
+    local_cache_path: Optional[str] = None,
+    expiration_time: Optional[int] = None,
+    max_size: Optional[int] = None,
+    eviction_policy: Optional[str] = None,
+    remote_allow_local_fine_tune: Optional[str] = None,
+    remote_allow_push_fine_tuned: Optional[str] = None,
+) -> Den:
+    den_cnf = _init_den_cnf(type_, location, host, credentials,
+                            remote_allow_local_fine_tune,
+                            remote_allow_push_fine_tuned)
+    den = resolve_from_config(den_cnf)
+    lc_cnf = _init_lc_cnf(
+        local_cache_path, expiration_time, max_size, eviction_policy)
+    if lc_cnf:
+        _add_local_cache(den, lc_cnf)
+    return den
+
+
+def _resolve_local(config: LocalDenConfig) -> LocalFileDen:
+    # NOTE: currently will be in a subfolder still, but I think it's fine
+    den = LocalFileDen(cnf=config)
+    if config.type == DenType.LOCAL_MACHINE:
+        # NOTE: this isn't currently done on the den init side
+        den._den_type = DenType.LOCAL_MACHINE
+    return den
+
+
+# NOTE: caching on model json
+#       so cannot use @lru_cache directly
+@cache_on_model
+def resolve_from_config(config: DenConfig) -> Den:
+    if isinstance(config, LocalDenConfig):
+        return _resolve_local(config)
+    elif has_registered_remote_den(config.type):
+        den_cls = get_registered_remote_den(config.type)
+        den = den_cls(cnf=config)
+        if not isinstance(den, Den):
+            raise ValueError(
+                f"Registered den class for {config.type} is not a Den. "
+                f"Got {type(den)}: {den}")
+        return den
+    else:
+        raise ValueError(
+            f"Unsupported Den type: {config.type}")
+
+
+def _init_lc_cnf(local_cache_path: Optional[str],
+                 expiration_time_in: Optional[int],
+                 max_size_in: Optional[int],
+                 eviction_policy_in: Optional[str]
+                 ) -> Optional[LocalCacheConfig]:
+    local_cache_path = (
+        local_cache_path
+        or os.getenv(MEDCAT_DEN_LOCAL_CACHE_PATH)
+    )
+    if not local_cache_path:
+        return None
+    expiration_time = expiration_time_in or int(
+        os.getenv(MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME,
+                  DEFAULT_EXPIRATION_TIME))
+    max_size = max_size_in or int(os.getenv(
+        MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE, DEFAULT_MAX_SIZE))
+    eviction_policy = str(eviction_policy_in or os.getenv(
+        MEDCAT_DEN_LOCAL_CACHE_EVICTION_POLICY,
+        DEFAULT_EVICTION_POLICY))
+    return LocalCacheConfig(
+            path=local_cache_path,
+            expiration_time=expiration_time,
+            max_size=max_size,
+            eviction_policy=eviction_policy,
+    )
+
+
+def _add_local_cache(den: Den, lc_cnf: LocalCacheConfig) -> None:
+    if not os.path.exists(lc_cnf.path):
+        os.makedirs(lc_cnf.path, exist_ok=True)
+    cache = LocalCache(lc_cnf)
+    logger.info("Using local cache at %s", lc_cnf.path)
+    cache.add_to_den(den)
diff --git a/medcat-den/src/medcat_den/utils.py b/medcat-den/src/medcat_den/utils.py
new file mode 100644
index 000000000..d14600c56
--- /dev/null
+++ b/medcat-den/src/medcat_den/utils.py
@@ -0,0 +1,78 @@
+from typing import Callable, Any, Type
+from functools import lru_cache, wraps
+
+from pydantic import BaseModel
+
+from medcat_den.base import ModelInfo
+from medcat_den.den import Den
+
+
+def summarise_den(den: Den) -> str:
+    """Get a summary of the given den.
+
+    Args:
+        den (Den): The den to summarise.
+
+    Returns:
+        str: The summary.
+    """
+    models = den.list_available_models()
+    num_models = len(models)
+    if num_models:
+        summary = summarise_models(models)
+    else:
+        summary = "No models available"
+    return (
+        f"Den ({den.den_type.name}) with {num_models} models:\n"
+        f"{summary}"
+    )
+
+
+def summarise_models(models: list[ModelInfo]) -> str:
+    """Get a summary of the given models.
+
+    Args:
+        models (list[ModelInfo]): The models to summarise.
+
+    Returns:
+        str: The summary.
+    """
+    lines: list[str] = []
+    for model in models:
+        mc = model.model_card
+        if mc is None:
+            model_summary = "No model card available"
+        else:
+            last_modified = mc['Last Modified On']
+            history = mc['History (from least to most recent)']
+            description = repr(mc['Description'])  # hide new lines
+            source_onts = mc['Source Ontology']
+            _meta_cats = mc['MetaCAT models']
+            if isinstance(_meta_cats, list):
+                meta_cats = _meta_cats
+            elif isinstance(_meta_cats, dict):
+                meta_cats = list(_meta_cats.keys())
+            else:
+                meta_cats = []
+            built_in = mc['MedCAT Version']
+            model_summary = (
+                f"{model.model_id} ({description})\n"
+                f" - History: {history}\n"
+                f" - Source ontologies: {source_onts}\n"
+                f" - Meta models: {meta_cats}\n"
+                f" - MedCAT Version: {built_in}\n"
+                f" - Last updated: {last_modified}"
+            )
+        lines.append(model_summary)
+    return "\n".join(lines)
+
+
+def cache_on_model(func: Callable) -> Any:
+    @lru_cache(maxsize=None)
+    def cached(json_key: str, type_: Type[BaseModel]):
+        return func(type_.model_validate_json(json_key))
+
+    @wraps(func)
+    def wrapper(model: BaseModel):
+        return cached(model.model_dump_json(), type(model))
+    return wrapper
diff --git a/medcat-den/src/medcat_den/wrappers.py b/medcat-den/src/medcat_den/wrappers.py
new file mode 100644
index 000000000..a46c9318a
--- /dev/null
+++ b/medcat-den/src/medcat_den/wrappers.py
@@ -0,0 +1,182 @@
+from typing import Union, Optional, cast
+
+from medcat.cat import CAT
+from medcat.utils.defaults import DEFAULT_PACK_NAME
+from medcat.storage.serialisers import AvailableSerialisers
+from medcat.trainer import Trainer
+from medcat.data.mctexport import MedCATTrainerExport
+
+from medcat_den.base import ModelInfo
+from medcat_den.config import DenConfig, RemoteDenConfig
+
+
+class CATWrapper(CAT):
+    """A wrapper for the medcat.cat.CAT class.
+
+    The idea is to not allow the model to be saved on disk.
+    This is because the class is supposed to used with a remote
+    back end for storage. And saving files on disk would be counter-
+    productive for this use case.
+
+    In order to save the model to disk, you need to explicitly pass
+    `force_save_local=True`. But that is generally not advised.
+    """
+
+    _model_info: ModelInfo
+    _den_cnf: DenConfig
+
+    def save_model_pack(
+            self, target_folder: str, pack_name: str = DEFAULT_PACK_NAME,
+            serialiser_type: Union[str, AvailableSerialisers] = 'dill',
+            make_archive: bool = True,
+            only_archive: bool = False,
+            add_hash_to_pack_name: bool = True,
+            change_description: Optional[str] = None,
+            force_save_local: bool = False,
+            ) -> str:
+        """Attempt save model pack.
+
+        This method will not allow you to save the model pack on disk
+        unless you specify `force_save_local=True`.
+
+        For most of the API see medcat.cat.CAT.
+
+        Args:
+            force_save_local (bool): Force saving model to disk.
+                Defaults to False.
+
+        Raises:
+            CannotSaveOnDiskException: If there's an attempt to save the
+                model on disk without an explicit `force_save_local=True`.
+
+        Returns:
+            str: The model pack.
+        """
+        # NOTE: dynamic import to avoid circular imports
+        from medcat_den.injection.medcat_injector import is_injected_for_save
+        # NOTE: if injected for save, allow saving on disk
+        if not force_save_local and not is_injected_for_save():
+            raise CannotSaveOnDiskException(
+                f"Cannot save model on disk: {CATWrapper.__doc__}")
+        if (is_injected_for_save() and isinstance(
+                self._den_cnf, RemoteDenConfig) and
+                not self._den_cnf.allow_push_fine_tuned):
+            # NOTE: should there be a check whether this is a base model?
+            raise CannotSendToRemoteException(
+                "Cannot save fine-tuned model onto a remote den."
+                "In order to make full use of the remote den capabilities, "
+                "use the den API to fine tune a model directly on the den. "
+                "See `Den.finetune_model` for details or set the config "
+                "option of `allow_push_fine_tuned` to True"
+            )
+        return super().save_model_pack(
+            target_folder, pack_name, serialiser_type, make_archive,
+            only_archive, add_hash_to_pack_name, change_description)
+
+    @property
+    def trainer(self) -> Trainer:
+        tr = super().trainer
+        return WrappedTrainer(self._den_cnf, tr)
+
+    @classmethod
+    def load_model_pack(cls, model_pack_path: str,
+                        config_dict: Optional[dict] = None,
+                        addon_config_dict: Optional[dict[str, dict]] = None,
+                        model_info: Optional[ModelInfo] = None,
+                        den_cnf: Optional[DenConfig] = None,
+                        ) -> 'CAT':
+        """Load the model pack from file.
+
+        This may also disallow model load from disk in certain secnarios.
+
+        Args:
+            model_pack_path (str): The model pack path.
+            config_dict (Optional[dict]): The model config to
+                merge in before initialising the pipe. Defaults to None.
+            addon_config_dict (Optional[dict]): The Addon-specific
+                config dict to merge in before pipe initialisation.
+                If specified, it needs to have an addon dict per name.
+                For instance, `{"meta_cat.Subject": {}}` would apply
+                to the specific MetaCAT.
+            model_inof (Optional[ModelInfo]): The base model info based on
+                which the model was originally fetched. Should not be
+                left None.
+            den_cnf: (Optional[DenConfig]): The config for the den being
+                used. Should not be left None.
+
+
+        Raises:
+            ValueError: If the saved data does not represent a model pack.
+            CannotWrapModel: If no model info is provided.
+
+        Returns:
+            CAT: The loaded model pack.
+        """
+        _cat = super().load_model_pack(
+            model_pack_path, config_dict, addon_config_dict)
+        cat = cast(CATWrapper, _cat)
+        if not isinstance(cat, CATWrapper):
+            cat.__class__ = CATWrapper
+        if model_info is None:
+            raise CannotWrapModel("Model info must be provided")
+        if den_cnf is None:
+            raise CannotWrapModel("den_cnf must be provided")
+        cat._model_info = model_info
+        cat._den_cnf = den_cnf
+        return cat
+
+
+class WrappedTrainer(Trainer):
+
+    def __init__(self, den_cnf: DenConfig, delegate: Trainer):
+        super().__init__(delegate.cdb, delegate.caller, delegate._pipeline)
+        self._den_cnf = den_cnf
+
+    def train_supervised_raw(
+            self, data: MedCATTrainerExport, reset_cui_count: bool = False,
+            nepochs: int = 1, print_stats: int = 0, use_filters: bool = False,
+            terminate_last: bool = False, use_overlaps: bool = False,
+            use_cui_doc_limit: bool = False, test_size: float = 0,
+            devalue_others: bool = False, use_groups: bool = False,
+            never_terminate: bool = False,
+            train_from_false_positives: bool = False,
+            extra_cui_filter: Optional[set[str]] = None,
+            disable_progress: bool = False, train_addons: bool = False):
+        if (isinstance(self._den_cnf, RemoteDenConfig) and
+                not self._den_cnf.allow_local_fine_tune):
+            raise NotAllowedToFineTuneLocallyException(
+                "You are not allowed to fine-tune remote models locally. "
+                "Please use the `Den.finetune_model` method directly to "
+                "fine tune on the remote den, or if required, set the "
+                "`allow_local_fine_tune` config value to `True`."
+            )
+        return super().train_supervised_raw(
+            data, reset_cui_count, nepochs, print_stats, use_filters,
+            terminate_last, use_overlaps, use_cui_doc_limit, test_size,
+            devalue_others, use_groups, never_terminate,
+            train_from_false_positives, extra_cui_filter, disable_progress,
+            train_addons)
+
+
+class CannotWrapModel(ValueError):
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+
+class CannotSaveOnDiskException(ValueError):
+
+    def __init__(self, *args):
+        super().__init__(*args)
+
+
+class CannotSendToRemoteException(ValueError):
+
+    def __call__(self, *args):
+        return super().__call__(*args)
+
+
+class NotAllowedToFineTuneLocallyException(ValueError):
+
+    def __call__(self, *args):
+        return super().__call__(*args)
diff --git a/medcat-den/tests/__init__.py b/medcat-den/tests/__init__.py
new file mode 100644
index 000000000..0922ad21a
--- /dev/null
+++ b/medcat-den/tests/__init__.py
@@ -0,0 +1,22 @@
+import os
+import atexit
+import shutil
+
+from medcat.cat import CAT
+
+
+MODEL_PATH = os.path.join(
+    os.path.dirname(__file__), "resources", "mct2_model_pack.zip")
+
+
+# unpack
+_model_folder = CAT.attempt_unpack(MODEL_PATH)
+
+
+def remove_model_folder():
+    if os.path.exists(_model_folder):
+        shutil.rmtree(_model_folder)
+
+
+# cleanup
+atexit.register(remove_model_folder)
diff --git a/medcat-v1/medcat/linking/__init__.py b/medcat-den/tests/injection/__init__.py
similarity index 100%
rename from medcat-v1/medcat/linking/__init__.py
rename to medcat-den/tests/injection/__init__.py
diff --git a/medcat-den/tests/injection/_test_runtime_injection.py b/medcat-den/tests/injection/_test_runtime_injection.py
new file mode 100644
index 000000000..ef80d7081
--- /dev/null
+++ b/medcat-den/tests/injection/_test_runtime_injection.py
@@ -0,0 +1,4 @@
+from medcat.cat import CAT
+
+
+print("METHOD:", CAT.load_model_pack)
diff --git a/medcat-den/tests/injection/test_medcat_injection.py b/medcat-den/tests/injection/test_medcat_injection.py
new file mode 100644
index 000000000..5ff7a844c
--- /dev/null
+++ b/medcat-den/tests/injection/test_medcat_injection.py
@@ -0,0 +1,205 @@
+from typing import Callable
+
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.config import Config
+from medcat.vocab import Vocab
+from medcat.utils.defaults import DEFAULT_PACK_NAME
+
+from medcat.preprocessors.cleaners import prepare_name
+
+from medcat_den.den import get_default_den, Den
+from medcat_den.backend import DenType
+
+from medcat_den.injection import medcat_injector
+
+import unittest.mock
+import pytest
+import numpy as np
+
+from .. import MODEL_PATH as EXAMPLE_MODEL_PATH
+
+
+_ORIG_LOAD_METHOD = CAT.load_model_pack
+
+
+def test_context_manager_works():
+    assert CAT.load_model_pack == _ORIG_LOAD_METHOD
+    with medcat_injector.injected_den():
+        assert CAT.load_model_pack != _ORIG_LOAD_METHOD
+    assert CAT.load_model_pack == _ORIG_LOAD_METHOD
+
+
+def test_calls_injected_method():
+    with unittest.mock.patch(
+            "medcat_den.injection.medcat_injector.injected_load_model_pack"
+            ) as mock_load_model_pack:
+        with medcat_injector.injected_den():
+            CAT.load_model_pack("SOME MODEL")
+            mock_load_model_pack.assert_called_once()
+
+
+@pytest.fixture
+def cat() -> CAT:
+    cnf = Config()
+    cdb = CDB(cnf)
+    return CAT(cdb)
+
+
+@pytest.fixture
+def den_with_model(tmp_path: str, cat: CAT) -> Den:
+    den = get_default_den(DenType.LOCAL_USER, location=tmp_path)
+    cat._versioning("Brand New Base Model")
+    model_hash = cat.config.meta.hash
+    den.push_model(cat, f"Empty Model w {model_hash}")
+    return den
+
+
+@pytest.fixture
+def den_with_nonempty_model(den_with_model: Den):
+    model = den_with_model.fetch_model(
+        den_with_model.list_available_base_models()[0])
+    model.vocab = Vocab()
+    model.vocab.add_word("acute", 4, np.array([1, 0, 0]))
+    model.vocab.add_word("chronic", 3, np.array([-1, 0, 0]))
+    model.vocab.add_word("does", 10, np.array([0, 1, 0]))
+    model.vocab.add_word("never", 8, np.array([0, 0, 1]))
+    new_stuff = [
+        ["C1", ["Kidney Failure", "renal failure"]],
+        ["C2", ["epileptic fit", "epilepsy", "fit"]],
+    ]
+    for cui, raw_names in new_stuff:
+        names = {}
+        for raw_name in raw_names:
+            prepare_name(
+                raw_name, model.pipe.tokenizer, names,
+                (model.config.general, model.config.preprocessing,
+                 model.config.cdb_maker))
+        model.cdb.add_names(cui, names)
+    den_with_model.push_model(model, "added some vocab stuff and concepts")
+    return den_with_model
+
+
+def test_can_load_model(den_with_model: Den):
+    model_hash = den_with_model.list_available_models()[0].model_id
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model):
+        cat = CAT.load_model_pack(model_hash)
+    assert cat.config.meta.hash == model_hash
+
+
+def test_no_prefix_cannot_load_from_disk(den_with_model: Den):
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model):
+        with pytest.raises(ValueError):
+            CAT.load_model_pack(EXAMPLE_MODEL_PATH)
+
+
+def test_can_load_model_with_mappings(den_with_model: Den):
+    model_name = "My Model - really good"
+    model_hash = den_with_model.list_available_models()[0].model_id
+    name_map = {model_name: model_hash}
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model,
+                                      model_name_mapper=name_map):
+        cat = CAT.load_model_pack(model_name)
+    assert cat.config.meta.hash == model_hash
+
+
+def test_with_prefix_can_load_from_disk(den_with_model: Den):
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model,
+                                      prefix="DEN:"):
+        cat = CAT.load_model_pack(EXAMPLE_MODEL_PATH)
+    assert isinstance(cat, CAT)
+
+
+def test_with_prefix_can_load_from_den(den_with_model: Den):
+    model_hash = den_with_model.list_available_base_models()[0].model_id
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model,
+                                      prefix="DEN:"):
+        cat = CAT.load_model_pack(f"DEN:{model_hash}")
+    assert isinstance(cat, CAT)
+
+
+def test_with_prefix_can_load_from_den_with_mapping(den_with_model: Den):
+    model_name = "Cool model - works 1337"
+    model_hash = den_with_model.list_available_base_models()[0].model_id
+    name_map = {model_name: model_hash}
+    with medcat_injector.injected_den(den_getter=lambda: den_with_model,
+                                      prefix="DEN:",
+                                      model_name_mapper=name_map):
+        cat = CAT.load_model_pack(f"DEN:{model_hash}")
+    assert isinstance(cat, CAT)
+
+
+# inject with saving
+
+
+def test_den_has_model_with_data(den_with_nonempty_model: Den):
+    base_model_info = den_with_nonempty_model.list_available_base_models()[0]
+    deriv_models = den_with_nonempty_model.list_available_derivative_models(
+        base_model_info)
+    assert deriv_models
+    assert len(deriv_models) == 1
+    model = den_with_nonempty_model.fetch_model(deriv_models[0])
+    assert model.cdb.cui2info
+    assert model.cdb.name2info
+
+
+def _helper_can_save_model(den: Den, saver: Callable[[CAT, str], None]):
+    message = "Made Some Good Changes"
+    base_model_info = den.list_available_base_models()[0]
+    derivs_before = den.list_available_derivative_models(
+        base_model_info)
+    example_hash = derivs_before[0].model_id
+    with medcat_injector.injected_den(
+            den_getter=lambda: den,
+            inject_save=True):
+        cat = CAT.load_model_pack(example_hash)
+        cat.trainer.train_unsupervised([
+            "Well, acute kidney failure never gets old, does it?",
+            "What does a chronic epileptic fit even mean?"])
+        # save
+        saver(cat, message)
+        derivs = den.list_available_derivative_models(
+            base_model_info)
+        assert derivs
+        assert len(derivs) > len(derivs_before)
+        # NOTE: find latest deriv
+        deriv = max(derivs, key=lambda mi: len(
+            mi.model_card["History (from least to most recent)"]))
+        latest_description = deriv.model_card["Description"].split("\n")[-1]
+        # NOTE: date is added
+        assert message in latest_description
+
+
+def test_can_save_model_when_injecting_with_saver_target_folder(
+        den_with_nonempty_model: Den):
+    # NOTE: sending message as target folder
+    _helper_can_save_model(
+        den_with_nonempty_model,
+        lambda cat, message: cat.save_model_pack(message))
+
+
+def test_can_save_model_when_injecting_with_saver_change_message_kwarg(
+        den_with_nonempty_model: Den):
+    # use change_description as explicit kwarg
+    _helper_can_save_model(
+        den_with_nonempty_model,
+        lambda cat, message: cat.save_model_pack(
+            None, change_description=message))
+
+
+def test_can_save_model_when_injecting_with_saver_change_message_pack_name(
+        den_with_nonempty_model: Den):
+    # use change_description as explicit kwarg
+    _helper_can_save_model(
+        den_with_nonempty_model,
+        lambda cat, message: cat.save_model_pack(
+            None, message))
+
+
+def test_can_save_model_when_injecting_with_saver_change_message_pos_arg(
+        den_with_nonempty_model: Den):
+    # use change_description as explicit kwarg
+    _helper_can_save_model(
+        den_with_nonempty_model,
+        lambda cat, message: cat.save_model_pack(
+            None, DEFAULT_PACK_NAME, 'dill', True, False, True, message))
diff --git a/medcat-den/tests/injection/test_runtime_injection.py b/medcat-den/tests/injection/test_runtime_injection.py
new file mode 100644
index 000000000..7fa1de5a7
--- /dev/null
+++ b/medcat-den/tests/injection/test_runtime_injection.py
@@ -0,0 +1,43 @@
+import subprocess
+import sys
+import os
+
+
+TARGET_FILE = os.path.join(
+    os.path.dirname(__file__), "_test_runtime_injection.py")
+ROOT_PATH = os.path.realpath(
+    os.path.join(os.path.dirname(__file__), "..", ".."))
+
+
+def help_check(run_args: list[str], force_here: bool = False):
+    result = subprocess.run(run_args, check=True, text=True,
+                            capture_output=True)
+    out_text = result.stdout
+    assert "METHOD: functools.partial" in out_text
+    assert "function injected_load_model_pack" in out_text
+
+
+def test_runtime_injection_file_path():
+    run_args = [sys.executable, '-m', 'medcat_den', '--with-injection',
+                TARGET_FILE]
+    help_check(run_args)
+
+
+def test_runtime_injection_module_path():
+    rel_path = TARGET_FILE.removeprefix(ROOT_PATH)
+    target_module = rel_path.removesuffix(
+        # NOTE: avoid ending .py, replace / with . and remove starting .
+        ".py").replace(os.path.sep, ".").removeprefix(".")
+    run_args = [sys.executable, '-m', 'medcat_den', '--with-injection',
+                "-m", target_module]
+    help_check(run_args)
+
+
+def test_runtime_injection_code_snippet():
+    with open(TARGET_FILE) as f:
+        contents = f.readlines()
+    cmd = ";".join([sline for line in contents
+                    if (sline := line.strip())])
+    run_args = [sys.executable, '-m', 'medcat_den', '--with-injection',
+                "-c", cmd]
+    help_check(run_args)
diff --git a/medcat-den/tests/resources/mct2_model_pack.zip b/medcat-den/tests/resources/mct2_model_pack.zip
new file mode 100644
index 000000000..b6bc74e49
Binary files /dev/null and b/medcat-den/tests/resources/mct2_model_pack.zip differ
diff --git a/medcat-den/tests/test_backend_registration.py b/medcat-den/tests/test_backend_registration.py
new file mode 100644
index 000000000..e5d5de091
--- /dev/null
+++ b/medcat-den/tests/test_backend_registration.py
@@ -0,0 +1,44 @@
+import pytest
+from unittest.mock import MagicMock
+
+from medcat_den.backend import DenType, _remote_den_map, register_remote_den
+from medcat_den.resolver import resolve
+from medcat_den.den import Den
+
+
+class FakeDen(MagicMock):
+
+    def __init__(self, *args, **kw):
+        super().__init__(*args, **kw, spec=Den)
+
+
+@pytest.fixture()
+def with_added_backend():
+    register_remote_den(DenType.MEDCATTERY, FakeDen)
+    yield
+    del _remote_den_map[DenType.MEDCATTERY]
+
+
+@pytest.fixture()
+def avoid_adding_extra_backends():
+    existing = dict(_remote_den_map)
+    yield
+    _remote_den_map.clear()
+    _remote_den_map.update(existing)
+
+
+def test_normally_no_remote_backend():
+    with pytest.raises(ValueError):
+        resolve(DenType.MEDCATTERY, host="example.com",
+                credentials={"Hello": "World"})
+
+
+def test_can_register_backend(avoid_adding_extra_backends):
+    register_remote_den(DenType.MEDCATTERY, FakeDen)
+    assert DenType.MEDCATTERY in _remote_den_map
+
+
+def test_can_resolve_registered_backend(with_added_backend):
+    den = resolve(DenType.MEDCATTERY, host="example.com",
+                  credentials={"Hello": "World"})
+    assert isinstance(den, FakeDen)
diff --git a/medcat-den/tests/test_defaults.py b/medcat-den/tests/test_defaults.py
new file mode 100644
index 000000000..a03c8e93e
--- /dev/null
+++ b/medcat-den/tests/test_defaults.py
@@ -0,0 +1,20 @@
+from medcat_den.den import get_default_den
+from medcat_den.backend import DenType
+from medcat_den.den_impl.file_den import LocalFileDen
+
+
+def test_defaults_to_local():
+    cache = get_default_den()
+    assert isinstance(cache, LocalFileDen)
+
+
+def test_only_has_one_default_cache():
+    cache1 = get_default_den()
+    cache2 = get_default_den()
+    assert cache1 is cache2
+
+
+def test_only_has_one_den_per_type():
+    cache1 = get_default_den(DenType.LOCAL_MACHINE)
+    cache2 = get_default_den(DenType.LOCAL_MACHINE)
+    assert cache1 is cache2
diff --git a/medcat-den/tests/test_file_system_den.py b/medcat-den/tests/test_file_system_den.py
new file mode 100644
index 000000000..d9ff5f9eb
--- /dev/null
+++ b/medcat-den/tests/test_file_system_den.py
@@ -0,0 +1,194 @@
+from functools import lru_cache
+from typing import cast
+import os
+
+from medcat.cat import CAT
+
+from medcat_den.den import Den
+from medcat_den.config import LocalDenConfig
+from medcat_den.backend import DenType
+from medcat_den.den_impl import LocalFileDen
+from medcat_den.base import ModelInfo, ModelCard
+from medcat_den.wrappers import CannotSaveOnDiskException
+
+import pytest
+
+from . import MODEL_PATH
+
+
+UNSUP_TRAIN_EXAMPLE = [
+    "The acute kidney failure we noticed was not an issue",
+    "the doctor was not at all concerned by the loss of kidney function "
+    "in an otherwise fit 25 year old male",
+]
+
+
+@pytest.fixture
+def den(tmp_path: str):
+    cnf = LocalDenConfig(type=DenType.LOCAL_USER, location=tmp_path)
+    return LocalFileDen(cnf=cnf)
+
+
+@pytest.fixture
+def def_model_card() -> ModelCard:
+    return {
+        "Model ID": "SomeID",
+        "Last Modified On": "date-modified",
+        "History (from least to most recent)": [],
+        'Description': "FAKE MODEL / not exists",
+        'Source Ontology': ["NO-REAL-ONT"],
+        'Location': "CI",
+        'MetaCAT models': [],
+        'Basic CDB Stats': {
+            "Number of concepts": 1,
+            "Number of names": 2,
+            "Number of concepts that received training": 0,
+            "Number of seen training examples in total": 0,
+            "Average training examples per concept": 0,
+            "Unsupervised training history": [],
+            "Supervised training history": [],
+        },
+        'Performance': {},
+        ('Important Parameters '
+         '(Partial view, all available in cat.config)'): {},
+        'MedCAT Version': "v2.0.0",
+    }
+
+
+@pytest.fixture
+def def_model_info(def_model_card: ModelCard) -> ModelInfo:
+    return ModelInfo(
+            model_id='ID', model_card=def_model_card, base_model=None)
+
+
+@lru_cache
+def _load_model(path: str) -> CAT:
+    return _load_model_internal(path)
+
+
+def _load_model_internal(path: str) -> CAT:
+    cat = CAT.load_model_pack(path)
+    cat.config.meta.ontology = ["FAKE-ONT"]
+    return cat
+
+
+@pytest.fixture
+def def_model_pack() -> CAT:
+    return _load_model(MODEL_PATH)
+
+
+# test empty den
+
+
+def test_empty_den_has_no_models(den: Den):
+    assert not den.list_available_models()
+
+
+def test_empty_den_has_no_base_models(den: Den):
+    assert not den.list_available_base_models()
+
+
+def test_empty_den_returns_no_model(den: Den, def_model_info: ModelInfo):
+    with pytest.raises(ValueError):
+        den.fetch_model(model_info=def_model_info)
+
+
+# test den with item
+
+
+@pytest.fixture(scope='module')
+def den_with_item(tmp_path_factory):
+    tmp_path = tmp_path_factory.mktemp("den_data")
+    cnf = LocalDenConfig(type=DenType.LOCAL_USER, location=tmp_path)
+    den = LocalFileDen(cnf=cnf)
+    den.push_model(_load_model(MODEL_PATH), "BASE MODEL")
+    return den
+
+
+@pytest.fixture(scope='module')
+def model_with_sup_training() -> CAT:  # NOTE: it's UNSUPERVISED
+    cat = _load_model_internal(MODEL_PATH)
+    cat.trainer.train_unsupervised(UNSUP_TRAIN_EXAMPLE)
+    return cat
+
+
+def test_has_a_model(den_with_item: Den):
+    models = den_with_item.list_available_models()
+    assert len(models) == 1
+
+
+def test_is_a_base_model(den_with_item: Den):
+    models = den_with_item.list_available_base_models()
+    assert len(models) == 1
+
+
+def test_den_has_correct_model(den_with_item: Den, def_model_pack: CAT):
+    model = den_with_item.list_available_models()[0]
+    assert model.model_id == def_model_pack.get_model_card(True)["Model ID"]
+
+
+def test_den_has_correct_base_model(den_with_item: Den, def_model_pack: CAT):
+    model = den_with_item.list_available_base_models()[0]
+    assert model.model_id == def_model_pack.get_model_card(True)["Model ID"]
+
+
+def test_den_returns_same_model(den_with_item: Den, def_model_pack: CAT):
+    model = den_with_item.list_available_models()[0]
+    smc = model.model_card
+    rmc = def_model_pack.get_model_card(True)
+    assert smc == rmc
+
+
+def test_den_returned_model_cannot_be_saved(den_with_item: Den):
+    model_info = den_with_item.list_available_base_models()[0]
+    model = den_with_item.fetch_model(model_info)
+    with pytest.raises(CannotSaveOnDiskException):
+        model.save_model_pack(".", "model_pack_name")
+
+
+def test_den_cannot_add_same_model(den_with_item: Den,
+                                   def_model_pack: CAT):
+    with pytest.raises(ValueError):
+        den_with_item.push_model(def_model_pack, "No changes!")
+
+
+def test_den_can_add_trained_model(den_with_item: Den,
+                                   model_with_sup_training: CAT):
+    base_model_info = den_with_item.list_available_base_models()[0]
+    den_with_item.push_model(model_with_sup_training, "2 lines of training")
+    avail_models = den_with_item.list_available_models()
+    assert len(avail_models) == 2
+    avail_model_ids = [model.model_id for model in avail_models]
+    assert model_with_sup_training.get_model_card(
+        True)["Model ID"] in avail_model_ids
+    # not a base model
+    assert len(den_with_item.list_available_base_models()) == 1
+    # listed as derivative of base model
+    derivs = den_with_item.list_available_derivative_models(base_model_info)
+    assert len(derivs) == 1
+    deriv_ids = [model.model_id for model in derivs]
+    assert model_with_sup_training.get_model_card(
+        True)["Model ID"] in deriv_ids
+
+
+def test_den_cannot_remove_base_model(den_with_item: Den) -> None:
+    mi = den_with_item.list_available_base_models()[0]
+    with pytest.raises(ValueError):
+        den_with_item.delete_model(mi)
+
+
+def test_den_can_delete_non_base_model(den_with_item: Den) -> None:
+    base = den_with_item.list_available_base_models()[0]
+    deriv = den_with_item.list_available_derivative_models(base)[0]
+    den_with_item.delete_model(deriv)
+    zip_path = cast(LocalFileDen, den_with_item)._get_model_zip_path(deriv)
+    assert den_with_item.list_available_base_models() == [base]
+    assert den_with_item.list_available_models() == [base]
+    assert not os.path.exists(zip_path)
+    assert not os.path.exists(zip_path.removesuffix(".zip"))
+
+
+def test_den_can_delete_model(den_with_item: Den) -> None:
+    mi = den_with_item.list_available_models()[0]
+    den_with_item.delete_model(mi, allow_delete_base_models=True)
+    assert den_with_item.list_available_base_models() == []
diff --git a/medcat-den/tests/test_remote_den_disallows.py b/medcat-den/tests/test_remote_den_disallows.py
new file mode 100644
index 000000000..567c0fcba
--- /dev/null
+++ b/medcat-den/tests/test_remote_den_disallows.py
@@ -0,0 +1,149 @@
+from typing import cast
+from medcat_den.config import RemoteDenConfig
+from medcat_den.backend import DenType
+from medcat_den.injection import injected_den
+from medcat_den.wrappers import CATWrapper, CannotSendToRemoteException
+from medcat_den.wrappers import NotAllowedToFineTuneLocallyException
+from medcat_den.den import Den
+from medcat_den.den_impl.file_den import LocalFileDen
+from medcat_den.base import ModelInfo
+
+from medcat.cat import CAT
+
+import pytest
+
+from .test_file_system_den import def_model_pack, den, UNSUP_TRAIN_EXAMPLE  # noqa
+
+
+def get_wrapped_model_pack(
+        in_model_pack: CAT, cnf: RemoteDenConfig) -> CATWrapper:  # noqa
+    # make it a wrapper
+    in_model_pack.__class__ = CATWrapper
+    model_pack = cast(CATWrapper, in_model_pack)
+    # set required stuff, mostly the config
+    model_pack._den_cnf = cnf
+    # set model info
+    model_pack._model_info = ModelInfo.from_model_pack(model_pack)
+    return model_pack
+
+
+@pytest.fixture
+def cnf_disallow_all():
+    return RemoteDenConfig(type=DenType.MEDCATTERY,
+                           host="ABC",
+                           credentials={"A": "B"},
+                           allow_local_fine_tune=False,
+                           allow_push_fine_tuned=False,
+                           )
+
+
+@pytest.fixture
+def cnf_allow_push_only():
+    return RemoteDenConfig(type=DenType.MEDCATTERY,
+                           host="ABC",
+                           credentials={"A": "B"},
+                           allow_local_fine_tune=False,
+                           allow_push_fine_tuned=True,
+                           )
+
+
+@pytest.fixture
+def cnf_allow_finetune_only():
+    return RemoteDenConfig(type=DenType.MEDCATTERY,
+                           host="ABC",
+                           credentials={"A": "B"},
+                           allow_local_fine_tune=True,
+                           allow_push_fine_tuned=False,
+                           )
+
+
+@pytest.fixture
+def cnf_allow_both():
+    return RemoteDenConfig(type=DenType.MEDCATTERY,
+                           host="ABC",
+                           credentials={"A": "B"},
+                           allow_local_fine_tune=True,
+                           allow_push_fine_tuned=True,
+                           )
+
+
+@pytest.fixture
+def den_disallow_all(den: LocalFileDen, cnf_disallow_all: RemoteDenConfig) -> Den:  # noqa
+    # NOTE: local den with remote config
+    den._cnf = cnf_disallow_all
+    return den
+
+
+@pytest.fixture
+def den_allow_push_only(den: LocalFileDen, cnf_allow_push_only: RemoteDenConfig) -> Den:  # noqa
+    # NOTE: local den with remote config
+    den._cnf = cnf_allow_push_only
+    return den
+
+
+@pytest.fixture
+def den_allow_finetune_only(den: LocalFileDen, cnf_allow_finetune_only: RemoteDenConfig) -> Den:  # noqa
+    # NOTE: local den with remote config
+    den._cnf = cnf_allow_finetune_only
+    return den
+
+
+def test_can_normally_push(def_model_pack: CAT, den: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den._cnf)
+    with injected_den(lambda: den, inject_save=True):
+        # do some training
+        model_pack.trainer.train_unsupervised(UNSUP_TRAIN_EXAMPLE)
+        # should be able to just send to den
+        model_pack.save_model_pack("Did some fine-tuning")
+
+
+
+def test_can_disallow_push_all(def_model_pack: CAT, den_disallow_all: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den_disallow_all._cnf)
+    with injected_den(lambda: den_disallow_all, inject_save=True):
+        # do some training
+        model_pack.trainer.train_unsupervised(UNSUP_TRAIN_EXAMPLE)
+        # attempt to save to den
+        with pytest.raises(CannotSendToRemoteException):
+            model_pack.save_model_pack("Did some fine-tuning")
+
+
+def test_can_disallow_save_finetune_only(def_model_pack: CAT, den_allow_finetune_only: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den_allow_finetune_only._cnf)
+    with injected_den(lambda: den_allow_finetune_only, inject_save=True):
+        # do some training
+        model_pack.trainer.train_unsupervised(UNSUP_TRAIN_EXAMPLE)
+        # attempt to save to den
+        with pytest.raises(CannotSendToRemoteException):
+            model_pack.save_model_pack("Did some fine-tuning")
+
+
+
+def test_can_normally_fine_tune(def_model_pack: CAT, den: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den._cnf)
+    with injected_den(lambda: den, inject_save=True):
+        # should be able to just do some supervised training
+        model_pack.trainer.train_supervised_raw({"projects": []})
+
+
+def test_can_disallow_fine_tune_all(def_model_pack: CAT, den_disallow_all: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den_disallow_all._cnf)
+    with injected_den(lambda: den_disallow_all, inject_save=True):
+        # attempt to save do supervised training
+        with pytest.raises(NotAllowedToFineTuneLocallyException):
+            model_pack.trainer.train_supervised_raw({"projects": []})
+
+
+def test_can_disallow_fine_tune_push_only(def_model_pack: CAT, den_allow_push_only: LocalFileDen):  # noqa
+    model_pack = get_wrapped_model_pack(
+        def_model_pack, den_allow_push_only._cnf)
+    with injected_den(lambda: den_allow_push_only, inject_save=True):
+        # attempt to save do supervised training
+        with pytest.raises(NotAllowedToFineTuneLocallyException):
+            model_pack.trainer.train_supervised_raw({"projects": []})
+            model_pack.save_model_pack("Did some fine-tuning")
diff --git a/medcat-den/tests/test_resolver.py b/medcat-den/tests/test_resolver.py
new file mode 100644
index 000000000..c28a94d1a
--- /dev/null
+++ b/medcat-den/tests/test_resolver.py
@@ -0,0 +1,127 @@
+import platform
+import os
+
+from medcat.cat import CAT
+
+from medcat_den.resolver import resolve, resolve_from_config
+from medcat_den.backend import DenType
+from medcat_den.den_impl.file_den import LocalFileDen
+from medcat_den.cache.local_cache import has_local_cache, LocalCache
+from medcat_den.config import LocalDenConfig
+
+from . import MODEL_PATH
+
+import pytest
+
+os_name = platform.system()
+
+
+IS_LINUX = os_name == "Linux"
+IS_MACOS = os_name == "Darwin"
+IS_WINDOWS = os_name == "Windows"
+
+
+def test_defaults_to_user_local():
+    den = resolve()
+    assert isinstance(den, LocalFileDen)
+    models_folder = den._models_folder
+    if IS_LINUX:
+        assert models_folder.startswith("/home")
+        assert ".local" in models_folder
+    elif IS_MACOS:
+        assert models_folder.startswith("/Users")
+        assert "/Library/Application Support/" in models_folder
+    elif IS_WINDOWS:
+        assert models_folder.startswith("C:\\Users")
+        assert "AppData" in models_folder
+    else:
+        raise ValueError("Unable to test against platform...")
+    assert not has_local_cache(den)
+
+
+def test_can_do_machine_local():
+    den = resolve(DenType.LOCAL_MACHINE)
+    assert isinstance(den, LocalFileDen)
+    models_folder = den._models_folder
+    if IS_LINUX:
+        assert (
+            models_folder.startswith("/usr/local/share/") or
+            models_folder.startswith("/var/tmp/"))
+    elif IS_MACOS:
+        assert (
+            models_folder.startswith("/Library/Application Support/") or
+            # NOTE: the above is not accessible unless you use sudo
+            models_folder.startswith("/var/tmp/"))
+    elif IS_WINDOWS:
+        assert models_folder.startswith("C:\\ProgramData")
+    else:
+        raise ValueError("Unable to test against platform...")
+    assert not has_local_cache(den)
+
+
+def test_can_use_local_cache(tmp_path: str):
+    den = resolve(local_cache_path=tmp_path)
+    assert has_local_cache(den)
+
+
+@pytest.fixture
+def cat() -> CAT:
+    cat = CAT.load_model_pack(MODEL_PATH)
+    cat.config.meta.ontology = ["FAKE-ONT"]
+    return cat
+
+
+def test_saves_to_local_cache(cat: CAT, tmp_path: str):
+    den_path = os.path.join(tmp_path, "den")
+    den = resolve(local_cache_path=tmp_path, location=den_path)
+    den.push_model(cat, "Some Base CAT")
+    cache: LocalCache = den.cache
+    model_id = cat.get_model_card(True)["Model ID"]
+    model_path = cache.get(model_id)
+    assert os.path.exists(model_path)
+
+
+@pytest.fixture
+def user_cnf(tmp_path: str):
+    return LocalDenConfig(type=DenType.LOCAL_USER, location=tmp_path)
+
+
+@pytest.fixture
+def machine_cnf(tmp_path: str):
+    return LocalDenConfig(type=DenType.LOCAL_MACHINE, location=tmp_path)
+
+
+@pytest.fixture
+def all_cnfs(user_cnf: LocalDenConfig, machine_cnf: LocalDenConfig
+             ) -> list[LocalDenConfig]:
+    return [user_cnf, machine_cnf]
+
+
+def test_resolves_to_same_with_same_cnf(all_cnfs: list[LocalDenConfig]):
+    for cnf in all_cnfs:
+        assert isinstance(cnf, LocalDenConfig)
+        cache1 = resolve_from_config(cnf)
+        cache2 = resolve_from_config(cnf)
+        assert cache1 is cache2
+
+
+def test_resolves_to_same_with_copied_cnf(all_cnfs: list[LocalDenConfig]):
+    for cnf in all_cnfs:
+        assert isinstance(cnf, LocalDenConfig)
+        cache1 = resolve_from_config(cnf)
+        cache2 = resolve_from_config(cnf.model_copy())
+        assert cache1 is cache2
+
+
+def test_change_in_config_values_provides_new_den(user_cnf: LocalDenConfig):
+    cache1 = resolve_from_config(user_cnf)
+    user_cnf.type = DenType.LOCAL_MACHINE
+    cache2 = resolve_from_config(user_cnf)
+    assert cache1 is not cache2
+
+
+def test_resolves_to_different_instances_upon_different_cnf(
+        user_cnf, machine_cnf):
+    cache1 = resolve_from_config(user_cnf)
+    cache2 = resolve_from_config(machine_cnf)
+    assert cache1 is not cache2
diff --git a/medcat-den/tutorials/admin_setup.md b/medcat-den/tutorials/admin_setup.md
new file mode 100644
index 000000000..6333ee11c
--- /dev/null
+++ b/medcat-den/tutorials/admin_setup.md
@@ -0,0 +1,139 @@
+# MedCAT Model Den – Admin Guide
+
+This guide is for **system administrators** who are setting up the MedCAT model den for their users  
+(e.g. on a shared JupyterHub instance, cluster, or server).
+
+End-users generally **should not need to configure anything** – the admin should set up the environment variables once, and users will inherit them.
+
+---
+
+## 1. Environment Variables
+
+| Environmetnal variable name    | Values | Description | Comments |
+| ------------------------------ | ------ | ----------- | -------- |
+| MEDCAT_DEN_TYPE                | `LOCAL_USER`, `LOCAL_MACHINE` | The type of den to use | Currently, only local dens have been implemented, but remote (e.g MedCATtery or even cloud) options can be implemented. |
+| MEDCAT_DEN_PATH                | str    | The save path (for local backends) | This is normally automatically specified based on OS and whether it's user or machien local. But can be overwritten here as well. |
+| MEDCAT_DEN_REMOTE_HOST         | str    | The host path to the remote (e.g MedCATtery) | This is currently not yet implemented |
+| MEDCAT_DEN_LOCAL_CACHE_PATH            | str | The local cache path (if required). | This allows caching of models from remote dens |
+| MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME | int | The expriation time for local cache (in seconds) | The default is 10 days |
+| MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE        | int | The maximum size of the cache in bytes | The default is 100 GB |
+| MEDCAT_DEN_LOCAL_CACHE_EVICTION_POLICY | str | The eviction polciy for the local cache | The default is LRU |
+
+---
+
+## 2. Mandatory Configuration
+
+> ⚠️ At a minimum, **you must set** the den type.
+
+- For most setups:  
+  ```bash
+  export MEDCAT_DEN_TYPE=LOCAL_MACHINE
+- If you're using a MEDCATTERY den (not yet implemented at 2025-08-29)
+  - `export MEDCAT_DEN_TYPE=MEDCATTERY`
+  - `export MEDCAT_DEN_REMOTE_HOST=https://den.example.org`
+    - This should be a link to the MedCATtery service
+
+---
+
+## 3. Optional Configuration
+
+Optional settings depend on your chosen den type:
+- REMOTE dens: strongly recommended to configure a local cache
+  ```
+  export MEDCAT_DEN_LOCAL_CACHE_PATH=/srv/medcat/cache
+  export MEDCAT_DEN_LOCAL_CACHE_MAX_SIZE=$((100*1024*1024*1024))  # 100GB
+  export MEDCAT_DEN_LOCAL_CACHE_EXPIRATION_TIME=$((10*24*60*60))  # 10 days
+  ```
+
+---
+
+## 4. Where to Configure Environment Variables
+
+You only need to configure these once, depending on your deployment:
+
+- Linux (system-wide)
+    ```bash
+    # /etc/profile.d/medcat.sh
+    export MEDCAT_DEN_TYPE="LOCAL_MACHINE"
+    export MEDCAT_DEN_PATH="/srv/medcat/models"
+    ```
+- JupyterHub (per-spawner)
+    ```python
+    # jupyterhub_config.py
+    c.Spawner.environment = {
+        "MEDCAT_DEN_TYPE": "LOCAL_MACHINE",
+        "MEDCAT_DEN_LOCAL_CACHE_PATH": "/srv/medcat/cache",
+    }
+    ```
+- Docker / Kubernetes
+    ```yaml
+    # docker-compose.yml
+    environment:
+    - MEDCAT_DEN_TYPE=LOCAL_MACHINE
+    - MEDCAT_DEN_PATH=/srv/medcat/models
+    - MEDCAT_DEN_LOCAL_CACHE_PATH=/srv/medcat/cache
+    ```
+
+---
+
+## 5. Best Practices
+
+- If you're working alone
+  - There is generally no need for MedCAT-den unless you have a very large number of models
+  - If you do need MedCAT-den, the `LOCAL_USER` type should be sufficient
+  - You certainly shouldn't use a local cache in addition
+- If the target is a server
+  - If there is a MedCATtery service available
+    - Use `MEDCATTERY` for den type
+    - Use a local cache
+      - E.g `MEDCAT_DEN_LOCAL_CACHE_PATH=/var/tmp/medcat-den`
+      - NOTE: Make sure the path is accessible to all user (in terms of read/write)
+  - If there is no MedCATtery service available
+    - Use `LOCAL_MACHINE` for den tyep
+    - Do NOT use a local cache (files are local already)
+
+
+## 6. FAQ
+
+**Q: Do end-users need to set these environment variables themselves?**
+
+**A:** No. The admin should configure them globally (system-wide, JupyterHub spawner, or container config). Users’ notebooks will then inherit them automatically.
+
+
+**Q: What happens if I don’t set MEDCAT_DEN_TYPE?**
+
+**A:** The den will default to the `USER_LOCAL` option. It will still be somewhat useful. But only at a per user basis.
+
+**Q: Should I use `LOCAL_USER` or `LOCAL_MACHINE`?**
+**A:**
+- Use `LOCAL_MACHINE` if you want all users to share the same den and model storage.
+- Use `LOCAL_USER` if each user should have their own private den in their home directory.
+
+
+**Q: Is `MEDCATTERY` supported yet?**
+
+**A:** Not at this time. The `MEDCATTERY` type and `MEDCAT_DEN_REMOTE_HOST` variable are placeholders for future support.
+
+
+**Q: How much space should I allocate for caches?**
+
+**A:** Models can be large (up to 3GB each, sometimes even more). The default is 100GB. Adjust based on the number of models you expect and whether multiple users share the same cache.
+
+
+**Q: Can users override the admin defaults?**
+
+**A:** Yes, if they set the variables in their own ~/.bashrc or JupyterHub “environment” configuration. Or even explitly pass them when initialising a den. Admin-set values should be considered defaults, not locks.
+
+
+**Q: What eviction policies are supported for cache?**
+
+**A:** The backend (`diskcache`) supports LRU (`least-recently-used`), LRS (`least-recently-stored`), LFU (`least-frequently-used`), and `none` (disables evictions).
+
+
+**Q: A local den and a local cache? What's the difference?**
+
+**A:** A local den is a (semi) permanent location to save your models at.
+It serves as a replacement to the remote model storage / lifecycle target (such as MedCATtery).
+A local cache is designed to cache files downloaded from the remote store. It is designed to clear the data if/when it is no longer needed.
+While the two can be used together, it doesn't generally make a lot of sense (unless the local den is tied to a slow network attached storage device).
+
diff --git a/medcat-den/tutorials/use_den_simpl.ipynb b/medcat-den/tutorials/use_den_simpl.ipynb
new file mode 100644
index 000000000..8ff1daf6c
--- /dev/null
+++ b/medcat-den/tutorials/use_den_simpl.ipynb
@@ -0,0 +1,127 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "419e0a05",
+   "metadata": {
+    "vscode": {
+     "languageId": "markdown"
+    }
+   },
+   "source": [
+    "# Using the simple den\n",
+    "The den is easiest to use if your administrator has set up everything.\n",
+    "If that is the case, you should be able to simply:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "6103d8ae",
+   "metadata": {
+    "vscode": {
+     "languageId": "markdown"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Got 2 models:\n",
+      "model_id='a645742030cae7be' model_card={'Model ID': 'a645742030cae7be', 'Last Modified On': '2025-08-27T14:19:48.479156', 'History (from least to most recent)': ['a645742030cae7be'], 'Description': 'No description\\n[27 August 2025] BASE MODEL - FAKE', 'Source Ontology': ['FAKE-ONT'], 'Location': 'N/A', 'MetaCAT models': [], 'Basic CDB Stats': {'Number of concepts': 5, 'Number of names': 9, 'Number of concepts that received training': 5, 'Number of seen training examples in total': 20, 'Average training examples per concept': 4.0, 'Unsupervised training history': [], 'Supervised training history': []}, 'Performance': {}, 'Important Parameters (Partial view, all available in cat.config)': {'config.ponents.ner.min_name_len': {'value': 3, 'description': 'Minimum detection length (found terms/mentions shorter than this will not be detected).'}, 'config.ponents.ner.upper_case_limit_len': {'value': 4, 'description': 'All detected terms shorter than this value have to be uppercase, otherwise they will be ignored.'}, 'config.ponents.linking.similarity_threshold': {'value': 0.25, 'description': 'If the confidence of the model is lower than this a detection will be ignore.'}, 'config.ponents.linking.filters.cuis': {'value': 0, 'description': 'Length of the CUIs filter to be included in outputs. If this is not 0 (i.e. not empty) its best to check what is included before using the model'}, 'config.general.spell_check': {'value': True, 'description': 'Is spell checking enabled.'}, 'config.general.spell_check_len_limit': {'value': 7, 'description': 'Words shorter than this will not be spell checked.'}}, 'MedCAT Version': '2.0.0'} base_model=None\n",
+      "model_id='cbbc516986aa8e30' model_card={'Model ID': 'cbbc516986aa8e30', 'Last Modified On': '2025-08-27T14:25:22.993770', 'History (from least to most recent)': ['a645742030cae7be', 'cbbc516986aa8e30'], 'Description': 'No description\\n[27 August 2025] BASE MODEL - FAKE\\n[27 August 2025] Additional-fake-data-trained', 'Source Ontology': ['FAKE-ONT'], 'Location': 'N/A', 'MetaCAT models': [], 'Basic CDB Stats': {'Number of concepts': 5, 'Number of names': 9, 'Number of concepts that received training': 5, 'Number of seen training examples in total': 22, 'Average training examples per concept': 4.4, 'Unsupervised training history': [{'train_time_start': '2025-08-27T14:25:22.989884', 'train_time_end': '2025-08-27T14:25:22.993460', 'project_name': 'N/A', 'num_docs': 2, 'num_epochs': 1}], 'Supervised training history': []}, 'Performance': {}, 'Important Parameters (Partial view, all available in cat.config)': {'config.ponents.ner.min_name_len': {'value': 3, 'description': 'Minimum detection length (found terms/mentions shorter than this will not be detected).'}, 'config.ponents.ner.upper_case_limit_len': {'value': 4, 'description': 'All detected terms shorter than this value have to be uppercase, otherwise they will be ignored.'}, 'config.ponents.linking.similarity_threshold': {'value': 0.25, 'description': 'If the confidence of the model is lower than this a detection will be ignore.'}, 'config.ponents.linking.filters.cuis': {'value': 0, 'description': 'Length of the CUIs filter to be included in outputs. If this is not 0 (i.e. not empty) its best to check what is included before using the model'}, 'config.general.spell_check': {'value': True, 'description': 'Is spell checking enabled.'}, 'config.general.spell_check_len_limit': {'value': 7, 'description': 'Words shorter than this will not be spell checked.'}}, 'MedCAT Version': '2.0.0'} base_model=ModelInfo(model_id='a645742030cae7be', model_card=None, base_model=None)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from medcat_den.den import get_default_den\n",
+    "den = get_default_den()\n",
+    "models = den.list_available_models()\n",
+    "print(\"Got\", len(models), \"models:\")\n",
+    "for model in models:\n",
+    "    print(model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "658f69d7",
+   "metadata": {},
+   "source": [
+    "# If you want to explicitly use a specific type of den\n",
+    "Then you can either use one of the convenience methods:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c9ef552c",
+   "metadata": {
+    "vscode": {
+     "languageId": "markdown"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The machine-local location '/Library/Application Support/medcat-den' does not have write access. Using an alternative of '/var/tmp/medcat-den' instead\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Den (LOCAL_USER) with 2 models:\n",
+      "a645742030cae7be ('No description\\n[27 August 2025] BASE MODEL - FAKE')\n",
+      " - History: ['a645742030cae7be']\n",
+      " - Source ontologies: ['FAKE-ONT']\n",
+      " - Meta models: []\n",
+      " - MedCAT Version: 2.0.0\n",
+      " - Last updated: 2025-08-27T14:19:48.479156\n",
+      "cbbc516986aa8e30 ('No description\\n[27 August 2025] BASE MODEL - FAKE\\n[27 August 2025] Additional-fake-data-trained')\n",
+      " - History: ['a645742030cae7be', 'cbbc516986aa8e30']\n",
+      " - Source ontologies: ['FAKE-ONT']\n",
+      " - Meta models: []\n",
+      " - MedCAT Version: 2.0.0\n",
+      " - Last updated: 2025-08-27T14:25:22.993770\n",
+      "Den (LOCAL_MACHINE) with 0 models:\n",
+      "No models available\n"
+     ]
+    }
+   ],
+   "source": [
+    "from medcat_den.den import get_default_user_local_den, get_default_machine_local_den\n",
+    "from medcat_den.utils import summarise_den\n",
+    "# either use local\n",
+    "user_local = get_default_user_local_den()\n",
+    "print(summarise_den(user_local))\n",
+    "# or machien local\n",
+    "machine_local = get_default_machine_local_den()\n",
+    "print(summarise_den(machine_local))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/medcat-service/.dockerignore b/medcat-service/.dockerignore
index 8850973a1..906f918d2 100644
--- a/medcat-service/.dockerignore
+++ b/medcat-service/.dockerignore
@@ -5,7 +5,7 @@ tmp_cat.log
 # skip the models directory
 models
 !models/examples
-models/examples/example-medcat-v1-model-pack
+models/examples/example-medcat-v[12]-model-pack
 
 ## Default Python .dockerignore
 # Git
diff --git a/medcat-service/.gitignore b/medcat-service/.gitignore
index 4e3739586..10609cd52 100644
--- a/medcat-service/.gitignore
+++ b/medcat-service/.gitignore
@@ -1,24 +1,34 @@
+# IDE envs and system folders
 .DS_Store
+**/.DS_Store
 .idea
 .vscode
+.venv
+.ruff_cache
+**__pycache__
 venv
 venv-test
-tmp_cat.log
-__pycache__
 .mypy_cache
 *.pyc
 .pyc
+.gradio
+
 # skip the models directory
 models/*
 !models/*.sh
 !models/examples
-models/examples/example-medcat-v1-model-pack
+models/examples/example-medcat-v[12]-model-pack
+models/examples/example-deid-model-pack
 
 # tmp folder
 tmp/*
 
 # env folder
-env/*
+.env
+*.env
+**/.env
+**/*.env
 
 # log files
+tmp_cat.log
 medcat.log
diff --git a/medcat-service/Dockerfile b/medcat-service/Dockerfile
index 678bd7ec2..0c1ca1796 100644
--- a/medcat-service/Dockerfile
+++ b/medcat-service/Dockerfile
@@ -6,9 +6,6 @@ ENV CRYPTOGRAPHY_DONT_BUILD_RUST=1
 WORKDIR /cat
 COPY ./requirements.txt /cat
 
-# NOTE: need git for URL based installs
-RUN apt-get update && apt-get install -y git
-
 # Install Python dependencies
 ARG USE_CPU_TORCH=true
 # NOTE: Allow building without GPU so as to lower image size (GPU is disabled by default)
diff --git a/medcat-service/README.md b/medcat-service/README.md
index 89694dfc5..95b89a9de 100644
--- a/medcat-service/README.md
+++ b/medcat-service/README.md
@@ -1,26 +1,20 @@
-# Introduction
-
-This project implements the [MedCAT](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/) NLP application as a service behind a REST API. The general idea is to be able send the text to MedCAT NLP service and receive back the annotations. The REST API is built using [Flask](https://flask.palletsprojects.com/).
-
-Git Branches:
-  - devel: development branch, latest updates and features, might be unstable.
-  - main: stable releases
-  - legacy: branch for old MedCAT version (pre v1.0, new models wont work, only v0.x models will)
+# MedCAT Service
 
+A REST API wrapper for [MedCAT](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/), allowing you to send text for processing and receive structured annotations in response.
 
 Feel free to ask questions on the github issue tracker or on our [discourse website](https://discourse.cogstack.org) which is frequently used by our development team!
 
-# API specification
+## API specification
 
 The API definition follows the one defined in [CogStack GATE NLP Service](https://github.com/CogStack/gate-nlp-service/). Currently, there are 3 endpoints defined, that consume and return data in JSON format:
+
 - *GET* `/api/info` - displays general information about the MedCAT application,
 - *POST* `/api/process` - processes the provided documents and returns back the annotations,
 - *POST* `/api/process_bulk` - processes the provided list of documents and returns back the annotations.
 
 The full specification is available is [OpenAPI](https://github.com/CogStack/gate-nlp-service/tree/devel/api-specs) specification.
 
-
-# Running the application
+## Running the application
 
 The application can be run either as a standalone Python application or as running inside the Docker container (recommended).
 
@@ -29,12 +23,13 @@ The application can be run either as a standalone Python application or as runni
 Please note that prior running the application a number of requirements need to installed (see: `requirements.txt`).
 
 There are two scripts provided implementing starting the application:
-- `start_service_debug.sh` - starts the application in the development mode and using `werkzeug` server for serving Flask applications,
+
+- `start_service_debug.sh` - starts the application in the development mode
 - `start_service_production.sh` - starts the application in 'production' mode and using `gunicorn` server.
 
 ## Running in a Docker container
 
-The recommended way to run the application is to use the provided Docker image. The Docker image can be either downloaded from the Docker Hub (`cogstacksystems/medcat-service:latest`) or build manually using the provided `Dockerfile`. 
+The recommended way to run the application is to use the provided Docker image. The Docker image can be either downloaded from the Docker Hub (`cogstacksystems/medcat-service:latest`) or build manually using the provided `Dockerfile`.
 Please note that by default the built docker image will run the Flask application in 'production' mode running `start_service_production.sh` script.
 
 To build the Docker image manually:
@@ -43,47 +38,50 @@ To build the Docker image manually:
 
 To run the container using the built image:
 
-```
-docker run -it -p 5000:5000 \
-  --env-file=envs/env_app --env-file=envs/env_medcat \
-  -v <models-local-dir>:/cat/models:ro \
-  cogstacksystems/medcat-service:latest
+```bash
+  docker run -it -p 5000:5000 \
+    --env-file=envs/env_app --env-file=envs/env_medcat \
+    -v <models-local-dir>:/cat/models:ro \
+    cogstacksystems/medcat-service:latest
 ```
 
-By default the MedCAT service will be running on port `5000`. MedCAT models will be mounted from local directory `<models-local-dir>` into the container at `/cat/models`. 
+By default the MedCAT service will be running on port `5000`. MedCAT models will be mounted from local directory `<models-local-dir>` into the container at `/cat/models`.
 
 ### GPU support
 
 If you have a gpu and wish to use it, please change the `docker/docker-compose.yml` file, use the `cogstacksystems/medcat-service-gpu:latest` image or change the `build:` directive to build `../Dockerfile_gpu`.
 
-### <span style="color:red">IMPORTANT !</span>
-If you wish to run this docker service manually, use the docker/docker-compose.yml file, execute `docker compose up -d` whilst in the `docker` folder. 
+### IMPORTANT
+
+If you wish to run this docker service manually, use the docker/docker-compose.yml file, execute `docker compose up -d` whilst in the `docker` folder.
 
-Alternatively, an example script `./docker/run_example_medmen.sh` was provided to run the Docker container with MedCAT service. The script will download an example model (using the `./scripts/download_medmen.sh` script),it will use an example environment configuration, then it will build and start the service using the provided Docker Compose file, the service <b><span style="color:red">WONT WORK</span></b> without the model being present.
+Alternatively, an example script `./docker/run_example_medmen.sh` was provided to run the Docker container with MedCAT service. The script will download an example model (using the `./scripts/download_medmen.sh` script),it will use an example environment configuration, then it will build and start the service using the provided Docker Compose file, the service ***WONT WORK*** without the model being present.
 
 All models should be mounted from the `models/` folder.
 
-<br>
+### Manual docker start-up steps
 
-### Manual docker start-up steps:
-```
+```bash
   1. cd ./models/
   2. bash ./download_medmen.sh
   3. cd ../docker/
   4. docker compose up -d
-  DONE!
+  5. echo "DONE!"
 ```
+
 Or, if you wish to use the above mentioned script ( the sample model is downloaded via script, you don't need to do anything):
-```
+
+```bash
   1. cd ./docker/
   2. bash ./run_example_medmen.sh
   DONE!
 ```
 
-# API Example use
+## API Example use
 
 Assuming that the application is running on the `localhost` with the API exposed on port `5000`, one can run:
-```
+
+```bash
 curl -XPOST http://localhost:5000/api/process \
   -H 'Content-Type: application/json' \
   -d '{"content":{"text":"The patient was diagnosed with leukemia."}}'
@@ -91,7 +89,7 @@ curl -XPOST http://localhost:5000/api/process \
 
 and the received result:
 
-```
+```json
 {
  "result": {"text": "The patient was diagnosed with leukemia.",
  
@@ -106,23 +104,25 @@ and the received result:
 
 Additional DE-ID query sample (make sure you have a de-id model loaded):
 
-curl -XPOST http://localhost:5555/api/process \
+```bash
+curl -XPOST <http://localhost:5555/api/process> \
   -H 'Content-Type: application/json' \
-  -d '{"content":{"text":"Patient Information: Full Name: John Michael Doe \n Gender: Male \n Date of Birth: January 15, 1975 (Age: 49) \n Patient ID: 567890123 \n Address: 1234 Elm Street, Springfield, IL 62701 \n Phone Number: (555) 123-4567 \n Email: johnmdoe@example.com \n Emergency Contact: Jane Doe (Wife) \n Phone: (555) 987-6543 \n Relationship: Spouse"}}'
+  -d '{"content":{"text":"Patient Information: Full Name: John Michael Doe \n Gender: Male \n Date of Birth: January 15, 1975 (Age: 49) \n Patient ID: 567890123 \n Address: 1234 Elm Street, Springfield, IL 62701 \n Phone Number: (555) 123-4567 \n Email: <johnmdoe@example.com> \n Emergency Contact: Jane Doe (Wife) \n Phone: (555) 987-6543 \n Relationship: Spouse"}}'
+```
 
-Make sure you have the following option enabled in `envs/env_medcat` , `DEID_MODE=True`.
+Make sure you have the following option enabled in `envs/(medcat|medcat_deid).env` , `DEID_MODE=True`.
 
 process_bulk example :
 
-```
+```bash
 curl -XPOST http://localhost:5000/api/process_bulk \
  -H 'Content-Type: application/json' \
  -d '{"content": [{"text":"The patient was diagnosed with leukemia."}, {"text": "The patient was diagnosed with cancer."}] }'
 ```
 
-example bulk result : 
+example bulk result :
 
-```
+```json
 {
   "result": [
     {
@@ -270,61 +270,86 @@ example bulk result :
 
 ```
 
-<strong>IMPORTANT info regarding annotation output style</strong><br>
+<strong>IMPORTANT info regarding annotation output style</strong>
 As the changes from MedCAT intoduced dictionary annotation/entity output.
 
 The mode in which annotation entities should be outputted in the JSON response,
    by default this was outputted as a "list" of dicts in older versions, so the output would be :
-   ```
+
+   ```json
     {"annotations": [{"id": "0", "cui" : "C1X..", ..}, {"id":"1", "cui": "...."}]}
    ```
+
    newer versions of MedCAT (1.2+) output entities as a dict, where the id of the entity is a key and the rest of the data is a value, so for "dict",
    the output is
-   ```
+
+   ```json
     {"annotations": [{"0": {"cui": "C0027361", "id": 0,.....}, "1": {"cui": "C001111", "id": 1......}}]}
    ```
-This setting can be configured in the ```./env/env_medcat``` file, using the ```ANNOTATIONS_ENTITY_OUTPUT_MODE``` variable.
+
+This setting can be configured in the ```./env/medcat.env``` file, using the ```MEDCAT_ANNOTATIONS_ENTITY_OUTPUT_MODE``` variable.
 By default, the output of these entities is set to respect the output of the MedCAT package, hence the latter will be used. Please change the above mentioned env variable and make sure your CogStack-Nifi annotation script is adapted accordingly.
-<br>
+
 Please note that the returned NLP annotations will depend on the underlying model used. For evaluation, we can only provide a very basic model trained on [MedMentions](https://github.com/chanzuckerberg/MedMentions). Models utilising [SNOMED CT](https://www.england.nhs.uk/digitaltechnology/digital-primary-care/snomed-ct/) or [UMLS](https://www.nlm.nih.gov/research/umls/index.html) may require applying for licenses from the copyright holders.
-<br>
-<br>
 
-# Configuration
+## Configuration
+
+In the current implementation, configuration for both MedCAT Service application and MedCAT NLP library is based on environment variables. These will be provided usually in the files in the `env` directory:
 
-In the current implementation, configuration for both MedCAT Service application and MedCAT NLP library is based on environment variables. These will be provided usually in two files in `env` directory:
-- `env_app` - configuration of MedCAT Service app,
-- `env_medcat` - configuration of MedCAT library.
+- `env/(app|app_deid).env` - configuration of MedCAT Service app,
+- `env/(medcat|medcat_deid).env` - configuration of MedCAT library.
+- `env/general.env` - configuration of general DOCKER related variables, CPU architecture, shared memory size etc, this is part of all of the major services services across CogStack, also set in the master repo in NiFi.
 
 Both files allow tailoring MedCAT for specific use-cases. When running MedCAT Service, these variables need to be loaded into the current working environment.
 
 ## spaCy models
+
 When using MedCAT for a different language than English, it can be useful to use a different spaCy model. A spaCy model can be included in the MedCAT model pack, but when not using this functionality, it can be useful to install models in the Docker image. This can be done by setting a build-time variable. See the `SPACY_MODELS` variable in [Dockerfile](Dockerfile) for default value and usage.
 
-## MedCAT Service
-MedCAT Service application are defined in `envs/env_app` file.
+## Service Environment vars
+
+MedCAT Service application are defined in `envs/(app|app_deid).env` file.
 
 The following environment variables are available for tailoring the MedCAT Service `gunicorn` server:
+
 - `SERVER_HOST` - specifies the host address (default: `0.0.0.0`),
 - `SERVER_PORT` - the port number used (default: `5000`),
 - `SERVER_WORKERS` - the number of workers serving the Flask app working in parallel (default: `1` ; only used in production server).
 - `SERVER_WORKER_TIMEOUT` - the max timeout (in sec) for receiving response from worker (default: `300` ; only used with production server).
 
 The following environment variables are available for tailoring the MedCAT Service wrapper:
-- `APP_MODEL_NAME` - an informative name of the model used by MedCAT (optional), 
+
+- `APP_MODEL_NAME` - an informative name of the model used by MedCAT (optional),
 - `APP_MODEL_CDB_PATH` - the path to the model's concept database,
 - `APP_MODEL_VOCAB_PATH` - the path to the model's vocabulary,
 - `APP_MODEL_META_PATH_LIST` - the list of paths to meta-annotation models, each separated by `:` character (optional),
 - `APP_BULK_NPROC` - the number of threads used in bulk processing (default: `8`),
-- `APP_TRAINING_MODE` - whether to run the application with MedCAT in training mode (default: `False`).
 - `APP_MEDCAT_MODEL_PACK` -  MedCAT Model Pack path, if this parameter has a value IT WILL BE LOADED FIRST OVER EVERYTHING ELSE (CDB, Vocab, MetaCATs, etc.) declared above.
 
+### Shared Memory (`DOCKER_SHM_SIZE`)
+
+The MedCAT service uses PyTorch multiprocessing and memory-mapped models, which rely on Linux shared memory (`/dev/shm`).  
+By default, Docker limits this to **64 MB**, which is insufficient for NLP models.
+
+Use the environment variable `DOCKER_SHM_SIZE` to control the size of shared memory inside the container. 
+You can set this variable in the `env/general.env` file.
+
+- **Recommended**: `8g` for bulk inference (`APP_BULK_NPROC > 1`)  
+- **Minimum**: `1g` for single-process inference (`APP_BULK_NPROC=1`)  
+
+Example:
+
+```env
+DOCKER_SHM_SIZE=8g
+```
+
 ## Performance Tuning
 
 Theres a range of factors that might impact the performance of this service, the most obvious being the size of the processed documents (amount of text per document) as well as the resources of the machine on which the service operates.
 The main settings that can be used to improve the performance when querying large amounts of documents are : `SERVER_WORKERS` (number of flask web workers that chan handle parallel requests) and `APP_BULK_NPROC` (threads for annotation processing).
 
 ## MedCAT library
-MedCAT parameters are defined in selected `envs/env_medcat*`  file. 
+
+MedCAT parameters are defined in selected `envs/medcat*`  file.
 
 For details on available MedCAT parameters please refer to [the official GitHub repository](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/).
diff --git a/medcat-service/docker/docker-compose-dev.yml b/medcat-service/docker/docker-compose-dev.yml
index 6c3e64e30..51dec8385 100644
--- a/medcat-service/docker/docker-compose-dev.yml
+++ b/medcat-service/docker/docker-compose-dev.yml
@@ -18,6 +18,7 @@ services:
     env_file:
       - ../env/app.env
       - ../env/medcat.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
@@ -44,13 +45,14 @@ services:
     env_file:
       - ../env/app_deid.env
       - ../env/medcat_deid.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
       - "5556:5000"
     networks:
       - cognet
-      
+
 networks:
   cognet:
     driver: bridge
diff --git a/medcat-service/docker/docker-compose-gpu-dev.yml b/medcat-service/docker/docker-compose-gpu-dev.yml
index a2a74e7c8..3882c0328 100644
--- a/medcat-service/docker/docker-compose-gpu-dev.yml
+++ b/medcat-service/docker/docker-compose-gpu-dev.yml
@@ -18,6 +18,7 @@ services:
     env_file:
       - ../env/app.env
       - ../env/medcat.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
@@ -53,6 +54,7 @@ services:
     env_file:
       - ../env/app_deid.env
       - ../env/medcat_deid.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
diff --git a/medcat-service/docker/docker-compose-gpu.yml b/medcat-service/docker/docker-compose-gpu.yml
index ceb7af852..98ad8e33d 100755
--- a/medcat-service/docker/docker-compose-gpu.yml
+++ b/medcat-service/docker/docker-compose-gpu.yml
@@ -4,7 +4,7 @@ services:
     ### Multiple images available:
     ## default image, only CPU support: cogstacksystems/medcat-service:latest 
     ## GPU support: cogstacksystems/medcat-service-gpu:latest
-    image: cogstacksystems/medcat-service-gpu:latest
+    image: ${MEDCAT_SERVICE_DOCKER_IMAGE:-cogstacksystems/medcat-service-gpu:${MEDCAT_SERVICE_VERSION:-latest}}
     restart: always
     environment:
       - http_proxy=$HTTP_PROXY
@@ -13,6 +13,7 @@ services:
     env_file:
       - ../env/app.env
       - ../env/medcat.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
@@ -34,7 +35,7 @@ services:
     ### Multiple images available:
     ## default image, only CPU support: cogstacksystems/medcat-service:latest 
     ## GPU support: cogstacksystems/medcat-service-gpu:latest
-    image: cogstacksystems/medcat-service-gpu:latest
+    image: ${MEDCAT_SERVICE_DOCKER_IMAGE:-cogstacksystems/medcat-service-gpu:${MEDCAT_SERVICE_VERSION:-latest}}
     restart: always
     environment:
       - http_proxy=$HTTP_PROXY
@@ -43,6 +44,7 @@ services:
     env_file:
       - ../env/app_deid.env
       - ../env/medcat_deid.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
diff --git a/medcat-service/docker/docker-compose.example.deid.yml b/medcat-service/docker/docker-compose.example.deid.yml
new file mode 100644
index 000000000..47725a4cb
--- /dev/null
+++ b/medcat-service/docker/docker-compose.example.deid.yml
@@ -0,0 +1,12 @@
+name: cogstack-medcat-service
+services:
+  medcat-service-deid:
+    image: cogstacksystems/medcat-service:${IMAGE_TAG-latest}
+    restart: unless-stopped
+    environment:
+      # Uses a preloaded model pack example inside the image
+      - APP_MEDCAT_MODEL_PACK=/cat/models/examples/example-deid-model-pack.zip 
+      - DEID_MODE=True
+      - DEID_REDACT=True
+    ports:
+      - "5555:5000"
diff --git a/medcat-service/docker/docker-compose.example.v1.yml b/medcat-service/docker/docker-compose.example.v1.yml
new file mode 100644
index 000000000..9af029ffb
--- /dev/null
+++ b/medcat-service/docker/docker-compose.example.v1.yml
@@ -0,0 +1,10 @@
+name: cogstack-medcat-service
+services:
+  medcat-service:
+    image: cogstacksystems/medcat-service:${IMAGE_TAG-latest}
+    restart: unless-stopped
+    environment:
+      # Uses a preloaded model pack example inside the image
+      - APP_MEDCAT_MODEL_PACK=/cat/models/examples/example-medcat-v1-model-pack.zip 
+    ports:
+      - "5555:5000"
diff --git a/medcat-service/docker/docker-compose.example.yml b/medcat-service/docker/docker-compose.example.yml
index 9af029ffb..f77d0c8e7 100644
--- a/medcat-service/docker/docker-compose.example.yml
+++ b/medcat-service/docker/docker-compose.example.yml
@@ -5,6 +5,6 @@ services:
     restart: unless-stopped
     environment:
       # Uses a preloaded model pack example inside the image
-      - APP_MEDCAT_MODEL_PACK=/cat/models/examples/example-medcat-v1-model-pack.zip 
+      - APP_MEDCAT_MODEL_PACK=/cat/models/examples/example-medcat-v2-model-pack.zip 
     ports:
       - "5555:5000"
diff --git a/medcat-service/docker/docker-compose.yml b/medcat-service/docker/docker-compose.yml
index 4d08728b5..46a49801b 100755
--- a/medcat-service/docker/docker-compose.yml
+++ b/medcat-service/docker/docker-compose.yml
@@ -4,7 +4,7 @@ services:
     ### Multiple images available:
     ## default image, only CPU support: cogstacksystems/medcat-service:latest 
     ## GPU support: cogstacksystems/medcat-service-gpu:latest
-    image: cogstacksystems/medcat-service:latest
+    image: ${MEDCAT_SERVICE_DOCKER_IMAGE:-cogstacksystems/medcat-service:${MEDCAT_SERVICE_VERSION:-latest}}
     restart: always
     environment:
       - http_proxy=$HTTP_PROXY
@@ -13,6 +13,7 @@ services:
     env_file:
       - ../env/app.env
       - ../env/medcat.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
@@ -34,13 +35,14 @@ services:
     env_file:
       - ../env/app_deid.env
       - ../env/medcat_deid.env
+    shm_size: "${DOCKER_SHM_SIZE:-1g}"
     volumes:
     - ../models:/cat/models/:rw
     ports:
       - "5556:5000"
     networks:
       - cognet
-      
+
 networks:
   cognet:
     driver: bridge
diff --git a/medcat-service/docker/run_example_simple.sh b/medcat-service/docker/run_example_simple.sh
index 8b4654dbc..7d33bb105 100755
--- a/medcat-service/docker/run_example_simple.sh
+++ b/medcat-service/docker/run_example_simple.sh
@@ -1,6 +1,19 @@
 #!/usr/bin/env bash
 
-DOCKER_COMPOSE_FILE="docker-compose.example.yml"
+DOCKER_COMPOSE_FILE_V1="docker-compose.example.v1.yml"
+DOCKER_COMPOSE_FILE_V2="docker-compose.example.yml"
+DOCKER_COMPOSE_FILE_DEID="docker-compose.example.deid.yml"
+
+EXAMPLE_TO_RUN=$1
+
+# choose between file based on CLI argument
+if [ "$EXAMPLE_TO_RUN" = "v1" ]; then
+  DOCKER_COMPOSE_FILE="$DOCKER_COMPOSE_FILE_V1"
+elif [ "$EXAMPLE_TO_RUN" = "DeID" ]; then
+  DOCKER_COMPOSE_FILE="$DOCKER_COMPOSE_FILE_DEID"
+else
+  DOCKER_COMPOSE_FILE="$DOCKER_COMPOSE_FILE_V2"
+fi
 # To run in a container run "export LOCALHOST_NAME=host.docker.internal"
 LOCALHOST_NAME=${LOCALHOST_NAME:-localhost}
 
@@ -17,7 +30,12 @@ if [ $? -ne 0 ]; then
 fi
 
 # Test the deployment
-integration_test_medcat_service $LOCALHOST_NAME
+if [ $EXAMPLE_TO_RUN = "DeID" ]; then
+  EXPECTED_ANNOTATION="PATIENT"
+else
+  EXPECTED_ANNOTATION="Kidney Failure"
+fi
+integration_test_medcat_service $LOCALHOST_NAME 5555 "$EXPECTED_ANNOTATION"
 if [ $? -ne 0 ]; then
     echo "Failed integration test"
     exit 1
diff --git a/medcat-service/env/app.env b/medcat-service/env/app.env
index c9f83b23f..cb68c397c 100755
--- a/medcat-service/env/app.env
+++ b/medcat-service/env/app.env
@@ -1,5 +1,8 @@
 # Additional settings
 
+MEDCAT_SERVICE_IMAGE_RELEASE_VERSION=latest
+MEDCAT_SERVICE_DOCKER_IMAGE=cogstacksystems/medcat-service:${MEDCAT_SERVICE_IMAGE_RELEASE_VERSION:-latest}
+
 # IMPORTANT : log level set 
 # CRITICAL - 50, ERROR - 40, WARNING - 30, INFO - 20, DEBUG - 10, NOTSET - 0
 APP_LOG_LEVEL=INFO
@@ -13,6 +16,7 @@ APP_MODEL_VOCAB_PATH=/cat/models/medmen/vocab.dat
 
 # optionally, can include multiple models for meta tasks, separated using ':'
 APP_MODEL_META_PATH_LIST=/cat/models/medmen/Status
+APP_MODEL_REL_PATH_LIST=
 
 # MedCAT Model Pack path
 # IMPORTANT: if this parameter has value IT WILL BE LOADED FIRST OVER EVERYTHING ELSE (CDB, Vocab, MetaCATs, etc.) declared above.
@@ -39,4 +43,4 @@ APP_TORCH_THREADS=8
 
 # GPU SETTING
 # CAUTION, use only if you are using the GPU docker image.
-APP_CUDA_DEVICE_COUNT=1
\ No newline at end of file
+APP_CUDA_DEVICE_COUNT=1
diff --git a/medcat-service/env/app_deid.env b/medcat-service/env/app_deid.env
index 4a11422f6..56607c72b 100755
--- a/medcat-service/env/app_deid.env
+++ b/medcat-service/env/app_deid.env
@@ -1,5 +1,8 @@
 # Additional settings
 
+MEDCAT_SERVICE_IMAGE_RELEASE_VERSION=latest
+MEDCAT_SERVICE_DOCKER_IMAGE=cogstacksystems/medcat-service:${MEDCAT_SERVICE_IMAGE_RELEASE_VERSION:-latest}
+
 # IMPORTANT : log level set 
 # CRITICAL - 50, ERROR - 40, WARNING - 30, INFO - 20, DEBUG - 10, NOTSET - 0
 APP_LOG_LEVEL=INFO
@@ -13,11 +16,12 @@ APP_MODEL_VOCAB_PATH=/cat/models/medmen/vocab.dat
 
 # optionally, can include multiple models for meta tasks, separated using ':'
 APP_MODEL_META_PATH_LIST=/cat/models/medmen/Status
+APP_MODEL_REL_PATH_LIST=
 
 # MedCAT Model Pack path
 # IMPORTANT: if this parameter has value IT WILL BE LOADED FIRST OVER EVERYTHING ELSE (CDB, Vocab, MetaCATs, etc.) declared above.
 # Respect the same paths as above : /cat/models/model_pack_name.zip
-APP_MEDCAT_MODEL_PACK=/cat/models/de_id_base.zip
+APP_MEDCAT_MODEL_PACK=
 
 # optionally, an filter the reported concepts by CUIs
 # APP_MODEL_CUI_FILTER_PATH=/cat/models/cui_filter.txt
@@ -39,4 +43,4 @@ APP_TORCH_THREADS=8
 
 # GPU SETTING
 # CAUTION, use only if you are using the GPU docker image.
-APP_CUDA_DEVICE_COUNT=1
\ No newline at end of file
+APP_CUDA_DEVICE_COUNT=-1
diff --git a/medcat-service/env/general.env b/medcat-service/env/general.env
index ef7d85c46..dbefe43f8 100644
--- a/medcat-service/env/general.env
+++ b/medcat-service/env/general.env
@@ -5,4 +5,6 @@
 # remove if this causes issues on any other platform
 # possible values: amd64, arm64
 CPU_ARCHITECTURE=amd64
-DOCKER_DEFAULT_PLATFORM=linux/${CPU_ARCHITECTURE:-amd64}
\ No newline at end of file
+DOCKER_DEFAULT_PLATFORM=linux/${CPU_ARCHITECTURE:-amd64}
+
+DOCKER_SHM_SIZE=1g
diff --git a/medcat-service/env/medcat.env b/medcat-service/env/medcat.env
index eb46fd382..446177197 100755
--- a/medcat-service/env/medcat.env
+++ b/medcat-service/env/medcat.env
@@ -1,25 +1,10 @@
-TYPE=NOT_UMLS
-
 # IMPORTANT : log level set 
 # CRITICAL - 50, ERROR - 40, WARNING - 30, INFO - 20, DEBUG - 10, NOTSET - 0
-LOG_LEVEL=40
-
-NESTED_ENTITIES=False
-
-CNTX_SPAN=9
-CNTX_SPAN_SHORT=3
-MIN_CUI_COUNT=30000
-MIN_CUI_COUNT_STRICT=-1
-MIN_ACC=0.2
-MIN_ACC_TH=0.2
-
-LEARNING_RATE=0.1
-ANNEAL=False
-KEEP_PUNCT=":|."
+MEDCAT_LOG_LEVEL=40
 
 # can be left empty if you want to use the CDB spacy model, otherwise, possible values are : en_core_sci_lg, en_core_sci_md, etc...
 # please note that only SpaCy models that are installed on the docker container are usable (take a look at the .Dockerfile and install any other custom models you may want to use)
-SPACY_MODEL=
+MEDCAT_SPACY_MODEL=
 
 # IMPORTANT:
 #   Mode in which annotation entities should be outputted in the JSON response,
@@ -30,7 +15,7 @@ SPACY_MODEL=
 #   Be mindful of this option as it can affect other services that rely directly on the responses of the service 
 #    (the NiFi groovy scripts and annotation ingester are two such services that process the output, and so they might require further customisation)
 # POSSIBLE VALUES: [list, dict], if left empty then "dict" is the default.
-ANNOTATIONS_ENTITY_OUTPUT_MODE=dict
+MEDCAT_ANNOTATIONS_ENTITY_OUTPUT_MODE=dict
 
-DEID_MODE=False
-DEID_REDACT=False
\ No newline at end of file
+MEDCAT_DEID_MODE=False
+MEDCAT_DEID_REDACT=False
diff --git a/medcat-service/env/medcat_deid.env b/medcat-service/env/medcat_deid.env
index 21c07a3eb..cd5bc3875 100755
--- a/medcat-service/env/medcat_deid.env
+++ b/medcat-service/env/medcat_deid.env
@@ -1,25 +1,10 @@
-TYPE=NOT_UMLS
-
 # IMPORTANT : log level set 
 # CRITICAL - 50, ERROR - 40, WARNING - 30, INFO - 20, DEBUG - 10, NOTSET - 0
-LOG_LEVEL=40
-
-NESTED_ENTITIES=False
-
-CNTX_SPAN=9
-CNTX_SPAN_SHORT=3
-MIN_CUI_COUNT=30000
-MIN_CUI_COUNT_STRICT=-1
-MIN_ACC=0.2
-MIN_ACC_TH=0.2
-
-LEARNING_RATE=0.1
-ANNEAL=False
-KEEP_PUNCT=:|.
+MEDCAT_LOG_LEVEL=10
 
 # can be left empty if you want to use the CDB spacy model, otherwise, possible values are : en_core_sci_lg, en_core_sci_md, etc...
 # please note that only SpaCy models that are installed on the docker container are usable (take a look at the .Dockerfile and install any other custom models you may want to use)
-SPACY_MODEL=
+MEDCAT_SPACY_MODEL=
 
 # IMPORTANT:
 #   Mode in which annotation entities should be outputted in the JSON response,
@@ -30,7 +15,7 @@ SPACY_MODEL=
 #   Be mindful of this option as it can affect other services that rely directly on the responses of the service 
 #    (the NiFi groovy scripts and annotation ingester are two such services that process the output, and so they might require further customisation)
 # POSSIBLE VALUES: [list, dict], if left empty then "dict" is the default.
-ANNOTATIONS_ENTITY_OUTPUT_MODE=dict
+MEDCAT_ANNOTATIONS_ENTITY_OUTPUT_MODE=dict
 
-DEID_MODE=True
-DEID_REDACT=True
\ No newline at end of file
+MEDCAT_DEID_MODE=True
+MEDCAT_DEID_REDACT=True
diff --git a/medcat-service/export_env_vars.sh b/medcat-service/export_env_vars.sh
index f8f1f48d4..a22455b7f 100644
--- a/medcat-service/export_env_vars.sh
+++ b/medcat-service/export_env_vars.sh
@@ -1,4 +1,10 @@
-#!/bin/bash
+#!/usr/bin/env bash
+
+# Enable strict mode (without -e to avoid exit-on-error)
+set -uo pipefail
+
+
+echo "🔧 Running $(basename "${BASH_SOURCE[0]}")..."
 
 set -a
 
@@ -10,8 +16,20 @@ env_files=("env/general.env"
            )
 
 
-for env_file in ${env_files[@]}; do
-  source $env_file
+for env_file in "${env_files[@]}"; do
+  if [ -f "$env_file" ]; then
+    echo "✅ Sourcing $env_file"
+    # shellcheck disable=SC1090
+    source "$env_file"
+  else
+    echo "⚠️ Skipping missing env file: $env_file"
+  fi
 done
 
-set +a
\ No newline at end of file
+
+# Disable auto-export
+set +a
+
+# Restore safe defaults for interactive/dev shell
+set +u
+set +o pipefail
diff --git a/medcat-service/medcat_service/api/__init__.py b/medcat-service/medcat_service/api/__init__.py
deleted file mode 100644
index d99e628e8..000000000
--- a/medcat-service/medcat_service/api/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-from .api import api
-
-__all__ = ['api']
diff --git a/medcat-service/medcat_service/api/api.py b/medcat-service/medcat_service/api/api.py
deleted file mode 100644
index d785f8023..000000000
--- a/medcat-service/medcat_service/api/api.py
+++ /dev/null
@@ -1,99 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import logging
-import os
-import traceback
-
-import simplejson as json
-from flask import Blueprint, Response, request
-
-from medcat_service.nlp_service import NlpService
-
-log = logging.getLogger("API")
-log.setLevel(level=os.getenv("APP_LOG_LEVEL", logging.INFO))
-
-# define API using Flask Blueprint
-#
-api = Blueprint(name='api', import_name='api', url_prefix='/api')
-
-
-# API endpoints definition
-#
-# INFO: we use dependency injection to inject the actual NLP (MedCAT) service
-#
-@api.route('/info', methods=['GET'])
-def info(nlp_service: NlpService) -> Response:
-    """
-    Returns basic information about the NLP Service
-    :param nlp_service: NLP Service provided by dependency injection
-    :return: Flask Response
-    """
-    app_info = nlp_service.nlp.get_app_info()
-    return Response(response=json.dumps(app_info), status=200, mimetype="application/json")
-
-
-@api.route('/process', methods=['POST'])
-def process(nlp_service: NlpService) -> Response:
-    """
-    Returns the annotations extracted from a provided single document
-    :param nlp_service: NLP Service provided by dependency injection
-    :return: Flask response
-    """
-    payload = request.get_json()
-    if payload is None or 'content' not in payload or payload['content'] is None:
-        return Response(response="Input Payload should be JSON", status=400)
-
-    # send across the meta_anns filters in the request.
-    meta_anns_filters = payload.get('meta_anns_filters', None)
-
-    try:
-        result = nlp_service.nlp.process_content(payload['content'], meta_anns_filters=meta_anns_filters)
-        app_info = nlp_service.nlp.get_app_info()
-        response = {'result': result, 'medcat_info': app_info}
-        return Response(response=json.dumps(response, iterable_as_array=True), status=200, mimetype="application/json")
-
-    except Exception as e:
-        log.error(traceback.format_exc())
-        return Response(response="Internal processing error %s" % e, status=500)
-
-
-@api.route('/process_bulk', methods=['POST'])
-def process_bulk(nlp_service: NlpService) -> Response:
-    """
-    Returns the annotations extracted from the provided set of documents
-    :param nlp_service: NLP Service provided by dependency injection
-    :return: Flask Response
-    """
-    payload = request.get_json()
-    if payload is None or 'content' not in payload.keys() or payload['content'] is None:
-        return Response(response="Input Payload should be JSON", status=400)
-
-    try:
-        result = nlp_service.nlp.process_content_bulk(payload['content'])
-        app_info = nlp_service.nlp.get_app_info()
-
-        response = {'result': result, 'medcat_info': app_info}
-        return Response(response=json.dumps(response, iterable_as_array=True), status=200, mimetype="application/json")
-
-    except Exception as e:
-        log.error(traceback.format_exc())
-        return Response(response="Internal processing error %s" % e, status=500)
-
-
-@api.route('/retrain_medcat', methods=['POST'])
-def retrain_medcat(nlp_service: NlpService) -> Response:
-
-    payload = request.get_json()
-    if payload is None or 'content' not in payload or payload['content'] is None:
-        return Response(response="Input Payload should be JSON", status=400)
-
-    try:
-        result = nlp_service.nlp.retrain_medcat(payload['content'], payload['replace_cdb'])
-        app_info = nlp_service.nlp.get_app_info()
-        response = {'result': result, 'annotations': payload['content'], 'medcat_info': app_info}
-        return Response(response=json.dumps(response), status=200, mimetype="application/json")
-
-    except Exception as e:
-        log.error(traceback.format_exc())
-        return Response(response="Internal processing error %s" % e, status=500)
diff --git a/medcat-service/medcat_service/app/__init__.py b/medcat-service/medcat_service/app/__init__.py
deleted file mode 100644
index 04264fd07..000000000
--- a/medcat-service/medcat_service/app/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-from .app import create_app
-
-__all__ = ['create_app']
diff --git a/medcat-service/medcat_service/app/app.py b/medcat-service/medcat_service/app/app.py
deleted file mode 100644
index c318b88a2..000000000
--- a/medcat-service/medcat_service/app/app.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import logging
-import os
-import sys
-
-import injector
-from flask import Flask
-from flask_injector import FlaskInjector
-
-from medcat_service.api import api
-from medcat_service.nlp_processor import MedCatProcessor
-from medcat_service.nlp_service import MedCatService, NlpService
-
-
-def setup_logging():
-    """
-    Configure and setup a default logging handler to print messages to stdout
-    """
-    log_format = '[%(asctime)s] [%(levelname)s] %(name)s: %(message)s'
-
-    log_handler = logging.StreamHandler(sys.stdout)
-    log_handler.setFormatter(logging.Formatter(fmt=log_format))
-    log_handler.setLevel(level=os.getenv("APP_LOG_LEVEL", logging.INFO))
-
-    root_logger = logging.getLogger()
-
-    # only add the handler if a previous one does not exists
-    handler_exists = False
-    for h in root_logger.handlers:
-        if isinstance(h, logging.StreamHandler) and h.level is log_handler.level:
-            handler_exists = True
-            break
-
-    if not handler_exists:
-        root_logger.addHandler(log_handler)
-
-
-def create_app():
-    """
-    Creates the Flask application using the factory method
-    :return: Flask application
-    """
-    setup_logging()
-
-    # create flask app and register API
-    app = Flask(__name__)
-    app.register_blueprint(api)
-
-    # provide the dependent modules via dependency injection
-    def configure(binder):
-        binder.bind(MedCatProcessor, to=MedCatProcessor, scope=injector.singleton)
-        binder.bind(NlpService, to=MedCatService, scope=injector.singleton)
-
-    FlaskInjector(app=app, modules=[configure])
-
-    # remember to return the app
-    return app
diff --git a/medcat-service/medcat_service/config.py b/medcat-service/medcat_service/config.py
new file mode 100644
index 000000000..2a2fa7229
--- /dev/null
+++ b/medcat-service/medcat_service/config.py
@@ -0,0 +1,113 @@
+import logging
+from typing import Any, Optional, Tuple, Union
+
+import torch
+from pydantic import AliasChoices, Field, field_validator
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+def _coerce_loglevel(v: Any) -> int:
+    """
+    Accept int or common strings like 'INFO', 'debug', etc.
+    """
+    if isinstance(v, int):
+        return v
+    if isinstance(v, str):
+        name = v.strip().upper()
+        # Map name to logging level; default INFO if unknown
+        return getattr(logging, name, logging.INFO)
+    return logging.INFO
+
+
+class Settings(BaseSettings):
+
+    model_config = SettingsConfigDict(
+        frozen=True,
+        env_prefix="",  # no prefix; we specify full env names via alias
+        case_sensitive=False,
+        populate_by_name=True
+    )
+
+    app_root_path: str = Field(
+        default="/",
+        description="The Root Path for the FastAPI App",
+        examples=["/medcat-service"],
+    )
+
+    deid_mode: bool = Field(default=False,
+                            validation_alias=AliasChoices("deid_mode", "MEDCAT_DEID_MODE"),
+                            description="Enable DEID mode"
+                            )
+    deid_redact: bool = Field(
+        default=True,
+        validation_alias=AliasChoices("deid_redact", "MEDCAT_DEID_REDACT"),
+        description="Enable DEID redaction. Returns text like [***] instead of [ANNOTATION]"
+    )
+
+    # Model paths
+    model_cdb_path: Optional[str] = Field("/cat/models/medmen/cdb.dat", alias="APP_MODEL_CDB_PATH")
+    model_vocab_path: Optional[str] = Field("/cat/models/medmen/vocab.dat", alias="APP_MODEL_VOCAB_PATH")
+    model_meta_path_list: Union[str, Tuple[str, ...]] = Field(default=(), alias="APP_MODEL_META_PATH_LIST")
+    model_rel_path_list: Union[str, Tuple[str, ...]] = Field(default=(), alias="APP_MODEL_REL_PATH_LIST")
+    medcat_model_pack: Optional[str] = Field("", alias="APP_MEDCAT_MODEL_PACK")
+    model_cui_filter_path: Optional[str] = Field("", alias="APP_MODEL_CUI_FILTER_PATH")
+    spacy_model: str = Field("", alias="MEDCAT_SPACY_MODEL")
+
+    # ---- App logging & MedCAT logging ----
+    app_log_level: int = Field(default=logging.INFO, alias="APP_LOG_LEVEL")
+    medcat_log_level: int = Field(default=logging.INFO, alias="MEDCAT_LOG_LEVEL")
+
+    # ---- App identity / model basics ----
+    app_name: str = Field(default="MedCAT", alias="APP_NAME")
+    app_model_language: str = Field(default="en", alias="APP_MODEL_LANGUAGE")
+    app_model_name: str = Field(default="unknown", alias="APP_MODEL_NAME")
+
+    # ---- Performance knobs ----
+    bulk_nproc: int = Field(8, alias="APP_BULK_NPROC")
+    torch_threads: int = Field(-1, alias="APP_TORCH_THREADS")
+
+    # ---- Output formatting ----
+    # e.g. "dict" | "list" | "json" (service currently uses "dict" default)
+    annotations_entity_output_mode: str = Field(default="dict", alias="MEDCAT_ANNOTATIONS_ENTITY_OUTPUT_MODE")
+
+    # ---- Normalizers ---------------------------------------------------------
+    @field_validator("app_log_level", "medcat_log_level", mode="before")
+    @classmethod
+    def _val_log_levels(cls, v: Any) -> int:
+        return _coerce_loglevel(v)
+
+    @field_validator("annotations_entity_output_mode", mode="after")
+    @classmethod
+    def _lower_mode(cls, v: str) -> str:
+        return v.lower().strip()
+
+    @field_validator("model_meta_path_list", "model_rel_path_list", mode="before")
+    @classmethod
+    def _split_paths(cls, v):
+        if not v:
+            return ()
+        if isinstance(v, str):
+            return tuple(p.strip() for p in v.split(":") if p.strip())
+        if isinstance(v, (list, tuple)):
+            return tuple(v)
+        return ()
+
+    @classmethod
+    def env_name(cls, field: str) -> str:
+        """Return the env var name (alias) for a given field name."""
+        return cls.model_fields[field].alias or field
+
+    @field_validator("bulk_nproc", mode="before")
+    def adjust_bulk_nproc(cls, num_procs: int) -> int:
+        """ This method is used to adjust the number of processes to use for bulk processing.
+            Set number of processes to 1 if MPS (Apple Sillicon) is available, as MPS does not support multiprocessing.
+
+        Args:
+            num_procs (int): number of processes requested
+
+        Returns:
+            int: number of processes to use
+        """
+        if torch.backends.mps.is_available():
+            return 1
+        return num_procs
diff --git a/medcat-service/medcat_service/demo/gradio_demo.py b/medcat-service/medcat_service/demo/gradio_demo.py
new file mode 100644
index 000000000..fbe7db96a
--- /dev/null
+++ b/medcat-service/medcat_service/demo/gradio_demo.py
@@ -0,0 +1,151 @@
+from typing import Dict, List
+
+import gradio as gr
+from pydantic import BaseModel
+
+from medcat_service.dependencies import get_medcat_processor, get_settings
+from medcat_service.types import ProcessAPIInputContent
+from medcat_service.types_entities import Entity
+
+
+class EntityAnnotation(BaseModel):
+    """
+    Expected data format for NER in gradio
+    """
+
+    entity: str
+    score: float
+    index: int
+    word: str
+    start: int
+    end: int
+
+
+headers = ["Pretty Name", "Identifier", "Confidence Score", "Start Index", "End Index", "ID"]
+
+
+class EntityAnnotationDisplay(BaseModel):
+    """
+    DIsplay data format for use in a datatable
+    """
+
+    pretty_name: str
+    identifier: str
+    score: float
+    start: int
+    end: int
+    id: int
+    # Misisng Meta Anns
+
+
+class EntityResponse(BaseModel):
+    """
+    Expected data format of gradio highlightedtext component
+    """
+
+    entities: List[EntityAnnotation]
+    text: str
+
+
+def convert_annotation_to_ner_model(entity: Entity, index: int) -> EntityAnnotation:
+    return EntityAnnotation(
+        entity=entity.get("cui", "UNKNOWN"),
+        score=entity.get("acc", 0.0),
+        index=index,
+        word=entity.get("detected_name", ""),
+        start=entity.get("start", -1),
+        end=entity.get("end", -1),
+    )
+
+
+def convert_annotation_to_display_model(entity: Entity) -> EntityAnnotationDisplay:
+    return EntityAnnotationDisplay(
+        pretty_name=entity.get("pretty_name", ""),
+        identifier=entity.get("cui", "UNKNOWN"),
+        score=entity.get("acc", 0.0),
+        start=entity.get("start", -1),
+        end=entity.get("end", -1),
+        id=entity.get("id", -1),
+        # medcat-demo-app/webapp/demo/views.py
+        # if key == 'meta_anns':
+        # meta_anns=ent.get("meta_anns", {})
+        # if meta_anns:
+        # for meta_ann in meta_anns.keys():
+        # new_ent[meta_ann]=meta_anns[meta_ann]['value']
+    )
+
+
+def convert_entity_dict_to_annotations(entity_dict_list: List[Dict[str, Entity]]) -> list[EntityAnnotation]:
+    annotations: list[EntityAnnotation] = []
+    for entity_dict in entity_dict_list:
+        for key, entity in entity_dict.items():
+            annotations.append(convert_annotation_to_ner_model(entity, index=int(key)))
+    return annotations
+
+
+def convert_entity_dict_to_display_model(entity_dict_list: List[Dict[str, Entity]]) -> list[EntityAnnotationDisplay]:
+    annotations: list[EntityAnnotationDisplay] = []
+    for entity_dict in entity_dict_list:
+        for key, entity in entity_dict.items():
+            annotations.append(convert_annotation_to_display_model(entity))
+    return annotations
+
+
+def convert_display_model_to_list_of_lists(entity_display_model: list[EntityAnnotationDisplay]) -> list[list[str]]:
+    return [[str(getattr(entity, field)) for field in entity.model_fields] for entity in entity_display_model]
+
+
+def process_input(input_text: str):
+    processor = get_medcat_processor(get_settings())
+    input = ProcessAPIInputContent(text=input_text)
+
+    result = processor.process_content(input.model_dump())
+
+    entity_ner_format: list[EntityAnnotation] = convert_entity_dict_to_annotations(result.annotations)
+
+    annotations_as_display_format = convert_entity_dict_to_display_model(result.annotations)
+    response_datatable_format = convert_display_model_to_list_of_lists(annotations_as_display_format)
+
+    response: EntityResponse = EntityResponse(entities=entity_ner_format, text=input_text)
+    return response.model_dump(), response_datatable_format
+
+
+short_example = "John had been diagnosed with acute Kidney Failure the week before"
+
+
+long_example = """
+Description: Intracerebral hemorrhage (very acute clinical changes occurred immediately).
+CC: Left hand numbness on presentation; then developed lethargy later that day.
+
+HX: On the day of presentation, this 72 y/o RHM suddenly developed generalized weakness and lightheadedness, and could not rise from a chair. Four hours later he experienced sudden left hand numbness lasting two hours. There were no other associated symptoms except for the generalized weakness and lightheadedness. He denied vertigo.
+
+He had been experiencing falling spells without associated LOC up to several times a month for the past year.
+
+MEDS: procardia SR, Lasix, Ecotrin, KCL, Digoxin, Colace, Coumadin.
+
+PMH: 1)8/92 evaluation for presyncope (Echocardiogram showed: AV fibrosis/calcification, AV stenosis/insufficiency, MV stenosis with annular calcification and regurgitation, moderate TR, Decreased LV systolic function, severe LAE. MRI brain: focal areas of increased T2 signal in the left cerebellum and in the brainstem probably representing microvascular ischemic disease. IVG (MUGA scan)revealed: global hypokinesis of the LV and biventricular dysfunction, RV ejection Fx 45% and LV ejection Fx 39%. He was subsequently placed on coumadin severe valvular heart disease), 2)HTN, 3)Rheumatic fever and heart disease, 4)COPD, 5)ETOH abuse, 6)colonic polyps, 7)CAD, 8)CHF, 9)Appendectomy, 10)Junctional tachycardia.
+"""  # noqa: E501
+
+article_footer = """
+## Disclaimer
+This software is intended solely for the testing purposes and non-commercial use. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.
+
+contact@cogstack.com for more information.
+
+Please note this is a limited version of MedCAT and it is not trained or validated by clinicans.
+"""  # noqa: E501
+
+io = gr.Interface(
+    fn=process_input,
+    inputs="text",
+    outputs=[
+        gr.HighlightedText(label="Processed Text"),
+        gr.Dataframe(label="Annotations", headers=headers, interactive=False),
+    ],
+    examples=[short_example, long_example],
+    preload_example=0,
+    title="MedCAT Demo",
+    description="Enter some text and click Annotate.",
+    flagging_mode="never",
+    article=article_footer,
+)
diff --git a/medcat-service/medcat_service/dependencies.py b/medcat-service/medcat_service/dependencies.py
new file mode 100644
index 000000000..f9cbab061
--- /dev/null
+++ b/medcat-service/medcat_service/dependencies.py
@@ -0,0 +1,26 @@
+import logging
+from functools import lru_cache
+from typing import Annotated
+
+from fastapi import Depends
+
+from medcat_service.config import Settings
+from medcat_service.nlp_processor.medcat_processor import MedCatProcessor
+
+log = logging.getLogger(__name__)
+
+
+@lru_cache
+def get_settings() -> Settings:
+    settings = Settings()
+    log.debug("Using settings: %s", settings)
+    return settings
+
+
+@lru_cache
+def get_medcat_processor(settings: Annotated[Settings, Depends(get_settings)]) -> MedCatProcessor:
+    log.debug("Creating new Medcat Processsor using settings: %s", settings)
+    return MedCatProcessor(settings)
+
+
+MedCatProcessorDep = Annotated[MedCatProcessor, Depends(get_medcat_processor)]
diff --git a/medcat-service/medcat_service/main.py b/medcat-service/medcat_service/main.py
new file mode 100644
index 000000000..945d6255b
--- /dev/null
+++ b/medcat-service/medcat_service/main.py
@@ -0,0 +1,43 @@
+import gradio as gr
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
+
+from medcat_service.demo.gradio_demo import io
+from medcat_service.dependencies import get_settings
+from medcat_service.routers import admin, health, process
+from medcat_service.types import HealthCheckFailedException
+
+settings = get_settings()
+
+app = FastAPI(
+    title="MedCAT Service",
+    summary="MedCAT Service",
+    contact={
+        "name": "CogStack Org",
+        "url": "https://cogstack.org/",
+        "email": "contact@cogstack.org",
+    },
+    license_info={
+        "name": "Apache 2.0",
+        "identifier": "Apache-2.0",
+    },
+    root_path=settings.app_root_path,
+)
+
+app.include_router(admin.router)
+app.include_router(health.router)
+app.include_router(process.router)
+
+gr.mount_gradio_app(app, io, path="/demo")
+
+
+@app.exception_handler(HealthCheckFailedException)
+async def healthcheck_failed_exception_handler(request: Request, exc: HealthCheckFailedException):
+    return JSONResponse(status_code=503, content=exc.reason.model_dump())
+
+
+if __name__ == "__main__":
+    # Only run this when directly executing `python main.py` for local dev.
+    import os
+    import uvicorn
+    uvicorn.run("medcat_service.main:app", host="0.0.0.0", port=int(os.environ.get("SERVER_PORT", 8000)))
diff --git a/medcat-service/medcat_service/nlp_processor/medcat_processor.py b/medcat-service/medcat_service/nlp_processor/medcat_processor.py
index b75f26b6b..0b2a426c3 100644
--- a/medcat-service/medcat_service/nlp_processor/medcat_processor.py
+++ b/medcat-service/medcat_service/nlp_processor/medcat_processor.py
@@ -1,103 +1,122 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*-
 
 import logging
-import os
 import time
 from datetime import datetime, timezone
 
-import simplejson as json
+import numpy as np
+import torch
 from medcat.cat import CAT
 from medcat.cdb import CDB
-from medcat.config import Config
-from medcat.config.config_meta_cat import ConfigMetaCAT
 from medcat.components.addons.meta_cat import MetaCATAddon
+from medcat.components.addons.relation_extraction.rel_cat import RelCATAddon
 from medcat.components.ner.trf.deid import DeIdModel
+from medcat.config import Config
+from medcat.config.config_meta_cat import ConfigMetaCAT
+from medcat.config.config_rel_cat import ConfigRelCAT
 from medcat.vocab import Vocab
 
+from medcat_service.config import Settings
+from medcat_service.types import HealthCheckResponse, ModelCardInfo, ProcessErrorsResult, ProcessResult, ServiceInfo
 
-class NlpProcessor:
-    """
-    This class defines an interface for NLP Processor
-    """
-
-    def __init__(self):
-        app_log_level = os.getenv("APP_LOG_LEVEL", logging.INFO)
-        medcat_log_level = os.getenv("LOG_LEVEL", logging.INFO)
-
-        self.log = logging.getLogger(self.__class__.__name__)
-        self.log.setLevel(level=app_log_level)
-
-        self.log.debug("APP log level set to : " + str(app_log_level))
-        self.log.debug("MedCAT log level set to : " + str(medcat_log_level))
-
-    def get_app_info(self):
-        pass
-
-    def process_content(self, content, *args, **kwargs):
-        pass
 
-    def process_content_bulk(self, content, *args, **kwargs):
-        pass
-
-    @staticmethod
-    def _get_timestamp():
-        """
-        Returns the current timestamp in ISO 8601 format. Formatted as "yyyy-MM-dd"T"HH:mm:ss.SSSXXX".
-        :return: timestamp string
-        """
-        return datetime.now(tz=timezone.utc).isoformat(timespec="milliseconds")
-
-
-class MedCatProcessor(NlpProcessor):
+class MedCatProcessor:
     """"
     MedCAT Processor class is wrapper over MedCAT that implements annotations extractions functionality
     (both single and bulk processing) that can be easily exposed for an API.
     """
 
-    def __init__(self):
-        super().__init__()
+    def __init__(self, settings: Settings):
+
+        self.service_settings = settings
+
+        self.log = logging.getLogger(self.__class__.__name__)
+        if not self.log.handlers:
+            handler = logging.StreamHandler()
+            handler.setFormatter(logging.Formatter("%(asctime)s [%(levelname)s] %(name)s: %(message)s"))
+            self.log.addHandler(handler)
+        self.log.setLevel(self.service_settings.app_log_level)
+
+        self.log.debug("APP log level set to : " + str(self.service_settings.app_log_level))
+        self.log.debug("MedCAT log level set to : " + str(self.service_settings.medcat_log_level))
 
         self.log.info("Initializing MedCAT processor ...")
+        self._is_ready_flag = False
 
-        self.app_name = os.getenv("APP_NAME", "MedCAT")
-        self.app_lang = os.getenv("APP_MODEL_LANGUAGE", "en")
         self.app_version = MedCatProcessor._get_medcat_version()
-        self.app_model = os.getenv("APP_MODEL_NAME", "unknown")
-        self.entity_output_mode = os.getenv("ANNOTATIONS_ENTITY_OUTPUT_MODE", "dict").lower()
 
-        self.bulk_nproc = int(os.getenv("APP_BULK_NPROC", 8))
-        self.torch_threads = int(os.getenv("APP_TORCH_THREADS", -1))
-        self.DEID_MODE = eval(os.getenv("DEID_MODE", "False"))
-        self.DEID_REDACT = eval(os.getenv("DEID_REDACT", "True"))
-        self.model_card_info = {}
+        self.model_card_info = ModelCardInfo(
+            ontologies=None,
+            meta_cat_model_names=[],
+            rel_cat_model_names=[],
+            model_last_modified_on=None)
+
+        # disale torch gradients, we don't need them for inference
+        # this should also reduce memory consumption
+        torch.set_grad_enabled(False)
+        self.log.info("Torch autograd disabled (inference mode only)")
 
         # this is available to constrain torch threads when there
         # isn't a GPU
         # You probably want to set to 1
         # Not sure what happens if torch is using a cuda device
-        if self.torch_threads > 0:
-            import torch
-            torch.set_num_threads(self.torch_threads)
-            self.log.info("Torch threads set to " + str(self.torch_threads))
+        if self.service_settings.torch_threads > 0:
+            torch.set_num_threads(self.service_settings.torch_threads)
+        self.log.info("Torch threads set to " + str(self.service_settings.torch_threads))
+
+        self.cat: DeIdModel | CAT = self._create_cat()
 
-        self.cat = self._create_cat()
-        self.cat.train = os.getenv("APP_TRAINING_MODE", False)
+        self._is_ready_flag = self._check_medcat_readiness()
 
-        self.log.info("MedCAT processor is ready")
+    @staticmethod
+    def _get_timestamp() -> str:
+        """
+        Returns the current timestamp in ISO 8601 format. Formatted as "yyyy-MM-dd"T"HH:mm:ss.SSSXXX".
+        :return: timestamp string
+        """
+        return datetime.now(tz=timezone.utc).isoformat(timespec="milliseconds")
+
+    def _check_medcat_readiness(self) -> bool:
+        readiness_text = "MedCAT is ready and can get_entities"
+        try:
+            result = self.cat.get_entities(readiness_text)
+            self.log.debug("Result of readiness check is" + str(result))
+            self.log.info("MedCAT processor is ready")
+            return True
+        except Exception as e:
+            self.log.error(
+                "MedCAT processor is not ready. Failed the readiness check", exc_info=e)
+            return False
 
-    def get_app_info(self):
+    def is_ready(self) -> HealthCheckResponse:
+        """
+        Is the MedCAT processor ready to get entities from input text
+        """
+        if self._is_ready_flag:
+            return HealthCheckResponse(
+                name="MedCAT",
+                status="UP"
+            )
+        else:
+            self.log.warning(
+                "MedCAT Processor is not ready. Returning status DOWN")
+            return HealthCheckResponse(
+                name="MedCAT",
+                status="DOWN"
+            )
+
+    def get_app_info(self) -> ServiceInfo:
         """Returns general information about the application.
 
         Returns:
             dict: Application information stored as KVPs.
         """
-        return {"service_app_name": self.app_name,
-                "service_language": self.app_lang,
-                "service_version": self.app_version,
-                "service_model": self.app_model,
-                "model_card_info": self.model_card_info
-                }
+        return ServiceInfo(service_app_name=self.service_settings.app_name,
+                           service_language=self.service_settings.app_model_language,
+                           service_version=self.app_version,
+                           service_model=self.service_settings.app_model_name,
+                           model_card_info=self.model_card_info
+                           )
 
     def process_entities(self, entities, *args, **kwargs):
         """Process entities for repsonse and serialisation
@@ -106,7 +125,9 @@ def process_entities(self, entities, *args, **kwargs):
             if "entities" in entities.keys():
                 entities = entities["entities"]
 
-            if self.entity_output_mode == "list":
+            self._fix_floats(entities)
+
+            if self.service_settings.annotations_entity_output_mode == "list":
                 entities = list(entities.values())
 
         yield entities
@@ -129,11 +150,11 @@ def process_content(self, content, *args, **kwargs):
         """
         if "text" not in content:
             error_msg = "'text' field missing in the payload content."
-            nlp_result = {
-                "success": False,
-                "errors": [error_msg],
-                "timestamp": NlpProcessor._get_timestamp(),
-            }
+            nlp_result = ProcessErrorsResult(
+                success=False,
+                errors=[error_msg],
+                timestamp=self._get_timestamp(),
+            )
 
             return nlp_result
 
@@ -144,9 +165,9 @@ def process_content(self, content, *args, **kwargs):
 
         start_time_ns = time.time_ns()
 
-        if self.DEID_MODE:
-            entities = self.cat.get_entities(text)["entities"]
-            text = self.cat.deid_text(text, redact=self.DEID_REDACT)
+        if self.service_settings.deid_mode and isinstance(self.cat, DeIdModel):
+            entities = self.cat.get_entities(text)
+            text = self.cat.deid_text(text, redact=self.service_settings.deid_redact)
         else:
             if text is not None and len(text.strip()) > 0:
                 entities = self.cat.get_entities(text)
@@ -155,25 +176,30 @@ def process_content(self, content, *args, **kwargs):
 
         elapsed_time = (time.time_ns() - start_time_ns) / 10e8  # nanoseconds to seconds
 
-        if kwargs.get("meta_anns_filters"):
-            meta_anns_filters = kwargs.get("meta_anns_filters")
-            entities = [e for e in entities['entities'].values() if
-                        all(e['meta_anns'][task]['value'] in filter_values
-                            for task, filter_values in meta_anns_filters)]
-
-        entities = self.process_entities(entities, **kwargs)
-
-        nlp_result = {
-            "text": str(text),
-            "annotations": entities,
-            "success": True,
-            "timestamp": NlpProcessor._get_timestamp(),
-            "elapsed_time":  elapsed_time
-        }
-
-        # append the footer
-        if "footer" in content:
-            nlp_result["footer"] = content["footer"]
+        meta_anns_filters = kwargs.get("meta_anns_filters")
+        if meta_anns_filters:
+            if isinstance(entities, dict):
+                entities = [
+                    e
+                    for e in entities["entities"].values()
+                    if isinstance(e, dict)
+                    and all(
+                        task in e.get("meta_anns", {})
+                        and e["meta_anns"][task]["value"] in filter_values
+                        for task, filter_values in meta_anns_filters
+                    )
+                ]
+
+        entities = list(self.process_entities(entities, **kwargs))
+
+        nlp_result = ProcessResult(
+            text=str(text),
+            annotations=entities,
+            success=True,
+            timestamp=self._get_timestamp(),
+            elapsed_time=elapsed_time,
+            footer=content.get("footer"),
+        )
 
         return nlp_result
 
@@ -194,165 +220,144 @@ def process_content_bulk(self, content):
         start_time_ns = time.time_ns()
 
         try:
-            if self.DEID_MODE:
-                ann_res = self.cat.deid_multi_texts(MedCatProcessor._generate_input_doc(content, invalid_doc_ids),
-                                                    redact=self.DEID_REDACT)
-            else:
-                text_input = MedCatProcessor._generate_input_doc(content, invalid_doc_ids)
+
+            text_input = MedCatProcessor._generate_input_doc(content, invalid_doc_ids)
+            if self.service_settings.deid_mode and isinstance(self.cat, DeIdModel):
+                text_to_deid_from_tuple = (x[1] for x in text_input)
+
+                ann_res = self.cat.deid_multi_texts(
+                    list(text_to_deid_from_tuple),
+                    redact=self.service_settings.deid_redact,
+                    n_process=self.service_settings.bulk_nproc,
+                )
+            elif isinstance(self.cat, CAT):
                 ann_res = {
                     ann_id: res for ann_id, res in
                     self.cat.get_entities_multi_texts(
-                        text_input, n_process=self.bulk_nproc)
+                        text_input, n_process=self.service_settings.bulk_nproc)
                 }
         except Exception as e:
             self.log.error("Unable to process data", exc_info=e)
 
-        additional_info = {"elapsed_time": str((time.time_ns() - start_time_ns) / 10e8)}
-
-        return self._generate_result(content, ann_res, invalid_doc_ids, additional_info)
-
-    def retrain_medcat(self, content, replace_cdb):
-        """Retrains Medcat and redeploys model.
-
-        Args:
-            content: Training data for retraining.
-            replace_cdb: Whether to replace the existing CDB.
-
-        Returns:
-            dict: Results containing precision, recall, F1 scores and error dictionaries.
-        """
-
-        with open("/cat/models/data.json", "w") as f:
-            json.dump(content, f)
-
-        DATA_PATH = "/cat/models/data.json"
-        CDB_PATH = "/cat/models/cdb.dat"
-        VOCAB_PATH = "/cat/models/vocab.dat"
-
-        self.log.info("Retraining Medcat Started...")
-
-        p, r, f1, tp_dict, fp_dict, fn_dict = MedCatProcessor._retrain_supervised(self, CDB_PATH, DATA_PATH, VOCAB_PATH)
-
-        self.log.info("Retraining Medcat Completed...")
+        elapsed_time = (time.time_ns() - start_time_ns) / 10e8  # nanoseconds to seconds
 
-        return {"results": [p, r, f1, tp_dict, fp_dict, fn_dict]}
+        return self._generate_result(content, ann_res, elapsed_time)
 
-    def _populate_model_card_info(self, config: Config):
+    def _populate_model_card_info(self, config: Config) -> None:
         """Populates model card information from config.
 
         Args:
             config (Config): MedCAT configuration object.
         """
-        self.model_card_info["ontologies"] = config.meta.ontology \
+        self.model_card_info.ontologies = config.meta.ontology \
             if (isinstance(config.meta.ontology, list)) else str(config.meta.ontology)
-        self.model_card_info["meta_cat_model_names"] = [
-            cnf.general.category_name for cnf in config.components.addons
+        self.model_card_info.meta_cat_model_names = [
+            cnf.general.category_name or "None" for cnf in config.components.addons
             if (isinstance(cnf, ConfigMetaCAT))]
-        self.model_card_info["model_last_modified_on"] = str(config.meta.last_saved)
+        self.model_card_info.rel_cat_model_names = [
+            str(cnf.general.labels2idx.values()) or "None" for cnf in config.components.addons
+            if (isinstance(cnf, ConfigRelCAT))]
+        self.model_card_info.model_last_modified_on = config.meta.last_saved
 
-    # helper MedCAT methods
-    #
-    def _create_cat(self):
+    def _create_cat(self) -> DeIdModel | CAT:
         """Loads MedCAT resources and creates CAT instance.
 
         Returns:
-            CAT: Initialized MedCAT instance.
+            DeIdModel | CAT: Initialized MedCAT instance.
 
         Raises:
             ValueError: If required environment variables are not set.
             Exception: If concept database path is not specified.
         """
-        cat, cdb, vocab, config = None, None, None, None
 
-        # Load CUIs to keep if provided
-        if os.getenv("APP_MODEL_CUI_FILTER_PATH", None) is not None:
-            self.log.debug("Loading CUI filter ...")
-            with open(os.getenv("APP_MODEL_CUI_FILTER_PATH")) as cui_file:
-                all_lines = (line.rstrip() for line in cui_file)
-                cuis_to_keep = [line for line in all_lines if line]  # filter blank lines
+        cdb, vocab = None, None
+        cat: DeIdModel | CAT
 
-        model_pack_path = os.getenv("APP_MEDCAT_MODEL_PACK", "").strip()
+        # ---- CUI filter ----
+        cuis_to_keep: list[str] = []
 
-        if model_pack_path != "":
-            self.log.info("Loading model pack...")
-            cat = CAT.load_model_pack(model_pack_path)
+        if self.service_settings.model_cui_filter_path:
+            self.log.debug("Loading CUI filter ...")
+            with open(self.service_settings.model_cui_filter_path) as cui_file:
+                cuis_to_keep = [line.strip() for line in cui_file if line.strip()]
 
-            if self.DEID_MODE:
-                cat = DeIdModel.load_model_pack(model_pack_path)
+        # ---- Path 1: model pack ----
+        if self.service_settings.medcat_model_pack:
+            self.log.info("Loading model pack...")
+            if self.service_settings.deid_mode:
+                cat = DeIdModel.load_model_pack(self.service_settings.medcat_model_pack)
+            else:
+                cat = CAT.load_model_pack(self.service_settings.medcat_model_pack)
 
-            # Apply CUI filter if provided
-            if os.getenv("APP_MODEL_CUI_FILTER_PATH", None) is not None:
+            if cuis_to_keep:
                 self.log.debug("Applying CUI filter ...")
                 cat.cdb.filter_by_cui(cuis_to_keep)
 
-            if self.app_model.lower() in ["", "unknown", "medmen"]:
-                self.app_model = cat.config.meta.hash
+            cat.config.general.log_level = self.service_settings.medcat_log_level
 
-            self._populate_model_card_info(cat.config)
+            if not self.service_settings.app_model_name and cat.config.meta.hash:
+                self.service_settings = self.service_settings.model_copy(
+                    update={"app_model_name": cat.config.meta.hash}
+                )
 
+            self._populate_model_card_info(cat.config)
             return cat
-        else:
-            self.log.info("APP_MEDCAT_MODEL_PACK not set, skipping....")
-
-        # Vocabulary and Concept Database are mandatory
-        if os.getenv("APP_MODEL_VOCAB_PATH", None) is None and cat is None:
-            raise ValueError("Vocabulary (env: APP_MODEL_VOCAB_PATH) not specified")
-        else:
-            self.log.debug("Loading VOCAB ...")
-            vocab = Vocab.load(os.getenv("APP_MODEL_VOCAB_PATH"))
-
-        if os.getenv("APP_MODEL_CDB_PATH", None) is None and cat is None:
-            raise Exception("Concept database (env: APP_MODEL_CDB_PATH) not specified")
-        else:
-            self.log.debug("Loading CDB ...")
-            cdb = CDB.load(os.getenv("APP_MODEL_CDB_PATH"))
-
-        spacy_model = os.getenv("SPACY_MODEL", "")
 
-        if spacy_model != "":
-            cdb.config.general.nlp.modelname = spacy_model
+        self.log.info(f"{Settings.env_name('medcat_model_pack')} not set, skipping...")
+
+        # ---- Path 2: vocab + cdb ----
+        if not self.service_settings.model_vocab_path:
+            raise ValueError(
+                f"Vocabulary (env {Settings.env_name('model_vocab_path')}) not specified"
+            )
+        self.log.debug("Loading VOCAB ...")
+        vocab = Vocab.load(self.service_settings.model_vocab_path)
+
+        if not self.service_settings.model_cdb_path:
+            raise ValueError(
+                f"Concept database (env {Settings.env_name('model_cdb_path')}) not specified"
+            )
+        self.log.debug("Loading CDB ...")
+        cdb = CDB.load(self.service_settings.model_cdb_path)
+
+        # ---- SpaCy model ----
+        if self.service_settings.spacy_model:
+            cdb.config.general.nlp.provider = "spacy"
+            cdb.config.general.nlp.modelname = self.service_settings.spacy_model
+
+        elif not cdb.config.general.nlp.modelname:
+            raise ValueError(
+                f"No {Settings.env_name('spacy_model')} env var declared and "
+                "CDB has no spaCy model configured"
+            )
         else:
-            logging.warning("SPACY_MODEL environment var not set" +
-                            ", attempting to load the spacy model found within the CDB : "
-                            + cdb.config.general.nlp.modelname)
-
-            if cdb.config.general.nlp.modelname == "":
-                raise ValueError("No SPACY_MODEL env var declared, the CDB loaded does not have a\
-                     spacy_model set in the config variable! \
-                 To solve this declare the SPACY_MODEL in the env_medcat file.")
+            self.log.warning(
+                f"{Settings.env_name('spacy_model')} not set, using spaCy model from CDB: "
+                f"{cdb.config.general.nlp.modelname}"
+            )
 
-        if cat is None:
-            # this is redundant as the config is already in the CDB
-            config = cdb.config
-
-        # Apply CUI filter if provided
-        if os.getenv("APP_MODEL_CUI_FILTER_PATH", None) is not None:
+        if cuis_to_keep:
             self.log.debug("Applying CUI filter ...")
             cdb.filter_by_cui(cuis_to_keep)
 
-        # Meta-annotation models are optional
-        meta_models = []
-        if os.getenv("APP_MODEL_META_PATH_LIST", None) is not None:
-            self.log.debug("Loading META annotations ...")
-            for model_path in os.getenv("APP_MODEL_META_PATH_LIST").split(":"):
-                m = MetaCATAddon.deserialise_from(model_path)
-                meta_models.append(m)
-
-        # if cat:
-        #     meta_models.extend(cat._meta_cats)
+        cat = CAT(cdb=cdb, config=cdb.config, vocab=vocab)
+        cat.config.general.log_level = self.service_settings.medcat_log_level
 
-        if self.app_model.lower() in [None, "unknown"]:
-            self.app_model = cdb.config.meta.hash
+        # ---- CAT add-ons ----
+        for meta_model_path in self.service_settings.model_meta_path_list:
+            self.log.debug("Loading META annotations from %s", meta_model_path)
+            cat.add_addon(MetaCATAddon.deserialise_from(meta_model_path))
 
-        config.general.log_level = os.getenv("LOG_LEVEL", logging.INFO)
+        for rel_model_path in self.service_settings.model_rel_path_list:
+            self.log.debug("Loading RELATION annotations from %s", rel_model_path)
+            cat.add_addon(RelCATAddon.deserialise_from(rel_model_path))
 
-        cat = CAT(cdb=cdb, config=config, vocab=vocab)
-        # add MetaCATs
-        for mc in meta_models:
-            cat.add_addon(mc)
+        if not self.service_settings.app_model_name and cat.config.meta.hash:
+            self.service_settings = self.service_settings.model_copy(
+                update={"app_model_name": cat.config.meta.hash}
+            )
 
         self._populate_model_card_info(cat.config)
-
         return cat
 
     # helper generator functions to avoid multiple copies of data
@@ -376,14 +381,14 @@ def _generate_input_doc(documents, invalid_doc_idx):
             else:
                 invalid_doc_idx.append(i)
 
-    def _generate_result(self, in_documents, annotations, invalid_doc_idx, additional_info={}):
+    def _generate_result(self, in_documents, annotations, elapsed_time):
         """Generator function merging the resulting annotations with the input documents.
 
         Args:
             in_documents (list): Array of input documents that contain "text" field.
             annotations (dict): Array of annotations extracted from documents.
-            invalid_doc_idx (list): Array of invalid document idx.
             additional_info (dict, optional): Additional information to include in results. Defaults to {}.
+            elapsed_time: Total elapsed time to get annotations
 
         Yields:
             dict: Merged document with annotations.
@@ -391,39 +396,48 @@ def _generate_result(self, in_documents, annotations, invalid_doc_idx, additiona
 
         for i in range(len(in_documents)):
             in_ct = in_documents[i]
-            if not self.DEID_MODE and i in annotations.keys():
+            if not self.service_settings.deid_mode and i in annotations.keys():
                 # generate output for valid annotations
 
-                entities = self.process_entities(annotations.get(i))
-
-                # parse the result
-                out_res = {"text": str(in_ct["text"]),
-                           "annotations": entities,
-                           "success": True,
-                           "timestamp": NlpProcessor._get_timestamp()}
-                out_res.update(additional_info)
-            elif self.DEID_MODE:
-                out_res = {"text": in_ct["text"],
-                           "annotations": [],
-                           "success": True,
-                           "timestamp": NlpProcessor._get_timestamp()}
-                out_res.update(additional_info)
+                entities = list(self.process_entities(annotations.get(i)))
+
+                out_res = ProcessResult(
+                    text=str(in_ct["text"]),
+                    annotations=entities,
+                    success=True,
+                    timestamp=self._get_timestamp(),
+                    elapsed_time=elapsed_time,
+                    footer=in_ct.get("footer"),
+                )
+            elif self.service_settings.deid_mode:
+                out_text = str(annotations[i]) if i < len(annotations) else str(in_ct["text"])
+                out_res = ProcessResult(
+                    # TODO: DEID mode is passing the resulting text in the annotations field here but shouldnt.
+                    text=out_text,
+                    # TODO: DEID bulk mode should also be able to return the list of annotations found,
+                    #  to match the features of the singular api, this needs to be matched by MedCAT. CU-869a6wc6z
+                    annotations=[],
+                    success=True,
+                    timestamp=self._get_timestamp(),
+                    elapsed_time=elapsed_time,
+                    footer=in_ct.get("footer"),
+                )
             else:
                 # Don't fetch an annotation set
                 # as the document was invalid
-                out_res = {"text": in_ct["text"],
-                           "annotations": [],
-                           "success": True,
-                           "timestamp": NlpProcessor._get_timestamp()}
-
-            # append the footer
-            if "footer" in in_ct:
-                out_res["footer"] = in_ct["footer"]
+                out_res = ProcessResult(
+                    text=str(in_ct["text"]),
+                    annotations=[],
+                    success=True,
+                    timestamp=self._get_timestamp(),
+                    elapsed_time=elapsed_time,
+                    footer=in_ct.get("footer"),
+                )
 
             yield out_res
 
     @staticmethod
-    def _get_medcat_version():
+    def _get_medcat_version() -> str:
         """Returns the version string of the MedCAT module as reported by pip.
 
         Returns:
@@ -439,171 +453,13 @@ def _get_medcat_version():
         except Exception:
             raise Exception("Cannot read the MedCAT library version")
 
-    def _retrain_supervised(self, cdb_path, data_path, vocab_path, cv=1, nepochs=1,
-                            test_size=0.1, lr=1, groups=None, **kwargs):
-        """Retrains MedCAT model using supervised learning.
-
-        Args:
-            cdb_path (str): Path to concept database.
-            data_path (str): Path to training data.
-            vocab_path (str): Path to vocabulary.
-            cv (int, optional): Number of cross-validation folds. Defaults to 1.
-            nepochs (int, optional): Number of training epochs. Defaults to 1.
-            test_size (float, optional): Size of test set. Defaults to 0.1.
-            lr (float, optional): Learning rate. Defaults to 1.
-            groups (list, optional): Training groups. Defaults to None.
-            **kwargs: Additional keyword arguments.
-
-        Returns:
-            tuple: Precision, recall, F1 score, and error dictionaries.
-        """
-
-        data = json.load(open(data_path))
-        correct_ids = MedCatProcessor._prepareDocumentsForPeformanceAnalysis(data)
-
-        cat = MedCatProcessor._create_cat(self)
-
-        f1_base = MedCatProcessor._computeF1forDocuments(self, data, self.cat, correct_ids)[2]
-        self.log.info("Base model F1: " + str(f1_base))
-
-        cat.train = True
-        cat.spacy_cat.MIN_ACC = os.getenv("MIN_ACC", 0.20)
-        cat.spacy_cat.MIN_ACC_TH = os.getenv("MIN_ACC_TH", 0.20)
-
-        self.log.info("Starting supervised training...")
-
-        try:
-            cat.train_supervised(data_path=data_path, lr=1, test_size=0.1, use_groups=None, nepochs=3)
-        except Exception:
-            self.log.info("Did not complete all supervised training")
-
-        p, r, f1, tp_dict, fp_dict, fn_dict = MedCatProcessor._computeF1forDocuments(self, data, cat, correct_ids)
-
-        self.log.info("Trained model F1: " + str(f1))
-
-        if MedCatProcessor._checkmodelimproved(f1, f1_base):
-            self.log.info("Model will be saved...")
-
-            cat.cdb.save_dict("/cat/models/cdb_new.dat")
-
-        self.log.info("Completed Retraining Medcat...")
-        return p, r, f1, tp_dict, fp_dict, fn_dict
-
-    def _computeF1forDocuments(self, data, cat, correct_ids):
-        """Computes F1 score and related metrics for documents.
-
-        Args:
-            data (dict): Input data containing projects and documents.
-            cat (CAT): MedCAT instance.
-            correct_ids (dict): Dictionary of correct annotations.
-
-        Returns:
-            tuple: Precision, recall, F1 score, and error dictionaries.
-        """
-
-        true_positives_dict, false_positives_dict, false_negatives_dict = {}, {}, {}
-        true_positive_no, false_positive_no, false_negative_no = 0, 0, 0
-
-        for project in data["projects"]:
-
-            predictions = {}
-            documents = project["documents"]
-            true_positives_dict[project["id"]] = {}
-            false_positives_dict[project["id"]] = {}
-            false_negatives_dict[project["id"]] = {}
-
-            for document in documents:
-                true_positives_dict[project["id"]][document["id"]] = {}
-                false_positives_dict[project["id"]][document["id"]] = {}
-                false_negatives_dict[project["id"]][document["id"]] = {}
+    # NOTE: numpy uses np.float32 and those are not json serialisable
+    #       so we need to fix that
 
-                results = cat.get_entities(document["text"])
-                predictions[document["id"]] = [[a["start"], a["end"], a["cui"]] for a in results]
-
-                tps, fps, fns = MedCatProcessor._getAccuraciesforDocument(
-                    predictions[document["id"]],
-                    correct_ids[project["id"]][document["id"]]
-                )
-                true_positive_no += len(tps)
-                false_positive_no += len(fps)
-                false_negative_no += len(fns)
-
-                true_positives_dict[project["id"]][document["id"]] = tps
-                false_positives_dict[project["id"]][document["id"]] = fps
-                false_negatives_dict[project["id"]][document["id"]] = fns
-
-        if (true_positive_no + false_positive_no) == 0:
-            precision = 0
-        else:
-            precision = true_positive_no / (true_positive_no + false_positive_no)
-        if (true_positive_no + false_negative_no) == 0:
-            recall = 0
-        else:
-            recall = true_positive_no / (true_positive_no + false_negative_no)
-        if (precision + recall) == 0:
-            f1 = 0
-        else:
-            f1 = 2*((precision*recall) / (precision + recall))
-
-        return precision, recall, f1, true_positives_dict, false_positives_dict, false_negatives_dict
-
-    @staticmethod
-    def _prepareDocumentsForPeformanceAnalysis(data):
-        """Prepares documents for performance analysis.
-
-        Args:
-            data (dict): Input data containing projects and documents.
-
-        Returns:
-            dict: Dictionary of correct annotations by project and document.
-        """
-        correct_ids = {}
-        for project in data["projects"]:
-            correct_ids[project["id"]] = {}
-
-            for document in project["documents"]:
-                for entry in document["annotations"]:
-                    if entry["correct"]:
-                        if document["id"] not in correct_ids[project["id"]]:
-                            correct_ids[project["id"]][document["id"]] = []
-                        correct_ids[project["id"]][document["id"]].append([entry["start"], entry["end"], entry["cui"]])
-
-        return correct_ids
-
-    @staticmethod
-    def _getAccuraciesforDocument(prediction, correct_ids):
-        """Computes accuracy metrics for a single document.
-
-        Args:
-            prediction (list): List of predicted annotations.
-            correct_ids (list): List of correct annotations.
-
-        Returns:
-            tuple: True positives, false positives, and false negatives.
-        """
-
-        tup1 = list(map(tuple, correct_ids))
-        tup2 = list(map(tuple, prediction))
-
-        true_positives = list(map(list, set(tup1).intersection(tup2)))
-        false_positives = list(map(list, set(tup1).difference(tup2)))
-        false_negatives = list(map(list, set(tup2).difference(tup1)))
-
-        return true_positives, false_positives, false_negatives
-
-    @staticmethod
-    def _checkmodelimproved(f1_model_a, f1_model_b):
-        """Checks if model performance has improved.
-
-        Args:
-            f1_model_a (float): F1 score of first model.
-            f1_model_b (float): F1 score of second model.
-
-        Returns:
-            bool: True if first model has better F1 score, False otherwise.
-        """
-
-        if f1_model_a > f1_model_b:
-            return True
-        else:
-            return False
+    def _fix_floats(self, in_dict: dict) -> dict:
+        for k, v in in_dict.items():
+            if isinstance(v, np.floating):
+                in_dict[k] = float(v)
+            elif isinstance(v, dict):
+                self._fix_floats(v)
+        return in_dict
diff --git a/medcat-service/medcat_service/nlp_service/__init__.py b/medcat-service/medcat_service/nlp_service/__init__.py
deleted file mode 100644
index 6643dcfe4..000000000
--- a/medcat-service/medcat_service/nlp_service/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-from .nlp_service import MedCatService, NlpService
-
-__all__ = ['NlpService', 'MedCatService']
diff --git a/medcat-service/medcat_service/nlp_service/nlp_service.py b/medcat-service/medcat_service/nlp_service/nlp_service.py
deleted file mode 100644
index 27e8519f8..000000000
--- a/medcat-service/medcat_service/nlp_service/nlp_service.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import injector
-
-from medcat_service.nlp_processor import MedCatProcessor
-
-
-class NlpService:
-    """"
-    NLP Service class is an abstract wrapper class around the actual NLP processor.
-    NLP processor will be provided via dependency injection.
-    It should help with tests.
-    """
-    def __init__(self):
-        self.nlp = None
-
-    def get_processor(self):
-        """
-        Returns the wrapped NLP processor
-        :return:
-        """
-        return self.nlp
-
-
-class MedCatService(NlpService):
-    """"
-    MedCAT Service -- wrapper around MedCAT NLP processor
-    """
-    @injector.inject
-    def __init__(self, nlp_processor: MedCatProcessor):
-        super().__init__()
-        self.nlp = nlp_processor
diff --git a/medcat-v1/medcat/ner/__init__.py b/medcat-service/medcat_service/routers/__init__.py
similarity index 100%
rename from medcat-v1/medcat/ner/__init__.py
rename to medcat-service/medcat_service/routers/__init__.py
diff --git a/medcat-service/medcat_service/routers/admin.py b/medcat-service/medcat_service/routers/admin.py
new file mode 100644
index 000000000..ad4d738f7
--- /dev/null
+++ b/medcat-service/medcat_service/routers/admin.py
@@ -0,0 +1,14 @@
+from fastapi import APIRouter
+
+from medcat_service.dependencies import MedCatProcessorDep
+from medcat_service.types import ServiceInfo
+
+router = APIRouter(tags=["admin"])
+
+
+@router.get("/api/info")
+def info(medcat_processor: MedCatProcessorDep) -> ServiceInfo:
+    """
+    Returns basic information about the NLP Service
+    """
+    return medcat_processor.get_app_info()
diff --git a/medcat-service/medcat_service/routers/health.py b/medcat-service/medcat_service/routers/health.py
new file mode 100644
index 000000000..d938d5616
--- /dev/null
+++ b/medcat-service/medcat_service/routers/health.py
@@ -0,0 +1,32 @@
+from fastapi import APIRouter
+
+from medcat_service.dependencies import MedCatProcessorDep
+from medcat_service.types import HealthCheckFailedException, HealthCheckResponseContainer
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/api/health/live")
+def liveness() -> HealthCheckResponseContainer:
+    """
+    Liveness API checks if the application is running.
+    """
+    response = HealthCheckResponseContainer(status="UP", checks=[])
+    if response.status == "DOWN":
+        raise HealthCheckFailedException(reason=response)
+    else:
+        return response
+
+
+@router.get("/api/health/ready")
+def readiness(medcat_processor: MedCatProcessorDep) -> HealthCheckResponseContainer:
+    """
+    Readiness API checks if the application is ready to start accepting traffic
+    """
+    medcat_is_ready = medcat_processor.is_ready()
+
+    if medcat_is_ready.status == "UP":
+        return HealthCheckResponseContainer(status="UP", checks=[medcat_is_ready])
+    else:
+        response = HealthCheckResponseContainer(status="DOWN", checks=[medcat_is_ready])
+        raise HealthCheckFailedException(reason=response)
diff --git a/medcat-service/medcat_service/routers/process.py b/medcat-service/medcat_service/routers/process.py
new file mode 100644
index 000000000..0318e5af5
--- /dev/null
+++ b/medcat-service/medcat_service/routers/process.py
@@ -0,0 +1,82 @@
+import logging
+from typing import Annotated, Union
+
+from fastapi import APIRouter, Body
+from fastapi.exceptions import RequestValidationError
+from pydantic import ValidationError
+
+from medcat_service.dependencies import MedCatProcessorDep
+from medcat_service.types import BulkProcessAPIInput, BulkProcessAPIResponse, ProcessAPIInput, ProcessAPIResponse
+
+log = logging.getLogger("API")
+
+router = APIRouter(tags=["Process"])
+
+
+@router.post("/api/process")
+async def process(
+    payload: Annotated[
+        Union[ProcessAPIInput, dict],
+        Body(
+            openapi_examples={
+                "normal": {
+                    "summary": "A normal example",
+                    "description": "Normal use puts a free text note in the text field",
+                    "value": {
+                        "content": {
+                            "text": "Patient had been diagnosed with acute Kidney Failure the week before",
+                        }
+                    },
+                },
+                "complete": {
+                    "summary": "A complete example",
+                    "description": "Complete use adds a footer and meta annotations filter.",
+                    "value": {
+                        "content": {
+                            "text": "Patient had been diagnosed with acute Kidney Failure the week before",
+                            "footer": "string",
+                        },
+                        "meta_anns_filters": [("Presence", ["True"]), ("Subject", ["Patient", "Family"])],
+                    },
+                },
+            }
+        ),
+    ],
+    medcat_processor: MedCatProcessorDep,
+) -> ProcessAPIResponse:
+    """
+    Returns the annotations extracted from a provided single document
+    """
+    try:
+        if isinstance(payload, ProcessAPIInput):
+            content = payload.content.model_dump()
+            meta_filters = payload.meta_anns_filters
+        elif isinstance(payload, dict):
+            try:
+                validated = ProcessAPIInput.model_validate(payload)
+                content = validated.content.model_dump()
+                meta_filters = validated.meta_anns_filters
+            except ValidationError as ve:
+                log.error("Invalid payload", exc_info=ve)
+                raise RequestValidationError(errors=ve.errors())
+
+        process_result = medcat_processor.process_content(content, meta_anns_filters=meta_filters)
+        app_info = medcat_processor.get_app_info()
+        return ProcessAPIResponse(result=process_result, medcat_info=app_info)
+    except Exception as e:
+        log.error("Unable to process data", exc_info=e)
+        raise e
+
+
+@router.post("/api/process_bulk")
+async def process_bulk(payload: BulkProcessAPIInput, medcat_processor: MedCatProcessorDep) -> BulkProcessAPIResponse:
+    """
+    Returns the annotations extracted from the provided set of documents
+    """
+    try:
+        result = list(medcat_processor.process_content_bulk(payload.model_dump()["content"]))
+        app_info = medcat_processor.get_app_info()
+        return BulkProcessAPIResponse(result=result, medcat_info=app_info)
+    except Exception as e:
+        log.error("Unable to process data", exc_info=e)
+        raise e
diff --git a/medcat-service/medcat_service/test/common.py b/medcat-service/medcat_service/test/common.py
index a5ce0acd8..4f1747868 100644
--- a/medcat-service/medcat_service/test/common.py
+++ b/medcat-service/medcat_service/test/common.py
@@ -1,5 +1,9 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
+import logging
+import os
+
+log = logging.getLogger(__name__)
 
 
 def get_example_short_document():
@@ -56,3 +60,29 @@ def create_payload_content_from_doc_bulk(texts):
     :return: the payload (dict)
     """
     return {"content": [{"text": t} for t in texts]}
+
+
+def setup_medcat_processor():
+    # TODO: these parameters need to be externalized into config file and a custom MedCAT processor created here
+    if "APP_MODEL_CDB_PATH" not in os.environ:
+        log.warning("""Env variable: 'APP_MODEL_CDB_PATH': not set
+                            "-- setting to default: './models/medmen/cdb.dat'""")
+        os.environ["APP_MODEL_CDB_PATH"] = "./models/medmen/cdb.dat"
+
+    if "APP_MODEL_VOCAB_PATH" not in os.environ:
+        log.warning(
+            "OS ENV: APP_MODEL_VOCAB_PATH: not set -- setting to default: './models/medmen/vocab.dat'")
+        os.environ["APP_MODEL_VOCAB_PATH"] = "./models/medmen/vocab.dat"
+
+    if "APP_MODEL_META_PATH_LIST" not in os.environ:
+        log.warning("""OS ENV: APP_MODEL_META_PATH_LIST: not set -- setting to
+                            default: './models/medmen/Status'""")
+        os.environ["APP_MODEL_META_PATH_LIST"] = "./models/medmen/Status"
+
+    if "APP_BULK_NPROC" not in os.environ:
+        log.warning(
+            "OS ENV: APP_BULK_NPROC: not set -- setting to default: 8")
+        os.environ["APP_BULK_NPROC"] = "8"
+
+    os.environ["MEDCAT_DEID_MODE"] = "False"
+    os.environ["MEDCAT_DEID_REDACT"] = "False"
diff --git a/medcat-service/medcat_service/test/test_admin.py b/medcat-service/medcat_service/test/test_admin.py
new file mode 100644
index 000000000..b4b82b048
--- /dev/null
+++ b/medcat-service/medcat_service/test/test_admin.py
@@ -0,0 +1,22 @@
+import unittest
+
+from fastapi.testclient import TestClient
+
+from medcat_service.main import app
+from medcat_service.test.common import setup_medcat_processor
+
+
+class TestAdminApi(unittest.TestCase):
+    ENDPOINT_INFO_ENDPOINT = "/api/info"
+
+    def setUp(self):
+        setup_medcat_processor()
+        self.client = TestClient(app)
+
+    def testGetInfo(self):
+        response = self.client.get(self.ENDPOINT_INFO_ENDPOINT)
+        self.assertEqual(response.status_code, 200)
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/medcat-service/medcat_service/test/test_deid.py b/medcat-service/medcat_service/test/test_deid.py
new file mode 100644
index 000000000..24fe8063a
--- /dev/null
+++ b/medcat-service/medcat_service/test/test_deid.py
@@ -0,0 +1,90 @@
+import os
+import unittest
+
+from fastapi.testclient import TestClient
+
+import medcat_service.test.common as common
+from medcat_service.config import Settings
+from medcat_service.dependencies import get_settings
+from medcat_service.main import app
+
+
+def get_settings_override():
+    return Settings(deid_mode=True, deid_redact=True)
+
+
+class TestMedcatServiceDeId(unittest.TestCase):
+    ENDPOINT_PROCESS_SINGLE = "/api/process"
+    ENDPOINT_PROCESS_BULK = "/api/process_bulk"
+    client: TestClient
+
+    @classmethod
+    def setUpClass(cls):
+        common.setup_medcat_processor()
+
+        if "APP_MEDCAT_MODEL_PACK" not in os.environ:
+            os.environ["APP_MEDCAT_MODEL_PACK"] = "./models/examples/example-deid-model-pack.zip"
+
+        app.dependency_overrides[get_settings] = get_settings_override
+        cls.client = TestClient(app)
+
+    def test_deid_process_api(self):
+        payload = common.create_payload_content_from_doc_single(
+            "John had been diagnosed with acute Kidney Failure the week before"
+        )
+        app.dependency_overrides[get_settings] = get_settings_override
+
+        response = self.client.post(self.ENDPOINT_PROCESS_SINGLE, json=payload)
+        self.assertEqual(response.status_code, 200)
+
+        actual = response.json()
+
+        expected = {
+            "pretty_name": "PATIENT",
+            "source_value": "John",
+            "cui": "PATIENT",
+            "text": "[****] had been diagnosed with acute Kidney Failure the week before",
+        }
+
+        self.assertEqual(actual["result"]["text"], expected["text"])
+
+        self.assertEqual(len(actual["result"]["annotations"]), 1)
+
+        ann = actual["result"]["annotations"][0]["0"]
+        self.assertEqual(ann["pretty_name"], expected["pretty_name"])
+        self.assertEqual(ann["source_value"], expected["source_value"])
+        self.assertEqual(ann["cui"], expected["cui"])
+        app.dependency_overrides = {}
+
+    def test_deid_process_bulk_api(self):
+        payload = common.create_payload_content_from_doc_bulk([
+            "John had been diagnosed with acute Kidney Failure the week before"
+        ])
+        app.dependency_overrides[get_settings] = get_settings_override
+
+        response = self.client.post(self.ENDPOINT_PROCESS_BULK, json=payload)
+        self.assertEqual(response.status_code, 200)
+
+        actual = response.json()
+
+        expected = {
+            "pretty_name": "PATIENT",
+            "source_value": "John",
+            "cui": "PATIENT",
+            "text": "[****] had been diagnosed with acute Kidney Failure the week before",
+        }
+        self.assertEqual(len(actual["result"]), 1)
+        self.assertEqual(actual["result"][0]["text"], expected["text"])
+
+        self.assertEqual(
+            len(actual["result"][0]["annotations"]),
+            0,
+            "CU-869a6wc6z No annotations are currently returned by the bulk API",
+        )
+
+        # Note: CU-869a6wc6z commended out these asserts until annations are returned
+        # ann = actual["result"][0]["annotations"][0]["0"]
+        # self.assertEqual(ann["pretty_name"], expected["pretty_name"])
+        # self.assertEqual(ann["source_value"], expected["source_value"])
+        # self.assertEqual(ann["cui"], expected["cui"])
+        app.dependency_overrides = {}
diff --git a/medcat-service/medcat_service/test/test_health.py b/medcat-service/medcat_service/test/test_health.py
new file mode 100644
index 000000000..5a34d0541
--- /dev/null
+++ b/medcat-service/medcat_service/test/test_health.py
@@ -0,0 +1,50 @@
+import unittest
+
+from fastapi.testclient import TestClient
+
+from medcat_service.dependencies import get_medcat_processor
+from medcat_service.main import app
+from medcat_service.test.common import setup_medcat_processor
+from medcat_service.types import HealthCheckResponse
+
+
+def override_processor():
+    class StubProcessor:
+        def is_ready(self):
+            return HealthCheckResponse(name="MedCAT", status="DOWN")
+
+    return StubProcessor()
+
+
+class TestHealthApi(unittest.TestCase):
+    ENDPOINT_HEALTH_LIVE = "/api/health/live"
+    ENDPOINT_HEALTH_READY = "/api/health/ready"
+
+    def setUp(self):
+        setup_medcat_processor()
+        self.client = TestClient(app)
+
+    def testLiveness(self):
+        response = self.client.get(self.ENDPOINT_HEALTH_LIVE)
+        self.assertEqual(response.status_code, 200)
+
+    def testReadinessIsOk(self):
+        response = self.client.get(self.ENDPOINT_HEALTH_READY)
+        self.assertEqual(response.status_code, 200)
+        data = response.json()
+        self.assertEqual(data, {"status": "UP", "checks": [{"name": "MedCAT", "status": "UP"}]})
+
+    def testReadinessIsNotOk(self):
+        app.dependency_overrides[get_medcat_processor] = override_processor
+
+        response = self.client.get(self.ENDPOINT_HEALTH_READY)
+
+        app.dependency_overrides = {}
+
+        self.assertEqual(response.status_code, 503)
+        data = response.json()
+        self.assertEqual(data, {"status": "DOWN", "checks": [{"name": "MedCAT", "status": "DOWN"}]})
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/medcat-service/medcat_service/test/test_medcat_processor.py b/medcat-service/medcat_service/test/test_medcat_processor.py
new file mode 100644
index 000000000..f338755c9
--- /dev/null
+++ b/medcat-service/medcat_service/test/test_medcat_processor.py
@@ -0,0 +1,24 @@
+import unittest
+
+from medcat_service.config import Settings
+from medcat_service.nlp_processor import MedCatProcessor
+from medcat_service.test.common import setup_medcat_processor
+
+
+class TestMedCatProcessorReadiness(unittest.TestCase):
+    def setUp(self):
+        setup_medcat_processor()
+        self.processor = MedCatProcessor(Settings())
+
+    def test_readiness_is_ok(self):
+        result = self.processor._check_medcat_readiness()
+        self.assertTrue(result)
+
+    def test_readiness_is_not_ok(self):
+        self.processor.cat = None
+        result = self.processor._check_medcat_readiness()
+        self.assertFalse(result)
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/medcat-service/medcat_service/test/test_service.py b/medcat-service/medcat_service/test/test_service.py
index a0d9f349d..92362fe99 100644
--- a/medcat-service/medcat_service/test/test_service.py
+++ b/medcat-service/medcat_service/test/test_service.py
@@ -1,13 +1,12 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*-
 
-import json
 import logging
-import os
 import unittest
 
+from fastapi.testclient import TestClient
+
 import medcat_service.test.common as common
-from medcat_service.app import app as medcat_app
+from medcat_service.main import app
 
 
 class TestMedcatService(unittest.TestCase):
@@ -17,9 +16,9 @@ class TestMedcatService(unittest.TestCase):
 
     # Available endpoints
     #
-    ENDPOINT_INFO_ENDPOINT = '/api/info'
     ENDPOINT_PROCESS_SINGLE = '/api/process'
     ENDPOINT_PROCESS_BULK = '/api/process_bulk'
+    client: TestClient
 
     # Static initialization methods
     #
@@ -31,40 +30,8 @@ def setUpClass(cls):
         :return:
         """
         cls._setup_logging(cls)
-        cls._setup_medcat_processor(cls)
-        cls._setup_flask_app(cls)
-
-    @staticmethod
-    def _setup_medcat_processor(cls, config=None):
-        # TODO: these parameters need to be externalized into config file and a custom MedCAT processor created here
-        if "APP_MODEL_CDB_PATH" not in os.environ:
-            cls.log.warning("""Env variable: 'APP_MODEL_CDB_PATH': not set
-                             "-- setting to default: './models/medmen/cdb.dat'""")
-            os.environ["APP_MODEL_CDB_PATH"] = "./models/medmen/cdb.dat"
-
-        if "APP_MODEL_VOCAB_PATH" not in os.environ:
-            cls.log.warning("OS ENV: APP_MODEL_VOCAB_PATH: not set -- setting to default: './models/medmen/vocab.dat'")
-            os.environ["APP_MODEL_VOCAB_PATH"] = "./models/medmen/vocab.dat"
-
-        if "APP_MODEL_META_PATH_LIST" not in os.environ:
-            cls.log.warning("""OS ENV: APP_MODEL_META_PATH_LIST: not set -- setting to
-                                default: './models/medmen/Status'""")
-            os.environ["APP_MODEL_META_PATH_LIST"] = "./models/medmen/Status"
-
-        if "APP_BULK_NPROC" not in os.environ:
-            cls.log.warning("OS ENV: APP_BULK_NPROC: not set -- setting to default: 8")
-            os.environ["APP_BULK_NPROC"] = "8"
-
-        os.environ["APP_TRAINING_MODE"] = "False"
-
-    @staticmethod
-    def _setup_flask_app(cls):
-        # TODO: this method may need later need to be tailored to create a custom MedCAT Flask app
-        # with a custom MedCAT Service + Processor
-        cls.app = medcat_app.create_app()
-
-        cls.app.testing = True
-        cls.client = cls.app.test_client()
+        common.setup_medcat_processor()
+        cls.client = TestClient(app)
 
     @staticmethod
     def _setup_logging(cls):
@@ -87,7 +54,7 @@ def _testProcessSingleDoc(self, doc):
         response = self.client.post(self.ENDPOINT_PROCESS_SINGLE, json=payload)
         self.assertEqual(response.status_code, 200)
 
-        data = json.loads(response.get_data(as_text=True))
+        data = response.json()
         self.assertGreater(len(data["result"]["annotations"]), 0)
 
     def _testProcessBulkMultipleDocs(self, docs, multiply_sizes):
@@ -107,7 +74,7 @@ def _testProcessBulkMultipleDocs(self, docs, multiply_sizes):
             response = self.client.post(self.ENDPOINT_PROCESS_BULK, json=payload)
             self.assertEqual(response.status_code, 200)
 
-            data = json.loads(response.get_data(as_text=True))
+            data = response.json()
             self.assertEqual(len(data["result"]), n * len(docs))
 
             for res in data["result"]:
@@ -118,10 +85,6 @@ def __init__(self, *args, **kwargs):
 
     # the actual unit tests
     #
-    def testGetInfo(self):
-        response = self.client.get(self.ENDPOINT_INFO_ENDPOINT)
-        self.assertEqual(response.status_code, 200)
-
     def testProcessSingleShortDoc(self):
         doc = common.get_example_short_document()
         self._testProcessSingleDoc(doc)
@@ -141,9 +104,36 @@ def testProcessSingleBlankDocs(self):
             response = self.client.post(self.ENDPOINT_PROCESS_SINGLE, json=payload)
             self.assertEqual(response.status_code, 200)
 
-            data = json.loads(response.get_data(as_text=True))
+            data = response.json()
             self.assertEqual(len(data["result"]["annotations"][0]), 0)
 
+    def testProcessBadRequest(self):
+        payload = {"content": {"bad_request": "NA"}}
+        response = self.client.post(self.ENDPOINT_PROCESS_SINGLE, json=payload)
+        self.assertEqual(response.status_code, 422)
+
+    def testProcessMetaAnnsFilter(self):
+        payload = {
+            "content": {
+                "text": "< some clinical text>"
+            },
+            "meta_anns_filters": [
+                ["Presence", ["True"]],
+                ["Subject", ["Patient", "Family"]],
+                ["Time", ["Recent"]]
+            ]
+        }
+
+        a_client = TestClient(app, raise_server_exceptions=False)
+        response = a_client.post(self.ENDPOINT_PROCESS_SINGLE, json=payload)
+        self.assertEqual(
+            response.status_code, 200,
+            """
+            This test currently shows that there is a bug with the meta anns filter.
+            Correct version should return 200.
+            KeyError: 'Presence' on all(e['meta_anns'][task]['vaue'] in filter_values"
+            """)
+
     def testProcessBulkBlankDocs(self):
         docs = common.get_blank_documents()
         payload = common.create_payload_content_from_doc_bulk(docs)
@@ -151,7 +141,7 @@ def testProcessBulkBlankDocs(self):
         response = self.client.post(self.ENDPOINT_PROCESS_BULK, json=payload)
         self.assertEqual(response.status_code, 200)
 
-        data = json.loads(response.get_data(as_text=True))
+        data = response.json()
         for res in data["result"]:
             self.assertEqual(len(res["annotations"]), 0)
 
diff --git a/medcat-service/medcat_service/types.py b/medcat-service/medcat_service/types.py
new file mode 100644
index 000000000..55beecb42
--- /dev/null
+++ b/medcat-service/medcat_service/types.py
@@ -0,0 +1,102 @@
+from datetime import datetime
+from typing import Dict, List, Optional, Tuple, Union
+
+from pydantic import BaseModel, Field
+from typing_extensions import Any, Literal
+
+from medcat_service.types_entities import Entity
+
+
+class HealthCheckResponse(BaseModel):
+    """
+    Using Eclipse MicroProfile health response schema
+    """
+
+    name: str
+    status: Literal["UP", "DOWN"]
+
+
+class HealthCheckResponseContainer(BaseModel):
+    status: Literal["UP", "DOWN"]
+    checks: list[HealthCheckResponse]
+
+
+class HealthCheckFailedException(Exception):
+    def __init__(self, reason: HealthCheckResponseContainer):
+        self.reason = reason
+
+
+class NoProtectedBaseModel(BaseModel, protected_namespaces=()):
+    pass
+
+
+class ModelCardInfo(NoProtectedBaseModel):
+    ontologies: Union[str, List[str], None]
+    meta_cat_model_names: list[str]
+    rel_cat_model_names: list[str]
+    model_last_modified_on: Optional[datetime]
+
+
+class ServiceInfo(NoProtectedBaseModel):
+    service_app_name: str
+    service_language: str
+    service_version: str
+    service_model: str
+    model_card_info: ModelCardInfo
+
+
+class ProcessAPIInputContent(BaseModel):
+    text: str = Field(examples=["Patient had been diagnosed with acute Kidney Failure the week before"])
+    footer: Optional[Union[str, Dict[str, Any]]] = None
+
+    class Config:
+        extra = "forbid"
+
+
+class ProcessAPIInput(BaseModel):
+    content: ProcessAPIInputContent
+    meta_anns_filters: Optional[List[Tuple[str, List[str]]]] = Field(default=None,
+                                                                     examples=[
+                                                                         [("Presence", ["True"]),
+                                                                          ("Subject", ["Patient", "Family"])]
+                                                                     ])
+    """
+    meta_anns_filters (List[Tuple[str, List[str]]]): List of task and filter values pairs to filter
+        entities by. Example: meta_anns_filters = [("Presence", ["True"]),
+        ("Subject", ["Patient", "Family"])] would filter entities where each
+        entity.meta_anns['Presence']['value'] is 'True' and
+        entity.meta_anns['Subject']['value'] is 'Patient' or 'Family'
+    """
+
+
+class BulkProcessAPIInput(BaseModel):
+    content: List[ProcessAPIInputContent]
+
+
+class ProcessResult(BaseModel):
+    text: str
+    # TODO: Any set as annotations has many different types
+    annotations: Union[List[Dict[str, Entity]], Any]
+    """
+        # e.g. [{"0": {...}}, {"1": {...}}]
+    """
+    success: bool
+    timestamp: str
+    elapsed_time: float
+    footer: Optional[Union[str, Dict[str, Any]]] = None
+
+
+class ProcessErrorsResult(BaseModel):
+    success: bool
+    timestamp: str
+    errors: List[str]
+
+
+class ProcessAPIResponse(BaseModel):
+    medcat_info: ServiceInfo
+    result: Union[ProcessResult, ProcessErrorsResult]
+
+
+class BulkProcessAPIResponse(BaseModel):
+    medcat_info: ServiceInfo
+    result: List[ProcessResult]
diff --git a/medcat-service/medcat_service/types_entities.py b/medcat-service/medcat_service/types_entities.py
new file mode 100644
index 000000000..8cbfdbb4d
--- /dev/null
+++ b/medcat-service/medcat_service/types_entities.py
@@ -0,0 +1,42 @@
+from typing_extensions import TypedDict
+
+# Duplicates from medcat/data/entities.py
+# These have been copied here and edited in order to fix the error:
+# "pydantic.errors.PydanticUserError: Please use `typing_extensions.TypedDict`
+#   instead of `typing.TypedDict` on Python < 3.12."
+
+
+class MetaAnnotation(TypedDict):
+    """
+    From medcat/data/entities.py
+    """
+
+    value: str
+    confidence: float
+    name: str
+
+
+class Entity(TypedDict, total=False):
+    """
+    From medcat/data/entities.py
+    """
+
+    pretty_name: str
+    cui: str
+    type_ids: list[str]
+    # types: list[str]# TODO: add back
+    source_value: str
+    detected_name: str
+    acc: float
+    context_similarity: float
+    start: int
+    end: int
+    # icd10: list[str]# TODO: add back
+    # ontologies: list[str]# TODO: add back
+    # snomed: list[str]# TODO: add back
+    id: int
+    meta_anns: dict[str, MetaAnnotation]
+    # optionals:
+    context_left: list[str]
+    context_center: list[str]
+    context_right: list[str]
diff --git a/medcat-service/models/examples/example-deid-model-pack.zip b/medcat-service/models/examples/example-deid-model-pack.zip
new file mode 100644
index 000000000..715659ce4
Binary files /dev/null and b/medcat-service/models/examples/example-deid-model-pack.zip differ
diff --git a/medcat-service/models/examples/example-medcat-v2-model-pack.zip b/medcat-service/models/examples/example-medcat-v2-model-pack.zip
new file mode 100644
index 000000000..fff1a6110
Binary files /dev/null and b/medcat-service/models/examples/example-medcat-v2-model-pack.zip differ
diff --git a/medcat-service/models/examples/examples.md b/medcat-service/models/examples/examples.md
index 89445110a..9a5239800 100644
--- a/medcat-service/models/examples/examples.md
+++ b/medcat-service/models/examples/examples.md
@@ -2,7 +2,13 @@
 
 ## [example-medcat-v1-model-pack][(models/examples/example-medcat-v1-model-pack.zip)
 - This model pack is built by running the MedCAT V1 Tutorial Part 3.1.
-- https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v1-tutorials/notebooks/introductory/Part_3_1_Building_a_Concept_Database_and_Vocabulary.ipynb
+- https://github.com/CogStack/cogstack-nlp/blob/main/v1/medcat-tutorials/notebooks/introductory/Part_3_1_Building_a_Concept_Database_and_Vocabulary.ipynb
 
 It isn't a trained model, but has the concepts "Kidney Failure" and "Failure of Kidneys" built in
 
+
+## [example-deid-model-pack](models/examples/example-deid-model.zip)
+- This is a deid model only for a single input text for testing.
+- Only understands PATIENT for deid in very limited cases
+- Trained using 10k synthetic data of just a few example sentences like "Patient {full} had been diagnosed with acute kidney failure the week before"
+
diff --git a/medcat-service/.ruff.toml b/medcat-service/pyproject.toml
similarity index 53%
rename from medcat-service/.ruff.toml
rename to medcat-service/pyproject.toml
index 4a52c445a..be23b6bc7 100644
--- a/medcat-service/.ruff.toml
+++ b/medcat-service/pyproject.toml
@@ -1,8 +1,9 @@
+[tool.ruff]
 line-length = 120
 indent-width = 4
 
-[lint]
-# 1. Enable flake8-bugbear (`B`) rules, in addition to the defaults.
+[tool.ruff.lint]
+# Enable flake8-bugbear (`B`) rules, in addition to the defaults.
 select = [
     # pycodestyle
     "E",
@@ -16,4 +17,9 @@ select = [
     "SIM",
     # isort
     "I",
-]
\ No newline at end of file
+]
+
+[tool.mypy]
+plugins = ["pydantic.mypy"]
+ignore_missing_imports = true
+strict = false
diff --git a/medcat-service/requirements.txt b/medcat-service/requirements.txt
index 6b31d46e7..8666e186f 100644
--- a/medcat-service/requirements.txt
+++ b/medcat-service/requirements.txt
@@ -1,12 +1,12 @@
-Flask==3.1.1
 gunicorn==23.0.0
-injector==0.22.0
-flask-injector==0.15.0
 setuptools==78.1.1
 simplejson==3.19.3
-werkzeug==3.1.3
 setuptools-rust==1.11.0
-medcat[meta-cat,spacy,deid] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.13.5#subdirectory=medcat-v2
+medcat[meta-cat,spacy,deid]~=2.2.0
 # pinned because of issues with de-id models and past models (it will not do any de-id)
 transformers>=4.34.0,<5.0.0
 requests==2.32.4
+fastapi[standard]==0.115.2
+pydantic==2.9.2
+pydantic-settings==2.10.1
+gradio==5.38.0
diff --git a/medcat-service/run_tests.sh b/medcat-service/run_tests.sh
index 87da6e5c4..7a714e449 100644
--- a/medcat-service/run_tests.sh
+++ b/medcat-service/run_tests.sh
@@ -10,16 +10,15 @@ python3 -m spacy download en_core_web_lg
 
 # download the test MedCAT model
 bash ./scripts/download_medmen.sh
-export APP_CDB_MODEL="$PWD/models/medmen/cdb.dat"
-export APP_VOCAB_MODEL="$PWD/models/medmen/vocab.dat"
+export APP_MODEL_CDB_PATH="$PWD/models/medmen/cdb.dat"
+export APP_MODEL_VOCAB_PATH="$PWD/models/medmen/vocab.dat"
 
 # proceed with the tests
 #
 echo "Starting the tests ..."
 
 # run the python tests
-python3 -m medcat_service.test.test_service
-
+python3 -m unittest discover -s medcat_service/test
 if [ "$?" -ne "0" ]; then
     echo "Error: one or more tests failed"
     exit 1
diff --git a/medcat-service/scripts/integration_test_functions.sh b/medcat-service/scripts/integration_test_functions.sh
index 9feaea3ba..b5c78ee8f 100644
--- a/medcat-service/scripts/integration_test_functions.sh
+++ b/medcat-service/scripts/integration_test_functions.sh
@@ -1,13 +1,13 @@
 smoketest_medcat_service() {
     local localhost_name="$1"
     local docker_compose_file="$2"
-
+    local port=${3:-5555}
     if [ -z "$localhost_name" ] || [ -z "$docker_compose_file" ]; then
         echo "Invalid arguments. Usage: health_check <localhost_name> <docker_compose_file>" >&2
         return 1
     fi
 
-    API="http://${localhost_name}:5555/api/info"
+    API="http://${localhost_name}:${port}/api/info"
 
     MAX_RETRIES=12
     RETRY_DELAY=5
@@ -40,13 +40,17 @@ smoketest_medcat_service() {
 
 integration_test_medcat_service() {
   local localhost_name=$1
-  local api="http://${localhost_name}:5555/api/process"
-  local input_text="The patient was diagnosed with Kidney Failure"
+  local port=${2:-5555}
+  local expected_annotation=${3:-Kidney Failure}
+
+  # Test /api/process
+  local api="http://${localhost_name}:${port}/api/process"
+  local input_text="Patient J. Smith had been diagnosed with acute kidney failure the week before"
   local input_payload="{\"content\":{\"text\":\"${input_text}\"}}"
-  local expected_annotation="Kidney Failure"
 
   echo "Calling POST $api with payload '$input_payload'"
   local actual
+
   actual=$(curl -s -X POST $api \
     -H 'Content-Type: application/json' \
     -d "$input_payload")
@@ -57,10 +61,56 @@ integration_test_medcat_service() {
   actual_annotation=$(echo "$actual" | jq -r '.result.annotations[0]["0"].pretty_name')
 
   if [[ "$actual_annotation" == "$expected_annotation" ]]; then
-    echo "Service working and extracting annotations"
+    echo "Service working and extracting annotations for Process API"
   else
     echo "Expected: $expected_annotation, Got: $actual_annotation"
     echo -e "Actual response was:\n${actual}"
-    exit 1
+    return 1
   fi
-}
\ No newline at end of file
+
+  # Test /api/process_bulk
+
+  local api="http://${localhost_name}:${port}/api/process_bulk"
+  local input_text="Patient J. Smith had been diagnosed with acute kidney failure the week before"
+  local input_payload="{\"content\": [{\"text\":\"${input_text}\"}]}"
+  local expected_annotation=${3:-Kidney Failure}
+
+  echo "Calling POST $api with payload '$input_payload'"
+  local actual
+
+ # Capture both body and HTTP code
+  response=$(curl -s -w "\n%{http_code}" -X POST "$api" \
+    -H 'Content-Type: application/json' \
+    -d "$input_payload")
+
+  # Split body and code
+  http_code=$(echo "$response" | tail -n1)
+  actual=$(echo "$response" | sed '$d')
+
+  echo "HTTP status: $http_code"
+  echo "Response body: '$actual'"
+
+  if [[ "$http_code" != "200" ]]; then
+    echo "ERROR: Expected HTTP 200, got $http_code"
+    echo -e "Actual response was:\n${actual}"
+    return 1
+  fi
+
+  if [[ "$expected_annotation" == "PATIENT" ]]; then
+     echo "CU-869a6wc6z Skipping Process_bulk annotation test for DeID Mode testing "
+     echo "Process_bulk in DeID mode has missing feature making it not return the annotations, just the deid text"
+     return 0
+  fi
+
+  local actual_annotation
+  actual_annotation=$(echo "$actual" | jq -r '.result[0].annotations[0]["0"].pretty_name')
+
+  if [[ "$actual_annotation" == "$expected_annotation" ]]; then
+    echo "Service working and extracting annotations for Process Bulk API"
+  else
+    echo "Expected: $expected_annotation, Got: $actual_annotation"
+    echo -e "Actual response was:\n${actual}"
+    return 1
+  fi
+
+}
diff --git a/medcat-service/scripts/test_examples.sh b/medcat-service/scripts/test_examples.sh
index 0c2bfa172..f97a3d43d 100644
--- a/medcat-service/scripts/test_examples.sh
+++ b/medcat-service/scripts/test_examples.sh
@@ -10,7 +10,7 @@ SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 
 
 cd ${SCRIPT_DIR}/../docker
-bash run_example_simple.sh
+bash run_example_simple.sh $1
 
 # Check if health check was successful
 if [ $? -eq 0 ]; then
diff --git a/medcat-service/start_service_debug.sh b/medcat-service/start_service_debug.sh
index 3b338b340..26852c465 100644
--- a/medcat-service/start_service_debug.sh
+++ b/medcat-service/start_service_debug.sh
@@ -1,21 +1,14 @@
 #!/bin/bash
+echo "Starting MedCAT Service"
 
-# check the gunicorn config params
-#
-if [ -z ${SERVER_HOST+x} ]; then
-  echo "SERVER_HOST is unset -- setting to default: 0.0.0.0";
-  SERVER_HOST=0.0.0.0;
-fi
+# Optional - Enable DeID mode with:
+#export APP_MEDCAT_MODEL_PACK="models/examples/example-deid-model-pack.zip"
+#export DEID_MODE=True
+#export DEID_REDACT=True
 
-if [ -z ${SERVER_PORT+x} ]; then
-  echo "SERVER_PORT is unset -- setting to default: 5000";
-  SERVER_PORT=5000;
+if [ -z "${APP_MODEL_CDB_PATH}" ] && [ -z "${APP_MODEL_VOCAB_PATH}" ] && [ -z "${APP_MEDCAT_MODEL_PACK}" ]; then
+  export APP_MEDCAT_MODEL_PACK="models/examples/example-medcat-v2-model-pack.zip"
+  echo "Using default model pack in  $APP_MEDCAT_MODEL_PACK"
 fi
 
-# start the server
-#
-echo "Running Flask development server"
-export FLASK_APP=wsgi.py
-export FLASK_DEBUG=true
-
-flask run --host $SERVER_HOST --port $SERVER_PORT
+fastapi dev medcat_service/main.py 
\ No newline at end of file
diff --git a/medcat-service/start_service_production.sh b/medcat-service/start_service_production.sh
index 2c20decf2..5009c521f 100644
--- a/medcat-service/start_service_production.sh
+++ b/medcat-service/start_service_production.sh
@@ -34,12 +34,21 @@ if [ -z ${SERVER_WORKER_TIMEOUT+x} ]; then
 fi
 
 
-SERVER_ACCESS_LOG_FORMAT="%(t)s [ACCESSS] %(h)s \"%(r)s\" %(s)s \"%(f)s\" \"%(a)s\""
+SERVER_ACCESS_LOG_FORMAT="%(t)s [ACCESS] %(h)s \"%(r)s\" %(s)s \"%(f)s\" \"%(a)s\""
 
 # start the server
 #
-echo "Starting up Flask app using gunicorn server ..."
-gunicorn --bind $SERVER_HOST:$SERVER_PORT --workers=$SERVER_WORKERS --threads=$SERVER_THREADS --timeout=$SERVER_WORKER_TIMEOUT \
-	 --access-logformat="$SERVER_ACCESS_LOG_FORMAT" --access-logfile=- --log-file=- --log-level info \
-	 --config /cat/config.py \
-  wsgi
+# Using Gunicorn, even though FastAPI recommends Uvicorn, to keep support for the post_fork config
+echo "Starting up the service using gunicorn server ..."
+exec gunicorn \
+  --bind "$SERVER_HOST:$SERVER_PORT" \
+  --workers="$SERVER_WORKERS" \
+  --threads="$SERVER_THREADS" \
+  --timeout="$SERVER_WORKER_TIMEOUT" \
+  --access-logformat="$SERVER_ACCESS_LOG_FORMAT" \
+  --access-logfile=- \
+  --error-logfile=- \
+  --log-level info \
+  --config /cat/config.py \
+  --worker-class uvicorn.workers.UvicornWorker \
+  medcat_service.main:app
diff --git a/medcat-service/wsgi.py b/medcat-service/wsgi.py
deleted file mode 100644
index 50148adf0..000000000
--- a/medcat-service/wsgi.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-This file is used to create a Flask application that will be served by a WSGI server
-"""
-from medcat_service.app import create_app
-
-application = create_app()
-
-if __name__ == '__main__':
-    application.run(host='0.0.0.0', port=5000)
diff --git a/medcat-trainer/.env-example b/medcat-trainer/.env-example
new file mode 100644
index 000000000..6f2d8034f
--- /dev/null
+++ b/medcat-trainer/.env-example
@@ -0,0 +1,6 @@
+# MedCAT
+SPACY_MODELS="en_core_web_sm en_core_web_md en_core_web_lg"
+
+# Ports
+MCTRAINER_PORT=8001
+SOLR_PORT=8983
\ No newline at end of file
diff --git a/medcat-trainer/.gitignore b/medcat-trainer/.gitignore
new file mode 100644
index 000000000..c87aa6e98
--- /dev/null
+++ b/medcat-trainer/.gitignore
@@ -0,0 +1,51 @@
+#Directories to be ignored fully
+/books/
+/articles/
+/other/
+/output/
+/graphics/
+/webapp/models/*
+data/
+tmp/
+*_tmp/
+.idea
+
+/webapp/frontend/dist/*
+/webapp/api/media/*
+/webapp/api/static/*
+
+# Configuration
+.env
+
+# Keep folders with this
+!.keep
+
+#tmp and similar files
+.nfs*
+*.pyc
+*.out
+*.swp
+*.swn
+tmp_*
+t_*
+tmp_*
+*_tmp
+*.swo
+*.lyx.emergency
+*.lyx#
+*~
+*.log
+*hidden*
+db.sqlite3
+nohup.out
+tmp.py
+
+# docs outputs
+docs/_build
+
+# macOS system files
+.DS_Store
+*/.DS_Store
+
+# Jupyter Notebook checkpoints
+*/.ipynb_checkpoints/*
diff --git a/medcat-trainer/.readthedocs.yaml b/medcat-trainer/.readthedocs.yaml
new file mode 100644
index 000000000..4bea1918f
--- /dev/null
+++ b/medcat-trainer/.readthedocs.yaml
@@ -0,0 +1,17 @@
+# .readthedocs.yaml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+version: 2
+
+build:
+  os: ubuntu-20.04
+  tools:
+    python: "3.9"
+
+sphinx:
+  configuration: medcat-trainer/docs/conf.py
+
+python:
+  install:
+    - requirements: medcat-trainer/docs/requirements.txt
diff --git a/medcat-trainer/.vscode/launch.json b/medcat-trainer/.vscode/launch.json
new file mode 100644
index 000000000..66557aad5
--- /dev/null
+++ b/medcat-trainer/.vscode/launch.json
@@ -0,0 +1,91 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+
+        
+        {
+            "name": "frontend",
+            "type": "node",
+            "request": "launch",
+            "cwd": "${workspaceFolder}/webapp/frontend",
+            "runtimeExecutable": "npm",
+            "runtimeArgs": [
+                "run",
+                "dev"
+            ],
+            "console": "integratedTerminal"
+        },
+        {
+            "name": "frontend build",
+            "type": "node",
+            "request": "launch",
+            "cwd": "${workspaceFolder}/webapp/frontend",
+            "runtimeExecutable": "npm",
+            "runtimeArgs": [
+                "run",
+                "build"
+            ],
+            "console": "integratedTerminal"
+        },
+        {
+            "name": "django shell",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "shell"
+            ],
+            "django": true
+        },
+        {
+            "name": "make migrations",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "makemigrations"
+            ],
+            "django": true
+        },
+        {
+            "name": "migrate",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "migrate"
+            ],
+            "django": true
+        },
+        {
+            "name": "run server",
+            "type": "debugpy",
+            "request": "launch",
+            "args": [
+                "runserver",
+                "0.0.0.0:8001"
+            ],
+            "env": {
+                "CONCEPT_SEARCH_SERVICE_HOST": "localhost"
+            },
+            "django": true,
+            "program": "${workspaceFolder}/webapp/api/manage.py"
+        },
+        {
+            "name": "process tasks",
+            "type": "debugpy",
+            "request": "launch",
+            "args": [
+                "process_tasks"
+            ],
+            "env": {
+                "CONCEPT_SEARCH_SERVICE_HOST": "localhost"
+            },
+            "django": true,
+            "program": "${workspaceFolder}/webapp/api/manage.py"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/medcat-trainer/CODE_OF_CONDUCT.md b/medcat-trainer/CODE_OF_CONDUCT.md
new file mode 100644
index 000000000..18c914718
--- /dev/null
+++ b/medcat-trainer/CODE_OF_CONDUCT.md
@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/medcat-trainer/LICENSE b/medcat-trainer/LICENSE
new file mode 100644
index 000000000..7a4a3ea24
--- /dev/null
+++ b/medcat-trainer/LICENSE
@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
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+      "License" shall mean the terms and conditions for use, reproduction,
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\ No newline at end of file
diff --git a/medcat-trainer/README.md b/medcat-trainer/README.md
new file mode 100644
index 000000000..bbc9d00c7
--- /dev/null
+++ b/medcat-trainer/README.md
@@ -0,0 +1,19 @@
+ # Medical <img src="https://github.com/CogStack/cogstack-nlp/blob/main/media/cat-logo.png?raw=true" width=45>oncept Annotation Tool Trainer
+
+MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
+
+[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml?query=branch%3Amain)
+[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml/badge.svg)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml)
+[![Documentation Status](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)
+[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat-trainer/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
+
+MedCATTrainer was presented at EMNLP/IJCNLP 2019 :tada:
+[here](https://www.aclweb.org/anthology/D19-3024.pdf)
+
+# Documentation and Discussion
+
+Official docs available [here](https://docs.cogstack.org/projects/medcat-trainer)
+
+If you have any questions why not reach out to the community [discourse forum here](https://discourse.cogstack.org/)
+
+
diff --git a/medcat-trainer/client/README.md b/medcat-trainer/client/README.md
new file mode 100644
index 000000000..d5d131325
--- /dev/null
+++ b/medcat-trainer/client/README.md
@@ -0,0 +1,88 @@
+
+---
+
+# MedCATtrainer Client
+
+A Python client for interacting with a MedCATTrainer web application instance. This package allows you to manage datasets, concept databases, vocabularies, model packs, users, projects, and more via Python code or the command line.
+
+## Features
+
+- Manage datasets, concept databases, vocabularies, and model packs
+- Create and manage users and projects
+- Retrieve and upload project annotations
+- Command-line interface (CLI) for automation
+
+## Installation
+
+```sh
+pip install mctclient
+```
+
+Or, if installing from source:
+
+```sh
+cd client
+python -m build
+pip install dist/*.whl
+```
+
+## Python Usage
+
+```sh
+export MCTRAINER_USERNAME=<username>
+export MCTRAINER_PASSWORD=<password>
+```
+
+```python
+from mctclient import MedCATTrainerSession, MCTDataset, MCTConceptDB, MCTVocab, MCTModelPack, MCTMetaTask, MCTRelTask, MCTUser, MCTProject
+
+# Connect to your MedCATTrainer instance
+session = MedCATTrainerSession(server="http://localhost:8001")
+
+# List all projects
+projects = session.get_projects()
+for project in projects:
+    print(project)
+
+# Create a new dataset
+dataset = session.create_dataset(name="My Dataset", dataset_file="path/to/data.csv")
+
+# Create a new user
+user = session.create_user(username="newuser", password="password123")
+
+# Create a new project
+project = session.create_project(
+    name="My Project",
+    description="A new annotation project",
+    members=[user],
+    dataset=dataset
+)
+```
+
+### MedCATTrainerSession Methods
+
+- `create_project(name, description, members, dataset, cuis=[], cuis_file=None, concept_db=None, vocab=None, cdb_search_filter=None, modelpack=None, meta_tasks=[], rel_tasks=[])`
+- `create_dataset(name, dataset_file)`
+- `create_user(username, password)`
+- `create_medcat_model(cdb, vocab)`
+- `create_medcat_model_pack(model_pack)`
+- `get_users()`
+- `get_models()`
+- `get_model_packs()`
+- `get_meta_tasks()`
+- `get_rel_tasks()`
+- `get_projects()`
+- `get_datasets()`
+- `get_project_annos(projects)`
+
+Each method returns the corresponding object or a list of objects.
+
+## License
+
+This project is licensed under the Apache 2.0 License.
+
+## Contributing
+
+Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.
+
+
diff --git a/medcat-v1/medcat/pipeline/__init__.py b/medcat-trainer/client/__init__.py
similarity index 100%
rename from medcat-v1/medcat/pipeline/__init__.py
rename to medcat-trainer/client/__init__.py
diff --git a/medcat-trainer/client/mctclient.py b/medcat-trainer/client/mctclient.py
new file mode 100644
index 000000000..591194190
--- /dev/null
+++ b/medcat-trainer/client/mctclient.py
@@ -0,0 +1,669 @@
+from dataclasses import dataclass
+from datetime import datetime
+import json
+import os
+from abc import ABC
+from typing import Any, Dict, List, Tuple, Union
+
+import requests
+
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class MCTObj(ABC):
+    id: Union[str, int]=None
+
+    def valid(self):
+        return self.id is not None
+
+
+@dataclass
+class MCTDataset(MCTObj):
+    """A dataset in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the dataset.
+        dataset_file (str): The path to the dataset file, can be a csv, or excel file, with at
+            least 2 columns: 'name': unique identifier for each text, and 'text': the text to be annotated.
+    """
+    name: str=None
+    dataset_file: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name} \t {self.dataset_file}'
+
+
+@dataclass
+class MCTDocument(MCTObj):
+    """A document in the MedCATTrainer instance.
+    Intentionally NOT including the text in here.
+
+    Attributes:
+        name (str): The name of the document.
+    """
+    name: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name}'
+
+
+@dataclass
+class MCTConceptDB(MCTObj):
+    """A concept database in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the concept database. Name must start with a lowercase letter and contain only alphanumeric characters and underscores.
+        conceptdb_file (str): The path to the concept database file, should be a <conceptdb_name>.dat file.
+        use_for_training (bool): Whether to use the concept database for training. Defaults to True as most uploaded CDBs will be used for training, unless they are used for the concept search lookup.
+    """
+    name: str=None
+    conceptdb_file: str=None
+    use_for_training: bool=True
+
+    def __post_init__(self):
+        if self.name is not None:
+            if not self.name.replace('_', '').replace('-', '').isalnum():
+                raise ValueError("Name must contain only alphanumeric characters and underscores")
+
+    def __str__(self):
+        return f'{getattr(self, "id", "N/A")} : {self.name} \t {self.conceptdb_file}'
+
+
+@dataclass
+class MCTVocab(MCTObj):
+    """A vocabulary in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the vocabulary.
+        vocab_file (str): The path to the vocabulary file, should be a <vocab_name>.dat file.
+    """
+    name: str=None
+    vocab_file: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.vocab_file}'
+
+
+@dataclass
+class MCTMetaTask(MCTObj):
+    """A meta task in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the meta task.
+    """
+    name: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name}'
+
+
+@dataclass
+class MCTRelTask(MCTObj):
+    """A relation extraction task in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the relation extraction task.
+    """
+    name: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name}'
+
+
+@dataclass
+class MCTModelPack(MCTObj):
+    """A model pack in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the model pack.
+        model_pack_zip (str): The path to the model pack zip file, should be a <modelpack_name>.zip file.
+    """
+    name: str=None
+    model_pack_zip: str=None
+    concept_db: MCTConceptDB=None
+    vocab: MCTVocab=None
+    meta_cats: List[MCTMetaTask]=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name} \t {self. model_pack_zip}'
+
+
+
+@dataclass
+class MCTUser(MCTObj):
+    """A user in the MedCATTrainer instance.
+
+    Attributes:
+        username (str): The username of the user.
+    """
+    username: str=None
+
+    def __str__(self):
+        return f'{self.id} : {self.username}'
+
+
+@dataclass
+class MCTProject(MCTObj):
+    """A project in the MedCATTrainer instance.
+
+    Attributes:
+        name (str): The name of the project.
+        description (str): The description of the project.
+        create_time (datetime): The date and time the project was created.
+        last_modified (datetime): The date and time the project was last modified.
+        cuis (str): The CUIs to be used in the project filter.
+        dataset (MCTDataset): The dataset to be used in the project.
+        annotation_classification (bool): Whether the project is an annotation classification project.
+        project_locked (bool): Whether the project is locked.
+        project_status (str): The status of the project. Active, Discontinued (Fail) or Complete.
+        deid_model_annotation (bool): Whether the project is a de-identification model annotation project.
+        concept_db (MCTConceptDB): The concept database to be used in the project.
+        vocab (MCTVocab): The vocabulary to be used in the project.
+        members (List[MCTUser]): The annotators for the project.
+        meta_tasks (List[MCTMetaTask]): The meta tasks for the project.
+        rel_tasks (List[MCTRelTask]): The relation extraction tasks for the project.
+    """
+    name: str=None
+    description: str=None
+    create_time: Union[datetime, str]=None
+    last_modified: Union[datetime, str]=None
+    cuis: str=None
+    dataset: MCTDataset=None
+    validated_documents: List[MCTDocument]=None
+    annotation_classification: bool=None
+    project_locked: bool=None
+    project_status: str='A'
+    deid_model_annotation: bool=False
+    concept_db: MCTConceptDB=None
+    vocab: MCTVocab=None
+    members: List[MCTUser]=None
+    meta_tasks: List[MCTMetaTask]=None
+    rel_tasks: List[MCTRelTask]=None
+
+    def __str__(self):
+        return f'{self.id} : {self.name} \t {self.description} \t {self.dataset}'
+
+
+
+class MedCATTrainerSession:
+    """Wrapper for the MedCATTrainer API.
+    This class provides a wrapper around the MedCATTrainer API, allowing for easy creation of projects, datasets, users, and models.
+
+    Attributes:
+        server (str): The server to connect to can also be set by an ENVVAR MCTRAINER_SERVER. Defaults to http://localhost:8001.
+        username (str): The username to connect to can also be set by an ENVVAR MCTRAINER_USERNAME.
+        password (str): The password to connect to can also be set by an ENVVAR MCTRAINER_PASSWORD.
+
+    Example:
+        Create a project with a concept database, vocabulary, dataset, and user.
+
+    >>> session = MedCATTrainerSession()
+    >>> ds = session.create_dataset(name='Test DS', dataset_file='<path_to_dataset>.csv')
+    >>> cdb_file = '<model_pack_path>/cdb.dat'
+    >>> vocab_file = '<model_pack_path>/vocab.dat'
+    >>> model_pack_zip = '<model_pack_path>.zip'
+    >>> # Create a concept database and vocabulary in the MCTrainer instance. This is the NER+L model only.
+    >>> cdb, vocab = session.create_medcat_model(MCTConceptDB(name='test_cdb', conceptdb_file=cdb_file),
+                                             MCTVocab(name='test_vocab', vocab_file=vocab_file))
+    >>> # OR Create a model pack in the MCTrainer instance, NER+L, plus any MetaCAT or RelCAT models packaged together.
+    >>> session.create_medcat_model_pack(MCTModelPack(name='test_model_pack', model_pack_zip=model_pack_zip))
+    >>> session.create_project(name='test-project', description='test-description', members=[MCTUser(username='test-user')], dataset=ds, concept_db=cdb, vocab=vocab)
+
+        A common interaction would be to create a project with a new dataset but existing concept database and vocabulary or Modelpack.
+    >>> projects = session.get_projects()
+    >>> ds = session.create_dataset(name='New Test DS', dataset_file='/Users/tom/phd/MedCATtrainer/notebook_docs/example_data/cardio.csv')
+    >>> # MCTObjects can be referenced by name or by the wrapper object.
+    >>> session.create_project(name='test-project', description='test-description', members=[MCTUser(username='test-user')], dataset=ds,
+    concept_db=MCTConceptDB(name='test_cdb'), vocab=MCTVocab(name='test_vocab'))
+
+        To download annotations for a project:
+    >>> projects = session.get_projects()
+    >>> annotations = session.get_project_annos(projects[0])
+    """
+
+    def __init__(self, server=None, username=None, password=None):
+        """Initialize the MedCATTrainerSession.
+
+        Args:
+            server (_type_, optional): _description_. Defaults to None.
+
+        Raises:
+            MCTUtilsException: _description_
+        """
+        self.username = username or os.getenv("MCTRAINER_USERNAME")
+        self.password = password or os.getenv("MCTRAINER_PASSWORD")
+        self.server = server or 'http://localhost:8001'
+
+        payload = {"username": self.username, "password": self.password}
+        resp = requests.post(f"{self.server}/api/api-token-auth/", json=payload)
+        if 200 <= resp.status_code < 300:
+            token = json.loads(resp.text)["token"]
+            self.headers = {
+                'Authorization': f'Token {token}',
+            }
+        else:
+            raise MCTUtilsException(f'Failed to login to MedCATtrainer instance running at: {self.server}')
+
+    def create_project(self, name: str,
+                       description: str,
+                       members: Union[List[MCTUser], List[str]],
+                       dataset: Union[MCTDataset, str],
+                       cuis: List[str]=[],
+                       cuis_file: str=None,
+                       deid_model_annotation: bool=False,
+                       annotation_classification: bool=False,
+                       concept_db: Union[MCTConceptDB, str]=None,
+                       vocab: Union[MCTVocab, str]=None,
+                       cdb_search_filter: Union[MCTConceptDB, str]=None,
+                       modelpack: Union[MCTModelPack, str]=None,
+                       meta_tasks: Union[List[MCTMetaTask], List[str]]=[],
+                       rel_tasks: Union[List[MCTRelTask], List[str]]=[]):
+        """Create a new project in the MedCATTrainer session.
+        Users, models, datasets etc. can be referred to by either their client wrapper object or their name, and the ID will be retrieved
+        then used to create the project. Most names have a unique constraint on them so for the majority of cases will not results in an error.
+
+        Only a concept_db and vocab pair, or a modelpack needs to be specified.
+
+        Setting a modelpack will also eventually automatically select meta tasks and rel tasks.
+
+        Args:
+            name (str): The name of the project.
+            description (str): The description of the project.
+            members (Union[List[MCTUser], List[str]]): The annotators for the project.
+            dataset (Union[MCTDataset, str]): The dataset to be used in the project.
+            cuis (List[str]): The CUIs to be used in the project filter.
+            cuis_file (str): The file containing the CUIs to be used in the project filter, will be appended to the cuis list.
+            annotation_classification (bool): Whether the project will contribute to a 'globally' fine-tuned model or not. Defaults to False.
+            concept_db (Union[MCTConceptDB, str], optional): The concept database to be used in the project. Defaults to None.
+            deid_model_annotation (bool): Whether the project is a de-identification model annotation project. Defaults to False.
+            vocab (Union[MCTVocab, str], optional): The vocabulary to be used in the project. Defaults to None.
+            cdb_search_filter (Union[MCTConceptDB, str], optional): _description_. Defaults to None.
+            modelpack (Union[MCTModelPack, str], optional): _description_. Defaults to None.
+            meta_tasks (Union[List[MCTMetaTask], List[str]], optional): _description_. Defaults to None.
+            rel_tasks (Union[List[MCTRelTask], List[str]], optional): _description_. Defaults to None.
+
+        Raises:
+            MCTUtilsException: If the project creation fails
+
+        Returns:
+            MCTProject: The created project
+        """
+
+        if all(isinstance(m, str) for m in members):
+            mct_members = [u for u in self.get_users() if u.username in members]
+            if len(mct_members) != len(members):
+                raise MCTUtilsException(f'Not all users found in MedCATTrainer instance: {members} requested, trainer members found: {mct_members}')
+            else:
+                members = mct_members
+
+        if isinstance(dataset, str):
+            try:
+                dataset = [d for d in self.get_datasets() if d.name == dataset].pop()
+            except IndexError:
+                raise MCTUtilsException(f'Dataset not found in MedCATTrainer instance: {dataset}')
+
+        if isinstance(concept_db, str):
+            try:
+                concept_db = [c for c in self.get_models()[0] if c.name == concept_db].pop()
+            except IndexError:
+                raise MCTUtilsException(f'Concept DB not found in MedCATTrainer instance: {concept_db}')
+
+        if isinstance(vocab, str):
+            try:
+                vocab = [v for v in self.get_models()[1] if v.name == vocab].pop()
+            except IndexError:
+                raise MCTUtilsException(f'Vocab not found in MedCATTrainer instance: {vocab}')
+
+        if isinstance(cdb_search_filter, str):
+            try:
+                cdb_search_filter = [c for c in self.get_concept_dbs() if c.name == cdb_search_filter].pop()
+            except IndexError:
+                raise MCTUtilsException(f'Concept DB not found in MedCATTrainer instance: {cdb_search_filter}')
+
+        if isinstance(modelpack, str):
+            try:
+                modelpack = [m for m in self.get_model_packs() if m.name == modelpack].pop()
+            except IndexError:
+                raise MCTUtilsException(f'Model pack not found in MedCATTrainer instance: {modelpack}')
+
+        if all(isinstance(m, str) for m in meta_tasks):
+            mct_meta_tasks = [m for m in self.get_meta_tasks() if m.name in meta_tasks]
+            if len(mct_meta_tasks) != len(meta_tasks):
+                raise MCTUtilsException(f'Not all meta tasks found in MedCATTrainer instance: {meta_tasks} requested, trainer meta tasks found: {mct_meta_tasks}')
+            else:
+                meta_tasks = mct_meta_tasks
+
+        if all(isinstance(r, str) for r in rel_tasks):
+            mct_rel_tasks = [r for r in self.get_rel_tasks() if r.name in rel_tasks]
+            if len(mct_rel_tasks) != len(rel_tasks):
+                raise MCTUtilsException(f'Not all rel tasks found in MedCATTrainer instance: {rel_tasks} requested, trainer rel tasks found: {mct_rel_tasks}')
+            else:
+                rel_tasks = mct_rel_tasks
+
+        if (concept_db or vocab) and modelpack:
+            raise MCTUtilsException('Cannot specify both concept_db/vocab and modelpack')
+
+        payload = {
+            'name': name,
+            'description': description,
+            'cuis': ','.join(cuis),
+            'dataset': dataset.id,
+            'members': [m.id for m in members],
+            'tasks': [mt.id for mt in meta_tasks],
+            'relations': [rt.id for rt in rel_tasks],
+            'annotation_classification': annotation_classification,
+            'deid_model_annotation': deid_model_annotation,
+        }
+
+        if concept_db and vocab:
+            payload['concept_db'] = concept_db.id
+            payload['vocab'] = vocab.id
+        elif modelpack:
+            payload['model_pack'] = modelpack.id
+
+        if cdb_search_filter:
+            payload['cdb_search_filter'] = [cdb_search_filter.id]
+
+        if cuis_file:
+            with open(cuis_file, 'rb') as f:
+                resp = requests.post(f'{self.server}/api/project-annotate-entities/', data=payload, files={'cuis_file': f}, headers=self.headers)
+        else:
+            resp = requests.post(f'{self.server}/api/project-annotate-entities/', data=payload, headers=self.headers)
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            return MCTProject(id=resp_json['id'], name=name, description=description, cuis=cuis,
+                              dataset=dataset, concept_db=concept_db, vocab=vocab, members=members,
+                              meta_tasks=meta_tasks, rel_tasks=rel_tasks,
+                              annotation_classification=annotation_classification,
+                              deid_model_annotation=deid_model_annotation)
+        else:
+            raise MCTUtilsException(f'Failed to create project with name: {name}', resp.text)
+
+    def create_dataset(self, name: str, dataset_file: str):
+        """Create a new dataset in the MedCATTrainer session.
+
+        Args:
+            name (str): The name of the dataset.
+            dataset_file (str): The path to the dataset file.
+
+        Raises:
+            MCTUtilsException: If the dataset creation fails
+
+        Returns:
+            MCTDataset: The created dataset
+        """
+        resp = requests.post(f'{self.server}/api/datasets/', headers=self.headers,
+                             data={'name': name},
+                             files={'original_file': open(dataset_file, 'rb')})
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            return MCTDataset(name=name, id=resp_json['id'])
+        else:
+            raise MCTUtilsException(f'Failed to create dataset with name: {name}', resp.text)
+
+    def create_user(self, username: str, password):
+        """Create a new user in the MedCATTrainer session.
+
+        Args:
+            username (str): The username of the new user.
+            password (str): The password of the new user.
+
+        Raises:
+            MCTUtilsException: If the user creation fails
+
+        Returns:
+            MCTUser: The created user
+        """
+        payload = {
+            'username': username,
+            'password': password
+        }
+        resp = requests.post(f'{self.server}/api/users/', json=payload, headers=self.headers)
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            return MCTUser(username=username, id=resp_json['id'])
+        else:
+            raise MCTUtilsException(f'Failed to create new user with username: {username}', resp.text)
+
+    def create_medcat_model(self, cdb:MCTConceptDB, vocab: MCTVocab):
+        """Create a new MedCAT cdb and vocab model in the MedCATTrainer session.
+
+        Args:
+            cdb (MCTConceptDB): The concept database to be created.
+            vocab (MCTVocab): The vocabulary to be created.
+
+        Raises:
+            MCTUtilsException: If the model creation fails
+        """
+        resp = requests.post(f'{self.server}/api/concept-dbs/', headers=self.headers,
+                             data={'name': cdb.name, 'use_for_training': cdb.use_for_training},
+                             files={'cdb_file': open(cdb.conceptdb_file, 'rb')})
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            cdb.id = resp_json['id']
+        else:
+            raise MCTUtilsException(f'Failed uploading MedCAT cdb model: {cdb}', resp.text)
+
+        resp = requests.post(f'{self.server}/api/vocabs/', headers=self.headers,
+                             data={'name': vocab.name},
+                             files={'vocab_file': open(vocab.vocab_file, 'rb')})
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            vocab.id = resp_json['id']
+        else:
+            raise MCTUtilsException(f'Failed uploading MedCAT vocab model: {vocab}', resp.text)
+
+        return cdb, vocab
+
+    def create_medcat_model_pack(self, model_pack: MCTModelPack):
+        """Create a new MedCAT model pack in the MedCATTrainer session.
+
+        Args:
+            model_pack (MCTModelPack): The model pack to be created.
+
+        Raises:
+            MCTUtilsException: If the model pack creation fails
+        """
+        resp = requests.post(f'{self.server}/api/modelpacks/', headers=self.headers,
+                             data={'name': model_pack.name},
+                             files={'model_pack': open(model_pack.model_pack_zip, 'rb')})
+        if 200 <= resp.status_code < 300:
+            resp_json = json.loads(resp.text)
+            model_pack.id = resp_json['id']
+        else:
+            raise MCTUtilsException(f'Failed uploading model pack: {model_pack.model_pack_zip}', resp.text)
+
+    def get_users(self) -> List[MCTUser]:
+        """Get all users in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTUser]: A list of all users in the MedCATTrainer instance
+        """
+        users = json.loads(requests.get(f'{self.server}/api/users/', headers=self.headers).text)['results']
+        return [MCTUser(id=u['id'], username=u['username']) for u in users]
+
+    def get_models(self) -> Tuple[List[str], List[str]]:
+        """Get all MedCAT cdb and vocab models in the MedCATTrainer instance.
+
+        Returns:
+            Tuple[List[MCTConceptDB], List[MCTVocab]]: A tuple of lists of all MedCAT cdb and vocab models in the MedCATTrainer instance
+        """
+        cdbs = json.loads(requests.get(f'{self.server}/api/concept-dbs/', headers=self.headers).text)['results']
+        vocabs = json.loads(requests.get(f'{self.server}/api/vocabs/', headers=self.headers).text)['results']
+        mct_cdbs = [MCTConceptDB(id=cdb['id'], name=cdb['name'], conceptdb_file=cdb['cdb_file']) for cdb in cdbs]
+        mct_vocabs = [MCTVocab(id=v['id'], name=v['name'], vocab_file=v['vocab_file']) for v in vocabs]
+        return mct_cdbs, mct_vocabs
+
+    def get_concept_dbs(self) -> List[MCTConceptDB]:
+        """Get all concept databases in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTConceptDB]: A list of all concept databases in the MedCATTrainer instance
+        """
+        cdbs = json.loads(requests.get(f'{self.server}/api/concept-dbs/', headers=self.headers).text)['results']
+        return [MCTConceptDB(id=cdb['id'], name=cdb['name'], conceptdb_file=cdb['cdb_file']) for cdb in cdbs]
+
+    def get_vocabs(self) -> List[MCTVocab]:
+        """Get all vocabularies in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTVocab]: A list of all vocabularies in the MedCATTrainer instance
+        """
+        vocabs = json.loads(requests.get(f'{self.server}/api/vocabs/', headers=self.headers).text)['results']
+        return [MCTVocab(id=v['id'], name=v['name'], vocab_file=v['vocab_file']) for v in vocabs]
+
+    def get_model_packs(self) -> List[MCTModelPack]:
+        """Get all MedCAT model packs in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTModelPack]: A list of all MedCAT model packs in the MedCATTrainer instance
+        """
+        resp = json.loads(requests.get(f'{self.server}/api/modelpacks/', headers=self.headers).text)['results']
+        mct_model_packs = [MCTModelPack(id=mp['id'], name=mp['name'], model_pack_zip=mp['model_pack'],
+                                        concept_db=MCTConceptDB(id=mp['concept_db']),
+                                        vocab=MCTVocab(id=mp['vocab']),
+                                        meta_cats=[MCTMetaTask(id=mt) for mt in mp['meta_cats']])
+                            for mp in resp]
+        return mct_model_packs
+
+    def get_meta_tasks(self) -> List[MCTMetaTask]:
+        """Get all MedCAT meta tasks that have been created in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTMetaTask]: A list of all MedCAT meta tasks in the MedCATTrainer instance
+        """
+        resp = json.loads(requests.get(f'{self.server}/api/meta-tasks/', headers=self.headers).text)['results']
+        mct_meta_tasks = [MCTMetaTask(name=mt['name'], id=mt['id']) for mt in resp]
+        return mct_meta_tasks
+
+    def get_rel_tasks(self) -> List[MCTRelTask]:
+        """Get all MedCAT relation tasks that have been created in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTRelTask]: A list of all MedCAT relation tasks in the MedCATTrainer instance
+        """
+        resp = json.loads(requests.get(f'{self.server}/api/relations/', headers=self.headers).text)['results']
+        mct_rel_tasks = [MCTRelTask(name=rt['label'], id=rt['id']) for rt in resp]
+        return mct_rel_tasks
+
+    def get_projects(self) -> List[MCTProject]:
+        """Get all MedCAT annotation projects that have been created in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTProject]: A list of all MedCAT annotation projects in the MedCATTrainer instance
+        """
+        resp = json.loads(requests.get(f'{self.server}/api/project-annotate-entities/', headers=self.headers).text)['results']
+        mct_projects = [MCTProject(id=p['id'], name=p['name'], description=p['description'], cuis=p['cuis'],
+                                    create_time=p['create_time'],
+                                    last_modified=p['last_modified'],
+                                    annotation_classification=p['annotation_classification'],
+                                    project_locked=p['project_locked'],
+                                    project_status=p['project_status'],
+                                    deid_model_annotation=p['deid_model_annotation'],
+                                    dataset=MCTDataset(id=p['id']),
+                                    validated_documents=[MCTDocument(id=d) for d in p['validated_documents']],
+                                    concept_db=MCTConceptDB(id=p['concept_db']),
+                                    vocab=MCTVocab(id=p['vocab']),
+                                    members=[MCTUser(id=u) for u in p['members']],
+                                    meta_tasks=[MCTMetaTask(id=mt) for mt in p['tasks']],
+                                    rel_tasks=[MCTRelTask(id=rt) for rt in p['relations']]) for p in resp]
+        return mct_projects
+
+    def get_datasets(self) -> List[MCTDataset]:
+        """Get all datasets that have been created in the MedCATTrainer instance.
+
+        Returns:
+            List[MCTDataset]: A list of all datasets in the MedCATTrainer instance
+        """
+        resp = json.loads(requests.get(f'{self.server}/api/datasets/', headers=self.headers).text)['results']
+        mct_datasets = [MCTDataset(name=d['name'], dataset_file=d['original_file'], id=d['id']) for d in resp]
+        return mct_datasets
+
+    def get_project_annos(self, projects: List[MCTProject]):
+        """Get the annotations for a list of projects.
+
+        Args:
+            projects (List[MCTProject]): A list of projects to get annotations for
+
+        Returns:
+            List[MCTProject]: A list of all projects with annotations
+        """
+        if any(p.id is None for p in projects):
+            raise MCTUtilsException('One or more project.id are None and all are required to download annotations')
+
+        resp = json.loads(requests.get(f'{self.server}/api/download-annos/?project_ids={",".join([str(p.id) for p in projects])}&with_text=1',
+                                       headers=self.headers).text)
+        return resp
+
+    def upload_projects_export(self, projects: Dict[str, Any],
+                               cdb: Union[MCTConceptDB, str]=None,
+                               vocab: Union[MCTVocab, str]=None,
+                               modelpack: Union[MCTModelPack, str]=None,
+                               import_project_name_suffix: str=' IMPORTED',
+                               cdb_search_filter: Union[MCTConceptDB, str]=None,
+                               members: Union[List[MCTUser], List[str]]=None,
+                               set_validated_docs: bool=False):
+        """Upload Trainer export as a list of projects to a MedCATTrainer instance.
+
+        Args:
+            projects (List[MCTProject]): A list of projects to upload
+            cdb (Union[MCTConceptDB, str]): The concept database to be used in the project - CDB name or the MCTCDB Object
+            vocab (Union[MCTVocab, str]): The vocabulary to be used in the project - Vocab name or the MCTVocab Object
+            modelpack (Union[MCTModelPack, str]): The model pack to be used in the project - ModelPack name or the MCTModelPack Object
+            import_project_name_suffix (str): The suffix to be added to the project name
+            cdb_search_filter (Union[MCTConceptDB, str]): The concept database to be used in the project - CDB name or the MCTCDB Object
+            members (Union[List[MCTUser], List[str]]): The annotators for the project - List of MCTUser objects or list of user names
+            set_validated_docs (bool): Whether to set the validated documents, e.g. their annotation submit status.
+        """
+        if isinstance(cdb, str):
+            cdb = [c for c in self.get_concept_dbs() if c.name == cdb].pop()
+        if isinstance(vocab, str):
+            vocab = [v for v in self.get_vocabs() if v.name == vocab].pop()
+        if isinstance(modelpack, str):
+            modelpack = [m for m in self.get_model_packs() if m.name == modelpack].pop()
+        if isinstance(cdb_search_filter, str):
+            cdb_search_filter = [c for c in self.get_concept_dbs() if c.name == cdb_search_filter].pop()
+        if members and all(isinstance(m, str) for m in members):
+            members = [m for m in self.get_users() if m.username in members]
+
+        payload = {
+            'exported_projects': projects,
+            'project_name_suffix': import_project_name_suffix,
+            'cdb_search_filter': cdb_search_filter.id if cdb_search_filter else None,
+            'members': [m.id for m in members] if members else None,
+            'import_project_name_suffix': import_project_name_suffix,
+            'set_validated_docs': set_validated_docs,
+        }
+
+        if cdb and vocab:
+            payload['cdb_id'] = cdb.id
+            payload['vocab_id'] = vocab.id
+        elif modelpack:
+            payload['modelpack_id'] = modelpack.id
+        else:
+            raise MCTUtilsException('No cdb, vocab, or modelpack provided, use a ')
+
+        resp = requests.post(f'{self.server}/api/upload-deployment/', headers=self.headers,
+                             json=payload)
+        if 200 <= resp.status_code < 300:
+            return resp.json()
+        else:
+            raise MCTUtilsException(f'Failed to upload projects export: {resp.text}')
+
+    def __str__(self) -> str:
+        return f'{self.server} \t {self.username} \t {self.password}'
+
+
+class MCTUtilsException(Exception):
+    """Base exception for MedCAT Trainer API errors"""
+    def __init__(self, message, original_exception=None):
+        self.message = message
+        self.original_exception = original_exception
+        super().__init__(self.message)
+
+    def __str__(self):
+        return f'{self.message} \n {self.original_exception}'
+
diff --git a/medcat-trainer/client/pyproject.toml b/medcat-trainer/client/pyproject.toml
new file mode 100644
index 000000000..13e69cbfa
--- /dev/null
+++ b/medcat-trainer/client/pyproject.toml
@@ -0,0 +1,18 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "medcattrainer-client"
+version = "1.2.0"
+description = "Python client for interacting with a MedCATTrainer instance"
+readme = "client/README.md"
+requires-python = ">=3.10"
+license = { file = "LICENSE" }
+authors = [{ name = "Tom Searle", email = "tom@cogstack.org" }]
+dependencies = ["requests"]
+
+[project.urls]
+Homepage = "https://github.com/CogStack/cogstack-nlp/"
+Documentation = "https://docs.cogstack.org/projects/medcat-trainer"
+Source = "https://github.com/CogStack/cogstack-nlp/"
diff --git a/medcat-trainer/client/tests/test_mctclient.py b/medcat-trainer/client/tests/test_mctclient.py
new file mode 100644
index 000000000..455417eea
--- /dev/null
+++ b/medcat-trainer/client/tests/test_mctclient.py
@@ -0,0 +1,701 @@
+import json
+import unittest
+from unittest.mock import patch, MagicMock
+from mctclient import (
+    MedCATTrainerSession, MCTDataset, MCTConceptDB, MCTVocab, MCTModelPack, MCTMetaTask, MCTRelTask, MCTUser, MCTProject
+)
+
+class TestMCTClient(unittest.TestCase):
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_session_get_projects(self, mock_get, mock_post):
+        # Mock authentication
+        mock_post.return_value = MagicMock(status_code=200, text='{"token": "abc"}')
+        # Mock get_projects with a real project structure
+        mock_project = {
+            "id": 1,
+            "name": "Test Project",
+            "description": "A test project",
+            "cuis": "C001,C002",
+            "create_time": "2021-01-01T00:00:00Z",
+            "last_modified": "2021-01-01T00:00:00Z",
+            "annotation_classification": False,
+            "project_locked": False,
+            "project_status": "Active",
+            "deid_model_annotation": False,
+            "validated_documents": [1000, 1010],
+            "dataset": 10,
+            "concept_db": 20,
+            "vocab": 30,
+            "members": [100, 101],
+            "tasks": [200],
+            "relations": [300]
+        }
+        mock_get.return_value = MagicMock(
+            status_code=200,
+            text=json.dumps({"results": [mock_project]})
+        )
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        projects = session.get_projects()
+        self.assertIsInstance(projects, list)
+        self.assertEqual(len(projects), 1)
+        project = projects[0]
+        self.assertIsInstance(project, MCTProject)
+        self.assertEqual(project.name, "Test Project")
+        self.assertEqual(project.description, "A test project")
+        self.assertEqual(project.cuis, "C001,C002")
+        self.assertIsInstance(project.dataset, MCTDataset)
+        self.assertIsInstance(project.concept_db, MCTConceptDB)
+        self.assertIsInstance(project.vocab, MCTVocab)
+        self.assertTrue(all(isinstance(m, MCTUser) for m in project.members))
+        self.assertTrue(all(isinstance(mt, MCTMetaTask) for mt in project.meta_tasks))
+        self.assertTrue(all(isinstance(rt, MCTRelTask) for rt in project.rel_tasks))
+
+    @patch('mctclient.requests.post')
+    def test_create_project(self, mock_post):
+        # Mock authentication
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/project-annotate-entities/'):
+                # Return a response with all fields needed for MCTProject
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({
+                        'id': '3',
+                        'name': 'My Project',
+                        'description': 'desc',
+                        'cuis': 'C001,C002',
+                        'dataset': '2',
+                        'concept_db': '20',
+                        'vocab': '30',
+                        'members': ['1'],
+                        'tasks': ['200'],
+                        'relations': ['300']
+                    }),
+                    json=lambda: {
+                        'id': '3',
+                        'name': 'My Project',
+                        'description': 'desc',
+                        'cuis': 'C001,C002',
+                        'dataset': '2',
+                        'concept_db': '20',
+                        'vocab': '30',
+                        'members': ['1'],
+                        'tasks': ['200'],
+                        'relations': ['300']
+                    }
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        user = MCTUser(id='1', username='testuser')
+        dataset = MCTDataset(id='2', name='TestDS', dataset_file='file.csv')
+        concept_db = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        meta_task = MCTMetaTask(id='200', name='TestMetaTask')
+        rel_task = MCTRelTask(id='300', name='TestRelTask')
+
+        project = session.create_project(
+            name='My Project',
+            description='desc',
+            cuis='C001,C002',
+            members=[user],
+            dataset=dataset,
+            concept_db=concept_db,
+            vocab=vocab,
+            meta_tasks=[meta_task],
+            rel_tasks=[rel_task]
+        )
+        self.assertIsInstance(project, MCTProject)
+        self.assertEqual(project.name, 'My Project')
+        self.assertEqual(project.description, 'desc')
+        self.assertEqual(project.cuis, 'C001,C002')
+        self.assertIsInstance(project.dataset, MCTDataset)
+        self.assertIsInstance(project.concept_db, MCTConceptDB)
+        self.assertIsInstance(project.vocab, MCTVocab)
+        self.assertEqual(project.members, [user])
+        self.assertEqual(project.meta_tasks, [meta_task])
+        self.assertEqual(project.rel_tasks, [rel_task])
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_cdb_vocab_objects(self, mock_get, mock_post):
+        """Test upload_projects_export with cdb and vocab objects"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 2}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+
+        projects = [{"id": 1, "name": "Project 1"}, {"id": 2, "name": "Project 2"}]
+
+        result = session.upload_projects_export(projects, cdb=cdb, vocab=vocab)
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_cdb_vocab_strings(self, mock_get, mock_post):
+        """Test upload_projects_export with cdb and vocab as strings"""
+        # Mock get_concept_dbs and get_vocabs responses
+        def get_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/concept-dbs/'):
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({"results": [{"id": "20", "name": "testCDB", "cdb_file": "cdb.dat"}]})
+                )
+            elif url.endswith('/api/vocabs/'):
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({"results": [{"id": "30", "name": "testVocab", "vocab_file": "vocab.dat"}]})
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_get.side_effect = get_side_effect
+
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(projects, cdb="testCDB", vocab="testVocab")
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_modelpack_object(self, mock_get, mock_post):
+        """Test upload_projects_export with modelpack object"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        modelpack = MCTModelPack(id='40', name='testModelPack', model_pack_zip='model.zip')
+
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(projects, modelpack=modelpack)
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'modelpack_id': '40',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_modelpack_string(self, mock_get, mock_post):
+        """Test upload_projects_export with modelpack as string"""
+        # Mock get_model_packs response
+        def get_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/modelpacks/'):
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({"results": [{"id": "40", "name": "testModelPack", "model_pack": "model.zip", "concept_db": "20", "vocab": "30", "meta_cats": ["200"]}]})
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_get.side_effect = get_side_effect
+
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(projects, modelpack="testModelPack")
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'modelpack_id': '40',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    def test_upload_projects_export_no_cdb_vocab_modelpack(self, mock_post):
+        """Test upload_projects_export raises exception when no cdb/vocab/modelpack provided"""
+        # Mock authentication
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        with self.assertRaises(Exception) as context:
+            session.upload_projects_export(projects)
+
+        self.assertIn('No cdb, vocab, or modelpack provided', str(context.exception))
+
+    @patch('mctclient.requests.post')
+    def test_upload_projects_export_api_failure(self, mock_post):
+        """Test upload_projects_export handles API failure"""
+        # Mock authentication and failed upload response
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=400,
+                    text='{"error": "Bad request"}'
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        with self.assertRaises(Exception) as context:
+            session.upload_projects_export(projects, cdb=cdb, vocab=vocab)
+
+        self.assertIn('Failed to upload projects export', str(context.exception))
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_custom_suffix(self, mock_get, mock_post):
+        """Test upload_projects_export with custom import_project_name_suffix"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            import_project_name_suffix=' - CUSTOM SUFFIX'
+        )
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' - CUSTOM SUFFIX',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' - CUSTOM SUFFIX',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_cdb_search_filter_object(self, mock_get, mock_post):
+        """Test upload_projects_export with cdb_search_filter as MCTConceptDB object"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        cdb_search_filter = MCTConceptDB(id='25', name='searchFilterCDB', conceptdb_file='filter.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            cdb_search_filter=cdb_search_filter
+        )
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': '25',
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_cdb_search_filter_string(self, mock_get, mock_post):
+        """Test upload_projects_export with cdb_search_filter as string name"""
+        # Mock get_concept_dbs response
+        def get_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/concept-dbs/'):
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({"results": [
+                        {"id": "20", "name": "testCDB", "cdb_file": "cdb.dat"},
+                        {"id": "25", "name": "searchFilterCDB", "cdb_file": "filter.dat"}
+                    ]})
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_get.side_effect = get_side_effect
+
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            cdb_search_filter="searchFilterCDB"
+        )
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': '25',
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_members_objects(self, mock_get, mock_post):
+        """Test upload_projects_export with members as list of MCTUser objects"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        members = [MCTUser(id='100', username='user1'), MCTUser(id='101', username='user2')]
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            members=members
+        )
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': ['100', '101'],
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_with_members_strings(self, mock_get, mock_post):
+        """Test upload_projects_export with members as list of string usernames"""
+        # Mock get_users response
+        def get_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/users/'):
+                return MagicMock(
+                    status_code=200,
+                    text=json.dumps({"results": [
+                        {"id": "100", "username": "user1"},
+                        {"id": "101", "username": "user2"}
+                    ]})
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_get.side_effect = get_side_effect
+
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            members=["user1", "user2"]
+        )
+
+        # Verify the API call was made correctly
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': ['100', '101'],
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+    @patch('mctclient.requests.post')
+    @patch('mctclient.requests.get')
+    def test_upload_projects_export_handles_none_parameters(self, mock_get, mock_post):
+        """Test upload_projects_export handles None values for optional parameters gracefully"""
+        # Mock authentication and upload responses
+        mock_upload_response = {"status": "success", "uploaded_projects": 1}
+
+        def post_side_effect(url, *args, **kwargs):
+            if url.endswith('/api/api-token-auth/'):
+                return MagicMock(status_code=200, text='{"token": "abc"}')
+            elif url.endswith('/api/upload-deployment/'):
+                return MagicMock(
+                    status_code=200,
+                    json=lambda: mock_upload_response
+                )
+            else:
+                return MagicMock(status_code=404, text='')
+
+        mock_post.side_effect = post_side_effect
+
+        session = MedCATTrainerSession(server='http://localhost', username='u', password='p')
+        cdb = MCTConceptDB(id='20', name='testCDB', conceptdb_file='cdb.dat')
+        vocab = MCTVocab(id='30', name='testVocab', vocab_file='vocab.dat')
+        projects = [{"id": 1, "name": "Project 1"}]
+
+        # This test verifies that the implementation properly handles None values
+        result = session.upload_projects_export(
+            projects,
+            cdb=cdb,
+            vocab=vocab,
+            cdb_search_filter=None,  # This should be handled gracefully
+            members=None  # This should be handled gracefully
+        )
+
+        # Verify the API call was made correctly with None values
+        mock_post.assert_called_with(
+            f'{session.server}/api/upload-deployment/',
+            headers=session.headers,
+            json={
+                'exported_projects': projects,
+                'project_name_suffix': ' IMPORTED',
+                'cdb_id': '20',
+                'vocab_id': '30',
+                'cdb_search_filter': None,
+                'members': None,
+                'import_project_name_suffix': ' IMPORTED',
+                'set_validated_docs': False
+            }
+        )
+        self.assertEqual(result, mock_upload_response)
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file
diff --git a/medcat-trainer/configs/base.txt b/medcat-trainer/configs/base.txt
new file mode 100644
index 000000000..418f28af8
--- /dev/null
+++ b/medcat-trainer/configs/base.txt
@@ -0,0 +1,14 @@
+cat.linking.optim = {'type': 'standard', 'lr': 0.1}
+cat.linking.filter_before_disamb = True
+# 20 - INFO; 10 - DEBUG
+cat.general.log_level = 20
+# Recommended is to have this one negative
+cat.linking.similarity_threshold = -5
+# And this one to be used as the real th
+cat.linking.similarity_threshold_trainer = -5
+# Used for limiting the number of occ of a concept in a project
+cat.general.cui_count_limit = 100000000
+# Is unlink full
+cat.general.full_unlink = False
+# use this spacy model
+cat.general.spacy_model = 'en_core_web_md'
diff --git a/medcat-trainer/docker-compose-dev.yml b/medcat-trainer/docker-compose-dev.yml
new file mode 100644
index 000000000..3beaa9c49
--- /dev/null
+++ b/medcat-trainer/docker-compose-dev.yml
@@ -0,0 +1,77 @@
+# Dev compose yml file for building, running and mounting local git cloned repo.
+
+services:
+  medcattrainer:
+    build:
+      network: host
+      context: ./webapp
+      args:
+        SPACY_MODELS: ${SPACY_MODELS:-en_core_web_md}
+    restart: always
+    networks:
+      - gateway-auth_gateway-net
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./webapp/api/core:/home/api/core
+      - ./webapp/api/api:/home/api/api
+      - ./webapp/scripts:/home/scripts
+      - ./configs:/home/configs
+      - ./supervisord.conf:/etc/supervisord.conf
+    env_file:
+      - ./envs/env
+    environment:
+      - MCT_VERSION=latest
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    networks:
+      - gateway-auth_gateway-net
+    env_file:
+      - ./envs/env
+    ports:
+      - ${MCTRAINER_PORT:-8001}:8000
+    depends_on:
+      - medcattrainer
+      - solr
+    labels:
+      - "traefik.enable=true"
+      - "traefik.http.routers.nginx.rule=Host(`${NGINX_HOST:-medcattrainer.cogstack.localhost}`)"
+      - "traefik.http.routers.nginx.entrypoints=web"
+      - "traefik.http.services.nginx.loadbalancer.server.port=8000"
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env
+    ports:
+      - ${SOLR_PORT:-8983}:8983
+    volumes:
+      - solr-data:/var/solr
+    networks:
+      - gateway-auth_gateway-net
+    command:
+      - -cloud
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
+
+networks:
+  gateway-auth_gateway-net:
+    external: true
+
diff --git a/medcat-trainer/docker-compose-example-postgres.yml b/medcat-trainer/docker-compose-example-postgres.yml
new file mode 100644
index 000000000..1f4dfa605
--- /dev/null
+++ b/medcat-trainer/docker-compose-example-postgres.yml
@@ -0,0 +1,83 @@
+# Default compose yml file - uses latest build of MedCATtrainer services. Default passwords and example
+# projects are not used.
+services:
+  # medattrainer services
+  medcattrainer:
+    image: cogstacksystems/medcat-trainer:latest
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./configs:/home/configs
+      - ./supervisord.conf:/etc/supervisord.conf
+    env_file:
+      - ./envs/env
+    environment:
+      - MCT_VERSION=latest
+      - DB_ENGINE=postgresql
+      - DB_NAME=postgres
+      - DB_USER=admin
+      - DB_PASSWORD=admin
+      - DB_HOST=trainer-postgres
+      - DB_PORT=5432
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env
+    ports:
+      - ${MCTRAINER_PORT:-8001}:8000
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env
+    ports:
+      - ${SOLR_PORT:-8983}:8983
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud
+  trainer-postgres:
+    image: postgres:17.6-alpine
+    restart: always
+    environment:
+      - POSTGRES_USER=admin
+      - POSTGRES_PASSWORD=admin
+    volumes:
+      - postgres-vol:/var/lib/postgresql/data
+    ports:
+      - 5432:5432
+  pgadmin:
+    image: dpage/pgadmin4:9.8
+    environment:
+      PGADMIN_DEFAULT_EMAIL: admin@admin.com
+      PGADMIN_DEFAULT_PASSWORD: admin
+      PGADMIN_LISTEN_PORT: 80
+    ports:
+      - 15432:80
+    volumes:
+      - pgadmin:/var/lib/pgadmin
+    depends_on:
+      - trainer-postgres
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
+  postgres-vol:
\ No newline at end of file
diff --git a/medcat-trainer/docker-compose-mc0x.yml b/medcat-trainer/docker-compose-mc0x.yml
new file mode 100644
index 000000000..14e8fa5f9
--- /dev/null
+++ b/medcat-trainer/docker-compose-mc0x.yml
@@ -0,0 +1,35 @@
+version: '3.4'
+
+# Compose file yml for MedCAT v0.x models. This is a legacy compose services config for older MedCAT models.
+
+services:
+  medcattrainer:
+    container_name: medcattrainer
+    hostname: medcat
+    restart: always
+    image: cogstacksystems/medcat-trainer:mc-v0.x-latest
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+    expose:
+      - "8000"
+    env_file:
+      - ./envs/env-mc0x
+    command: /home/run.sh
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    ports:
+      - "${MCTRAINER_PORT:-8001}:8000"
+    depends_on:
+      - medcattrainer
+volumes:
+  api-media:
+  api-static:
+  api-db:
diff --git a/medcat-trainer/docker-compose-prod.yml b/medcat-trainer/docker-compose-prod.yml
new file mode 100644
index 000000000..308ad0382
--- /dev/null
+++ b/medcat-trainer/docker-compose-prod.yml
@@ -0,0 +1,57 @@
+# Prod compose file -
+
+services:
+  medcattrainer:
+    container_name: medcattrainer
+    hostname: medcat
+    restart: always
+    image: cogstacksystems/medcat-trainer:v3.1.0
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./supervisord.conf:/etc/supervisord.conf
+      - ./configs:/home/configs
+    env_file:
+      - ./envs/env-prod
+    environment:
+      - MCT_VERSION=v3.1.0
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    container_name: medcattrainer_nginx
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env-prod
+    ports:
+      - "${MCTRAINER_PORT:-8001}:8000"
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env-prod
+    expose:
+      - "8983"
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud # solr cloud launches
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
diff --git a/medcat-trainer/docker-compose.yml b/medcat-trainer/docker-compose.yml
new file mode 100644
index 000000000..1d997993c
--- /dev/null
+++ b/medcat-trainer/docker-compose.yml
@@ -0,0 +1,56 @@
+# Default compose yml file - uses latest build of MedCATtrainer services. Default passwords and example
+# projects are not used.
+
+services:
+  # medattrainer services
+  medcattrainer:
+    image: cogstacksystems/medcat-trainer:v3.1.0
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./configs:/home/configs
+      - ./supervisord.conf:/etc/supervisord.conf
+    env_file:
+      - ./envs/env
+    environment:
+      - MCT_VERSION=v3.1.0
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env
+    ports:
+      - ${MCTRAINER_PORT:-8001}:8000
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env
+    ports:
+      - ${SOLR_PORT:-8983}:8983
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
diff --git a/medcat-v1/docs/Makefile b/medcat-trainer/docs/Makefile
similarity index 100%
rename from medcat-v1/docs/Makefile
rename to medcat-trainer/docs/Makefile
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new file mode 100644
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--- /dev/null
+++ b/medcat-trainer/docs/_static/css/overrides.css
@@ -0,0 +1,24 @@
+
+.wy-side-nav-search {
+  background: #0072CE; /* NHS Blue */
+}
+
+.wy-side-scroll {
+  background: #E8EDEE; /* NHS Pale Grey */
+}
+
+.wy-menu-vertical a {
+  color: #212B32; /* primary text: NHS Dark Grey */
+}
+
+.wy-menu-vertical a:hover {
+  color: white;
+}
+
+.wy-side-nav-search .wy-dropdown>a img.logo, .wy-side-nav-search>a img.logo {
+  max-width: 50px;
+}
+
+.wy-nav-content {
+  max-width: 1200px !important;
+}
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diff --git a/medcat-trainer/docs/admin_setup.md b/medcat-trainer/docs/admin_setup.md
new file mode 100644
index 000000000..e25f739d1
--- /dev/null
+++ b/medcat-trainer/docs/admin_setup.md
@@ -0,0 +1,25 @@
+# Administrator Setup
+
+1\.  The container runs a vanilla [django](https://www.djangoproject.com/) app, that upon initially loaded
+will create a defaulted administrator user with details:
+
+<pre>
+    username: admin
+    password: admin
+</pre>
+
+2\. We strongly recommend creating a new admin user before using the trainer in 'production' and storing sensitive
+clinical documents on the trainer. To add a new user navigate to select `http://localhost:8001/admin/` and select 'Users'.
+
+![](_static/img/users-select.png)
+
+3\. Select 'Add User' and complete the form with a new username / password.
+
+![](_static/img/add-new-users.png)
+
+4\. Once created, select the new user, and tick the 'Staff Status' or 'Superuser Status' to allow the user to
+access the admin app.
+
+5\. Remove the default admin user by navigating to step 2, select the user and the action
+
+![](_static/img/remove-default-user.png)
diff --git a/medcat-trainer/docs/advanced_usage.md b/medcat-trainer/docs/advanced_usage.md
new file mode 100644
index 000000000..60bb35b3d
--- /dev/null
+++ b/medcat-trainer/docs/advanced_usage.md
@@ -0,0 +1,3 @@
+# Advanced Usage
+
+- ReST API Usage for bulk dataset / project creation: available in: docs/API_Examples.ipynb
\ No newline at end of file
diff --git a/medcat-trainer/docs/annotator_guide.md b/medcat-trainer/docs/annotator_guide.md
new file mode 100644
index 000000000..981b3e1ed
--- /dev/null
+++ b/medcat-trainer/docs/annotator_guide.md
@@ -0,0 +1,72 @@
+# Annotation Interface
+
+The annotation interface can be split into 5 sections.
+
+![](_static/img/main-annotation-interface.png)
+
+## Section 1 - Document Summary List
+A list of documents to be completed in this project. Currently selected documents are highlighted in blue
+left border. Submitted documents are marked with a ![tick_mark](_static/img/tick_mark.png).
+
+## Section 2 - Clinical Text
+The selected documents text, highlighted with each concept recognised by the configured MedCAT model.
+Highlighted spans of text indicate status of the annotation:
+- Grey: A User has *not reviewed* this span that has been recognised and linked by MedCAT to a CDB concept.
+- Blue: A User has reviewed the span and marked it as ***correct*** in terms of its linked MedCAT concept.
+- Red: A User has reviewed the span and marked it as **incorrect** in terms of its linked MedCAT concept.
+- Dark Red: A User has reviewed the span and marked it to **terminate**, meaning the text span should never again
+  link to this text span, this informs MedCAT that
+- Turqoise: A User has reviewed the span and marked it as an  **alternative** linked concept. The user has used the
+  'Concept Picker' to choose the correct concept that should be linked.
+
+### Additional Annotations
+MedCAT may miss text spans that are acronyms, abbreviations or misspellings of concepts. Missing annotations can be
+added to the text by directly highlighting the text span, right clicking, selecting 'Add Term', searching for
+concept (via ID, or name), and selecting Add Term:
+
+![](_static/img/add-annotation-text.png) -> ![](_static/img/add-annotation-menu.png) -> ![](_static/img/add-annotation-concept-pick.png)
+
+Select:
+- Add Term: to add this annotation to the text span and link the selected concept
+- Cancel: (Shortcut esc): to cancel adding the annotation to the text.
+
+![](_static/img/add-annotation-select-concept.png)
+
+## Section 3 - Action Bar
+
+### Concept Navigation
+Navigating between the list of concepts as they appear in the document:
+- Action buttons, left and right
+- Left and right arrow keys on keyboard
+- Directly clicking on the concept within the text.
+
+
+### Concept Status Buttons
+A concept can be marked with only one status. Status is recorded but only sent to MedCAT for
+training on **submit** of the document and if the projects configured with "Train Model On Submit" is ticked.
+
+### Submit Button
+Submit is disabled until all concepts have been reviewed and marked with a status. Clicking submit will produce  
+a submission confirmation dialog with an annotation summary. Confirming submission will send all new annotations
+to MedCATTrainer middle tier, and re-train the MedCAT model. The following document will be selected and annotated
+by the newly trained MedCAT model
+
+## Section 4 - Header Toolbar
+Lists the current name of the document under review and the number of remaining documents to annotate in this project
+action buttons for:
+- ![](_static/img/summary-button.png): Summary of current annotations. f A similar view is shown before confirmation of submission of the annotations
+- ![](_static/img/help-button.png): Help dialog, showing shortcuts for document & concept navigation, concept annotation and submission.
+- ![](_static/img/reset-button.png): Reset document. If an annotation is incorrectly added, or incorrectly submitted resetting the document will
+  clear all previous annotations and their status.
+
+## Section 5 - Concept Summary
+Lists the current selected concepts details.
+
+|Concept Detail| Description |
+|--------------| ------------|
+|Annotated Text| The text span linked to the concept|
+|Name          | The linked concept name from within the MedCAT CDB|
+|Type ID       | The higher level group of concepts that this concept sits under. This may be 'N/A' depending if your CDB has Type IDs or not.|
+|Concept ID    | The unique identifier for this linked concept from the MedCAT CDB.|
+|Accuracy      | The MedCAT found accuracy of the linked concept for this span. Text spans will have an accuracy 1.0, if they are uniquely identified by that name in the CDB|
+|Description   | The MedCAT associated description of the concept. SNOMED-CT does not provide descriptions of concepts, only alternative names whereas UMLS does provide descriptions|
\ No newline at end of file
diff --git a/medcat-trainer/docs/client.md b/medcat-trainer/docs/client.md
new file mode 100644
index 000000000..d5d131325
--- /dev/null
+++ b/medcat-trainer/docs/client.md
@@ -0,0 +1,88 @@
+
+---
+
+# MedCATtrainer Client
+
+A Python client for interacting with a MedCATTrainer web application instance. This package allows you to manage datasets, concept databases, vocabularies, model packs, users, projects, and more via Python code or the command line.
+
+## Features
+
+- Manage datasets, concept databases, vocabularies, and model packs
+- Create and manage users and projects
+- Retrieve and upload project annotations
+- Command-line interface (CLI) for automation
+
+## Installation
+
+```sh
+pip install mctclient
+```
+
+Or, if installing from source:
+
+```sh
+cd client
+python -m build
+pip install dist/*.whl
+```
+
+## Python Usage
+
+```sh
+export MCTRAINER_USERNAME=<username>
+export MCTRAINER_PASSWORD=<password>
+```
+
+```python
+from mctclient import MedCATTrainerSession, MCTDataset, MCTConceptDB, MCTVocab, MCTModelPack, MCTMetaTask, MCTRelTask, MCTUser, MCTProject
+
+# Connect to your MedCATTrainer instance
+session = MedCATTrainerSession(server="http://localhost:8001")
+
+# List all projects
+projects = session.get_projects()
+for project in projects:
+    print(project)
+
+# Create a new dataset
+dataset = session.create_dataset(name="My Dataset", dataset_file="path/to/data.csv")
+
+# Create a new user
+user = session.create_user(username="newuser", password="password123")
+
+# Create a new project
+project = session.create_project(
+    name="My Project",
+    description="A new annotation project",
+    members=[user],
+    dataset=dataset
+)
+```
+
+### MedCATTrainerSession Methods
+
+- `create_project(name, description, members, dataset, cuis=[], cuis_file=None, concept_db=None, vocab=None, cdb_search_filter=None, modelpack=None, meta_tasks=[], rel_tasks=[])`
+- `create_dataset(name, dataset_file)`
+- `create_user(username, password)`
+- `create_medcat_model(cdb, vocab)`
+- `create_medcat_model_pack(model_pack)`
+- `get_users()`
+- `get_models()`
+- `get_model_packs()`
+- `get_meta_tasks()`
+- `get_rel_tasks()`
+- `get_projects()`
+- `get_datasets()`
+- `get_project_annos(projects)`
+
+Each method returns the corresponding object or a list of objects.
+
+## License
+
+This project is licensed under the Apache 2.0 License.
+
+## Contributing
+
+Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.
+
+
diff --git a/medcat-trainer/docs/conf.py b/medcat-trainer/docs/conf.py
new file mode 100644
index 000000000..bdd55355a
--- /dev/null
+++ b/medcat-trainer/docs/conf.py
@@ -0,0 +1,88 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+import sys
+sys.path.insert(0, os.path.abspath('.'))
+
+
+# -- Project information -----------------------------------------------------
+
+project = 'MedCATtrainer'
+copyright = '2022, CogStack Org'
+author = 'CogStack Org'
+
+# The full version, including alpha/beta/rc tags
+release = 'latest'
+
+
+# -- General configuration ---------------------------------------------------
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    'sphinx_rtd_theme',
+    'sphinx.ext.autodoc',
+    'myst_parser',
+    'sphinx.ext.inheritance_diagram',
+    'autoapi.extension',
+]
+
+autoapi_type = 'python'
+autoapi_dirs = ['../webapp/api/api']
+autodoc_typehints = 'description'
+autoapi_template_dir = '_templates/autoapi_templates'
+
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
+
+source_suffix = {
+    '.rst': 'restructuredtext',
+    '.txt': 'markdown',
+    '.md': 'markdown',
+}
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'sphinx_rtd_theme'
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+html_css_files = [
+    'css/overrides.css'
+]
+
+def autoapi_skip_member(app, what, name, obj, skip, options):
+    # skip:
+    #   log class attributes
+    #   'private' methods, attributes, functions
+    exclude = (what == 'attribute' and name == 'log') or \
+        (name.startswith('_') and not name.startswith('__'))
+    return exclude
+
+
+def setup(app):
+    """Add autoapi-skip-member."""
+    app.connect('autoapi-skip-member', autoapi_skip_member)
diff --git a/medcat-trainer/docs/demo_page.md b/medcat-trainer/docs/demo_page.md
new file mode 100644
index 000000000..e4f653725
--- /dev/null
+++ b/medcat-trainer/docs/demo_page.md
@@ -0,0 +1,23 @@
+# Demo
+For demonstration purposes and general testing of a current model a stripped back version of the annotator is provided
+via the 'Demo' tab of the main screen.
+
+![](_static/img/demo_tab.png)
+
+This presents a similar looking annotation screen as a real project, but does not
+force usage of a particular dataset, setup of filters, and other project settings. This view does not allow for 'annotating'
+identified concepts (or adding new concepts) but allows for users to get a feel for what an existing MedCAT model is
+capable of annotating in via an interactive model
+
+![](_static/img/demo_interface.png)
+
+1\. A form to:
+- Select the appropriate project model to view concept annotations for.
+- Clinical text to annotate and display in 2.
+- CUI and TypeID filters can be used to only show concepts of interest in 2. For example for a UMLS CDB this could be
+  T047 for "Disease or Syndrome". CUI and TypeID filters are combined if entries are included in both form inputs.
+
+2\. Example clinical text is displayed here, with text spans highlighted in blue. Click any annotation to show linked
+concept DB details in 3.
+
+3\. Linked concept details from selected concepts from the 2. 
\ No newline at end of file
diff --git a/medcat-trainer/docs/index.rst b/medcat-trainer/docs/index.rst
new file mode 100644
index 000000000..b7758d22c
--- /dev/null
+++ b/medcat-trainer/docs/index.rst
@@ -0,0 +1,31 @@
+.. MedCATtrainer documentation master file, created by
+   sphinx-quickstart on Fri Feb 18 17:02:13 2022.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Welcome to MedCATtrainer's documentation!
+=========================================
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   main.md
+   installation.md
+   admin_setup.md
+   project_admin.md
+   project_group_admin.md
+   demo_page.md
+   annotator_guide.md
+   meta_annotations.md
+   advanced_usage.md
+   maintenance.md
+   client.md
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/medcat-trainer/docs/installation.md b/medcat-trainer/docs/installation.md
new file mode 100644
index 000000000..12a37b1e3
--- /dev/null
+++ b/medcat-trainer/docs/installation.md
@@ -0,0 +1,114 @@
+# Installation
+MedCATtrainer is a docker-compose packaged Django application.
+
+## Download from Dockerhub
+Clone the repo, run the default docker-compose file and default env var:
+```shell
+$ git clone https://github.com/CogStack/cogstack-nlp
+$ cd cogstack-nlp/medcat-trainer
+$ docker-compose up
+```
+
+This will use the pre-built docker images available on DockerHub. If your internal firewall does on permit access to DockerHub, you can build directly from source.
+
+To check logs of the MedCATtrainer running containers
+```bash
+$  docker logs <containerid> | grep "\[medcattrainer\]"
+$  docker logs <containerid> | grep "\[bg-process\]"
+$  docker logs <containerid> | grep "\[db-backup\]"
+```
+
+## MedCAT v0.x models
+If you have MedCAT v0.x models, and want to use the trainer please use the following docker-compose file:
+This refences the latest built image for the trainer that is still compatible with [MedCAT v0.x.](https://pypi.org/project/medcat/0.4.0.6/) and under.
+```shell
+$ docker-compose -f docker-compose-mc0x.yml up
+```
+
+## Build images from source
+The above commands runs the latest release of MedCATtrainer, if you'd prefer to build the Docker images from source, use
+```shell
+$ docker-compose -f docker-compose-dev.yml up
+```
+
+To change environment variables, such as the exposed host ports and language of spaCy model, use:
+```shell
+$ cp .env-example .env
+# Set local configuration in .env
+```
+
+## Troubleshooting
+If the build fails with an error code 137, the virtual machine running the docker
+daemon does not have enough memory. Increase the allocated memory to containers in the docker daemon
+settings CLI or associated docker GUI.
+
+On MAC: https://docs.docker.com/docker-for-mac/#memory
+
+On Windows: https://docs.docker.com/docker-for-windows/#resources
+
+### (Optional) SMTP Setup
+
+For password resets and other emailing services email environment variables are required to be set up.
+
+Personal email accounts can be set up by users to do this, or you can contact someone in CogStack for a cogstack no email credentials.
+
+The environment variables required are listed in [Environment Variables.](#optional-environment-variables)
+
+Environment Variables are located in envs/env or envs/env-prod, when those are set webapp/frontend/.env must change "VITE_APP_EMAIL" to 1.
+
+### (Optional) Environment Variables
+Environment variables are used to configure the app:
+
+|Parameter|Description|
+|---------|-----------|
+|MEDCAT_CONFIG_FILE|MedCAT config file as described [here](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/medcat/config/config.py)|
+|BEHIND_RP| If you're running MedCATtrainer, use 1, otherwise this defaults to 0 i.e. False|
+|MCTRAINER_PORT|The port to run the trainer app on|
+|EMAIL_USER|Email address which will be used to send users emails regarding password resets|
+|EMAIL_PASS|The password or authentication key which will be used with the email address|
+|EMAIL_HOST|The hostname of the SMTP server which will be used to send email (default: mail.cogstack.org)|
+|EMAIL_PORT|The port that the SMTP server is listening to, common numbers are 25, 465, 587 (default: 465)|
+
+Set these and re-run the docker-compose file.
+
+You'll need to `docker stop` the running containers if you have already run the install.
+
+## OIDC Authentication
+
+You can enable OIDC (OpenID Connect) authentication for the MedCAT Trainer. To do so, you must configure the following environment variables:
+
+| Variable                                | 	Used by	            | Description                                                    |
+|-----------------------------------------|-------------------------|----------------------------------------------------------------|
+| USE_OIDC                                | 	Backend	            | Enable OIDC login flow (1 (true) / 0 (false)).                 |
+| VITE_USE_OIDC                           | 	Frontend            | 	Exposed version of USE_OIDC for Vue.                          |
+| VITE_API_URL                            | 	Frontend            | 	Base API URL for frontend calls.                              |
+| VITE_KEYCLOAK_URL                       | 	Frontend            | 	Keycloak base URL (e.g. http://keycloak.cogstack.localhost/). |
+| VITE_KEYCLOAK_REALM                     | 	Frontend            | 	Keycloak realm name.                                          |
+| VITE_KEYCLOAK_CLIENT_ID                 | 	Frontend            | 	Keycloak client ID for this app.                              |
+| VITE_KEYCLOAK_TOKEN_REFRESH_INTERVAL_MS | 	Frontend            | 	Token refresh frequency in ms.                                |
+| VITE_KEYCLOAK_TOKEN_MIN_VALIDITY_SECS   | 	Frontend            | 	Minimum token validity before refresh.                        |
+| VITE_LOGOUT_REDIRECT_URI                | 	Frontend            | 	Where to send user after logout.                              |
+| NGINX_HOST                              | Backend              | Host alias used by reverse proxy (Traefik )                    |
+
+You can either use the Gateway Auth stack available in cogstack-ops or deploy your own Keycloak instance.
+If you deploy your own Keycloak instance, make sure to configure the network accordingly.
+
+Currently, there are two roles that can be assigned to users:
+- medcattrainer_superuser: grants superuser privileges in the application.
+- medcattrainer_staff: grants staff-level privileges without full superuser access.
+
+### (Optional) Postgres Database Support
+MedCAT trainer defaults to a local SQLite database, which is suitable for single-user or small-scale setups.  
+
+For larger deployments, or to support multiple replicas of the app for example in Kubernetes, you may want to run a postgresql database.
+
+You can optionally use a postgresql database instead by setting the following env variables. 
+
+|Parameter|Description|
+|---------|-----------|
+|DB_ENGINE|Database engine to use. Either `sqlite3` or `postgresql`. Defaults to `sqlite3` if not set.|
+|DB_NAME|Name of the database to connect to.|
+|DB_USER|Username to authenticate with the database.|
+|DB_PASSWORD|Password to authenticate with the database.|
+|DB_HOST|Hostname of the database server (for Postgres, typically the service name in Docker/Kubernetes).|
+|DB_PORT|Port the database server is listening on. Defaults to `5432` for Postgres.|
\ No newline at end of file
diff --git a/medcat-trainer/docs/main.md b/medcat-trainer/docs/main.md
new file mode 100644
index 000000000..e1b2966f7
--- /dev/null
+++ b/medcat-trainer/docs/main.md
@@ -0,0 +1,7 @@
+ # Medical <img src="_static/img/cat-logo.png" width=45>oncept Annotation Tool Trainer
+ 
+MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition 
+and Linking (NER+L) model (MedCAT) for biomedical domain text.
+
+MedCATTrainer was presented at EMNLP/IJCNLP 2019.
+
diff --git a/medcat-trainer/docs/maintenance.md b/medcat-trainer/docs/maintenance.md
new file mode 100644
index 000000000..b21af39b1
--- /dev/null
+++ b/medcat-trainer/docs/maintenance.md
@@ -0,0 +1,61 @@
+# Maintanence
+
+MedCATtrainer is actively maintained. To ensure you receive the latest
+security patches of the software and its dependencies you should regularly
+be upgrading to the latest release.
+
+The latest stable releases update the `docker-compose.yml` and `docker-compose-prod.yml` files.
+
+To update these docker compose files, either copy them directly from the [repo](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer)
+or update the cloned files via:
+
+```shell
+$ cd MedCATtrainer
+$ git pull
+$ docker-compose up
+# alternatively for prod releases use:
+$ docker-compose -f docker-compose-prod.yml up
+```
+
+MedCATtrainer follows [Semver](https://semver.org/), so patch and minor release should always be backwards compatible, 
+whereas major releases, e.g. v1.x vs 2.x versions signify breaking changes. 
+
+Neccessary Django DB migrations will automatically applied between releases, which should largely be invisible to an end admin 
+or annotation user. Nevertheless, migrating ORM / DB models, then rolling back a release can cause issues if values are defaulted 
+or removed from a later version. 
+
+## Backup and Restore
+
+### Backup
+Before updating to a new release, a backup will be created in the `DB_BACKUP_DIR`, as configured in `envs/env`.
+A further crontab runs the same backup script at 10pm every night. This does not cause any downtime and will look like
+this in the logs:
+```shell
+medcattrainer-medcattrainer-db-backup-1  | Found backup dir location: /home/api/db-backup and DB_PATH: /home/api/db/db.sqlite3
+medcattrainer-medcattrainer-db-backup-1  | Backed up existing DB to /home/api/db-backup/db-backup-2023-09-26__23-26-01.sqlite3
+medcattrainer-medcattrainer-db-backup-1  | To restore this backup use $ ./restore.sh /home/api/db-backup/db-backup-2023-09-26__23-26-01.sqlite3
+```
+
+A backup is also automatically performed each time the service starts, and any migrations are performed, in the events of a new release
+introducing a breaking change and corrupting a DB.
+
+### Restore
+If a DB is corrupted or needs to be restored to an existing backed up db use the following commands, whilst the service is running:
+
+```shell
+$ docker ps
+CONTAINER ID   IMAGE                                          COMMAND                  CREATED      STATUS      PORTS                                               NAMES
+a2489b0c681b   cogstacksystems/medcat-trainer-nginx:v2.11.2   "/docker-entrypoint.…"   4 days ago   Up 4 days   80/tcp, 0.0.0.0:8001->8000/tcp, :::8001->8000/tcp   medcattrainer-nginx-1
+20fed153d798   solr:8                                         "docker-entrypoint.s…"   4 days ago   Up 4 days   0.0.0.0:8983->8983/tcp, :::8983->8983/tcp           mct_solr
+2b250a0975fe   cogstacksystems/medcat-trainer:v2.11.2         "/home/run.sh"           4 days ago   Up 4 days                                                       medcattrainer-medcattrainer-1
+$ docker exec -it 2b250a0975fe bash
+root@2b250a0975fe:/home/api# cd ..
+$ restore_db.sh db-backup-2023-09-25__23-21-39.sqlite3  # run the restore.sh script
+Found backup dir location: /home/api/db-backup, found db path: home/api/db/db.sqlite3
+DB file to restore: db-backup-2023-09-25__23-21-39.sqlite3
+Found db-backup-2023-09-25__23-21-39.sqlite3 - y to confirm backup: y  # you'll need tp confirm this is the correct file to restore.
+Restored db-backup-2023-09-25__23-21-39.sqlite3 to /home/db/db.sqlite3
+```
+
+The `restore_db.sh` script will automatically restore the latest db file, if no file is specified.
+
diff --git a/medcat-v1/docs/make.bat b/medcat-trainer/docs/make.bat
similarity index 100%
rename from medcat-v1/docs/make.bat
rename to medcat-trainer/docs/make.bat
diff --git a/medcat-trainer/docs/meta_annotations.md b/medcat-trainer/docs/meta_annotations.md
new file mode 100644
index 000000000..bafcd8a19
--- /dev/null
+++ b/medcat-trainer/docs/meta_annotations.md
@@ -0,0 +1,42 @@
+# Meta Annotations
+
+MedCAT is also able to learn project & context specific annotations that overlay on top of the base layer of concept annotations.
+
+Example use cases of these annotations could be to train models to predict if:
+
+- all disease concepts were **experienced** by the patient, a relative, or N/A.
+- all symptom concepts are **temporally** reference present day, or are historical.
+- all drug concepts are mentions of patients consuming drugs rather than **hypothetical** mentions.
+- a complaint for a patient is **primary** or **secondary**.
+
+MedCATTrainer is configurable (via the administrator app), to allow for the collection of these meta annotations. We
+currently have not integrated the active learning components of the concept recognition.
+
+## Meta Annotation Configuration
+
+To create a new Meta Annotation Task and attach to an existing project:
+
+1\. Enter your project configuration settings via the admin page (http://localhost:8001/admin/)
+
+![](_static/img/select-existing-project.png)
+
+2\. At the bottom of the form, select the + icon to bring up the new Meta Annotation Task Form.
+
+![](_static/img/add-new-meta-task.png)
+
+3\. Complete the form and add additional meta task values if required for your task via the '+' icon and the 'values' input.
+Values are enumerated options for your specific task. These can be re-used across projects or be project specific.
+Ensure the default is one of the corresponding values available. Descriptions appear alongside the tasks in interface
+and in full in the help dialog.
+
+![](_static/img/meta-task-form.png)
+
+4\. Select desired Meta Annotation tasks for the project by holding down (ctrl / cmd) and clicking the meta tasks,
+then select 'Save' to save the project changes.
+
+![](_static/img/select-tasks.png)
+
+5\. Meta Annotations now appear in the interface for that project under the concept summary. Meta-annotations
+only appear for concepts that are correct.
+
+![](_static/img/meta-tasks-interface.png)
\ No newline at end of file
diff --git a/medcat-trainer/docs/project_admin.md b/medcat-trainer/docs/project_admin.md
new file mode 100644
index 000000000..ecf0e994d
--- /dev/null
+++ b/medcat-trainer/docs/project_admin.md
@@ -0,0 +1,205 @@
+# Annotation Project Creation
+
+## Creating an Annotation Project 
+Annotation projects are used to inspect, validate and improve concepts recognised & linked by MedCAT.
+They can also be used to collect annotations for defined MetaCAT models tasks, and coming soon RelCAT, or relation annotation models.
+
+Using the admin page, a configured admin or superuser can create, edit and delete annotation projects.
+
+1\. Navigate to `http://localhost:8001/admin/` or the `http://<hostname>:<port>/admin/` in which you've deployed the Trainer, and select 'Project annotate entities'.
+
+![Main Menu list](_static/img/project_annotate_entities.png)
+
+2\. 'Add Project Annotate Entities'
+
+![Add Project Annotate Entities button](_static/img/add_project_annotate_entities.png)
+project_admin
+3\. Complete the new annotation project form. The table below provides details the purpose of each field:
+
+|Parameter|Description|
+|---------|-----------|
+|Name|# Name of the project that appears on the landing page|
+|Description| Example projects', # Description as it appears on the landing page|
+|Annotation guideline link|A link to a GoogleDoc, MS Sharepoint document etc. that provides this projects annotation guidelines|
+|Members    | **list** of users that have access to this project, select the '+' to create new users |
+|Dataset    | The set of documents to be annotated. The dataset tabular schema is described below.  |
+|Validated Documents| Ignore this list. Use of this list is described in the forthcoming advanced administrator user guide|
+|Cuis       | (Optional) A list of comma separated Concept Unique Identifiers (CUIs). Use this to only show precise concepts in this project |
+|CUI File   | (Optional) A JSON formatted list of CUIs. Can be useful if the project should be setup to annotate large CUI lists extracted gathered from introspection of a CDB. **Will be merged with the above 'Cuis' list**| 
+|Concept DB | A MedCAT Concept Database. This should be the resulting file from a call to the function medcat.cdb.CDB.save_dict('name_of_cdb.dat'). Clicking the '+' icon here opens a dialog to upload a CDB file. |
+|vocab      | A MedCAT Vocabulary. This should be the resulting file from a call to the function medcat.cdb.utils.Vocab.save_dict('name_of_vocab.dat'). Clicking the '+' icon here opens a dialog to upload a vocab file.|
+|cdb_search_filter|CDB ID used to lookup concepts during addition of annotations to a document|
+|Require Entity Validation| (Default: True) With this option ticked, annotations in the interface, that are made by MedCAT will appear 'grey' indicating they have not been validated. Document submission is dependent upon all 'grey' annotations to be marked by a user. Unticked ensures all annotations are marked 'valid' by default|
+|Train Model On Submit| (Default: True) With this option ticked, each document submission trains the configured MedCAT instance with the marked, and added if any, annotations from this document. Unticked, ensures the MedCAT model does not train between submissions.| 
+|Add New Entities|(Default: False) With this option ticked, allows users to add entirely new concepts to the existing MedCAT CDB. False ensures this option is not available to users.|
+|Restrict Concept Lookup|(Default: False) With this option ticked, restricts the concept lookup (add annotation / alternative concept) to only include those CUIs listed in the above filters (either from CUI / TUI list or uploade 'CUI File' list|
+|Terminate Available|(Default: True) With this option ticked, the option to terminate an annotated concept will appear|
+|Irrelevant Available|(Default: False) With this option ticked, the option to mark an annotated concept as 'irrlevant' will appear|
+|Enable entity annotation comments|(Default: False) With this option ticked, the option to leave a comment for each annotation will appear|
+|Tasks| Select from the list 'Meta Annotation' tasks that will appear once a given annotation has been marked correct.|
+|Relations|Select from the list of 'Relation Annotation' tasks that will appear for a given concept.| 
+
+Datasets can be uploaded in CSV or XLSX format. Example:
+
+| name  | text                   | 
+|-------|------------------------|
+| Doc 1 | Example document text  |
+| Doc 2 | More example text      |
+
+The **name** column should be the ID (identifier) and unique for that dataset, the **text** column is the text to be annotated. 
+Example datasets are supplied under docs/example_data/*.csv
+
+4\. Click 'Save' to store the new project.
+
+### Project Home Screen
+
+Navigate to the home screen (`http://localhost:8001/` or `http://<hostname>:<port>/` depending on your deployment), login with your username and password setup previously.
+
+![](_static/img/login.png)
+
+Select your new project to begin annotating documents
+
+![](_static/img/available-projects.png)
+
+#### Admin Options
+Admin users have extra options on the home screen:
+
+1. Concepts Imported - specifies if this projects configured CDB Search Filter has been indexed. This is described in detail below.
+2. Model Loaded - MedCAT models are loaded into memory (a python dict) once a project is loaded. Loading many models with larger trainer deployments can occupy a lot of memory. **Note** Clearing cached models may affect other projects using the same model instance.
+3. Save Model - Write the in memory model to disk - to save the current in memory model state. This option is generally not advised as full model training should be done outside the trainer instance ideally. 
+
+### Notes
+- Example Concept and Vocab databses are freely available on MedCAT [github](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2).
+Note. UMLS and SNOMED-CT are licensed products so only these smaller trained concept / vocab databases are made available currently.
+- More documentation on the creation of UMLS / SNOMED-CT CDBs from respective source data will be released soon.
+- Tasks allow for the creation of meta-annotations and their associated set of values an annotator can use.
+An example 'meta-annotation' could be 'Temporality'. Values could then be 'Past', 'Present', 'Future'.
+- Please NOTE Firefox and IE are currently not supported**. Please use Chrome or Safari.
+
+## Concept Picker - CDB Concept Import
+The concept picker is used to:
+- Pick alternative concepts for an existing recognised span
+  ![](_static/img/pick-alternative-concept.png)
+- Pick a concept during the 'Add Term' process.
+  ![](_static/img/add-annotation-concept.png)
+
+The available list of concepts is populated via a MedCAT CDB and indexed in a [solr](https://solr.apache.org/) search index to enable fast type-ahead style search.
+
+SNOMED-CT / UMLS built databases can contain thousands if not millions of concepts so this process is executed
+in asynchronous task to ensure the admin page and app are still available for use.
+
+**This process should only be done once for each concept universe (i.e. SNOMED-CT, UMLS are 2 distinct concept universes)**
+per deployment or if the underlying MedCAT CDB changes Concepts will be indexed by there CUI, so importing different
+CDB instances that reference the same concept universe will only import
+the concepts that are in the set difference.
+
+To make these concepts available to a (or any project):
+
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Concept Dbs'
+![](_static/img/select-concept-dbs.png)
+
+3\. Select the Concept DB entry, and choose the action 'Import concepts', then press the 'Go' button.
+![](_static/img/import-concepts.png)
+
+Once the concept imports are complete the solr search services will contain 'collections' that are used by a Django view
+for fast type ahead searching. If you're an admin the project home screen will show if a project has had the selected 
+'CDB Search Filter' imported into solr.
+![](_static/img/concepts-imported-status.png)
+
+The Solr admin interface is available on the default port 8983. User guide [here](https://solr.apache.org/guide/solr/latest/getting-started/solr-admin-ui.html)
+
+### Concept Collection Maintenance
+The solr search service is designed to index all concepts and their metadata across any number of MedCAT Concept Databases. 
+By default it is run on the same host as the MedCATtrainer django backend, making it fast to tear down, and upload concept 
+collections, even if the entirety of SNOMED CT or UMLS is indexed. 
+
+To update an index, first delete the outdated concepts from solr via the django admin panel:
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Concept Dbs'
+
+3\. Select the Concept DB entry, and choose the action 'Delete ', then press the 'Go' button.
+![](_static/img/delete-indexed-concepts.png)
+
+This will drop the corresponding collection in the solr search service. This can be also be performed in the solr admin UI by default port 8983.
+
+## Downloading Annotations
+Project annotations can be downloaded with or without the source text, especially important if the source text is
+particularly sensitive and should be not be shared.
+
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Project annotate entities',
+![Main Menu list](_static/img/project_annotate_entities.png)
+
+3\. Select the project(s) to download the annotations for and select the appropriate action for w/ or w/o source text,
+then press the 'Go' button. This will download all annotations, the meta-annotations (if any) for all projects selected.
+Annotations
+
+4\. An example jupyter notebook is provided under docs/Processing_Annotations.ipynb.
+
+![](_static/img/download-annos.png)
+
+## Clone Project
+Cloning Projects is a easy & fast method to create copies of configured projects. This includes the dataset, CDB / vocab
+reference, meta annotation settings etc. Annotations themselves will not be copied across.
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Project annotate entities' (same as above for downloading)
+
+2\. Select the project(s) to clone, select the 'Clone projects', then press the 'Go' button.
+![](_static/img/clone-projects.png)
+
+NB: Cloning projects will use the same CDB instance. If you're double annotating datasets to then calculate agreement scores (IIA, Cohen's Kappa etc.)
+then uncheck "Train Model On Submit" for each of the projects to ensure the model is not trained by each annotator.
+If you do want 'online training' of the model, use separate instances of the same model. You can directly upload multiple
+instances of the same CDB file appropriately named to achieve this.
+
+## Reset Project
+**Use with caution. Resetting projects deletes all annotations and resets a project to its state upon initial creation.**
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Project annotate entities'
+(same as above for downloading)
+
+2\. Select the project(s) to reset, then press the 'Go' button.
+![](_static/img/reset-projects.png)
+
+<a name="save-models"></a>
+## Save Models
+We strongly suggest models are not saved within MedCATtrainer then directly used. Instead, we suggest you use the collected
+annotations from projects to train and test a new MedCAT model.
+
+However, to save the current state of the model you can use:
+
+An API call - \<deployment\>:\<port\>/save-models/<project-id> that can be used to save the current state of
+a model. This will overwrite the current CDB file.
+
+Alternatively, login with an 'admin', (i.e. staff or superuser) account and hit the save model button associated with the project.
+
+<a name="download-models"></a>
+## Download Models
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Concept dbs'.
+
+2\. Click the CDB item you would like to download.
+
+4\. Click the CDB file, you will be prompted to save down the new CDB file. This file will be of the same format you
+have used previously, i.e. you've called medcat.cdb.save_dict('<location>').
+
+The saved MedCAT models can be used in any instance a regular MedCAT model may be used. I.e. in a jupyter notebook,
+part of a web service, or further fine-tuning in another MedCATTrainer instance.
+
+The Trainer currently does not support inspection / training / storage of the meta annotation models. These will be
+integrated in a forthcoming release.
+
+![](_static/img/save_cdb.png)
+
+5\. To load the new dictionary use medcat.cdb.load_dict('<location>')
+
+## Annotation Guidelines
+Annotation guidelines can assist guiding annotators when annotating texts for a MedCATTrainer project.
+
+Example Guidelines can be found [here](https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing).
+
+An initial guideline can be refined using specific examples from your dataset in a pilot project containing a handful of documents.
diff --git a/medcat-trainer/docs/project_group_admin.md b/medcat-trainer/docs/project_group_admin.md
new file mode 100644
index 000000000..19a351f21
--- /dev/null
+++ b/medcat-trainer/docs/project_group_admin.md
@@ -0,0 +1,50 @@
+
+# Annotation Project Group Creation
+Annotation projects often involve more than one annotator.
+
+Project Group instances allow the creation and management of a group of annotation projects from one screen.
+
+## Annotation Project Group Creation
+
+Creating a Project Group is similar to regular [Annotation Project Creation](project_admin.md), but differs in a few 
+key ways. 
+
+They can be used to group existing projects together, or to create a set of Annotation Projects.
+
+## Key Differences from Regular Project Creation
+
+When completing a Project Group form, **Create Associated Projects** is a key parameter:
+
+### Create Associated Projects: True
+If checked will create an Annotation Project for each Annotator selected in the list. All selected Admins will be included as 'annotators' on each Project created. This saves 
+the current steps of creating a 'template' projec then cloning, renaming and re-permissioning each project which happens with
+regular project creation for multiple annotators. Each Project will be called **<Project Group Name> - <Annotator Name>**.
+
+
+### Create Associated Projects: False
+If False the only important parameters will be ProjectGroup Name and description. All other parameters will be ignored. The expectation here is 
+that the projects that are to be grouped already exist, and each Project will be added to the new Project Group manually.
+
+## Best Practise
+Project Groups provide a convenience method for the creating managing grorups of Annotation Projects. Changes such as CUI filters, and projec settings changed once
+in the group will flow down into the associated Annotation Projects.
+
+
+
+## Using Annotation Project Groups
+Regular, non-admin Users of MedCATTrainer, i.e. regular annotators, will not see the option to view Project Groups. 
+
+Admin users will see an action bar as shown:
+![Project Groups Available](_static/img/project-groups-view-available.png)
+
+Selecting this view will show all available Project Groups to the logged in user.
+![Project Groups view](_static/img/project-groups-view.png)
+
+Selecting a group now opens a lightbox with the list of projects in this group:
+![Project Group Contents](_static/img/projects-in-group.png)
+
+
+## Other Benefits of Project Groups
+
+Further enhancements will allow metric further comparisson between projects in a group, gamification, standard annotation metric reporting (e.g. IIA / Cohen's Kappa statistics etc.)
+
diff --git a/medcat-trainer/docs/requirements.txt b/medcat-trainer/docs/requirements.txt
new file mode 100644
index 000000000..2cdd31719
--- /dev/null
+++ b/medcat-trainer/docs/requirements.txt
@@ -0,0 +1,4 @@
+Sphinx==6.2.1
+sphinx-rtd-theme~=1.0
+myst-parser~=0.17
+sphinx-autoapi==3.0.0
\ No newline at end of file
diff --git a/medcat-v1/medcat/preprocessing/__init__.py b/medcat-trainer/envs/.keep
similarity index 100%
rename from medcat-v1/medcat/preprocessing/__init__.py
rename to medcat-trainer/envs/.keep
diff --git a/medcat-trainer/envs/env b/medcat-trainer/envs/env
new file mode 100644
index 000000000..a13fae09f
--- /dev/null
+++ b/medcat-trainer/envs/env
@@ -0,0 +1,57 @@
+### Required for later numpy versions
+OPENBLAS_NUM_THREADS=1
+
+### MedCAT cfg ###
+MEDCAT_CONFIG_FILE=/home/configs/base.txt
+# number of MedCAT models that can be cached, run in bg processes at any one time
+MAX_MEDCAT_MODELS=2
+
+### Deployment Realm ###
+ENV=non-prod
+
+# Complete once this is deployed
+CSRF_TRUSTED_ORIGINS=
+
+### Django debug setting - to live-reload etc. ###
+DEBUG=1
+
+### Load example CDB, Vocab ###
+LOAD_EXAMPLES=1
+
+### Dataset conf ###
+UNIQUE_DOC_NAMES_IN_DATASETS=True
+MAX_DATASET_SIZE=10000
+
+### Solr Concept Search Conf ###
+CONCEPT_SEARCH_SERVICE_HOST=solr
+CONCEPT_SEARCH_SERVICE_PORT=8983
+
+### DB backup dir ###
+# volume mount location, default docker host system volume location, this might be different in /etc/docker/daemon.json
+DB_DIR=/home/api/db
+# currently only supports sqlite3 dbs
+DB_PATH=${DB_DIR}/db.sqlite3
+DB_BACKUP_DIR=/home/api/db-backup
+
+# Resubmit all on startup
+RESUBMIT_ALL_ON_STARTUP=0
+
+# Front end env vars
+LOAD_NUM_DOC_PAGES=10
+
+# SMTP email settings - when settings are configured go to webapp/frontend/.env and set VITE_APP_EMAIL to 1
+EMAIL_USER=example@cogstack.org
+EMAIL_PASS="to be changed"
+EMAIL_HOST=mail.cogstack.org
+EMAIL_PORT=465
+
+# Backend auth
+USE_OIDC=
+
+# Traefik
+NGINX_HOST=medcattrainer.cogstack.localhost
+
+# OIDC settings
+OIDC_HOST=http://keycloak:8080
+OIDC_REALM=cogstack-realm
+OIDC_FRONTEND_CLIENT_ID=cogstack-medcattrainer-frontend
\ No newline at end of file
diff --git a/medcat-trainer/envs/env-mc0x b/medcat-trainer/envs/env-mc0x
new file mode 100644
index 000000000..226c2e95f
--- /dev/null
+++ b/medcat-trainer/envs/env-mc0x
@@ -0,0 +1,27 @@
+TYPE=NOT_UMLS
+DEBUG=False
+UPDATE_COO=False
+NESTED_ENTITIES=False
+
+CNTX_SPAN=9
+CNTX_SPAN_SHORT=3
+MIN_CUI_COUNT=30000
+MIN_CUI_COUNT_STRICT=-1
+MIN_ACC=0.2
+MIN_ACC_TH=0.2
+MIN_CONCEPT_LENGTH=1
+NEG_PROB=0.5
+LBL_STYLE=LONG
+WEIGHTED_AVG=True
+SKIP_STOPWORDS=False
+MAX_SKIP_TKN=2
+
+LR=0.1
+ANNEAL=False
+KEEP_PUNCT=:|.
+
+SPACY_MODEL=en_core_sci_md
+
+MKL_NUM_THREAD=1
+NUMEXPR_NUM_THREADS=1
+OMP_NUM_THREADS=1
diff --git a/medcat-trainer/envs/env-prod b/medcat-trainer/envs/env-prod
new file mode 100644
index 000000000..7ba554762
--- /dev/null
+++ b/medcat-trainer/envs/env-prod
@@ -0,0 +1,47 @@
+### Required for later numpy versions
+OPENBLAS_NUM_THREADS=1
+
+### MedCAT cfg ###
+MEDCAT_CONFIG_FILE=/home/configs/base.txt
+# number of MedCAT models that can be cached, run in bg processes at any one time
+MAX_MEDCAT_MODELS=2
+ENV=prod
+
+# SECRET KEY - edit this for prod deployments,
+# SECRET_KEY=
+
+# Complete once this is deployed
+CSRF_TRUSTED_ORIGINS=
+
+# Django Debug mode should be False for prod
+DEBUG=0
+
+### Load example CDB, Vocab ###
+LOAD_EXAMPLES=0
+
+### Dataset conf ###
+UNIQUE_DOC_NAMES_IN_DATASETS=True
+MAX_DATASET_SIZE=10000
+
+### Solr Concept Search Conf ###
+CONCEPT_SEARCH_SERVICE_HOST=solr
+CONCEPT_SEARCH_SERVICE_PORT=8983
+
+### DB backup dir - should be set ideally to a mounted / backed up drive ###
+# volume mount location, default docker host system volume location, this might be different in /etc/docker/daemon.json
+DB_DIR=/home/api/db
+# currently only supports sqlite3 dbs
+DB_PATH=${DB_DIR}/db.sqlite3
+DB_BACKUP_DIR=/home/api/db-backup
+
+# Resubmit all on startup
+RESUBMIT_ALL_ON_STARTUP=1
+
+# Front end env vars
+LOAD_NUM_DOC_PAGES=10
+
+# SMTP EMAIL SETTINGS
+EMAIL_USER=example@cogstack.org
+EMAIL_PASS="to be changed"
+EMAIL_HOST=mail.cogstack.org
+EMAIL_PORT=465
\ No newline at end of file
diff --git a/medcat-trainer/install.sh b/medcat-trainer/install.sh
new file mode 100644
index 000000000..b7bbb2305
--- /dev/null
+++ b/medcat-trainer/install.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+
+CURR_LOC=$(pwd)
+mkdir -p /tmp/mc_trainer/envs
+cd /tmp/mc_trainer
+DOCKER_COMP_FILE=dc.yml
+ENV_FILE=/tmp/mc_trainer/envs/env
+
+echo "Downloading docker-compose.yml and default env vars"
+curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/docker-compose.yml > $DOCKER_COMP_FILE
+curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/envs/env > $ENV_FILE
+trap 'rm -rf /tmp/mc_trainer && cd $CURR_LOC' EXIT
+
+echo "Starting MedCATtrainer containers"
+#ls -l
+nohup docker-compose -f $DOCKER_COMP_FILE up &>/dev/null &
+while true;
+do
+  sleep 5
+  IS_READY=$(curl http://localhost:8001 -w "%{http_code}" -Isl | head -n1 | cut -d ' ' -f2)
+  if [ "$IS_READY" = "200" ]; then
+    break
+  else
+    echo "Loading..."
+    docker-compose -f $DOCKER_COMP_FILE logs
+  fi
+done
+echo \
+"\n---------------------------------------------------------\n"\
+"---- MedCATtrainer running on http://localhost:8001/ ----\n"\
+"---------------------------------------------------------\n"
\ No newline at end of file
diff --git a/medcat-trainer/nginx/nginx.conf b/medcat-trainer/nginx/nginx.conf
new file mode 100644
index 000000000..1c8256a49
--- /dev/null
+++ b/medcat-trainer/nginx/nginx.conf
@@ -0,0 +1,135 @@
+# Configuration File - Nginx Server Configs
+# http://nginx.org/en/docs/dirindex.html
+
+# Sets the worker threads to the number of CPU cores available in the system for best performance.
+# Should be > the number of CPU cores.
+# Maximum number of connections = worker_processes * worker_connections
+worker_processes auto;
+
+# Maximum number of open files per worker process.
+# Should be > worker_connections.
+worker_rlimit_nofile 8192;
+
+events {
+  # If you need more connections than this, you start optimizing your OS.
+  # That's probably the point at which you hire people who are smarter than you as this is *a lot* of requests.
+  # Should be < worker_rlimit_nofile.
+  worker_connections 8005;
+}
+
+# Log errors and warnings to this file
+# This is only used when you don't override it on a server{} level
+#error_log  logs/error.log warn;
+
+# The file storing the process ID of the main process
+pid        /var/run/nginx.pid;
+
+http {
+
+  # Hide nginx version information.
+  server_tokens off;
+
+  # Specify MIME types for files.
+  include       mime.types;
+  default_type  application/octet-stream;
+
+  # Update charset_types to match updated mime.types.
+  # text/html is always included by charset module.
+  charset_types text/css text/plain text/vnd.wap.wml application/javascript application/json application/rss+xml application/xml;
+
+  # Include $http_x_forwarded_for within default format used in log files
+  log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
+                    '$status $body_bytes_sent "$http_referer" '
+                    '"$http_user_agent" "$http_x_forwarded_for"';
+
+  # Log access to this file
+  # This is only used when you don't override it on a server{} level
+  #access_log logs/access.log main;
+
+  # How long to allow each connection to stay idle.
+  # Longer values are better for each individual client, particularly for SSL,
+  # but means that worker connections are tied up longer.
+  keepalive_timeout 3000s;
+  
+  # Timeouts
+  proxy_connect_timeout       3000;
+  proxy_send_timeout          3000;
+  proxy_read_timeout          3000;
+  send_timeout                3000;
+
+  # increase client body size - Model packs can be over 3G.s
+  client_max_body_size 4000M;
+  # Speed up file transfers by using sendfile() to copy directly
+  # between descriptors rather than using read()/write().
+  # For performance reasons, on FreeBSD systems w/ ZFS
+  # this option should be disabled as ZFS's ARC caches
+  # frequently used files in RAM by default.
+  sendfile        on;
+
+  # Don't send out partial frames; this increases throughput
+  # since TCP frames are filled up before being sent out.
+  tcp_nopush      on;
+
+  # Enable gzip compression.
+  gzip on;
+
+  # Compression level (1-9).
+  # 5 is a perfect compromise between size and CPU usage, offering about
+  # 75% reduction for most ASCII files (almost identical to level 9).
+  gzip_comp_level    5;
+
+  # Don't compress anything that's already small and unlikely to shrink much
+  # if at all (the default is 20 bytes, which is bad as that usually leads to
+  # larger files after gzipping).
+  gzip_min_length    256;
+
+  # Compress data even for clients that are connecting to us via proxies,
+  # identified by the "Via" header (required for CloudFront).
+  gzip_proxied       any;
+
+  # Tell proxies to cache both the gzipped and regular version of a resource
+  # whenever the client's Accept-Encoding capabilities header varies;
+  # Avoids the issue where a non-gzip capable client (which is extremely rare
+  # today) would display gibberish if their proxy gave them the gzipped version.
+  gzip_vary          on;
+
+  # Compress all output labeled with one of the following MIME-types.
+  gzip_types
+    application/atom+xml
+    application/javascript
+    application/json
+    application/ld+json
+    application/manifest+json
+    application/rss+xml
+    application/vnd.geo+json
+    application/vnd.ms-fontobject
+    application/x-font-ttf
+    application/x-web-app-manifest+json
+    application/xhtml+xml
+    application/xml
+    font/opentype
+    image/bmp
+    image/svg+xml
+    image/x-icon
+    text/cache-manifest
+    text/css
+    text/plain
+    text/vcard
+    text/vnd.rim.location.xloc
+    text/vtt
+    text/x-component
+    text/x-cross-domain-policy;
+  # text/html is always compressed by gzip module
+
+  # This should be turned on if you are going to have pre-compressed copies (.gz) of
+  # static files available. If not it should be left off as it will cause extra I/O
+  # for the check. It is best if you enable this in a location{} block for
+  # a specific directory, or on an individual server{} level.
+  # gzip_static on;
+
+  # Include files in the sites-enabled folder. server{} configuration files should be
+  # placed in the sites-available folder, and then the configuration should be enabled
+  # by creating a symlink to it in the sites-enabled folder.
+  # See doc/sites-enabled.md for more info.
+  include sites-enabled/*;
+}
diff --git a/medcat-trainer/nginx/sites-enabled/medcattrainer b/medcat-trainer/nginx/sites-enabled/medcattrainer
new file mode 100644
index 000000000..005271917
--- /dev/null
+++ b/medcat-trainer/nginx/sites-enabled/medcattrainer
@@ -0,0 +1,34 @@
+server {
+    listen 8000;
+    server_name localhost;
+    charset utf-8;
+    large_client_header_buffers 4 32k;
+
+    location /static {
+        alias /home/api/static;
+    }
+
+    location /media {
+        alias /home/api/media;
+    }
+
+    location /api/concepts/ {
+        proxy_pass http://mct_solr:8983/solr/;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    }
+
+    location / {
+        proxy_pass http://medcattrainer:8000;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    }
+    location /nginx/health/live {
+        access_log off;
+        return 200 'OK';
+        add_header Content-Type text/plain;
+    }
+}
+
diff --git a/medcat-trainer/notebook_docs/API_Examples.ipynb b/medcat-trainer/notebook_docs/API_Examples.ipynb
new file mode 100644
index 000000000..97b722327
--- /dev/null
+++ b/medcat-trainer/notebook_docs/API_Examples.ipynb
@@ -0,0 +1,573 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MedCATTrainer API Examples\n",
+    "The following notebook details the how to programmatically upload data, permission users, and create projects to setup users for large distributed annotation projects.\n",
+    "- Create Datasets in MedCATTrainer\n",
+    "- Create CDB and Vocab MedCAT models in MedCATTrainer\n",
+    "- Create Projects in MedCATTainer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "URL = 'http://localhost:8001' # Should be set to your running deployment, IP / PORT if not running on localhost:8001"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sample Dataset\n",
+    "Sample data from [MT-Samples](https://www.mtsamples.com/), a subset of this dataset is available here under example_data/*.csv\n",
+    "\n",
+    "We'll be working with 3 datasets, the below guide works with 3 datasets, but can use function with 100s if needed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ortho_notes = pd.read_csv('example_data/ortho.csv')\n",
+    "neuro_notes = pd.read_csv('example_data/neuro.csv')\n",
+    "cardio_notes = pd.read_csv('example_data/cardio.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Accessing the MedCATTrainer API\n",
+    "API access is via a username / password. Upon login the API auth endpoint provides an auth token that must be used for all following requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Authorization': 'Token dece457ae382482d9edc999fdbf37dd39ea2893c'}"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "payload = {\"username\": \"test\", \"password\": \"foobar312$\"}\n",
+    "headers = {\n",
+    "    'Authorization': f'Token {json.loads(requests.post(\"http://localhost:8001/api/api-token-auth/\", json=payload).text)[\"token\"]}',\n",
+    "}\n",
+    "headers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Resource APIs \n",
+    "The MedCAT API, follows a RESTful architecture. Objects created, updated, deleted under their respective resource path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'users': 'http://localhost:8001/api/users/',\n",
+       " 'entities': 'http://localhost:8001/api/entities/',\n",
+       " 'project-annotate-entities': 'http://localhost:8001/api/project-annotate-entities/',\n",
+       " 'project-groups': 'http://localhost:8001/api/project-groups/',\n",
+       " 'documents': 'http://localhost:8001/api/documents/',\n",
+       " 'annotated-entities': 'http://localhost:8001/api/annotated-entities/',\n",
+       " 'meta-annotations': 'http://localhost:8001/api/meta-annotations/',\n",
+       " 'meta-tasks': 'http://localhost:8001/api/meta-tasks/',\n",
+       " 'meta-task-values': 'http://localhost:8001/api/meta-task-values/',\n",
+       " 'relations': 'http://localhost:8001/api/relations/',\n",
+       " 'entity-relations': 'http://localhost:8001/api/entity-relations/',\n",
+       " 'concept-dbs': 'http://localhost:8001/api/concept-dbs/',\n",
+       " 'vocabs': 'http://localhost:8001/api/vocabs/',\n",
+       " 'datasets': 'http://localhost:8001/api/datasets/'}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "json.loads(requests.get(f'{URL}/api/', headers=headers).text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create Datasets\n",
+    "A MedCATTrainer 'Dataset' is a set of documents that is uploaded into the trainer and used for one or more, annotation projects. \n",
+    "The trainer interface accepts CSV / XLSX files, files have 2 columns namely, **name** and **text**. \n",
+    "\n",
+    "An example DataFrame for this format are shown below. \n",
+    "\n",
+    "The below API can be used to upload and create multiple datasets, one for each example DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrame' object has no attribute 'subject_id'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m/tmp/ipykernel_10318/6590849.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Add a name column to the other datasets\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mneuro_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mneuro_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mcardio_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcardio_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'text'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/cattrainer/lib/python3.11/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   6200\u001b[0m             \u001b[0;32mand\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_accessors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6201\u001b[0m             \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6202\u001b[0m         ):\n\u001b[1;32m   6203\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6204\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'subject_id'"
+     ]
+    }
+   ],
+   "source": [
+    "# Add a name column to the other datasets\n",
+    "ortho_notes['name'] = ortho_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "neuro_notes['name'] = neuro_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "cardio_notes['name'] = cardio_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "ortho_notes.loc[:, ['name', 'text']].head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Collate datasets, with Names\n",
+    "datasets = [('Neuro Notes', neuro_notes), ('Cardio Notes', cardio_notes), ('Ortho Notes', ortho_notes)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# POST dataset API with list of datasets\n",
+    "dataset_ids = []\n",
+    "for name, d_s in datasets:\n",
+    "    payload = {\n",
+    "        'dataset_name': name,   # Name that appears in each\n",
+    "        'dataset': d_s.loc[:, ['name', 'text']].to_dict(),  #  Dictionary representation of only\n",
+    "        'description': f'{name} first 20 notes from each category' # Description that appears in the trainer\n",
+    "    }\n",
+    "    resp = requests.post(f'{URL}/api/create-dataset/', json=payload, headers=headers)\n",
+    "    dataset_ids.append(json.loads(resp.text)['dataset_id'])\n",
+    "# New datasets created in the trainer have the following IDs\n",
+    "dataset_ids"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create CDBs and Vocabularies\n",
+    "The MedCAT models used by MedCATTrainer are output by MedCAT instances of classesmedcat.cdb.CDB, medcat.utils.vocab.Vocabulary. Calling save_dict('\\<file location\\>') will write a file that can be loaded in another instance of MedCAT (via load_dict()), or within MedCATTrainer.\n",
+    "\n",
+    "Examples models are provided on the MedCAT Repository: https://github.com/CogStack/cogstack-nlp/tree/main/v1/medcat"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Upload a CDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "total 4020900\n",
+      "drwxrwxr-x 6 cerberus cerberus      4096 Jan 17  2024 20230227__kch_gstt_trained_model_494c3717f637bb89\n",
+      "-rw-rw-r-- 1 cerberus cerberus 954511008 Jan 17  2024 20230227__kch_gstt_trained_model_494c3717f637bb89.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus 392429568 Jan  5  2024 cdb.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus 607359360 Jun  7  2023 cdb-medmen.dat\n",
+      "drwxrwxr-x 4 cerberus cerberus      4096 Feb  8  2024 deid_medcat_n2c2_modelpack\n",
+      "-rw-r--r-- 1 cerberus cerberus 487520245 Feb  8  2024 deid_medcat_n2c2_modelpack.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus    181988 Jan  5  2024 icd_11_cbd_utf8.dat\n",
+      "drwxrwxr-x 6 cerberus cerberus      4096 Feb 22  2024 medcat_model_pack_v1.4.0\n",
+      "-rw-rw-r-- 1 cerberus cerberus 841304525 Jan  5  2024 medcat_model_pack_v1.4.0.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus       223 Jan  5  2024 pain_custom_cdb.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus     25599 Jan  5  2024 pain_term.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus    772635 Jan  5  2024 rxnorm_analgesic_cbd_utf8.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus    362697 Jan  5  2024 rxnorm_analgesic_cbd_utf8_Y2VYjZO.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus 832849835 Jan  5  2024 rxnorm_cdb.dat\n",
+      "-rw-rw-r-- 1 cerberus cerberus     21316 Aug 22 16:43 Untitled.ipynb\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls -l ../../medcat-models/cdb-medmen.dat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from medcat.cdb import CDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<medcat.cdb.CDB at 0x704e66be4050>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cdb = CDB.load('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.post(f'{URL}/api/concept-dbs/', headers=headers,\n",
+    "                               data={'name': 'example_cdb', 'use_for_training': True},\n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 21,\n",
+       " 'name': 'example_cdb',\n",
+       " 'cdb_file': 'http://localhost:8001/media/cdb_HjbPPUI.dat',\n",
+       " 'use_for_training': True,\n",
+       " 'create_time': '2024-09-20T21:07:03.062580Z',\n",
+       " 'last_modified': '2024-09-20T21:07:03.062610Z',\n",
+       " 'last_modified_by': 1}"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "txt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.put(f'{URL}/api/concept-dbs/21/', headers=headers,\n",
+    "                               data={'name': 'example_cdb-EDITED', 'use_for_training': True},\n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 21,\n",
+       " 'name': 'example_cdb',\n",
+       " 'cdb_file': 'http://localhost:8001/media/cdb_HjbPPUI.dat',\n",
+       " 'use_for_training': True,\n",
+       " 'create_time': '2024-09-20T21:07:03.062580Z',\n",
+       " 'last_modified': '2024-09-20T21:07:03.062610Z',\n",
+       " 'last_modified_by': 1}"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "requests.post(f'{URL}/api/concept-dbs/', headers=headers,\n",
+    "                               data={'name': 'example_cdb', 'use_for_training': True},\n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Upload a Vocabulary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.post(f'{URL}/api/vocab/', headers=headers,\n",
+    "                               files={'cdb_file': open('<<LOCATION OF vocab>>', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Projects\n",
+    "'Projects' are individual annotaion projects that can broadly be used to:\n",
+    "- Improve an existing MedCAT model, by providing feedback (correct, incorrect) on MedCAT annotations, providing more synonyms, abbreviations etc for exsiting concepts or even new concepts entirely, if the current CDB does not capture possible concepts, and re-train the MedCAT model between each document.\n",
+    "- Inspect existing annotations of a MedCAT model and only collect annotations.\n",
+    "\n",
+    "**Each new project is 'wired' up with exsiting users, models and datasets via their respective IDs. You should have already setup: User(s) a Concept Database and Vocabulary via the admin page http://{deployment_url}/admin/auth/user/.**\n",
+    "\n",
+    "<!-- ![Admin Page](imgs/admin_page.png) -->\n",
+    "<div>\n",
+    "<img src=\"./../docs/_static/img/admin_page.png\" width=\"350px\"/>\n",
+    "</div>\n",
+    "\n",
+    "Once you've created each object via the /admin/ page, return here to collect Users IDs and the MedCAT models IDs."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### User Permissions\n",
+    "First create user accounts \n",
+    "\n",
+    "Collect user IDs via that you want to permission for the new projects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "resp = json.loads(requests.get(f'{URL}/api/users/', headers=headers).text)['results']\n",
+    "pprint(resp)\n",
+    "users_ids = [u['id'] for u in resp]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### MedCAT Models\n",
+    "Each project is configured with a MedCAT Concept Database (CDB), and Vocabulary (Vocab). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_cdbs = json.loads(requests.get(f'{URL}/api/concept-dbs/', headers=headers).text)['results']\n",
+    "# the CDB ID we'll use for this example\n",
+    "cdb_to_use = all_cdbs[0]['id']\n",
+    "# you might have many CDBs here. First 2 cdbs:\n",
+    "all_cdbs[0:2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You'll probably only have one vocabulary\n",
+    "all_vocabs = json.loads(requests.get(f'{URL}/api/vocabs/', headers=headers).text)['results']\n",
+    "vocab_to_use = all_vocabs[0]['id']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Project Creation\n",
+    "We'll create 3 projects, one for each dataset, with both users able to access all projects. \n",
+    "\n",
+    "We'll leave the CUI and TUI filters blank, allowing for all concepts to appear for all these projects. \n",
+    "\n",
+    "|Parameter|Description|\n",
+    "|---------|-----------|\n",
+    "|name|# Name of the project that appears on the landing page|\n",
+    "|description| Example projects', # Description as it appears on the landing page|\n",
+    "|cuis       | Comma  separated list if needed |\n",
+    "|type_ids   | A comma separated list of Type IDs. Type IDs are logical groupings of CUIs such as 'disease', or 'symptom'|\n",
+    "|dataset    | The set of documents to be annotated|\n",
+    "|concept_db | Previously retrieved CDB ID  |\n",
+    "|cdb_search_filter|**list** of CDB IDs that are used to lookup concepts during addition of annotations to a document| \n",
+    "|vocab      | Previously retrieved vocab ID|\n",
+    "|members    | **list** of users for the project |"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_names = [d_n for d_n, d in datasets]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_ids = []\n",
+    "for d_id, p_name in zip(dataset_ids, project_names):\n",
+    "    payload = {\n",
+    "        'name': f'{p_name} Annotation Project',\n",
+    "        'description': 'Example projects',\n",
+    "        'cuis': '',\n",
+    "        'tuis': '',\n",
+    "        'dataset': d_id,\n",
+    "        'concept_db': cdb_to_use,\n",
+    "        'vocab': vocab_to_use,\n",
+    "        'members': users_ids\n",
+    "    }\n",
+    "    project_ids.append(json.loads(requests.post(f'{URL}/api/project-annotate-entities/', json=payload, headers=headers).text))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Newly created projects are now available for the assigned users. Given this above method many projects for specific conditions can created, configured and permissioned in seconds\n",
+    "\n",
+    "![](../docs/_static/img/new_projects.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/medcat-trainer/notebook_docs/Client_API_Tutorials.ipynb b/medcat-trainer/notebook_docs/Client_API_Tutorials.ipynb
new file mode 100644
index 000000000..c3a13172f
--- /dev/null
+++ b/medcat-trainer/notebook_docs/Client_API_Tutorials.ipynb
@@ -0,0 +1,502 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Client API Tutorial\n",
+    "\n",
+    "This notebook demonstrates how to use the `MedCATTrainerSession` class to interact with the MedCATTrainer API. We'll cover:\n",
+    "\n",
+    "1. Setting up a MedCATTrainer session\n",
+    "2. Exploring available resources (users, datasets, models)\n",
+    "3. Creating new resources (datasets, models, users)\n",
+    "4. Creating annotation projects with different approaches\n",
+    "5. Downloading and saving annotations\n",
+    "\n",
+    "These steps provide a complete workflow for programmatically managing medical text annotation projects with MedCATTrainer."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<u>__SETUP:__</u>\n",
+    "\n",
+    "You need to have [MedCATtrainer service running locally](http://localhost:8001/)\n",
+    "\n",
+    "The default credentials when setup is:\n",
+    "\n",
+    "```bash\n",
+    "username: admin\n",
+    "password: admin\n",
+    "```\n",
+    "\n",
+    "The administrative console can be found here: http://localhost:8001/admin/\n",
+    "\n",
+    "Within this admin console is where you can manually interact the the MedCATtrainer program and setup projects\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Setup and Authentication\n",
+    "\n",
+    "First, let's import the necessary classes and set up our session:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import json\n",
+    "import sys\n",
+    "sys.path.append('../client')\n",
+    "from mctclient import MedCATTrainerSession, MCTDataset, MCTConceptDB, MCTVocab, MCTModelPack, MCTUser, MCTProject"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialize the session\n",
+    "\n",
+    "# Set environment variables for authentication, These are default and are optional.\n",
+    "os.environ['MCTRAINER_USERNAME'] = 'admin'\n",
+    "os.environ['MCTRAINER_PASSWORD'] = 'admin'\n",
+    "mct_server = 'http://localhost:8001' # Default server is http://localhost:8001 if not specified\n",
+    "# session = MedCATTrainerSession()\n",
+    "\n",
+    "# Initialize the session and change explicit arguements if required.\n",
+    "session = MedCATTrainerSession(server=mct_server, username='admin', password='admin') # Wrapper for the MedCATTrainer API."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Explore Available Resources\n",
+    "\n",
+    "Let's check what resources are already available in the MedCATTrainer instance:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get users\n",
+    "users = session.get_users()\n",
+    "print(\"Users:\")\n",
+    "for user in users:\n",
+    "    print(user)\n",
+    "print()\n",
+    "\n",
+    "# Get datasets\n",
+    "datasets = session.get_datasets()\n",
+    "print(\"Datasets:\")\n",
+    "for dataset in datasets:\n",
+    "    print(dataset)\n",
+    "print()\n",
+    "\n",
+    "# Get concept databases and vocabularies\n",
+    "concept_dbs, vocabs = session.get_models()\n",
+    "print(\"Concept DBs:\")\n",
+    "for cdb in concept_dbs:\n",
+    "    print(cdb)\n",
+    "print()\n",
+    "print(\"Vocabularies:\")\n",
+    "for vocab in vocabs:\n",
+    "    print(vocab)\n",
+    "print()\n",
+    "\n",
+    "# Get modelpacks\n",
+    "model_packs = session.get_model_packs()\n",
+    "print(\"ModelPacks:\")\n",
+    "for model_pack in model_packs:\n",
+    "    print(model_pack)\n",
+    "print()\n",
+    "\n",
+    "# Get meta tasks\n",
+    "meta_tasks = session.get_meta_tasks()\n",
+    "print(\"Meta Tasks:\")\n",
+    "for i, task in enumerate(meta_tasks):\n",
+    "    print(f\"{i+1} : {task.name}\")\n",
+    "print()\n",
+    "\n",
+    "# Get relation tasks\n",
+    "rel_tasks = session.get_rel_tasks()\n",
+    "print(\"Relation Tasks:\")\n",
+    "for i, task in enumerate(rel_tasks):\n",
+    "    print(f\"{i+1} : {task.name}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Upload new resources to MedCATtrainer\n",
+    "\n",
+    "Before we create a project we need to create and upload all the required resources. We'll start with a dataset:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a new dataset to be annotated.\n",
+    "neurology_dataset = session.create_dataset(\n",
+    "    name=\"Neurology Notes\",  # Names must be unique\n",
+    "    dataset_file=\"./example_data/neuro.csv\"  # This csv should have atleast these 2 columns. [\"name\", \"text\"]\n",
+    ")\n",
+    "print(f\"Created dataset: {neurology_dataset}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.1 Creating MedCAT Models\n",
+    "\n",
+    "We have two options for creating models:\n",
+    "\n",
+    "1. Upload separate CDB and Vocab files\n",
+    "2. Upload a complete model pack ZIP\n",
+    "\n",
+    "Let's explore both approaches:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# If you don't have these medcat components or modelpack. You can download an example here:\n",
+    "# Download vocab.dat\n",
+    "!wget -O ./example_data/vocab.dat https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/vocab.dat\n",
+    "# Download snomed-cdb-mc-v1.cdb\n",
+    "!wget -O ./example_data/snomed-cdb-mc-v1.cdb https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/snomed-cdb-mc-v1.cdb\n",
+    "# Download model pack (this is a zip file)\n",
+    "!wget -O ./example_data/medcat_model_pack.zip https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/medcat_model_pack_c4e0d25701ce4e88.zip\n",
+    "\n",
+    "# Otherwise Skip this"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Option 1: Upload separate CDB and Vocab files\n",
+    "example_cdb = MCTConceptDB(name=\"example_cdbv1\", conceptdb_file=\"./example_data/snomed-cdb-mc-v1.cdb\")\n",
+    "example_vocab = MCTVocab(name=\"example_vocabv2\", vocab_file=\"./example_data/vocab.dat\")\n",
+    "\n",
+    "# Create the model in the MedCATTrainer instance\n",
+    "cdb, vocab = session.create_medcat_model(example_cdb, example_vocab)\n",
+    "print(f\"Created CDB: {cdb}\")\n",
+    "print(f\"Created Vocab: {vocab}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Option 2: Upload a complete modelpack ZIP\n",
+    "# This contains CDB, Vocab, and potentially MetaCAT and RelCAT models\n",
+    "medcat_model_pack = MCTModelPack(\n",
+    "    name=\"medcat_full_pack\",\n",
+    "    model_pack_zip=\"./medcat_model_pack.zip\"\n",
+    ")\n",
+    "session.create_medcat_model_pack(medcat_model_pack)\n",
+    "print(f\"Created model pack: {medcat_model_pack}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 Creating a New User\n",
+    "\n",
+    "If we need to add an annotator to our project:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_user = session.create_user(username=\"annotator1\", password=\"secure_password\")\n",
+    "print(f\"Created user: {new_user}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4. Creating Annotation Projects\n",
+    "\n",
+    "Now we can create annotation projects using our resources:\n",
+    "\n",
+    "But first, Let's check again what resources are now available in the MedCATTrainer instance after Part 3:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get users\n",
+    "users = session.get_users()\n",
+    "print(\"Users:\")\n",
+    "for user in users:\n",
+    "    print(user)\n",
+    "print()\n",
+    "\n",
+    "# Get datasets\n",
+    "datasets = session.get_datasets()\n",
+    "print(\"Datasets:\")\n",
+    "for dataset in datasets:\n",
+    "    print(dataset)\n",
+    "print()\n",
+    "\n",
+    "# Get concept databases and vocabularies\n",
+    "concept_dbs, vocabs = session.get_models()\n",
+    "print(\"Concept DBs:\")\n",
+    "for cdb in concept_dbs:\n",
+    "    print(cdb)\n",
+    "print()\n",
+    "print(\"Vocabularies:\")\n",
+    "for vocab in vocabs:\n",
+    "    print(vocab)\n",
+    "print()\n",
+    "\n",
+    "# Get modelpacks\n",
+    "model_packs = session.get_model_packs()\n",
+    "print(\"ModelPacks:\")\n",
+    "for model_pack in model_packs:\n",
+    "    print(model_pack)\n",
+    "print()\n",
+    "\n",
+    "# Get meta tasks\n",
+    "meta_tasks = session.get_meta_tasks()\n",
+    "print(\"Meta Tasks:\")\n",
+    "for i, task in enumerate(meta_tasks):\n",
+    "    print(f\"{i+1} : {task.name}\")\n",
+    "print()\n",
+    "\n",
+    "# Get relation tasks\n",
+    "rel_tasks = session.get_rel_tasks()\n",
+    "print(\"Relation Tasks:\")\n",
+    "for i, task in enumerate(rel_tasks):\n",
+    "    print(f\"{i+1} : {task.name}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Method 1: Create a project with separate CDB and Vocab\n",
+    "neuro_project = session.create_project(\n",
+    "    name=\"Neurology Annotation Project\",\n",
+    "    description=\"Demo annotation project of neurology conditions, epilepsy & seizure\",\n",
+    "    members=[user for user in users],  # Add all users...\n",
+    "    dataset=datasets[-1],\n",
+    "    concept_db=concept_dbs[-1],\n",
+    "    vocab=vocabs[-1],\n",
+    "    cuis=[\"84757009\", \"91175000\"],  # Whitelist Filter CUIs/concepts\n",
+    "    #meta_tasks=[\"Temporality\", \"Certainty\"],  # Can specify by name or by object\n",
+    "    #rel_tasks=[\"Has_Finding\"] # only add this relational extraction task if absolutely required\n",
+    ")\n",
+    "\n",
+    "print(f\"Created project: {neuro_project}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Method 2: Create a project with a modelpack\n",
+    "\n",
+    "# Rerun the explore resources to run the following code:\n",
+    "general_project = session.create_project(\n",
+    "    name=\"Demo General Medical Annotation\",\n",
+    "    description=\"Annotation of neurology medical conditions\",\n",
+    "    members=[user for user in users],  # All users\n",
+    "    dataset=datasets[-1],  # Use existing dataset\n",
+    "    modelpack=model_packs[-1],  # Use existing model pack\n",
+    "    # cuis_file=\"./resources/mct_filter.json\",  # Load whitelist concepts from a file [\"concept1\", \"concept2\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"Created project with model pack: {general_project}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5. Retrieving Project Annotations\n",
+    "\n",
+    "After annotators have worked on the projects, we can download the annotations:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get all projects\n",
+    "mct_projects = session.get_projects()\n",
+    "\n",
+    "# Download annotations for all projects\n",
+    "projects = session.get_project_annos(mct_projects)\n",
+    "\n",
+    "print(f\"Downloaded annotations for {len(mct_projects)} projects:\")\n",
+    "for p in projects['projects']:\n",
+    "    print(p['name'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Inspect all details from a single export\n",
+    "projects['projects'][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 6. Saving Annotations for Analysis\n",
+    "Once annotations have been collected they can be downloaded."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save MCT export / annotations to a file\n",
+    "with open(\"./example_data/medical_annotations.json\", \"w\") as f:\n",
+    "    json.dump(projects, f, indent=2)\n",
+    "\n",
+    "print(\"Annotations saved to ./example_data/medical_annotations.json\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 7. Save Annotations as a Project\n",
+    "Annotatons can be 'imported' into a trainer instance:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "projects = json.load(open('./example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_packs = session.get_model_packs()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "users = session.get_users()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'successfully uploaded'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "session.upload_projects_export(\n",
+    "    projects,\n",
+    "    modelpack=model_packs[1],\n",
+    "    cdb_search_filter=model_packs[1].concept_db,\n",
+    "    members=users,\n",
+    "    import_project_name_suffix='imported4',\n",
+    "    set_validated_docs=False\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# End of Tutorial"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "cattrainer",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb b/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb
new file mode 100644
index 000000000..5f4adc384
--- /dev/null
+++ b/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb
@@ -0,0 +1,267 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from glob import glob\n",
+    "import pandas as pd\n",
+    "from collections import defaultdict\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate a CUI List for a Given 'Parent' Concept\n",
+    "- all Children of 'cardiac finding', SCTID: 106063007\n",
+    "- For medcat v0.x and medcat v1.x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Relation file from SNOMED-CT Preprocessing tutorial: https://github.com/CogStack/cogstack-nlp/blob/main/v1/medcat-tutorials/notebooks/specialised/Preprocessing_SNOMED_CT.ipynb, \n",
+    "\n",
+    "In section \"SNOMED Relationships\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rels = json.load(open('isa_rela_ch2pt_20200228.txt'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove the S- if exists\n",
+    "rels = {k[2:]: [v_i[2:] for v_i in v] for k,v in rels.items()}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node():\n",
+    "    def __init__(self, sctid, name):\n",
+    "        self.sctid = sctid\n",
+    "        self.name = name\n",
+    "        self.parents = {}\n",
+    "        self.children = {}\n",
+    "    \n",
+    "    def __repr__(self):\n",
+    "        parents_str = \"\\n\\t\".join(f\"{p.sctid}:{p.name}\" for p in self.parents.values())\n",
+    "        children_str = \"\\n\\t\".join([f\"{c.sctid}:{c.name}\" for c in self.children.values()])\n",
+    "        return f'{self.sctid}: {self.name}\\n' +\\\n",
+    "            f'Parents:\\n\\t{parents_str}\\n' +\\\n",
+    "            f'Children:\\n\\t{children_str}\\n' "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def all_children(node: Node):\n",
+    "    def collect(nodes, collected_nodes):\n",
+    "        for n in nodes:\n",
+    "            collected_nodes.append(n)\n",
+    "            if len(n.children.values()) > 0:\n",
+    "                collected_nodes.extend(collect(n.children.values(), []))\n",
+    "        return collected_nodes\n",
+    "        \n",
+    "    all_children = []\n",
+    "    collect(node.children.values(), all_children)\n",
+    "    return all_children"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "valid_rels = {k:v for k,v in rels.items() if k in cdb.cui2preferred_name}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_nodes = {}\n",
+    "def set_rels(node, parent_ids):\n",
+    "    for p_id in parent_ids:\n",
+    "        if p_id in all_nodes:\n",
+    "            parent_node = all_nodes[p_id]\n",
+    "            node.parents[parent_node.sctid] = parent_node\n",
+    "            parent_node.children[node.sctid] = node\n",
+    "        else:\n",
+    "            if p_id not in cdb.cui2preferred_name:\n",
+    "                continue\n",
+    "            parent_node = Node(p_id, cdb.cui2preferred_name[p_id])\n",
+    "            node.parents[parent_node.sctid] = parent_node\n",
+    "            all_nodes[parent_node.sctid] = parent_node\n",
+    "            parent_node.children[node.sctid] = node\n",
+    "        if parent_node.sctid in valid_rels:\n",
+    "            set_rels(parent_node, valid_rels[parent_node.sctid])\n",
+    "    \n",
+    "for sctid, name in cdb.cui2preferred_name.items():\n",
+    "    n = all_nodes.get(sctid, Node(sctid, name))\n",
+    "    all_nodes[sctid] = n\n",
+    "    # add parents / children\n",
+    "    if sctid in valid_rels:\n",
+    "        set_rels(n, valid_rels[sctid])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Disorder of cardiovascular system (disorder) SCTID: 49601007\n",
+    "chlds = all_children(all_nodes['49601007'])\n",
+    "disorder_sctids = [c.sctid for c in set(chlds)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chlds = all_children(all_nodes['301095005'])\n",
+    "finding_sctids = [c.sctid for c in set(chlds)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_ids = set(disorder_sctids) | set(finding_sctids)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# mcv1_ids = [v[2:] for v in all_ids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "739788"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(cdb.cui2names)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json.dump(list(mcv1_ids), open('cardio_disorder_finding_sctids_mcv1.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json.dump(list(all_ids), open('cardio_disorder_finding_sctids.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sctids = json.load(open('cardio_disorder_finding_sctids.json'))\n",
+    "pretty_names = [cdb.cui2pretty_name[s_id] for s_id in sctids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "snomed_browser_links = [f'https://termbrowser.nhs.uk/?perspective=full&conceptId1={sct_id.replace(\"S-\", \"\")}&edition=uk-edition&release=v20210317&server=' +\n",
+    "                        'https://termbrowser.nhs.uk/sct-browser-api/snomed&langRefset=999001261000000100,999000691000001104' for sct_id in sctids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame({'SCTIDs': sctids, 'Concept Name': pretty_names, 'Browser Link': snomed_browser_links}).to_csv('cardio_disorder_concepts.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/medcat-trainer/notebook_docs/Processing_Annotations.ipynb b/medcat-trainer/notebook_docs/Processing_Annotations.ipynb
new file mode 100644
index 000000000..4ef56ec1d
--- /dev/null
+++ b/medcat-trainer/notebook_docs/Processing_Annotations.ipynb
@@ -0,0 +1,808 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MedCATtrainer Annotations\n",
+    "A notebook to demonstrate:\n",
+    "- How to download (aka export) annotations from the trainer. These downloads can also be used as export / transfer / backup option for MCTrainer.\n",
+    "- The MedCATTrainer downloaded annotations schema. Both w/ and w/o text have the same format, except from the source text. \n",
+    "- How to re-upload exported annotatinos into 'new' projects, this could be for recovery, or importing to a new Trainer deployment."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Downloading Annotations\n",
+    "This covers API driven downloading, and is also accessible from \\<hostname\\>:\\<port\\>/admin/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "URL = 'http://localhost:8001' # Should be set to your running deployment, IP / PORT if not running on localhost:8001"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Authorization': 'Token cc3e60dd2cc4231f7f74d1f30d35ce31d3154f7c'}"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# API access is via a username / password. Upon login the API auth endpoint provides an auth token that must be used for all following requests.\n",
+    "payload = {\"username\": \"admin\", \"password\": \"admin\"}\n",
+    "headers = {\n",
+    "    'Authorization': f'Token {json.loads(requests.post(\"http://localhost:8001/api/api-token-auth/\", json=payload).text)[\"token\"]}',\n",
+    "}\n",
+    "headers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# get project IDs to download\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# projects to download\n",
+    "projects_to_download = ','.join(str(r['id']) for r in resp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# further parameters available here are:\n",
+    "# - with_text: Boolean: to download the annotations with the source document text. This will automatically include the doc_name. Default: False\n",
+    "# - with_doc_name: Boolean: if with_text is False, but you still want to include doc names. Default: False\n",
+    "\n",
+    "resp = json.loads(requests.get(f'{URL}/api/download-annos/?project_ids={projects_to_download}&with_text=True', headers=headers).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# dump the output to a file.\n",
+    "json.dump(resp, open('trainer_export.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Processing MedCATTrainer Annotations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the annotations downloaded - as described: https://docs.cogstack.org/projects/medcat-trainer/en/latest/project_admin.html#downloading-annotations\n",
+    "projs = json.load(open('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json'))['projects']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Projects annotated:2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Number of annotation projects downloaded\n",
+    "print(f'Projects annotated:{len(projs)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys(['name', 'id', 'cuis', 'tuis', 'documents'])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# select first project\n",
+    "proj = projs[0]\n",
+    "# project level cui / tui filters are top level dict keys\n",
+    "proj.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "# of Documents: 2\n",
+      "# of Annotations: 47\n",
+      "# Validated Annotations: 47\n",
+      "# Correct Annotations: 32\n",
+      "# Correct Annotations: 15\n",
+      "# Correct Annotations: 0\n",
+      "# Correct Annotations: 0\n",
+      "# Correct Annotations: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Annotations are found inside each document.\n",
+    "print(f'# of Documents: {len(proj[\"documents\"])}')\n",
+    "print(f'# of Annotations: {sum([len(d[\"annotations\"]) for d in proj[\"documents\"]])}')\n",
+    "\n",
+    "# Annotations that have been marked by a human annotator\n",
+    "print(f'# Validated Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"validated\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked correct - (blue)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"correct\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked incorrect  - (red)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"deleted\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked terminated - (dark red)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"killed\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked alternative - (turquoise)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"alternative\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been manually created via right-click - 'Add Annotation', these will also be 'correct' == True\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"manually_created\"] == True])}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Meta Annotations \n",
+    "Each Meta Annotation will have the names of the task and associated values you've previously selected.\n",
+    "In this case we have: 'Negation' and 'Skip'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Correct Annotations that are Correct and Meta Annotation Temporarilty - Present, Experiencer - Patient"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Negation': {'name': 'Negation',\n",
+       "  'value': 'No',\n",
+       "  'acc': 1.0,\n",
+       "  'validated': True},\n",
+       " 'Skip': {'name': 'Skip', 'value': 'Yes', 'acc': 1.0, 'validated': True}}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proj['documents'][1]['annotations'][2]['meta_anns']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>doc_name</th>\n",
+       "      <th>anno_value</th>\n",
+       "      <th>cui</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>psychopathology</td>\n",
+       "      <td>C0004936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>constipated</td>\n",
+       "      <td>C0009806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>depression</td>\n",
+       "      <td>C0011570</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>depression</td>\n",
+       "      <td>C0011570</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>fatigued</td>\n",
+       "      <td>C0015672</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       doc_name       anno_value       cui\n",
+       "0  Psych Text 1  psychopathology  C0004936\n",
+       "1  Psych Text 1      constipated  C0009806\n",
+       "2  Psych Text 1       depression  C0011570\n",
+       "3  Psych Text 1       depression  C0011570\n",
+       "4  Psych Text 1         fatigued  C0015672"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "annos = []\n",
+    "for doc in proj['documents']:\n",
+    "    for a in doc['annotations']:\n",
+    "        meta_anns = a['meta_anns']\n",
+    "        if a['correct'] == True and len(meta_anns) != 0:\n",
+    "            # meta_anns are a list of dictionaries, each dict is a meta annotation. Order is not neccessarily consistent\n",
+    "            negation = meta_anns['Negation']\n",
+    "            skip = meta_anns['Skip']\n",
+    "            if negation['value'] == 'No' and skip['value'] == 'Yes':\n",
+    "                # pull out the doc_name, the text span value, and the concept\n",
+    "                annos.append({'doc_name': doc['name'], 'anno_value': a['value'], 'cui': a['cui']})\n",
+    "# make DataFrame\n",
+    "df = pd.DataFrame(annos)\n",
+    "df.head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparing a Second (or More) set of Annotations\n",
+    "Often we'll dual annotate projects and compute metrics to develop a gold standard.\n",
+    "- We'll compute metrics such [Inter Annotator Agreement (IIA)](https://en.wikipedia.org/wiki/Inter-rater_reliability) and [Cohen's Kappa](https://en.wikipedia.org/wiki/Cohen%27s_kappa).\n",
+    "- Metrics can be output for each concept for the concept recognition+linking tasks.\n",
+    "- For tasks with only a handful of concept filters we can compute the meta annotation task agreement, but often we will not have enough annotatinos for any meaningful. Instead we can group all meta annotations together to compute scores."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import cohen_kappa_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 46102,\n",
+       " 'user': 'admin',\n",
+       " 'cui': 'C1656589',\n",
+       " 'value': 'oppositional defiant disorder',\n",
+       " 'start': 9593,\n",
+       " 'end': 9622,\n",
+       " 'validated': True,\n",
+       " 'correct': False,\n",
+       " 'deleted': True,\n",
+       " 'alternative': False,\n",
+       " 'killed': False,\n",
+       " 'last_modified': '2020-05-22 10:33:23.830587+00:00',\n",
+       " 'manually_created': False,\n",
+       " 'acc': 0.392611944253081,\n",
+       " 'meta_anns': {}}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proj['documents'][0]['annotations'][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def anno_state(anno):\n",
+    "    if anno['deleted']:\n",
+    "        return 'del'\n",
+    "    if anno['alternative']:\n",
+    "        return 'alt'\n",
+    "    if anno['killed']:\n",
+    "        return 'kil'\n",
+    "    if anno['manually_created']:\n",
+    "        return 'man'\n",
+    "    return 'cor'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Concept Recognition + Linking Agreement per CUI across 2 projects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# only take documents completed by both\n",
+    "shared_docs = set([d['id'] for d in projs[0]['documents']]) & set([d['id'] for d in projs[1]['documents']])\n",
+    "projs[0]['documents'] = [d for d in projs[0]['documents'] if d['id'] in shared_docs]\n",
+    "projs[1]['documents'] = [d for d in projs[1]['documents'] if d['id'] in shared_docs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project 1 annos\n",
+    "proj1_annos_cuis = {f'{d[\"id\"]}:{a[\"start\"]}': a['cui'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "proj1_annos_states = {f'{d[\"id\"]}:{a[\"start\"]}': anno_state(a) for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "# project 2 annos\n",
+    "proj2_annos_cuis = {f'{d[\"id\"]}:{a[\"start\"]}': a['cui'] for d in projs[1]['documents'] for a in d['annotations']}\n",
+    "proj2_annos_states = {f'{d[\"id\"]}:{a[\"start\"]}': anno_state(a) for d in projs[1]['documents'] for a in d['annotations']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_cuis = set(proj1_annos_cuis.values()) | set(proj2_annos_cuis.values())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cui_ck = {}\n",
+    "for cui in all_cuis:\n",
+    "    cui_tuples = []\n",
+    "    p1 = {k:v for k,v in proj1_annos_cuis.items() if v == cui}\n",
+    "    p2 = {k:v for k,v in proj2_annos_cuis.items() if v == cui}\n",
+    "    for anno_key in set(p1.keys()) | set(p2.keys()):\n",
+    "        cui_tuples.append((proj1_annos_states.get(anno_key, 'na'), proj2_annos_states.get(anno_key, 'na')))\n",
+    "    cui_ck[cui] = cui_tuples"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## IIA Per CUI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iia_per_cui = {cui: (len([i for i in v if i[0] == i[1]]) / len(v)) * 100 for cui, v in cui_ck.items()}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Cohen's Kappa Per CUI\n",
+    "Note: for cuis with only one label it can be "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages/sklearn/metrics/_classification.py:620: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)\n"
+     ]
+    }
+   ],
+   "source": [
+    "cohens_kappa_per_cui = {k: cohen_kappa_score([i[0] for i in v], [i[1] for i in v]) for k,v in cui_ck.items()}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Meta Annotation\n",
+    "- Group all annos together for each task and compute IIA, CK"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project 1 meta annos\n",
+    "proj1_meta_annos_neg = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Negation', {'value': 'na'})['value'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "proj1_meta_annos_skip = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Skip', {'value': 'na'})['value'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "# project 2 meta annos\n",
+    "proj2_meta_annos_neg = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Negation', {'value': 'na'})['value'] for d in projs[1]['documents'] for a in d['annotations']}\n",
+    "proj2_meta_annos_skip = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Skip', {'value': 'na'})['value'] for d in projs[1]['documents'] for a in d['annotations']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove na examples, these would be incorret or terminated exampels that have no meta anno value.\n",
+    "def remove_na(meta_annos_dict):\n",
+    "    return {k:v for k,v in meta_annos_dict.items() if v != 'na'}\n",
+    "proj1_meta_annos_neg = remove_na(proj1_meta_annos_neg)\n",
+    "proj1_meta_annos_skip = remove_na(proj1_meta_annos_skip)\n",
+    "proj2_meta_annos_neg = remove_na(proj2_meta_annos_neg)\n",
+    "proj2_meta_annos_skip = remove_na(proj2_meta_annos_skip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Take meta annos from each project and combine across projects,\n",
+    "# - A more strict measure: defaulting to 'na' if there is no appropriate meta anno in the 'other' project, to use this one swap '&' (intersection) with \"|\" a union.\n",
+    "# - A more fair measure: removing the instance where there was no meta anno in the other project. We use this one below.\n",
+    "neg_annos = []\n",
+    "for anno_key in set(proj1_meta_annos_neg.keys()) & set(proj2_meta_annos_neg.keys()):\n",
+    "    neg_annos.append((proj1_meta_annos_neg.get(anno_key, 'na'), proj2_meta_annos_neg.get(anno_key, 'na')))\n",
+    "\n",
+    "skip_annos = []\n",
+    "for anno_key in set(proj1_meta_annos_skip.keys()) & set(proj2_meta_annos_skip.keys()):\n",
+    "    skip_annos.append(((proj1_meta_annos_skip.get(anno_key, 'na')), proj2_meta_annos_skip.get(anno_key, 'na')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "iia neg: 100.0\n",
+      "iia skip: 100.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "iia_neg = (len([a for a in neg_annos if a[0] == a[1]]) / len(neg_annos)) * 100\n",
+    "print('iia neg:', iia_neg)\n",
+    "iia_skip = (len([a for a in skip_annos if a[0] == a[1]]) / len(skip_annos)) * 100\n",
+    "print('iia skip:', iia_skip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cohen's kappa neg: nan\n",
+      "cohen's kappa skip: nan\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/tom/anaconda3/envs/cattrainer/lib/python3.7/site-packages/sklearn/metrics/_classification.py:604: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)\n"
+     ]
+    }
+   ],
+   "source": [
+    "ck_neg = cohen_kappa_score([v[0] for v in neg_annos], [v[1] for v in neg_annos])\n",
+    "print(\"cohen's kappa neg:\", ck_neg)\n",
+    "ck_skip = cohen_kappa_score([v[0] for v in skip_annos], [v[1] for v in skip_annos])\n",
+    "print(\"cohen's kappa skip:\", ck_skip)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have 'nan's here as there are no other values exist in the intersection of values so cohen's kappa is undefined. We can report 100% IIA though!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Uploading Annotations\n",
+    "This is useful if annotations have been exported, and need to be systematically modified or if a new instance of Trainer is required to be used for further annotations\n",
+    "\n",
+    "This will use the previously exported trainer download"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_data = json.load(open('trainer_export.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# filter out project data that is empty"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_data['projects'] = [p for p in project_data['projects'] if len(p['documents']) > 0 ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# current projects projects\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# upload previoulsy exported projects\n",
+    "resp = requests.post(f'{URL}/api/upload-deployment/', json=project_data).text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\"successfully uploaded\"\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(resp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'},\n",
+      " {'id': 81,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone) '\n",
+      "          'IMPORTED'},\n",
+      " {'id': 82,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone) IMPORTED'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# to show the newly uploaded projects\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb b/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb
new file mode 100644
index 000000000..3b3e74cbd
--- /dev/null
+++ b/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb
@@ -0,0 +1,1726 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Given a MedCATtrainer Export\n",
+    "- We can re-train, cross validate and save down a new MedCAT model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:17.606576Z",
+     "start_time": "2020-09-08T11:27:17.585786Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: medcat in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (0.3.8.0)\n",
+      "Requirement already satisfied: scipy~=1.4 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.5.2)\n",
+      "Requirement already satisfied: gensim~=3.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (3.8.3)\n",
+      "Requirement already satisfied: sklearn~=0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.0)\n",
+      "Requirement already satisfied: pandas~=1.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.1.1)\n",
+      "Requirement already satisfied: torch~=1.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.4.0)\n",
+      "Requirement already satisfied: Flask~=1.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.1.2)\n",
+      "Requirement already satisfied: tokenizers~=0.8 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.8.1)\n",
+      "Collecting spacy==2.2.4\n",
+      "  Using cached https://files.pythonhosted.org/packages/f8/8e/bd5058daa751a8089e3106b1b9c8db1e86e78d80b13e28af0a37c7ad175f/spacy-2.2.4-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: torchvision~=0.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.5.0)\n",
+      "Requirement already satisfied: numpy~=1.18 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.18.1)\n",
+      "Requirement already satisfied: six>=1.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from gensim~=3.7->medcat) (1.13.0)\n",
+      "Requirement already satisfied: smart-open>=1.8.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from gensim~=3.7->medcat) (2.1.1)\n",
+      "Requirement already satisfied: scikit-learn in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from sklearn~=0.0->medcat) (0.23.2)\n",
+      "Requirement already satisfied: pytz>=2017.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pandas~=1.0->medcat) (2019.3)\n",
+      "Requirement already satisfied: python-dateutil>=2.7.3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pandas~=1.0->medcat) (2.8.1)\n",
+      "Requirement already satisfied: itsdangerous>=0.24 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (1.1.0)\n",
+      "Requirement already satisfied: Werkzeug>=0.15 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (1.0.1)\n",
+      "Requirement already satisfied: Jinja2>=2.10.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (2.11.2)\n",
+      "Requirement already satisfied: click>=5.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (7.1.2)\n",
+      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (4.41.1)\n",
+      "Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (0.6.0)\n",
+      "Requirement already satisfied: blis<0.5.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (0.4.1)\n",
+      "Requirement already satisfied: plac<1.2.0,>=0.9.6 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.1.3)\n",
+      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (2.22.0)\n",
+      "Requirement already satisfied: srsly<1.1.0,>=1.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.2)\n",
+      "Requirement already satisfied: catalogue<1.1.0,>=0.0.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.0)\n",
+      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (2.0.3)\n",
+      "Collecting thinc==7.4.0\n",
+      "  Using cached https://files.pythonhosted.org/packages/27/83/04fa4d7abf1989f1416becfc951eb26891ecb09207ca62907c4004cd23d9/thinc-7.4.0-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (3.0.2)\n",
+      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.2)\n",
+      "Requirement already satisfied: setuptools in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: pillow>=4.1.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from torchvision~=0.5.0->medcat) (7.2.0)\n",
+      "Requirement already satisfied: boto in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from smart-open>=1.8.1->gensim~=3.7->medcat) (2.49.0)\n",
+      "Requirement already satisfied: boto3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from smart-open>=1.8.1->gensim~=3.7->medcat) (1.14.56)\n",
+      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from scikit-learn->sklearn~=0.0->medcat) (2.1.0)\n",
+      "Requirement already satisfied: joblib>=0.11 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from scikit-learn->sklearn~=0.0->medcat) (0.16.0)\n",
+      "Requirement already satisfied: MarkupSafe>=0.23 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Jinja2>=2.10.1->Flask~=1.1->medcat) (1.1.1)\n",
+      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (3.0.4)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (1.25.8)\n",
+      "Requirement already satisfied: idna<2.9,>=2.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (2.8)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (2019.11.28)\n",
+      "Requirement already satisfied: botocore<1.18.0,>=1.17.56 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (1.17.56)\n",
+      "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.3.3)\n",
+      "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.10.0)\n",
+      "Requirement already satisfied: docutils<0.16,>=0.10 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from botocore<1.18.0,>=1.17.56->boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.15.2)\n",
+      "\u001b[31mERROR: en-core-sci-md 0.2.5 has requirement spacy>=2.3.0, but you'll have spacy 2.2.4 which is incompatible.\u001b[0m\n",
+      "Installing collected packages: thinc, spacy\n",
+      "  Found existing installation: thinc 7.4.1\n",
+      "    Uninstalling thinc-7.4.1:\n",
+      "      Successfully uninstalled thinc-7.4.1\n",
+      "  Found existing installation: spacy 2.3.2\n",
+      "    Uninstalling spacy-2.3.2:\n",
+      "      Successfully uninstalled spacy-2.3.2\n",
+      "Successfully installed spacy-2.2.4 thinc-7.4.0\n",
+      "Collecting https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+      "  Using cached https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+      "Requirement already satisfied (use --upgrade to upgrade): en-core-sci-md==0.2.5 from https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages\n",
+      "Collecting spacy>=2.3.0\n",
+      "  Using cached https://files.pythonhosted.org/packages/2d/4a/9a3b4cc6da723645b72a88b77f0db0fd413749081f97dea548f0327e89e6/spacy-2.3.2-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (2.22.0)\n",
+      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (2.0.3)\n",
+      "Requirement already satisfied: plac<1.2.0,>=0.9.6 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.1.3)\n",
+      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (3.0.2)\n",
+      "Requirement already satisfied: blis<0.5.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (0.4.1)\n",
+      "Requirement already satisfied: srsly<1.1.0,>=1.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.2)\n",
+      "Requirement already satisfied: numpy>=1.15.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.18.1)\n",
+      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.2)\n",
+      "Collecting thinc==7.4.1\n",
+      "  Using cached https://files.pythonhosted.org/packages/d7/f3/5f0003393817056f317df05a802611a62b25650dc03b240faf056b862ad6/thinc-7.4.1-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (4.41.1)\n",
+      "Requirement already satisfied: setuptools in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (0.6.0)\n",
+      "Requirement already satisfied: catalogue<1.1.0,>=0.0.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.0)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (1.25.8)\n",
+      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (3.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (2019.11.28)\n",
+      "Requirement already satisfied: idna<2.9,>=2.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (2.8)\n",
+      "Building wheels for collected packages: en-core-sci-md\n",
+      "  Building wheel for en-core-sci-md (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for en-core-sci-md: filename=en_core_sci_md-0.2.5-cp38-none-any.whl size=79962016 sha256=695ef7e15c43fc8d9f6f628d7a432349cec859d6fc0c72f4b78aca0b0c16ba5b\n",
+      "  Stored in directory: /home/ubuntu/.cache/pip/wheels/b8/ce/53/ed583ce748006061c2643822e610e36be61cb000d55e12180f\n",
+      "Successfully built en-core-sci-md\n",
+      "\u001b[31mERROR: medcat 0.3.8.0 has requirement spacy==2.2.4, but you'll have spacy 2.3.2 which is incompatible.\u001b[0m\n",
+      "Installing collected packages: thinc, spacy\n",
+      "  Found existing installation: thinc 7.4.0\n",
+      "    Uninstalling thinc-7.4.0:\n",
+      "      Successfully uninstalled thinc-7.4.0\n",
+      "  Found existing installation: spacy 2.2.4\n",
+      "    Uninstalling spacy-2.2.4:\n",
+      "      Successfully uninstalled spacy-2.2.4\n",
+      "Successfully installed spacy-2.3.2 thinc-7.4.1\n",
+      "Requirement already satisfied: ipywidgets in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (7.5.1)\n",
+      "Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (3.5.1)\n",
+      "Requirement already satisfied: traitlets>=4.3.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (4.3.3)\n",
+      "Requirement already satisfied: ipykernel>=4.5.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (5.1.3)\n",
+      "Requirement already satisfied: ipython>=4.0.0; python_version >= \"3.3\" in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (7.11.1)\n",
+      "Requirement already satisfied: nbformat>=4.2.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (5.0.7)\n",
+      "Requirement already satisfied: notebook>=4.4.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from widgetsnbextension~=3.5.0->ipywidgets) (6.1.3)\n",
+      "Requirement already satisfied: six in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (1.13.0)\n",
+      "Requirement already satisfied: decorator in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (4.4.1)\n",
+      "Requirement already satisfied: ipython-genutils in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (0.2.0)\n",
+      "Requirement already satisfied: jupyter-client in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.3.4)\n",
+      "Requirement already satisfied: tornado>=4.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (6.0.3)\n",
+      "Requirement already satisfied: backcall in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.1.0)\n",
+      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (3.0.2)\n",
+      "Requirement already satisfied: pickleshare in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.7.5)\n",
+      "Requirement already satisfied: pygments in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (2.5.2)\n",
+      "Requirement already satisfied: jedi>=0.10 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.15.2)\n",
+      "Requirement already satisfied: pexpect; sys_platform != \"win32\" in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (4.7.0)\n",
+      "Requirement already satisfied: setuptools>=18.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets) (3.2.0)\n",
+      "Requirement already satisfied: jupyter-core in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets) (4.6.1)\n",
+      "Requirement already satisfied: argon2-cffi in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (20.1.0)\n",
+      "Requirement already satisfied: nbconvert in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (5.6.1)\n",
+      "Requirement already satisfied: Send2Trash in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.5.0)\n",
+      "Requirement already satisfied: terminado>=0.8.3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.3)\n",
+      "Requirement already satisfied: prometheus-client in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.0)\n",
+      "Requirement already satisfied: pyzmq>=17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (18.1.0)\n",
+      "Requirement already satisfied: jinja2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.11.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets) (2.8.1)\n",
+      "Requirement already satisfied: wcwidth in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.1.7)\n",
+      "Requirement already satisfied: parso>=0.5.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.5.2)\n",
+      "Requirement already satisfied: ptyprocess>=0.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.6.0)\n",
+      "Requirement already satisfied: pyrsistent>=0.14.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets) (0.16.0)\n",
+      "Requirement already satisfied: attrs>=17.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets) (20.2.0)\n",
+      "Requirement already satisfied: cffi>=1.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.14.2)\n",
+      "Requirement already satisfied: testpath in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.4.4)\n",
+      "Requirement already satisfied: defusedxml in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.6.0)\n",
+      "Requirement already satisfied: bleach in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (3.1.5)\n",
+      "Requirement already satisfied: entrypoints>=0.2.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.3)\n",
+      "Requirement already satisfied: mistune<2,>=0.8.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.4)\n",
+      "Requirement already satisfied: pandocfilters>=1.4.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.4.2)\n",
+      "Requirement already satisfied: MarkupSafe>=0.23 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.1.1)\n",
+      "Requirement already satisfied: pycparser in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.20)\n",
+      "Requirement already satisfied: packaging in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (20.4)\n",
+      "Requirement already satisfied: webencodings in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.5.1)\n",
+      "Requirement already satisfied: pyparsing>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.4.7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# install medcat\n",
+    "!pip install \"medcat[spacy,meta-cat,rel-cat,deid]>=2.0.0\"\n",
+    "# scispacy medium models\n",
+    "!pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+    "# ipywidgets\n",
+    "!pip install ipywidgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.270631Z",
+     "start_time": "2020-09-08T11:27:23.550151Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "from medcat.cat import CAT\n",
+    "from medcat.cdb import CDB\n",
+    "from medcat.vocab import Vocab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.322602Z",
+     "start_time": "2020-09-08T11:27:34.300987Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# insert your own model paths\n",
+    "cdb_path = ''\n",
+    "vocab_path = ''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2020-09-08 11:05:41--  https://zkcl.s3-eu-west-1.amazonaws.com/embeddings.npy\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 38162528 (36M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/embeddings.npy.1’\n",
+      "\n",
+      "embeddings.npy.1    100%[===================>]  36.39M  29.6MB/s    in 1.2s    \n",
+      "\n",
+      "2020-09-08 11:05:43 (29.6 MB/s) - ‘./data/embeddings.npy.1’ saved [38162528/38162528]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://zkcl.s3-eu-west-1.amazonaws.com/medmen-merges.txt\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 152931 (149K) [text/plain]\n",
+      "Saving to: ‘./data/medmen-merges.txt.1’\n",
+      "\n",
+      "medmen-merges.txt.1 100%[===================>] 149.35K  --.-KB/s    in 0.07s   \n",
+      "\n",
+      "2020-09-08 11:05:43 (2.11 MB/s) - ‘./data/medmen-merges.txt.1’ saved [152931/152931]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://zkcl.s3-eu-west-1.amazonaws.com/medmen-vocab.json\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 254017 (248K) [application/json]\n",
+      "Saving to: ‘./data/medmen-vocab.json.1’\n",
+      "\n",
+      "medmen-vocab.json.1 100%[===================>] 248.06K  --.-KB/s    in 0.05s   \n",
+      "\n",
+      "2020-09-08 11:05:43 (5.24 MB/s) - ‘./data/medmen-vocab.json.1’ saved [254017/254017]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://s3-eu-west-1.amazonaws.com/zkcl/vocab.dat\n",
+      "Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 52.218.88.51\n",
+      "Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.88.51|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 274445907 (262M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/vocab.dat.1’\n",
+      "\n",
+      "vocab.dat.1         100%[===================>] 261.73M  36.6MB/s    in 7.3s    \n",
+      "\n",
+      "2020-09-08 11:05:51 (35.9 MB/s) - ‘./data/vocab.dat.1’ saved [274445907/274445907]\n",
+      "\n",
+      "--2020-09-08 11:05:51--  https://s3-eu-west-1.amazonaws.com/zkcl/cdb-medmen.dat\n",
+      "Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 52.218.85.43\n",
+      "Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.85.43|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 180335834 (172M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/cdb-medmen.dat.1’\n",
+      "\n",
+      "cdb-medmen.dat.1      7%[>                   ]  12.10M  12.0MB/s               ^C\n"
+     ]
+    }
+   ],
+   "source": [
+    "# example_models\n",
+    "# meta anno model: tokeniser models trained the github MedCAT tutorials\n",
+    "# https://colab.research.google.com/drive/1rxzBZCTDcqsIjRXZ3u4yRZFOkUCCuwyy\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/embeddings.npy -P ./data/\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/medmen-merges.txt -P ./data/\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/medmen-vocab.json -P ./data/\n",
+    "\n",
+    "# Get MedCAT models\n",
+    "!wget https://s3-eu-west-1.amazonaws.com/zkcl/vocab.dat -P ./data/\n",
+    "!wget https://s3-eu-west-1.amazonaws.com/zkcl/cdb-medmen.dat -P ./data/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.434536Z",
+     "start_time": "2020-09-08T11:27:34.356662Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "cdb_path = './data/cdb-medmen.dat'\n",
+    "vocab_path = './data/vocab.dat'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:59.782731Z",
+     "start_time": "2020-09-08T11:27:34.464792Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "cdb = CDB.load(cdb_path)\n",
+    "vocab = Vocab.load(vocab_path)\n",
+    "cat = CAT(cdb, vocab)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:37:38.546552Z",
+     "start_time": "2020-09-08T11:37:21.876749Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats project', max=2.0, style=ProgressStyle(description_…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats document', max=2.0, style=ProgressStyle(description…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats document', max=3.0, style=ProgressStyle(description…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Epoch: 0, Prec: 0.36538461538461536, Rec: 0.8444444444444444, F1: 0.6049145299145299\n",
+      "\n",
+      "Docs with false positives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "Docs with false negatives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "\n",
+      "\n",
+      "False Positives\n",
+      "\n",
+      "patient                                                                - N-00123              -         23\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          6\n",
+      "spectrum disorder                                                      - C0004936             -          6\n",
+      "constipation                                                           - C0009806             -          5\n",
+      "drug use                                                               - C0242510             -          4\n",
+      "psychiatric symptoms                                                   - C0233401             -          3\n",
+      "disease                                                                - C0012634             -          3\n",
+      "Alcohol Problems                                                       - C0549393             -          2\n",
+      "abnormal behaviors                                                     - C0233514             -          2\n",
+      "disruptive behaviour disorder                                          - C0012734             -          2\n",
+      "\n",
+      "\n",
+      "False Negatives\n",
+      "\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          2\n",
+      "spectrum disorder                                                      - C0004936             -          1\n",
+      "\n",
+      "\n",
+      "True Positives\n",
+      "\n",
+      "symptoms                                                               - C1457887             -         11\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          4\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          4\n",
+      "disease                                                                - C0012634             -          3\n",
+      "posttraumatic stress symptoms                                          - C0038436             -          2\n",
+      "ADHD                                                                   - C1263846             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "constipation                                                           - C0009806             -          1\n",
+      "drug use                                                               - C0242510             -          1\n",
+      "**************************************************************************************************************\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=1.0, style=ProgressStyle(description_width='i…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Project', max=2.0, style=ProgressStyle(description_width=…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Document', max=2.0, style=ProgressStyle(description_width…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Document', max=3.0, style=ProgressStyle(description_width…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats project', max=2.0, style=ProgressStyle(description_…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats document', max=2.0, style=ProgressStyle(description…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(FloatProgress(value=0.0, description='Stats document', max=3.0, style=ProgressStyle(description…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch: 1, Prec: 0.35514018691588783, Rec: 0.8444444444444444, F1: 0.5997923156801661\n",
+      "\n",
+      "Docs with false positives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "Docs with false negatives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "\n",
+      "\n",
+      "False Positives\n",
+      "\n",
+      "patient                                                                - N-00123              -         37\n",
+      "spectrum disorder                                                      - C0004936             -         10\n",
+      "psychiatric symptoms                                                   - C0233401             -          3\n",
+      "constipation                                                           - C0009806             -          3\n",
+      "Alcohol Problems                                                       - C0549393             -          2\n",
+      "disruptive behaviour disorder                                          - C0012734             -          2\n",
+      "oppositional defiant disorder                                          - C1656589             -          2\n",
+      "acute ischemic stroke                                                  - C0948008             -          2\n",
+      "drug use                                                               - C0242510             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "\n",
+      "\n",
+      "False Negatives\n",
+      "\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          2\n",
+      "disease                                                                - C0012634             -          1\n",
+      "\n",
+      "\n",
+      "True Positives\n",
+      "\n",
+      "symptoms                                                               - C1457887             -         11\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          4\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          4\n",
+      "posttraumatic stress symptoms                                          - C0038436             -          2\n",
+      "ADHD                                                                   - C1263846             -          2\n",
+      "spectrum disorder                                                      - C0004936             -          2\n",
+      "disease                                                                - C0012634             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "constipation                                                           - C0009806             -          1\n",
+      "**************************************************************************************************************\n",
+      "\n",
+      "\r"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "({'N-00123': 37,\n",
+       "  'C0004936': 10,\n",
+       "  'C0233401': 3,\n",
+       "  'C0009806': 3,\n",
+       "  'C0549393': 2,\n",
+       "  'C0012734': 2,\n",
+       "  'C1656589': 2,\n",
+       "  'C0948008': 2,\n",
+       "  'C0242510': 2,\n",
+       "  'C0018799': 2,\n",
+       "  'C0011884': 2,\n",
+       "  'C0015672': 1,\n",
+       "  'C1457887': 1},\n",
+       " {'C0948008': 4, 'C0011570': 2, 'C0012634': 1},\n",
+       " {'C1457887': 11,\n",
+       "  'C0011884': 4,\n",
+       "  'C0948008': 4,\n",
+       "  'C0011570': 4,\n",
+       "  'C0038436': 2,\n",
+       "  'C1263846': 2,\n",
+       "  'C0004936': 2,\n",
+       "  'C0012634': 2,\n",
+       "  'C0018799': 2,\n",
+       "  'C0009806': 1,\n",
+       "  'C0242510': 1,\n",
+       "  'C0015672': 1,\n",
+       "  'C0233401': 1,\n",
+       "  'N-00123': 1},\n",
+       " {'C1457887': 0.9166666666666666,\n",
+       "  'C0011884': 0.6666666666666666,\n",
+       "  'C0948008': 0.6666666666666666,\n",
+       "  'C0011570': 1.0,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 0.16666666666666666,\n",
+       "  'C0012634': 1.0,\n",
+       "  'C0018799': 0.5,\n",
+       "  'C0009806': 0.25,\n",
+       "  'C0242510': 0.3333333333333333,\n",
+       "  'C0015672': 0.5,\n",
+       "  'C0233401': 0.25,\n",
+       "  'N-00123': 0.02631578947368421},\n",
+       " {'C1457887': 1.0,\n",
+       "  'C0011884': 1.0,\n",
+       "  'C0948008': 0.5,\n",
+       "  'C0011570': 0.6666666666666666,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 1.0,\n",
+       "  'C0012634': 0.6666666666666666,\n",
+       "  'C0018799': 1.0,\n",
+       "  'C0009806': 1.0,\n",
+       "  'C0242510': 1.0,\n",
+       "  'C0015672': 1.0,\n",
+       "  'C0233401': 1.0,\n",
+       "  'N-00123': 1.0},\n",
+       " {'C1457887': 0.9583333333333333,\n",
+       "  'C0011884': 0.8333333333333333,\n",
+       "  'C0948008': 0.5833333333333333,\n",
+       "  'C0011570': 0.8333333333333333,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 0.5833333333333334,\n",
+       "  'C0012634': 0.8333333333333333,\n",
+       "  'C0018799': 0.75,\n",
+       "  'C0009806': 0.625,\n",
+       "  'C0242510': 0.6666666666666666,\n",
+       "  'C0015672': 0.75,\n",
+       "  'C0233401': 0.625,\n",
+       "  'N-00123': 0.5131578947368421},\n",
+       " {'C1656589': 2,\n",
+       "  'C0012734': 2,\n",
+       "  'C0233401': 4,\n",
+       "  'C0233514': 2,\n",
+       "  'C0549393': 2,\n",
+       "  'C0004936': 5,\n",
+       "  'C0009806': 6,\n",
+       "  'C0021167': 2,\n",
+       "  'C0011570': 13,\n",
+       "  'C0015672': 4,\n",
+       "  'C1457887': 12,\n",
+       "  'C0012634': 9,\n",
+       "  'C0948008': 15,\n",
+       "  'C0085762': 2,\n",
+       "  'C0018799': 4,\n",
+       "  'C0038436': 2,\n",
+       "  'C1263846': 2,\n",
+       "  'C0242510': 3,\n",
+       "  'C0011884': 8,\n",
+       "  'N-00123': 1},\n",
+       " {'fp': {'N-00123': [{'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns r',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5472404361613998,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ': Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.9999966838099438,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 's and things do not go well.\\n\\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planne',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5532864297857628,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'fe. He currently is taking MiraLax.\\n\\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a hom',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6040666923302607,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'father was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relati',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.42350203252318674,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the pare',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4832092996461273,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made thing',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.671551949403553,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'd not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.589267539211561,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favor',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6120513410581931,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the br',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5449096026356579,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ween the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5420254137730696,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'as treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\\n\\nIDENTI',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.7253207865531603,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': \"to communication. The information gathered was based on the patient's self-report and objective testing and observation. His at\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.43483201471764166,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns r',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5472404361613998,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 's and things do not go well.\\n\\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planne',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5532864297857628,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'fe. He currently is taking MiraLax.\\n\\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a hom',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6040666923302607,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'father was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relati',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.42350203252318674,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the pare',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4832092996461273,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made thing',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.671551949403553,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'd not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.589267539211561,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favor',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6120513410581931,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the br',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5449096026356579,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ween the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5420254137730696,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'as treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\\n\\nIDENTI',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.7253207865531603,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': \"to communication. The information gathered was based on the patient's self-report and objective testing and observation. His at\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.43483201471764166,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at C',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5283311726903505,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'siderable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, s',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4746482211315399,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'tes at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is agains',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.534865953069171,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': ' saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6045076382202238,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'e of deep breaths, and that passes. It is reported that the patient has \"always been this way\" and that is not a change in her ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.539655647752385,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'eriod were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5128807868205427,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ve any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5753557663354744,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ay's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on sever\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5683816756271438,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'e family was denied.\\n\\nSOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonel',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5474165077033848,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ther reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, b\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4851883822659569,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'at she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely,',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5300804533979124,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes i',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.48700989852026033,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0549393': [{'text': 'No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmo',\n",
+       "     'cui': 'C0549393',\n",
+       "     'source value': 'alcohol problems',\n",
+       "     'acc': 0.2641167376667131,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmo',\n",
+       "     'cui': 'C0549393',\n",
+       "     'source value': 'alcohol problems',\n",
+       "     'acc': 0.2641167376667131,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0233401': [{'text': 'ernal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\\n\\nMother reported that the marria',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.24826490985627295,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ernal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\\n\\nMother reported that the marria',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.24826490985627295,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ell as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.47270168276497093,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C0009806': [{'text': 'ON: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it wou',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipation',\n",
+       "     'acc': 0.2082175422188805,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards ',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipated',\n",
+       "     'acc': 0.3293009898417058,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ON: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it wou',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipation',\n",
+       "     'acc': 0.2082175422188805,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0012734': [{'text': 'ncopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant',\n",
+       "     'cui': 'C0012734',\n",
+       "     'source value': 'disruptive behavior disorder',\n",
+       "     'acc': 0.5188153848991972,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ncopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant',\n",
+       "     'cui': 'C0012734',\n",
+       "     'source value': 'disruptive behavior disorder',\n",
+       "     'acc': 0.5188153848991972,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C1656589': [{'text': 've behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, a',\n",
+       "     'cui': 'C1656589',\n",
+       "     'source value': 'oppositional defiant disorder',\n",
+       "     'acc': 0.2958425282198353,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 've behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, a',\n",
+       "     'cui': 'C1656589',\n",
+       "     'source value': 'oppositional defiant disorder',\n",
+       "     'acc': 0.2958425282198353,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0004936': [{'text': ' appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary,',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'ILLNESS',\n",
+       "     'acc': 0.47487681037033896,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.5275874362840111,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'social personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nRECOMMENDATIONS AND PLAN: I recommend Mr. ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'Disorder',\n",
+       "     'acc': 0.3455350717032499,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'd. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has al',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'psychopathology',\n",
+       "     'acc': 0.23794721358274204,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': ' appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary,',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'ILLNESS',\n",
+       "     'acc': 0.47487681037033896,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': ', and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or ho',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorders',\n",
+       "     'acc': 0.6117808973788813,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.5275874362840111,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'social personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nRECOMMENDATIONS AND PLAN: I recommend Mr. ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'Disorder',\n",
+       "     'acc': 0.3455350717032499,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'by. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother w',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'illnesses',\n",
+       "     'acc': 0.4433241651063592,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'at the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the \"seizure ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.423088564708342,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0948008': [{'text': 'her sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depressio',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2362106390803465,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that t',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2543183337077788,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0242510': [{'text': 'e patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No slee',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'use',\n",
+       "     'acc': 0.5415151393071053,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'e biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with meth',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'drug',\n",
+       "     'acc': 0.42210970697497835,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0015672': [{'text': 'ubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things so',\n",
+       "     'cui': 'C0015672',\n",
+       "     'source value': 'fatigued',\n",
+       "     'acc': 0.3064013556824449,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0018799': [{'text': 'etween The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to ',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart',\n",
+       "     'acc': 0.3445859892414807,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'italizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointesti',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart disease',\n",
+       "     'acc': 0.48893815849853467,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C1457887': [{'text': 'ave hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.4124735688339169,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C0011884': [{'text': \"ions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unkno\",\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.25753479501299037,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ith an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since A',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.28702729946087374,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}]},\n",
+       "  'fn': {'C0948008': [{'text': ' denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has always soiled, ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'stipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'els that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': \" two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparen\",\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0011570': [{'text': 'oughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide att',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depressive',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 's overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of an',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0012634': [{'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}]},\n",
+       "  'tp': {'C0011884': [{'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral actin',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.4340862503605942,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': \"ions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unkno\",\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.25753479501299037,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'ith an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since A',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.28702729946087374,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral actin',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.4340862503605942,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0948008': [{'text': 'was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.29847486773482124,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'her sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depressio',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2362106390803465,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that t',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2543183337077788,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.29847486773482124,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C1457887': [{'text': 'es thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting th',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8225713484970468,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'sy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8346240487374752,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7909687632269117,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': '. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.6608860624240025,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'SD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she repo',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7533030511234585,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ave hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.4124735688339169,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'es thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting th',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8225713484970468,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'sy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8346240487374752,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7909687632269117,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': '. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.6608860624240025,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'SD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she repo',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7533030511234585,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0011570': [{'text': 'at the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5410288841816506,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'n regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5810060995754261,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'at the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5410288841816506,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'n regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5810060995754261,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0038436': [{'text': ' any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other sy',\n",
+       "     'cui': 'C0038436',\n",
+       "     'source value': 'PTSD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other sy',\n",
+       "     'cui': 'C0038436',\n",
+       "     'source value': 'PTSD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C1263846': [{'text': 'ation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychop',\n",
+       "     'cui': 'C1263846',\n",
+       "     'source value': 'ADHD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychop',\n",
+       "     'cui': 'C1263846',\n",
+       "     'source value': 'ADHD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0004936': [{'text': 'd. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has al',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'psychopathology',\n",
+       "     'acc': 0.23794721358274204,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ', and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or ho',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorders',\n",
+       "     'acc': 0.6117808973788813,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0012634': [{'text': 'e several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was sev',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'Diseases',\n",
+       "     'acc': 0.6652453957177196,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was sev',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'Diseases',\n",
+       "     'acc': 0.6652453957177196,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0009806': [{'text': 'that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards ',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipated',\n",
+       "     'acc': 0.3293009898417058,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0242510': [{'text': 'e patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No slee',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'use',\n",
+       "     'acc': 0.5415151393071053,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0015672': [{'text': 'ubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things so',\n",
+       "     'cui': 'C0015672',\n",
+       "     'source value': 'fatigued',\n",
+       "     'acc': 0.3064013556824449,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0018799': [{'text': 'etween The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to ',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart',\n",
+       "     'acc': 0.3445859892414807,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'italizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointesti',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart disease',\n",
+       "     'acc': 0.48893815849853467,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0233401': [{'text': 'ell as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.47270168276497093,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'N-00123': [{'text': ': Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.9999966838099438,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}]}})"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "with open(\"example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json\") as f:\n",
+    "    data = json.load(f)\n",
+    "cat.trainer.train_supervised_raw(\n",
+    "    data=data,\n",
+    "    nepochs=1,\n",
+    "    print_stats=True,\n",
+    "    use_filters=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Can use scikit learn sklearn.model_selection.train_test_split to split and CV the dataset..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:02.394607Z",
+     "start_time": "2020-09-08T15:04:02.358514Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from medcat.components.addons.meta_cat import MetaCAT\n",
+    "from tokenizers import ByteLevelBPETokenizer\n",
+    "from itertools import chain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T14:46:39.070589Z",
+     "start_time": "2020-09-08T14:46:38.965765Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "# Tokenizer instantiation\n",
+    "tokenizer = ByteLevelBPETokenizer(vocab_file='data/medmen-vocab.json', merges_file='data/medmen-merges.txt')\n",
+    "embeddings = np.load(open('data/embeddings.npy', 'rb'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T14:59:26.370596Z",
+     "start_time": "2020-09-08T14:59:26.331318Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "metacat = MetaCAT(tokenizer=tokenizer, embeddings=embeddings,\n",
+    "             pad_id=len(embeddings) -1, save_dir='mc_status', device='cpu')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:00:19.886627Z",
+     "start_time": "2020-09-08T15:00:19.835993Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "proj = json.load(open('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:17.094582Z",
+     "start_time": "2020-09-08T15:04:17.051585Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Negation', 'Skip'}"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Tasks we are training for...\n",
+    "set(chain.from_iterable([a['meta_anns'].keys() for d in proj['projects'][0]['documents'] for a in d['annotations']]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:46.434650Z",
+     "start_time": "2020-09-08T15:04:33.474305Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "==================================================\n",
+      "Model saved at epoch: 0 and f1: 1.0\n",
+      "[[5]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "Best/Average scores: F1: 1.0, P: 1.0, R: 1.0\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'f1': 1.0,\n",
+       " 'p': 1.0,\n",
+       " 'r': 1.0,\n",
+       " 'cls_report': {'0': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5},\n",
+       "  'accuracy': 1.0,\n",
+       "  'macro avg': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5},\n",
+       "  'weighted avg': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5}}}"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metacat.train('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json', 'Skip', nepochs=5)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.1"
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/medcat-trainer/notebook_docs/example_data/.ipynb_checkpoints/psych-checkpoint.csv b/medcat-trainer/notebook_docs/example_data/.ipynb_checkpoints/psych-checkpoint.csv
new file mode 100644
index 000000000..1946d1466
--- /dev/null
+++ b/medcat-trainer/notebook_docs/example_data/.ipynb_checkpoints/psych-checkpoint.csv
@@ -0,0 +1,95 @@
+name,text
+Psych Text 1,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.
+
+PRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.
+
+In regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.
+
+DEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.
+
+FAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.
+
+Mother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.
+
+ACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.
+
+SOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.
+
+PREVIOUS COUNSELING: Denied.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.
+
+PLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.
+
+DSM IV DIAGNOSES:
+AXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)
+AXIS II: No diagnoses (V71.09).
+AXIS III: No diagnoses.
+AXIS IV: Problems with primary support group.
+AXIS V: Global assessment of functioning equals 65."
+Psych Text 2,"
+The patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.
+
+IDENTIFYING DATA: Mr. T is a 45-year-old white male.
+
+CHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.
+
+HISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee."" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him ""bitch."" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to ""deal with it.""
+
+There are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.
+
+PAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.
+
+PAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.
+
+SUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.
+
+LEGAL HISTORY: Currently, charges are pending over the above described incident.
+
+MEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.
+
+PERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.
+
+Mr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.
+
+Mental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.
+
+He presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.
+
+There was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.
+
+IMPRESSIONS: Major Depressive Disorder, single episode
+
+RECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.
+"
+Psych Text 2,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at Children's Hospital due to a recent admission for pseudoseizures. This was a 90-minute initial intake completed on 10/19/2007 with the patient's mother. I have reviewed with her the boundaries of confidentiality and the treatment consent form, and she stated that she had understood these concepts.
+
+PRESENTING PROBLEM: It is reported that the patient was recently hospitalized and has been hospitalized in 2 occasions for pseudoseizure activity. These were confirmed by video EEG and consist of trembling, shaking, and things of that nature. She does have a history of focal seizures and perhaps simple seizures, which were diagnosed when she was 5 years old, but the seizure activity that was documented during the hospital stay is of a significant different quality. I had met with them in the hospital and introduced myself and gathered some basic background information, but this is a supplement to that information, which is contained within this chart. It was reported to me that she has been under considerable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, she operates at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is against her, that she cannot do anything unless someone is there, that she needs a lot of direction, that she gets confused easily, that she thinks that people become angry at her, that she misinterprets what people are saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her often. It was reported that in addition she recently has had change in her visitation with her father, that she within the last 6 months, has started seeing her father every other weekend after he had been discharged from prison. She reported that what is stress for her is that sometimes he does not always show up for visits or is late and that upsets her a lot and that she is upset when she has to leave him, also additional stressor is at school. She reports that she has no friends that she feels unwanted and picked on. She gets confused easily at school, worries about things, and believes that the teachers become angry with her. In regards to her mood, mother reported that she is usually happy, unless things do not go her way, and then, she becomes upset and says that nobody cares about her. She sits in the couch, she become angry, does not speak. Mother sends her to her room, and she calms down, takes a couple of deep breaths, and that passes. It is reported that the patient has ""always been this way"" and that is not a change in her behavior. Mother did think that she did seem a little more depressed, that she seems more lonely. Over the last few months, she has seemed a little bit more down because she does not have any friends and that she is bored. Mother reported that she frequently complains of being bored, but has always been this way. No sleep disturbance was noted. No changes in weight. No suicidal ideation. No deficits in energy were noted. Mother did report that she does tend to worry, but her worries tend to be because she gets confused, does not understand what she needs to do, and is quite rigid, but mother did not feel that the worry was actually affecting her functioning on a daily basis.
+
+DEVELOPMENTAL HISTORY: The patient was the 5 pound 12 ounce product of an unplanned pregnancy and normal spontaneous vaginal delivery. She was delivered at 36 weeks' gestation. Mother reported that she received prenatal care. Difficulties during the pregnancy were denied. The use of drugs, alcohol, tobacco during the pregnancy were denied. No eating or sleeping difficulties during the perinatal period were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother was not able to tell me the exact kind of seizures, but it would appear from I could gather that they are focal seizures and possibly simple-to-complex partial seizures. The patient does not have a history of allergy or toileting problems. She is currently taking Trileptal 450 mg b.i.d., and she is currently taking Depakote, although she is going to be weaned off the Depakote by her neurologist. She is taking Prevacid and ibuprofen. The neurologist that she sees is Dr. Y here at Children's Hospital.
+
+FAMILY BACKGROUND: In terms of family background, the patient lives with her mother age 38 and her mother's partner, who is age 40, and with her 16-year-old sister who does not have any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990, married in 1997, separated in 2002, and divorced in 2003; he lives in the ABC area and visits them every other Saturday, but there are no overnight visits. The paternal grandparents are both living here in California, but are separated. They are 3 paternal uncles and 2 paternal aunts. In terms of the maternal family, maternal grandmother and grandfather are deceased. Maternal grandfather deceased in 1991 due to cancer. Maternal grandmother deceased in 2001 due to cancer. There are 5 maternal aunts and 2 maternal uncles, all who live in California. She reported that the patient is particularly close to her maternal aunt, whose name is Carmen. Mother's partner had been married previously; he has 2 children from that relationship, a 23-year-old, and a 20-year-old female, who really are not part of the patient's daily life. In terms of other family background, it was reported that the mother's partner gets frustrated with The patient, does not completely understand the degree of her delay and how that may affect her ability to do things as well as her interpretation of things. The sister was described as having some resentment towards her older sister, that she feels like she was just to watch out for her, care for her, and that sister has always wanted to follow her around and do the things that she does. The biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with methamphetamine. In addition, she reported there is an accusation that he had molested their niece; however, she stated that there was a trial, and he was found to be not guilty of that. She stated there was no evidence that he had ever molested the patient or her sister. There had been quite a bit of chaos in the family when the mother and father were together. There was a lot of arguing. There were a lot of moves, there was domestic violence both from father to mother and mother to father consisting mostly of pushing and shoving by mother's report. The patient did observe this. After the separation, it was reported that there were continued difficulties that the father took the patient and her sister from school without mother's knowledge and had filed to get custody of them and actually ended up having custody of them for a month, and told the patient and her sister that the mother had abandoned them. Mother reported that they went to court, and there was a court order giving the mother custody back after the father went to jail. Mother stated that was approximately 5 years ago. In terms of current, mother reports that she currently works 2 jobs from 8 to 5 on Monday and Friday and from 6 to 10 on Monday, Wednesday's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on several weeknights.
+
+Mother reported that she graduated from high school, had a year of college. She was an average student, had learning difficulties in reading. No psychological or drug or alcohol history was reported by mother. In terms of the biological father, mother stated that he graduated from high school, had a couple of years of college, was a good student, no learning problems or psychological problems for him were reported. Mother reported that he had a history of methamphetamine use.
+
+Other psychiatric history in the family was denied.
+
+SOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonely and bored, really does not do much for fun. Her fun consists primarily of doing crafts with mother, sewing, painting, drawing, beadwork, and things like that. It was reported that she really feels that she is bored and does not have much to do.
+
+ACADEMIC BACKGROUND: The patient is in the 11th grade at High School. She has 2 regular education classes, mother could not tell me what they were, but the rest of her classes are special education. Mother could not tell me what her IQ was, although she noticed she works at about a 4th or 5th grade level. Mother reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, but she reported that overall she is a good student, but she does have sometimes some difficulties at school, becoming upset or angry regarding the little things that she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely, and that is she does not really care for school. She reported that the patient is involved in a work program through the school where she works at Pet Extreme on Mondays and Wednesdays from 3 to 8 p.m. where she stocks shelves. It is reported that she does not like to go to school because she feels like nobody likes her. She is not involved in any kind of clubs or groups at school. Mother reported that she is also not receiving CVRC services.
+
+PREVIOUS COUNSELING: Mother reported that she has been in counseling before, but mother could not give me any information about that, who did the counseling, or what it was about. She does receive evidently some peer counseling at school because she gets upset and needs help in calming down.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: It appears that the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the ""seizure episodes"" are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes in her life, also difficulty in functioning likely due to her developmental delay makes it difficult for her to understand.
+
+PLAN: My plan is to meet with the patient in approximately 1 to 2 weeks to complete a clinical interview with her, and then to begin teaching coping skills as well as explore ways for reducing her stress.
+
+DSM IV DIAGNOSES:
+AXIS I: Conversion disorder (300.11).
+AXIS II: Diagnoses deferred.
+AXIS III: Seizure disorder.
+AXIS IV: Problems with primary support group, peer problems, and educational problems.
+AXIS V: Global assessment of functioning equals 60.
+"
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@@ -0,0 +1 @@
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"tuis": "", "documents": [{"id": 262816, "name": "Psych Text 1", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.\n\nPRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\n\nIn regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.\n\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.\n\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\n\nMother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.\n\nACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.\n\nSOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.\n\nPREVIOUS COUNSELING: Denied.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.\n\nPLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.\n\nDSM IV DIAGNOSES:\nAXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)\nAXIS II: No diagnoses (V71.09).\nAXIS III: No diagnoses.\nAXIS IV: Problems with primary support group.\nAXIS V: Global assessment of functioning equals 65.", "last_modified": "2020-04-02 00:02:47.292599+00:00", "annotations": [{"id": 46102, "user": "admin", "cui": "C1656589", "value": "oppositional defiant disorder", "start": 9593, "end": 9622, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:23.830587+00:00", "manually_created": false, "acc": 0.392611944253081, "meta_anns": {}}, {"id": 46103, "user": "admin", "cui": "C0012734", "value": "disruptive behavior disorder", "start": 9525, "end": 9553, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:23.399296+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46104, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 8310, "end": 8330, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:18.046649+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46105, "user": "admin", "cui": "C0233514", "value": "behavior problems", "start": 8684, "end": 8701, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:18.233439+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46106, "user": "admin", "cui": "C0549393", "value": "alcohol problems", "start": 8155, "end": 8171, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:19.494374+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46107, "user": "admin", "cui": "C0004936", "value": "psychopathology", "start": 2460, "end": 2475, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.361744+00:00", "manually_created": false, "acc": 0.2633082783827883, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46108, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 9124, "end": 9136, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:16.208227+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46109, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 10337, "end": 10349, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.175459+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46110, "user": "admin", "cui": "C0021167", "value": "incontinence", "start": 10360, "end": 10372, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.358253+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46111, "user": "admin", "cui": "C0009806", "value": "constipated", "start": 3032, "end": 3043, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.053298+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46112, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2115, "end": 2125, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.548205+00:00", "manually_created": false, "acc": 0.6174709338508596, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46113, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2150, "end": 2160, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.020303+00:00", "manually_created": false, "acc": 0.6067908593757687, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46114, "user": "admin", "cui": "C0011570", "value": "depression", "start": 7632, "end": 7642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:15.403728+00:00", "manually_created": false, "acc": 0.6219621895695947, "meta_anns": {}}, {"id": 46115, "user": "admin", "cui": "C0011570", "value": "depression", "start": 8292, "end": 8302, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:17.872983+00:00", "manually_created": false, "acc": 0.4842299529493305, "meta_anns": {}}, {"id": 46116, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6754, "end": 6762, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.457566+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46117, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2103, "end": 2111, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.342221+00:00", "manually_created": false, "acc": 0.6074697887626457, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46118, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2138, "end": 2146, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.761681+00:00", "manually_created": false, "acc": 0.595059254889141, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46119, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2365, "end": 2373, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.243470+00:00", "manually_created": false, "acc": 0.5607964911895865, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46120, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2408, "end": 2416, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.904160+00:00", "manually_created": false, "acc": 0.3592671754492376, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46121, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2448, "end": 2456, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.129059+00:00", "manually_created": false, "acc": 0.4322164179671357, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46122, "user": "admin", "cui": "C0012634", "value": "Diseases", "start": 2807, "end": 2815, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.817485+00:00", "manually_created": false, "acc": 0.3012859808383412, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46123, "user": "admin", "cui": "C0004936", "value": "disorder", "start": 10271, "end": 10279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.014467+00:00", "manually_created": false, "acc": 0.6002333864678797, "meta_anns": {}}, {"id": 46124, "user": "admin", "cui": "C0948008", "value": "regards", "start": 610, "end": 617, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:08.116948+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 46125, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2092, "end": 2099, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:09.491813+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46126, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2481, "end": 2488, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.588310+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46127, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3095, "end": 3102, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.315202+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46128, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3486, "end": 3493, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.526799+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46129, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5245, "end": 5252, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.985222+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46130, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5646, "end": 5653, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.232563+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46131, "user": "admin", "cui": "C0085762", "value": "alcohol", "start": 7998, "end": 8005, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:20.646191+00:00", "manually_created": false, "acc": 0.6192205119360575, "meta_anns": {}}, {"id": 46132, "user": "admin", "cui": "C0018799", "value": "heart", "start": 7043, "end": 7048, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.684482+00:00", "manually_created": false, "acc": 0.27604518560971764, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46133, "user": "admin", "cui": "C0038436", "value": "PTSD", "start": 2386, "end": 2390, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.466244+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46134, "user": "admin", "cui": "C1263846", "value": "ADHD", "start": 2403, "end": 2407, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.689827+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46135, "user": "admin", "cui": "C0242510", "value": "use", "start": 4212, "end": 4215, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.764552+00:00", "manually_created": false, "acc": 0.5878649995498311, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46136, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:06.868728+00:00", "manually_created": false, "acc": 0.4340288092468738, "meta_anns": {"Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}]}, {"id": 262817, "name": "Psych Text 2", "text": "\nThe patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\n\nIDENTIFYING DATA: Mr. T is a 45-year-old white male.\n\nCHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\n\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee.\" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him \"bitch.\" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to \"deal with it.\"\n\nThere are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.\n\nPAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.\n\nPAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.\n\nSUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.\n\nLEGAL HISTORY: Currently, charges are pending over the above described incident.\n\nMEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.\n\nPERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.\n\nMr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.\n\nMental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.\n\nHe presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.\n\nThere was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.\n\nIMPRESSIONS: Major Depressive Disorder, single episode\n\nRECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.\n", "last_modified": "2020-04-02 00:02:47.303308+00:00", "annotations": [{"id": 46137, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 7726, "end": 7746, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:43.533424+00:00", "manually_created": false, "acc": 0.5523821827959599, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 46138, "user": "admin", "cui": "C0018799", "value": "heart disease", "start": 2872, "end": 2885, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:34.601959+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 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"alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:35.997750+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46144, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 896, "end": 904, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:31.753237+00:00", "manually_created": false, "acc": 0.428565382105349, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46145, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 7512, "end": 7520, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:37.521640+00:00", "manually_created": false, "acc": 0.684967993488848, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, 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"tuis": "", "documents": [{"id": 262816, "name": "Psych Text 1", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.\n\nPRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\n\nIn regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.\n\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.\n\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\n\nMother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.\n\nACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.\n\nSOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.\n\nPREVIOUS COUNSELING: Denied.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.\n\nPLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.\n\nDSM IV DIAGNOSES:\nAXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)\nAXIS II: No diagnoses (V71.09).\nAXIS III: No diagnoses.\nAXIS IV: Problems with primary support group.\nAXIS V: Global assessment of functioning equals 65.", "last_modified": "2020-04-02 00:02:47.292599+00:00", "annotations": [{"id": 39075, "user": "admin", "cui": "C0004936", "value": "psychopathology", "start": 2460, "end": 2475, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:26.610940+00:00", "manually_created": false, "acc": 0.2633082783827883, "meta_anns": {}}, {"id": 39080, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2115, "end": 2125, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:04.414876+00:00", "manually_created": false, "acc": 0.6174709338508596, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39081, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2150, "end": 2160, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:10.491378+00:00", "manually_created": false, "acc": 0.6067908593757687, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39085, "user": "admin", "cui": "C1457887", "value": "symptoms", 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"acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39090, "user": "admin", "cui": "C0012634", "value": "Diseases", "start": 2807, "end": 2815, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:33.726798+00:00", "manually_created": false, "acc": 0.3012859808383412, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39093, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2092, "end": 2099, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:02.698478+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39094, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2481, "end": 2488, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:29.441048+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39101, "user": "admin", "cui": "C0038436", "value": "PTSD", "start": 2386, "end": 2390, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:12.184565+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39102, "user": "admin", "cui": "C1263846", "value": "ADHD", "start": 2403, "end": 2407, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:12.788918+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39118, "user": "admin", "cui": "C0948008", "value": "regards", "start": 610, "end": 617, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 22:41:13.799892+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39125, "user": "admin", "cui": "C0242510", "value": "use", "start": 4212, "end": 4215, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.496269+00:00", "manually_created": false, "acc": 0.5878649995498311, "meta_anns": {}}, {"id": 39126, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:24:16.094413+00:00", "manually_created": false, "acc": 0.4340288092468738, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39211, "user": "admin", "cui": "N-00123", "value": "patient", "start": 502, "end": 509, "validated": true, "correct": false, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-03 00:26:34.440698+00:00", "manually_created": true, "acc": 1.0, "meta_anns": {"Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39398, "user": "admin", "cui": "C1656589", "value": "oppositional defiant disorder", "start": 9593, "end": 9622, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.740054+00:00", "manually_created": false, "acc": 0.392611944253081, "meta_anns": {}}, {"id": 39399, "user": "admin", "cui": "C0012734", "value": "disruptive behavior disorder", "start": 9525, "end": 9553, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.567837+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39400, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 8310, "end": 8330, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.005432+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39401, "user": "admin", "cui": "C0233514", "value": "behavior problems", "start": 8684, "end": 8701, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.187181+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39402, "user": "admin", "cui": "C0549393", "value": "alcohol problems", "start": 8155, "end": 8171, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.513466+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39403, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 9124, "end": 9136, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.377837+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39404, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 10337, "end": 10349, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:01.103826+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39405, "user": "admin", "cui": "C0021167", "value": "incontinence", "start": 10360, "end": 10372, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:01.309753+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39406, "user": "admin", "cui": "C0009806", "value": "constipated", "start": 3032, "end": 3043, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:57.946617+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39407, "user": "admin", "cui": "C0011570", "value": "depression", "start": 7632, "end": 7642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.213600+00:00", "manually_created": false, "acc": 0.6219621895695947, "meta_anns": {}}, {"id": 39408, "user": "admin", "cui": "C0011570", "value": "depression", "start": 8292, "end": 8302, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.826618+00:00", "manually_created": false, "acc": 0.4842299529493305, "meta_anns": {}}, {"id": 39409, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6754, "end": 6762, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.929987+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39410, "user": "admin", "cui": "C0004936", "value": "disorder", "start": 10271, "end": 10279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.912644+00:00", "manually_created": false, "acc": 0.6002333864678797, "meta_anns": {}}, {"id": 39411, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3095, "end": 3102, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.149827+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39412, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3486, "end": 3493, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.322424+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39413, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5245, "end": 5252, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.609545+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39414, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5646, "end": 5653, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.780845+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39415, "user": "admin", "cui": "C0085762", "value": "alcohol", "start": 7998, "end": 8005, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.373775+00:00", "manually_created": false, "acc": 0.6192205119360575, "meta_anns": {}}, {"id": 39416, "user": "admin", "cui": "C0018799", "value": "heart", "start": 7043, "end": 7048, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.055494+00:00", "manually_created": false, "acc": 0.27604518560971764, "meta_anns": {}}, {"id": 46101, "user": "admin", "cui": "C0036572", "value": "do", "start": 517, "end": 519, "validated": true, "correct": false, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-21 10:16:42.154350+00:00", "manually_created": true, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}]}, {"id": 262817, "name": "Psych Text 2", "text": "\nThe patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\n\nIDENTIFYING DATA: Mr. T is a 45-year-old white male.\n\nCHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\n\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee.\" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him \"bitch.\" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to \"deal with it.\"\n\nThere are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.\n\nPAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.\n\nPAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.\n\nSUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.\n\nLEGAL HISTORY: Currently, charges are pending over the above described incident.\n\nMEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.\n\nPERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.\n\nMr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.\n\nMental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.\n\nHe presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.\n\nThere was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.\n\nIMPRESSIONS: Major Depressive Disorder, single episode\n\nRECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.\n", "last_modified": "2020-04-02 00:02:47.303308+00:00", "annotations": [{"id": 40121, "user": "admin", "cui": "C1269683", "value": "Major Depressive Disorder", "start": 7536, "end": 7561, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.292562+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40122, "user": "admin", "cui": "C0017178", "value": "gastrointestinal disease", "start": 2932, "end": 2956, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.838693+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40123, "user": "admin", "cui": "C0024517", "value": "major depressive episode", "start": 8154, "end": 8178, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.656745+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40124, "user": "admin", "cui": "C0751265", "value": "learning disabilities", "start": 3704, "end": 3725, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.895442+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40125, "user": "admin", "cui": "C0020443", "value": "hypercholesterolemia", "start": 3102, "end": 3122, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.748249+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40126, "user": "admin", "cui": "C0031212", "value": "personality disorder", "start": 7500, "end": 7520, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.134444+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40127, "user": "admin", "cui": "C2359473", "value": "neurological disease", "start": 2958, "end": 2978, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.977086+00:00", "manually_created": false, "acc": 0.35337355807170256, "meta_anns": {}}, {"id": 40128, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 7726, "end": 7746, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.483498+00:00", "manually_created": false, "acc": 0.5378823791184829, "meta_anns": {}}, {"id": 40129, "user": "admin", "cui": "C0740858", "value": "SUBSTANCE ABUSE", "start": 2526, "end": 2541, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.879984+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40130, "user": "admin", "cui": "C0740858", "value": "substance abuse", "start": 2664, "end": 2679, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.023392+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40131, "user": "admin", "cui": "C0026848", "value": "muscles disease", "start": 3040, "end": 3055, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.434169+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40132, "user": "admin", "cui": "C0022658", "value": "kidney disease", "start": 2916, "end": 2930, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.689812+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40133, "user": "admin", "cui": "C0018524", "value": "hallucinations", "start": 5332, "end": 5346, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.234334+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40134, "user": "admin", "cui": "C0023895", "value": "liver disease", "start": 2901, "end": 2914, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.527514+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40135, "user": "admin", "cui": "C3489393", "value": "hiatal hernia", "start": 3084, "end": 3097, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.585901+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40136, "user": "admin", "cui": "C0018799", "value": "heart disease", "start": 2872, "end": 2885, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.181430+00:00", "manually_created": false, "acc": 0.49552588225246, "meta_anns": {}}, {"id": 40137, "user": "admin", "cui": "C0024115", "value": "lung disease", "start": 2887, "end": 2899, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.345946+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40138, "user": "admin", "cui": "C0086168", "value": "dissociation", "start": 6014, "end": 6026, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.432484+00:00", "manually_created": false, "acc": 0.297117240980866, "meta_anns": {}}, {"id": 40139, "user": "admin", "cui": "C0598853", "value": "for getting", "start": 6526, "end": 6537, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.268272+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40140, "user": "admin", "cui": "C2830004", "value": "somnolence", "start": 632, "end": 642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:21.851607+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40141, "user": "admin", "cui": "C2830004", "value": "somnolence", "start": 6195, "end": 6205, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.909362+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40142, "user": "admin", "cui": "C0011570", "value": "depressive", "start": 2326, "end": 2336, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.256188+00:00", "manually_created": false, "acc": 0.4898083983681168, "meta_anns": {}}, {"id": 40143, "user": "admin", "cui": "C0011570", "value": "depression", "start": 4936, "end": 4946, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.117181+00:00", "manually_created": false, "acc": 0.39956867578663036, "meta_anns": {}}, {"id": 40144, "user": "admin", "cui": "C0018681", "value": "headaches", "start": 470, "end": 479, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:14.549292+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40145, "user": "admin", "cui": "C0033975", "value": "psychotic", "start": 2350, "end": 2359, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.420114+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40146, "user": "admin", "cui": "C0178417", "value": "anhedonia", "start": 4957, "end": 4966, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.308026+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40147, "user": "admin", "cui": "C0020903", "value": "illusions", "start": 5373, "end": 5382, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.371372+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40148, "user": "admin", "cui": "C0011253", "value": "delusions", "start": 5644, "end": 5653, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.895727+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40149, "user": "admin", "cui": "C0018681", "value": "headaches", "start": 6285, "end": 6294, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.077275+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40150, "user": "admin", "cui": "C0871764", "value": "COMPLAINT", "start": 402, "end": 411, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:09.291736+00:00", "manually_created": false, "acc": 0.3825371768649487, "meta_anns": {}}, {"id": 40151, "user": "admin", "cui": "C0012634", "value": "disorders", "start": 2360, "end": 2369, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.703110+00:00", "manually_created": false, "acc": 0.5192049896918833, "meta_anns": {}}, {"id": 40152, "user": "admin", "cui": "C0525045", "value": "affective", "start": 5076, "end": 5085, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.656209+00:00", "manually_created": false, "acc": 0.36617414967225814, "meta_anns": {}}, {"id": 40153, "user": "admin", "cui": "C0525045", "value": "affective", "start": 5172, "end": 5181, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.027477+00:00", "manually_created": false, "acc": 0.2806342119688313, "meta_anns": {}}, {"id": 40154, "user": "admin", "cui": "C0012634", "value": "affection", "start": 6713, "end": 6722, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.574730+00:00", "manually_created": false, "acc": 0.2725824817730614, "meta_anns": {}}, {"id": 40155, "user": "admin", "cui": "C0042693", "value": "violence", "start": 6916, "end": 6924, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.930184+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40156, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 896, "end": 904, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.191922+00:00", "manually_created": false, "acc": 0.40627345165821505, "meta_anns": {}}, {"id": 40157, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6133, "end": 6141, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.755971+00:00", "manually_created": false, "acc": 0.2811832251489571, "meta_anns": {}}, {"id": 40158, "user": "admin", "cui": "C0221423", "value": "ILLNESS", "start": 964, "end": 971, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.506164+00:00", "manually_created": false, "acc": 0.6035347839291748, "meta_anns": {}}, {"id": 40159, "user": "admin", "cui": "C0032080", "value": "disease", "start": 3010, "end": 3017, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.279814+00:00", "manually_created": false, "acc": 0.5799793864752787, "meta_anns": {}}, {"id": 40160, "user": "admin", "cui": "C0040822", "value": "tremor", "start": 453, "end": 459, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:16.619926+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40161, "user": "admin", "cui": "C0040822", "value": "tremor", "start": 4721, "end": 4727, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.598053+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40162, "user": "admin", "cui": "C0233494", "value": "tense", "start": 4631, "end": 4636, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.248011+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40163, "user": "admin", "cui": "C0233684", "value": "guilt", "start": 5692, "end": 5697, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.240783+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40164, "user": "admin", "cui": "C2129214", "value": "loose", "start": 5577, "end": 5582, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.739187+00:00", "manually_created": false, "acc": 0.23746743244657817, "meta_anns": {}}, {"id": 40165, "user": "admin", "cui": "C0525045", "value": "mood", "start": 4902, "end": 4906, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.939723+00:00", "manually_created": false, "acc": 0.4134158251199113, "meta_anns": {}}, {"id": 40166, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 2017, "end": 2019, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.806844+00:00", "manually_created": false, "acc": 0.26427841261871543, "meta_anns": {}}, {"id": 40167, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 2127, "end": 2129, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.090949+00:00", "manually_created": false, "acc": 0.3070794653825749, "meta_anns": {}}]}, {"id": 262818, "name": "Psych Text 2", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at Children's Hospital due to a recent admission for pseudoseizures. This was a 90-minute initial intake completed on 10/19/2007 with the patient's mother. I have reviewed with her the boundaries of confidentiality and the treatment consent form, and she stated that she had understood these concepts.\n\nPRESENTING PROBLEM: It is reported that the patient was recently hospitalized and has been hospitalized in 2 occasions for pseudoseizure activity. These were confirmed by video EEG and consist of trembling, shaking, and things of that nature. She does have a history of focal seizures and perhaps simple seizures, which were diagnosed when she was 5 years old, but the seizure activity that was documented during the hospital stay is of a significant different quality. I had met with them in the hospital and introduced myself and gathered some basic background information, but this is a supplement to that information, which is contained within this chart. It was reported to me that she has been under considerable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, she operates at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is against her, that she cannot do anything unless someone is there, that she needs a lot of direction, that she gets confused easily, that she thinks that people become angry at her, that she misinterprets what people are saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her often. It was reported that in addition she recently has had change in her visitation with her father, that she within the last 6 months, has started seeing her father every other weekend after he had been discharged from prison. She reported that what is stress for her is that sometimes he does not always show up for visits or is late and that upsets her a lot and that she is upset when she has to leave him, also additional stressor is at school. She reports that she has no friends that she feels unwanted and picked on. She gets confused easily at school, worries about things, and believes that the teachers become angry with her. In regards to her mood, mother reported that she is usually happy, unless things do not go her way, and then, she becomes upset and says that nobody cares about her. She sits in the couch, she become angry, does not speak. Mother sends her to her room, and she calms down, takes a couple of deep breaths, and that passes. It is reported that the patient has \"always been this way\" and that is not a change in her behavior. Mother did think that she did seem a little more depressed, that she seems more lonely. Over the last few months, she has seemed a little bit more down because she does not have any friends and that she is bored. Mother reported that she frequently complains of being bored, but has always been this way. No sleep disturbance was noted. No changes in weight. No suicidal ideation. No deficits in energy were noted. Mother did report that she does tend to worry, but her worries tend to be because she gets confused, does not understand what she needs to do, and is quite rigid, but mother did not feel that the worry was actually affecting her functioning on a daily basis.\n\nDEVELOPMENTAL HISTORY: The patient was the 5 pound 12 ounce product of an unplanned pregnancy and normal spontaneous vaginal delivery. She was delivered at 36 weeks' gestation. Mother reported that she received prenatal care. Difficulties during the pregnancy were denied. The use of drugs, alcohol, tobacco during the pregnancy were denied. No eating or sleeping difficulties during the perinatal period were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother was not able to tell me the exact kind of seizures, but it would appear from I could gather that they are focal seizures and possibly simple-to-complex partial seizures. The patient does not have a history of allergy or toileting problems. She is currently taking Trileptal 450 mg b.i.d., and she is currently taking Depakote, although she is going to be weaned off the Depakote by her neurologist. She is taking Prevacid and ibuprofen. The neurologist that she sees is Dr. Y here at Children's Hospital.\n\nFAMILY BACKGROUND: In terms of family background, the patient lives with her mother age 38 and her mother's partner, who is age 40, and with her 16-year-old sister who does not have any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990, married in 1997, separated in 2002, and divorced in 2003; he lives in the ABC area and visits them every other Saturday, but there are no overnight visits. The paternal grandparents are both living here in California, but are separated. They are 3 paternal uncles and 2 paternal aunts. In terms of the maternal family, maternal grandmother and grandfather are deceased. Maternal grandfather deceased in 1991 due to cancer. Maternal grandmother deceased in 2001 due to cancer. There are 5 maternal aunts and 2 maternal uncles, all who live in California. She reported that the patient is particularly close to her maternal aunt, whose name is Carmen. Mother's partner had been married previously; he has 2 children from that relationship, a 23-year-old, and a 20-year-old female, who really are not part of the patient's daily life. In terms of other family background, it was reported that the mother's partner gets frustrated with The patient, does not completely understand the degree of her delay and how that may affect her ability to do things as well as her interpretation of things. The sister was described as having some resentment towards her older sister, that she feels like she was just to watch out for her, care for her, and that sister has always wanted to follow her around and do the things that she does. The biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with methamphetamine. In addition, she reported there is an accusation that he had molested their niece; however, she stated that there was a trial, and he was found to be not guilty of that. She stated there was no evidence that he had ever molested the patient or her sister. There had been quite a bit of chaos in the family when the mother and father were together. There was a lot of arguing. There were a lot of moves, there was domestic violence both from father to mother and mother to father consisting mostly of pushing and shoving by mother's report. The patient did observe this. After the separation, it was reported that there were continued difficulties that the father took the patient and her sister from school without mother's knowledge and had filed to get custody of them and actually ended up having custody of them for a month, and told the patient and her sister that the mother had abandoned them. Mother reported that they went to court, and there was a court order giving the mother custody back after the father went to jail. Mother stated that was approximately 5 years ago. In terms of current, mother reports that she currently works 2 jobs from 8 to 5 on Monday and Friday and from 6 to 10 on Monday, Wednesday's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on several weeknights.\n\nMother reported that she graduated from high school, had a year of college. She was an average student, had learning difficulties in reading. No psychological or drug or alcohol history was reported by mother. In terms of the biological father, mother stated that he graduated from high school, had a couple of years of college, was a good student, no learning problems or psychological problems for him were reported. Mother reported that he had a history of methamphetamine use.\n\nOther psychiatric history in the family was denied.\n\nSOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonely and bored, really does not do much for fun. Her fun consists primarily of doing crafts with mother, sewing, painting, drawing, beadwork, and things like that. It was reported that she really feels that she is bored and does not have much to do.\n\nACADEMIC BACKGROUND: The patient is in the 11th grade at High School. She has 2 regular education classes, mother could not tell me what they were, but the rest of her classes are special education. Mother could not tell me what her IQ was, although she noticed she works at about a 4th or 5th grade level. Mother reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, but she reported that overall she is a good student, but she does have sometimes some difficulties at school, becoming upset or angry regarding the little things that she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely, and that is she does not really care for school. She reported that the patient is involved in a work program through the school where she works at Pet Extreme on Mondays and Wednesdays from 3 to 8 p.m. where she stocks shelves. It is reported that she does not like to go to school because she feels like nobody likes her. She is not involved in any kind of clubs or groups at school. Mother reported that she is also not receiving CVRC services.\n\nPREVIOUS COUNSELING: Mother reported that she has been in counseling before, but mother could not give me any information about that, who did the counseling, or what it was about. She does receive evidently some peer counseling at school because she gets upset and needs help in calming down.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: It appears that the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the \"seizure episodes\" are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes in her life, also difficulty in functioning likely due to her developmental delay makes it difficult for her to understand.\n\nPLAN: My plan is to meet with the patient in approximately 1 to 2 weeks to complete a clinical interview with her, and then to begin teaching coping skills as well as explore ways for reducing her stress.\n\nDSM IV DIAGNOSES:\nAXIS I: Conversion disorder (300.11).\nAXIS II: Diagnoses deferred.\nAXIS III: Seizure disorder.\nAXIS IV: Problems with primary support group, peer problems, and educational problems.\nAXIS V: Global assessment of functioning equals 60.\n", "last_modified": "2020-04-02 00:02:47.312885+00:00", "annotations": [{"id": 40168, "user": "admin", "cui": "C0424605", "value": "developmental delays", "start": 4754, "end": 4774, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.584268+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40169, "user": "admin", "cui": "C0424605", "value": "developmental delay", "start": 8969, "end": 8988, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.453878+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40170, "user": "admin", "cui": "C0424605", "value": "developmental delay", "start": 10431, "end": 10450, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.163451+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40171, "user": "admin", "cui": "C0037317", "value": "sleep disturbance", "start": 3073, "end": 3090, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.033259+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40172, "user": "admin", "cui": "C0221423", "value": "Serious illnesses", "start": 3986, "end": 4003, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.571018+00:00", "manually_created": false, "acc": 0.5323275368561449, "meta_anns": {}}, {"id": 40173, "user": "admin", "cui": "C0036572", "value": "seizure activity", "start": 761, "end": 777, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.671059+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40174, "user": "admin", "cui": "C0751495", "value": "focal seizures", "start": 662, "end": 676, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.352559+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40175, "user": "admin", "cui": "C0751495", "value": "focal seizures", "start": 4168, "end": 4182, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.087138+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40176, "user": "admin", "cui": "C1321587", "value": "deep breaths", "start": 2633, "end": 2645, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.677435+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40177, "user": "admin", "cui": "C0011570", "value": "depressed", "start": 2814, "end": 2823, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.867206+00:00", "manually_created": false, "acc": 0.4463628826738748, "meta_anns": {}}, {"id": 40178, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 696, "end": 704, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.506904+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40179, "user": "admin", "cui": "C0009676", "value": "confused", "start": 1472, "end": 1480, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.003873+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40180, "user": "admin", "cui": "C0009676", "value": "confused", "start": 2239, "end": 2247, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.333429+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40181, "user": "admin", "cui": "C0009676", "value": "confused", "start": 3271, "end": 3279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.380571+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40182, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4045, "end": 4053, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.721906+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40183, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4104, "end": 4112, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.905824+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40184, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4222, "end": 4230, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.244750+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40185, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 10256, "end": 10264, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.983340+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40186, "user": "admin", "cui": "C0042693", "value": "violence", "start": 6761, "end": 6769, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.113225+00:00", "manually_created": false, "acc": 0.5207568729387311, "meta_anns": {}}, {"id": 40187, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 10165, "end": 10173, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.621318+00:00", "manually_created": false, "acc": 0.4607705290520051, "meta_anns": {}}, {"id": 40188, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 10803, "end": 10811, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.682912+00:00", "manually_created": false, "acc": 0.27637478713015495, "meta_anns": {}}, {"id": 40189, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2345, "end": 2352, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.495178+00:00", "manually_created": false, "acc": 0.159337211157037, "meta_anns": {}}, {"id": 40190, "user": "admin", "cui": "C0036572", "value": "seizure", "start": 10225, "end": 10232, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.822372+00:00", "manually_created": false, "acc": 0.6469174173186296, "meta_anns": {}}, {"id": 40191, "user": "admin", "cui": "C0014544", "value": "Seizure", "start": 10795, "end": 10802, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.516113+00:00", "manually_created": false, "acc": 0.2791360767228189, "meta_anns": {}}, {"id": 40192, "user": "admin", "cui": "C0038443", "value": "stress", "start": 10691, "end": 10697, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.333634+00:00", "manually_created": false, "acc": 0.4382306562370382, "meta_anns": {}}, {"id": 40193, "user": "admin", "cui": "C0598853", "value": "gets", "start": 1467, "end": 1471, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.854249+00:00", "manually_created": false, "acc": 0.2795094592446681, "meta_anns": {}}, {"id": 40194, "user": "admin", "cui": "C0598853", "value": "gets", "start": 2234, "end": 2238, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.171073+00:00", "manually_created": false, "acc": 0.29605035852055084, "meta_anns": {}}, {"id": 40195, "user": "admin", "cui": "C0598853", "value": "gets", "start": 3266, "end": 3270, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.188890+00:00", "manually_created": false, "acc": 0.4586198144089846, "meta_anns": {}}, {"id": 40196, "user": "admin", "cui": "C0598853", "value": "gets", "start": 5787, "end": 5791, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.957745+00:00", "manually_created": false, "acc": 0.25609561014110926, "meta_anns": {}}, {"id": 40197, "user": "admin", "cui": "C0152244", "value": "ABC", "start": 4950, "end": 4953, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.780187+00:00", "manually_created": false, "acc": 0.21349838406864965, "meta_anns": {}}, {"id": 40198, "user": "admin", "cui": "C0242510", "value": "use", "start": 8176, "end": 8179, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.298889+00:00", "manually_created": false, "acc": 0.4148741715818776, "meta_anns": {}}, {"id": 40199, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.179347+00:00", "manually_created": false, "acc": 0.5418885641080896, "meta_anns": {}}, {"id": 40200, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 4532, "end": 4534, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.411609+00:00", "manually_created": false, "acc": 0.4307385537380527, "meta_anns": {}}]}]}]}
\ No newline at end of file
diff --git a/medcat-trainer/notebook_docs/example_data/README.md b/medcat-trainer/notebook_docs/example_data/README.md
new file mode 100644
index 000000000..7280f2d1e
--- /dev/null
+++ b/medcat-trainer/notebook_docs/example_data/README.md
@@ -0,0 +1,4 @@
+# Example Data
+The data in the following files is from http://mtsamples.com/
+
+We have collated 20 records from the Neurology and Orthopedic notes for demonstration purposes only.
\ No newline at end of file
diff --git a/medcat-trainer/notebook_docs/example_data/cardio.csv b/medcat-trainer/notebook_docs/example_data/cardio.csv
new file mode 100644
index 000000000..2791e8c49
--- /dev/null
+++ b/medcat-trainer/notebook_docs/example_data/cardio.csv
@@ -0,0 +1,21 @@
+,name,chartdate,category,text
+0,0-38541,01/01/2075,Cardiovascular / Pulmonary,"Dear Sample Doctor:,Thank you for referring Mr. <patient-1> for cardiac evaluation.  <date-1><patient-1> is a 67-year-old, obese male who has a history of therapy-controlled hypertension, borderline diabetes, and obesity.  He has a family history of coronary heart disease but denies any symptoms of angina pectoris or effort intolerance.  Specifically, no chest discomfort of any kind, no dyspnea on exertion unless extreme exertion is performed, no orthopnea or PND.  He is known to have a mother with coronary heart disease.  He has never been a smoker.  He has never had a syncopal episode, MI, or CVA.  He had his gallbladder removed.  No bleeding tendencies.  No history of DVT or pulmonary embolism.  The patient is retired, rarely consumes alcohol and consumes coffee moderately.  He apparently has a sleep disorder, according to his wife (not in the office), the patient snores and stops breathing during sleep.  He is allergic to codeine and aspirin (angioedema).,Physical exam revealed a middle-aged man weighing 283 pounds for a height of 5 feet 11 inches.  His heart rate was 98 beats per minute and regular.  His blood pressure was 140/80 mmHg in the right arm in a sitting position and 150/80 mmHg in a standing position.  He is in no distress.  Venous pressure is normal.  Carotid pulsations are normal without bruits.  The lungs are clear.  Cardiac exam was normal.  The abdomen was obese and organomegaly was not palpated.  There were no pulsatile masses or bruits.  The femoral pulses were 3+ in character with a symmetrical distribution and dorsalis pedis and posterior tibiales were 3+ in character.  There was no peripheral edema.  ,He had a chemistry profile, which suggests diabetes mellitus with a fasting blood sugar of 136 mg/dl.  Renal function was normal.  His lipid profile showed a slight increase in triglycerides with normal total cholesterol and HDL and an acceptable range of LDL.  His sodium was a little bit increased.  His A1c hemoglobin was increased.  He had a spirometry, which was reported as normal.  ,He had a resting electrocardiogram on December 20, 2002, which was also normal.  He had a treadmill Cardiolite, which was performed only to stage 2 and was terminated by the supervising physician when the patient achieved 90% of the predicted maximum heart rate.  There were no symptoms or ischemia by EKG.  There was some suggestion of inferior wall ischemia with normal wall motion by Cardiolite imaging.,In summary, we have a 67-year-old gentleman with risk factors for coronary heart disease.  I am concerned with possible diabetes and a likely metabolic syndrome of this gentleman with truncal obesity, hypertension, possible insulin resistance, and some degree of fasting hyperglycemia, as well as slight triglyceride elevation.  He denies any symptoms of coronary heart disease, but he probably has some degree of coronary atherosclerosis, possibly affecting the inferior wall by functional testings.  ,In view of the absence of symptoms, medical therapy is indicated at the present time, with very aggressive risk factor modification.  I explained and discussed extensively with the patient, the benefits of regular exercise and a walking program was given to the patient.  He also should start aggressively losing weight.  I have requested additional testing today, which will include an apolipoprotein B, LPa lipoprotein, as well as homocystine, and cardio CRP to further assess his risk of atherosclerosis.  ,In terms of medication, I have changed his verapamil for a long acting beta-blocker, he should continue on an ACE inhibitor and his Plavix.  The patient is allergic to aspirin.  I also will probably start him on a statin, if any of the studies that I have recommended come back abnormal and furthermore, if he is confirmed to have diabetes.  Along this line, perhaps, we should consider obtaining the advice of an endocrinologist to decide whether this gentleman needs treatment for diabetes, which I believe he should.  This, however, I will leave entirely up to you to decide.  If indeed, he is considered to be a diabetic, a much more aggressive program should be entertained for reducing the risks of atherosclerosis in general, and coronary artery disease in particular.,I do not find an indication at this point in time to proceed with any further testing, such as coronary angiography, in the absence of symptoms.,If you have any further questions, please do not hesitate to let me know.,Thank you once again for this kind referral.,Sincerely,,Sample <Doctor-1>, M.D."
+1,1-2220,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+2,2-70301,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+3,3-32213,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+4,4-39715,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+5,5-9560,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+6,6-37028,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+7,7-20061,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+8,8-21954,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+9,9-33737,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+10,10-30713,01/01/2069,Cardiovascular / Pulmonary,"CHIEF COMPLAINT:,  Rule out obstructive sleep apnea syndrome.,Sample Patient is a pleasant, 61-year-old, obese, African-American male with a past medical history significant for hypertension, who presents to the Outpatient Clinic with complaints of loud snoring and witnessed apnea episodes by his wife for at least the past five years.  He denies any gasping, choking, or coughing episodes while asleep at night.  His bedtime is between 10 to 11 p.m., has no difficulty falling asleep, and is usually out of bed around 7 a.m. feeling refreshed.  He has two to three episodes of nocturia per night.  He denies any morning symptoms.  He has mild excess daytime sleepiness manifested by dozing off during boring activities.,PAST MEDICAL HISTORY:,  Hypertension, gastritis, and low back pain.,PAST SURGICAL HISTORY:,  TURP.,MEDICATIONS:,  Hytrin, Motrin, Lotensin, and Zantac.,ALLERGIES:,  None.,FAMILY HISTORY:,  Hypertension.,SOCIAL HISTORY:,  Significant for about a 20-pack-year tobacco use, quit in 1991.  No ethanol use or illicit drug use.  He is married.  He has one dog at home.  He used to be employed at Budd Automotors as a die setter for about 37 to 40 years.,REVIEW OF SYSTEMS:,  His weight has been steady over the years.  Neck collar size is 17½"".  He denies any chest pain, cough, or shortness of breath.  Last chest x-ray within the past year, per his report, was normal.,PHYSICAL EXAM:,  A pleasant, obese, African-American male in no apparent respiratory distress.  T:  98.  P:  90.  RR:  20.  BP:  156/90.  O2 saturation:  97% on room air.  Ht:  5' 5"".  Wt:  198 lb.  HEENT:  A short thick neck, low-hanging palate, enlarged scalloped tongue, narrow foreshortened pharynx, clear nares, and no JVD.  CARDIAC:  Regular rate and rhythm without any adventitious sounds.  CHEST:  Clear lungs bilaterally. ABDOMEN:  An obese abdomen with active bowel sounds.  EXTREMITIES:  No cyanosis, clubbing, or edema.  NEUROLOGIC:  Non-focal.,IMPRESSION:,1.  Probable obstructive sleep apnea syndrome.,2.  Hypertension.,3.  Obesity.,4.  History of tobacco use.,PLAN:,1.  We will schedule an overnight sleep study to evaluate obstructive sleep apnea syndrome.,2.  Encouraged weight loss.,3.  Check TSH.,4.  Asked not to drive and engage in any activity that could endanger himself or others while sleepy.,5.  Asked to return to the clinic one week after sleep the study is done."
+11,11-66650,01/01/2069,Cardiovascular / Pulmonary,"INDICATIONS FOR PROCEDURE:, This is a 61-year-old, white male with onset of chest pain at 04: 30 this morning, with history of on and off chest discomfort over the past several days. CPK is already over 1000. There is ST elevation in leads II and aVF, as well as a Q wave. The chest pain is now gone, mild residual shortness of breath, no orthopnea. Cardiac monitor shows resolution of ST elevation lead III.,DESCRIPTION OF PROCEDURE:, Following sterile prep and drape of the right groin, installation of 1% Xylocaine anesthesia, the right common femoral artery was percutaneously entered and 6-French sheath inserted. ACT approximately 165 seconds on heparin. Borderline hypotension 250 mL fluid bolus given and nitroglycerin patch removed. Selective left and right coronary injections performed using Judkins coronary catheters with a 6-French pigtail catheter used to obtain left ventricular pressures and left ventriculography. Left pullback pressure. Sheath injection. Hemostasis obtained with a 6-French Angio-Seal device. He tolerated the procedure well and was transported to the Cardiac Step-Down Unit in stable condition.,HEMODYNAMIC DATA:, Left ventricular end diastolic pressure elevated post A-wave at 25 mm of Mercury with no aortic valve systolic gradient on pullback.,ANGIOGRAPHIC FINDINGS:,I. Left coronary artery: The left main coronary artery is unremarkable. The left anterior descending has 30 to 40% narrowing with tortuosity in its proximal portion, patent first septal perforator branch. The first diagonal branch is a 2 mm vessel with a 90% ostial stenosis. The second diagonal branch is unremarkable, as are the tiny distal diagonal branches. The intermediate branch is a small, normal vessel. The ostial non-dominant circumflex has some contrast thinning, but no stenosis, normal obtuse marginal branch, and small AV sulcus circumflex branch.,II. Right coronary artery: The right coronary artery is a large, dominant vessel which gives off large posterior descending and posterolateral left ventricular branches. There are luminal irregularities, less than 25%, within the proximal to mid vessel. Some contrast thinning is present in the distal RCA just before the bifurcation into posterior descending and posterolateral branches. A 25%, smooth narrowing at the origin of the posterior descending branch. Posterolateral branch is unremarkable and quite large, with secondary and tertiary branches.,III. Left ventriculogram: The left ventricle is normal in size. Ejection fraction estimated at 40 to 45%. No mitral regurgitation. Severe hypokinesis to akinesis is present in the posterobasal and posteromedial segments with normal anteroapical wall motion.,DISCUSSION:, Recent inferior myocardial infarction with only minor contrast thinning distal RCA remaining on coronary angiography with resolution of chest pain and ST segment elevation. Left coronary system has one hemodynamically significant stenosis (a 90% ostial stenosis at the first diagonal branch, which is a 2 mm vessel). Left ventricular function is reduced with ejection fraction 40 to 45% with inferior wall motion abnormality.,PLAN:, Medical treatment, including Plavix and nitrates, in addition to beta blocker, aspirin, and aggressive lipid reduction."
+12,12-24031,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+13,13-59100,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+14,14-47085,01/01/2049,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS: , The patient is a 41-year-old African-American male previously well known to me.  He has a previous history of aortic valve disease, status post aortic valve replacement on 10/15/2007, for which he has been on chronic anticoagulation.  There is a previous history of paroxysmal atrial fibrillation and congestive heart failure, both of which have been stable prior to this admission.  He has a previous history of transient ischemic attack with no residual neurologic deficits.,The patient has undergone surgery by Dr. X for attempted nephrolithotomy.  The patient has experienced significant postoperative bleeding, for which it has been necessary to discontinue all anticoagulation.  The patient is presently seen at the request of Dr. X for management of anticoagulation and his above heart disease.,PAST MEDICAL AND SURGICAL HISTORY:,1.  Type I diabetes mellitus.,2.  Hyperlipidemia.,3.  Hypertension.,4.  Morbid obesity.,5.  Sleep apnea syndrome.,6.  Status post thyroidectomy for thyroid carcinoma.,REVIEW OF SYSTEMS:,General:  Unremarkable.,Cardiopulmonary:  No chest pain, shortness of breath, palpitations, or dizziness.,Gastrointestinal:  Unremarkable.,Genitourinary:  See above.,Musculoskeletal:  Unremarkable.,Neurologic:  Unremarkable.,FAMILY HISTORY: , There are no family members with coronary artery disease.  His mother has congestive heart failure.,SOCIAL HISTORY:  ,The patient is married.  He lives with his wife.  He is employed as a barber.  He does not use alcohol, tobacco, or illicit drugs.,MEDICATIONS PRIOR TO ADMISSION:,1.  Clonidine 0.3 mg b.i.d.,2.  Atenolol 50 mg daily.,3.  Simvastatin 80 mg daily.,4.  Furosemide 40 mg daily.,5.  Metformin 1000 mg b.i.d.,6.  Hydralazine 25 mg t.i.d.,7.  Diovan 320 mg daily.,8.  Lisinopril 40 mg daily.,9.  Amlodipine 10 mg daily.,10.  Lantus insulin 50 units q.p.m.,11.  KCl 20 mEq daily.,12.  NovoLog sliding scale insulin coverage.,13.  Warfarin 7.5 mg daily.,14.  Levothyroxine 0.2 mg daily.,15.  Folic acid 1 mg daily.,ALLERGIES: , None.,PHYSICAL EXAMINATION:,General:  A well-appearing, obese black male.,Vital Signs:  BP 140/80, HR 88, respirations 16, and afebrile.,HEENT:  Grossly normal.,Neck:  Normal.  Thyroid, normal.  Carotid, normal upstroke, no bruits.,Chest:  Midline sternotomy scar.,Lungs:  Clear.,Heart:  PMI fifth intercostal space mid clavicular line.  Normal S1 and prosthetic S2.  No murmur, rub, gallop, or click.,Abdomen:  Soft and nontender.  No palpable mass or hepatosplenomegaly."
+15,15-16812,01/01/2049,Cardiovascular / Pulmonary,"MEDICATIONS: , Plavix, atenolol, Lipitor, and folic acid.,CLINICAL HISTORY:  ,This is a 41-year-old male patient who comes in with chest pain, had had a previous MI in 07/2003 and stents placement in 2003, who comes in for a stress myocardial perfusion scan.,With the patient at rest, 10.3 mCi of Cardiolite technetium-99 m sestamibi was injected and myocardial perfusion imaging was obtained.,PROCEDURE AND INTERPRETATION:  ,The patient exercised for a total of 12 minutes on the standard Bruce protocol.  The peak workload was 12.8 METS.  The resting heart rate was 57 beats per minute and the peak heart rate was 123 beats per minute, which was 69% of the age-predicted maximum heart rate response.  The blood pressure response was normal with a resting blood pressure of 130/100 and a peak blood pressure of 158/90.  The test was stopped due to fatigue and leg pain.  EKG at rest showed normal sinus rhythm.  The peak stress EKG did not reveal any ischemic ST-T wave abnormalities.  There was ventricular bigeminy seen during exercise, but no sustained tachycardia was seen.  At peak, there was no chest pain noted.  The test was stopped due to fatigue and left pain.  At peak stress, the patient was injected with 30.3 mCi of Cardiolite technetium-99 m sestamibi and myocardial perfusion imaging was obtained, and was compared to resting myocardial perfusion imaging.,MYOCARDIAL PERFUSION IMAGING:,1.  The overall quality of the scan was good.,2.  There was no diagnostic abnormality on the rest and stress myocardial perfusion imaging.,3.  The left ventricular cavity appeared normal in size.,4.  Gated SPECT images revealed mild septal hypokinesis and mild apical hypokinesis.  Overall left ventricular systolic function was low normal with calculated ejection fraction of 46% at rest.,CONCLUSIONS:,1.  Good exercise tolerance.,2.  Less than adequate cardiac stress.  The patient was on beta-blocker therapy.,3.  No EKG evidence of stress induced ischemia.,4.  No chest pain with stress.,5.  Mild ventricular bigeminy with exercise.,6.  No diagnostic abnormality on the rest and stress myocardial perfusion imaging.,7.  Gated SPECT images revealed septal and apical hypokinesis with overall low normal left ventricular systolic function with calculated ejection fraction of 46% at rest."
+16,16-30755,01/01/2049,Cardiovascular / Pulmonary,"MEDICATIONS: , Plavix, atenolol, Lipitor, and folic acid.,CLINICAL HISTORY:  ,This is a 41-year-old male patient who comes in with chest pain, had had a previous MI in 07/2003 and stents placement in 2003, who comes in for a stress myocardial perfusion scan.,With the patient at rest, 10.3 mCi of Cardiolite technetium-99 m sestamibi was injected and myocardial perfusion imaging was obtained.,PROCEDURE AND INTERPRETATION:  ,The patient exercised for a total of 12 minutes on the standard Bruce protocol.  The peak workload was 12.8 METS.  The resting heart rate was 57 beats per minute and the peak heart rate was 123 beats per minute, which was 69% of the age-predicted maximum heart rate response.  The blood pressure response was normal with a resting blood pressure of 130/100 and a peak blood pressure of 158/90.  The test was stopped due to fatigue and leg pain.  EKG at rest showed normal sinus rhythm.  The peak stress EKG did not reveal any ischemic ST-T wave abnormalities.  There was ventricular bigeminy seen during exercise, but no sustained tachycardia was seen.  At peak, there was no chest pain noted.  The test was stopped due to fatigue and left pain.  At peak stress, the patient was injected with 30.3 mCi of Cardiolite technetium-99 m sestamibi and myocardial perfusion imaging was obtained, and was compared to resting myocardial perfusion imaging.,MYOCARDIAL PERFUSION IMAGING:,1.  The overall quality of the scan was good.,2.  There was no diagnostic abnormality on the rest and stress myocardial perfusion imaging.,3.  The left ventricular cavity appeared normal in size.,4.  Gated SPECT images revealed mild septal hypokinesis and mild apical hypokinesis.  Overall left ventricular systolic function was low normal with calculated ejection fraction of 46% at rest.,CONCLUSIONS:,1.  Good exercise tolerance.,2.  Less than adequate cardiac stress.  The patient was on beta-blocker therapy.,3.  No EKG evidence of stress induced ischemia.,4.  No chest pain with stress.,5.  Mild ventricular bigeminy with exercise.,6.  No diagnostic abnormality on the rest and stress myocardial perfusion imaging.,7.  Gated SPECT images revealed septal and apical hypokinesis with overall low normal left ventricular systolic function with calculated ejection fraction of 46% at rest."
+17,17-20736,01/01/2049,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS: , The patient is a 41-year-old African-American male previously well known to me.  He has a previous history of aortic valve disease, status post aortic valve replacement on 10/15/2007, for which he has been on chronic anticoagulation.  There is a previous history of paroxysmal atrial fibrillation and congestive heart failure, both of which have been stable prior to this admission.  He has a previous history of transient ischemic attack with no residual neurologic deficits.,The patient has undergone surgery by Dr. X for attempted nephrolithotomy.  The patient has experienced significant postoperative bleeding, for which it has been necessary to discontinue all anticoagulation.  The patient is presently seen at the request of Dr. X for management of anticoagulation and his above heart disease.,PAST MEDICAL AND SURGICAL HISTORY:,1.  Type I diabetes mellitus.,2.  Hyperlipidemia.,3.  Hypertension.,4.  Morbid obesity.,5.  Sleep apnea syndrome.,6.  Status post thyroidectomy for thyroid carcinoma.,REVIEW OF SYSTEMS:,General:  Unremarkable.,Cardiopulmonary:  No chest pain, shortness of breath, palpitations, or dizziness.,Gastrointestinal:  Unremarkable.,Genitourinary:  See above.,Musculoskeletal:  Unremarkable.,Neurologic:  Unremarkable.,FAMILY HISTORY: , There are no family members with coronary artery disease.  His mother has congestive heart failure.,SOCIAL HISTORY:  ,The patient is married.  He lives with his wife.  He is employed as a barber.  He does not use alcohol, tobacco, or illicit drugs.,MEDICATIONS PRIOR TO ADMISSION:,1.  Clonidine 0.3 mg b.i.d.,2.  Atenolol 50 mg daily.,3.  Simvastatin 80 mg daily.,4.  Furosemide 40 mg daily.,5.  Metformin 1000 mg b.i.d.,6.  Hydralazine 25 mg t.i.d.,7.  Diovan 320 mg daily.,8.  Lisinopril 40 mg daily.,9.  Amlodipine 10 mg daily.,10.  Lantus insulin 50 units q.p.m.,11.  KCl 20 mEq daily.,12.  NovoLog sliding scale insulin coverage.,13.  Warfarin 7.5 mg daily.,14.  Levothyroxine 0.2 mg daily.,15.  Folic acid 1 mg daily.,ALLERGIES: , None.,PHYSICAL EXAMINATION:,General:  A well-appearing, obese black male.,Vital Signs:  BP 140/80, HR 88, respirations 16, and afebrile.,HEENT:  Grossly normal.,Neck:  Normal.  Thyroid, normal.  Carotid, normal upstroke, no bruits.,Chest:  Midline sternotomy scar.,Lungs:  Clear.,Heart:  PMI fifth intercostal space mid clavicular line.  Normal S1 and prosthetic S2.  No murmur, rub, gallop, or click.,Abdomen:  Soft and nontender.  No palpable mass or hepatosplenomegaly."
+18,18-53713,01/01/2046,Cardiovascular / Pulmonary,"REASON FOR CONSULTATION: , Management of blood pressure.,HISTORY OF PRESENT ILLNESS: , The patient is a 38-year-old female admitted following a delivery.  The patient had a cesarean section.  Following this, the patient was treated for her blood pressure.  She was sent home and she came back again apparently with uncontrolled blood pressure.  She is on multiple medications, unable to control the blood pressure.  From cardiac standpoint, the patient denies any symptoms of chest pain, or shortness of breath.  She complains of fatigue and tiredness.  The child had some congenital anomaly, was transferred to Hospital, where the child has had surgery.  The patient is in intensive care unit.,CORONARY RISK FACTORS:,  History of hypertension, history of gestational diabetes mellitus, nonsmoker, and cholesterol is normal.  No history of established coronary artery disease and family history noncontributory for coronary disease.,FAMILY HISTORY: , Nonsignificant.,SURGICAL HISTORY:  ,No major surgery except for C-section.,MEDICATIONS:,  Presently on Cardizem and metoprolol were discontinued.  Started on hydralazine 50 mg t.i.d., and labetalol 200 mg b.i.d., hydrochlorothiazide, and insulin supplementation.,ALLERGIES: , None.,PERSONAL HISTORY: , Nonsmoker.  Does not consume alcohol.  No history of recreational drug use.,PAST MEDICAL HISTORY:,  Hypertension, gestational diabetes mellitus, pre-eclampsia, this is her third child with one miscarriage.,REVIEW OF SYSTEMS:,CONSTITUTIONAL:  No history of fever, rigors, or chills.,HEENT:  No history of cataract, blurry vision, or glaucoma.,CARDIOVASCULAR:  No congestive heart.  No arrhythmia.,RESPIRATORY:  No history of pneumonia or valley fever.,GASTROINTESTINAL:  No epigastric discomfort, hematemesis, or melena.,UROLOGIC:  No frequency or urgency.,MUSCULOSKELETAL:  No arthritis or muscle weakness.,SKIN:  Nonsignificant.,NEUROLOGICAL:  No TIA.  No CVA.  No seizure disorder.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Pulse of 86, blood pressure 175/86, afebrile, and respiratory rate 16 per minute.,HEENT:  Atraumatic and normocephalic.,NECK:  Neck veins are flat.,LUNGS:  Clear.,HEART:  S1 and S2 regular.,ABDOMEN:  Soft and nontender.,EXTREMITIES:  No edema.  Pulses palpable.,LABORATORY DATA: , EKG shows sinus tachycardia with nonspecific ST-T changes.  Labs were noted.  BUN and creatinine within normal limits.,IMPRESSION:,1.  Preeclampsia, status post delivery with Cesarean section with uncontrolled blood pressure.,2.  No prior history of cardiac disease except for borderline gestational diabetes mellitus.,RECOMMENDATIONS:,1.  We will get an echocardiogram for assessment left ventricular function.,2.  The patient will start on labetalol and hydralazine to see how see fairs.,3.  Based on response to medication, we will make further adjustments.  Discussed with the patient regarding plan of care, fully understands and consents for the same.  All the questions answered in detail."
+19,19-31513,01/01/2046,Cardiovascular / Pulmonary,"REASON FOR CONSULTATION: , Management of blood pressure.,HISTORY OF PRESENT ILLNESS: , The patient is a 38-year-old female admitted following a delivery.  The patient had a cesarean section.  Following this, the patient was treated for her blood pressure.  She was sent home and she came back again apparently with uncontrolled blood pressure.  She is on multiple medications, unable to control the blood pressure.  From cardiac standpoint, the patient denies any symptoms of chest pain, or shortness of breath.  She complains of fatigue and tiredness.  The child had some congenital anomaly, was transferred to Hospital, where the child has had surgery.  The patient is in intensive care unit.,CORONARY RISK FACTORS:,  History of hypertension, history of gestational diabetes mellitus, nonsmoker, and cholesterol is normal.  No history of established coronary artery disease and family history noncontributory for coronary disease.,FAMILY HISTORY: , Nonsignificant.,SURGICAL HISTORY:  ,No major surgery except for C-section.,MEDICATIONS:,  Presently on Cardizem and metoprolol were discontinued.  Started on hydralazine 50 mg t.i.d., and labetalol 200 mg b.i.d., hydrochlorothiazide, and insulin supplementation.,ALLERGIES: , None.,PERSONAL HISTORY: , Nonsmoker.  Does not consume alcohol.  No history of recreational drug use.,PAST MEDICAL HISTORY:,  Hypertension, gestational diabetes mellitus, pre-eclampsia, this is her third child with one miscarriage.,REVIEW OF SYSTEMS:,CONSTITUTIONAL:  No history of fever, rigors, or chills.,HEENT:  No history of cataract, blurry vision, or glaucoma.,CARDIOVASCULAR:  No congestive heart.  No arrhythmia.,RESPIRATORY:  No history of pneumonia or valley fever.,GASTROINTESTINAL:  No epigastric discomfort, hematemesis, or melena.,UROLOGIC:  No frequency or urgency.,MUSCULOSKELETAL:  No arthritis or muscle weakness.,SKIN:  Nonsignificant.,NEUROLOGICAL:  No TIA.  No CVA.  No seizure disorder.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Pulse of 86, blood pressure 175/86, afebrile, and respiratory rate 16 per minute.,HEENT:  Atraumatic and normocephalic.,NECK:  Neck veins are flat.,LUNGS:  Clear.,HEART:  S1 and S2 regular.,ABDOMEN:  Soft and nontender.,EXTREMITIES:  No edema.  Pulses palpable.,LABORATORY DATA: , EKG shows sinus tachycardia with nonspecific ST-T changes.  Labs were noted.  BUN and creatinine within normal limits.,IMPRESSION:,1.  Preeclampsia, status post delivery with Cesarean section with uncontrolled blood pressure.,2.  No prior history of cardiac disease except for borderline gestational diabetes mellitus.,RECOMMENDATIONS:,1.  We will get an echocardiogram for assessment left ventricular function.,2.  The patient will start on labetalol and hydralazine to see how see fairs.,3.  Based on response to medication, we will make further adjustments.  Discussed with the patient regarding plan of care, fully understands and consents for the same.  All the questions answered in detail."
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+0,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",0-7866
+1,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",1-58153
+2,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",2-93202
+3,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",3-22921
+4,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",4-23137
+5,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",5-53908
+6,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",6-94050
+7,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",7-84321
+8,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",8-88746
+9,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",9-89012
+10,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",10-26076
+11,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",11-99012
+12,60,01/01/2039,Neurology,"CHIEF COMPLAINT: , Right shoulder pain.,HISTORY: , The patient is a pleasant, 31-year-old, right-handed, white female who injured her shoulder while transferring a patient back on 01/01/02.  She formerly worked for Veteran's Home as a CNA.  She has had a long drawn out course of treatment for this shoulder.  She tried physical therapy without benefit and ultimately came to a subacromion decompression in November 2002.  She had ongoing pain and was evaluated by Dr. X who felt that she had a possible brachial plexopathy.  He also felt she had a right superficial radial neuritis and blocked this with resolution of her symptoms.  He then referred her to ABCD who did EMG testing, demonstrating a right suprascapular neuropathy although a C5 radiculopathy could not be ruled out.  MRI testing on the cervical spine was then done which was negative for disk herniation and she underwent suprascapular nerve decompression of the scapular notch on 12/18/03.  She finally went to an anterior axillary nerve block because of ongoing pain in the anterior shoulder again by Dr. X.  She comes to me for impairment rating.  She has no chronic health problems otherwise, fevers, chills, or general malaise.  She is not working.  She is right-hand dominant.  She denies any prior history of injury to her shoulder.,PAST MEDICAL HISTORY:,  Negative aside from above.,FAMILY HISTORY: , Noncontributory.,SOCIAL HISTORY:  ,Please see above.,REVIEW OF SYSTEMS:,  Negative aside from above.,PHYSICAL EXAMINATION:  ,A pleasant, age appropriate woman, moderately overweight, in no apparent distress.  Normal gait and station, normal posture, normal strength, tone, sensation and deep tendon reflexes with the exception of 4+/5 strength in the supraspinatus musculature on the right.  She has decreased motion in the right shoulder as follows.  She has 160 degrees of flexion, 155 degrees of abduction, 35 degrees of extension, 25 degrees of adduction, 45 degrees of internal rotation and 90 degrees of external rotation.  She has a positive impingement sign on the right.,ASSESSMENT:,  Right shoulder impingement syndrome, right suprascapular neuropathy.,DISCUSSION: , With a reasonable degree of medical certainty, she is at maximum medical improvement and she does have an impairment based on AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition.  The reason for this impairment is the incident of 01/01/02.  For her suprascapular neuropathy, she is rated as a grade IV motor deficit which I rate as a 13% motor deficit.  This is multiplied by a maximum upper extremity impairment for involvement of the suprascapular nerve of 16% which produces a 2% impairment of the upper extremity when the two values are multiplied together, 2% impairment of the upper extremity.  For her lack of motion in the shoulder she also has additional impairment on the right.  She has a 1% impairment of the upper extremity due to lack of shoulder flexion.  She has a 1% impairment of the upper extremity due to lack of shoulder abduction.  She has a 1% impairment of the upper extremity due to lack of shoulder adduction.  She has a 1% impairment of the upper extremity due to lack of shoulder extension.  There is no impairment for findings in shoulder external rotation.  She has a 3% impairment of the upper extremity due to lack of shoulder internal rotation.  Thus the impairment due to lack of motion in her shoulder is a 6% impairment of the upper extremity.  This combines with the 2% impairment of the upper extremity due to weakness in the suprascapular nerve root distribution to produce an 8% impairment of the upper extremity which in turn is a 5% impairment of the whole person based on the AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition, stated with a reasonable degree of medical certainty.",12-67011
+13,60,01/01/2039,Neurology,"CHIEF COMPLAINT: , Right shoulder pain.,HISTORY: , The patient is a pleasant, 31-year-old, right-handed, white female who injured her shoulder while transferring a patient back on 01/01/02.  She formerly worked for Veteran's Home as a CNA.  She has had a long drawn out course of treatment for this shoulder.  She tried physical therapy without benefit and ultimately came to a subacromion decompression in November 2002.  She had ongoing pain and was evaluated by Dr. X who felt that she had a possible brachial plexopathy.  He also felt she had a right superficial radial neuritis and blocked this with resolution of her symptoms.  He then referred her to ABCD who did EMG testing, demonstrating a right suprascapular neuropathy although a C5 radiculopathy could not be ruled out.  MRI testing on the cervical spine was then done which was negative for disk herniation and she underwent suprascapular nerve decompression of the scapular notch on 12/18/03.  She finally went to an anterior axillary nerve block because of ongoing pain in the anterior shoulder again by Dr. X.  She comes to me for impairment rating.  She has no chronic health problems otherwise, fevers, chills, or general malaise.  She is not working.  She is right-hand dominant.  She denies any prior history of injury to her shoulder.,PAST MEDICAL HISTORY:,  Negative aside from above.,FAMILY HISTORY: , Noncontributory.,SOCIAL HISTORY:  ,Please see above.,REVIEW OF SYSTEMS:,  Negative aside from above.,PHYSICAL EXAMINATION:  ,A pleasant, age appropriate woman, moderately overweight, in no apparent distress.  Normal gait and station, normal posture, normal strength, tone, sensation and deep tendon reflexes with the exception of 4+/5 strength in the supraspinatus musculature on the right.  She has decreased motion in the right shoulder as follows.  She has 160 degrees of flexion, 155 degrees of abduction, 35 degrees of extension, 25 degrees of adduction, 45 degrees of internal rotation and 90 degrees of external rotation.  She has a positive impingement sign on the right.,ASSESSMENT:,  Right shoulder impingement syndrome, right suprascapular neuropathy.,DISCUSSION: , With a reasonable degree of medical certainty, she is at maximum medical improvement and she does have an impairment based on AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition.  The reason for this impairment is the incident of 01/01/02.  For her suprascapular neuropathy, she is rated as a grade IV motor deficit which I rate as a 13% motor deficit.  This is multiplied by a maximum upper extremity impairment for involvement of the suprascapular nerve of 16% which produces a 2% impairment of the upper extremity when the two values are multiplied together, 2% impairment of the upper extremity.  For her lack of motion in the shoulder she also has additional impairment on the right.  She has a 1% impairment of the upper extremity due to lack of shoulder flexion.  She has a 1% impairment of the upper extremity due to lack of shoulder abduction.  She has a 1% impairment of the upper extremity due to lack of shoulder adduction.  She has a 1% impairment of the upper extremity due to lack of shoulder extension.  There is no impairment for findings in shoulder external rotation.  She has a 3% impairment of the upper extremity due to lack of shoulder internal rotation.  Thus the impairment due to lack of motion in her shoulder is a 6% impairment of the upper extremity.  This combines with the 2% impairment of the upper extremity due to weakness in the suprascapular nerve root distribution to produce an 8% impairment of the upper extremity which in turn is a 5% impairment of the whole person based on the AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition, stated with a reasonable degree of medical certainty.",13-28811
+14,67,01/01/2070,Neurology,"REASON FOR CONSULT: , Essential tremor and torticollis.,HISTORY OF PRESENT ILLNESS: , This is a 62-year-old right-handed now left-handed white female with tremor since 5th grade.  She remembers that the tremors started in her right hand around that time subsequently later on in early 20s she was put on propranolol for the tremor and more recently within the last 10 years she has been put on primidone and clonazepam.  She thinks that her clonazepam is helping her a lot especially with anxiety and stress, and this makes the tremor better.  She has a lot of trouble with her writing because of tremor but does not report as much problem with other activities of daily living like drinking from a cup and doing her day-to-day activity.  Since around 6 to 7 years, she has had a head tremor, which is mainly ""no- no"" and occasional voice tremor also.  Additionally, the patient has been diagnosed with migraine headaches without aura, which are far and few apart.  She also has some stress incontinence.  Last MRI brain was done in 2001 reportedly normal.,CURRENT MEDICATIONS:,1.  Klonopin 0.5 mg twice a day.,2.  Primidone 100 mg b.i.d.,3.  Propranolol long-acting 80 mg once in the morning.,PAST MEDICAL HISTORY: , Essential tremor, cervical dystonia, endometriosis, migraine headaches without aura, left ear sensorineural deafness, and basal cell carcinoma resection on the nose.,PAST SURGICAL HISTORY: , L5-S1 lumbar laminectomy in 1975, exploratory laparotomy in 1967, tonsillectomy and adenoidectomy, and anal fissure surgery in 1975.,FAMILY HISTORY: , Both parents have ET and hypertension.  Maternal cousin with lupus.,SOCIAL HISTORY: , Denies any smoking or alcohol.  She is married since 44 years, has 3 children.  She used to work as a labor and delivery nurse up until early 2001 when she retired.,REVIEW OF SYSTEMS: , No fever, chills, nausea or vomiting.  No visual complaints.  She complains of hearing decreased on the left.  No chest pain or shortness of breath.  No constipation.  She does give a history of urge incontinence.  No rashes.  No depressive symptoms.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Blood pressure is 131/72, pulse is 50, and weight is 71.3 kg.  HEENT:  PERRLA.  EOMI.  CARDIOVASCULAR:  S1 and S2 normal.  Regular rate and rhythm.  She does have a rash over the right ankle with a prior basal cell carcinoma was resected.  NEUROLOGIC:  Alert and oriented x4.  Speech shows a voice tremor occasionally.  Language is intact.  Cranial nerves II through XII intact.  Motor examination showed 5/5 power in all extremities with minimal increased tone.  Sensory examination was intact to light touch.  Reflexes were brisk bilaterally, but they were equal and both toes were downgoing.  Her coordination showed minimal intentional component to bilateral finger-to-nose.  Gait was intact.  Lot of swing on Romberg's.  The patient did have a tremor both upper extremities, right more than left.  She did have a head tremor, which was no-no variety, and she had a minimal torticollis with her head twisted to the left.,ASSESSMENT AND PLAN: , This 62-year-old white female has essential tremor and mild torticollis.  Tremor not bothersome for most activities of daily living, but she does have a great difficulty writing, which is totally illegible.  The patient did not wish to change any of her medication doses at this point.  We will go ahead and check MRI brain, and we will get the films later.  We will see her back in 3 months.  Also, the patient declined any possible Botox for the mild torticollis she has at this point.",14-60683
+15,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",15-96864
+16,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",16-9020
+17,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",17-14762
+18,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",18-81137
+19,77,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",19-72846
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+0,7,01/01/2061,Orthopedic,"EXAM:,MRI LEFT KNEE WITHOUT CONTRAST,CLINICAL:,This is a 53-year-old female with left knee pain being evaluated for ACL tear.,FINDINGS:,This examination was performed on 10-14-05.,Normal medial meniscus without intrasubstance degeneration, surface fraying or discrete meniscal tear.,There is a discoid lateral meniscus and although there may be minimal superficial fraying along the inner edge of the body, there is no discrete tear (series #6 images #7-12).,There is a near-complete or complete tear of the femoral attachment of the anterior cruciate ligament. The ligament has a balled-up appearance consistent with at least partial retraction of most of the fibers of the ligament. There may be a few fibers still intact (series #4 images #12-14; series #5 images #12-14). The tibial fibers are normal.,Normal posterior cruciate ligament.,There is a sprain of the medial collateral ligament, with mild separation of the deep and superficial fibers at the femoral attachment (series #7 images #6-12). There is no complete tear or discontinuity and there is no meniscocapsular separation.,There is a sprain of the lateral ligament complex without focal tear or discontinuity of any of the intraarticular components.,Normal iliotibial band.,Normal quadriceps and patellar tendons.,There is contusion within the posterolateral corner of the tibia. There is also contusion within the patella at the midline patellar ridge where there is an area of focal chondral flattening (series #8 images #10-13). The medial and lateral patellar facets are otherwise normal as is the femoral trochlea in the there is no patellar subluxation.,There is a mild strain of the vastus medialis oblique muscle extending into the medial patellofemoral ligament and medial patellar retinaculum but there is no complete tear or discontinuity.,Normal lateral patellar retinaculum. There is a joint effusion and plica.,IMPRESSION:, Discoid lateral meniscus without a tear although there may be minimal superficial fraying along the inner edge of the body.  Near-complete if not complete tear of the femoral attachment of the anterior cruciate ligament.  Medial capsule sprain with associated strain of the vastus medialis oblique muscle.  There is focal contusion within the patella at the midline patella ridge. Joint effusion and plica.",0-81322
+1,7,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",1-88811
+2,7,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",2-21552
+3,9,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",3-16333
+4,9,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",4-22352
+5,14,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",5-13028
+6,14,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",6-17889
+7,16,01/01/2061,Orthopedic,"EXAM:,MRI LEFT KNEE WITHOUT CONTRAST,CLINICAL:,This is a 53-year-old female with left knee pain being evaluated for ACL tear.,FINDINGS:,This examination was performed on 10-14-05.,Normal medial meniscus without intrasubstance degeneration, surface fraying or discrete meniscal tear.,There is a discoid lateral meniscus and although there may be minimal superficial fraying along the inner edge of the body, there is no discrete tear (series #6 images #7-12).,There is a near-complete or complete tear of the femoral attachment of the anterior cruciate ligament. The ligament has a balled-up appearance consistent with at least partial retraction of most of the fibers of the ligament. There may be a few fibers still intact (series #4 images #12-14; series #5 images #12-14). The tibial fibers are normal.,Normal posterior cruciate ligament.,There is a sprain of the medial collateral ligament, with mild separation of the deep and superficial fibers at the femoral attachment (series #7 images #6-12). There is no complete tear or discontinuity and there is no meniscocapsular separation.,There is a sprain of the lateral ligament complex without focal tear or discontinuity of any of the intraarticular components.,Normal iliotibial band.,Normal quadriceps and patellar tendons.,There is contusion within the posterolateral corner of the tibia. There is also contusion within the patella at the midline patellar ridge where there is an area of focal chondral flattening (series #8 images #10-13). The medial and lateral patellar facets are otherwise normal as is the femoral trochlea in the there is no patellar subluxation.,There is a mild strain of the vastus medialis oblique muscle extending into the medial patellofemoral ligament and medial patellar retinaculum but there is no complete tear or discontinuity.,Normal lateral patellar retinaculum. There is a joint effusion and plica.,IMPRESSION:, Discoid lateral meniscus without a tear although there may be minimal superficial fraying along the inner edge of the body.  Near-complete if not complete tear of the femoral attachment of the anterior cruciate ligament.  Medial capsule sprain with associated strain of the vastus medialis oblique muscle.  There is focal contusion within the patella at the midline patella ridge. Joint effusion and plica.",7-72789
+8,17,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",8-75892
+9,17,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",9-41985
+10,28,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",10-47745
+11,31,01/01/2077,Orthopedic,"EXAM:,MRI LEFT SHOULDER,CLINICAL:,This is a 69-year-old male with pain in the shoulder. Evaluate for rotator cuff tear.,FINDINGS:,Examination was performed on 9/1/05.,There is marked supraspinatus tendinosis and extensive tearing of the substance of the tendon and articular surface, extending into the myotendinous junction as well. There is still a small rim of tendon along the bursal surface, although there may be a small tear at the level of the rotator interval. There is no retracted tendon or muscular atrophy (series #6 images #6-17).,Normal infraspinatus tendon.,There is subscapularis tendinosis with fraying and partial tearing of the superior most fibers extending to the level of the rotator interval (series #9 images #8-13; series #3 images #8-14). There is no complete tear, gap or fiber retraction and there is no muscular atrophy.,There is tendinosis and superficial tearing of the long biceps tendon within the bicipital groove, and there is high grade (near complete) partial tearing of the intracapsular portion of the tendon. The biceps anchor is intact. There are degenerative changes in the greater tuberosity of the humerus but there is no fracture or subluxation.,There is degeneration of the superior labrum and there is a small nondisplaced tear in the posterior superior labrum at the one to two o’clock position (series #6 images #12-14; series #3 images #8-10; series #9 images #5-8). There is a small sublabral foramen at the eleven o’clock position (series #9 image #6). There is no osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is hypertrophic osteoarthropathy of the acromioclavicular joint with narrowing of the subacromial space and flattening of the superior surface of the supraspinatus musculotendinous junction, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion (series #8 images #3-12).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments. There is minimal fluid within the glenohumeral joint. There is no atrophy of the deltoid muscle.,IMPRESSION:,  There is extensive supraspinatus tendinosis and partial tearing as described. There is no retracted tendon or muscular atrophy, but there may be a small tear along the anterior edge of the tendon at the level of the rotator interval, and this associated partial tearing of the superior most fibers of the subscapularis tendon.  There is also a high-grade partial tear of the long biceps tendon as it courses under the transverse humeral ligament. There is no evidence of a complete tear or retracted tendon. Small nondisplaced posterior superior labral tear. Outlet narrowing from the acromioclavicular joint, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion.",11-38125
+12,33,01/01/2040,Orthopedic,"EXAM:,MRI RIGHT SHOULDER,CLINICAL:, A 32-year-old male with shoulder pain.,FINDINGS:,This is a second opinion interpretation of the examination performed on 02/16/06.,Normal supraspinatus tendon without surface fraying, gap or fiber retraction and there is no muscular atrophy.,Normal infraspinatus and subscapularis tendons.,Normal long biceps tendon within the bicipital groove. There is no subluxation of the tendon under the transverse humeral ligament and the intracapsular portion of the tendon is normal.,Normal humeral head without fracture or subluxation.,There is myxoid degeneration within the superior labrum (oblique coronal images #47-48), but there is no discrete tear. The remaining portions of the labrum are normal without osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is a persistent os acromiale, and there is minimal reactive marrow edema on both sides of the synchondrosis, suggesting that there may be instability (axial images #3 and 4). There is no diastasis of the acromioclavicular joint itself. There is mild narrowing of the subacromial space secondary to the os acromiale, in the appropriate clinical setting, this may be acting as an impinging lesion (sagittal images #56-59).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments.,There are no effusions or masses.,IMPRESSION:,Changes in the superior labrum compatible with degeneration without a discrete surfacing tear.,There is a persistent os acromiale, and there is reactive marrow edema on both sides of the synchondrosis suggesting instability. There is also mild narrowing of the subacromial space secondary to the os acromiale. This may be acting as an impinging lesion in the appropriate clinical setting.,There is no evidence of a rotator cuff tear.",12-44140
+13,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",13-20820
+14,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",14-48956
+15,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",15-62315
+16,42,01/01/2077,Orthopedic,"EXAM:,MRI LEFT SHOULDER,CLINICAL:,This is a 69-year-old male with pain in the shoulder. Evaluate for rotator cuff tear.,FINDINGS:,Examination was performed on 9/1/05.,There is marked supraspinatus tendinosis and extensive tearing of the substance of the tendon and articular surface, extending into the myotendinous junction as well. There is still a small rim of tendon along the bursal surface, although there may be a small tear at the level of the rotator interval. There is no retracted tendon or muscular atrophy (series #6 images #6-17).,Normal infraspinatus tendon.,There is subscapularis tendinosis with fraying and partial tearing of the superior most fibers extending to the level of the rotator interval (series #9 images #8-13; series #3 images #8-14). There is no complete tear, gap or fiber retraction and there is no muscular atrophy.,There is tendinosis and superficial tearing of the long biceps tendon within the bicipital groove, and there is high grade (near complete) partial tearing of the intracapsular portion of the tendon. The biceps anchor is intact. There are degenerative changes in the greater tuberosity of the humerus but there is no fracture or subluxation.,There is degeneration of the superior labrum and there is a small nondisplaced tear in the posterior superior labrum at the one to two o’clock position (series #6 images #12-14; series #3 images #8-10; series #9 images #5-8). There is a small sublabral foramen at the eleven o’clock position (series #9 image #6). There is no osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is hypertrophic osteoarthropathy of the acromioclavicular joint with narrowing of the subacromial space and flattening of the superior surface of the supraspinatus musculotendinous junction, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion (series #8 images #3-12).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments. There is minimal fluid within the glenohumeral joint. There is no atrophy of the deltoid muscle.,IMPRESSION:,  There is extensive supraspinatus tendinosis and partial tearing as described. There is no retracted tendon or muscular atrophy, but there may be a small tear along the anterior edge of the tendon at the level of the rotator interval, and this associated partial tearing of the superior most fibers of the subscapularis tendon.  There is also a high-grade partial tear of the long biceps tendon as it courses under the transverse humeral ligament. There is no evidence of a complete tear or retracted tendon. Small nondisplaced posterior superior labral tear. Outlet narrowing from the acromioclavicular joint, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion.",16-36537
+17,60,01/01/2039,Orthopedic,"DIAGNOSIS: , Ankle sprain, left ankle.,HISTORY: , The patient is a 31-year-old female who was referred to Physical Therapy secondary to a fall on 10/03/08.  The patient states that she tripped over her dog toy and fell with her left foot inverted.  The patient states that she received a series of x-rays and MRIs that were unremarkable.  After approximately 1 month, the patient continued to have significant debilitating pain in her left ankle.  She then received a walking boot and has been in the boot for the past month.,PAST MEDICAL HISTORY: , Significant for hypertension, asthma, and cervical cancer.  The cervical cancer was diagnosed as 15 years old.  The patient states that her cancer is ""dormant."",MEDICATIONS:,1.  Hydrochlorothiazide.,2.  Lisinopril.,3.  Percocet.,The patient states that the Percocet helps to take the edge of her pain, but does not completely eliminate it.,SUBJECTIVE: , The patient rates the pain at 2/10 on the pain analog scale.  The patient states that with elevation and rest, her pain subsides.,FUNCTIONAL ACTIVITIES/HOBBIES: , Currently limited including basic household chores and activities, this does increases her pain.  The patient states she also recently joined Weight Watchers and was involved in a walking routine and is currently unable to participate in this activity.,WORK STATUS: , The patient is currently on medical leave as a paraprofessional.  The patient states that she works as a teacher's aide in the school system and is required to complete extensive walking and standing activities.  The patient states that she is primarily on her feet while at work and rarely has a sitting break for extensive period of time.  The patient's goal is to be able to stand and walk without pain.,SOCIAL HISTORY:  ,The patient lives in a private home with children and her father.  The patient states that she does have stairs to negotiate without the use of a railing.  She states that she is able to manage the stairs, however, is very slow with her movement.  The patient smokes 1-1/2 packs of cigarettes a day and does not have a history of regular exercise routine.,OBJECTIVE: , Upon observation, the patient is a very obese female who is ambulating with significant antalgic gait pattern and altered normal gait due to the pain as well as the walking boot.  Upon inspection of the left ankle, it appears to have swelling, unsure if this swelling is secondary to injury or water retention as the patient states she has significant water retention.  When compared to right ankle edema, it is approximately equal.  There is no evidence of discoloration or temperature.  The patient states that she had no bruising at the time of injury.,Active range of motion of left ankle is as follows:  Dorsiflexion is 6 degrees past neutral and plantar flexion is 54 degrees, eversion 20 degrees, and inversion is 30 degrees.  Left ankle dorsiflexion lacks 10 degrees from neutral and plantar flexion is 36 degrees, this motion is very painful.  The patient was tearful during this activity.  Eversion is 3 degrees and inversion is 25 degrees.  The patient states this movement was difficult, but not painful.  Strength testing of the right lower extremity is grossly 4+-5/5 and left ankle is 2/5 as the patient is unable to obtain full range of motion.,PALPATION: , The patient is very tender to palpation primarily along the lateral malleolus of the left ankle.,JOINT PLAY: , Unable to be assessed secondary to the patient's extreme tenderness and guarding of the ankle joint.,SPECIAL TESTS:,  A 6-minute walk test.  The patient was able to ambulate approximately 600 feet while wearing her walking boot prior to her pain significantly increasing in the ankle and requiring the test to be stopped.,ASSESSMENT:  ,The patient would benefit from skilled physical therapy intervention as a trial of treatment in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to complete work task and functional activities in the home.,5.  Decreased gait pattern.,SHORT-TERM GOALS TO BE COMPLETED IN 3 WEEKS:,1.  The patient will demonstrate independence with home exercise program.,2.  The patient will ambulate without her boot for 48 hours in order to decrease reliance upon the boot for ankle stabilization.,3.  The patient will achieve left ankle dorsiflexion to neutral and plantar flexion to 45 degrees without significant increase in pain.,4.  The patient will demonstrate 3/5 strength of the left ankle.,5.  The patient will tolerate the completion of the 6-minute walk test without the use of a boot with minimal increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN 6 WEEKS:,1.  The patient will report 0/10 pain in the 48-hour period without the use of medication and without wearing her boot.,2.  The patient will return to go through the work without the use of the walking boot with report of minimal increase in pain and discomfort.,PROGNOSIS:,  Fair for above-stated goals with full compliance to home exercise program and therapy treatment as well as the patient motivation.,PLAN: , The patient to be seen three times a week for 6 weeks for the following:",17-53528
+18,60,01/01/2039,Orthopedic,"DIAGNOSIS: , Ankle sprain, left ankle.,HISTORY: , The patient is a 31-year-old female who was referred to Physical Therapy secondary to a fall on 10/03/08.  The patient states that she tripped over her dog toy and fell with her left foot inverted.  The patient states that she received a series of x-rays and MRIs that were unremarkable.  After approximately 1 month, the patient continued to have significant debilitating pain in her left ankle.  She then received a walking boot and has been in the boot for the past month.,PAST MEDICAL HISTORY: , Significant for hypertension, asthma, and cervical cancer.  The cervical cancer was diagnosed as 15 years old.  The patient states that her cancer is ""dormant."",MEDICATIONS:,1.  Hydrochlorothiazide.,2.  Lisinopril.,3.  Percocet.,The patient states that the Percocet helps to take the edge of her pain, but does not completely eliminate it.,SUBJECTIVE: , The patient rates the pain at 2/10 on the pain analog scale.  The patient states that with elevation and rest, her pain subsides.,FUNCTIONAL ACTIVITIES/HOBBIES: , Currently limited including basic household chores and activities, this does increases her pain.  The patient states she also recently joined Weight Watchers and was involved in a walking routine and is currently unable to participate in this activity.,WORK STATUS: , The patient is currently on medical leave as a paraprofessional.  The patient states that she works as a teacher's aide in the school system and is required to complete extensive walking and standing activities.  The patient states that she is primarily on her feet while at work and rarely has a sitting break for extensive period of time.  The patient's goal is to be able to stand and walk without pain.,SOCIAL HISTORY:  ,The patient lives in a private home with children and her father.  The patient states that she does have stairs to negotiate without the use of a railing.  She states that she is able to manage the stairs, however, is very slow with her movement.  The patient smokes 1-1/2 packs of cigarettes a day and does not have a history of regular exercise routine.,OBJECTIVE: , Upon observation, the patient is a very obese female who is ambulating with significant antalgic gait pattern and altered normal gait due to the pain as well as the walking boot.  Upon inspection of the left ankle, it appears to have swelling, unsure if this swelling is secondary to injury or water retention as the patient states she has significant water retention.  When compared to right ankle edema, it is approximately equal.  There is no evidence of discoloration or temperature.  The patient states that she had no bruising at the time of injury.,Active range of motion of left ankle is as follows:  Dorsiflexion is 6 degrees past neutral and plantar flexion is 54 degrees, eversion 20 degrees, and inversion is 30 degrees.  Left ankle dorsiflexion lacks 10 degrees from neutral and plantar flexion is 36 degrees, this motion is very painful.  The patient was tearful during this activity.  Eversion is 3 degrees and inversion is 25 degrees.  The patient states this movement was difficult, but not painful.  Strength testing of the right lower extremity is grossly 4+-5/5 and left ankle is 2/5 as the patient is unable to obtain full range of motion.,PALPATION: , The patient is very tender to palpation primarily along the lateral malleolus of the left ankle.,JOINT PLAY: , Unable to be assessed secondary to the patient's extreme tenderness and guarding of the ankle joint.,SPECIAL TESTS:,  A 6-minute walk test.  The patient was able to ambulate approximately 600 feet while wearing her walking boot prior to her pain significantly increasing in the ankle and requiring the test to be stopped.,ASSESSMENT:  ,The patient would benefit from skilled physical therapy intervention as a trial of treatment in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to complete work task and functional activities in the home.,5.  Decreased gait pattern.,SHORT-TERM GOALS TO BE COMPLETED IN 3 WEEKS:,1.  The patient will demonstrate independence with home exercise program.,2.  The patient will ambulate without her boot for 48 hours in order to decrease reliance upon the boot for ankle stabilization.,3.  The patient will achieve left ankle dorsiflexion to neutral and plantar flexion to 45 degrees without significant increase in pain.,4.  The patient will demonstrate 3/5 strength of the left ankle.,5.  The patient will tolerate the completion of the 6-minute walk test without the use of a boot with minimal increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN 6 WEEKS:,1.  The patient will report 0/10 pain in the 48-hour period without the use of medication and without wearing her boot.,2.  The patient will return to go through the work without the use of the walking boot with report of minimal increase in pain and discomfort.,PROGNOSIS:,  Fair for above-stated goals with full compliance to home exercise program and therapy treatment as well as the patient motivation.,PLAN: , The patient to be seen three times a week for 6 weeks for the following:",18-62383
+19,63,01/01/2026,Orthopedic,"CHIEF COMPLAINT:  ,This 18 year old male presents today with shoulder pain right.  Location:  He indicates the problem location is the right shoulder diffusely.  Quality:  Quality of the pain is described by the patient as aching, throbbing and tolerable.  Patient relates pain on a scale from 0 to 10 as 5/10.  Severity:  The severity has worsened over the past 3 months.  Timing (onset/frequency):  Onset was gradual and after pitching a baseball game.  Modifying Factors:  Patient's condition is aggravated by throwing.  He participates with difficulty in basketball.  Past conservative treatments include NSAID and muscle relaxant medications.,ALLERGIES: , No known medical allergies.,MEDICATION HISTORY:,  None.,PAST MEDICAL HISTORY:  ,Childhood Illnesses: (+) strep throat (+) mumps (+) chickenpox,PAST SURGICAL HISTORY:,  No previous surgeries.,FAMILY HISTORY:,  Patient admits a family history of arthritis associated with mother.,SOCIAL HISTORY: , Patient denies smoking, alcohol abuse, illicit drug use and STDs.,REVIEW OF SYSTEMS:,Musculoskeletal: (+) joint or musculoskeletal symptoms (+) stiffness in AM.,Psychiatric: (-) psychiatric or emotional difficulties.,Eyes: (-) visual disturbance or change.,Neurological: (-) neurological symptoms or problems Endocrine: (-) endocrine-related symptoms.,Allergic / Immunologic: (-) allergic or immunologic symptoms.,Ears, Nose, Mouth, Throat: (-) symptoms involving ear, nose, mouth, or throat.,Gastrointestinal: (-) GI symptoms.,Genitourinary: (-) GU symptoms.,Constitutional Symptoms: (-) constitutional symptoms such as fever, headache, nausea, dizziness.,Cardiovascular: (-) cardiovascular problems or chest symptoms.,Respiratory: (-)breathing difficulties, respiratory symptoms.,Physical Exam:  BP Standing:  116/68 Resp:  16 HR:  68 Temp:  98.1 Height:  5 ft.  11 in.  Weight:  165 lbs.  Patient is a 18 year old male who appears pleasant, in no apparent distress, his given age, well developed, well nourished and with good attention to hygiene and body habitus.  Oriented to person, place and time.  Right shoulder shows evidence of swelling and tenderness.  Radial pulses are 2 /4, bilateral.  Brachial pulses are 2 /4, bilateral.,Appearance:  Normal.,Tenderness:  Anterior - moderate, Biceps - none, Posterior - moderate and Subacromial - moderate right.,Range of Motion:  Right shoulder ROM shows decreased flexion, decreased extension, decreased adduction, decreased abduction, decreased internal rotation, decreased external rotation.  L shoulder normal.,Strength:  External rotation - fair.  Internal rotation - poor right.,AC Joint:  Pain with ABD and cross-chest - mild right.,Rotator Cuff:  Impingement - moderate.  Painful arc - moderate right.,Instability:  None.,TEST & X-RAY RESULTS:,  X-rays of the shoulder were performed.  X-ray of right shoulder reveals cuff arthropathy present.,IMPRESSION: , Rotator cuff syndrome, right.,PLAN: , Diagnosis of a rotator cuff tendinitis and shoulder impingement were discussed.  I noted that this is a very common condition resulting in significant difficulties with use of the arm.  Several treatment options and their potential benefits were described.  Nonsteroidal anti-inflammatories can be helpful but typically are slow acting.  Cortisone shots can be very effective and are quite safe.  Often more than one injection may be required.  Physical therapy can also be helpful, particularly if there is any loss of shoulder mobility or strength.  If these treatments fail to resolve symptoms, an MRI or shoulder arthrogram may be required to rule out a rotator cuff tear.  Injected shoulder joint and with Celestone Soluspan 1.0 cc .  Ordered x-rays of shoulder right.,PRESCRIPTIONS:,  Vioxx Dosage:  25 mg tablet Sig:  TID Dispense:  60 Refills:  0 Allow Generic:  Yes,PATIENT INSTRUCTIONS:,  Patient was instructed to restrict activity.  Patient was given instructions on RICE therapy.",19-50597
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+,name,text
+0,0-27173,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.
+
+PRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.
+
+In regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.
+
+DEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.
+
+FAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.
+
+Mother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.
+
+ACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.
+
+SOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.
+
+PREVIOUS COUNSELING: Denied.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.
+
+PLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.
+
+DSM IV DIAGNOSES:
+AXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)
+AXIS II: No diagnoses (V71.09).
+AXIS III: No diagnoses.
+AXIS IV: Problems with primary support group.
+AXIS V: Global assessment of functioning equals 65."
+1,1-98869,"
+The patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.
+
+IDENTIFYING DATA: Mr. T is a 45-year-old white male.
+
+CHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.
+
+HISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee."" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him ""bitch."" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to ""deal with it.""
+
+There are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.
+
+PAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.
+
+PAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.
+
+SUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.
+
+LEGAL HISTORY: Currently, charges are pending over the above described incident.
+
+MEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.
+
+PERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.
+
+Mr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.
+
+Mental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.
+
+He presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.
+
+There was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.
+
+IMPRESSIONS: Major Depressive Disorder, single episode
+
+RECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.
+"
+2,2-43989,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at Children's Hospital due to a recent admission for pseudoseizures. This was a 90-minute initial intake completed on 10/19/2007 with the patient's mother. I have reviewed with her the boundaries of confidentiality and the treatment consent form, and she stated that she had understood these concepts.
+
+PRESENTING PROBLEM: It is reported that the patient was recently hospitalized and has been hospitalized in 2 occasions for pseudoseizure activity. These were confirmed by video EEG and consist of trembling, shaking, and things of that nature. She does have a history of focal seizures and perhaps simple seizures, which were diagnosed when she was 5 years old, but the seizure activity that was documented during the hospital stay is of a significant different quality. I had met with them in the hospital and introduced myself and gathered some basic background information, but this is a supplement to that information, which is contained within this chart. It was reported to me that she has been under considerable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, she operates at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is against her, that she cannot do anything unless someone is there, that she needs a lot of direction, that she gets confused easily, that she thinks that people become angry at her, that she misinterprets what people are saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her often. It was reported that in addition she recently has had change in her visitation with her father, that she within the last 6 months, has started seeing her father every other weekend after he had been discharged from prison. She reported that what is stress for her is that sometimes he does not always show up for visits or is late and that upsets her a lot and that she is upset when she has to leave him, also additional stressor is at school. She reports that she has no friends that she feels unwanted and picked on. She gets confused easily at school, worries about things, and believes that the teachers become angry with her. In regards to her mood, mother reported that she is usually happy, unless things do not go her way, and then, she becomes upset and says that nobody cares about her. She sits in the couch, she become angry, does not speak. Mother sends her to her room, and she calms down, takes a couple of deep breaths, and that passes. It is reported that the patient has ""always been this way"" and that is not a change in her behavior. Mother did think that she did seem a little more depressed, that she seems more lonely. Over the last few months, she has seemed a little bit more down because she does not have any friends and that she is bored. Mother reported that she frequently complains of being bored, but has always been this way. No sleep disturbance was noted. No changes in weight. No suicidal ideation. No deficits in energy were noted. Mother did report that she does tend to worry, but her worries tend to be because she gets confused, does not understand what she needs to do, and is quite rigid, but mother did not feel that the worry was actually affecting her functioning on a daily basis.
+
+DEVELOPMENTAL HISTORY: The patient was the 5 pound 12 ounce product of an unplanned pregnancy and normal spontaneous vaginal delivery. She was delivered at 36 weeks' gestation. Mother reported that she received prenatal care. Difficulties during the pregnancy were denied. The use of drugs, alcohol, tobacco during the pregnancy were denied. No eating or sleeping difficulties during the perinatal period were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother was not able to tell me the exact kind of seizures, but it would appear from I could gather that they are focal seizures and possibly simple-to-complex partial seizures. The patient does not have a history of allergy or toileting problems. She is currently taking Trileptal 450 mg b.i.d., and she is currently taking Depakote, although she is going to be weaned off the Depakote by her neurologist. She is taking Prevacid and ibuprofen. The neurologist that she sees is Dr. Y here at Children's Hospital.
+
+FAMILY BACKGROUND: In terms of family background, the patient lives with her mother age 38 and her mother's partner, who is age 40, and with her 16-year-old sister who does not have any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990, married in 1997, separated in 2002, and divorced in 2003; he lives in the ABC area and visits them every other Saturday, but there are no overnight visits. The paternal grandparents are both living here in California, but are separated. They are 3 paternal uncles and 2 paternal aunts. In terms of the maternal family, maternal grandmother and grandfather are deceased. Maternal grandfather deceased in 1991 due to cancer. Maternal grandmother deceased in 2001 due to cancer. There are 5 maternal aunts and 2 maternal uncles, all who live in California. She reported that the patient is particularly close to her maternal aunt, whose name is Carmen. Mother's partner had been married previously; he has 2 children from that relationship, a 23-year-old, and a 20-year-old female, who really are not part of the patient's daily life. In terms of other family background, it was reported that the mother's partner gets frustrated with The patient, does not completely understand the degree of her delay and how that may affect her ability to do things as well as her interpretation of things. The sister was described as having some resentment towards her older sister, that she feels like she was just to watch out for her, care for her, and that sister has always wanted to follow her around and do the things that she does. The biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with methamphetamine. In addition, she reported there is an accusation that he had molested their niece; however, she stated that there was a trial, and he was found to be not guilty of that. She stated there was no evidence that he had ever molested the patient or her sister. There had been quite a bit of chaos in the family when the mother and father were together. There was a lot of arguing. There were a lot of moves, there was domestic violence both from father to mother and mother to father consisting mostly of pushing and shoving by mother's report. The patient did observe this. After the separation, it was reported that there were continued difficulties that the father took the patient and her sister from school without mother's knowledge and had filed to get custody of them and actually ended up having custody of them for a month, and told the patient and her sister that the mother had abandoned them. Mother reported that they went to court, and there was a court order giving the mother custody back after the father went to jail. Mother stated that was approximately 5 years ago. In terms of current, mother reports that she currently works 2 jobs from 8 to 5 on Monday and Friday and from 6 to 10 on Monday, Wednesday's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on several weeknights.
+
+Mother reported that she graduated from high school, had a year of college. She was an average student, had learning difficulties in reading. No psychological or drug or alcohol history was reported by mother. In terms of the biological father, mother stated that he graduated from high school, had a couple of years of college, was a good student, no learning problems or psychological problems for him were reported. Mother reported that he had a history of methamphetamine use.
+
+Other psychiatric history in the family was denied.
+
+SOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonely and bored, really does not do much for fun. Her fun consists primarily of doing crafts with mother, sewing, painting, drawing, beadwork, and things like that. It was reported that she really feels that she is bored and does not have much to do.
+
+ACADEMIC BACKGROUND: The patient is in the 11th grade at High School. She has 2 regular education classes, mother could not tell me what they were, but the rest of her classes are special education. Mother could not tell me what her IQ was, although she noticed she works at about a 4th or 5th grade level. Mother reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, but she reported that overall she is a good student, but she does have sometimes some difficulties at school, becoming upset or angry regarding the little things that she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely, and that is she does not really care for school. She reported that the patient is involved in a work program through the school where she works at Pet Extreme on Mondays and Wednesdays from 3 to 8 p.m. where she stocks shelves. It is reported that she does not like to go to school because she feels like nobody likes her. She is not involved in any kind of clubs or groups at school. Mother reported that she is also not receiving CVRC services.
+
+PREVIOUS COUNSELING: Mother reported that she has been in counseling before, but mother could not give me any information about that, who did the counseling, or what it was about. She does receive evidently some peer counseling at school because she gets upset and needs help in calming down.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: It appears that the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the ""seizure episodes"" are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes in her life, also difficulty in functioning likely due to her developmental delay makes it difficult for her to understand.
+
+PLAN: My plan is to meet with the patient in approximately 1 to 2 weeks to complete a clinical interview with her, and then to begin teaching coping skills as well as explore ways for reducing her stress.
+
+DSM IV DIAGNOSES:
+AXIS I: Conversion disorder (300.11).
+AXIS II: Diagnoses deferred.
+AXIS III: Seizure disorder.
+AXIS IV: Problems with primary support group, peer problems, and educational problems.
+AXIS V: Global assessment of functioning equals 60.
+"
diff --git a/medcat-trainer/supervisord.conf b/medcat-trainer/supervisord.conf
new file mode 100644
index 000000000..3cee5857b
--- /dev/null
+++ b/medcat-trainer/supervisord.conf
@@ -0,0 +1,29 @@
+[supervisord]
+nodaemon=true
+user=root
+logfile=/var/log/supervisord.log
+pidfile=/var/run/supervisord.pid
+
+[program:medcattrainer]
+command=sh -c "exec /home/scripts/run.sh 2>&1 | sed 's/^/[medcattrainer] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
+
+[program:bg-process]
+command=sh -c "exec /home/scripts/run-bg-process.sh 2>&1 | sed 's/^/[bg-process] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
+
+[program:db-backup]
+command=sh -c "exec cron -f -l 2 2>&1 | sed 's/^/[db-backup] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
\ No newline at end of file
diff --git a/medcat-trainer/webapp/Dockerfile b/medcat-trainer/webapp/Dockerfile
new file mode 100644
index 000000000..917344666
--- /dev/null
+++ b/medcat-trainer/webapp/Dockerfile
@@ -0,0 +1,44 @@
+FROM python:3.11
+
+# Update and upgrade everything
+RUN apt-get update -y && \
+    apt-get upgrade -y
+
+# install vim as its annoying not to have an editor
+RUN apt-get install -y vim
+
+# install supervisor
+RUN apt-get install -y supervisor
+
+# install cron - and remove any default tabs
+RUN apt-get install -y cron && which cron && rm -rf /etc/cron.*/*
+
+# Get node and npm
+RUN apt install -y nodejs && apt install -y npm
+
+# Install Rust - for tokenziers dep in medcat.
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
+ENV PATH="/root/.cargo/bin:${PATH}"
+
+# Copy project
+WORKDIR /home
+COPY ./ .
+
+# copy backup crontab and chmod scripts
+RUN chmod u+x /home/scripts/entry.sh && chmod u+x /home/scripts/crontab && cp /home/scripts/crontab /etc/crontab
+
+# Build frontend
+WORKDIR /home/frontend
+RUN npm install && npm run build
+
+# Install requirements for backend
+WORKDIR /home/
+RUN pip install pip --upgrade 
+RUN pip install --upgrade setuptools
+RUN pip install --no-cache-dir -r requirements.txt
+ARG SPACY_MODELS="en_core_web_md"
+RUN for SPACY_MODEL in ${SPACY_MODELS}; do python -m spacy download ${SPACY_MODEL}; done
+
+WORKDIR /home/api/
+RUN chmod a+x /home/scripts/run.sh
+RUN chmod a+x /home/scripts/run-bg-process.sh
diff --git a/medcat-trainer/webapp/api/api/__init__.py b/medcat-trainer/webapp/api/api/__init__.py
new file mode 100644
index 000000000..f9e67cbb5
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/__init__.py
@@ -0,0 +1,2 @@
+
+default_app_config = 'api.apps.ApiConfig'
diff --git a/medcat-trainer/webapp/api/api/admin/__init__.py b/medcat-trainer/webapp/api/api/admin/__init__.py
new file mode 100644
index 000000000..ba61bf3d8
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/admin/__init__.py
@@ -0,0 +1,21 @@
+from .models import *
+from .actions import *
+from ..models import *
+
+admin.site.register(Entity)
+admin.site.register(MetaTaskValue)
+admin.site.register(MetaTask)
+admin.site.register(Vocabulary)
+admin.site.register(Relation)
+admin.site.register(EntityRelation)
+admin.site.register(ProjectGroup, ProjectGroupAdmin)
+admin.site.register(ProjectAnnotateEntities, ProjectAnnotateEntitiesAdmin)
+admin.site.register(AnnotatedEntity, AnnotatedEntityAdmin)
+admin.site.register(MetaAnnotation, MetaAnnotationAdmin)
+admin.site.register(ConceptDB, ConceptDBAdmin)
+admin.site.register(Document, DocumentAdmin)
+admin.site.register(ExportedProject, ExportedProjectAdmin)
+admin.site.register(ProjectMetrics, ProjectMetricsAdmin)
+admin.site.register(Dataset, DatasetAdmin)
+admin.site.register(ModelPack, ModelPackAdmin)
+admin.site.register(MetaCATModel, MetaCATModelAdmin)
diff --git a/medcat-trainer/webapp/api/api/admin/actions.py b/medcat-trainer/webapp/api/api/admin/actions.py
new file mode 100644
index 000000000..1ec12d16f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/admin/actions.py
@@ -0,0 +1,394 @@
+import copy
+import json
+import logging
+from datetime import datetime
+from io import StringIO
+from typing import Dict, List
+
+from background_task import background
+from django.db.models import QuerySet
+from django.http import HttpResponse
+from rest_framework.exceptions import PermissionDenied
+
+from api.models import AnnotatedEntity, MetaAnnotation, EntityRelation, Document, ConceptDB
+from api.solr_utils import drop_collection, import_all_concepts
+from api.utils import clear_cdb_cnf_addons
+
+from medcat.cdb import CDB
+
+logger = logging.getLogger(__name__)
+
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+
+def reset_project(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    for project in queryset:
+        # Remove all annotations and cascade to meta anns
+        AnnotatedEntity.objects.filter(project=project).delete()
+
+        # Clear validated_docuents and prepared_documents
+        project.validated_documents.clear()
+        project.prepared_documents.clear()
+
+
+
+def download_without_text(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    return download_projects_without_text(projects, with_doc_name=False)
+
+
+def download_without_text_with_doc_names(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    return download_projects_without_text(projects, with_doc_name=True)
+
+
+def download_projects_without_text(projects, with_doc_name):
+
+    all_projects_out = {'projects': []}
+    for project in projects:
+        out = {}
+        out['name'] = project.name
+        out['id'] = project.id
+        out['cuis'] = project.cuis
+        out['documents'] = []
+
+        if project.cuis_file is not None and project.cuis_file:
+            # Add cuis from json file if it exists
+            cuis_from_file = ",".join(json.load(open(project.cuis_file.path)))
+            all_cuis = out['cuis'] + "," + cuis_from_file if len(out['cuis']) > 0 else cuis_from_file
+            out['cuis'] = all_cuis
+
+        for doc in project.validated_documents.all():
+            out_doc = {}
+            out_doc['id'] = doc.id
+            out_doc['last_modified'] = str(doc.last_modified)
+            out_doc['annotations'] = []
+            if with_doc_name:
+                out_doc['name'] = doc.name
+
+            anns = AnnotatedEntity.objects.filter(project=project, document=doc)
+
+            for ann in anns:
+                out_ann = {}
+                out_ann['id'] = ann.id
+                out_ann['user'] = ann.user.username
+                out_ann['validated'] = ann.validated
+                out_ann['correct'] = ann.correct
+                out_ann['deleted'] = ann.deleted
+                out_ann['alternative'] = ann.alternative
+                out_ann['killed'] = ann.killed
+                out_ann['irrelevant'] = ann.irrelevant
+                out_ann['last_modified'] = str(ann.last_modified)
+                out_ann['manually_created'] = ann.manually_created
+                out_ann['acc'] = ann.acc
+                out_ann['meta_anns'] = {}
+
+                # Get MetaAnnotations
+                meta_anns = MetaAnnotation.objects.filter(annotated_entity=ann)
+                for meta_ann in meta_anns:
+                    o_meta_ann = {}
+                    o_meta_ann['name'] = meta_ann.meta_task.name
+                    o_meta_ann['value'] = meta_ann.meta_task_value.name
+                    o_meta_ann['acc'] = meta_ann.acc
+                    o_meta_ann['validated'] = meta_ann.validated
+
+                    # Add annotation
+                    key = meta_ann.meta_task.name
+                    out_ann['meta_anns'][key] = o_meta_ann
+
+                out_doc['annotations'].append(out_ann)
+            out['documents'].append(out_doc)
+        all_projects_out['projects'].append(out)
+
+    sio = StringIO()
+    json.dump(all_projects_out, sio)
+    sio.seek(0)
+
+    f_name = "MedCAT_Export_No_Text_{}.json".format(datetime.now().strftime('%Y-%m-%d:%H:%M:%S'))
+    response = HttpResponse(sio, content_type='text/json')
+    response['Content-Disposition'] = 'attachment; filename={}'.format(f_name)
+    return response
+
+
+def download(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+    projects = queryset
+    return download_projects_with_text(projects)
+
+
+def download_projects_with_text(projects: QuerySet):
+    all_projects = retrieve_project_data(projects)
+
+    sio = StringIO()
+    json.dump(all_projects, sio)
+    sio.seek(0)
+
+    f_name = "MedCAT_Export_With_Text_{}.json".format(datetime.now().strftime('%Y-%m-%d:%H:%M:%S'))
+    response = HttpResponse(sio, content_type='text/json')
+    response['Content-Disposition'] = 'attachment; filename={}'.format(f_name)
+
+    return response
+
+
+def retrieve_project_data(projects: QuerySet) -> Dict[str, List]:
+    """
+    A function to convert a list of projects and:
+        - their associated documents,
+        - their associated annotations,
+        - their associated Meta annotations and Relation Annotations
+    for serialization.
+    Output schema is as follows: ((optional) indicates this field isn't required for training a MedCAT model)
+    {
+    "projects": [
+        {
+            "name": "<project_name"  # name of the project
+            "id": "<id>"  # the auto-generated id of the project (optional)
+            "project_group_id": "<id>"  # the auto-generated id of the project - nullable
+            "project_group_name": "<group_name>"   # the name of the project group if set.
+            "project_status": "<project_status>"   # status - either annotating, discontinued, complete
+            "project_locked": "<project_locked>"   # locked - for no further annotations
+            "cuis": ["cui_1", "cui_2" ... ]  # the CUI filter for the project, includes those from file / and text-box
+            "meta_anno_defs": [
+                # list of meta annotation tasks configured for this project.
+                {
+                    "name": "Name of meta annotation task",
+                    "values": [
+                        "<first value>",
+                        "<second value>"
+                        ...
+                    ],
+                },
+                ... more meta_annotation tasks configured for this project
+            ],
+            "relation_anno_defs": [
+                "<name1>",
+                "<name2>"
+                ... more relation annotation task names configured for this project
+            ]
+            "documents": [
+                {
+                "id": "<id>"  # the auto-generated id of the document (optional)
+                "name": "<name>"  # the name of the document (optional), but used in stat printing during training
+                "text": "<text>"  # the text of the document
+                "last_modified": "<date time>"  # the last modified-time (optional)
+                "annotations": [{
+                    "id": "<id>"  # the auto-generated id of the document (optional)
+                    "name": "<username string>"  # the user who made the annotation (optional)
+                    "cui": "<cui string>"  # the cui label for this annotation
+                    "value": "<string>"  # the text span for this annotation
+                    "start": <integer>  # the start index of this annotation with respect to the document text
+                    "end": <integer>  # the end index of this annotation with respect to the document text
+                    "validated": <boolean>  # if the annotation has been marked by a human annotator
+                    "correct": <boolean>  # if the text span is correctly linked to the CUI of this annotation
+                    "deleted": <boolean>  # if the text span was incorrectly linked or 'not' linked by MedCAT due to low scores
+                    "alternative": <boolean>  # if the text span was incorrectly linked by MedCAT, then correctly linked by a human annotator
+                    "killed":  <boolean>  # if a human annotator 'terminated' this annotation
+                    "irrelevant": <boolean>  # if a human annotator has marked an annotation as irrelevant (optional)
+                    "acc": <float>  # accuracy provided by MedCAT (optional)
+                    "comment": "<comment string>" # the text entered by an annotator during annotation (optional)
+                    "meta_anns": [
+                        # list of meta annotations if applicable to project
+                        {
+                            "name": <string>  # Meta anno task name, i.e. temporality
+                            "value": <string>  # the selected meta anno task value for, ie. "past" or "present"
+                            "acc":  <float>   # default 1, (optional)
+                            "validated": <boolean>  # Meta annotation has been made by a human annotator, default (true)
+                        },
+                        ... <more meta annotations of the same as above structure>
+                    ]},
+                    ... <more annotations of the same above structure>
+                ]
+                "relations": [
+                    {
+                        "start_entity": <integer>  # id of above annotation that is the start of this relation
+                        "start_entity_cui": "<string>" # the cui label of the start of this relation
+                        "start_entity_value": <string>  # value of the start annotation for this relation
+                        "start_entity_start_idx": <integer>  # start index of text span of start of relation
+                        "start_entity_end_idx": <integer>  # end index of text span of start of relation
+                        "end_entity": <integer>  # id of the above annotation that is the end of this relation
+                        "end_entity_cui": "<string>" # the cui label of the end of this relation
+                        "end_entity_value": <string>  # value of the end annotation for this relation
+                        "end_entity_start_idx": <integer>  # end index of text span of end of relation
+                        "end_entity_end_idx": <integer>  # end index of text span of end of relation
+                        "user": <string>  # username of annotator for relation (optional)
+                        "relation": <string>  # label for this relation
+                        "validated": <boolean>  # if the annotation has been validated by a human annotator, default true.
+                    }
+                    ... < more relations of the samve above structure>
+                ]
+
+                ... <more documents of the same above structure>
+            ]
+    ]
+    }
+
+    Args:
+        projects (QuerySet): the projects to export data for.
+    """
+    all_projects = {'projects': []}
+    for project in projects:
+        out = {}
+        out['name'] = project.name
+        out['id'] = project.id
+        out['cuis'] = project.cuis
+        out['project_group_id'] = project.group.id if project.group else None
+        out['project_group_name'] = project.group.name if project.group else None
+        out['project_status'] = project.project_status
+        out['project_locked'] = project.project_locked
+        out['meta_anno_defs'] = [{'name': t.name, 'values': [v.name for v in t.values.all()]}
+                                 for t in project.tasks.all()]
+        out['relation_anno_defs'] = [r.label for r in project.relations.all()]
+        out['documents'] = []
+
+        if project.cuis_file is not None and project.cuis_file:
+            # Add cuis from json file if it exists
+            cuis_from_file = ",".join(json.load(open(project.cuis_file.path)))
+            all_cuis = out['cuis'] + "," + cuis_from_file if len(out['cuis']) > 0 else cuis_from_file
+            out['cuis'] = all_cuis
+
+        for doc in project.validated_documents.all():
+            out_doc = {}
+            out_doc['id'] = doc.id
+            out_doc['name'] = doc.name
+            out_doc['text'] = doc.text
+            out_doc['last_modified'] = doc.last_modified.strftime(_dt_fmt)
+            out_doc['annotations'] = []
+
+            anns = AnnotatedEntity.objects.filter(project=project, document=doc)
+
+            for ann in anns:
+                out_ann = {}
+                out_ann['id'] = ann.id
+                out_ann['user'] = ann.user.username
+                out_ann['cui'] = ann.entity.label
+                out_ann['value'] = ann.value
+                out_ann['start'] = ann.start_ind
+                out_ann['end'] = ann.end_ind
+                out_ann['validated'] = ann.validated
+                out_ann['correct'] = ann.correct
+                out_ann['deleted'] = ann.deleted
+                out_ann['alternative'] = ann.alternative
+                out_ann['killed'] = ann.killed
+                out_ann['irrelevant'] = ann.irrelevant
+                out_ann['create_time'] = ann.create_time.strftime(_dt_fmt)
+                out_ann['last_modified'] = ann.last_modified.strftime(_dt_fmt)
+                out_ann['comment'] = ann.comment
+                out_ann['manually_created'] = ann.manually_created
+                out_ann['acc'] = ann.acc
+                out_ann['meta_anns'] = {}
+
+                # Get MetaAnnotations
+                meta_anns = MetaAnnotation.objects.filter(annotated_entity=ann)
+                for meta_ann in meta_anns:
+                    o_meta_ann = {}
+                    o_meta_ann['name'] = meta_ann.meta_task.name
+                    o_meta_ann['value'] = meta_ann.meta_task_value.name
+                    o_meta_ann['acc'] = meta_ann.acc
+                    o_meta_ann['validated'] = meta_ann.validated
+
+                    # Add annotation
+                    key = meta_ann.meta_task.name
+                    out_ann['meta_anns'][key] = o_meta_ann
+
+                out_doc['annotations'].append(out_ann)
+
+            # Add relations if they exist
+            rels = EntityRelation.objects.filter(project=project, document=doc)
+            out_rels = []
+            out_rel = {}
+            for rel in rels:
+                out_rel['start_entity'] = rel.start_entity.id
+                out_rel['start_entity_cui'] = rel.start_entity.entity.label
+                out_rel['start_entity_value'] = rel.start_entity.value
+                out_rel['start_entity_start_idx'] = rel.start_entity.start_ind
+                out_rel['start_entity_end_idx'] = rel.start_entity.end_ind
+                out_rel['end_entity'] = rel.end_entity.id
+                out_rel['end_entity_cui'] = rel.end_entity.entity.label
+                out_rel['end_entity_value'] = rel.end_entity.value
+                out_rel['end_entity_start_idx'] = rel.end_entity.start_ind
+                out_rel['end_entity_end_idx'] = rel.end_entity.end_ind
+                out_rel['user'] = rel.user.username
+                out_rel['relation'] = rel.relation.label
+                out_rel['validated'] = rel.validated
+
+                out_rels.append(out_rel)
+                out_rel = {}
+            out_doc['relations'] = out_rels
+
+            out['documents'].append(out_doc)
+        all_projects['projects'].append(out)
+    return all_projects
+
+
+def clone_projects(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    for project in projects:
+        project_copy = copy.copy(project)
+        project_copy.id = None
+        project_copy.pk = None
+        project_copy.name = f'{project.name} (Clone)'
+        project_copy.save()
+
+        # Add M2M fields
+        for m in project.members.all():
+            project_copy.members.add(m)
+        for c in project.cdb_search_filter.all():
+            project_copy.cdb_search_filter.add(c)
+        for t in project.tasks.all():
+            project_copy.tasks.add(t)
+
+        project_copy.save()
+
+
+def dataset_document_counts(dataset):
+    return f'{Document.objects.filter(dataset=dataset).count()}'
+
+
+@background(schedule=5)
+def _reset_cdb_filters(id):
+    concept_db = ConceptDB.objects.get(id=id)
+    cdb = CDB.load(concept_db.cdb_file.path)
+    clear_cdb_cnf_addons(cdb, id)
+    cdb.config.components.linking.filters = {'cuis': set()}
+    cdb.save(concept_db.cdb_file.path)
+
+
+@background(schedule=5)
+def import_concepts_from_cdb(cdb_model_id: int):
+    cdb_model = ConceptDB.objects.get(id=cdb_model_id)
+    cdb = CDB.load(cdb_model.cdb_file.path)
+    clear_cdb_cnf_addons(cdb, cdb_model_id)
+    import_all_concepts(cdb, cdb_model)
+
+
+def reset_cdb_filters(modeladmin, request, queryset):
+    for concept_db in queryset:
+        _reset_cdb_filters(concept_db.id)
+
+
+def import_concepts(modeladmin, request, queryset):
+    for concept_db in queryset:
+        logger.info(f'Importing concepts for collection {concept_db.name}_id_{concept_db.id}')
+        import_concepts_from_cdb(concept_db.id)
+
+
+def delete_indexed_concepts(modeladmin, request, queryset):
+    for concept_db in queryset:
+        drop_collection(concept_db)
+
+
+def remove_all_documents(modeladmin, request, queryset):
+    Document.objects.all().delete()
diff --git a/medcat-trainer/webapp/api/api/admin/models.py b/medcat-trainer/webapp/api/api/admin/models.py
new file mode 100644
index 000000000..5d44a5a09
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/admin/models.py
@@ -0,0 +1,214 @@
+from django.contrib import admin
+from django.contrib.auth.models import User
+from django.forms import fields
+from django.http import HttpResponseRedirect
+from django.shortcuts import get_object_or_404
+
+from .actions import *
+from ..models import *
+
+_PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER = (
+    'concept_db', 'vocab', 'model_pack', 'cdb_search_filter', 'deid_model_annotation', 'require_entity_validation', 'train_model_on_submit',
+    'add_new_entities', 'restrict_concept_lookup', 'terminate_available', 'irrelevant_available',
+    'enable_entity_annotation_comments', 'tasks', 'relations'
+)
+
+_PROJECT_FIELDS_ORDER = (
+    'cuis', 'cuis_file', 'annotation_classification', 'project_locked', 'project_status'
+)
+
+
+class ReportErrorModelAdminMixin:
+    """Mixin to catch all errors in the Django Admin and map them to user-visible errors."""
+    def changeform_view(self, request, object_id=None, form_url='', extra_context=None):
+        try:
+            return super().changeform_view(request, object_id, form_url, extra_context)
+        except Exception as e:
+            self.message_user(request, f'Error with previous action: {e}', level=logging.ERROR)
+            return HttpResponseRedirect(request.path)
+
+
+
+dataset_document_counts.short_description = 'Document Count'
+
+
+class DatasetAdmin(ReportErrorModelAdminMixin, admin.ModelAdmin):
+    model = Dataset
+    form = DatasetForm
+    list_display = ['name', 'create_time', 'description', dataset_document_counts]
+
+
+class ProjectAnnotateEntitiesAdmin(admin.ModelAdmin):
+    model = ProjectAnnotateEntities
+    actions = [download, download_without_text, download_without_text_with_doc_names, reset_project, clone_projects]
+    list_filter = ('members', 'project_status', 'project_locked', 'annotation_classification')
+    list_display = ['name']
+    fields = (('group', 'name', 'description', 'annotation_guideline_link', 'members',
+               'dataset', 'validated_documents', 'prepared_documents') +
+              _PROJECT_FIELDS_ORDER +
+              _PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER)
+
+    def formfield_for_foreignkey(self, db_field, request, **kwargs):
+        if db_field.name == 'concept_db':
+            kwargs['queryset'] = ConceptDB.objects.filter(use_for_training=True)
+        return super(ProjectAnnotateEntitiesAdmin, self).formfield_for_foreignkey(db_field, request, **kwargs)
+
+    def formfield_for_manytomany(self, db_field, request, **kwargs):
+        if db_field.name == 'cdb_search_filter':
+            kwargs['queryset'] = ConceptDB.objects.all()
+        if db_field.name in ('validated_documents', 'prepared_documents'):
+            project_id = request.path.replace('/admin/api/projectannotateentities/', '').split('/')[0]
+            try:
+                proj = ProjectAnnotateEntities.objects.get(id=int(project_id))
+                kwargs['queryset'] = Document.objects.filter(dataset=proj.dataset.id)
+            except ValueError:  # a blank project has no validated_documents
+                kwargs['queryset'] = Document.objects.none()
+        return super(ProjectAnnotateEntitiesAdmin, self).formfield_for_manytomany(db_field, request, **kwargs)
+
+
+class ProjectGroupAdmin(admin.ModelAdmin):
+    model = ProjectGroup
+    list_display = ('name', 'description')
+    fields = (('name', 'description', 'create_associated_projects', 'annotation_guideline_link', 'administrators',
+               'annotators', 'dataset') +
+              _PROJECT_FIELDS_ORDER + _PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER)
+
+    class Meta:
+        model = ProjectGroup
+
+    def get_form(self, request, obj=None, change=False, **kwargs):
+        form = super().get_form(request, obj, **kwargs)
+        return form
+
+    def _set_proj_from_group(self, proj: ProjectAnnotateEntities, group: ProjectGroup,
+                             annotator: settings.AUTH_USER_MODEL, admins: List[User],
+                             cdb_search_filters: List[ConceptDB], tasks: List[MetaTask], relations: List[Relation]):
+        proj.group = group
+        proj.name = f'{group.name} - {str(annotator)}'
+        proj.description = group.description
+        proj.dataset = group.dataset
+        proj.annotation_guideline_link = group.annotation_guideline_link
+        proj.create_time = group.create_time
+        proj.cuis = group.cuis
+        proj.cuis_file = group.cuis_file
+        proj.annotation_classification = group.annotation_classification
+        proj.project_locked = group.project_locked
+        proj.project_status = group.project_status
+        proj.concept_db = group.concept_db
+        proj.vocab = group.vocab
+        proj.require_entity_validation = group.require_entity_validation
+        proj.train_model_on_submit = group.train_model_on_submit
+        proj.add_new_entities = group.add_new_entities
+        proj.restrict_concept_lookup = group.restrict_concept_lookup
+        proj.terminate_available = group.terminate_available
+        proj.irrelevant_available = group.irrelevant_available
+        proj.enable_entity_annotation_comments = group.enable_entity_annotation_comments
+
+        # project specific attrs / m2m fields
+        proj.save()
+        proj.cdb_search_filter.set(cdb_search_filters)
+        proj.members.set(admins)
+        proj.members.add(annotator)
+        proj.tasks.set(tasks)
+        proj.relations.set(relations)
+        proj.save()
+        return proj
+
+    def save_model(self, request, obj, form, change):
+        super().save_model(request, obj, form, change)
+        annotators = [get_object_or_404(User, pk=id) for id in request.POST.getlist('annotators')]
+        admins = [get_object_or_404(User, pk=id) for id in request.POST.getlist('administrators')]
+        cdb_search_filters = [get_object_or_404(ConceptDB, pk=id) for id in request.POST.getlist('cdb_search_filter')]
+        tasks = [get_object_or_404(MetaTask, pk=id) for id in request.POST.getlist('tasks')]
+        relations = [get_object_or_404(Relation, pk=id) for id in request.POST.getlist('relations')]
+
+        # create the underlying ProjectAnnotateEntities models or edit them
+        if obj.create_associated_projects:
+            if not change:
+                # new ProjectGroup being created
+                for annotator in annotators:
+                    self._set_proj_from_group(ProjectAnnotateEntities(), obj, annotator,
+                                              admins, cdb_search_filters, tasks, relations)
+            else:
+                # applying these settings to all previously created projects within this group
+                projs = ProjectAnnotateEntities.objects.filter(group=obj)
+                if len(projs) == len(obj.annotators.all()):
+                    for proj, annotator in zip(projs, obj.annotators.all()):
+                       self._set_proj_from_group(proj, obj, annotator, admins, cdb_search_filters,
+                                                 tasks, relations)
+                else:
+                    raise ValueError("Attempting to update a ProjectGroup but one or more "
+                                     "of underlying ProjectAnnotateEntities have been removed / or added "
+                                     "manually. To fix, go into each project separately, or create new projects "
+                                     "and link to the ProjectGroup within ProjectAnnotateEntities page.")
+
+
+class AnnotatedEntityAdmin(admin.ModelAdmin):
+    list_display = ('user', 'project', 'entity', 'value', 'deleted', 'validated')
+    list_filter = ('user', 'project', 'deleted', 'validated')
+    model = AnnotatedEntity
+
+
+class ConceptDBAdmin(admin.ModelAdmin):
+    model = ConceptDB
+    actions = [import_concepts, delete_indexed_concepts, reset_cdb_filters]
+    list_display = ('name', 'use_for_training', 'create_time', 'last_modified', 'last_modified_by')
+    fields = ('name', 'cdb_file', 'use_for_training')
+
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class VocabularyAdmin(admin.ModelAdmin):
+    model = Vocabulary
+    list_display = ('name', 'create_time', 'last_modified', 'last_modified_by')
+    fields = ('name', 'vocab_file', 'create_time', 'last_modified', 'last_modified_by')
+
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class ModelPackAdmin(admin.ModelAdmin):
+    model = ModelPack
+    list_display = ('name', 'model_pack', 'concept_db', 'vocab', 'metacats')
+    fields = ['name', 'model_pack']
+
+    def metacats(self, obj):
+        return ", ".join(str(m_c) for m_c in obj.meta_cats.all())
+    
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class MetaCATModelAdmin(admin.ModelAdmin):
+    model = MetaCATModel
+    list_display = ('name', 'meta_cat_dir')
+
+
+class MetaAnnotationAdmin(admin.ModelAdmin):
+    model = MetaAnnotation
+    list_display = ('annotated_entity', 'meta_task', 'meta_task_value', 'acc',
+                    'predicted_meta_task_value', 'validated', 'last_modified')
+    list_filter = ('meta_task', 'meta_task_value', 'predicted_meta_task_value', 'validated')
+
+
+class DocumentAdmin(admin.ModelAdmin):
+    model = Document
+    actions = [remove_all_documents]
+    list_filter = ('dataset',)
+    list_display = ['name', 'create_time', 'dataset', 'last_modified']
+
+
+class ExportedProjectAdmin(admin.ModelAdmin):
+    model = ExportedProject
+
+
+class ProjectMetricsAdmin(admin.ModelAdmin):
+    model = ProjectMetrics
+    list_display = ('report_name', 'report_name_generated')
+    list_filter = ['projects']
+
+
diff --git a/medcat-trainer/webapp/api/api/apps.py b/medcat-trainer/webapp/api/api/apps.py
new file mode 100644
index 000000000..099b97501
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/apps.py
@@ -0,0 +1,35 @@
+import logging
+import os
+
+from django.apps import AppConfig
+
+logger = logging.getLogger(__name__)
+
+
+class ApiConfig(AppConfig):
+    name = 'api'
+
+    def ready(self):
+        from api.views import _submit_document
+        from api.models import ProjectAnnotateEntities
+        from . import signals
+        resubmit_all = os.environ.get('RESUBMIT_ALL_ON_STARTUP', None)
+        if resubmit_all is not None and resubmit_all.lower() in ('1', 'y', 'true'):
+            logger.info('Found env var RESUBMIT_ALL_ON_STARTUP is True. '
+                        'Attempting to resubmit all currently submitted state documents')
+
+            projects = ProjectAnnotateEntities.objects.all()
+            for project in projects:
+                if project.project_status == 'A':
+                    logger.info('Found project %s - in annotating state - resubmitting all validated documents...',
+                                project.name)
+                    validated_docs = project.validated_documents.all()
+                    if len(validated_docs):
+                        for doc in validated_docs:
+                            try:
+                                _submit_document(project, doc)
+                                logger.info("Submitted doc: %s", doc.name)
+                            except Exception as e:
+                                logger.error("Failed to re-submit doc on startup with exception %s", e)
+                    logger.info("Finished resubmitting Project %s", project.name)
+        logger.info("MedCATTrainer App API ready...")
diff --git a/medcat-trainer/webapp/api/api/data_utils.py b/medcat-trainer/webapp/api/api/data_utils.py
new file mode 100644
index 000000000..9ecde91ee
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/data_utils.py
@@ -0,0 +1,240 @@
+import json
+import logging
+import re
+from collections import defaultdict
+from datetime import datetime
+from typing import Dict, List
+
+from django.contrib.auth.models import User
+from django.db import transaction
+from django.db.models import Q
+
+from core.settings import MEDIA_ROOT
+from .models import *
+from .utils import env_str_to_bool
+
+_MAX_DATASET_SIZE_DEFAULT = 10000
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+logger = logging.getLogger(__name__)
+
+
+def dataset_from_file(dataset: Dataset):
+    if '.csv' in dataset.original_file.path:
+        df = pd.read_csv(dataset.original_file.path, on_bad_lines='error')
+    elif '.xlsx' in dataset.original_file.path:
+        df = pd.read_excel(dataset.original_file.path)
+    else:
+        raise Exception("Please make sure the file is either a .csv or .xlsx format")
+
+    df.columns = [c.lower() for c in df.columns]
+    max_dataset_size = int(os.environ.get('MAX_DATASET_SIZE', _MAX_DATASET_SIZE_DEFAULT))
+
+    if df['name'].nunique() != df.shape[0] and env_str_to_bool('UNIQUE_DOC_NAMES_IN_DATASETS', True):
+        raise Exception('name column entries must be unique')
+
+    if df.shape[0] > int(max_dataset_size):
+        raise Exception(f'Attempting to upload a dataset with {df.shape[0]} rows. The Max dataset size is set to'
+                        f' {max_dataset_size}, please reduce the number of rows or contact the MedCATTrainer'
+                        f' administrator to increase the env var value:MAX_DATASET_SIZE')
+
+    if 'text' not in df.columns or 'name' not in df.columns:
+        raise Exception("Please make sure the uploaded file has a column with two columns:'name', 'text'. "
+                        "The 'name' column are document IDs, and the 'text' column is the text you're "
+                        "collecting annotations for")
+
+    with transaction.atomic():
+        for i, row in enumerate(df.iterrows()):
+            row = row[1]
+            document = Document()
+            document.name = row['name']
+            document.text = sanitise_input(row['text'])
+            document.dataset = dataset
+            document.save()
+
+
+def sanitise_input(text: str):
+    tags = [('<br>', '\n'), ('</?p>', '\n'), ('<span(?:.*?)?>', ''),
+            ('</span>', ''), ('<div (?:.*?)?>', '\n'), ('</div>', '\n'),
+            ('</?html>', ''), ('</?body>', ''), ('</?head>', '')]
+    for tag, repl in tags:
+        text = re.sub(tag, repl, text)
+    return text
+
+
+def delete_orphan_docs(dataset: Dataset):
+    Document.objects.filter(dataset__id=dataset.id).delete()
+
+
+def upload_projects_export(
+    medcat_export: Dict,
+    cdb_id: str,
+    vocab_id: str,
+    modelpack_id: str,
+    project_name_suffix: str = ' IMPORTED',
+    cdb_search_filter_id: str = None,
+    members: List[str] = None,
+    import_project_name_suffix: str = ' IMPORTED',
+    set_validated_docs: bool = False
+):
+    for proj in medcat_export['projects']:
+        if len(proj['documents']) == 0:
+            # don't add projects with no documents
+            continue
+        p = ProjectAnnotateEntities()
+        p.name = f"{proj['name']}{project_name_suffix}"
+        if len(proj['cuis']) > 1000:
+            # store large CUI lists in a json file.
+            cuis_file_name = MEDIA_ROOT + '/' + re.sub('/|\.', '_', p.name + '_cuis_file') + '.json'
+            json.dump(proj["cuis"].split(','), open(cuis_file_name, 'w'))
+            p.cuis = ""
+            p.cuis_file.name = cuis_file_name
+        else:
+            p.cuis = proj['cuis']
+
+        if cdb_id is not None and vocab_id is not None:
+            p.concept_db = ConceptDB.objects.get(id=cdb_id)
+            p.vocab = Vocabulary.objects.get(id=vocab_id)
+        elif modelpack_id is not None:
+            p.model_pack = ModelPack.objects.get(id=modelpack_id)
+        else:
+            raise InvalidParameterError("No cdb, vocab, or modelpack provided")
+
+        # ensure current deployment has the neccessary - Entity, MetaTak, Relation, and warn on not present User objects.
+        ent_labels, meta_tasks, rels, unavailable_users, available_users = set(), defaultdict(set), set(), set(), dict()
+        for doc in proj['documents']:
+            for anno in doc['annotations']:
+                ent_labels.add(anno['cui'])
+                for meta_anno in anno['meta_anns'].values():
+                    meta_tasks[meta_anno['name']].add(meta_anno['value'])
+                user_obj = User.objects.filter(username=anno['user']).first()
+                if user_obj is None:
+                    unavailable_users.add(anno['user'])
+                elif anno['user'] not in available_users:
+                    available_users[anno['user']] = user_obj
+            for rel in doc.get('relations', []):
+                rels.add(rel['relation'])
+        # escape - filename
+        ds_file_name = MEDIA_ROOT + '/' + re.sub('/|\.', '_', p.name + '_dataset') + '.csv'
+        names = [doc['name'] for doc in proj['documents']]
+        if len(set(names)) != len(names):  # ensure names are unique for docs
+            names = [f'{i} - {names[i]}' for i in range(len(names))]
+        pd.DataFrame({'name': names,
+                      'text': [doc['text'] for doc in proj['documents']]}).to_csv(ds_file_name)
+        ds_mod = Dataset()
+        ds_mod.name = p.name + '_dataset'
+        ds_mod.original_file.name = ds_file_name
+        ds_mod.save()
+        p.dataset = ds_mod
+        p.save()
+
+        if cdb_search_filter_id is not None:
+            p.cdb_search_filter.set([ConceptDB.objects.get(id=cdb_search_filter_id)])
+
+        if members is not None:
+            p.members.set(members)
+
+        # create django ORM model instances that are referenced in the upload if they don't exist.
+        for u in unavailable_users:
+            logger.warning(f'Username: {u} - not present in this trainer deployment.')
+        for ent_lab in ent_labels:
+            ent = Entity.objects.filter(label=ent_lab).first()
+            if ent is None:
+                ent = Entity()
+                ent.label = ent_lab
+                ent.save()
+        for task in meta_tasks:
+            if MetaTask.objects.filter(name=task).first() is None:
+                m_task = MetaTask()
+                m_task.name = task
+                m_task.save()
+                # create the MetaTask Values.
+            for task_val in meta_tasks[task]:
+                if MetaTaskValue.objects.filter(name=task_val).first() is None:
+                    mt_value = MetaTaskValue()
+                    mt_value.name = task_val
+                    mt_value.save()
+            m_task = MetaTask.objects.filter(name=task).first()
+            curr_vals = m_task.values.all()
+            task_vals = [MetaTaskValue.objects.filter(name=m_t).first() for m_t in meta_tasks[task]]
+            m_task.values.set(set(list(curr_vals) + task_vals))
+
+        for rel in rels:
+            if Relation.objects.filter(label=rel).first() is None:
+                r = Relation()
+                r.label = rel
+                r.save()
+
+        if set_validated_docs:
+            p.validated_documents.set(list(Document.objects.filter(dataset=ds_mod)))
+        else:
+            p.validated_documents.clear()
+
+
+        for doc in proj['documents']:
+            doc_mod = Document.objects.filter(Q(dataset=ds_mod) & Q(text=doc['text'])).first()
+            annos = []
+            for anno in doc['annotations']:
+                a = AnnotatedEntity()
+                a.user = available_users[anno['user']]
+                a.project = p
+                a.document = doc_mod
+                e = Entity.objects.get(label=anno['cui'])
+                a.entity = e
+                a.value = anno['value']
+                a.start_ind = anno['start']
+                a.end_ind = anno['end']
+                a.validated = anno['validated']
+                a.correct = anno['correct']
+                a.deleted = anno['deleted']
+                a.alternative = anno['alternative']
+                a.killed = anno['killed']
+                a.irrelevant = anno.get('irrelevant', False)  # Added later - so False by default for compatibility
+                if anno.get('last_modified') is not None:
+                    try:
+                        a.last_modified = datetime.strptime(anno['last_modified'], _dt_fmt)
+                    except ValueError:
+                        a.last_modified = datetime.now()
+                if anno.get('create_time') is not None:
+                    try:
+                        a.create_time = datetime.strptime(anno['create_time'], _dt_fmt)
+                    except ValueError:
+                        a.create_time = datetime.now()
+                a.comment = anno.get('comment')
+                a.manually_created = anno['manually_created']
+
+                a.acc = anno['acc']
+                a.save()
+                annos.append(a)
+                for task_name, meta_anno in anno['meta_anns'].items():
+                    m_a = MetaAnnotation()
+                    m_a.annotated_entity = a
+                    # there will be at least one or more of these available.
+                    m_a = MetaTask.objects.filter(name=task_name).first()
+                    m_a.validated = meta_anno['validated']
+                    m_a.save()
+                    # missing acc on the model
+            anno_to_doc_ind = {a.start_ind: a for a in annos}
+
+            for relation in doc.get('relations', []):
+                er = EntityRelation()
+                er.user = available_users[relation['user']]
+                er.project = p
+                er.document = doc_mod
+                # there will be at least one or more of these available.
+                er.relation = Relation.objects.filter(label=relation['relation']).first()
+                er.validated = er.validated
+                # link relations with start and end anno ents
+                er.start_entity = anno_to_doc_ind[relation['start_entity_start_idx']]
+                er.end_entity = anno_to_doc_ind[relation['end_entity_start_idx']]
+                if relation.get('create_time') is not None:
+                    er.create_time = datetime.strptime(relation['create_time'], _dt_fmt)
+                else:
+                    er.create_time = datetime.now()
+                if relation.get('last_modified_time') is not None:
+                    er.last_modified = datetime.strptime(relation['last_modified_time'], _dt_fmt)
+                else:
+                    er.last_modified = datetime.now()
+                er.save()
+        logger.info(f"Finished annotation import for project {proj['name']}")
+    logger.info('Finished importing all projects')
diff --git a/medcat-trainer/webapp/api/api/fixtures/text_class_values.json b/medcat-trainer/webapp/api/api/fixtures/text_class_values.json
new file mode 100644
index 000000000..deacfae2d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/fixtures/text_class_values.json
@@ -0,0 +1,23 @@
+[
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 1,
+    "fields": {
+      "name": "true"
+    }
+  },
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 2,
+    "fields": {
+      "name": "false"
+    }
+  },
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 3,
+    "fields": {
+      "name": "skip"
+    }
+  }
+]
diff --git a/medcat-trainer/webapp/api/api/metrics.py b/medcat-trainer/webapp/api/api/metrics.py
new file mode 100644
index 000000000..1cdfaf93d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/metrics.py
@@ -0,0 +1,453 @@
+import json
+import logging
+import math
+import os
+import warnings
+from collections import Counter
+from typing import List, Dict
+from background_task import background
+
+import numpy as np
+import pandas as pd
+import torch
+from background_task.models import Task
+from django.contrib.auth.models import User
+from django.db.models import QuerySet
+from medcat.stats.stats import get_stats
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.config.config_meta_cat import ConfigMetaCAT
+from medcat.components.addons.meta_cat.meta_cat import MetaCATAddon
+from medcat.components.addons.meta_cat.mctokenizers.tokenizers import TokenizerWrapperBase
+from medcat.components.addons.meta_cat.data_utils import prepare_from_json, encode_category_values
+from medcat.components.addons.meta_cat.ml_utils import create_batch_piped_data
+from medcat.vocab import Vocab
+from torch import nn
+
+from api.admin import retrieve_project_data
+from api.models import AnnotatedEntity, ProjectAnnotateEntities, ProjectMetrics as AppProjectMetrics
+from api.utils import clear_cdb_cnf_addons
+from core.settings import MEDIA_ROOT
+
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+logger = logging.getLogger(__name__)
+
+
+@background(schedule=1, queue='metrics')
+def calculate_metrics(project_ids: List[int], report_name: str):
+    """
+    Computes metrics in a background task
+    :param projects: list of projects to compute metrics for.
+        Uses the 'first' for the CDB / vocab or ModelPack,
+        but should be the same CDB, but will still try and compute metrics regardless.
+    :return: computed metrics results
+    """
+    logger.info('Calculating metrics for report: %s', report_name)
+    projects = [ProjectAnnotateEntities.objects.filter(id=p_id).first() for p_id in project_ids]
+    loaded_model_pack = False
+    if projects[0].model_pack:
+        # assume the model pack is set.
+        cat = CAT.load_model_pack(projects[0].model_pack.model_pack.path)
+        loaded_model_pack = True
+    else:
+        # assume the cdb / vocab is set in these projects
+        cdb = CDB.load(projects[0].concept_db.cdb_file.path)
+        clear_cdb_cnf_addons(cdb, projects[0].concept_db.name)
+        vocab = Vocab.load(projects[0].vocab.vocab_file.path)
+        cat = CAT(cdb, vocab, config=cdb.config)
+    project_data = retrieve_project_data(projects)
+    metrics = ProjectMetrics(project_data, cat)
+    report = metrics.generate_report(meta_ann=loaded_model_pack)
+    report_file_path = f'{MEDIA_ROOT}/{report_name}.json'
+    json.dump(report, open(report_file_path, 'w'))
+    apm = AppProjectMetrics()
+    apm.report_name_generated = report_name
+    apm.report.name = report_file_path
+    apm.save()
+    apm.projects.set(projects)
+    logger.info('Finished calculating metrics for report: %s, saved results in ProjectMetrics(id=%s)',
+                report_name, apm.id)
+
+
+class ProjectMetrics(object):
+    """
+    Class to analyse MedCATtrainer exports
+    """
+
+    def __init__(self, mct_export_data: dict, cat: CAT):
+        """
+        :param mct_export_paths: List of paths to MedCATtrainer exports
+        """
+        self.mct_export = mct_export_data
+        self.cat = cat
+        self.projects2names = {}
+        self.projects2doc_ids = {}
+        self.docs2names = {}
+        self.docs2texts = {}
+        self.meta_task_summary = {}
+        self.annotations = self._annotations()
+
+    def _annotations(self):
+        ann_lst = []
+        for proj in self.mct_export['projects']:
+            self.projects2names[proj['id']] = proj['name']
+            self.projects2doc_ids[proj['id']] = [doc['id'] for doc in proj['documents']]
+            for doc in proj['documents']:
+                self.docs2names[doc['id']] = doc['name']
+                self.docs2texts[doc['id']] = doc['text']
+                for anns in doc['annotations']:
+                    meta_anns_dict = dict()
+                    for meta_ann in anns['meta_anns'].items():
+                        meta_anns_dict.update({meta_ann[0]: meta_ann[1]['value']})
+                    _anns = anns.copy()
+                    _anns.pop('meta_anns')
+                    output = dict()
+                    output['project'] = proj['name']
+                    output['project_id'] = proj['id']
+                    output['document_name'] = doc['name']
+                    output['document_id'] = doc['id']
+                    output.update(_anns)
+                    output.update(meta_anns_dict)
+                    ann_lst.append(output)
+        return ann_lst
+
+    def annotation_df(self):
+        """
+        DataFrame of all annotations created
+        :return: DataFrame
+        """
+        annotation_df = pd.DataFrame(self.annotations)
+        if self.cat:
+            annotation_df.insert(5, 'concept_name', annotation_df['cui'].map(self.cat.cdb.get_name))
+        annotation_df['last_modified'] = pd.to_datetime(annotation_df['last_modified']).dt.tz_localize(None)
+        return annotation_df
+
+    def concept_summary(self, extra_cui_filter=None):
+        """
+        Summary of only correctly annotated concepts from a mct export
+        :return: DataFrame summary of annotations.
+        """
+        concept_output = self.annotation_df()
+        concept_output = concept_output[concept_output['validated'] & ((concept_output['correct']) | (concept_output['alternative']))]
+        if self.cat:
+            concept_count = concept_output.groupby(['cui', 'concept_name']).agg({'value': set, 'id': 'count'})
+        else:
+            concept_count = concept_output.groupby(['cui']).agg({'value': set, 'id': 'count'})
+        concept_count_df = pd.DataFrame(concept_count).reset_index(drop=False)
+        concept_count_df['variations'] = concept_count_df['value'].apply(lambda x: len(x))
+        concept_count_df.rename({'id': 'concept_count'}, axis=1, inplace=True)
+        concept_count_df = concept_count_df.sort_values(by='concept_count', ascending=False).reset_index(drop=True)
+        concept_count_df['count_variations_ratio'] = round(concept_count_df['concept_count'] /
+                                                           concept_count_df['variations'], 3)
+        if self.cat:
+            fps, fns, tps, cui_prec, cui_rec, cui_f1, cui_counts, examples = get_stats(self.cat,
+                                                                                       data=self.mct_export,
+                                                                                       use_project_filters=True,
+                                                                                       extra_cui_filter=extra_cui_filter)
+            # remap tps, fns, fps to specific user annotations
+            examples = self.enrich_medcat_metrics(examples)
+            concept_count_df['fps'] = concept_count_df['cui'].map(fps)
+            concept_count_df['fns'] = concept_count_df['cui'].map(fns)
+            concept_count_df['tps'] = concept_count_df['cui'].map(tps)
+            concept_count_df['cui_prec'] = concept_count_df['cui'].map(cui_prec)
+            concept_count_df['cui_rec'] = concept_count_df['cui'].map(cui_rec)
+            concept_count_df['cui_f1'] = concept_count_df['cui'].map(cui_f1)
+            #concept_count_df['cui_counts'] = concept_count_df['cui'].map(cui_counts) # TODO check why cui counts is incorrect
+            examples_df = pd.DataFrame(examples).rename_axis('cui').reset_index(drop=False). \
+                rename(columns={'fp': 'fp_examples',
+                                'fn': 'fn_examples',
+                                'tp': 'tp_examples'})
+            concept_count_df = concept_count_df.merge(examples_df, how='left', on='cui').fillna(0)
+
+            # Process examples to ensure underscores are preserved
+            for col in ['fp_examples', 'fn_examples', 'tp_examples']:
+                if col in concept_count_df.columns:
+                    concept_count_df[col] = concept_count_df[col].apply(lambda x: x if isinstance(x, list) else [])
+
+        # brittle - probably shouldn't rely on cat._print_stats ...
+        concept_summary = concept_count_df.to_dict('records')
+        # convert sets to lists and ensure examples are properly formatted
+        concept_summary = [{k: list(v) if isinstance(v, set) else v for k, v in row.items()} for row in concept_summary]
+        return concept_summary
+
+    def enrich_medcat_metrics(self, examples):
+        """
+        Add the user prop to the medcat output metrics. Can potentially add more later for each of the categories
+        """
+        for tp in [i for e_i in examples['tp'].values() for i in e_i]:
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=tp['project id'], document_id=tp['document id'],
+                                                  start_ind=tp['start'], end_ind=tp['end'])
+                tp['user'] = ann.user.username
+            except:
+                tp['user'] = None
+        for fp in (i for e_i in examples['fp'].values() for i in e_i):
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=fp['project id'], document_id=fp['document id'],
+                                                  start_ind=fp['start'], end_ind=fp['end'])
+                fp['user'] = ann.user.username
+            except:
+                fp['user'] = None
+        for fn in (i for e_i in examples['fn'].values() for i in e_i):
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=fn['project id'], document_id=fn['document id'],
+                                                  start_ind=fn['start'], end_ind=fn['end'])
+                fn['user'] = ann.user.username
+            except:
+                fn['user'] = None
+        return examples
+
+    def user_stats(self, by_user: bool = True):
+        """
+        Summary of user annotation work done
+
+        :param by_user: User Stats grouped by user rather than day
+        :return: DataFrame of user annotation work done
+        """
+        df = self.annotation_df()[['user', 'last_modified']]
+        data = df.groupby([df['last_modified'].dt.year.rename('year'),
+                           df['last_modified'].dt.month.rename('month'),
+                           df['last_modified'].dt.day.rename('day'),
+                           df['user']]).agg({'count'})
+        data = pd.DataFrame(data)
+        data.columns = data.columns.droplevel()
+        data = data.reset_index(drop=False)
+        data['date'] = pd.to_datetime(data[['year', 'month', 'day']])
+        if by_user:
+            data = data[['user', 'count']].groupby(by='user').agg(sum)
+            data = data.reset_index(drop=False).sort_values(by='count', ascending=False).reset_index(drop=True)
+            return data
+        return data[['user', 'count', 'date']]
+
+    def rename_meta_anns(self, meta_anns2rename=dict(), meta_ann_values2rename=dict()):
+        """
+        TODO: the meta_ann_values2rename has issues
+        :param meta_anns2rename: Example input: `{'Subject/Experiencer': 'Subject'}`
+        :param meta_ann_values2rename: Example input: `{'Subject':{'Relative':'Other'}}`
+        :return:
+        """
+        for proj in self.mct_export['projects']:
+            for doc in proj['documents']:
+                for anns in doc['annotations']:
+                    if len(anns['meta_anns']) > 0:
+                        for meta_name2replace in meta_anns2rename:
+                            try:
+                                anns['meta_anns'][meta_anns2rename[meta_name2replace]] = anns['meta_anns'].pop(meta_name2replace)
+                                anns['meta_anns'][meta_anns2rename[meta_name2replace]]['name'] = meta_anns2rename[meta_name2replace]
+                                for meta_ann_name, meta_values in meta_ann_values2rename.items():
+                                    if anns['meta_anns'][meta_anns2rename[meta_name2replace]]['name'] == meta_ann_name:
+                                        for value in meta_values:
+                                            if anns['meta_anns'][meta_anns2rename[meta_name2replace]]['value'] == value:
+                                                anns['meta_anns'][meta_anns2rename[meta_name2replace]]['value'] = meta_ann_values2rename[meta_ann_name][value]
+                            except KeyError:
+                                pass
+        self.annotations = self._annotations()
+        return
+
+    def _eval_model(self, model: nn.Module, data: List, config: ConfigMetaCAT, tokenizer: TokenizerWrapperBase) -> Dict:
+        device = torch.device(config.general.device)  # Create a torch device
+        batch_size_eval = config.general.batch_size_eval
+        pad_id = config.model.padding_idx
+        ignore_cpos = config.model.ignore_cpos
+        class_weights = config.train.class_weights
+
+        if class_weights is not None:
+            class_weights = torch.FloatTensor(class_weights).to(device)
+            criterion = nn.CrossEntropyLoss(weight=class_weights)  # Set the criterion to Cross Entropy Loss
+        else:
+            criterion = nn.CrossEntropyLoss()  # Set the criterion to Cross Entropy Loss
+
+        y_eval = [x[2] for x in data]
+        num_batches = math.ceil(len(data) / batch_size_eval)
+        running_loss = []
+        all_logits = []
+        model.to(device)
+        model.eval()
+
+        with torch.no_grad():
+            for i in range(num_batches):
+                x, cpos, attention_mask, y = create_batch_piped_data(data,
+                                                     i*batch_size_eval,
+                                                     (i+1)*batch_size_eval,
+                                                     device=device,
+                                                     pad_id=pad_id)
+                logits = model(x, cpos, ignore_cpos=ignore_cpos)
+                loss = criterion(logits, y)
+
+                # Track loss and logits
+                running_loss.append(loss.item())
+                all_logits.append(logits.detach().cpu().numpy())
+
+        predictions = np.argmax(np.concatenate(all_logits, axis=0), axis=1)
+        return predictions
+
+    def _eval(self, metacat_model, mct_export):
+        # TODO: Should be moved into
+        g_config = metacat_model.config.general
+        t_config = metacat_model.config.train
+        t_config['test_size'] = 0
+        t_config['shuffle_data'] = False
+        t_config['prerequisites'] = {}
+        t_config['cui_filter'] = {}
+
+        # Prepare the data
+        assert metacat_model.tokenizer is not None
+        data = prepare_from_json(mct_export, g_config['cntx_left'], g_config['cntx_right'], metacat_model.tokenizer,
+                                 cui_filter=t_config['cui_filter'],
+                                 replace_center=g_config['replace_center'], prerequisites=t_config['prerequisites'],
+                                 lowercase=g_config['lowercase'])
+
+        # Check is the name there
+        category_name = g_config['category_name']
+        if category_name not in data:
+            warnings.warn(f"The meta_model {category_name} does not exist in this MedCATtrainer export.", UserWarning)
+            return {category_name: f"{category_name} does not exist"}
+
+        data = data[category_name]
+
+        # We already have everything, just get the data
+        category_value2id = g_config['category_value2id']
+        data, _, _ = encode_category_values(data, existing_category_value2id=category_value2id)
+        logger.info(_)
+        # Run evaluation
+        assert metacat_model.tokenizer is not None
+        result = self._eval_model(metacat_model.model, data, config=metacat_model.config, tokenizer=metacat_model.tokenizer)
+
+        return {'predictions': result, 'meta_values': _}
+
+    def full_annotation_df(self) -> pd.DataFrame:
+        """
+        DataFrame of all annotations created including meta_annotation predictions.
+        This function is similar to annotation_df with the addition of Meta_annotation predictions from the medcat model.
+        prerequisite Args: MedcatTrainer_export([mct_export_paths], model_pack_path=<path to medcat model>)
+        """
+        anns_df = self.annotation_df()
+        meta_df = anns_df[anns_df['validated'] & ~anns_df['deleted'] &
+                          ~anns_df['killed'] & ~anns_df['irrelevant']]
+        meta_df = meta_df.reset_index(drop=True)
+
+        all_meta_cats = self.cat.get_addons_of_type(MetaCATAddon)
+
+        for meta_model_card in self.cat.get_model_card(as_dict=True)['MetaCAT models']:
+            meta_model_task = meta_model_card['Category Name']
+            logger.info(f'Checking metacat model: {meta_model_task}')
+            _meta_models = [mc for mc in all_meta_cats
+                           if mc.config.general.category_name == meta_model_task]
+            if not _meta_models:
+                logger.warning(f'MetaCAT model {meta_model_task} not found in the CAT instance.')
+                continue
+            meta_model = _meta_models[0]
+            meta_results = self._eval(meta_model, self.mct_export)
+            meta_values = {v: k for k, v in meta_results['meta_values'].items()}
+            pred_meta_values = []
+            counter = 0
+            for meta_value in meta_df[meta_model_task]:
+                if pd.isnull(meta_value):
+                    pred_meta_values.append(np.nan)
+                else:
+                    pred_meta_values.append(meta_values.get(meta_results['predictions'][counter], np.nan))
+                    counter += 1
+            meta_df.insert(meta_df.columns.get_loc(meta_model_task) + 1, 'predict_' + meta_model_task, pred_meta_values)
+
+        return meta_df
+
+    def meta_anns_concept_summary(self) -> List[Dict]:
+        """Calculate performance metrics for meta annotations per concept.
+
+        Returns:
+            List[Dict]: List of dictionaries containing concept-level meta annotation metrics
+        """
+        meta_df = self.full_annotation_df()
+        meta_performance = {}
+
+        for cui in meta_df.cui.unique():
+            concept_df = meta_df[meta_df['cui'] == cui]
+            meta_task_results = {}
+
+            for meta_model_card in self.cat.get_model_card(as_dict=True)['MetaCAT models']:
+                meta_task = meta_model_card['Category Name']
+                meta_classes = meta_model_card['Classes'].keys()
+
+                # Calculate per-class metrics
+                class_metrics = {}
+                total_instances = 0
+
+                for meta_value in meta_classes:
+                    # Get predictions and ground truth for this class
+                    preds = concept_df['predict_' + meta_task] == meta_value
+                    truths = concept_df[meta_task] == meta_value
+
+                    # Calculate metrics
+                    tp = int((preds & truths).sum())
+                    fp = int((preds & ~truths).sum())
+                    fn = int((~preds & truths).sum())
+                    total = int(truths.sum())
+                    total_instances += total
+
+                    # Store metrics
+                    class_metrics[meta_value] = {
+                        'total': total,
+                        'f1': float(tp / (tp + 0.5 * (fp + fn)) if (tp + fp + fn) > 0 else 0),
+                        'prec': float(tp / (tp + fp) if (tp + fp) > 0 else 0),
+                        'rec': float(tp / (tp + fn) if (tp + fn) > 0 else 0)
+                    }
+
+                # Calculate macro averages (unweighted)
+                macro_metrics = {
+                    'f1': float(sum(m['f1'] for m in class_metrics.values()) / len(meta_classes)),
+                    'prec': float(sum(m['prec'] for m in class_metrics.values()) / len(meta_classes)),
+                    'rec': float(sum(m['rec'] for m in class_metrics.values()) / len(meta_classes))
+                }
+
+                # Calculate micro averages (weighted by class size)
+                if total_instances > 0:
+                    micro_metrics = {
+                        'f1': float(sum(m['f1'] * m['total'] for m in class_metrics.values()) / total_instances),
+                        'prec': float(sum(m['prec'] * m['total'] for m in class_metrics.values()) / total_instances),
+                        'rec': float(sum(m['rec'] * m['total'] for m in class_metrics.values()) / total_instances)
+                    }
+                else:
+                    micro_metrics = {'f1': 0.0, 'prec': 0.0, 'rec': 0.0}
+
+                # Store results for this meta task
+                meta_task_results[meta_task] = {
+                    'classes': class_metrics,
+                    'macro': macro_metrics,
+                    'micro': micro_metrics
+                }
+
+            # Store results for this concept
+            meta_performance[cui] = {
+                'cui': cui,
+                'concept_name': self.cat.cdb.cui2info[cui]['preferred_name'],
+                'meta_tasks': meta_task_results
+            }
+
+        return list(meta_performance.values())
+
+    def generate_report(self, meta_ann=False):
+        if meta_ann:
+            anno_df = self.full_annotation_df()
+        else:
+            anno_df = self.annotation_df()
+
+        anno_df['last_modified'] = anno_df['last_modified'].dt.strftime(_dt_fmt)
+        anno_df.fillna('-', inplace=True)
+
+        meta_anns_summary = None
+        if meta_ann:
+            meta_anns_summary = self.meta_anns_concept_summary()
+
+        # assumes all projects have the same meta_anno_defs - this would break further up if not the case.
+        meta_anno_task_summary = self.mct_export['projects'][0]['meta_anno_defs']
+
+        return {'user_stats': self.user_stats().to_dict('records'),
+                'concept_summary': self.concept_summary(),
+                'annotation_summary': anno_df.to_dict('records'),
+                'meta_anno_summary': meta_anns_summary,
+                'projects2doc_ids': self.projects2doc_ids,
+                'docs2text': self.docs2texts,
+                'projects2name': self.projects2names,
+                'docs2name': self.docs2names,
+                'meta_anns_task_summary': meta_anno_task_summary}
diff --git a/medcat-trainer/webapp/api/api/migrations/0001_initial.py b/medcat-trainer/webapp/api/api/migrations/0001_initial.py
new file mode 100644
index 000000000..2bf563018
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0001_initial.py
@@ -0,0 +1,198 @@
+# Generated by Django 2.2.3 on 2019-09-22 15:49
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+        ('contenttypes', '0002_remove_content_type_name'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='AnnotatedEntity',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('value', models.CharField(max_length=1000)),
+                ('start_ind', models.IntegerField()),
+                ('end_ind', models.IntegerField()),
+                ('acc', models.FloatField()),
+                ('correct', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=True)),
+                ('validated', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=False)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Concept',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('pretty_name', models.CharField(max_length=300)),
+                ('cui', models.CharField(max_length=100, unique=True)),
+                ('desc', models.TextField(blank=True, default='')),
+                ('tui', models.CharField(max_length=20)),
+                ('semantic_type', models.CharField(blank=True, max_length=200, null=True)),
+                ('vocab', models.CharField(max_length=100)),
+                ('synonyms', models.TextField(blank=True, default='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ConceptDB',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('cdb_file', models.FileField(upload_to='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Dataset',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('original_file', models.FileField(upload_to='')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('description', models.TextField(blank=True, default='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Document',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('text', models.TextField(blank=True, default='')),
+                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Entity',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('label', models.CharField(max_length=300, unique=True)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MetaTaskValue',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Project',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('description', models.TextField(blank=True, default='')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('cuis', models.TextField(blank=True, default=None)),
+                ('tuis', models.TextField(blank=True, default=None)),
+                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+                ('members', models.ManyToManyField(to=settings.AUTH_USER_MODEL)),
+                ('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_api.project_set+', to='contenttypes.ContentType')),
+                ('validated_documents', models.ManyToManyField(to='api.Document')),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+        ),
+        migrations.CreateModel(
+            name='Vocabulary',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('vocab_file', models.FileField(upload_to='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ProjectAnnotateEntities',
+            fields=[
+                ('project_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='api.Project')),
+                ('require_entity_validation', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=False)),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+            bases=('api.project',),
+        ),
+        migrations.CreateModel(
+            name='MetaTask',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('description', models.TextField(blank=True, default='')),
+                ('values', models.ManyToManyField(related_name='values', to='api.MetaTaskValue')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MetaAnnotation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('acc', models.FloatField()),
+                ('validated', models.BooleanField(choices=[(0, 'Not Validated'), (1, 'Validated')])),
+                ('annotated_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.AnnotatedEntity')),
+                ('meta_task', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.MetaTask')),
+                ('meta_task_value', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.MetaTaskValue')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MedCATModel',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=100)),
+                ('cdb', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB')),
+                ('vocab', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Vocabulary')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Link',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=300)),
+                ('concept', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Concept')),
+                ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+            ],
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='document',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='annotated_entity', to='api.Document'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='entity',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Entity'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='project',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='user',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.CreateModel(
+            name='ProjectMetaAnnotate',
+            fields=[
+                ('project_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='api.Project')),
+                ('project_annotate_entities', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.ProjectAnnotateEntities')),
+                ('tasks', models.ManyToManyField(to='api.MetaTask')),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+            bases=('api.project',),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='medcat_models',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MedCATModel'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py b/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py
new file mode 100644
index 000000000..2873d99c3
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.5 on 2019-09-23 23:42
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='correct',
+            field=models.BooleanField(default=True),
+        ),
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='validated',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py b/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py
new file mode 100644
index 000000000..759dfe393
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py
@@ -0,0 +1,22 @@
+# Generated by Django 2.2.3 on 2019-09-24 19:34
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0002_auto_20190923_2342'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='correct',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='deleted',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py b/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py
new file mode 100644
index 000000000..8cbff5546
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-09-25 14:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0003_auto_20190924_1934'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='validated_documents',
+            field=models.ManyToManyField(blank=True, default=None, to='api.Document'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py b/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py
new file mode 100644
index 000000000..1778db33b
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-26 16:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0004_auto_20190925_1450'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='alternative',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py b/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py
new file mode 100644
index 000000000..fef009161
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-09-26 23:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0005_annotatedentity_alternative'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='icd10',
+            field=models.TextField(blank=True, default=''),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py b/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py
new file mode 100644
index 000000000..094bf0532
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.3 on 2019-09-27 22:43
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0006_concept_icd10'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py b/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py
new file mode 100644
index 000000000..5675cc84a
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-28 01:21
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0007_concept_cdb'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='manually_created',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py b/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py
new file mode 100644
index 000000000..9dd1c40a0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 00:01
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0008_annotatedentity_manually_created'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='document',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py b/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py
new file mode 100644
index 000000000..2e9b45ef6
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 00:06
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0009_document_last_modified'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py b/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py
new file mode 100644
index 000000000..d3bb6ebf7
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 17:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0010_annotatedentity_last_modified'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, null=True, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py b/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py
new file mode 100644
index 000000000..57ec7ba0b
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-01 22:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0011_projectannotateentities_cdb_search_filter'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='use_for_training',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py b/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py
new file mode 100644
index 000000000..404dd5101
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-10-01 22:48
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0012_conceptdb_use_for_training'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py b/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py
new file mode 100644
index 000000000..5546d9c16
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-02 16:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0013_auto_20191001_2248'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py b/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py
new file mode 100644
index 000000000..040745c14
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py
@@ -0,0 +1,28 @@
+# Generated by Django 2.2.3 on 2019-10-02 16:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0014_conceptdb_name'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, to='api.MetaTask'),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='acc',
+            field=models.FloatField(default=1),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py b/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py
new file mode 100644
index 000000000..74a95a861
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.3 on 2019-10-02 23:06
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0015_auto_20191002_1615'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='projectannotateentities',
+            name='medcat_models',
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept_source', to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py b/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py
new file mode 100644
index 000000000..ed601474e
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.3 on 2019-10-02 23:28
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0016_auto_20191002_2306'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='Link',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py b/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py
new file mode 100644
index 000000000..3bbe24c85
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-11 16:00
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0017_delete_link'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='killed',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py b/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py
new file mode 100644
index 000000000..feb6114a7
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.7 on 2019-11-24 01:01
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0018_annotatedentity_killed'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='correct',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py b/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py
new file mode 100644
index 000000000..7a35d41c0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-08 11:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0019_annotatedentity_correct'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py b/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py
new file mode 100644
index 000000000..3dc2be017
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-24 11:08
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0020_projectannotateentities_train_model_on_submit'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py b/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py
new file mode 100644
index 000000000..3fd3f33d1
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-01-24 16:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0021_auto_20200124_1108'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='metatask',
+            name='default',
+            field=models.OneToOneField(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='task_default', to='api.MetaTaskValue'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py b/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py
new file mode 100644
index 000000000..e9c2fd5e5
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-28 12:23
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0022_metatask_default'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='opcs4',
+            field=models.TextField(blank=True, default=''),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py b/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py
new file mode 100644
index 000000000..b6abdca30
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py
@@ -0,0 +1,47 @@
+# Generated by Django 2.2.9 on 2020-01-31 23:39
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0023_concept_opcs4'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ICDCode',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('code', models.CharField(max_length=10, unique=True)),
+                ('desc', models.CharField(max_length=300)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='OPCSCode',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('code', models.CharField(max_length=10, unique=True)),
+                ('desc', models.CharField(max_length=300)),
+            ],
+        ),
+        migrations.RemoveField(
+            model_name='concept',
+            name='icd10',
+        ),
+        migrations.RemoveField(
+            model_name='concept',
+            name='opcs4',
+        ),
+        migrations.AddField(
+            model_name='concept',
+            name='icd10',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept', to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='concept',
+            name='opcs4',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept', to='api.OPCSCode'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py b/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py
new file mode 100644
index 000000000..674fc9ed0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py
@@ -0,0 +1,24 @@
+# Generated by Django 2.2.9 on 2020-01-31 23:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0024_auto_20200131_2339'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='icdcode',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AddField(
+            model_name='opcscode',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py b/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py
new file mode 100644
index 000000000..408cee2e8
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.3 on 2020-02-04 15:17
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0025_auto_20200131_2353'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='metatask',
+            name='default',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MetaTaskValue'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py b/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py
new file mode 100644
index 000000000..32ed9e1f8
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 14:43
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0026_auto_20200204_1517'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icdCode',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcsCode',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=True),
+        ),
+        migrations.DeleteModel(
+            name='ProjectMetaAnnotate',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py b/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py
new file mode 100644
index 000000000..a8ee48264
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-02-08 15:59
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0027_auto_20200208_1443'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py b/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py
new file mode 100644
index 000000000..d8169689d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 16:09
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0028_auto_20200208_1559'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icdCode',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcsCode',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icd_Code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcs_Code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py b/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py
new file mode 100644
index 000000000..ea554d677
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 18:58
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0029_auto_20200208_1609'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icd_Code',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcs_Code',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icd_code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcs_code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py b/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py
new file mode 100644
index 000000000..c5c5ac842
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:17
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0030_auto_20200208_1858'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(2020, 2, 12, 0, 17, 34, 144415)),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py b/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py
new file mode 100644
index 000000000..4af5cf10e
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:17
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0031_annotatedentity_create_time'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(2020, 2, 12, 0, 17, 35, 796151)),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py b/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py
new file mode 100644
index 000000000..50a55bcc2
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:21
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0032_auto_20200212_0017'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(1970, 1, 1, 0, 0)),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py b/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py
new file mode 100644
index 000000000..b46cbd1d8
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:22
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0033_auto_20200212_0021'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py b/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py
new file mode 100644
index 000000000..957bce7e1
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-03-15 10:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0034_auto_20200212_0022'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py b/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py
new file mode 100644
index 000000000..370a97edf
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.11 on 2020-03-20 01:05
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0035_projectannotateentities_add_new_entities'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py b/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py
new file mode 100644
index 000000000..1211b437a
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.11 on 2020-03-20 01:07
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0036_auto_20200320_0105'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py b/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py
new file mode 100644
index 000000000..93e6ae808
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-04-07 14:18
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0037_auto_20200320_0107'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(max_length=100),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py b/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py
new file mode 100644
index 000000000..db7839ce3
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-04-11 19:47
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0038_auto_20200407_1418'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, null=True, upload_to=''),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py b/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py
new file mode 100644
index 000000000..505fff17f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-04-16 19:47
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0039_project_cuis_file'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py b/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py
new file mode 100644
index 000000000..d9060bbbf
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-05-19 15:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0040_projectannotateentities_restrict_concept_lookup'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["S-1234","S-54321"]', null=True, upload_to=''),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py b/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py
new file mode 100644
index 000000000..5506863b9
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py
@@ -0,0 +1,38 @@
+# Generated by Django 2.2.12 on 2020-05-20 09:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0041_auto_20200519_1544'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False, help_text='allow the creation of new terms to be added to the CDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False, help_text='customised UI for the clinical coding (ICD-10/OPCS-4 use case'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=True, help_text='Entities appear grey and are required to be validated before submission'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='users can only select terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True, help_text='active learning - configured CDB is trainedon each submit'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py b/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py
new file mode 100644
index 000000000..d23037510
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-05-20 10:18
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0042_auto_20200520_0945'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False, help_text='customised UI for the clinical coding (ICD-10/OPCS-4) use case'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py b/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py
new file mode 100644
index 000000000..54ce5c531
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-06-03 08:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0043_auto_20200520_1018'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=False, help_text='enable the option to terminate concepts.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py b/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py
new file mode 100644
index 000000000..3c6683c53
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-06-03 09:34
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0044_projectannotateentities_terminate_available'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=True, help_text='enable the option to terminate concepts.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py b/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py
new file mode 100644
index 000000000..9878cfab7
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.12 on 2020-08-02 10:06
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0045_auto_20200603_0934'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False, help_text='Allow the creation of new terms to be added to the CDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only select terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=True, help_text='Enable the option to terminate concepts.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True, help_text='Active learning - configured CDB is trained on each submit'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py b/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py
new file mode 100644
index 000000000..66ae7eed8
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-01-12 03:55
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0046_auto_20200802_1006'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100),
+        ),
+        migrations.AlterField(
+            model_name='concept',
+            name='pretty_name',
+            field=models.CharField(db_index=True, max_length=300),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py b/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py
new file mode 100644
index 000000000..4ac94a320
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-01-13 03:54
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0047_auto_20210112_0355'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ProjectCuiCounter',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('count', models.IntegerField()),
+                ('entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Entity')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project')),
+            ],
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py b/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py
new file mode 100644
index 000000000..01eddc7a3
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-02-02 15:39
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0048_projectcuicounter'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='irrelevant',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='irrelevant_available',
+            field=models.BooleanField(default=False, help_text='Enable the option to add the irrelevant button.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py b/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py
new file mode 100644
index 000000000..cdced0379
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.0 on 2021-02-02 18:31
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0049_auto_20210202_1539'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='project',
+            name='tuis',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py b/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py
new file mode 100644
index 000000000..052caa4b2
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.18 on 2021-02-11 18:12
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0050_remove_project_tuis'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py b/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py
new file mode 100644
index 000000000..b6d4ed12f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.18 on 2021-02-16 11:30
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0051_auto_20210211_1812'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["1234567","7654321"]', null=True, upload_to=''),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py b/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py
new file mode 100644
index 000000000..be0650972
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.2.18 on 2021-02-16 11:58
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0052_auto_20210216_1130'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py b/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py
new file mode 100644
index 000000000..a68e7caad
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.2.18 on 2021-03-12 10:48
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0053_remove_projectannotateentities_clinical_coding_project'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='concept',
+            name='vocab',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py b/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py
new file mode 100644
index 000000000..b6358161e
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2021-04-17 09:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0054_remove_concept_vocab'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100, unique=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py b/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py
new file mode 100644
index 000000000..d21ee9783
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2021-04-17 09:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0055_auto_20210417_0902'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py b/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py
new file mode 100644
index 000000000..2238e8b9f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py
@@ -0,0 +1,43 @@
+# Generated by Django 2.2.24 on 2021-07-05 09:54
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+        ('api', '0056_auto_20210417_0926'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Relation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('label', models.CharField(max_length=300, unique=True)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='EntityRelation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('validated', models.BooleanField(default=False)),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('last_modified', models.DateTimeField(auto_now=True)),
+                ('document', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='entity_relation_document', to='api.Document')),
+                ('end_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='end_entity', to='api.AnnotatedEntity')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project')),
+                ('relation', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Relation')),
+                ('start_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='start_entity', to='api.AnnotatedEntity')),
+                ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+            ],
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='relations',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Relations that will be available for this project', to='api.Relation'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py b/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py
new file mode 100644
index 000000000..8ce9a22ad
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.2.9 on 2021-09-21 00:22
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0057_auto_20210705_0954'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='comment',
+            field=models.TextField(blank=True, null=True),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='enable_entity_annotation_comments',
+            field=models.BooleanField(default=False, help_text='Enable to allow annotators to leave comments for each annotation'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py b/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py
new file mode 100644
index 000000000..b0d89b3b2
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py
@@ -0,0 +1,29 @@
+# Generated by Django 2.2.9 on 2021-10-08 20:38
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0058_auto_20210921_0022'),
+    ]
+
+    operations = [
+        migrations.AlterModelOptions(
+            name='annotatedentity',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='document',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='entityrelation',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='relation',
+            options={'ordering': ['id']},
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py b/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py
new file mode 100644
index 000000000..30cc601bb
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2021-10-22 09:40
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0059_auto_20211008_2038'),
+    ]
+
+    operations = [
+        migrations.RenameField(
+            model_name='concept',
+            old_name='tui',
+            new_name='type_ids',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py b/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py
new file mode 100644
index 000000000..914869fdf
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2021-11-02 17:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0060_auto_20211022_0940'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='annotation_guideline_link',
+            field=models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlininng a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py b/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py
new file mode 100644
index 000000000..17f886be0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2022-04-26 15:58
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0061_project_annotation_guideline_link'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py b/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py
new file mode 100644
index 000000000..d93c7a6e5
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.24 on 2022-06-06 11:07
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0062_auto_20220426_1558'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, validators=[django.core.validators.RegexValidator('^[0-9a-zA-Z_-]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py b/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py
new file mode 100644
index 000000000..551488f2f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.24 on 2022-06-06 12:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0063_auto_20220606_1107'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py b/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py
new file mode 100644
index 000000000..e9ae95293
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2022-11-29 11:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0064_auto_20220606_1253'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='concept_source', to='api.ConceptDB'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py b/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py
new file mode 100644
index 000000000..3271394e9
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py
@@ -0,0 +1,20 @@
+# Generated by Django 2.2.28 on 2023-01-05 18:04
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0065_auto_20221129_1102'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ExportedProject',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('trainer_export_file', models.FileField(help_text='Previously exported MedCATtrainer .json file', upload_to='')),
+            ],
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py b/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py
new file mode 100644
index 000000000..a188ee598
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.28 on 2023-01-24 12:03
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0066_exportedproject'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='Concept',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py b/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py
new file mode 100644
index 000000000..1aff45c30
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-02-03 17:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0067_delete_concept'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists. Checking this when bothcuis and cuis_file are empty does nothing. If "add new entities" is available & added, and cuis or cuis_fileis non-empty the new CUI will be added.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py b/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py
new file mode 100644
index 000000000..a7ba10e91
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py
@@ -0,0 +1,28 @@
+# Generated by Django 2.2.28 on 2023-07-11 09:38
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0068_auto_20230203_1715'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these project annotations are suitablefor training a general purpose model. Ifin doubt mark this as False.'),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='project_status',
+            field=models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the project to indicate the readiness', max_length=1),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='projected_locked',
+            field=models.BooleanField(default=False, help_text='If this project is locked and cannot or should not be touched any further.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py b/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py
new file mode 100644
index 000000000..7cc9ff687
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-07-11 09:51
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0069_auto_20230711_0938'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these project annotations are suitable for training a general purpose model. If in doubt uncheck this.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py b/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py
new file mode 100644
index 000000000..f97174d13
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-07-11 16:54
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0070_auto_20230711_0951'),
+    ]
+
+    operations = [
+        migrations.RenameField(
+            model_name='project',
+            old_name='projected_locked',
+            new_name='project_locked',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py b/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py
new file mode 100644
index 000000000..39395793d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.28 on 2023-09-21 12:09
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0071_auto_20230711_1654'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='ProjectCuiCounter',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py b/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py
new file mode 100644
index 000000000..52720ade0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py
@@ -0,0 +1,26 @@
+# Generated by Django 2.2.28 on 2023-10-22 00:28
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0072_delete_projectcuicounter'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ProjectMetrics',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('report_name_generated', models.TextField(help_text='report name that links this metrics report to a previously ran bg task')),
+                ('report_name', models.TextField(help_text='A user specified report name that should be more user friendly than the generated one')),
+                ('report', models.FileField(help_text='the outputted metrics for configured', upload_to='')),
+                ('projects', models.ManyToManyField(blank=True, null=True, to='api.ProjectAnnotateEntities')),
+            ],
+        ),
+        migrations.DeleteModel(
+            name='MedCATModel',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0074_auto_20231211_1526.py b/medcat-trainer/webapp/api/api/migrations/0074_auto_20231211_1526.py
new file mode 100644
index 000000000..e910b17bd
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0074_auto_20231211_1526.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-12-11 15:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0073_auto_20231022_0028'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectmetrics',
+            name='projects',
+            field=models.ManyToManyField(blank=True, to='api.ProjectAnnotateEntities'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py b/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py
new file mode 100644
index 000000000..1d34052fc
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py
@@ -0,0 +1,36 @@
+# Generated by Django 2.2.28 on 2024-02-15 10:24
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0073_auto_20231022_0028'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='opcscode',
+            name='cdb',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icd_code',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcs_code',
+        ),
+        migrations.AlterField(
+            model_name='projectmetrics',
+            name='projects',
+            field=models.ManyToManyField(blank=True, to='api.ProjectAnnotateEntities'),
+        ),
+        migrations.DeleteModel(
+            name='ICDCode',
+        ),
+        migrations.DeleteModel(
+            name='OPCSCode',
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py b/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py
new file mode 100644
index 000000000..14250e284
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.2.28 on 2024-04-29 13:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0074_auto_20240215_1024'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='metaannotation',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py b/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py
new file mode 100644
index 000000000..571d974ef
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py
@@ -0,0 +1,115 @@
+# Generated by Django 2.2.28 on 2024-05-10 14:51
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+        ('api', '0075_auto_20240429_1350'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these annotations are suitable for training a general purpose model. If in doubt uncheck this.'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_guideline_link',
+            field=models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlining a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='cuis',
+            field=models.TextField(blank=True, default=None, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='dataset',
+            field=models.ForeignKey(help_text='The dataset to be annotated.', on_delete=django.db.models.deletion.CASCADE, to='api.Dataset'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='description',
+            field=models.TextField(blank=True, default='', help_text='A short description of the annotations to be collected and why'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='members',
+            field=models.ManyToManyField(help_text='The list users that have access to this annotation project', to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='project_locked',
+            field=models.BooleanField(default=False, help_text='Locked indicates annotation collection is complete and this dataset should not be touched any further.'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='project_status',
+            field=models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the annotation collection exercise', max_length=1),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project', to='api.MetaTask'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary'),
+        ),
+        migrations.CreateModel(
+            name='ProjectGroup',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(help_text='A name of the annotation project', max_length=150)),
+                ('description', models.TextField(blank=True, default='', help_text='A short description of the annotations to be collected and why')),
+                ('annotation_guideline_link', models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlining a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('last_modified', models.DateTimeField(auto_now=True)),
+                ('cuis', models.TextField(blank=True, default=None, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated')),
+                ('cuis_file', models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["1234567","7654321"]', null=True, upload_to='')),
+                ('annotation_classification', models.BooleanField(default=False, help_text='If these annotations are suitable for training a general purpose model. If in doubt uncheck this.')),
+                ('project_locked', models.BooleanField(default=False, help_text='Locked indicates annotation collection is complete and this dataset should not be touched any further.')),
+                ('project_status', models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the annotation collection exercise', max_length=1)),
+                ('require_entity_validation', models.BooleanField(default=True, help_text='Entities appear grey and are required to be validated before submission')),
+                ('train_model_on_submit', models.BooleanField(default=True, help_text='Active learning - configured CDB is trained on each submit')),
+                ('add_new_entities', models.BooleanField(default=False, help_text='Allow the creation of new terms to be added to the CDB')),
+                ('restrict_concept_lookup', models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists. Checking this when bothcuis and cuis_file are empty does nothing. If "add new entities" is available & added, and cuis or cuis_fileis non-empty the new CUI will be added.')),
+                ('terminate_available', models.BooleanField(default=True, help_text='Enable the option to terminate concepts.')),
+                ('irrelevant_available', models.BooleanField(default=False, help_text='Enable the option to add the irrelevant button.')),
+                ('enable_entity_annotation_comments', models.BooleanField(default=False, help_text='Enable to allow annotators to leave comments for each annotation')),
+                ('administrators', models.ManyToManyField(help_text='The set of users that will have visibility of all projects in this project group', related_name='administrators', to=settings.AUTH_USER_MODEL)),
+                ('annotators', models.ManyToManyField(help_text='The set of users that will each be provided an annotation project', related_name='annotators', to=settings.AUTH_USER_MODEL)),
+                ('cdb_search_filter', models.ManyToManyField(blank=True, default=None, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='project_group_concept_source', to='api.ConceptDB')),
+                ('concept_db', models.ForeignKey(help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB')),
+                ('dataset', models.ForeignKey(help_text='The dataset to be annotated.', on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+                ('relations', models.ManyToManyField(blank=True, default=None, help_text='Relations that will be available for this project', to='api.Relation')),
+                ('tasks', models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project', to='api.MetaTask')),
+                ('vocab', models.ForeignKey(help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='group',
+            field=models.ForeignKey(blank=True, help_text='The annotation project group that this project is part of', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ProjectGroup'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py b/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py
new file mode 100644
index 000000000..0905d55b0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2024-05-14 12:52
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0076_auto_20240510_1451'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectgroup',
+            name='create_associated_projects',
+            field=models.BooleanField(default=True, help_text='This only functions on new Project Group entries.  If creating a new Project Group and this is checked, it will create a ProjectAnnotateEntities for each annotator. If unchecked it will not create associated ProjectAnnotateEntities instead, leaving the admin to  manually configure groups of projects.'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py b/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py
new file mode 100644
index 000000000..179467f2b
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py
@@ -0,0 +1,20 @@
+# Generated by Django 5.0.6 on 2024-06-07 11:18
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0077_projectgroup_create_associated_projects'),
+        ('contenttypes', '0002_remove_content_type_name'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='polymorphic_ctype',
+            field=models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_%(app_label)s.%(class)s_set+', to='contenttypes.contenttype'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py b/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py
new file mode 100644
index 000000000..5f52fbf0a
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py
@@ -0,0 +1,34 @@
+# Generated by Django 2.2.28 on 2024-06-05 23:39
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0077_projectgroup_create_associated_projects'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='MetaCATModel',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=100)),
+                ('meta_cat_dir', models.FilePathField(allow_folders=True, help_text='The zip or dir for a MetaCAT model')),
+                ('meta_task', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MetaTask')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ModelPack',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.TextField()),
+                ('model_pack', models.FileField(help_text='Model pack zip', upload_to='')),
+                ('concept_db', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB')),
+                ('meta_cats', models.ManyToManyField(blank=True, default=None, to='api.MetaCATModel')),
+                ('vocab', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.Vocabulary')),
+            ],
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py b/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py
new file mode 100644
index 000000000..0d011c638
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py
@@ -0,0 +1,14 @@
+# Generated by Django 2.2.28 on 2024-07-01 22:59
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0078_metacatmodel_modelpack'),
+        ('api', '0078_alter_project_polymorphic_ctype'),
+    ]
+
+    operations = [
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py b/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py
new file mode 100644
index 000000000..a92a99dbe
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py
@@ -0,0 +1,31 @@
+# Generated by Django 5.0.6 on 2024-07-10 16:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0079_merge_20240701_2259'),
+    ]
+
+    operations = [
+        migrations.AlterModelOptions(
+            name='metatask',
+            options={'ordering': ['ordering', 'name']},
+        ),
+        migrations.AlterModelOptions(
+            name='metataskvalue',
+            options={'ordering': ['ordering', 'name']},
+        ),
+        migrations.AddField(
+            model_name='metatask',
+            name='ordering',
+            field=models.PositiveSmallIntegerField(default=0, help_text='the order in which the meta task will appear in the Trainer Annotation project screen'),
+        ),
+        migrations.AddField(
+            model_name='metataskvalue',
+            name='ordering',
+            field=models.PositiveSmallIntegerField(default=0, help_text='the order in which the meta task value will appear in the Trainer Annotation project screen'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py b/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py
new file mode 100644
index 000000000..49798fe64
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.0.6 on 2024-07-10 16:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0080_alter_metatask_options_alter_metataskvalue_options_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='metatask',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py b/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py
new file mode 100644
index 000000000..df09c1936
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py
@@ -0,0 +1,98 @@
+# Generated by Django 5.0.6 on 2024-08-28 10:56
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0081_alter_metatask_name'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='metacatmodel',
+            name='meta_task',
+        ),
+        migrations.AddField(
+            model_name='metaannotation',
+            name='predicted_meta_task_value',
+            field=models.ForeignKey(blank=True, help_text='meta annotation predicted by a MetaAnnotationModel', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='predicted_value', to='api.metataskvalue'),
+        ),
+        migrations.AddField(
+            model_name='metatask',
+            name='prediction_model',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.metacatmodel'),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='meta_cat_predictions',
+            field=models.BooleanField(default=False, help_text='If MetaTasks are setup on the project and there are associated MetaCATModel instances, display these predictions in the interface to be validated / corrected'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='model_pack',
+            field=models.ForeignKey(blank=True, default=None, help_text='A MedCAT model pack. This will raise an exception if both the CDB and Vocab and ModelPack fields are set', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.modelpack'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='meta_cat_predictions',
+            field=models.BooleanField(default=False, help_text='If MetaTasks are setup on the project and there are associated MetaCATModel instances, display these predictions in the interface to be validated / corrected'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='model_pack',
+            field=models.ForeignKey(blank=True, default=None, help_text='A MedCAT model pack. This will raise an exception if both the CDB and Vocab and ModelPack fields are set', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.modelpack'),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(default=False, help_text='If an annotation is not '),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='meta_cat_dir',
+            field=models.FilePathField(allow_folders=True, editable=False, help_text='The zip or dir for a MetaCAT model, not editable, is set via a model pack .zip upload'),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='name',
+            field=models.CharField(help_text='The task name followed by the underlying model impl', max_length=100),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project, this will default to the set of Tasks configured in a ModelPack if a model pack is used for the project', to='api.metatask'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.vocabulary'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='project_group_concept_source', to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project, this will default to the set of Tasks configured in a ModelPack if a model pack is used for the project', to='api.metatask'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='vocab',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.vocabulary'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py b/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py
new file mode 100644
index 000000000..289715e0e
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.0.6 on 2024-08-29 11:25
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0082_remove_metacatmodel_meta_task_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='prepared_documents',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Set automatically on each prep of a document', related_name='prepared_documents', to='api.document'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='validated_documents',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Set automatically on each doc submission', to='api.document'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py b/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py
new file mode 100644
index 000000000..1440d016b
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py
@@ -0,0 +1,33 @@
+# Generated by Django 5.0.6 on 2024-09-20 15:21
+
+import datetime
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0083_project_prepared_documents_and_more'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=datetime.datetime(2023, 1, 1, 0, 0)),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='conceptdb',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='conceptdb',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py b/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py
new file mode 100644
index 000000000..fc3cdb953
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py
@@ -0,0 +1,49 @@
+# Generated by Django 5.1.4 on 2025-01-29 23:30
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0084_conceptdb_create_time_conceptdb_last_modified_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[0-9a-zA-Z_-]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+        migrations.AlterField(
+            model_name='dataset',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='name',
+            field=models.CharField(help_text='The task name followed by the underlying model impl', max_length=100, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='metataskvalue',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='modelpack',
+            name='name',
+            field=models.TextField(unique=True),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150, unique=True),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py b/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py
new file mode 100644
index 000000000..277c9b70e
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.1.4 on 2025-01-30 00:36
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0085_alter_conceptdb_name_alter_dataset_name_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='vocabulary',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py b/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py
new file mode 100644
index 000000000..465fda7e0
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py
@@ -0,0 +1,55 @@
+# Generated by Django 5.1.4 on 2025-01-30 11:07
+
+import django.core.validators
+import django.db.models.deletion
+import django.utils.timezone
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0086_vocabulary_name'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='modelpack',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='modelpack',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='modelpack',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[a-zA-Z][a-zA-Z0-9_]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py b/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py
new file mode 100644
index 000000000..f7b9d6cdb
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py
@@ -0,0 +1,19 @@
+# Generated by Django 5.1.4 on 2025-01-30 11:09
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0087_modelpack_create_time_modelpack_last_modified_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[a-zA-Z][a-zA-Z0-9_]*$', 'a-z for first character required. Alpahanumeric and _ thereafter are allowed for CDB names')]),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py b/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py
new file mode 100644
index 000000000..f53166708
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.1.4 on 2025-02-06 15:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0088_alter_conceptdb_name'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='deid_model_annotation',
+            field=models.BooleanField(default=False, help_text='To indicate that this project is to collect De-ID Model annotations'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='deid_model_annotation',
+            field=models.BooleanField(default=False, help_text='To indicate that this project is to collect De-ID Model annotations'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0090_merge_20250623_1330.py b/medcat-trainer/webapp/api/api/migrations/0090_merge_20250623_1330.py
new file mode 100644
index 000000000..8c502e4a7
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0090_merge_20250623_1330.py
@@ -0,0 +1,14 @@
+# Generated by Django 5.1.11 on 2025-06-23 13:30
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0074_auto_20231211_1526'),
+        ('api', '0089_projectannotateentities_deid_model_annotation_and_more'),
+    ]
+
+    operations = [
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0091_exportedproject_cdb_id_exportedproject_modelpack_id_and_more.py b/medcat-trainer/webapp/api/api/migrations/0091_exportedproject_cdb_id_exportedproject_modelpack_id_and_more.py
new file mode 100644
index 000000000..d35210016
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0091_exportedproject_cdb_id_exportedproject_modelpack_id_and_more.py
@@ -0,0 +1,29 @@
+# Generated by Django 5.1.7 on 2025-09-29 16:16
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0090_merge_20250623_1330'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='exportedproject',
+            name='cdb_id',
+            field=models.ForeignKey(blank=True, default=None, help_text='The ConceptDB to be set for this exported project', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.conceptdb'),
+        ),
+        migrations.AddField(
+            model_name='exportedproject',
+            name='modelpack_id',
+            field=models.ForeignKey(blank=True, default=None, help_text='The ModelPack to be set for this exported project', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.modelpack'),
+        ),
+        migrations.AddField(
+            model_name='exportedproject',
+            name='vocab_id',
+            field=models.ForeignKey(blank=True, default=None, help_text='The Vocabulary to be set for this exported project', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.vocabulary'),
+        ),
+    ]
diff --git a/medcat-trainer/webapp/api/api/migrations/0092_exportedproject_cdb_search_filter_id_and_more.py b/medcat-trainer/webapp/api/api/migrations/0092_exportedproject_cdb_search_filter_id_and_more.py
new file mode 100644
index 000000000..e1b4db2b3
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/migrations/0092_exportedproject_cdb_search_filter_id_and_more.py
@@ -0,0 +1,42 @@
+# Generated by Django 5.1.7 on 2025-10-07 00:03
+
+import django.core.validators
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0091_exportedproject_cdb_id_exportedproject_modelpack_id_and_more'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='exportedproject',
+            name='cdb_search_filter_id',
+            field=models.ForeignKey(blank=True, default=None, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='concept_source_exported_project', to='api.conceptdb'),
+        ),
+        migrations.AddField(
+            model_name='exportedproject',
+            name='import_project_name_suffix',
+            field=models.CharField(default=' IMPORTED', help_text='The suffix to be added to the project name', max_length=100),
+        ),
+        migrations.AddField(
+            model_name='exportedproject',
+            name='members',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The annotators for the project', to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AddField(
+            model_name='exportedproject',
+            name='set_validated_docs',
+            field=models.BooleanField(default=False, help_text='Whether to set the validated documents, e.g. their annotation submit status.'),
+        ),
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[a-zA-Z][a-zA-Z0-9_]*$', 'a-zA-Z for first character required. Alpahanumeric or _ thereafter are allowed for CDB names')]),
+        ),
+    ]
diff --git a/medcat-v1/medcat/stats/__init__.py b/medcat-trainer/webapp/api/api/migrations/__init__.py
similarity index 100%
rename from medcat-v1/medcat/stats/__init__.py
rename to medcat-trainer/webapp/api/api/migrations/__init__.py
diff --git a/medcat-trainer/webapp/api/api/model_cache.py b/medcat-trainer/webapp/api/api/model_cache.py
new file mode 100644
index 000000000..e3e2a9a84
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/model_cache.py
@@ -0,0 +1,231 @@
+import logging
+import os
+from typing import Dict, Optional, Any
+
+from pydantic import ValidationError
+
+from medcat import __version__ as mct_version
+from medcat.cat import CAT
+from medcat.config.config import Config, SerialisableBaseModel
+from medcat.cdb import CDB
+from medcat.vocab import Vocab
+from medcat.utils.legacy.convert_cdb import get_cdb_from_old
+
+from api.models import ConceptDB
+
+"""
+Module level caches for CDBs, Vocabs and CAT instances.
+"""
+# Maps between IDs and objects
+CDB_MAP = {}
+VOCAB_MAP = {}
+CAT_MAP = {}
+
+logger = logging.getLogger(__name__)
+
+try:
+    _MAX_MODELS_LOADED = int(os.getenv("MAX_MEDCAT_MODELS", 1))
+except ValueError:
+    _MAX_MODELS_LOADED = 1
+    logger.warning("MAX_MEDCAT_MODELS is not an integer, using default value of 1")
+
+
+def _clear_models(cdb_map: Dict[str, CDB]=CDB_MAP,
+                  vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+                  cat_map: Dict[str, CAT]=CAT_MAP):
+    if len(cat_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(cat_map)), cat_map.pop(k))
+    if len(cdb_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(cdb_map)), cdb_map.pop(k))
+    if len(vocab_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(vocab_map)), vocab_map.pop(k))
+
+
+def get_medcat_from_cdb_vocab(project,
+                              cdb_map: Dict[str, CDB]=CDB_MAP,
+                              vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+                              cat_map: Dict[str, CAT]=CAT_MAP) -> CAT:
+    cdb_id = project.concept_db.id
+    vocab_id = project.vocab.id
+    cat_id = str(cdb_id) + "-" + str(vocab_id)
+    if cat_id in cat_map:
+        cat = cat_map[cat_id]
+    else:
+        if cdb_id in cdb_map:
+            cdb = cdb_map[cdb_id]
+        else:
+            cdb_path = project.concept_db.cdb_file.path
+            try:
+                cdb = CDB.load(cdb_path)
+            except NotADirectoryError as e:
+                logger.warning("Legacy CDB found, converting to new format")
+                # TODO: deserialise and write back to the model path?
+                cdb = get_cdb_from_old(cdb_path)
+                cdb.save(cdb_path)
+                cdb_map[cdb_id] = cdb
+                cdb_path = project.concept_db.cdb_file.path
+                cdb_map[cdb_id] = cdb
+
+            except KeyError as ke:
+                mc_v = mct_version
+                if int(mc_v.split('.')[0]) > 0:
+                    logger.error('Attempted to load MedCAT v0.x model with MCTrainer v1.x')
+                    raise Exception('Attempted to load MedCAT v0.x model with MCTrainer v1.x',
+                                    'Please re-configure this project to use a MedCAT v1.x CDB or consult the '
+                                    'MedCATTrainer Dev team if you believe this should work') from ke
+                raise
+            # NOTE: dynamic import to avoid circular imports
+            from api.utils import clear_cdb_cnf_addons
+            clear_cdb_cnf_addons(cdb, cdb_id)
+
+            custom_config = os.getenv("MEDCAT_CONFIG_FILE")
+            if custom_config is not None and os.path.exists(custom_config):
+                _parse_config_file(cdb.config, custom_config)
+            else:
+                logger.info("No MEDCAT_CONFIG_FILE env var set to valid path, using default config available on CDB")
+            cdb_map[cdb_id] = cdb
+
+        if vocab_id in vocab_map:
+            vocab = vocab_map[vocab_id]
+        else:
+            vocab_path = project.vocab.vocab_file.path
+            vocab = Vocab.load(vocab_path)
+            vocab_map[vocab_id] = vocab
+        cat = CAT(cdb=cdb, config=cdb.config, vocab=vocab)
+        cat_map[cat_id] = cat
+        _clear_models(cat_map=cat_map, cdb_map=cdb_map, vocab_map=vocab_map)
+    return cat
+
+
+def _parse_config_file(config: Config,
+                       custom_config_path: str):
+    # NOTE: the v2 mappings are a little different
+    mappings = {
+        "linking": "components.linking",
+        "ner": "components.ner",
+    }
+    mappings_key = {
+        "spacy_model": "nlp.modelname"
+    }
+    with open(custom_config_path) as f:
+        for line in f:
+            if not line.strip().startswith("cat"):
+                continue
+            line = line[4:]
+            left, right = line.split("=")
+            variable, key = left.split(".")
+            variable = variable.strip()
+            # map to v2
+            variable = mappings.get(variable, variable)
+            key = key.strip()
+            # key can also differ
+            key = mappings_key.get(key, key)
+            value = eval(right)
+            alt_value = set() if right.strip() in ({}, "{}") else None
+
+            # get (potentially nested in case of v2 mapping) attribute
+            cnf = config
+            while "." in variable:
+                current, variable = variable.split(".", 1)
+                cnf = getattr(cnf, current)
+            attr = getattr(cnf, variable)
+            while "." in key:
+                cur_key, key = key.split(".", 1)
+                attr = getattr(attr, cur_key)
+            if isinstance(attr, SerialisableBaseModel):
+                _set_value_or_alt(attr, key, value, alt_value)
+            elif isinstance(attr, dict):
+                attr[key] = value
+            else:
+                raise ValueError(f'Unknown attribute {attr} for "{line}"')
+
+
+def _set_value_or_alt(conf: SerialisableBaseModel, key: str, value: Any,
+                      alt_value: Any, err: Optional[ValidationError] = None) -> None:
+    try:
+        setattr(conf, key, value) # hoping for correct type
+    except ValidationError as ve:
+        if alt_value is not None:
+            _set_value_or_alt(conf, key, alt_value, None, err=ve)
+        elif err is not None:
+            raise err
+        else:
+            raise ve
+
+
+def get_medcat_from_model_pack(project, cat_map: Dict[str, CAT]=CAT_MAP) -> CAT:
+    model_pack_obj = project.model_pack
+    cat_id = 'mp' + str(model_pack_obj.id)
+    logger.info('Loading model pack from:%s', model_pack_obj.model_pack.path)
+    cat = CAT.load_model_pack(model_pack_obj.model_pack.path)
+    cat_map[cat_id] = cat
+    _clear_models(cat_map=cat_map)
+    return cat
+
+
+def get_medcat(project,
+               cdb_map: Dict[str, CDB]=CDB_MAP,
+               vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+               cat_map: Dict[str, CAT]=CAT_MAP):
+    try:
+        if project.model_pack is None:
+            cat = get_medcat_from_cdb_vocab(project, cdb_map, vocab_map, cat_map)
+        else:
+            cat = get_medcat_from_model_pack(project, cat_map)
+        return cat
+    except AttributeError as err:
+        raise Exception('Failure loading Project ConceptDB, Vocab or Model Pack. Are these set correctly?') from err
+
+
+def get_cached_medcat(project, cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.model_pack is not None:
+        cat_id = 'mp' + str(project.model_pack.id)
+    else:
+        cdb_id = project.concept_db.id
+        vocab_id = project.vocab.id
+        cat_id = str(cdb_id) + "-" + str(vocab_id)
+    return cat_map.get(cat_id)
+
+
+def clear_cached_medcat(project, cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.model_pack is not None:
+        model_pack_obj = project.model_pack
+        cat_id = 'mp' + str(model_pack_obj.id)
+    else:
+        cdb_id = project.concept_db.id
+        vocab_id = project.vocab.id
+        clear_cached_cdb(cdb_id)
+        clear_cached_vocab(vocab_id)
+        cat_id = str(cdb_id) + "-" + str(vocab_id)
+    if cat_id in cat_map:
+        del cat_map[cat_id]
+
+
+def get_cached_cdb(cdb_id: str, cdb_map: Dict[str, CDB]=CDB_MAP) -> CDB:
+    from api.utils import clear_cdb_cnf_addons
+    if cdb_id not in cdb_map:
+        cdb_obj = ConceptDB.objects.get(id=cdb_id)
+        cdb = CDB.load(cdb_obj.cdb_file.path)
+        clear_cdb_cnf_addons(cdb, cdb_id)
+        cdb_map[cdb_id] = cdb
+    return cdb_map[cdb_id]
+
+
+def clear_cached_cdb(cdb_id, cdb_map: Dict[str, CDB]=CDB_MAP):
+    if cdb_id in cdb_map:
+        del cdb_map[cdb_id]
+
+
+def clear_cached_vocab(vocab_id, vocab_map: Dict[str, Vocab]=VOCAB_MAP):
+    if vocab_id in vocab_map:
+        del vocab_map[vocab_id]
+
+
+def is_model_loaded(project,
+                    cdb_map: Dict[str, CDB]=CDB_MAP,
+                    cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.concept_db is None:
+        # model pack is used.
+        return False if not project.model_pack else f'mp{project.model_pack.id}' in cat_map
+    else:
+        return False if not project.concept_db else project.concept_db.id in cdb_map
diff --git a/medcat-trainer/webapp/api/api/models.py b/medcat-trainer/webapp/api/api/models.py
new file mode 100644
index 000000000..7e62cc33b
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/models.py
@@ -0,0 +1,578 @@
+import logging
+import os
+import shutil
+from zipfile import BadZipFile
+
+import pandas as pd
+from django.conf import settings
+from django.core.exceptions import ValidationError
+from django.core.validators import RegexValidator
+from django.db import models, transaction
+from django.dispatch import receiver
+from django.forms import forms, ModelForm
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.vocab import Vocab
+from medcat.components.addons.meta_cat.meta_cat import MetaCAT, MetaCATAddon
+from polymorphic.models import PolymorphicModel
+
+from core.settings import MEDIA_ROOT
+
+STATUS_CHOICES = [
+        (0, 'Not Validated'),
+        (1, 'Validated'),
+        ]
+
+BOOL_CHOICES = [
+        (0, 'False'),
+        (1, 'True')
+        ]
+
+
+cdb_name_validator = RegexValidator(r'^[a-zA-Z][a-zA-Z0-9_]*$', 'a-zA-Z for first character required. Alpahanumeric or _ thereafter are allowed for CDB names')
+
+logger = logging.getLogger(__name__)
+
+
+class ModelPack(models.Model):
+    name = models.TextField(help_text='', unique=True)
+    model_pack = models.FileField(help_text='Model pack zip')
+    concept_db = models.ForeignKey('ConceptDB', on_delete=models.CASCADE, blank=True, null=True)
+    vocab = models.ForeignKey('Vocabulary', on_delete=models.CASCADE, blank=True, null=True)
+    meta_cats = models.ManyToManyField('MetaCATModel', blank=True, default=None)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)
+
+    @transaction.atomic
+    def save(self, *args, **kwargs):
+        is_new = self._state.adding
+        if is_new:
+            super().save(*args, **kwargs)
+
+        # Process the model pack
+        logger.info('Loading model pack: %s', self.model_pack)
+        model_pack_name = str(self.model_pack).replace(".zip", "")
+        try:
+            CAT.attempt_unpack(self.model_pack.path)
+        except BadZipFile as exc:
+            # potential for CRC-32 errors in Trainer process - ignore and still use
+            logger.warning(f'Possibly corrupt cdb.dat decompressing {self.model_pack}\nFull Exception: {exc}')
+        unpacked_model_pack_path = self.model_pack.path.replace('.zip', '')
+        # attempt to load cdb
+        try:
+            CAT.load_cdb(unpacked_model_pack_path)
+            concept_db = ConceptDB()
+            unpacked_file_name = self.model_pack.file.name.replace('.zip', '')
+            # cdb path for v2
+            cdb_path = os.path.join(unpacked_file_name, 'cdb')
+            if not os.path.exists(cdb_path):
+                # cdb path for v1
+                cdb_path = os.path.join(unpacked_file_name, 'cdb.dat')
+            concept_db.cdb_file.name = cdb_path
+            concept_db.name = f'{self.name}_CDB'
+            concept_db.save(skip_load=True)
+            self.concept_db = concept_db
+        except Exception as exc:
+            raise FileNotFoundError(f'Error loading the CDB from this model pack: {self.model_pack.path}') from exc
+
+        # Load Vocab, v2
+        vocab_path = os.path.join(unpacked_model_pack_path, "vocab")
+        if not os.path.exists(vocab_path):
+            # v1
+            vocab_path = os.path.join(unpacked_model_pack_path, "vocab.dat")
+        if os.path.exists(vocab_path):
+            Vocab.load(vocab_path)
+            vocab = Vocabulary()
+            vocab.vocab_file.name = vocab_path.replace(f'{MEDIA_ROOT}/', '')
+            vocab.save(skip_load=True)
+            self.vocab = vocab
+        else:
+            # DeID model packs do not have a vocab.dat file
+            logger.warn('Error loading the Vocab from this model pack - '
+                        f'if this is a DeID model pack, this is expected: {vocab_path}')
+
+        # load MetaCATs
+        try:
+            metaCATmodels = []
+            # should raise an error if there already is a MetaCAT model with this definition
+            addons = CAT.load_addons(unpacked_model_pack_path)
+            meta_cat_addons = [
+                (addon_path, addon) for addon_path, addon in addons
+                if isinstance(addon, MetaCATAddon)]
+            for meta_cat_dir, meta_cat_addon in meta_cat_addons:
+                meta_cat = meta_cat_addon.mc
+                mc_model = MetaCATModel()
+                mc_model.meta_cat_dir = meta_cat_dir.replace(f'{MEDIA_ROOT}/', '')
+                mc_model.name = f'{meta_cat.config.general.category_name} - {meta_cat.config.model.model_name}'
+                mc_model.save(unpack_load_meta_cat_dir=False)
+                mc_model.get_or_create_meta_tasks_and_values(meta_cat)
+                metaCATmodels.append(mc_model)
+            self.meta_cats.set(metaCATmodels)  # Use set() instead of add() for atomic operation
+        except Exception as exc:
+            raise MedCATLoadException(f'Failure loading MetaCAT models - {unpacked_model_pack_path}') from exc
+
+        super().save(*args, **kwargs)
+
+    def __str__(self):
+        return self.name
+
+
+class ConceptDB(models.Model):
+    name = models.CharField(max_length=100, default='', blank=True, validators=[cdb_name_validator], unique=True)
+    cdb_file = models.FileField()
+    use_for_training = models.BooleanField(default=True)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.__cdb_field_name = None
+
+    @classmethod
+    def from_db(cls, db, field_names, values):
+        inst = super().from_db(db, field_names, values)
+        inst.__cdb_field_name = [v for f, v in zip(field_names, values) if f == 'cdb_file'][0]
+        return inst
+
+    def save(self, *args, skip_load=False, **kwargs):
+        if self.__cdb_field_name is not None and self.__cdb_field_name != self.cdb_file.name:
+            raise ValidationError('Cannot change file path of existing CDB.')
+        else:
+            super().save(*args, **kwargs)
+        # load the CDB, and raise if this fails - must be saved first so storage handler can rename path if name clashes
+        if not skip_load:
+            try:
+                CDB.load(self.cdb_file.path)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load Concept DB from {self.cdb_file}, '
+                                          f'check if this CDB file successfully loads elsewhere') from exc
+
+
+    def __str__(self):
+        return self.name
+
+
+class Vocabulary(models.Model):
+    name = models.CharField(max_length=100, default='', blank=True)
+    vocab_file = models.FileField()
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)
+
+    def save(self, *args, skip_load=False, **kwargs):
+        super().save(*args, **kwargs)
+
+        # load the Vocab, and raise if this fails
+        if not skip_load:
+            try:
+                Vocab.load(self.vocab_file.path)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load Vocab from {self.vocab_file}, '
+                                          f'check if this Vocab file successfully loads elsewhere') from exc
+
+    def __str__(self):
+        return str(self.vocab_file.name)
+
+
+class MetaCATModel(models.Model):
+    name = models.CharField(max_length=100, help_text="The task name followed by the underlying model impl", unique=True)
+    meta_cat_dir = models.FilePathField(help_text='The zip or dir for a MetaCAT model, not editable, '
+                                                  'is set via a model pack .zip upload',
+                                        allow_folders=True, editable=False)
+
+    def get_or_create_meta_tasks_and_values(self, meta_cat: MetaCAT):
+        task = meta_cat.config.general.category_name
+        mt = MetaTask.objects.filter(name=task).first()
+        if not mt:
+            mt = MetaTask()
+            mt.name = task
+            mt.prediction_model = self
+            mt.save()
+        else:
+            mt.prediction_model = self
+            mt.save()
+
+        mt_vs = []
+        for meta_task_value in meta_cat.config.general.category_value2id.keys():
+            mt_v = MetaTaskValue.objects.filter(name=meta_task_value).first()
+            if not mt_v:
+                mt_v = MetaTaskValue()
+                mt_v.name = meta_task_value
+                mt_v.save()
+            mt_vs.append(mt_v)
+        mt.values.set(mt_vs)
+        self.save()
+
+    def save(self, *args, unpack_load_meta_cat_dir=False, **kwargs):
+        if unpack_load_meta_cat_dir:
+            try:
+                # load the meta cat model, raise if issues
+                model_files = os.path.join(MEDIA_ROOT, self.meta_cat_dir)
+                shutil.unpack_archive(self.meta_cat_dir, extract_dir=model_files)
+                MetaCAT.load(save_dir_path=model_files)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load MetaCAT from {self.meta_cat_dir}, '
+                                          f'check if this MetaCAT dir successfully loads elsewhere') from exc
+        super().save(*args, **kwargs)
+
+    def __str__(self):
+        return f'{self.name} - {str(self.meta_cat_dir)}'
+
+
+class Dataset(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    original_file = models.FileField()
+    create_time = models.DateTimeField(auto_now_add=True)
+    description = models.TextField(default="", blank=True)
+
+    def __str__(self):
+        return str(self.name)
+
+
+class DatasetForm(ModelForm):
+    def clean(self):
+        original_file = self.cleaned_data['original_file']
+        if '.csv' in original_file.name:
+            df = pd.read_csv(original_file.file, on_bad_lines='error')
+        elif '.xlsx' in original_file.name:
+            df = pd.read_excel(original_file.file)
+        else:
+            raise forms.ValidationError({'original_file': 'Must be either .csv or .xlsx'})
+        if 'name' not in df.columns or 'text' not in df.columns:
+            raise forms.ValidationError({'original_file': 'Must contain at least a "name" and "text" column'})
+
+
+class Document(models.Model):
+    name = models.CharField(max_length=150)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    text = models.TextField(default="", blank=True)
+    dataset = models.ForeignKey('Dataset', on_delete=models.CASCADE)
+
+    class Meta:
+        ordering = ['id']
+
+    def __str__(self):
+        return f'{self.name} | {self.dataset.name} | {self.dataset.id}'
+
+
+class ProjectFields(models.Model):
+    class Meta:
+        abstract = True
+
+    PROJECT_STATUSES = [
+        ("A", "Annotating"),
+        ("D", "Discontinued (Fail)"),
+        ("C", "Complete"),
+    ]
+
+    name = models.CharField(max_length=150, help_text='A name of the annotation project', unique=True)
+    description = models.TextField(default="", blank=True, help_text='A short description of the annotations to be '
+                                                                     'collected and why')
+    dataset = models.ForeignKey('Dataset', on_delete=models.CASCADE, help_text='The dataset to be annotated.')
+    annotation_guideline_link = models.TextField(default="", blank=True,
+                                                 help_text="link to an external document (i.e. GoogleDoc, MS Sharepoint)"
+                                                           "outlining a guide for annotators to follow for this project,"
+                                                           "an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing")
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    cuis = models.TextField(default=None, blank=True, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated')
+    cuis_file = models.FileField(null=True, blank=True,
+                                 help_text='A file containing a JSON formatted list of CUI code strings, '
+                                           'i.e. ["1234567","7654321"]')
+    annotation_classification = models.BooleanField(default=False, help_text="If these annotations are suitable "
+                                                                             "for training a general purpose model. If"
+                                                                             " in doubt uncheck this.")
+    meta_cat_predictions = models.BooleanField(default=False, help_text="If MetaTasks are setup on the project and "
+                                                                        "there are associated MetaCATModel instances, "
+                                                                        "display these predictions in the interface to "
+                                                                        "be validated / corrected")
+    project_locked = models.BooleanField(default=False, help_text="Locked indicates annotation collection is complete and this dataset should "
+                                                                  "not be touched any further.")
+    project_status = models.CharField(max_length=1, choices=PROJECT_STATUSES, default="A",
+                                      help_text="The status of the annotation collection exercise")
+
+
+class Project(PolymorphicModel, ProjectFields):
+    members = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                     help_text='The list users that have access to this annotation project')
+    group = models.ForeignKey('ProjectGroup', on_delete=models.SET_NULL, blank=True, null=True,
+                              help_text='The annotation project group that this project is part of')
+    validated_documents = models.ManyToManyField(Document, default=None, blank=True,
+                                                 help_text='Set automatically on each doc submission')
+    prepared_documents = models.ManyToManyField(Document, default=None, blank=True,
+                                                help_text='Set automatically on each prep of a document',
+                                                related_name='prepared_documents')
+
+    def __str__(self):
+        return str(self.name)
+
+
+class Entity(models.Model):
+    label = models.CharField(max_length=300, unique=True)
+
+    def __str__(self):
+        return str(self.label)
+
+
+class Relation(models.Model):
+    label = models.CharField(max_length=300, unique=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def __str__(self):
+        return str(self.label)
+
+
+class EntityRelation(models.Model):
+    user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
+    project = models.ForeignKey('Project', on_delete=models.CASCADE)
+    document = models.ForeignKey('Document', on_delete=models.CASCADE, related_name='entity_relation_document')
+    relation = models.ForeignKey('Relation', on_delete=models.CASCADE)
+    start_entity = models.ForeignKey('AnnotatedEntity', related_name='start_entity', on_delete=models.CASCADE)
+    end_entity = models.ForeignKey('AnnotatedEntity', related_name='end_entity', on_delete=models.CASCADE)
+    validated = models.BooleanField(default=False)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.project.last_modified = self.last_modified
+        self.project.save()
+
+    def __str__(self):
+        return f'{self.start_entity} - {self.relation} - {self.end_entity}'
+
+
+class AnnotatedEntity(models.Model):
+    user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
+    project = models.ForeignKey('Project', on_delete=models.CASCADE)
+    document = models.ForeignKey('Document', on_delete=models.CASCADE, related_name='annotated_entity')
+    entity = models.ForeignKey('Entity', on_delete=models.CASCADE)
+    value = models.CharField(max_length=1000)
+    start_ind = models.IntegerField()
+    end_ind = models.IntegerField()
+    acc = models.FloatField()
+    comment = models.TextField(null=True, blank=True)
+    validated = models.BooleanField(default=False)
+    correct = models.BooleanField(default=False)
+    alternative = models.BooleanField(default=False)
+    manually_created = models.BooleanField(default=False)
+    deleted = models.BooleanField(default=False)
+    killed = models.BooleanField(default=False)
+    irrelevant = models.BooleanField(default=False)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.project.last_modified = self.last_modified
+        self.project.save()
+
+    def __str__(self):
+        return str(self.entity)
+
+
+class MetaTaskValue(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    ordering = models.PositiveSmallIntegerField(help_text="the order in which the meta task value will appear in "
+                                                          "the Trainer Annotation project screen", default=0)
+
+    class Meta:
+        ordering = ['ordering', 'name']
+
+    def __str__(self):
+        return str(self.name)
+
+
+class MetaTask(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    values = models.ManyToManyField(MetaTaskValue, related_name='values')
+    default = models.ForeignKey('MetaTaskValue', null=True, blank=True, on_delete=models.SET_NULL)
+    description = models.TextField(default="", blank=True)
+    ordering = models.PositiveSmallIntegerField(help_text="the order in which the meta task will appear in "
+                                                          "the Trainer Annotation project screen", default=0)
+    prediction_model = models.ForeignKey('MetaCATModel', null=True, blank=True, on_delete=models.SET_NULL)
+
+    class Meta:
+        ordering = ['ordering', 'name']
+
+    def __str__(self):
+        return str(self.name)
+
+
+class ProjectAnnotateEntitiesFields(models.Model):
+    """
+    Abstract class for all model fields for ProjectAnnotateEntities models.
+    """
+    class Meta:
+        abstract = True
+
+    concept_db = models.ForeignKey('ConceptDB', on_delete=models.SET_NULL, blank=True, null=True,
+                                   help_text='The MedCAT CDB used to annotate / validate')
+    vocab = models.ForeignKey('Vocabulary', on_delete=models.SET_NULL, blank=True, null=True,
+                              help_text='The MedCAT Vocab used to annotate / validate')
+    model_pack = models.ForeignKey('ModelPack', on_delete=models.SET_NULL, help_text="A MedCAT model pack. This will raise an exception if "
+                                                                                     "both the CDB and Vocab and ModelPack fields are set",
+                                   default=None, null=True, blank=True)
+    cdb_search_filter = models.ManyToManyField('ConceptDB', blank=True, default=None,
+                                               help_text='The CDB that will be used for concept lookup. '
+                                                         'This specific CDB should have been "imported" '
+                                                         'via the CDB admin screen',
+                                               related_name='concept_source')
+    require_entity_validation = models.BooleanField(default=True,
+                                                    help_text='Entities appear grey and are required to be validated '
+                                                              'before submission')
+    train_model_on_submit = models.BooleanField(default=True, help_text='Active learning - configured CDB is trained '
+                                                                        'on each submit')
+    add_new_entities = models.BooleanField(default=False,
+                                           help_text='Allow the creation of new terms to be added to the CDB')
+    restrict_concept_lookup = models.BooleanField(default=False,
+                                                  help_text='Users can only search for concept terms from the '
+                                                            'list configured for the project, i.e. either from '
+                                                            'the cuis or cuis_file lists. Checking this when both'
+                                                            'cuis and cuis_file are empty does nothing. If "add new '
+                                                            'entities" is available & added, and cuis or cuis_file'
+                                                            'is non-empty the new CUI will be added.')
+    terminate_available = models.BooleanField(default=True,
+                                              help_text='Enable the option to terminate concepts.')
+    irrelevant_available = models.BooleanField(default=False,
+                                               help_text='Enable the option to add the irrelevant button.')
+    deid_model_annotation = models.BooleanField(default=False,
+                                                help_text='To indicate that this project is to collect De-ID Model annotations')
+    enable_entity_annotation_comments = models.BooleanField(default=False,
+                                                            help_text="Enable to allow annotators to leave comments"
+                                                                      " for each annotation")
+    tasks = models.ManyToManyField('MetaTask', blank=True, default=None,
+                                   help_text='The set of MetaAnnotation tasks configured for this project, '
+                                             'this will default to the set of Tasks configured in a ModelPack '
+                                             'if a model pack is used for the project')
+    relations = models.ManyToManyField('Relation', blank=True, default=None,
+                                       help_text='Relations that will be available for this project')
+
+    def save(self, *args, **kwargs):
+        if self.model_pack is None and (self.concept_db is None or self.vocab is None):
+            raise ValidationError('Must set at least the ModelPack or a Concept Database and Vocab Pair')
+        if self.model_pack and (self.concept_db is not None or self.vocab is not None):
+            raise ValidationError('Cannot set model pack and ConceptDB or a Vocab. You must use one or the other.')
+        if self.deid_model_annotation and self.model_pack is None:
+            raise ValidationError('Must set a DeID ModelPack for De-ID Model Annotation, cannot only set a cdb / vocab pair as'
+                                  ' not be a DeId model')
+        super().save(*args, **kwargs)
+
+
+class ProjectAnnotateEntities(Project, ProjectAnnotateEntitiesFields):
+    """
+    Class for any single ProjectAnnotateEntities model fields that should not be inherited by ProjectGroup
+    In practise its unlikely further fields are needed.
+    """
+    pass
+
+
+class ProjectGroup(ProjectFields, ProjectAnnotateEntitiesFields):
+    administrators = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                            help_text="The set of users that will have visibility of all "
+                                                      "projects in this project group", related_name='administrators')
+    annotators = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                        help_text="The set of users that will each be provided an annotation project",
+                                        related_name='annotators')
+    cdb_search_filter = models.ManyToManyField('ConceptDB', blank=True,
+                                               help_text='The CDB that will be used for concept lookup. '
+                                                         'This specific CDB should have been "imported" '
+                                                         'via the CDB admin screen',
+                                               related_name='project_group_concept_source')
+    create_associated_projects = models.BooleanField(default=True,
+                                                     help_text='This only functions on new Project Group entries. '
+                                                               ' If creating a new Project Group and this is checked, '
+                                                               'it will create a ProjectAnnotateEntities for each'
+                                                               ' annotator. If unchecked it will not create associated'
+                                                               ' ProjectAnnotateEntities instead, leaving the admin to '
+                                                               ' manually configure groups of projects.')
+
+    def __str__(self):
+        return self.name
+
+
+class MetaAnnotation(models.Model):
+    annotated_entity = models.ForeignKey('AnnotatedEntity', on_delete=models.CASCADE)
+    meta_task = models.ForeignKey('MetaTask', on_delete=models.CASCADE)
+    meta_task_value = models.ForeignKey('MetaTaskValue', on_delete=models.CASCADE)
+    acc = models.FloatField(default=1)
+    predicted_meta_task_value = models.ForeignKey('MetaTaskValue', on_delete=models.CASCADE,
+                                                  help_text='meta annotation predicted by a MetaAnnotationModel',
+                                                  null=True, blank=True, related_name="predicted_value")
+    validated = models.BooleanField(help_text='If an annotation is not ', default=False)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.annotated_entity.last_modified = self.last_modified
+        self.annotated_entity.save()
+
+    def __str__(self):
+        return str(self.annotated_entity)
+
+
+class ExportedProject(models.Model):
+    trainer_export_file = models.FileField(help_text='Previously exported MedCATtrainer .json file')
+    import_project_name_suffix = models.CharField(max_length=100, default=' IMPORTED', help_text='The suffix to be added to the project name')
+    members = models.ManyToManyField(settings.AUTH_USER_MODEL, blank=True, default=None, help_text='The annotators for the project')
+    cdb_id = models.ForeignKey('ConceptDB', on_delete=models.SET_NULL, blank=True, null=True, default=None, help_text='The ConceptDB to be set for this exported project')
+    vocab_id = models.ForeignKey('Vocabulary', on_delete=models.SET_NULL, blank=True, null=True, default=None, help_text='The Vocabulary to be set for this exported project')
+    modelpack_id = models.ForeignKey('ModelPack', on_delete=models.SET_NULL, blank=True, null=True, default=None, help_text='The ModelPack to be set for this exported project')
+    cdb_search_filter_id = models.ForeignKey('ConceptDB', on_delete=models.SET_NULL, blank=True, null=True, default=None, help_text='The CDB that will be used for concept lookup. '
+                                                         'This specific CDB should have been "imported" '
+                                                         'via the CDB admin screen', related_name='concept_source_exported_project')
+    set_validated_docs = models.BooleanField(default=False, help_text='Whether to set the validated documents, e.g. their annotation submit status.')
+
+
+
+    def __str__(self):
+        return f'{self.trainer_export_file.name} - {self.cdb_id} - {self.vocab_id} - {self.modelpack_id}'
+
+
+class ProjectMetrics(models.Model):
+    report_name_generated = models.TextField(help_text='report name that links this metrics report to a previously '
+                                                       'ran bg task')
+    report_name = models.TextField(help_text='A user specified report name that should be more user friendly than '
+                                             'the generated one')
+    report = models.FileField(help_text='the outputted metrics for configured')
+    projects = models.ManyToManyField('ProjectAnnotateEntities', blank=True)
+
+    def __str__(self):
+        return f'generated report name: {self.report_name}, user specified report name:f{self.report_name}'
+
+
+@receiver(models.signals.post_delete, sender=ConceptDB)
+def auto_delete_cdb_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'cdb_file')
+
+
+@receiver(models.signals.post_delete, sender=Vocabulary)
+def auto_delete_vocab_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'vocab_file')
+
+
+@receiver(models.signals.post_delete, sender=Dataset)
+def auto_delete_dataset_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'original_file')
+
+
+def _remove_file(instance, prop):
+    if getattr(instance, prop):
+        if os.path.isfile(getattr(instance, prop).path):
+            os.remove(getattr(instance, prop).path)
+
+
+class MedCATLoadException(Exception):
+    def __init__(self, message):
+        super().__init__(message)
diff --git a/medcat-trainer/webapp/api/api/oidc_utils.py b/medcat-trainer/webapp/api/api/oidc_utils.py
new file mode 100644
index 000000000..93bb6d4eb
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/oidc_utils.py
@@ -0,0 +1,37 @@
+from django.contrib.auth import get_user_model
+import secrets
+
+def get_user_by_email(request, id_token):
+    """
+    Resolve or create a Django user using the email claim from OIDC.
+    """
+    User = get_user_model()
+    email = id_token.get('email')
+    username = id_token.get('preferred_username')
+    print(id_token)
+    roles = []
+    if 'realm_access' in id_token:
+        roles = id_token['realm_access'].get('roles', [])
+
+    is_superuser = 'medcattrainer_superuser' in roles
+    is_staff = 'medcattrainer_staff' in roles
+
+    user, created = User.objects.get_or_create(
+        email=email,
+        defaults={
+            "username": username,
+            "first_name": id_token.get("given_name", ""),
+            "last_name": id_token.get("family_name", ""),
+            "is_active": True,
+            "password": secrets.token_urlsafe(32),
+        },
+    )
+
+    user.username = username
+    user.first_name = id_token.get("given_name", "")
+    user.last_name = id_token.get("family_name", "")
+    user.is_superuser = is_superuser
+    user.is_staff = is_staff
+
+    user.save()
+    return user
diff --git a/medcat-trainer/webapp/api/api/permissions.py b/medcat-trainer/webapp/api/api/permissions.py
new file mode 100644
index 000000000..e8995c01f
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/permissions.py
@@ -0,0 +1,11 @@
+from rest_framework import permissions
+
+class IsReadOnly(permissions.BasePermission):
+    """
+    Object-level permission to only allow read-only operations.
+    """
+
+    def has_permission(self, request, view):
+        # Read permissions are allowed to any request,
+        # so we'll always allow GET, HEAD or OPTIONS requests.
+        return request.method in permissions.SAFE_METHODS
diff --git a/medcat-trainer/webapp/api/api/serializers.py b/medcat-trainer/webapp/api/api/serializers.py
new file mode 100644
index 000000000..89ff70fea
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/serializers.py
@@ -0,0 +1,133 @@
+import json
+import logging
+
+from django.contrib.auth.models import User
+from rest_framework.fields import FileField
+from rest_framework.serializers import Serializer
+
+from .models import *
+from rest_framework import serializers
+
+
+logger = logging.getLogger(__name__)
+
+class UserSerializer(serializers.HyperlinkedModelSerializer):
+    class Meta:
+        model = User
+        fields = ['url', 'username', 'email', 'id', 'is_staff', 'is_superuser']
+
+
+class EntitySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Entity
+        fields = '__all__'
+
+
+class RelationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Relation
+        fields = '__all__'
+
+
+class EntityRelationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = EntityRelation
+        fields = '__all__'
+
+
+class ModelPackSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ModelPack
+        fields = '__all__'
+
+
+class MetaCATModelSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaCATModel
+        fields = '__all__'
+
+
+class ConceptDBSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ConceptDB
+        fields = '__all__'
+
+
+class VocabularySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Vocabulary
+        fields = '__all__'
+
+
+class DatasetSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Dataset
+        fields = '__all__'
+
+
+class ProjectAnnotateEntitiesSerializer(serializers.ModelSerializer):
+    cuis_file = serializers.FileField(write_only=True, required=False)
+    
+    class Meta:
+        model = ProjectAnnotateEntities
+        fields = '__all__'
+
+    def to_representation(self, instance):
+        data = super(ProjectAnnotateEntitiesSerializer, self).to_representation(instance)
+        try:
+            cuis_from_file = json.load(open(instance.cuis_file.path)) if instance.cuis_file else []
+        except FileNotFoundError:
+            logger.warning('cuis file %s cannot be found. Project: %s will fail to load. File '
+                           'needs to be cleared and re-uploaded to load project', instance.cuis_file,
+                           instance.name)
+            cuis_from_file = []
+        cui_list = [s.strip() for s in data['cuis'].split(',')] + cuis_from_file if len(data['cuis']) > 0 else cuis_from_file
+        data['cuis'] = ','.join(cui_list)
+        return data
+
+
+class ProjectGroupSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ProjectGroup
+        fields = '__all__'
+
+    def to_representation(self, instance):
+        # enrich with other fields? last_modified etc.?
+        data = super(ProjectGroupSerializer, self).to_representation(instance)
+        projects = ProjectAnnotateEntities.objects.filter(group=instance)
+        if len(projects) > 0:
+            projects = sorted(projects, key=lambda p: p.last_modified, reverse=True)
+            data['last_modified'] = projects[0].last_modified
+        else:
+            data['last_modified'] = None
+        return data
+
+
+class DocumentSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Document
+        fields = '__all__'
+
+
+class AnnotatedEntitySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = AnnotatedEntity
+        fields = '__all__'
+
+
+class MetaAnnotationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaAnnotation
+        fields = '__all__'
+
+
+class MetaTaskSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaTask
+        fields = '__all__'
+
+
+class MetaTaskValueSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaTaskValue
+        fields = '__all__'
diff --git a/medcat-trainer/webapp/api/api/signals.py b/medcat-trainer/webapp/api/api/signals.py
new file mode 100644
index 000000000..576e5045d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/signals.py
@@ -0,0 +1,97 @@
+import json
+import logging
+import os
+import shutil
+
+from django.core.exceptions import ObjectDoesNotExist, ValidationError
+from django.db.models.fields.files import FileField
+from django.db.models.signals import post_save, post_delete, pre_save, m2m_changed, pre_delete
+from django.dispatch import receiver
+
+from api.data_utils import dataset_from_file, delete_orphan_docs, upload_projects_export
+from api.models import Dataset, ExportedProject, ModelPack, ProjectFields, ProjectAnnotateEntitiesFields, MetaTask, \
+    ProjectAnnotateEntities
+from core.settings import MEDIA_ROOT
+
+
+logger = logging.getLogger(__name__)
+
+
+@receiver(post_save, sender=Dataset)
+def save_dataset(sender, instance, **kwargs):
+    dataset_from_file(instance)
+
+
+@receiver(pre_save, sender=Dataset)
+def pre_save_dataset(sender, instance, **kwargs):
+    if instance.id:
+        delete_orphan_docs(instance)
+        remove_dataset_file(sender, instance, **kwargs)
+
+
+@receiver(post_delete, sender=Dataset)
+def remove_dataset_file(sender, instance, **kwargs):
+    """
+    Removes corresponding file from Dataset.original_file FileField.
+    """
+    if instance.original_file:
+        if os.path.isfile(instance.original_file.path):
+            os.remove(instance.original_file.path)
+
+
+@receiver(post_save, sender=ExportedProject)
+def save_exported_projects(sender, instance, **kwargs):
+    if not instance.trainer_export_file.path.endswith('.json'):
+        raise Exception("Please make sure the file is a .json file")
+    cdb = instance.cdb_id
+    vocab = instance.vocab_id
+    modelpack = instance.modelpack_id
+
+    cdb = None if cdb is None else cdb.id
+    vocab = None if vocab is None else vocab.id
+    modelpack = None if modelpack is None else modelpack.id
+
+    upload_projects_export(
+        json.load(open(instance.trainer_export_file.path)),
+        cdb_id=cdb,
+        vocab_id=vocab,
+        modelpack_id=modelpack)
+
+
+@receiver(pre_delete, sender=ModelPack)
+def remove_model_pack_meta_cat_models(sender, instance, **kwargs):
+    if len(instance.meta_cats.all()) > 0:
+        for m_c in instance.meta_cats.all():
+            m_c.delete(using=None, keep_parents=False)
+
+
+@receiver(post_delete, sender=ModelPack)
+def remove_model_pack_assets(sender, instance, **kwargs):
+    try:
+        if instance.concept_db:
+            instance.concept_db.delete(using=None, keep_parents=False)
+    except ObjectDoesNotExist:
+        pass  # if a ConceptDB of a model pack is removed, this will cascade ModelPack removal.
+    try:
+        if instance.vocab:
+            instance.vocab.delete(using=None, keep_parents=False)
+    except ObjectDoesNotExist:
+        pass  # if a vocab of a model pack is removed, this will cascade ModelPack removal.
+
+    try:
+        # rm the model pack unzipped dir & model pack zip
+        shutil.rmtree(instance.model_pack.path.replace(".zip", ""))
+        os.remove(instance.model_pack.path)
+    except FileNotFoundError:
+        logger.warning("Failure removing Model pack dir or zip. Not found. Likely already deleted")
+
+
+def project_tasks_changed(sender, instance, action, **kwargs):
+    # post_remove or post_add actions, overwrite to model_pack supplied MetaCAT tasks.
+    if (action.startswith('post') and type(instance) is ProjectAnnotateEntitiesFields and
+            instance.model_pack is not None):
+        instance.tasks.set([MetaTask.objects.filter(prediction_model_id=meta_cat.id).first() for meta_cat in
+                            instance.model_pack.meta_cats.all()])
+
+
+m2m_changed.connect(project_tasks_changed, sender=ProjectAnnotateEntitiesFields.tasks.through)
diff --git a/medcat-trainer/webapp/api/api/solr_utils.py b/medcat-trainer/webapp/api/api/solr_utils.py
new file mode 100644
index 000000000..58e8c04a6
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/solr_utils.py
@@ -0,0 +1,216 @@
+import json
+import logging
+import re
+from typing import List, Dict
+
+import requests
+from django.http import HttpResponseServerError
+from medcat.cdb import CDB
+from medcat.cdb.concepts import CUIInfo
+from rest_framework.response import Response
+
+from api.models import ConceptDB
+from core.settings import SOLR_HOST, SOLR_PORT
+
+SOLR_INDEX_SCHEMA = {}
+
+logger = logging.getLogger(__name__)
+
+
+def _cache_solr_collection_schema_types(collection):
+    url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection}/schema'
+    logger.info(f'Retrieving solr schema: {url}')
+    try:
+        resp = json.loads(requests.get(url).text)
+        cui_type = [n for n in resp['schema']['fields'] if n['name'] == 'cui'][0]['type']
+        # just store cui type for the time being
+        SOLR_INDEX_SCHEMA[collection] = {'cui': cui_type}
+    except ConnectionError as e:
+        logger.error(f'Error connecting to solr search service to retrieve schema for collection: {collection}')
+        raise e
+
+
+def collections_available(cdbs: List[int]):
+    url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/admin/collections?action=LIST'
+    logger.info(f'Retrieving all SOLR collections: {url}')
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        collections = json.loads(resp.text)['collections']
+        # cache schema field types
+        for col in collections:
+            _cache_solr_collection_schema_types(col)
+        current_collections_cdb_ids = [c.split('_id_')[-1] for c in collections]
+        if len(cdbs):
+            return Response({'results': {cdb_id: cdb_id in current_collections_cdb_ids for cdb_id in cdbs}})
+        else:
+            return Response({'results': {cdb_id: {'imported': False, 'index_name': col}
+                                         for cdb_id, col in zip(current_collections_cdb_ids, collections)}})
+    else:
+        return HttpResponseServerError('Error requesting solr concept search collection list')
+
+
+def _process_result_repsonse(resp: Dict):
+    uniq_results_map = {}
+    docs = [d for d in resp['response']['docs']]
+    for d in docs:
+        if d['cui'][0] not in uniq_results_map:
+            parsed_doc = {
+                'cui': str(d['cui'][0]),
+                'pretty_name': d['pretty_name'][0],
+                'type_ids': d.get('type_ids', []),
+                'synonyms': d['synonyms']
+            }
+            uniq_results_map[d['cui'][0]] = parsed_doc
+    return uniq_results_map
+
+
+def search_collection(cdbs: List[int], raw_query: str):
+    query = raw_query.strip().replace(r'\s+', r'\s').split(' ')
+    if len(query) == 1 and query[0] == '':
+        return Response({'results': []})
+    res = []
+    if len(cdbs) > 0:
+        uniq_results_map = {}
+        for cdb in cdbs:
+            cdb_model = ConceptDB.objects.get(id=cdb)
+            collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+            if collection_name not in SOLR_INDEX_SCHEMA:
+                _cache_solr_collection_schema_types(collection_name)
+            try:
+                query_num = int(query[0])
+                query_str = f'cui:{query_num}'
+            except ValueError:
+                # cannot be a cui if multi-word, OR single word, not a numeric cui
+                query_str = f'name:"{" ".join(query)}"^2 synonyms:"{" ".join(query)}"'
+                if len(query) == 1 and SOLR_INDEX_SCHEMA[collection_name]['cui'] != 'plongs':
+                    # single word, alphanumeric cui type.
+                    query_str = f'cui:{query[0]} ' + query_str
+
+            solr_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection_name}/select?q.op=OR&q={query_str}&rows=15'
+            logger.info(f'Searching solr collection: {solr_url}')
+            resp = json.loads(requests.get(solr_url).text)
+
+            if 'error' in resp:
+                return HttpResponseServerError(f'Concept Search Index {collection_name} not available, '
+                                               f'import concept DB first before trying to search it.')
+            elif len(resp['response']['docs']) == 0:
+                # try with wildcards at the end of the entire query, rather than each token
+                fallback_query = f'name:{" ".join(query)}* synonyms:{" ".join(query)}*'
+                solr_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection_name}/select?q.op=OR&q={fallback_query}&rows=15'
+                logger.info(f'Searching solr collection with fall back query at url: {solr_url}')
+                resp = json.loads(requests.get(solr_url).text)
+                uniq_results_map.update(_process_result_repsonse(resp))
+            else:
+                uniq_results_map.update(_process_result_repsonse(resp))
+
+        res = sorted(uniq_results_map.values(), key=lambda r: len(r['pretty_name']))
+    return Response({'results': res})
+
+
+def import_all_concepts(cdb: CDB, cdb_model: ConceptDB):
+    collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+
+    # check if solr collections already exists.
+    url = f'{base_url}/admin/collections?action=LIST'
+    resp = requests.get(url)
+    if resp.status_code != 200:
+        logger.error("Error connecting to Solr to retrieve current collection list")
+        raise Exception("Error connecting to Solr to retrieve current collection list")
+
+    collections = json.loads(resp.text)['collections']
+    if collection_name in collections:
+        # delete collection
+        url = f'{base_url}/admin/collections?action=DELETE&name={collection_name}'
+        requests.get(url)
+
+    # create solr collections.
+    url = f'{base_url}/admin/collections?action=CREATE&name={collection_name}&numShards=1'
+    resp = requests.get(url)
+    if resp.status_code != 200:
+        _solr_error_response(resp, 'Failure creating collection')
+
+    cui2info_iter = iter(cdb.cui2info.items())
+
+    payload = []
+    try:
+        while True:
+            for i in range(5000):
+                cui, info = next(cui2info_iter)
+                concept_dct = _concept_dct(cui, cdb, info)
+                payload.append(concept_dct)
+            _upload_payload(f'{base_url}/{collection_name}/update', payload, collection_name)
+            payload = []
+    except StopIteration:
+        # upload last update
+        _upload_payload(f'{base_url}/{collection_name}/update', payload, collection_name, commit=True)
+
+    # get final collection size
+    logger.info(f'Successfully uploaded {cdb_model.name} cuis / names to solr collection {collection_name}')
+
+    resp = requests.get(f'{base_url}/{collection_name}/select?q=*:*&rows=0')
+    logger.info(f'{json.loads(resp.text)["response"]["numFound"]} Concepts now searchable')
+
+
+def drop_collection(cdb_model: ConceptDB):
+    collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+    url = f'{base_url}/admin/collections?action=DELETE&name={collection_name}'
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        logger.info(f'Successfullly dropped concept collection:{collection_name}')
+    else:
+        logger.warning(f'Error dropping concept collection {collection_name}, error: {resp.text}')
+
+
+def ensure_concept_searchable(cui, cdb: CDB, cdb_model: ConceptDB):
+    """
+    Adds a single cui and associated metadata is available in the assocaited solr search index.
+    Args:
+        cui: concept unique identifier of the concept to make searchable
+        cdb: the MedCAT CDB where the cui can be found
+        cdb_model: the associated Django model instance for the CDB.
+    """
+    collection = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+    url = f'{base_url}/admin/collections?action=LIST'
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        collections = json.loads(resp.text)['collections']
+        data = [_concept_dct(cui, cdb, cdb.cui2info[cui])]
+        if collection in collections:
+            _upload_payload(f'{base_url}/{collection}/update', data, collection, commit=True)
+
+
+def _upload_payload(update_url, data, collection, commit=False):
+    update_url = f'{update_url}?commit=true' if commit else update_url
+    logger.info(f'Uploading {len(data)} to solr collection {collection}')
+    resp = requests.post(update_url, json=data)
+    if resp.status_code == 200:
+        logger.info(f'Successfully uploaded {len(data)} concepts to solr collection {collection}')
+    elif resp.status_code != 200:
+        _solr_error_response(resp, f'error updating {collection}')
+
+
+def _concept_dct(cui: str, cdb: CDB, info: CUIInfo):
+    synonyms = list(info['original_names'] or [])
+    concept_dct = {
+        'cui': str(cui),
+        'pretty_name': cdb.get_name(cui),
+        'name': re.sub(r'\([\w+\s]+\)', '', cdb.get_name(cui)).strip(),
+        'type_ids': list(info['type_ids']),
+        'desc': info['description'],
+        'synonyms': synonyms if len(synonyms) > 0 else [cdb.get_name(cui)]
+    }
+    return concept_dct
+
+
+def _solr_error_response(resp, error_msg):
+    try:
+        error = json.loads(resp.text)['error']
+    except Exception as e:
+        logger.error(f'{error_msg}: unknown error')
+        raise e
+    error_msg = f'{error_msg}: solr error: {error}'
+    logger.error(error_msg)
+    raise Exception(error_msg)
diff --git a/medcat-trainer/webapp/api/api/tests.py b/medcat-trainer/webapp/api/api/tests.py
new file mode 100644
index 000000000..7ce503c2d
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/tests.py
@@ -0,0 +1,3 @@
+from django.test import TestCase
+
+# Create your tests here.
diff --git a/medcat-trainer/webapp/api/api/urls.py b/medcat-trainer/webapp/api/api/urls.py
new file mode 100644
index 000000000..3d2c02829
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/urls.py
@@ -0,0 +1,5 @@
+from django.contrib import admin
+from django.urls import path
+from .views import *
+
+urlpatterns = []
diff --git a/medcat-trainer/webapp/api/api/utils.py b/medcat-trainer/webapp/api/api/utils.py
new file mode 100644
index 000000000..483370d48
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/utils.py
@@ -0,0 +1,310 @@
+import json
+import logging
+import os
+from typing import List
+
+from background_task import background
+from django.contrib.auth.models import User
+from django.db import transaction
+from django.db.models.signals import post_save
+from django.dispatch import receiver
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.components.ner.trf.deid import DeIdModel
+from medcat.tokenizing.tokens import UnregisteredDataPathException
+
+from .model_cache import get_medcat
+from .models import Entity, AnnotatedEntity, ProjectAnnotateEntities, \
+    MetaAnnotation, MetaTask, Document
+
+logger = logging.getLogger('trainer')
+
+
+def remove_annotations(document, project, partial=False):
+    try:
+        if partial:
+            # Removes only the ones that are not validated
+            AnnotatedEntity.objects.filter(project=project,
+                                           document=document,
+                                           validated=False).delete()
+            logger.debug(f"Unvalidated Annotations removed for:{document.id}")
+        else:
+            # Removes everything
+            AnnotatedEntity.objects.filter(project=project, document=document).delete()
+            logger.debug(f"All Annotations removed for:{document.id}")
+    except Exception as e:
+        logger.debug(f"Something went wrong: {e}")
+
+
+def add_annotations(spacy_doc, user, project, document, existing_annotations, cat):
+    spacy_doc.linked_ents.sort(key=lambda x: len(x.text), reverse=True)
+
+    tkns_in = []
+    ents = []
+    existing_annos_intervals = [(ann.start_ind, ann.end_ind) for ann in existing_annotations]
+    # all MetaTasks and associated values
+    # that can be produced are expected to have available models
+    try:
+        metatask2obj = {task_name: MetaTask.objects.get(name=task_name)
+                        for task_name in spacy_doc.linked_ents[0].get_addon_data('meta_cat_meta_anns').keys()}
+        metataskvals2obj = {task_name: {v.name: v for v in MetaTask.objects.get(name=task_name).values.all()}
+                            for task_name in spacy_doc.linked_ents[0].get_addon_data('meta_cat_meta_anns').keys()}
+    except (AttributeError, IndexError, UnregisteredDataPathException):
+        # IndexError: ignore if there are no annotations in this doc
+        # AttributeError: ignore meta_anns that are not present - i.e. non model pack preds
+        # or model pack preds with no meta_anns
+        metatask2obj = {}
+        metataskvals2obj = {}
+        pass
+
+    def check_ents(ent):
+        return any((ea[0] < ent.start_char_index < ea[1]) or
+                   (ea[0] < ent.end_char_index < ea[1]) for ea in existing_annos_intervals)
+
+    def check_filters(cui, filters):
+        if cui in filters.cuis or not filters.cuis:
+            return cui not in filters.cuis_exclude
+        else:
+            return False
+
+    for ent in spacy_doc.linked_ents:
+        if not check_ents(ent) and check_filters(ent.cui, cat.config.components.linking.filters):
+            to_add = True
+            for tkn in ent:
+                if tkn in tkns_in:
+                    to_add = False
+            if to_add:
+                for tkn in ent:
+                    tkns_in.append(tkn)
+                ents.append(ent)
+
+    logger.debug('Found %s annotations to store', len(ents))
+    for ent in ents:
+        logger.debug('Processing annotation ent %s of %s', ents.index(ent), len(ents))
+        label = ent.cui
+
+        if not Entity.objects.filter(label=label).exists():
+            # Create the entity
+            entity = Entity()
+            entity.label = label
+            entity.save()
+        else:
+            entity = Entity.objects.get(label=label)
+
+        ann_ent = AnnotatedEntity.objects.filter(project=project,
+                                                  document=document,
+                                                  start_ind=ent.start_char_index,
+                                                  end_ind=ent.end_char_index).first()
+        if ann_ent is None:
+            # If this entity doesn't exist already
+            ann_ent = AnnotatedEntity()
+            ann_ent.user = user
+            ann_ent.project = project
+            ann_ent.document = document
+            ann_ent.entity = entity
+            ann_ent.value = ent.text
+            ann_ent.start_ind = ent.start_char_index
+            ann_ent.end_ind = ent.end_char_index
+            ann_ent.acc = ent.context_similarity
+
+            MIN_ACC = cat.config.components.linking.similarity_threshold
+            if ent.context_similarity < MIN_ACC:
+                ann_ent.deleted = True
+                ann_ent.validated = True
+
+            ann_ent.save()
+
+            # TODO: Fix before v2 release.
+            # check the ent.get_addon_data('meta_cat_meta_anns') if it exists
+            # if hasattr(ent, 'get_addon_data') and \
+            #            len(metatask2obj) > 0 and
+            #            len(metataskvals2obj) > 0:
+            #     logger.debug('Found %s meta annos on ent', len(ent._.meta_anns.items()))
+            #     for meta_ann_task, pred in ent._.meta_anns.items():
+            #         meta_anno_obj = MetaAnnotation()
+            #         meta_anno_obj.predicted_meta_task_value = metataskvals2obj[meta_ann_task][pred['value']]
+            #         meta_anno_obj.meta_task = metatask2obj[meta_ann_task]
+            #         meta_anno_obj.annotated_entity = ann_ent
+            #         meta_anno_obj.meta_task_value = metataskvals2obj[meta_ann_task][pred['value']]
+            #         meta_anno_obj.acc = pred['confidence']
+            #         meta_anno_obj.save()
+            #         logger.debug('Successfully saved %s', meta_anno_obj)
+
+
+def clear_cdb_cnf_addons(cdb: CDB, cdb_id: str | int):
+    # NOTE: when loading a CDB separately, we don't necessarily want to
+    #       load / create addons like MetaCAT as well
+    logger.info('Clearing addons for CDB upon load: %s', cdb_id)
+    cdb.config.components.addons.clear()
+
+
+def get_create_cdb_infos(cdb, concept, cui, cui_info_prop, code_prop, desc_prop, model_clazz):
+    codes = [c[code_prop] for c in cdb.cui2info.get(cui, {}).get(cui_info_prop, []) if code_prop in c]
+    existing_codes = model_clazz.objects.filter(code__in=codes)
+    codes_to_create = set(codes) - set([c.code for c in existing_codes])
+    for code in codes_to_create:
+        new_code = model_clazz()
+        new_code.code = code
+        descs = [c[desc_prop] for c in cdb.cui2info[cui][cui_info_prop]
+                 if c[code_prop] == code]
+        if len(descs) > 0:
+            new_code.desc = [c[desc_prop] for c in cdb.cui2info[cui][cui_info_prop]
+                             if c[code_prop] == code][0]
+            new_code.cdb = concept.cdb
+            new_code.save()
+    return model_clazz.objects.filter(code__in=codes)
+
+
+def _remove_overlap(project, document, start, end):
+    anns = AnnotatedEntity.objects.filter(project=project, document=document)
+
+    for ann in anns:
+        if (start <= ann.start_ind <= end) or (start <= ann.end_ind <= end):
+            logger.debug("Removed %s ", str(ann))
+            ann.delete()
+
+
+def create_annotation(source_val: str, selection_occurrence_index: int, cui: str, user: User,
+                      project: ProjectAnnotateEntities, document, cat: CAT):
+    text = document.text
+    id = None
+
+    all_occurrences_start_idxs = []
+    idx = 0
+    while idx != -1:
+        idx = text.find(source_val, idx)
+        if idx != -1:
+            all_occurrences_start_idxs.append(idx)
+            idx += len(source_val)
+
+    start = all_occurrences_start_idxs[selection_occurrence_index]
+
+    if start is not None and len(source_val) > 0 and len(cui) > 0:
+        # Remove overlaps
+        end = start + len(source_val)
+        _remove_overlap(project, document, start, end)
+
+        cnt = Entity.objects.filter(label=cui).count()
+        if cnt == 0:
+            # Create the entity
+            entity = Entity()
+            entity.label = cui
+            entity.save()
+        else:
+            entity = Entity.objects.get(label=cui)
+
+        ann_ent = AnnotatedEntity()
+        ann_ent.user = user
+        ann_ent.project = project
+        ann_ent.document = document
+        ann_ent.entity = entity
+        ann_ent.value = source_val
+        ann_ent.start_ind = start
+        ann_ent.end_ind = end
+        ann_ent.acc = 1
+        ann_ent.validated = True
+        ann_ent.manually_created = True
+        ann_ent.correct = True
+        ann_ent.save()
+        id = ann_ent.id
+
+    return id
+
+
+def train_medcat(cat, project, document):
+    # Get all annotations
+    anns = AnnotatedEntity.objects.filter(project=project, document=document, validated=True, killed=False)
+    text = document.text
+    spacy_doc = cat(text)
+
+    if len(anns) > 0 and text is not None and len(text) > 5:
+        for ann in anns:
+            cui = ann.entity.label
+            # Indices for this annotation
+            spacy_entity = [tkn for tkn in spacy_doc if tkn.char_index == ann.start_ind]
+            # This will add the concept if it doesn't exist and if it
+            # does just link the new name to the concept, if the namee is
+            # already linked then it will just train.
+            manually_created = False
+            if ann.manually_created or ann.alternative:
+                manually_created = True
+
+            cat.trainer.add_and_train_concept(
+                cui=cui,
+                name=ann.value,
+                mut_doc=spacy_doc,
+                mut_entity=spacy_entity,
+                negative=ann.deleted,
+                devalue_others=manually_created
+            )
+
+    # Completely remove concept names that the user killed
+    killed_anns = AnnotatedEntity.objects.filter(project=project, document=document, killed=True)
+    for ann in killed_anns:
+        cui = ann.entity.label
+        name = ann.value
+        cat.trainer.unlink_concept_name(cui=cui, name=name)
+
+    # Add irrelevant cuis to cui_exclude
+    irrelevant_anns = AnnotatedEntity.objects.filter(project=project, document=document, irrelevant=True)
+    for ann in irrelevant_anns:
+        cui = ann.entity.label
+        if 'cuis_exclude' not in cat.config.components.linking.filters:
+            cat.config.components.linking.filters['cuis_exclude'] = set()
+        cat.config.components.linking.filters.get('cuis_exclude').update([cui])
+
+
+@background(schedule=1, queue='doc_prep')
+def prep_docs(project_id: List[int], doc_ids: List[int], user_id: int):
+    user = User.objects.get(id=user_id)
+    project = ProjectAnnotateEntities.objects.get(id=project_id)
+    docs = Document.objects.filter(id__in=doc_ids)
+
+    logger.info('Loading CAT object in bg process for project: %s', project.id)
+    cat = get_medcat(project=project)
+
+    # Set CAT filters
+    cat.config.components.linking.filters.cuis = project.cuis
+
+    for doc in docs:
+        logger.info(f'Running MedCAT model for project {project.id}:{project.name} over doc: {doc.id}')
+        if not project.deid_model_annotation:
+            spacy_doc = cat(doc.text)
+        else:
+            deid = DeIdModel(cat)
+            spacy_doc = deid(doc.text)
+        anns = AnnotatedEntity.objects.filter(document=doc).filter(project=project)
+        with transaction.atomic():
+            add_annotations(spacy_doc=spacy_doc,
+                            user=user,
+                            project=project,
+                            document=doc,
+                            cat=cat,
+                            existing_annotations=anns)
+            # add doc to prepared_documents
+        project.prepared_documents.add(doc)
+    project.save()
+    logger.info('Prepared all docs for project: %s, docs processed: %s',
+                project.id, project.prepared_documents)
+
+
+@receiver(post_save, sender=ProjectAnnotateEntities)
+def save_project_anno(sender, instance, **kwargs):
+    if instance.cuis_file:
+        post_save.disconnect(save_project_anno, sender=ProjectAnnotateEntities)
+        cuis_from_file = json.load(open(instance.cuis_file.path))
+        cui_list = [c.strip() for c in instance.cuis.split(',')]
+        instance.cuis = ','.join(set(cui_list) - set(cuis_from_file))
+        instance.save()
+        post_save.connect(save_project_anno, sender=ProjectAnnotateEntities)
+
+
+
+def env_str_to_bool(var: str, default: bool):
+    val = os.environ.get(var, default)
+    if isinstance(val, str):
+        if val.lower() in ('1', 'true', 't', 'y'):
+            return True
+        elif val.lower() in ('0', 'false', 'f', 'n'):
+            return False
+    return val
diff --git a/medcat-trainer/webapp/api/api/views.py b/medcat-trainer/webapp/api/api/views.py
new file mode 100644
index 000000000..b2e5215ae
--- /dev/null
+++ b/medcat-trainer/webapp/api/api/views.py
@@ -0,0 +1,962 @@
+import os
+import traceback
+from smtplib import SMTPException
+from tempfile import NamedTemporaryFile
+
+from background_task.models import Task, CompletedTask
+from django.contrib.auth.views import PasswordResetView
+from django.core.exceptions import ObjectDoesNotExist
+from django.db import transaction
+from django.http import HttpResponseBadRequest, HttpResponseServerError, HttpResponse
+from django.shortcuts import render
+from django.utils import timezone
+from django_filters import rest_framework as drf
+from medcat.utils.cdb_utils import ch2pt_from_pt2ch, get_all_ch, snomed_ct_concept_path
+from rest_framework import viewsets
+from rest_framework.decorators import api_view
+from rest_framework.response import Response
+from medcat.components.ner.trf.deid import DeIdModel
+
+from .admin import download_projects_with_text, download_projects_without_text, \
+    import_concepts_from_cdb
+from .data_utils import upload_projects_export
+from .metrics import calculate_metrics
+from .model_cache import get_medcat, get_cached_cdb, VOCAB_MAP, clear_cached_medcat, CAT_MAP, CDB_MAP, is_model_loaded
+from .permissions import *
+from .serializers import *
+from .solr_utils import collections_available, search_collection, ensure_concept_searchable
+from .utils import add_annotations, remove_annotations, train_medcat, create_annotation, prep_docs
+
+# For local testing, put envs
+"""
+from environs import Env
+env = Env()
+env.read_env("/home/ubuntu/projects/MedAnno/MedAnno/env_umls", recurse=False)
+print(os.environ)
+"""
+
+logger = logging.getLogger(__name__)
+
+
+# Get the basic version of MedCAT
+cat = None
+
+def index(request):
+    return render(request, 'index.html')
+
+
+class TextInFilter(drf.BaseInFilter, drf.CharFilter):
+    pass
+class NumInFilter(drf.BaseInFilter, drf.NumberFilter):
+    pass
+
+
+class UserViewSet(viewsets.ModelViewSet):
+    """
+    API endpoint that allows users to be viewed or edited.
+    """
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put']
+    queryset = User.objects.all().order_by('-date_joined')
+    serializer_class = UserSerializer
+
+    filterset_fields = ['username']
+
+
+class ProjectAnnotateEntitiesViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put']
+    queryset = ProjectAnnotateEntities.objects.all()
+    serializer_class = ProjectAnnotateEntitiesSerializer
+    filterset_fields = ['members', 'dataset', 'id', 'project_status', 'annotation_classification']
+
+    def get_queryset(self):
+        user = self.request.user
+        if user.is_superuser:
+            projects = ProjectAnnotateEntities.objects.all()
+        else:
+            projects = ProjectAnnotateEntities.objects.filter(members=user.id)
+
+        return projects
+
+
+class ProjectGroupFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = ProjectGroup
+        fields = ['id', 'name', 'description']
+
+class ProjectGroupViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = ProjectGroup.objects.all()
+    serializer_class = ProjectGroupSerializer
+    filterset_fields = ['id']
+    filterset_class = ProjectGroupFilter
+
+
+class AnnotatedEntityFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = AnnotatedEntity
+        fields = ['id', 'user', 'project', 'document', 'entity', 'validated',
+                  'deleted']
+
+
+class AnnotatedEntityViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = AnnotatedEntity.objects.all()
+    serializer_class = AnnotatedEntitySerializer
+    filterset_class = AnnotatedEntityFilter
+
+
+class MetaTaskValueViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put']
+    queryset = MetaTaskValue.objects.all()
+    serializer_class = MetaTaskValueSerializer
+
+
+class MetaTaskViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put']
+    queryset = MetaTask.objects.all()
+    serializer_class = MetaTaskSerializer
+
+
+class MetaAnnotationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put', 'delete']
+    queryset = MetaAnnotation.objects.all()
+    serializer_class = MetaAnnotationSerializer
+    filterset_fields = ['id', 'annotated_entity', 'validated']
+
+
+class DocumentViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = Document.objects.all()
+    serializer_class = DocumentSerializer
+    filterset_fields = ['dataset']
+
+
+class EntityViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head']
+    queryset = Entity.objects.all()
+    serializer_class = EntitySerializer
+
+
+class RelationFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = Relation
+        fields = ['label']
+
+
+class RelationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head']
+    queryset = Relation.objects.all()
+    serializer_class = RelationSerializer
+    filterset_class = RelationFilter
+
+
+class EntityRelationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put', 'head', 'delete']
+    queryset = EntityRelation.objects.all()
+    serializer_class = EntityRelationSerializer
+    filterset_fields = ['project', 'document']
+
+
+class ConceptDBViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = ConceptDB.objects.all()
+    serializer_class = ConceptDBSerializer
+
+    def perform_create(self, serializer):
+        serializer.save(last_modified_by=self.request.user)
+
+
+class VocabularyViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = Vocabulary.objects.all()
+    serializer_class = VocabularySerializer
+
+
+class ModelPackViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = ModelPack.objects.all()
+    serializer_class = ModelPackSerializer
+
+
+class DatasetViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post']
+    queryset = Dataset.objects.all()
+    serializer_class = DatasetSerializer
+
+
+class ResetPasswordView(PasswordResetView):
+    email_template_name = 'password_reset_email.html'
+    subject_template_name = 'password_reset_subject.txt'
+    def post(self, request, *args, **kwargs):
+        try:
+            return super().post(request, *args, **kwargs)
+        except SMTPException:
+            return HttpResponseServerError('''SMTP settings are not configured correctly. <br>
+                                           Please visit https://medcattrainer.readthedocs.io for more information to resolve this. <br>
+                                           You can also ask a question at: https://discourse.cogstack.org/c/medcat/5''')
+
+class ResetPasswordView(PasswordResetView):
+    email_template_name = 'password_reset_email.html'
+    subject_template_name = 'password_reset_subject.txt'
+    def post(self, request, *args, **kwargs):
+        try:
+            return super().post(request, *args, **kwargs)
+        except SMTPException:
+            return HttpResponseServerError('''SMTP settings are not configured correctly. <br>
+                                           Please visit https://medcattrainer.readthedocs.io for more information to resolve this. <br>
+                                           You can also ask a question at: https://discourse.cogstack.org/c/medcat/5''')
+
+@api_view(http_method_names=['GET'])
+def get_anno_tool_conf(_):
+    return Response({k: v for k, v in os.environ.items()})
+
+
+@api_view(http_method_names=['POST'])
+def prepare_documents(request):
+    # Get the user
+    user = request.user
+    # Get doc ids
+    d_ids = request.data['document_ids']
+
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+
+    # Is the entity creation forced
+    force = request.data.get('force', 0)
+
+    # Should we update
+    update = request.data.get('update', 0)
+
+    cuis = set()
+    if project.cuis is not None and project.cuis:
+        cuis = set([str(cui).strip() for cui in project.cuis.split(",")])
+    if project.cuis_file is not None and project.cuis_file:
+        # Add cuis from json file if it exists
+        try:
+            cuis.update(json.load(open(project.cuis_file.path)))
+        except FileNotFoundError:
+            return Response({'message': 'Missing CUI filter file',
+                                   'description': 'Missing CUI filter file, %s, cannot be found on the filesystem, '
+                                                  'but is still set on the project. To fix remove and reset the '
+                                                  'cui filter file' % project.cuis_file}, status=500)
+    try:
+        for d_id in d_ids:
+            document = Document.objects.get(id=d_id)
+            if force:
+                # Remove all annotations if creation is forced
+                remove_annotations(document, project, partial=False)
+            elif update:
+                # Remove annotations that are not verified if creation is update
+                remove_annotations(document, project, partial=True)
+
+            # Get annotated entities
+            anns = AnnotatedEntity.objects.filter(document=document).filter(project=project)
+
+            is_validated = document in project.validated_documents.all()
+
+            with transaction.atomic():
+                # If the document is not already annotated, annotate it
+                if (len(anns) == 0 and not is_validated) or update:
+                    # Based on the project id get the right medcat
+                    cat = get_medcat(project=project)
+                    logger.info('loaded medcat model for project: %s', project.id)
+
+                    # Set CAT filters
+                    cat.config.components.linking.filters.cuis = cuis
+
+                    if not project.deid_model_annotation:
+                        spacy_doc = cat(document.text)
+                    else:
+                        deid = DeIdModel(cat)
+                        spacy_doc = deid(document.text)
+
+                    spacy_doc = cat(document.text)
+
+                    add_annotations(spacy_doc=spacy_doc,
+                                    user=user,
+                                    project=project,
+                                    document=document,
+                                    cat=cat,
+                                    existing_annotations=anns)
+
+                # add doc to prepared_documents
+                project.prepared_documents.add(document)
+                project.save()
+
+    except Exception as e:
+        logger.warning('Error preparing documents for project %s', p_id, exc_info=e)
+        stack = traceback.format_exc()
+        return Response({'message': e.args[0] if len(e.args) > 0 else 'Internal Server Error',
+                         'description': e.args[1] if len(e.args) > 1 else '',
+                         'stacktrace': stack}, status=500)
+    return Response({'message': 'Documents prepared successfully'})
+
+
+@api_view(http_method_names=['POST'])
+def prepare_documents_bg(request):
+    user = request.user
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    docs = Document.objects.filter(dataset=project.dataset)
+
+    # Get docs that have no AnnotatedEntities
+    d_ids = [d.id for d in docs if len(AnnotatedEntity.objects.filter(document=d).filter(project=project)) == 0 or
+             d in project.validated_documents.all()]
+
+    # execute model infer in bg
+    job = prep_docs(p_id, d_ids, user.id)
+    return Response({'bg_job_id': job.id})
+
+
+@api_view(http_method_names=['GET'])
+def prepare_docs_bg_tasks(_):
+    running_doc_prep_tasks = Task.objects.filter(queue='doc_prep')
+    completed_doc_prep_tasks = CompletedTask.objects.filter(queue='doc_prep')
+
+    def transform_task_params(task_params_str):
+        task_params = json.loads(task_params_str)[0]
+        return {
+            'project': task_params[0],
+            'user_id': task_params[2]
+        }
+    running_tasks = [transform_task_params(task.task_params) for task in running_doc_prep_tasks]
+    complete_tasks = [transform_task_params(task.task_params) for task in completed_doc_prep_tasks]
+    return Response({'running_tasks': running_tasks, 'comp_tasks': complete_tasks})
+
+
+@api_view(http_method_names=['GET', 'DELETE'])
+def prepare_docs_bg_task(request, proj_id):
+    if request.method == 'GET':
+        # state of bg running process as determined by prepared docs
+        try:
+            proj = ProjectAnnotateEntities.objects.get(id=proj_id)
+            prepd_docs_count = proj.prepared_documents.count()
+            ds_total_count = Document.objects.filter(dataset=ProjectAnnotateEntities.objects.get(id=proj_id).dataset.id).count()
+            return Response({'proj_id': proj_id, 'dataset_len': ds_total_count, 'prepd_docs_len': prepd_docs_count})
+        except ObjectDoesNotExist:
+            return HttpResponseBadRequest('No Project found for ID: %s', proj_id)
+    else:
+        running_doc_prep_tasks = {json.loads(task.task_params)[0][0]: task.id
+                                  for task in Task.objects.filter(queue='doc_prep')}
+        if proj_id in running_doc_prep_tasks:
+            Task.objects.filter(id=running_doc_prep_tasks[proj_id]).delete()
+            return Response("Successfully stopped running response")
+        else:
+            return HttpResponseBadRequest('Could not find running BG Process to stop')
+
+@api_view(http_method_names=['POST'])
+def add_annotation(request):
+    # Get project id
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+    source_val = request.data['source_value']
+    sel_occur_idx = int(request.data['selection_occur_idx'])
+    cui = str(request.data['cui'])
+
+    logger.debug("Annotation being added")
+    logger.debug(str(request.data))
+
+    # Get project and the right version of cat
+    user = request.user
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+
+    cat = get_medcat(project=project)
+    id = create_annotation(source_val=source_val,
+                           selection_occurrence_index=sel_occur_idx,
+                           cui=cui,
+                           user=user,
+                           project=project,
+                           document=document,
+                           cat=cat)
+    logger.debug('Annotation added.')
+    return Response({'message': 'Annotation added successfully', 'id': id})
+
+
+@api_view(http_method_names=['POST'])
+def add_concept(request):
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+    source_val = request.data['source_value']
+    sel_occur_idx = int(request.data['selection_occur_idx'])
+    name = request.data['name']
+    cui = request.data['cui']
+    context = request.data['context']
+    # TODO These aren't used, but no API in current MedCAT add_name func
+    # Add these fields to the add_name func of MedCAT add_name
+    desc = request.data['desc']
+    type_ids = request.data['type_ids']
+    s_type = request.data['type']
+    synonyms = request.data['synonyms']
+
+    user = request.user
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+    cat = get_medcat(project=project)
+
+    if cui in cat.cdb.cui2names:
+        err_msg = f'Cannot add a concept "{name}" with cui:{cui}. CUI already linked to {cat.cdb.cui2names[cui]}'
+        logger.error(err_msg)
+        return Response({'err': err_msg}, 400)
+
+    spacy_doc = cat(document.text)
+    spacy_entity = None
+    if source_val in spacy_doc.text:
+        start = spacy_doc.text.index(source_val)
+        end = start + len(source_val)
+        spacy_entity = [tkn for tkn in spacy_doc if tkn.idx >= start and tkn.idx <= end]
+
+    cat.trainer.add_and_train_concept(cui=cui, name=name, name_status='P', mut_doc=spacy_doc, mut_entity=spacy_entity)
+
+    id = create_annotation(source_val=source_val,
+                           selection_occurrence_index=sel_occur_idx,
+                           cui=cui,
+                           user=user,
+                           project=project,
+                           document=document,
+                           cat=cat)
+
+    # ensure new concept detail is available in SOLR search service
+    ensure_concept_searchable(cui, cat.cdb, project.concept_db)
+
+    # add to project cuis if required.
+    if (project.cuis or project.cuis_file) and project.restrict_concept_lookup:
+        project.cuis = ','.join(project.cuis.split(',') + [cui])
+        project.save()
+
+    return Response({'message': 'Concept and Annotation added successfully', 'id': id})
+
+
+@api_view(http_method_names=['POST'])
+def import_cdb_concepts(request):
+    user = request.user
+    if not user.is_superuser:
+        return HttpResponseBadRequest('User is not super user, and not allowed to download project outputs')
+    cdb_id = request.data.get('cdb_id')
+    if cdb_id is None or len(ConceptDB.objects.filter(id=cdb_id)) == 0:
+        return HttpResponseBadRequest(f'No CDB found for cdb_id{cdb_id}')
+    import_concepts_from_cdb(cdb_id)
+    return Response({'message': 'submitted cdb import job.'})
+
+
+def _submit_document(project: ProjectAnnotateEntities, document: Document):
+    if project.train_model_on_submit:
+        cat = get_medcat(project=project)
+        train_medcat(cat, project, document)
+
+    # Add cuis to filter if they did not exist
+    cuis = []
+
+    if project.cuis_file is not None and project.cuis_file:
+        cuis = cuis + json.load(open(project.cuis_file.path))
+    if project.cuis is not None and project.cuis:
+        cuis = cuis + [str(cui).strip() for cui in project.cuis.split(",")]
+
+    cuis = set(cuis)
+    if len(cuis) > 0:  # only append to project cuis filter if there is a filter to begin with.
+        anns = AnnotatedEntity.objects.filter(project=project, document=document, validated=True)
+        extra_doc_cuis = [ann.entity.label for ann in anns if ann.validated and (ann.correct or ann.alternative) and
+                          ann.entity.label not in cuis]
+        if extra_doc_cuis:
+            project.cuis += ',' + ','.join(extra_doc_cuis)
+            project.save()
+
+
+@api_view(http_method_names=['POST'])
+def submit_document(request):
+    # Get project id
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+
+    # Get project and the right version of cat
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+
+    try:
+        _submit_document(project, document)
+    except Exception as e:
+        HttpResponseServerError(e.message)
+
+    return Response({'message': 'Document submited successfully'})
+
+
+@api_view(http_method_names=['POST'])
+def save_models(request):
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    cat = get_medcat(project=project)
+
+    cat.cdb.save(project.concept_db.cdb_file.path)
+
+    return Response({'message': 'Models saved'})
+
+
+@api_view(http_method_names=['POST'])
+def get_create_entity(request):
+    label = request.data['label']
+    cnt = Entity.objects.filter(label=label).count()
+    id = 0
+    if cnt == 0:
+        ent = Entity()
+        ent.label = label
+        ent.save()
+        id = ent.id
+    else:
+        ent = Entity.objects.get(label=label)
+        id = ent.id
+
+    return Response({'entity_id': id})
+
+
+@api_view(http_method_names=['POST'])
+def create_dataset(request):
+    """
+    Upload a dataset and kick off document creation for each Doc. The dataset should be dict of form:
+    {
+        'name': ['name1', 'name2', 'name3', ... ],
+        'text': ['text1...', 'text2...', 'text3...', ... ]
+    }
+    Args:
+        request: the HTTP request
+    Response:
+        An HTTP resonse with the id of the created dataset
+    """
+    filename = f'{request.data["dataset_name"]}.csv'
+    logger.debug(request.data['dataset'])
+    ds = Dataset()
+    ds.name = request.data['dataset_name']
+    ds.description = request.data.get('description', 'n/a')
+    with NamedTemporaryFile(mode='r+') as f:
+        pd.DataFrame(request.data['dataset']).to_csv(f, index=False)
+        ds.original_file.save(filename, f)
+    logger.debug(f'Saved new dataset:{ds.original_file.path}')
+    id = ds.id
+    return Response({'dataset_id': id})
+
+
+@api_view(http_method_names=['GET', 'POST'])
+def update_meta_annotation(request):
+    project_id = request.data['project_id']
+    entity_id = request.data['entity_id']
+    document_id = request.data['document_id']
+    meta_task_id = request.data['meta_task_id']
+    meta_task_value = request.data['meta_task_value']
+
+    annotation = AnnotatedEntity.objects.filter(project= project_id, entity=entity_id, document=document_id)[0]
+    annotation.correct = True
+    annotation.validated = True
+    logger.debug(annotation)
+
+    annotation.save()
+
+    meta_task = MetaTask.objects.filter(id = meta_task_id)[0]
+    meta_task_value = MetaTaskValue.objects.filter(id = meta_task_value)[0]
+
+    meta_annotation_list = MetaAnnotation.objects.filter(annotated_entity = annotation)
+
+    logger.debug(meta_annotation_list)
+
+    if len(meta_annotation_list) > 0:
+        meta_annotation = meta_annotation_list[0]
+
+        meta_annotation.meta_task = meta_task
+        meta_annotation.meta_task_value = meta_task_value
+
+    else:
+        meta_annotation = MetaAnnotation()
+        meta_annotation.annotated_entity = annotation
+        meta_annotation.meta_task = meta_task
+        meta_annotation.meta_task_value = meta_task_value
+
+    logger.debug(meta_annotation)
+    meta_annotation.save()
+
+    return Response({'meta_annotation': 'added meta annotation'})
+
+
+@api_view(http_method_names=['POST'])
+def annotate_text(request):
+    p_id = request.data['project_id']
+    message = request.data['message']
+    cuis = request.data['cuis']
+    if message is None or p_id is None:
+        return HttpResponseBadRequest('No message to annotate')
+
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+
+    cat = get_medcat(project=project)
+    cat.config.components.linking.filters.cuis = set(cuis)
+    spacy_doc = cat(message)
+
+    ents = []
+    anno_tkns = []
+    for ent in spacy_doc.linked_ents:
+        cnt = Entity.objects.filter(label=ent.cui).count()
+        inc_ent = all(tkn not in anno_tkns for tkn in ent)
+        if inc_ent and cnt != 0:
+            anno_tkns.extend([tkn for tkn in ent])
+            entity = Entity.objects.get(label=ent.cui)
+            ents.append({
+                'entity': entity.id,
+                'value': ent.base.text,
+                'start_ind': ent.base.start_char_index,
+                'end_ind': ent.base.end_char_index,
+                'acc': ent.context_similarity
+            })
+
+    ents.sort(key=lambda e: e['start_ind'])
+    out = {'message': message, 'entities': ents}
+    return Response(out)
+
+
+@api_view(http_method_names=['GET'])
+def download_annos(request):
+    user = request.user
+    if not user.is_superuser:
+        return HttpResponseBadRequest('User is not super user, and not allowed to download project outputs')
+
+    p_ids = str(request.GET['project_ids']).split(',')
+    with_text_flag = request.GET.get('with_text', False)
+
+    if p_ids is None or len(p_ids) == 0:
+        return HttpResponseBadRequest('No projects to download annotations')
+
+    projects = ProjectAnnotateEntities.objects.filter(id__in=p_ids)
+
+    with_doc_name = request.GET.get('with_doc_name', False)
+    out = download_projects_with_text(projects) if with_text_flag else \
+        download_projects_without_text(projects, with_doc_name)
+    return out
+
+
+@api_view(http_method_names=['GET'])
+def behind_reverse_proxy(_):
+    return Response(bool(int(os.environ.get('BEHIND_RP', False))))
+
+
+@api_view(http_method_names=['GET'])
+def version(_):
+    return Response(os.environ.get('MCT_VERSION', ':latest'))
+
+
+@api_view(http_method_names=['GET'])
+def concept_search_index_available(request):
+    cdb_ids = request.GET.get('cdbs', '').split(',')
+    cdb_ids = [c for c in cdb_ids if len(c)]
+    try:
+        return collections_available(cdb_ids)
+    except Exception as e:
+        logger.error("Failed to search for concept_search_index. Solr Search Service not available", exc_info=e)
+        return HttpResponseServerError("Solr Search Service not available check the service is up, running "
+                                       "and configured correctly", e)
+
+
+@api_view(http_method_names=['GET'])
+def search_solr(request):
+    query = request.GET.get('search')
+    cdbs = request.GET.get('cdbs').split(',')
+    return search_collection(cdbs, query)
+
+
+@api_view(http_method_names=['POST'])
+def upload_deployment(request):
+    deployment_export = request.data
+    deployment_upload = deployment_export['exported_projects']
+    cdb_id = deployment_export.get('cdb_id', None)
+    vocab_id = deployment_export.get('vocab_id', None)
+    modelpack_id = deployment_export.get('modelpack_id', None)
+    project_name_suffix = deployment_export.get('project_name_suffix', ' IMPORTED')
+    set_validated_docs = deployment_export.get('set_validated_docs', False)
+    cdb_search_filter_id = deployment_export.get('cdb_search_filter', None)
+    members = deployment_export.get('members', None)
+    import_project_name_suffix = deployment_export.get('import_project_name_suffix', ' IMPORTED')
+
+    if all(x is None for x in [cdb_id, vocab_id, modelpack_id]):
+        return Response("No cdb, vocab, or modelpack provided", 400)
+
+    try:
+        upload_projects_export(deployment_upload,
+                                cdb_id,
+                                vocab_id,
+                                modelpack_id,
+                                project_name_suffix,
+                                cdb_search_filter_id,
+                                members,
+                                import_project_name_suffix,
+                                set_validated_docs)
+        return Response("successfully uploaded", 200)
+    except Exception as e:
+        logger.error(f"Failed to upload projects export: {str(e)}", exc_info=e)
+        return Response(f"Failed to upload projects export: {e.message}", 500)
+
+
+@api_view(http_method_names=['GET', 'DELETE'])
+def cache_model(request, project_id):
+    try:
+        project = ProjectAnnotateEntities.objects.get(id=project_id)
+        is_loaded = is_model_loaded(project)
+        if request.method == 'GET':
+            if not is_loaded:
+                get_medcat(project)
+            return Response('success', 200)
+        elif request.method == 'DELETE':
+            if is_loaded:
+                clear_cached_medcat(project)
+            return Response('success', 200)
+        else:
+            return Response(f'Invalid method', 404)
+    except ProjectAnnotateEntities.DoesNotExist:
+        return Response(f'Project with id:{project_id} does not exist', 404)
+    except Exception as e:
+        return Response({'message': f'{str(e)}'}, 500)
+
+
+
+@api_view(http_method_names=['GET'])
+def model_loaded(_):
+    models_loaded = {}
+    for p in ProjectAnnotateEntities.objects.all():
+        models_loaded[p.id] = is_model_loaded(p)
+
+    return Response({'model_states': models_loaded})
+
+
+@api_view(http_method_names=['GET', 'POST'])
+def metrics_jobs(request):
+    dt_fmt = '%Y-%m-%d %H:%M:%S'
+    if request.method == 'GET':
+        running_metrics_tasks_qs = Task.objects.filter(queue='metrics')
+        completed_metrics_tasks = CompletedTask.objects.filter(queue='metrics')
+
+        def serialize_task(task, state):
+            return {
+                'report_id': task.id,
+                'report_name_generated': task.verbose_name,
+                'projects': task.verbose_name.split('-')[1].split('_'),
+                'created_user': task.creator.username,
+                'create_time': task.run_at.strftime(dt_fmt),
+                'status': state
+            }
+        running_reports = [serialize_task(t, 'running') for t in running_metrics_tasks_qs]
+        for r, t in zip(running_reports, running_metrics_tasks_qs):
+            if t.locked_by is None and t.locked_by_pid_running() is None:
+                r['status'] = 'pending'
+
+        comp_reports = [serialize_task(t, 'complete') for t in completed_metrics_tasks]
+        for comp_task, comp_rep in zip(completed_metrics_tasks, comp_reports):
+            pm_obj = ProjectMetrics.objects.filter(report_name_generated=comp_task.verbose_name).first()
+            if pm_obj is not None and pm_obj.report_name is not None:
+                comp_rep['report_name'] = pm_obj.report_name
+        reports = running_reports + comp_reports
+        return Response({'reports': reports})
+    elif request.method == 'POST':
+        now = timezone.now()
+        user = request.user
+        p_ids = request.data.get('projectIds').split(',')
+        projects = ProjectAnnotateEntities.objects.filter(id__in=p_ids)
+
+        # provide warning of inconsistent models used or for models that are not loaded.
+        p_cdbs = set(p.concept_db for p in projects)
+        if len(p_cdbs) > 1:
+            logger.warning('Inconsistent CDBs used in the generation of metrics - should use the same CDB for '
+                           f'consistent results - found {[cdb.name for cdb in p_cdbs]} - metrics will only use the first'
+                           f' CDB {projects[0].concept_db.name}')
+
+        report_name = f'metrics-{"_".join(p_ids)}-{now.strftime(dt_fmt)}'
+        submitted_job = calculate_metrics([p.id for p in projects],
+                                          verbose_name=report_name,
+                                          creator=user,
+                                          report_name=report_name)
+        return Response({'metrics_job_id': submitted_job.id, 'metrics_job_name': report_name})
+
+
+@api_view(http_method_names=['DELETE'])
+def remove_metrics_job(request, report_id: int):
+    running_metrics_tasks_qs = {t.id: t for t in Task.objects.filter(queue='metrics')}
+    completed_metrics_tasks = {t.id: t for t in CompletedTask.objects.filter(queue='metrics')}
+    if report_id in running_metrics_tasks_qs:
+        # remove completed task and associated report
+        task = running_metrics_tasks_qs[report_id]
+        if task.locked_by and task.locked_by_pid_running():
+            logger.info('Will not kill running process - report ID: %s', report_id)
+            return Response(503, 'Unable to remove a running metrics report job. Please wait until it '
+                                 'completes then remove.')
+        else:
+            logger.info('Metrics job deleted - report ID: %s', report_id)
+    elif report_id in completed_metrics_tasks:
+        task = completed_metrics_tasks[report_id]
+        try:
+            pm = ProjectMetrics.objects.filter(report_name_generated=task.verbose_name).first()
+            if os.path.isfile(pm.report.path):
+                os.remove(pm.report.path)
+            pm.delete()
+        except Exception as e:
+            pass
+        task.delete()
+        logger.info('Completed metrics job deleted - report ID: %s', report_id)
+        return Response('task / report deleted', 200)
+
+
+@api_view(http_method_names=['GET', 'PUT'])
+def view_metrics(request, report_id):
+    if request.method == 'GET':
+        running_pending_report = Task.objects.filter(id=report_id, queue='metrics').first()
+        completed_report = CompletedTask.objects.filter(id=report_id, queue='metrics').first()
+        if running_pending_report is None and completed_report is None:
+            HttpResponseBadRequest(f'Cannot find report_id:{report_id} in either pending, running or complete report lists. ')
+        elif running_pending_report is not None:
+            HttpResponseBadRequest(f'Cannot view a running or pending metrics report with id:{report_id}')
+        pm_obj = ProjectMetrics.objects.filter(report_name_generated=completed_report.verbose_name).first()
+        out = {
+            'results': {
+                'report_name': pm_obj.report_name,
+                'report_name_generated': pm_obj.report_name_generated,
+                **json.load(open(pm_obj.report.path))
+            }
+        }
+        return Response(out)
+    elif request.method == 'PUT':
+        completed_report = CompletedTask.objects.filter(id=report_id, queue='metrics').first()
+        pm_obj = ProjectMetrics.objects.filter(report_name_generated=completed_report.verbose_name).first()
+        pm_obj.report_name = request.data.get('report_name')
+        pm_obj.save()
+        return Response(200)
+
+
+@api_view(http_method_names=['GET'])
+def cdb_cui_children(request, cdb_id):
+    parent_cui = request.GET.get('parent_cui')
+    cdb = get_cached_cdb(cdb_id, CDB_MAP)
+
+    # root SNOMED CT code: 138875005
+    # root UMLS code: CUI:
+
+    if cdb.addl_info.get('pt2ch') is None:
+        return HttpResponseBadRequest('Requested MedCAT CDB model does not include parent2child metadata to'
+                                      ' explore a concept hierarchy')
+
+    # currently assumes this is using the SNOMED CT terminology
+    try:
+        root_term = {'cui': '138875005', 'pretty_name': cdb.cui2info['138875005']['preferred_name']}
+        if parent_cui is None:
+            return Response({'results': [root_term]})
+        else:
+            child_concepts = [{'cui': cui, 'pretty_name': cdb.cui2info[cui]['preferred_name']}
+                              for cui in cdb.addl_info.get('pt2ch')[parent_cui]]
+            return Response({'results': child_concepts})
+    except KeyError:
+        return Response({'results': []})
+
+
+@api_view(http_method_names=['GET'])
+def cdb_concept_path(request):
+    cdb_id = int(request.GET.get('cdb_id'))
+    cdb = get_cached_cdb(cdb_id, CDB_MAP)
+    if not cdb.addl_info.get('ch2pt'):
+        cdb.addl_info['ch2pt'] = ch2pt_from_pt2ch(cdb)
+    cui = request.GET.get('cui')
+    # Again only SNOMED CT is supported
+    # 'cui': '138875005',
+    result = snomed_ct_concept_path(cui, cdb)
+    return Response({'results': result})
+
+
+@api_view(http_method_names=['POST'])
+def generate_concept_filter_flat_json(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    excluded_nodes = request.data.get('excluded_nodes', [])
+    if cuis is not None and cdb_id is not None:
+        cdb = get_cached_cdb(cdb_id, CDB_MAP)
+        # get all children from 'parent' concepts above.
+        final_filter = []
+        for cui in cuis:
+            ch_nodes = get_all_ch(cui, cdb)
+            final_filter += [n for n in ch_nodes if n not in excluded_nodes]
+        final_filter = {cui:1 for cui in final_filter}.keys()
+        filter_json = json.dumps(final_filter)
+        response = HttpResponse(filter_json, content_type='application/json')
+        response['Content-Disposition'] = 'attachment; filename=filter.json'
+        return response
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot generate filter.')
+
+
+@api_view(http_method_names=['POST'])
+def generate_concept_filter(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    if cuis is not None and cdb_id is not None:
+        cdb = get_cached_cdb(cdb_id, CDB_MAP)
+        # get all children from 'parent' concepts above.
+        final_filter = {}
+        for cui in cuis:
+            final_filter[cui] = [{'cui': c, 'pretty_name': cdb.cui2info[cui]['preferred_name']} for c in get_all_ch(cui, cdb)
+                                 if c in cdb.cui2info[cui]['preferred_name'] and c != cui]
+        resp = {'filter_len': sum(len(f) for f in final_filter.values()) + len(final_filter.keys())}
+        if resp['filter_len'] < 10000:
+            # only send across concept filters that are small enough to render
+            resp['filter'] = final_filter
+        return Response(resp)
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot generate filter.')
+
+
+@api_view(http_method_names=['POST'])
+def cuis_to_concepts(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    if cdb_id is not None:
+        if cuis is not None:
+            cdb = get_cached_cdb(cdb_id, CDB_MAP)
+            concept_list = [{'cui': cui, 'name': cdb.cui2info[cui]['preferred_name']} for cui in cuis]
+            resp = {'concept_list': concept_list}
+            return Response(resp)
+        else:
+            cdb = get_cached_cdb(cdb_id, CDB_MAP)
+            concept_list = [{'cui': cui, 'name': cdb.cui2info[cui]['preferred_name']} for cui in cdb.cui2info.keys()]
+            resp = {'concept_list': concept_list}
+            return Response(resp)
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot produce concept list.')
+
+
+@api_view(http_method_names=['GET'])
+def project_progress(request):
+    if request.GET.get('projects') is None:
+        return HttpResponseBadRequest('Cannot get progress for empty projects')
+
+    projects = [int(p) for p in request.GET.get('projects', []).split(',')]
+
+    projects2datasets = {p.id: (p, p.dataset) for p in [ProjectAnnotateEntities.objects.filter(id=p_id).first()
+                                                        for p_id in projects]}
+
+    out = {}
+    ds_doc_counts = {}
+    for p, (proj, ds) in projects2datasets.items():
+        val_docs = proj.validated_documents.count()
+        ds_doc_count = ds_doc_counts.get(ds.id)
+        if ds_doc_count is None:
+            ds_doc_count = Document.objects.filter(dataset=ds).count()
+            ds_doc_counts[ds.id] = ds_doc_count
+        out[p] = {'validated_count': val_docs, 'dataset_count': ds_doc_count}
+
+    return Response(out)
diff --git a/medcat-v1/medcat/tokenizers/__init__.py b/medcat-trainer/webapp/api/core/__init__.py
similarity index 100%
rename from medcat-v1/medcat/tokenizers/__init__.py
rename to medcat-trainer/webapp/api/core/__init__.py
diff --git a/medcat-trainer/webapp/api/core/settings.py b/medcat-trainer/webapp/api/core/settings.py
new file mode 100644
index 000000000..465f72a35
--- /dev/null
+++ b/medcat-trainer/webapp/api/core/settings.py
@@ -0,0 +1,284 @@
+"""
+Django settings for MedCATtrainer project.
+
+Generated by 'django-admin startproject' using Django 2.2.3.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/2.2/topics/settings/
+
+For the full list of settings and their values, see
+https://docs.djangoproject.com/en/2.2/ref/settings/
+"""
+import logging
+import os
+import sys
+
+log = logging.getLogger(__name__)
+
+DEFAULT_AUTO_FIELD = 'django.db.models.AutoField'
+
+# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+environ_origins = os.environ.get('CSRF_TRUSTED_ORIGINS', '')
+trusted_origins = [origin.strip() for origin in environ_origins.split(',') if origin.strip()]
+
+CSRF_TRUSTED_ORIGINS = ['http://127.0.0.1:8001', 'http://localhost:8001'] + trusted_origins
+
+SECURE_CROSS_ORIGIN_OPENER_POLICY = None
+
+# SECURITY WARNING: keep the secret key used in production secret!
+realm = os.environ.get('ENV', 'non-prod')
+secret_key = os.environ.get('SECRET_KEY')
+if realm == 'prod' and secret_key is None:
+    msg = 'No SECRET_KEY environment variable found for prod environment. Please add a secret key and re-run'
+    log.error(msg)
+    sys.exit(msg)
+else:
+    log.info('Running non-prod environment, defaulting django SECRET_KEY')
+    SECRET_KEY = 'q$&esydgbn2=#-k5s5i(+^dtxs1@$50_(ln0wuw@zig4m&^m7='
+
+# SECURITY WARNING: don't run with debug turned on in production!
+try:
+    DEBUG = bool(int(os.environ.get('DEBUG', 1)))
+    if realm == 'prod' and DEBUG:
+        log.warning('Running in prod realm with DEBUG=True, are you sure you want to do that?')
+except ValueError as e:
+    log.error('Error parsing DEBUG env, setting DEBUG to True. DEBUG env var should be set to 0 (false) or 1 (true).')
+    DEBUG = True
+
+ALLOWED_HOSTS = ['*']
+
+APPEND_SLASH = True
+
+USE_OIDC = os.getenv('USE_OIDC', '').lower() == '1'
+
+# Application definition
+
+INSTALLED_APPS = [
+    'django.contrib.admin',
+    'django.contrib.auth',
+    'django.contrib.contenttypes',
+    'django.contrib.sessions',
+    'django.contrib.messages',
+    'django.contrib.staticfiles',
+    'rest_framework',
+    'rest_framework.authtoken',
+    'django_filters',
+    'background_task',
+    'api',
+    'health_check',
+    'health_check.contrib.db_heartbeat',
+    'health_check.contrib.migrations',
+]
+
+MIDDLEWARE = [
+    'django.middleware.security.SecurityMiddleware',
+    'django.contrib.sessions.middleware.SessionMiddleware',
+    'django.middleware.common.CommonMiddleware',
+    'django.middleware.csrf.CsrfViewMiddleware',
+    'django.contrib.auth.middleware.AuthenticationMiddleware',
+    'django.contrib.messages.middleware.MessageMiddleware',
+    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+]
+
+ROOT_URLCONF = 'core.urls'
+
+TEMPLATES = [
+    {
+        'BACKEND': 'django.template.backends.django.DjangoTemplates',
+        'DIRS': [
+            os.path.join(BASE_DIR, "..", "frontend", "dist"),
+            os.path.join(BASE_DIR, "..", "templates", "registration")
+        ],
+        'APP_DIRS': True,
+        'OPTIONS': {
+            'context_processors': [
+                'django.template.context_processors.debug',
+                'django.template.context_processors.request',
+                'django.contrib.auth.context_processors.auth',
+                'django.contrib.messages.context_processors.messages',
+            ],
+        },
+    },
+]
+
+LOGGING = {
+    'version': 1,
+    'disable_existing_loggers': False,
+    'formatters': {
+        'simple': {
+            'format': '{levelname} {asctime} {module}.py l:{lineno}:{message}',
+            'style': '{',
+        },
+    },
+    'handlers': {
+        'console': {
+            'class': 'logging.StreamHandler',
+            'formatter': 'simple',
+        },
+    },
+    'root': {
+        'handlers': ['console'],
+        'level': os.getenv('DJANGO_LOG_LEVEL', 'INFO'),
+    }
+}
+
+
+WSGI_APPLICATION = 'core.wsgi.application'
+
+
+# Database
+# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
+
+db_engine = os.environ.get("DB_ENGINE", "sqlite3").lower()
+if db_engine not in ("sqlite3", "postgresql"):
+    raise ValueError("DB_ENGINE must be 'sqlite3' or 'postgresql'")
+
+if db_engine == "postgresql":
+    DB_NAME = os.environ.get("DB_NAME", "postgres")
+    DB_USER = os.environ.get("DB_USER", "")
+    DB_PASSWORD = os.environ.get("DB_PASSWORD", "")
+    DB_HOST = os.environ.get("DB_HOST", "")
+    DB_PORT = os.environ.get("DB_PORT", "5432")
+    DATABASES = {
+        'default': {
+            'ENGINE': 'django.db.backends.postgresql',
+            'NAME': DB_NAME,
+            'USER': DB_USER,
+            'PASSWORD': DB_PASSWORD,
+            'HOST': DB_HOST,
+            'PORT': DB_PORT,
+        }
+    }
+else:
+    DATABASES = {
+        'default': {
+            'ENGINE': 'django.db.backends.sqlite3',
+            'NAME': os.path.join(BASE_DIR, 'db/db.sqlite3'),
+            'OPTIONS': {
+                'timeout': 20,
+                'transaction_mode': 'IMMEDIATE'
+            }
+        }
+    }
+
+# https://pypi.org/project/django-health-check/
+HEALTH_CHECK = {
+    "SUBSETS": {
+        'startup': ['DatabaseHeartBeatCheck', 'MigrationsHealthCheck'],
+        'live': [],
+        'ready': ['DatabaseHeartBeatCheck'],
+    },
+}
+
+# Password validation
+# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
+
+AUTH_PASSWORD_VALIDATORS = [
+    {
+        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+    },
+]
+
+REST_FRAMEWORK = {
+    'DEFAULT_FILTER_BACKENDS': ['django_filters.rest_framework.DjangoFilterBackend'],
+    'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination',
+    'PAGE_SIZE': 100,
+    'DEFAULT_AUTHENTICATION_CLASSES': [
+        'rest_framework.authentication.TokenAuthentication'
+    ]
+}
+
+if USE_OIDC:
+    log.info("Using OIDC authentication")
+    REST_FRAMEWORK["DEFAULT_AUTHENTICATION_CLASSES"] = [
+        'oidc_auth.authentication.JSONWebTokenAuthentication',
+        'oidc_auth.authentication.BearerTokenAuthentication',
+    ]
+
+OIDC_HOST = os.environ.get("OIDC_HOST", "")
+OIDC_REALM = os.environ.get("OIDC_REALM", "")
+OIDC_FRONTEND_CLIENT_ID = os.environ.get("OIDC_FRONTEND_CLIENT_ID", "")
+
+OIDC_AUTH = {
+    'OIDC_ENDPOINT': f"{OIDC_HOST}/realms/{OIDC_REALM}",
+    'OIDC_CLAIMS_OPTIONS': {
+        'aud': {
+            'values': [
+                'account',
+                OIDC_FRONTEND_CLIENT_ID
+            ],
+            'essential': True,
+        },
+        'iss': {
+            'values': [
+                f"{OIDC_HOST}/realms/{OIDC_REALM}"
+            ],
+            'essential': True,
+        },
+    },
+    'USERINFO_ENDPOINT': f"{OIDC_HOST}/realms/{OIDC_REALM}/protocol/openid-connect/userinfo",
+    'OIDC_CREATE_USER': True,
+    'OIDC_RESOLVE_USER_FUNCTION': 'api.oidc_utils.get_user_by_email',
+}
+
+# Internationalization
+# https://docs.djangoproject.com/en/2.2/topics/i18n/
+
+LANGUAGE_CODE = 'en-us'
+
+TIME_ZONE = 'UTC'
+
+USE_I18N = True
+
+USE_L10N = True
+
+USE_TZ = True
+
+
+# Static files (CSS, JavaScript, Images)
+# https://docs.djangoproject.com/en/2.2/howto/static-files/
+
+MEDIA_URL = '/media/'
+STATIC_URL = '/static/'
+MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
+STATIC_ROOT = os.path.join(BASE_DIR, 'static')
+
+FILE_UPLOAD_PERMISSIONS = 0o644
+
+STATICFILES_DIRS = [
+    os.path.join(BASE_DIR, "..", "frontend", "dist", "static"),
+]
+
+# BG TASKS
+MAX_ATTEMPTS = 1
+MAX_RUN_TIME = 60*60*10
+BACKGROUND_TASK_RUN_ASYNC = True
+BACKGROUND_TASK_ASYNC_THREADS = 4
+
+
+# Solr Concept Search settings
+SOLR_HOST = os.environ.get('CONCEPT_SEARCH_SERVICE_HOST', 'solr')
+SOLR_PORT = os.environ.get('CONCEPT_SEARCH_SERVICE_PORT', '8983')
+
+SILENCED_SYSTEM_CHECKS = ['admin.E130']
+
+# For testing only
+# EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
+
+EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend'
+EMAIL_HOST = os.environ.get('EMAIL_HOST')
+EMAIL_PORT = os.environ.get('EMAIL_PORT')
+EMAIL_HOST_USER = os.environ.get('EMAIL_USER')
+EMAIL_HOST_PASSWORD = os.environ.get('EMAIL_PASS')
+EMAIL_USE_TLS = True
diff --git a/medcat-trainer/webapp/api/core/urls.py b/medcat-trainer/webapp/api/core/urls.py
new file mode 100644
index 000000000..e4165a52f
--- /dev/null
+++ b/medcat-trainer/webapp/api/core/urls.py
@@ -0,0 +1,68 @@
+from django.contrib import admin
+from django.contrib.auth import views as pw_views
+from django.urls import path, include, re_path
+from rest_framework.authtoken import views as auth_views
+from rest_framework import routers
+import api.views
+
+router = routers.DefaultRouter()
+router.register(r'users', api.views.UserViewSet)
+router.register(r'entities', api.views.EntityViewSet)
+router.register(r'project-annotate-entities', api.views.ProjectAnnotateEntitiesViewSet)
+router.register(r'project-groups', api.views.ProjectGroupViewSet)
+router.register(r'documents', api.views.DocumentViewSet)
+router.register(r'annotated-entities', api.views.AnnotatedEntityViewSet)
+router.register(r'meta-annotations', api.views.MetaAnnotationViewSet)
+router.register(r'meta-tasks', api.views.MetaTaskViewSet)
+router.register(r'meta-task-values', api.views.MetaTaskValueViewSet)
+router.register(r'relations', api.views.RelationViewSet)
+router.register(r'entity-relations', api.views.EntityRelationViewSet)
+router.register(r'concept-dbs', api.views.ConceptDBViewSet)
+router.register(r'vocabs', api.views.VocabularyViewSet)
+router.register(r'modelpacks', api.views.ModelPackViewSet)
+router.register(r'datasets', api.views.DatasetViewSet)
+
+
+urlpatterns = [
+    path('api/', include(router.urls)),
+    path('api/health/', include('health_check.urls')),
+    path('api/anno-conf/', api.views.get_anno_tool_conf),
+    path('api/search-concepts/', api.views.search_solr),
+    path('api/prepare-documents/', api.views.prepare_documents),
+    path('api/prepare-documents-bg/', api.views.prepare_documents_bg),
+    path('api/prep-docs-bg-tasks/', api.views.prepare_docs_bg_tasks),
+    path('api/prep-docs-bg-tasks/<int:proj_id>/', api.views.prepare_docs_bg_task),
+    path('api/api-token-auth/', auth_views.obtain_auth_token),
+    path('admin/', admin.site.urls),
+    path('api/api-auth/', include('rest_framework.urls', namespace='rest_framework')),
+    path('api/add-annotation/', api.views.add_annotation),
+    path('api/add-concept/', api.views.add_concept),
+    path('api/import-cdb-concepts/', api.views.import_cdb_concepts),
+    path('api/submit-document/', api.views.submit_document),
+    path('api/save-models/', api.views.save_models),
+    path('api/get-create-entity/', api.views.get_create_entity),
+    path('api/create-dataset/', api.views.create_dataset),
+    path('api/update-meta-annotation/', api.views.update_meta_annotation),
+    path('api/annotate-text/', api.views.annotate_text),
+    path('api/download-annos/', api.views.download_annos),
+    path('api/behind-rp/', api.views.behind_reverse_proxy),
+    path('api/version/', api.views.version),
+    path('api/project-progress/', api.views.project_progress),
+    path('api/concept-db-search-index-created/', api.views.concept_search_index_available),
+    path('api/model-loaded/', api.views.model_loaded),
+    path('api/cache-model/<int:project_id>/', api.views.cache_model),
+    path('api/upload-deployment/', api.views.upload_deployment),
+    path('api/model-concept-children/<int:cdb_id>/', api.views.cdb_cui_children),
+    path('api/metrics/<int:report_id>/', api.views.view_metrics),
+    path('api/metrics-job/', api.views.metrics_jobs),
+    path('api/metrics-job/<int:report_id>/', api.views.remove_metrics_job),
+    path('api/concept-path/', api.views.cdb_concept_path),
+    path('api/generate-concept-filter-json/', api.views.generate_concept_filter_flat_json),
+    path('api/generate-concept-filter/', api.views.generate_concept_filter),
+    path('api/cuis-to-concepts/', api.views.cuis_to_concepts),
+    path('reset_password/', api.views.ResetPasswordView.as_view(), name='reset_password'),
+    path('reset_password_sent/', pw_views.PasswordResetDoneView.as_view(), name='password_reset_done'),
+    path('reset/<uidb64>/<token>', pw_views.PasswordResetConfirmView.as_view(), name='password_reset_confirm'),
+    path('reset_password_complete/', pw_views.PasswordResetCompleteView.as_view(), name='password_reset_complete'),
+    re_path('^.*$', api.views.index, name='index'),  # Match everything else to home
+]
diff --git a/medcat-trainer/webapp/api/core/wsgi.py b/medcat-trainer/webapp/api/core/wsgi.py
new file mode 100644
index 000000000..84259580e
--- /dev/null
+++ b/medcat-trainer/webapp/api/core/wsgi.py
@@ -0,0 +1,16 @@
+"""
+WSGI config for MedCATTrainer project.
+
+It exposes the WSGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
+"""
+
+import os
+
+from django.core.wsgi import get_wsgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
+
+application = get_wsgi_application()
diff --git a/medcat-v1/medcat/utils/__init__.py b/medcat-trainer/webapp/api/db-backup/.keep
similarity index 100%
rename from medcat-v1/medcat/utils/__init__.py
rename to medcat-trainer/webapp/api/db-backup/.keep
diff --git a/medcat-v1/medcat/utils/meta_cat/__init__.py b/medcat-trainer/webapp/api/db/.keep
old mode 100644
new mode 100755
similarity index 100%
rename from medcat-v1/medcat/utils/meta_cat/__init__.py
rename to medcat-trainer/webapp/api/db/.keep
diff --git a/medcat-trainer/webapp/api/manage.py b/medcat-trainer/webapp/api/manage.py
new file mode 100755
index 000000000..84923e444
--- /dev/null
+++ b/medcat-trainer/webapp/api/manage.py
@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+"""Django's command-line utility for administrative tasks."""
+import os
+import sys
+
+
+def main():
+    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
+    try:
+        from django.core.management import execute_from_command_line
+    except ImportError as exc:
+        raise ImportError(
+            "Couldn't import Django. Are you sure it's installed and "
+            "available on your PYTHONPATH environment variable? Did you "
+            "forget to activate a virtual environment?"
+        ) from exc
+    execute_from_command_line(sys.argv)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/medcat-v1/medcat/utils/relation_extraction/__init__.py b/medcat-trainer/webapp/api/media/.keep
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/__init__.py
rename to medcat-trainer/webapp/api/media/.keep
diff --git a/medcat-v1/medcat/utils/relation_extraction/bert/__init__.py b/medcat-trainer/webapp/api/static/.keep
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/bert/__init__.py
rename to medcat-trainer/webapp/api/static/.keep
diff --git a/medcat-trainer/webapp/frontend/.editorconfig b/medcat-trainer/webapp/frontend/.editorconfig
new file mode 100644
index 000000000..ecea360f1
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/.editorconfig
@@ -0,0 +1,6 @@
+[*.{js,jsx,mjs,cjs,ts,tsx,mts,cts,vue}]
+charset = utf-8
+indent_size = 2
+indent_style = space
+insert_final_newline = true
+trim_trailing_whitespace = true
diff --git a/medcat-trainer/webapp/frontend/.env b/medcat-trainer/webapp/frontend/.env
new file mode 100644
index 000000000..52b8dc85a
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/.env
@@ -0,0 +1,9 @@
+# Override this with your .env.production
+# Frontend auth settings
+VITE_USE_OIDC=0
+VITE_KEYCLOAK_URL=http://keycloak.cogstack.localhost/
+VITE_KEYCLOAK_REALM=cogstack-realm
+VITE_KEYCLOAK_CLIENT_ID=cogstack-medcattrainer-frontend
+VITE_KEYCLOAK_TOKEN_REFRESH_INTERVAL_MS=10000
+VITE_KEYCLOAK_TOKEN_MIN_VALIDITY_SECS=30
+VITE_LOGOUT_REDIRECT_URI=http://home.cogstack.localhost/
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/.gitignore b/medcat-trainer/webapp/frontend/.gitignore
new file mode 100644
index 000000000..8ee54e8d3
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/.gitignore
@@ -0,0 +1,30 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+.DS_Store
+dist
+dist-ssr
+coverage
+*.local
+
+/cypress/videos/
+/cypress/screenshots/
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+*.tsbuildinfo
diff --git a/medcat-trainer/webapp/frontend/.prettierrc.json b/medcat-trainer/webapp/frontend/.prettierrc.json
new file mode 100644
index 000000000..effc164a5
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/.prettierrc.json
@@ -0,0 +1,7 @@
+
+{
+  "$schema": "https://json.schemastore.org/prettierrc",
+  "semi": false,
+  "singleQuote": true,
+  "arrowParens": "avoid"
+}
diff --git a/medcat-trainer/webapp/frontend/.vscode/extensions.json b/medcat-trainer/webapp/frontend/.vscode/extensions.json
new file mode 100644
index 000000000..a06a8c699
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/.vscode/extensions.json
@@ -0,0 +1,9 @@
+{
+  "recommendations": [
+    "Vue.volar",
+    "vitest.explorer",
+    "dbaeumer.vscode-eslint",
+    "EditorConfig.EditorConfig",
+    "esbenp.prettier-vscode"
+  ]
+}
diff --git a/medcat-trainer/webapp/frontend/README.md b/medcat-trainer/webapp/frontend/README.md
new file mode 100644
index 000000000..c899cc1e2
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/README.md
@@ -0,0 +1,45 @@
+# frontend2
+
+This template should help get you started developing with Vue 3 in Vite.
+
+## Recommended IDE Setup
+
+[VSCode](https://code.visualstudio.com/) + [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) (and disable Vetur).
+
+## Type Support for `.vue` Imports in TS
+
+TypeScript cannot handle type information for `.vue` imports by default, so we replace the `tsc` CLI with `vue-tsc` for type checking. In editors, we need [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) to make the TypeScript language service aware of `.vue` types.
+
+## Customize configuration
+
+See [Vite Configuration Reference](https://vite.dev/config/).
+
+## Project Setup
+
+```sh
+npm install
+```
+
+### Compile and Hot-Reload for Development
+
+```sh
+npm run dev
+```
+
+### Type-Check, Compile and Minify for Production
+
+```sh
+npm run build
+```
+
+### Run Unit Tests with [Vitest](https://vitest.dev/)
+
+```sh
+npm run test:unit
+```
+
+### Lint with [ESLint](https://eslint.org/)
+
+```sh
+npm run lint
+```
diff --git a/medcat-trainer/webapp/frontend/env.d.ts b/medcat-trainer/webapp/frontend/env.d.ts
new file mode 100644
index 000000000..11f02fe2a
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/env.d.ts
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
diff --git a/medcat-trainer/webapp/frontend/eslint.config.js b/medcat-trainer/webapp/frontend/eslint.config.js
new file mode 100644
index 000000000..40b84cd9d
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/eslint.config.js
@@ -0,0 +1,25 @@
+import pluginVue from 'eslint-plugin-vue'
+import vueTsEslintConfig from '@vue/eslint-config-typescript'
+import pluginVitest from '@vitest/eslint-plugin'
+import skipFormatting from '@vue/eslint-config-prettier/skip-formatting'
+
+export default [
+  {
+    name: 'app/files-to-lint',
+    files: ['**/*.{ts,mts,tsx,vue}'],
+  },
+
+  {
+    name: 'app/files-to-ignore',
+    ignores: ['**/dist/**', '**/dist-ssr/**', '**/coverage/**'],
+  },
+
+  ...pluginVue.configs['flat/essential'],
+  ...vueTsEslintConfig(),
+  
+  {
+    ...pluginVitest.configs.recommended,
+    files: ['src/**/__tests__/*'],
+  },
+  skipFormatting,
+]
diff --git a/medcat-trainer/webapp/frontend/index.html b/medcat-trainer/webapp/frontend/index.html
new file mode 100644
index 000000000..b37c16493
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/index.html
@@ -0,0 +1,16 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8">
+    <link rel="shortcut icon" href="/favicon.ico">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>MedCATTrainer</title>
+          <style>
          .commit-tease,
          .user-profile-mini-avatar,
          .avatar,
          .vcard-details,
          .signup-prompt-bg {
            display: none !IMPORTANT;
          }
        </style>
         <script>
          document.addEventListener('DOMContentLoaded', function() {
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+  <body>
+    <noscript>
+      <strong>We're sorry but MedCATTrainer doesn't work properly without JavaScript enabled. Please enable it to continue.</strong>
+    </noscript>
+    <div id="app"></div>
+    <script type="module" src="/src/main.ts"></script>
+  </body>
+</html>
diff --git a/medcat-trainer/webapp/frontend/package-lock.json b/medcat-trainer/webapp/frontend/package-lock.json
new file mode 100644
index 000000000..3990464d3
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/package-lock.json
@@ -0,0 +1,7736 @@
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+    },
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+      "dev": true,
+      "engines": {
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+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/yoctocolors": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.1.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
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+  }
+}
diff --git a/medcat-trainer/webapp/frontend/package.json b/medcat-trainer/webapp/frontend/package.json
new file mode 100644
index 000000000..33f948d02
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/package.json
@@ -0,0 +1,66 @@
+{
+  "name": "frontend2",
+  "version": "0.0.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "run-p type-check \"build-only {@}\" --",
+    "preview": "vite preview",
+    "test:unit": "vitest",
+    "coverage": "vitest run --coverage",
+    "test:ui": "vitest --ui",
+    "build-only": "vite build",
+    "type-check": "vue-tsc --build --force",
+    "lint": "eslint . --fix",
+    "format": "prettier --write src/"
+  },
+  "dependencies": {
+    "@fortawesome/fontawesome-svg-core": "^6.6.0",
+    "@fortawesome/free-brands-svg-icons": "^6.6.0",
+    "@fortawesome/free-regular-svg-icons": "^6.6.0",
+    "@fortawesome/free-solid-svg-icons": "^6.6.0",
+    "@fortawesome/vue-fontawesome": "^3.0.8",
+    "@ssthouse/vue3-tree-chart": "^0.2.6",
+    "axios": "^1.8.2",
+    "bootstrap": "^5.3.3",
+    "keycloak-js": "^26.2.0",
+    "plotly.js-dist": "^3.0.0",
+    "splitpanes": "^3.1.5",
+    "tiny-emitter": "^2.1.0",
+    "v-runtime-template": "^1.10.0",
+    "vue": "^3.5.12",
+    "vue-cookies": "^1.8.4",
+    "vue-router": "^4.4.5",
+    "vue-select": "^4.0.0-beta.6",
+    "vue-sidebar-menu": "^5.4.2",
+    "vue-simple-context-menu": "^4.1.0",
+    "vue3-runtime-template": "^1.0.2",
+    "vuetify": "^3.7.3"
+  },
+  "devDependencies": {
+    "@tsconfig/node20": "^20.1.4",
+    "@types/jsdom": "^21.1.7",
+    "@types/node": "^20.19.17",
+    "@vitejs/plugin-vue": "^5.1.4",
+    "@vitest/coverage-v8": "^3.2.4",
+    "@vitest/eslint-plugin": "1.1.7",
+    "@vitest/ui": "^3.2.4",
+    "@vue/eslint-config-prettier": "^10.0.0",
+    "@vue/eslint-config-typescript": "^14.1.1",
+    "@vue/test-utils": "^2.4.6",
+    "@vue/tsconfig": "^0.5.1",
+    "c8": "^10.1.3",
+    "eslint": "^9.13.0",
+    "eslint-plugin-vue": "^9.29.0",
+    "jsdom": "^25.0.1",
+    "npm-run-all2": "^7.0.1",
+    "prettier": "^3.3.3",
+    "sass": "1.77.6",
+    "typescript": "~5.6.0",
+    "vite": "^6.3.4",
+    "vite-plugin-vue-devtools": "^7.5.3",
+    "vitest": "^3.2.4",
+    "vue-tsc": "^2.1.6"
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/public/favicon.ico b/medcat-trainer/webapp/frontend/public/favicon.ico
new file mode 100644
index 000000000..df36fcfb7
Binary files /dev/null and b/medcat-trainer/webapp/frontend/public/favicon.ico differ
diff --git a/medcat-trainer/webapp/frontend/src/App.vue b/medcat-trainer/webapp/frontend/src/App.vue
new file mode 100644
index 000000000..f58626418
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/App.vue
@@ -0,0 +1,365 @@
+<template>
+  <div class="full-height">
+    <header class="header-gradient">
+      <div class="header-container">
+        <div class="header-content">
+          <!-- CogStack Branding and App Name -->
+          <div class="branding-section">
+            <div class="logo-container">
+              <img src="./assets/brand-logo.png" alt="CogStack Logo" class="brand-logo" />
+            </div>
+            <div class="divider"></div>
+            <h1 class="app-title" @click="navigateToHome">
+              Med<img src="./assets/cat-logo.png" alt="MedCAT Logo" class="cat-logo" />AT
+            </h1>
+            <span class="version-id">{{ version }}</span>
+
+            <!-- Navigation Links -->
+            <div class="navigation-links">
+              <router-link class="nav-link" to="/">Projects</router-link>
+              <router-link class="nav-link" to="/metrics-reports">Metrics</router-link>
+              <router-link class="nav-link" to="/model-explore">Concepts</router-link>
+              <router-link class="nav-link" to="/demo">Try Model</router-link>
+            </div>
+          </div>
+
+
+
+          <!-- Action Buttons -->
+          <div class="action-buttons">
+            <div class="user-section">
+              <span v-if="!uname" class="login-link" @click="openLogin">Login</span>
+              <span v-else class="user-info">
+                <span class="username">({{ uname }}) <font-awesome-icon icon="user"></font-awesome-icon></span>
+                <span class="logout-link" @click="logout">logout</span>
+              </span>
+            </div>
+          </div>
+        </div>
+      </div>
+    </header>
+    <main class="main-content">
+      <router-view/>
+    </main>
+    <login v-if="!useOidc && loginModal"
+           @login:success="loginSuccessful"
+           :closable="true"
+           @login:close="loginModal=false" />
+  </div>
+</template>
+
+<script>
+import Login from '@/components/common/Login.vue'
+import EventBus from '@/event-bus'
+
+const USE_OIDC = import.meta.env.VITE_USE_OIDC === '1'
+
+export default {
+  name: 'App',
+  components: { Login },
+  data () {
+    return {
+      loginModal: false,
+      uname: null,
+      version: '',
+      useOidc: USE_OIDC,
+    }
+  },
+  methods: {
+    navigateToHome () {
+      this.$router.push('/')
+    },
+
+    openLogin () {
+      if (!this.useOidc) {
+        this.loginModal = true
+      } else {
+        // Kick off OIDC login if needed
+        if (this.$keycloak && !this.$keycloak.authenticated) {
+          this.$keycloak.login()
+        }
+      }
+    },
+    loginSuccessful () {
+      if (!this.useOidc) {
+        this.loginModal = false
+        this.uname = this.$cookies.get('username')
+      } else {
+        this.updateOidcUser()
+      }
+      if (this.$route.name !== 'home') {
+        this.$router.push({ name: 'home' })
+      }
+    },
+    updateOidcUser () {
+      if (this.$keycloak && this.$keycloak.tokenParsed) {
+        this.uname = this.$keycloak.tokenParsed.preferred_username || null
+        this.$http.defaults.headers.common['Authorization'] = `Bearer ${this.$keycloak.token}`
+      }
+    },
+    logout () {
+      this.uname = null
+      this.$cookies.remove('username')
+      this.$cookies.remove('api-token')
+      this.$cookies.remove('admin')
+
+      if (this.useOidc && this.$keycloak && this.$keycloak.authenticated) {
+        this.$keycloak.logout({
+          redirectUri: import.meta.env.VITE_LOGOUT_REDIRECT_URI || 'http://home.cogstack.localhost/'
+        })
+      } else {
+        if (this.$route.name !== 'home') {
+          this.$router.push({name: 'home'})
+        } else {
+          this.$router.go()
+        }
+      }
+    }
+  },
+  mounted () {
+    EventBus.$on('login:success', this.loginSuccessful)
+
+    if (!this.useOidc) {
+      this.uname = this.$cookies.get('username') || null
+    } else {
+      if (this.$keycloak && this.$keycloak.authenticated) {
+        this.updateOidcUser()
+        // Watch for token refresh events
+        this.$keycloak.onAuthRefreshSuccess = () => this.updateOidcUser()
+        this.$keycloak.onAuthSuccess = () => this.updateOidcUser()
+      }
+    }
+  },
+  beforeDestroy () {
+    EventBus.$off('login:success', this.loginSuccessful)
+  },
+  created () {
+    this.$http.get('/api/version/').then(resp => {
+      this.version = resp.data || ''
+    })
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.full-height {
+  min-height: 100vh;
+}
+
+.header-gradient {
+  background: linear-gradient(135deg, #126cad 0%, #3d0372 50%, #8e1b73 100%);
+  position: fixed;
+  top: 0;
+  left: 0;
+  right: 0;
+  z-index: 50;
+  border-bottom: 1px solid rgba(255, 255, 255, 0.1);
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+}
+
+.header-container {
+  width: 100%;
+  padding: 0 24px;
+}
+
+.header-content {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 16px 0;
+  min-height: 60px;
+}
+
+.main-content {
+  padding-top: 81px;
+  height: 100vh; /* Account for header height (60px + 32px padding) */
+}
+
+.branding-section {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+}
+
+.logo-container {
+  display: flex;
+  align-items: center;
+}
+
+.brand-logo {
+  height: 48px;
+  width: auto;
+}
+
+.divider {
+  height: 24px;
+  width: 1px;
+  background-color: rgba(255, 255, 255, 0.3);
+}
+
+.app-title {
+  font-size: 24px;
+  font-weight: bold;
+  color: white;
+  display: flex;
+  align-items: center;
+  gap: 4px;
+  cursor: pointer;
+  margin: 0;
+  text-decoration: none;
+
+  &:hover {
+    color: white;
+    text-decoration: none;
+  }
+}
+
+.cat-logo {
+  height: 32px;
+  width: 32px;
+}
+
+.navigation-links {
+  display: flex;
+  gap: 20px;
+}
+
+.nav-link {
+  color: white;
+  text-decoration: none;
+  padding: 8px 0;
+  border-bottom: 1px solid transparent;
+  transition: all 0.2s ease;
+
+  &:hover {
+    color: white;
+    border-bottom: 1px solid white;
+    text-decoration: none;
+  }
+
+  &:focus {
+    color: white
+  }
+
+  &.router-link-active {
+    border-bottom: 1px solid white;
+  }
+}
+
+.action-buttons {
+  display: flex;
+  gap: 8px;
+  align-items: center;
+}
+
+.user-section {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+  margin-left: 16px;
+}
+
+.login-link {
+  color: white;
+  cursor: pointer;
+  font-size: 14px;
+
+  &:hover {
+    opacity: 0.8;
+  }
+}
+
+.user-info {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+  color: white;
+  font-size: 14px;
+}
+
+.username {
+  display: flex;
+  align-items: center;
+  gap: 4px;
+}
+
+.logout-link {
+  cursor: pointer;
+
+  &:hover {
+    opacity: 0.8;
+  }
+}
+
+.version-id {
+  font-size: 10px;
+  color: rgba(255, 255, 255, 0.7);
+  margin-left: 16px;
+}
+
+// Legacy styles for backward compatibility
+.right {
+  float: right;
+}
+
+.small {
+  font-size: 14px;
+  color: #fff !important;
+}
+
+.navbar {
+  height: 60px;
+  background-color: $navbar-bg;
+}
+
+.app-name {
+  padding: 0 10px;
+  font-size: 2.25rem;
+  text-decoration: none;
+  color: #fff;
+
+  &:hover {
+    color: #fff !important;
+    text-decoration: none;
+  }
+  &:focus {
+    color: #fff;
+  }
+}
+
+.navbar-brand {
+  color: #fff;
+  border-bottom: 1px solid transparent;
+  margin-left: 20px;
+  padding: 3px 0;
+
+  &:hover {
+    color: #fff;
+    border-bottom: 1px solid #fff;
+  }
+  &:focus {
+    color: #fff;
+  }
+}
+
+.link {
+  display: inline-block;
+  height: 25px;
+  cursor: pointer;
+
+  &:hover {
+    opacity: 0.6;
+  }
+}
+
+.logout {
+  padding-left: 20px;
+}
+
+.icon {
+  height: 38px;
+  position: relative;
+  bottom: 7px;
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/assets/base.css b/medcat-trainer/webapp/frontend/src/assets/base.css
new file mode 100644
index 000000000..533c57018
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/assets/base.css
@@ -0,0 +1,97 @@
+/* color palette from <https://github.com/vuejs/theme> */
+:root {
+  --primary: #0072CE; /*NHS Bright Blue*/
+  /*//"primary": #005EB8, //NHS Blue*/
+  --danger: #DA291C; /*NHS Emergency Services Red*/
+  --warning: #768692; /* NHS Mid Grey*/
+  --info: #E8EDEE; /* NHS Pale Grey*/
+  --success: #009639; /* NHS Green*/
+  --light-success: #32ab60; /* slightly lighter than NHS Green*/
+
+  --primary-mute: #0072CE;
+  --primary-soft: #0072CE;
+
+  --vt-c-white: #ffffff;
+  --vt-c-white-soft: #f8f8f8;
+  --vt-c-white-mute: #f2f2f2;
+
+  --vt-c-black: #181818;
+  --vt-c-black-soft: #222222;
+  --vt-c-black-mute: #282828;
+
+  --vt-c-indigo: #2c3e50;
+
+  --vt-c-divider-light-1: rgba(60, 60, 60, 0.29);
+  --vt-c-divider-light-2: rgba(60, 60, 60, 0.12);
+  --vt-c-divider-dark-1: rgba(84, 84, 84, 0.65);
+  --vt-c-divider-dark-2: rgba(84, 84, 84, 0.48);
+
+  --vt-c-text-light-1: var(--vt-c-indigo);
+  --vt-c-text-light-2: rgba(60, 60, 60, 0.66);
+  --vt-c-text-dark-1: var(--vt-c-white);
+  --vt-c-text-dark-2: rgba(235, 235, 235, 0.64);
+}
+
+/* semantic color variables for this project */
+:root {
+  --color-background: var(--vt-c-white);
+  --color-background-soft: var(--vt-c-white-soft);
+  --color-background-mute: var(--vt-c-white-mute);
+
+  --color-border: var(--vt-c-divider-light-2);
+  --color-border-hover: var(--vt-c-divider-light-1);
+
+  --color-heading: var(--vt-c-text-light-1);
+  --color-text: var(--vt-c-text-light-1);
+
+  --section-gap: 160px;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --color-background: var(--vt-c-black);
+    --color-background-soft: var(--vt-c-black-soft);
+    --color-background-mute: var(--vt-c-black-mute);
+
+    --color-border: var(--vt-c-divider-dark-2);
+    --color-border-hover: var(--vt-c-divider-dark-1);
+
+    --color-heading: var(--vt-c-text-dark-1);
+    --color-text: var(--vt-c-text-dark-2);
+  }
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+  margin: 0;
+  font-weight: normal;
+}
+
+body {
+  min-height: 100vh;
+  color: var(--color-text);
+  background: var(--color-background);
+  transition:
+    color 0.5s,
+    background-color 0.5s;
+  line-height: 1.6;
+  font-family:
+    Inter,
+    -apple-system,
+    BlinkMacSystemFont,
+    'Segoe UI',
+    Roboto,
+    Oxygen,
+    Ubuntu,
+    Cantarell,
+    'Fira Sans',
+    'Droid Sans',
+    'Helvetica Neue',
+    sans-serif;
+  font-size: 13px;
+  text-rendering: optimizeLegibility;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
diff --git a/medcat-trainer/webapp/frontend/src/assets/brand-logo.png b/medcat-trainer/webapp/frontend/src/assets/brand-logo.png
new file mode 100644
index 000000000..3cf235f76
Binary files /dev/null and b/medcat-trainer/webapp/frontend/src/assets/brand-logo.png differ
diff --git a/medcat-trainer/webapp/frontend/src/assets/cat-logo.png b/medcat-trainer/webapp/frontend/src/assets/cat-logo.png
new file mode 100644
index 000000000..56b7971b1
Binary files /dev/null and b/medcat-trainer/webapp/frontend/src/assets/cat-logo.png differ
diff --git a/medcat-trainer/webapp/frontend/src/assets/main.css b/medcat-trainer/webapp/frontend/src/assets/main.css
new file mode 100644
index 000000000..34c2a5499
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/assets/main.css
@@ -0,0 +1,32 @@
+html, body {
+  height: 100%;
+  overflow: hidden;
+  font-size: 12px;
+}
+
+body > div {
+  height: 100%;
+}
+
+body {
+  font-family: inherit;
+  font-size: 1rem;
+}
+
+.v-table > .v-table__wrapper > table > tbody > tr > td,
+.v-table > .v-table__wrapper > table > tbody > tr > th,
+.v-table > .v-table__wrapper > table > thead > tr > td,
+.v-table > .v-table__wrapper > table > thead > tr > th,
+.v-table > .v-table__wrapper > table > tfoot > tr > td,
+.v-table > .v-table__wrapper > table > tfoot > tr > th {
+  padding: 0 4px;
+}
+
+.v-table--density-default {
+  --v-table-header-height: 42px !important;
+  --v-table-row-height: 32px !important;
+}
+
+.v-data-table tbody tr:nth-of-type(even) {
+  background-color: rgba(0, 0, 0, .03);
+}
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/auth.ts b/medcat-trainer/webapp/frontend/src/auth.ts
new file mode 100644
index 000000000..84b2daecf
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/auth.ts
@@ -0,0 +1,50 @@
+import type { App } from 'vue'
+import Keycloak, { KeycloakConfig } from 'keycloak-js'
+import axios from 'axios'
+
+let keycloak: Keycloak
+
+export const authPlugin = {
+  install: async (app: App) => {
+    const config: KeycloakConfig = {
+      url: import.meta.env.VITE_KEYCLOAK_URL,
+      realm: import.meta.env.VITE_KEYCLOAK_REALM,
+      clientId: import.meta.env.VITE_KEYCLOAK_CLIENT_ID,
+    }
+
+    keycloak = new Keycloak(config)
+
+    const authenticated = await keycloak.init({
+      onLoad: 'login-required',
+      pkceMethod: 'S256',
+      checkLoginIframe: false,
+    })
+
+    if (!authenticated) {
+      console.warn('User is not authenticated')
+      window.location.reload()
+    }
+
+    // configure axios
+    axios.defaults.headers.common['Authorization'] = `Bearer ${keycloak.token}`
+
+    const refreshInterval = Number(import.meta.env.VITE_KEYCLOAK_TOKEN_REFRESH_INTERVAL) || 10000
+    const minValidity = Number(import.meta.env.VITE_KEYCLOAK_TOKEN_MIN_VALIDITY) || 30
+
+    setInterval(() => {
+      keycloak.updateToken(minValidity)
+        .then(refreshed => {
+          if (refreshed) {
+            axios.defaults.headers.common['Authorization'] = `Bearer ${keycloak.token}`
+          }
+        })
+        .catch(err => {
+          console.error('Failed to refresh token', err)
+        })
+    }, refreshInterval)
+
+
+    app.config.globalProperties.$keycloak = keycloak
+    app.config.globalProperties.$http = axios
+  },
+}
diff --git a/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue b/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue
new file mode 100644
index 000000000..4b00abf44
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue
@@ -0,0 +1,245 @@
+<template>
+  <div class="sidebar" @keyup.stop>
+    <div class="title">
+      Add Term
+      <button @click="cancel()" class="btn btn-default close-window" @mousedown.stop>
+        <font-awesome-icon icon="times"></font-awesome-icon>
+      </button>
+    </div>
+    <div class="main-panel">
+      <table class="add-synonym-table">
+        <tbody>
+        <tr>
+          <td>New Term</td>
+          <td class="fit-content">{{name}}</td>
+        </tr>
+        <tr @keyup.stop>
+          <td>Concept Lookup</td>
+          <td>
+            <concept-picker :restrict_concept_lookup="project.restrict_concept_lookup"
+                            :cui_filter="project.cuis"
+                            :cdb_search_filter="project.cdb_search_filter"
+                            :concept_db="project.concept_db"
+                            :selection="name" @pickedResult:concept="enrichCUI"
+                            @picker:opened="conceptPickerState(true)" @picker:closed="conceptPickerState(false)">
+            </concept-picker>
+          </td>
+        </tr>
+        <tr>
+          <td>Context</td>
+          <td class="fit-content context">
+            <span class="context">{{this.prevText}}</span>
+            <span class="context highlight">{{this.name}}</span>
+            <span class="context">{{this.nextText.slice(0, 15)}}</span>
+          </td>
+        </tr>
+        </tbody>
+      </table>
+      <table class="add-synonym-table" v-if="selectedCUI">
+        <tbody>
+        <tr>
+          <td>Name</td>
+          <td class="cui-mappings">{{selectedCUI.name.split(':')[0] || 'n/a'}}</td>
+        </tr>
+        <tr v-if="selectedCUI.type_ids !== 'unk' ">
+          <td>Type ID</td>
+          <td>{{(selectedCUI.type_ids || []).join(', ') || 'n/a'}}</td>
+        </tr>
+        <tr v-if="selectedCUI.semantic_type">
+          <td>Semantic Type</td>
+          <td>{{selectedCUI.semantic_type || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Concept ID</td>
+          <td >{{selectedCUI.cui || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Description</td>
+          <td class="fit-content" v-html="selectedCUI.desc === 'nan' ? 'n/a' : selectedCUI.desc || 'n/a'"></td>
+        </tr>
+        <tr>
+          <td>Synonyms</td>
+          <td class="fit-content" v-html="(selectedCUI.synonyms || []).join('<br>') || 'n/a'"></td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+    <div v-if="selectedCUI !== null" class="action-buttons">
+      <button @click="submit()" :disabled="loading" class="btn task-btn-0">
+        <font-awesome-icon v-if="!loading" icon="plus"></font-awesome-icon>
+        <font-awesome-icon v-if="loading" icon="spinner" spin size="xs" />
+        Add Term
+      </button>
+      <button @click="cancel()" class="btn task-btn-1" :disabled="loading">
+        <font-awesome-icon icon="times"></font-awesome-icon>
+        Cancel
+      </button>
+    </div>
+    <add-new-concept class="add-new-concept" v-if="project.add_new_entities" :selection="selection" :project="project" :documentId="documentId"
+                     @select:newConcept="newConceptSelected"
+                     @request:addConceptComplete="newConceptAddedComplete"></add-new-concept>
+  </div>
+</template>
+
+<script>
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+import AddNewConcept from '@/components/common/AddNewConcept.vue'
+
+export default {
+  name: 'AddAnnotation',
+  components: {
+    AddNewConcept,
+    ConceptPicker
+  },
+  emits: [
+    'request:addAnnotationComplete'
+  ],
+  mixins: [ConceptDetailService],
+  props: {
+    selection: Object,
+    project: Object,
+    documentId: Number,
+    searchFilterDBIndex: String
+  },
+  data () {
+    return {
+      name: this.selection.selStr,
+      prevText: this.selection.prevText,
+      nextText: this.selection.nextText,
+      selectedCUI: null,
+      conceptPickerOpen: false,
+      loading: false
+    }
+  },
+  methods: {
+    enrichCUI (concept) {
+      this.selectedCUI = concept
+    },
+    submit () {
+      const payload = {
+        source_value: this.selection.selStr,
+        document_id: this.documentId,
+        project_id: this.project.id,
+        selection_occur_idx: this.selection.selectionOccurrenceIdx,
+        cui: this.selectedCUI.cui
+      }
+      this.loading = true
+      this.$http.get(`/api/cache-model/${this.project.id}/`).then(_ => {
+        this.loading = false
+        this.$http.post('/api/add-annotation/', payload).then(resp => {
+          this.$emit('request:addAnnotationComplete', resp.data.id)
+          this.selectedCUI = null
+        })
+      }).catch(err => {
+        this.errorMessage = err.response.data.message || 'Error loading model.'
+      })
+      
+    },
+    cancel () {
+      this.$emit('request:addAnnotationComplete')
+    },
+    keydown (e) {
+      if (e.keyCode === 27) { // esc key
+        this.cancel()
+      } else if (e.keyCode === 13 && !this.conceptPickerOpen) { // enter key
+        this.submit()
+      }
+    },
+    conceptPickerState (val) {
+      const that = this
+      window.setTimeout(function () {
+        that.conceptPickerOpen = val
+      }, 100)
+    },
+    newConceptSelected () {
+      this.selectedCUI = null
+    },
+    newConceptAddedComplete (annoId) {
+      this.$emit('request:addAnnotationComplete', annoId)
+    }
+  },
+  mounted () {
+    window.addEventListener('keydown', this.keydown)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keydown', this.keydown)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+$button-height: 50px;
+
+.sidebar {
+  width: 100%;
+  overflow-y: auto;
+  height: 100%;
+}
+
+.main-panel {
+  overflow-y: auto;
+}
+
+.context {
+  white-space: pre-wrap;
+}
+
+.highlight {
+  background: lightgrey;
+  border: 3px solid lightgrey;
+  border-radius: 8px;
+}
+
+.action-buttons {
+  text-align: center;
+  padding-top: 10px;
+  height: $button-height;
+}
+
+.cui-mappings {
+  white-space: pre-wrap;
+}
+
+.close-window {
+  opacity: 0.5;
+  float: right;
+  &:hover {
+    opacity: 1.0;
+  }
+}
+
+.add-synonym-table {
+  width: 100%;
+
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+    td:first-child {
+      width: 100px;
+    }
+
+    > td {
+
+      &:first-child {
+        width: 100px;
+      }
+
+      padding: 7px 10px;
+      vertical-align: top;
+      color: $text;
+
+      &.fit-content {
+        display: inline-block;
+        max-height: 150px;
+        overflow-y: auto;
+        width: 100%;
+      }
+    }
+  }
+}
+
+.add-new-concept {
+  padding: 5px 0;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue b/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue
new file mode 100644
index 000000000..a053e626a
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue
@@ -0,0 +1,67 @@
+<template>
+  <tr class="result-container">
+    <td class="doc-name">{{result['document name']}}</td>
+    <td class="cui">{{result.cui}}</td>
+    <td class="source-value">{{result['source value']}}</td>
+    <td class="accu">{{Number(result.acc).toFixed(3)}}</td>
+    <td class="text">
+      <v-runtime-template :template="text"></v-runtime-template>
+    </td>
+  </tr>
+</template>
+
+<script>
+import VRuntimeTemplate from 'vue3-runtime-template'
+
+export default {
+  name: 'AnnoResult.vue',
+  components: { VRuntimeTemplate },
+  props: {
+    result: Object,
+    type: {
+      type: String,
+      default: 'tp'
+    },
+    docText: String
+  },
+  computed: {
+    text () {
+      if (!this.result || !this.result.text || !this.result['source value']) {
+        return ''
+      }
+      // default to tp
+      let highlightClass = 'highlight-task-0'
+      if (this.type === 'fp' || this.type === 'fn') {
+        highlightClass = 'highlight-task-1'
+      }
+      
+      const srcVal = this.result['source value']
+      let outText = `<span>${this.docText.slice(this.result['start'] - 60, this.result['start'])}`
+      outText += `<span class="${highlightClass}" @click="openAnno">${srcVal}</span>`
+      outText += `${this.docText.slice(this.result['end'], this.result['end'] + 60)}</span>`
+      return outText
+    }
+  },
+  methods: {
+    openAnno () {
+      const routeData = this.$router.resolve(
+        {
+          path: `/train-annotations/${this.result['project id']}/${this.result['document id']}`,
+          query: {
+            annoStart: this.result['start'],
+            annoEnd: this.result['end']
+          }
+      })
+      window.open(routeData.href, '_blank');
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.result-container {
+  > td {
+    padding: 10px;
+  }
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue b/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue
new file mode 100644
index 000000000..e7973721a
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue
@@ -0,0 +1,147 @@
+<template>
+  <div class="task-bar" >
+    <div class="task-bar-choices">
+      <button :disabled="taskLocked" class="btn task-btn-0" @click="correct">
+        Correct</button>
+      <button :disabled="taskLocked" class="btn task-btn-1" @click="remove">
+        Incorrect</button>
+      <button v-if="terminateEnabled" :disabled="taskLocked" class="btn task-btn-2" @click="kill">
+        Terminate</button>
+      <button :disabled="taskLocked" class="btn task-btn-3" @click="alternative">
+        Alternative</button>
+      <button v-if="irrelevantEnabled" :disabled="taskLocked" class="btn task-btn-4" @click="irrelevant">
+        Irrelevant
+      </button>
+    </div>
+    <button :disabled="submitDisabled()" @click="submit()" class="btn btn-outline-primary mb-2 submit-btn submit"
+              type="button">Submit</button>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+export default {
+  name: 'TaskBar',
+  props: {
+    ents: Array,
+    taskLocked: Boolean,
+    submitLocked: Boolean,
+    altSearch: Boolean,
+    terminateEnabled: Boolean,
+    irrelevantEnabled: Boolean,
+    conceptSelection: Object
+  },
+  emits: [
+    'select:correct',
+    'select:remove',
+    'select:kill',
+    'select:alternative',
+    'select:irrelevant',
+    'submit'
+  ],
+  watch: {
+    'submitLocked' (newVal) {
+      if (newVal === null || newVal === false) {
+        this.listenShortcuts()
+      } else {
+        this.ignoreShortcuts()
+      }
+    }
+  },
+  methods: {
+    correct () {
+      this.$emit('select:correct')
+    },
+    remove () {
+      this.$emit('select:remove')
+    },
+    kill () {
+      this.$emit('select:kill')
+    },
+    alternative () {
+      this.$emit('select:alternative', !this.altSearch)
+    },
+    irrelevant () {
+      this.$emit('select:irrelevant')
+    },
+    submit () {
+      this.$emit('submit', true)
+    },
+    submitDisabled () {
+      if (this.ents !== null && !this.submitLocked) {
+        return !this.ents.every(e => {
+          return Object.values(e.assignedValues).every(e => e !== null)
+        })
+      }
+      return true
+    },
+    keydown (e) {
+      if (e.keyCode === 13 && !this.conceptSelection) {
+        if (!this.submitDisabled()) {
+          this.ignoreShortcuts()
+          this.submit()
+        }
+      } else if (e.keyCode >= 49 && e.keyCode < 54 && !this.taskLocked) {
+        let codeRange = _.range(5)
+        let keyRange = _.range(49, 54)
+        let selectIdx = _.zipObject(keyRange, codeRange)[e.keyCode]
+        switch (selectIdx) {
+          case 0:
+            this.correct()
+            break
+          case 1:
+            this.remove()
+            break
+          case 2:
+            if (this.terminateEnabled) {
+              this.kill()
+            }
+            break
+          case 3:
+            this.alternative()
+            break
+          case 4:
+            if (this.irrelevantEnabled) {
+              this.irrelevant()
+            }
+        }
+      }
+    },
+    listenShortcuts () {
+      window.addEventListener('keydown', this.keydown)
+    },
+    ignoreShortcuts () {
+      window.removeEventListener('keydown', this.keydown)
+    }
+  },
+  mounted () {
+    this.listenShortcuts()
+  },
+  beforeDestroy () {
+    this.ignoreShortcuts()
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.task-bar {
+  width: 100%;
+  background-color: $background;
+  color: $text;
+  text-align: center;
+
+  .task-bar-choices {
+    width: calc(100% - 100px);
+  }
+
+  div {
+    display: inline-block;
+  }
+
+  .submit {
+    float: right;
+    width: 100px;
+  }
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue b/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue
new file mode 100644
index 000000000..3c62b2b43
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue
@@ -0,0 +1,171 @@
+<template>
+  <div @keydown.stop>
+    <div class="title">
+      Add New Concept
+      <div @click="selectNewConcept()" @mousedown.stop class="show-form-button">
+        <transition name="slide-up">
+          <div>
+            <font-awesome-icon v-if="!showAdd" class="" icon="angle-right"
+                               @click="$emit('select:newConcept')"></font-awesome-icon>
+            <font-awesome-icon v-if="showAdd" icon="angle-down"></font-awesome-icon>
+          </div>
+        </transition>
+      </div>
+    </div>
+    <table class="add-new-concept-table">
+      <tbody>
+      <tr v-if="showAdd">
+        <td>Name *</td>
+        <td><input v-model="concept.name" required type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Concept ID *</td>
+        <td><input v-model="concept.cui" required type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Description</td>
+        <td><textarea v-model="concept.desc" class="form-control"></textarea></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Type</td>
+        <td><input v-model="concept.type" type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Type IDs</td>
+        <td><input v-model="concept.type_ids" type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Synonyms</td>
+        <td><textarea v-model="concept.synonyms" class="form-control"></textarea></td>
+      </tr>
+      </tbody>
+    </table>
+    <div class="footer action-buttons">
+      <button class="btn btn-primary" :disabled="!addConceptEnabled()"
+              @click="addConcept">Add Concept</button>
+    </div>
+    <div class="alert alert-danger" role="alert" v-if="addConceptErr">
+      {{addConceptErr}}
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'AddNewConcept',
+  props: {
+    selection: Object,
+    project: Object,
+    documentId: Number
+  },
+  emits: [
+    'select:newConcept',
+    'request:addConceptComplete'
+  ],
+  data () {
+    return {
+      showAdd: false,
+      concept: {
+        name: '',
+        desc: '',
+        type: '',
+        type_ids: '',
+        cui: '',
+        synonyms: ''
+      },
+      addConceptErr: false
+    }
+  },
+  methods: {
+    selectNewConcept () {
+      this.showAdd = !this.showAdd
+      this.$emit('select:newConcept', this.showAdd)
+    },
+    addConceptEnabled () {
+      return this.concept.name.length > 1 && this.concept.cui.length > 1
+    },
+    addConcept () {
+      // addNewConcept
+      const payload = {
+        source_value: this.selection.selStr,
+        document_id: this.documentId,
+        project_id: this.project.id,
+        selection_occur_idx: this.selection.selectionOccurrenceIdx
+      }
+      Object.assign(payload, this.concept)
+      let nextCtx = this.selection.nextText.slice(0, 30).split(' ').slice(0, -1)
+      payload['context'] = `${this.selection.prevText}${this.selection.selStr}${nextCtx}`
+
+      this.$http.post(`/api/add-concept/`, payload).then(resp => {
+        this.$emit('request:addConceptComplete', resp.data.id)
+      }).catch(err => {
+        if (err.code === 400) {
+          this.addConceptErr = 'Invalid CUI value. CUI already exists in MedCAT.'
+          let that = this
+          setTimeout(function () {
+            that.addConceptErr = false
+          }, 5000)
+        } else {
+          this.addConceptErr = `Error adding concept:${(err.response.data || {}).err || 'Unknown error: more info in the console'}`
+          console.error(err)
+          let that = this
+          setTimeout(function () {
+            that.addConceptErr = false
+          }, 5000)
+        }
+      })
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+$button-height: 50px;
+
+.add-new-concept-table {
+  width: 100%;
+
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0, 0, 0, 0.2);
+
+    > td {
+      padding: 10px 15px;
+      vertical-align: top;
+    }
+  }
+}
+
+.title {
+  @extend .title;
+  font-size: 16px;
+}
+
+.slide-up-enter-active {
+  transition: all .5s ease;
+}
+
+.slide-up-enter, .slide-up-leave-to {
+  position: relative;
+  transform: translateY(10px);
+  transition: all .2s ease;
+  opacity: 0;
+}
+
+.action-buttons {
+  text-align: center;
+  padding-top: 10px;
+  height: $button-height;
+}
+
+.show-form-button {
+  display: inline-block;
+  width: 100px;
+  min-width: 15px;
+  opacity: 0.5;
+  text-align: right;
+  &:hover {
+    opacity: 1.0;
+  }
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue b/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue
new file mode 100644
index 000000000..5d8ac10a4
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue
@@ -0,0 +1,73 @@
+<template>
+  <div class="summary">
+    <table class="table table-condensed table-hover">
+      <thead>
+        <tr>
+          <th>Annotated Text</th>
+          <th>Concept ID</th>
+          <th>Concept Name</th>
+          <th v-if="showInfoCol('icd10')">ICD-10</th>
+          <th v-if="showInfoCol('opcs4')">OPCS-4</th>
+          <th v-for="task in tasks" :key="task.id">{{task.name}}</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr v-for="concept in annos" :key="concept.id" class="summary-body" @click="selectConcept(concept)">
+          <td>
+            <span>{{leftContext(concept)}}</span>
+            <span :class="highlightClass(concept)">{{concept.value}}</span>
+            <span>{{rightContext(concept)}}</span>
+          </td>
+          <td>{{concept.cui}}</td>
+          <td>{{concept.pretty_name}}</td>
+          <td v-if="showInfoCol('icd10')" class="cui-info">
+            <div v-for="code of concept.icd10" :key="code.code">{{`${code.code} | ${code.desc}`}}</div>
+          </td>
+          <td v-if="showInfoCol('opcs4')" class="cui-info">
+          </td>
+          <td v-for="task in metaAnnos[concept.id]" :key="task.id">
+            <span>{{taskMaps[task.id][task.value]}}</span>
+          </td>
+        </tr>
+      </tbody>
+    </table>
+  </div>
+</template>
+
+<script>
+import SummaryMixin from '@/mixins/SummaryMixin'
+
+export default {
+  name: 'AnnotationSummary',
+  mixins: [SummaryMixin],
+  props: {
+    annos: Array
+  },
+  created () {
+    this.enrichSummary(this.annos)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+.summary {
+  height: 550px;
+  overflow-y: auto;
+
+  table td {
+    cursor: pointer;
+  }
+}
+
+.cui-info {
+  white-space: pre-wrap;
+}
+
+.highlight-task-new {
+  @extend .highlight-task-0;
+  &::after {
+    content: "*";
+  }
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue b/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue
new file mode 100644
index 000000000..27ac7013c
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue
@@ -0,0 +1,283 @@
+<template>
+  <div class="note-container">
+    <v-overlay :model-value="loading !== null"
+               class="align-center justify-center"
+               color="primary"
+               activator="parent"
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="primary"></v-progress-circular>
+      <span class="overlay-message">{{loading}}</span>
+    </v-overlay>
+    <div v-if="!loading" class="clinical-note">
+      <v-runtime-template ref="clinicalText" :template="formattedText"></v-runtime-template>
+    </div>
+    <vue-simple-context-menu
+      :elementId="'ctxMenuId'"
+      :options="ctxMenuOptions"
+      ref="ctxMenu"
+      @option-clicked="ctxOptionClicked">
+    </vue-simple-context-menu>
+  </div>
+</template>
+
+<script>
+import VRuntimeTemplate from "vue3-runtime-template"
+import VueSimpleContextMenu from 'vue-simple-context-menu'
+import _ from 'lodash'
+
+export default {
+  name: 'ClinicalText',
+  components: {
+    VRuntimeTemplate,
+    VueSimpleContextMenu
+  },
+  props: {
+    text: String,
+    taskName: String,
+    taskValues: Array,
+    task: Object,
+    ents: Array,
+    loading: String,
+    currentEnt: Object,
+    currentRelStartEnt: {
+      default () {
+        return {}
+      },
+      type: Object,
+    },
+    currentRelEndEnt: {
+      default () {
+        return {}
+      },
+      type: Object,
+    },
+    addAnnos: Boolean
+  },
+  emits: [
+    'select:concept',
+    'select:addSynonym',
+    'remove:newAnno'
+  ],
+  data () {
+    return {
+      ctxMenuOptions: [
+        {
+          name: 'Add Term'
+        }
+      ],
+      selection: null
+    }
+  },
+  computed: {
+    formattedText () {
+      if (this.loading || !this.text || !this.ents) { return '' }
+      if (this.ents.length === 0) {
+        let text = this.text.replace('&', '&amp').replace('<', '&gt').replace('>', '&gt')
+        text = text === 'nan' ? '' : text
+        return this.addAnnos ? `<div @contextmenu.prevent.stop="showCtxMenu($event)">${text}</div>` : `<div>${text}</div>`
+      }
+
+      const taskHighlightDefault = 'highlight-task-default'
+      let formattedText = ''
+      let start = 0
+      let timeout = 0
+      for (let i = 0; i < this.ents.length; i++) {
+        // highlight the span with default
+        let highlightText = this.text.slice(this.ents[i].start_ind, this.ents[i].end_ind)
+
+        let styleClass = taskHighlightDefault
+        if (this.ents[i].assignedValues[this.taskName] !== null) {
+          let btnIndex = this.taskValues.indexOf(this.ents[i].assignedValues[this.taskName])
+          styleClass = `highlight-task-${btnIndex}`
+        }
+
+        if (this.ents[i].id === this.currentRelStartEnt.id) {
+          styleClass += ' current-rel-start'
+        } else if (this.ents[i].id === this.currentRelEndEnt.id) {
+          styleClass += ' current-rel-end'
+        }
+
+        styleClass = this.ents[i] === this.currentEnt ? `${styleClass} highlight-task-selected` : styleClass
+        timeout = this.ents[i] === this.currentEnt && i === 0 ? 500 : timeout
+
+        let removeButtonEl = ''
+        if (this.ents[i].manually_created) {
+          removeButtonEl = `<font-awesome-icon icon="times" class="remove-new-anno" @click="removeNewAnno(${i})"></font-awesome-icon>`
+        }
+        let spanText = `<span @click="selectEnt(${i})" class="${styleClass}">${_.escape(highlightText)}${removeButtonEl}</span>`
+
+        let precedingText = _.escape(this.text.slice(start, this.ents[i].start_ind))
+        precedingText = precedingText.length !== 0 ? precedingText : ' '
+        start = this.ents[i].end_ind
+        formattedText += precedingText + spanText
+        if (i === this.ents.length - 1) {
+          formattedText += this.text.slice(start, this.text.length)
+        }
+      }
+
+      // escape '<' '>' that may be interpreted as start/end tags, escape inserted span tags.
+      // formattedText = formattedText
+      //   .replace(/<(?!\/?span|font-awesome-icon)/g, '&lt')
+      //   .replace(/(?<!<span @click="selectEnt\(\d\d?\d?\d?\)".*"|\/span)>/g, '&gt')
+
+      formattedText = this.addAnnos ? `<div @contextmenu.prevent.stop="showCtxMenu($event)">${formattedText}</div>` : `<div>${formattedText}</div>`
+      this.scrollIntoView(timeout)
+      return formattedText
+    }
+  },
+  methods: {
+    scrollIntoView  (timeout) {
+      let el = document.getElementsByClassName('highlight-task-selected')
+      setTimeout(function () { // setTimeout to put this into event queue
+        if (el[0]) {
+          el[0].scrollIntoView({
+            block: 'nearest',
+            behavior: 'smooth'
+          })
+        }
+      }, timeout)
+    },
+    selectEnt  (entIdx) {
+      this.$emit('select:concept', entIdx)
+    },
+    showCtxMenu  (event) {
+      const selection = window.getSelection()
+      const selStr = selection.toString().trim()
+      const anchor = selection.anchorNode
+      const focus = selection.focusNode
+
+      if (selStr.length > 0 && focus !== null && focus.data) {
+        let nextText = focus.data.slice(selection.focusOffset)
+        let nextSibling = focus.nextSibling || focus.parentElement.nextSibling
+        let priorText = anchor.data.slice(0, selection.anchorOffset)
+        let priorSibling = anchor.previousSibling || anchor.parentElement.previousSibling
+
+        let sameNode = anchor.compareDocumentPosition(focus) === 0
+        let focusProceedingAnchor = anchor.compareDocumentPosition(focus) === 2
+        if (!sameNode) {
+          if (focusProceedingAnchor) {
+            priorText = focus.data.slice(0, selection.focusOffset)
+            priorSibling = focus.previousSibling || focus.parentElement.previousSibling
+            nextText = anchor.data.slice(selection.anchorOffset)
+            nextSibling = anchor.nextSibling || anchor.parentElement.nextSibling
+          }
+        } else if (selection.anchorOffset > selection.focusOffset) {
+          priorText = anchor.data.slice(0, selection.focusOffset)
+          nextText = anchor.data.slice(selection.anchorOffset)
+        }
+
+        let i = 0
+        while (priorSibling !== null) {
+          priorText = `${priorSibling.innerText || priorSibling.textContent}${priorText}`
+          priorSibling = priorSibling.previousSibling
+          i++
+        }
+        i = 0
+        while (nextSibling !== null && i < 15) {
+          nextText += (nextSibling.innerText || nextSibling.textContent)
+          nextSibling = nextSibling.nextSibling
+          i++
+        }
+
+        // occurrences of the selected string in the text before.
+        let selectionOcurrenceIdx = 0
+        let idx = 0
+        while (idx !== -1) {
+          idx = priorText.indexOf(selStr, idx)
+          if (idx !== -1) {
+            idx += selStr.length
+            selectionOcurrenceIdx += 1
+          }
+        }
+
+        // take only 100 chars of either side?
+        nextText = nextText.length < 100 ? nextText : nextText.slice(0, 100)
+        priorText = priorText.length < 15 ? priorText : priorText.slice(-15)
+        this.selection = {
+          selStr: selStr,
+          prevText: priorText,
+          nextText: nextText,
+          selectionOccurrenceIdx: selectionOcurrenceIdx
+        }
+
+        // event is 132 px too large.
+        // TODO: Fix hack, bug introduced with vue-multipane.
+        let ev = {
+          pageY: event.pageY - 42,
+          pageX: event.pageX
+        }
+        this.$refs.ctxMenu.showMenu(ev)
+      }
+    },
+    ctxOptionClicked  () {
+      this.$emit('select:addSynonym', this.selection)
+    },
+    removeNewAnno (idx) {
+      this.$emit('remove:newAnno', idx)
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+
+.note-container {
+  flex: 1 1 auto;
+  overflow-y: auto;
+  background: rgba(0, 114, 206, .2);
+  padding: 40px 40px 0 40px;
+  border-radius: 10px;
+  height: 100%;
+}
+
+.clinical-note {
+  background: white;
+  overflow-y: auto;
+  height: 100%;
+  box-shadow: 0px -2px 3px 2px rgba(0, 0, 0, 0.2);
+  padding: 25px;
+  white-space: pre-wrap;
+}
+
+.highlight-task-default {
+  background: lightgrey;
+  border: 1px solid lightgrey;
+  border-radius: 3px;
+  cursor: pointer;
+}
+
+.highlight-task-selected {
+  font-weight: bold;
+  font-size: 1.15rem;
+}
+
+.current-rel-start {
+  &::after {
+    content: "START";
+    position: relative;
+    font-size: 12px;
+    top: -4px;
+    left: 1px;
+  }
+}
+
+.current-rel-end {
+  &:after {
+    content: "END";
+    position: relative;
+    font-size: 12px;
+    top: -4px;
+    left: 1px;
+  }
+}
+
+.remove-new-anno {
+  font-size: 15px;
+  color: $task-color-1;
+  cursor: pointer;
+  position: relative;
+  top: -5px;
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue b/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue
new file mode 100644
index 000000000..88be63049
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue
@@ -0,0 +1,176 @@
+<template>
+  <div class="concept-filter-parent">
+    <v-overlay :model-value="loading"
+               class="align-center justify-center"
+               color="#005EB8"
+               activator="parent"
+               contained
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+    </v-overlay>
+    <div>
+      <v-row class="search-bar">
+        <v-text-field v-model="filter" type="search"
+                      label="Concept search"></v-text-field>
+        <div class="search-results">
+            <span v-if="filter === ''">Project concept filter size: <strong>{{(allItems || []).length}}</strong></span>
+            <span v-if="filter !== ''">Found <strong>{{allFilteredItems.length}}</strong> - showing first {{items.length}}</span>
+        </div>
+      </v-row>
+
+
+      <v-table density="compact" id="concept-table">
+        <thead>
+          <tr>
+            <th>CUI</th>
+            <th>Name</th>
+          </tr>
+        </thead>
+        <tbody>
+          <tr v-for="item in items" :key="item.cui">
+            <td>{{item.cui}}</td>
+            <td><span v-html="item.name"></span></td>
+          </tr>
+        </tbody>
+      </v-table>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+const ROW_LIMIT = 100
+
+export default {
+  name: "ConceptFilter",
+  props: {
+    cuis: String,
+    cdb_id: Number
+  },
+  data () {
+    return {
+      rowLimit: ROW_LIMIT,
+      currentPage: 1,
+      loading: false,
+      items: null,
+      allItems: null,
+      allFilteredItems: [],
+      headers: [
+        { value: 'cui', title: 'CUI' },
+        { value: 'name', title: 'Name' }
+      ],
+      filter: '',
+    }
+  },
+  created () {
+    this.loading = true
+    let payload = {
+      cuis: this.cuis !== '' ? this.cuis.split(',') : null,
+      cdb_id: this.cdb_id
+    }
+    this.$http.post('/api/cuis-to-concepts/', payload).then(resp => {
+      const items = resp.data.concept_list.sort((a,b) => a.name.localeCompare(b.name))
+      if (items.length > ROW_LIMIT) {
+        this.items = items.slice(0, ROW_LIMIT)
+        this.allItems = items
+      } else {
+        this.items = items
+        this.allItems = this.items
+      }
+      this.loading = false
+    })
+  },
+  methods: {
+    filterItems: _.debounce(function(filterStr) {
+      filterStr = filterStr.toLowerCase()
+      function highlightCUINames(concepts, query) {
+        const lowercaseQuery = query.toLowerCase();
+        return concepts.map(concept => {
+          const name = concept.name
+          let lowercaseStr = name.toLowerCase();
+          let result = '';
+          let lastIndex = 0;
+
+          while (true) {
+            const index = lowercaseStr.indexOf(lowercaseQuery, lastIndex);
+            if (index === -1) break;
+
+            result += name.slice(lastIndex, index);
+            result += `<span class="highlight">${name.slice(index, index + query.length)}</span>`;
+
+            lastIndex = index + query.length;
+          }
+          result += name.slice(lastIndex);
+          return {...concept, ...{ name: result }}
+        });
+      }
+      let filteredItems = this.allItems.filter((v) => v.name.toLowerCase().includes(filterStr))
+      filteredItems = filteredItems.sort((a,b) => {
+        const aStartsWith = a.name.toLowerCase().startsWith(filterStr)
+        const bStartsWith = b.name.toLowerCase().startsWith(filterStr)
+        if (aStartsWith !== bStartsWith) {
+          return aStartsWith ? -1 : 1
+        }
+        return a.name.length - b.name.length
+
+      })
+      filteredItems = highlightCUINames(filteredItems, filterStr)
+
+      if (filteredItems.length > ROW_LIMIT) {
+        this.allFilteredItems = filteredItems
+        this.items = this.allFilteredItems.slice(0, ROW_LIMIT)
+      } else {
+        this.items = filteredItems
+        this.allFilteredItems = []
+      }
+      this.currentPage = 0
+      this.loading = false
+    }, 500)
+  },
+  watch: {
+    filter (newVal) {
+      if (newVal.length > 0) {
+        this.filterItems(newVal)
+      } else {
+        this.items = this.allItems.slice(0, ROW_LIMIT)
+        this.allFilteredItems = []
+        this.currentPage = 0
+        this.loading = false
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+.concept-filter-parent {
+  position: relative;
+  padding: 5px;
+}
+
+.search-bar {
+  flex-wrap: nowrap;
+  //margin: 5px 0;
+  width: calc(100% - 300px);
+
+  input {
+    display: inline-block;
+    width: calc(100% - 300px);
+  }
+
+  span {
+    float: right;
+  }
+}
+
+.search-results {
+  padding-left: 10px;
+  padding-top: 10px;
+}
+
+.highlight {
+  font-weight: bold;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue b/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue
new file mode 100644
index 000000000..5e19f95d1
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue
@@ -0,0 +1,135 @@
+<template>
+  <div @keydown.stop>
+    <v-select v-model="selectedCUI" @search="searchCUI"
+              :inputId="'searchBox'"
+              :clearSearchOnSelect="true"
+              :filterable="false"
+              :appendToBody="true"
+              :options="searchResults"
+              :loading="loadingResults"
+              label="cui"
+              @open="$emit('picker:opened')"
+              @close="$emit('picker:closed')">
+      <template v-slot:no-options="{ search, searching }">
+        <template v-if="error">
+          <span class="text-danger">{{ error }}</span>
+        </template>
+        <template v-if="searching">No results found for <em>{{ search }}</em>.
+        </template>
+        <em v-if="!error" style="opacity: 0.5">Start typing to search for a concept.</em>
+      </template>
+      <template v-slot:option="option">
+        <span class="select-option">{{option.name}}</span>
+        <span class="select-option-cui"> - {{option.cui}}</span>
+      </template>
+    </v-select>
+  </div>
+</template>
+
+<script>
+import vSelect from 'vue-select'
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptPicker',
+  components: {
+    vSelect
+  },
+  emits: [
+    'picker:opened',
+    'picker:closed',
+    'pickedResult:concept'
+  ],
+  props: {
+    restrict_concept_lookup: Boolean,
+    cui_filter: String,
+    cdb_search_filter: Array,
+    concept_db: Number,
+    selection: String
+  },
+  created () {
+    let that = this
+    window.setTimeout(function () {
+      const el = document.getElementById('searchBox')
+      el.focus()
+      el.value = that.selection
+      that.searchCUI(that.selection)
+    }, 150)
+  },
+  data () {
+    return {
+      selectedCUI: null,
+      searchResults: [],
+      loadingResults: false
+    }
+  },
+  watch: {
+    'selectedCUI' (newVal) {
+      this.$emit('pickedResult:concept', newVal)
+    },
+    'selection': 'selectionChange'
+  },
+  methods: {
+    searchCUI: _.debounce(function (term) {
+      this.loadingResults = true
+
+      if (!term || term.trim().length === 0) {
+        this.loadingResults = false
+        return
+      }
+
+      const mapResult = function (r, allResults) {
+        const isDupName = allResults.filter(res => res.pretty_name === r.pretty_name).length > 1
+        return {
+          name: isDupName ? `${r.pretty_name} : ${r.cui}` : r.pretty_name,
+          cui: r.cui,
+          type_ids: r.type_ids,
+          desc: r.desc,
+          icd10: r.icd10,
+          opcs4: r.opcs4,
+          semantic_type: r.semantic_type,
+          synonyms: r.synonyms
+        }
+      }
+
+      const that = this
+      const conceptDBset = new Set(this.cdb_search_filter.concat(this.concept_db))
+      conceptDBset.delete(null)
+      const conceptDbs = Array.from(conceptDBset).join(',')
+      const searchByTerm = function () {
+        let searchConceptsQueryParams = `search=${term}&cdbs=${conceptDbs}`
+        that.$http.get(`/api/search-concepts/?${searchConceptsQueryParams}`).then(resp => {
+          that.searchResults = filterResults(resp.data.results.map(res => mapResult(res, resp.data.results)))
+          // loading(false)
+          that.loadingResults = false
+        }).catch(err => {
+          that.error = err.response?.data?.message || 'Error searching concepts - check project setup or contact project support'
+          that.loadingResults = false
+          that.searchResults = []
+        })
+      }
+      const filterResults = function (results) {
+        if (that.restrict_concept_lookup) {
+          if (that.cui_filter) {
+            let cuis = that.cui_filter.split(',').map(c => c.trim())
+            results = results.filter(r => cuis.indexOf(r.cui) !== -1)
+          }
+        }
+        return results
+      }
+      searchByTerm()
+    }, 500)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.select-option {
+  white-space: pre-wrap;
+  padding: 3px 0;
+}
+.select-option-cui {
+  opacity: 50%;
+  padding: 3px 0;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue b/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue
new file mode 100644
index 000000000..e51d46983
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue
@@ -0,0 +1,276 @@
+<template>
+  <div class="sidebar">
+    <div class="title">Concept Summary</div>
+    <div class="summary">
+      <table class="concept-detail-table">
+        <tbody>
+        <tr>
+          <td>Annotated Text</td>
+          <td class="fit-content ent-name">{{selectedEnt !== null ? selectedEnt.value : 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Name</td>
+          <td>
+            <span v-if="!altSearch">{{conceptSummary['Name'] || 'n/a'}}</span>
+            <span v-if="altSearch" class="alt-concept-picker" @keyup.stop>
+              <concept-picker :restrict_concept_lookup="project.restrict_concept_lookup"
+                              :cui_filter="project.cuis"
+                              :cdb_search_filter="project.cdb_search_filter"
+                              :concept_db="project.concept_db"
+                              @pickedResult:concept="selectedCorrectCUI"></concept-picker>
+              <font-awesome-icon class="cancel" icon="times-circle" @click="cancelReassign"></font-awesome-icon>
+            </span>
+          </td>
+        </tr>
+        <tr v-if="conceptSummary['Type IDs'] !== 'unk' ">
+          <td>Type IDs</td>
+          <td>{{(conceptSummary['Type IDs']|| []).join(', ') || 'n/a'}}</td>
+        </tr>
+        <tr v-if="conceptSummary['Semantic Type']">
+          <td>Semantic Type</td>
+          <td>{{conceptSummary['Type']  || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Concept ID</td>
+          <td>{{conceptSummary['Concept ID'] || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Accuracy</td>
+          <td>{{conceptSummary['Accuracy'] ?  conceptSummary['Accuracy'].toFixed(2) : 'n/a'}}</td>
+        </tr>
+        <tr v-for="(taskKey, index) of Object.keys(selectedEnt && selectedEnt.length ? selectedEnt.assignedValues : {})" :key="index">
+          <td>{{taskKey}}</td>
+          <td>{{conceptSummary[taskKey] || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Synonyms</td>
+          <td class="fit-content" v-html="(conceptSummary.Synonyms || []).join('<br>')"></td>
+        </tr>
+        <tr v-if="(conceptSummary['Description'] || []).length > 0">
+          <td>Description</td>
+          <td class="fit-content" v-html="conceptSummary.Description === 'nan' ? 'n/a' : conceptSummary.Description || 'n/a'"></td>
+        </tr>
+        <tr @keyup.stop v-if="(project || {}).enable_entity_annotation_comments">
+          <td>Comment</td>
+          <td><textarea v-model="(selectedEnt || {}).comment" @keyup="updateComment" class="form-control"></textarea></td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+
+const HIDDEN_PROPS = [
+  'value', 'project', 'document', 'start_ind', 'end_ind',
+  'entity', 'assignedValues', 'id', 'user', 'deleted'
+]
+
+const PROP_MAP = {
+  'acc': 'Accuracy',
+  'desc': 'Description',
+  'type_ids': 'Type IDs',
+  'semantic_type': 'Type',
+  'cui': 'Concept ID',
+  'icd10': 'ICD-10',
+  'opcs4': 'OPCS-4',
+  'pretty_name': 'Name',
+  'synonyms': 'Synonyms'
+}
+
+const CONST_PROPS_ORDER = [
+  'Name', 'Description', 'Type', 'Type IDs', 'Concept ID', 'ICD-10', 'OPCS-4', 'Accuracy', 'Synonyms'
+]
+
+export default {
+  name: 'ConceptSummary',
+  components: {
+    ConceptPicker
+  },
+  props: {
+    project: Object,
+    selectedEnt: {
+      type: Object,
+      default () {
+        return null
+      }
+    },
+    altSearch: Boolean,
+    searchFilterDBIndex: String
+  },
+  mixins: [ConceptDetailService],
+  emits: [
+    'select:altConcept',
+    'select:alternative',
+    'updated:entityComment'
+  ],
+  data () {
+    return {
+      conceptSummary: {},
+      searchResults: [],
+      selectedCUI: null
+    }
+  },
+  methods: {
+    cleanProps () {
+      this.conceptSummary = {}
+      if (this.selectedEnt && Object.keys(this.selectedEnt).length) {
+        // remove props
+        let ent = Object.keys(this.selectedEnt)
+          .filter(k => !HIDDEN_PROPS.includes(k))
+          .reduce((obj, key) => {
+            obj[key] = this.selectedEnt[key]
+            return obj
+          }, {})
+
+        // flatten task vals
+        for (const [k, v] of Object.entries(this.selectedEnt.assignedValues)) {
+          ent[k] = v || 'n/a'
+        }
+
+        // pretty print props:
+        for (const [prop, name] of Object.entries(PROP_MAP)) {
+          if (ent[prop]) { ent[name] = ent[prop] }
+          delete ent[prop]
+        }
+
+        // order the keys to tuples.
+        let props = CONST_PROPS_ORDER.concat(Object.keys(this.selectedEnt.assignedValues))
+        for (let k of props) {
+          this.conceptSummary[k] = ent[k]
+        }
+
+        // show ICD and OPCS lists with special settings for selected ICD/OPCS codes.
+      }
+    },
+    selectedCorrectCUI (item) {
+      if (item) {
+        this.$emit('select:altConcept', item)
+        this.searchResults = []
+        this.selectedCUI = null
+      }
+    },
+    cancelReassign () {
+      this.$emit('select:alternative', false)
+      this.searchResults = []
+      this.selectedCUI = null
+    },
+    keyup (e) {
+      if (this.altSearch && e.keyCode === 27) {
+        this.cancelReassign()
+      }
+    },
+    updateComment: _.debounce(function () {
+      this.$emit('updated:entityComment', this.selectedEnt)
+    }, 500)
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  },
+  watch: {
+    'selectedEnt': {
+      handler () {
+        const that = this
+        that.fetchDetail(this.selectedEnt, this.searchFilterDBIndex, () => {
+          that.cleanProps()
+        })
+      }
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.summary {
+  height: calc(100% - 41px);
+  overflow-y: auto;
+}
+
+.ent-name {
+  padding: 10px;
+  font-size: 12pt;
+}
+
+.sidebar {
+  background: $background;
+  color: $text;
+}
+
+.cui-mappings {
+  white-space: pre-wrap;
+}
+
+.concept-detail-table {
+  width: 100%;
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+    > td {
+      padding: 5px 10px;
+      vertical-align: top;
+
+      &:first-child {
+        width: 150px;
+      }
+
+      &.fit-content {
+        display: inline-block;
+        max-height: 150px;
+        overflow-y: auto;
+        width: 100%;
+      }
+    }
+  }
+}
+
+.picker {
+  width: calc(100% - 30px);
+  display: inline-block;
+}
+
+.select-option {
+  white-space: pre-wrap;
+}
+
+.cui-btns {
+  opacity: 0.7;
+  float: right;
+  position: relative;
+
+  &:hover {
+    opacity: 0.9;
+    cursor: pointer;
+  }
+}
+
+.edit {
+  @extend .cui-btns;
+  top: 7px;
+}
+
+.cancel {
+  @extend .cui-btns;
+  top: 10px;
+}
+
+.selectable-code {
+  padding: 2px 3px;
+
+  &:hover {
+    cursor: pointer;
+    background-color: $color-2;
+  }
+}
+
+.selected-code {
+  float: right;
+  color: $success
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue b/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue
new file mode 100644
index 000000000..3f1e97a2b
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue
@@ -0,0 +1,247 @@
+<template>
+  <div class="doc-summary">
+    <div class="title">
+      Clinical Notes
+      <font-awesome-icon icon="search" class="search-icon" @click="activateSearch"></font-awesome-icon>
+    </div>
+    <div v-if="searching" class="search-docs">
+      <input id="doc-search-input" type="text" class="form-control" placeholder="Search by note name"
+             :value="searchCrit" @keyup="searchDocs">
+    </div>
+    <div v-if="loadingDoc" class="loading-doc"></div>
+
+    <div id="doc-sum-list" class="doc-list">
+      <div v-for="doc of (searchCrit ? filteredDocs : docs)" :key="doc.id" class="doc clickable"
+           :class="{'selected-doc': selectedDocId === doc.id}" @click="loadDoc(doc)">
+        <font-awesome-icon :id="'doc-sub-' + doc.id"
+                           v-if="validatedDocIds.includes(doc.id)"
+                           class="validated-doc" icon="check"></font-awesome-icon>
+        <font-awesome-icon :id="'doc-prep-' + doc.id"
+                           v-if="preparedDocIds.includes(doc.id)"
+                           class="prepared-doc"
+                           icon="clipboard-check"></font-awesome-icon>
+
+        <div class="note-summary">
+          {{doc.text === 'nan' ? '' : (limitText(doc.text) || '')}}
+        </div>
+        <v-tooltip activator="parent"
+                   v-if="preparedDocIds.includes(doc.id) || completeBgTasks                                   .includes(doc.id)">
+          Predictions ready for Doc: {{doc.id}}
+        </v-tooltip>
+        <v-tooltip activator="parent"
+                   v-if="validatedDocIds.includes(doc.id)">
+          Doc: {{doc.id}} complete
+        </v-tooltip>
+      </div>
+      <div class="clickable">
+        <div v-if="moreDocs" @click="loadMoreDocs" class="more-docs">
+          <font-awesome-icon icon="plus" class="icon"></font-awesome-icon>More Docs
+        </div>
+      </div>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'DocumentSummary',
+  props: {
+    projId: Number,
+    docs: Array,
+    moreDocs: Boolean,
+    selectedDocId: Number,
+    loadingDoc: Boolean,
+    validatedDocIds: Array,
+    preparedDocIds: Array
+  },
+  emits: [
+    'request:nextDocSet',
+    'request:loadDoc'
+  ],
+  data () {
+    return {
+      searching: false,
+      filteredDocs: [],
+      searchCrit: null,
+      hoverDoc: null,
+      completeBgTasks: [],
+      runningBgTasks: []
+    }
+  },
+  methods: {
+    scrollSelectedDocId () {
+      const el = document.getElementsByClassName('selected-doc')
+      if (el.length > 0) {
+        el[0].scrollIntoView({
+          block: 'center',
+          behavior: 'smooth'
+        })
+      }
+    },
+    loadMoreDocs () {
+      this.$emit('request:nextDocSet')
+    },
+    loadDoc (docId) {
+      this.$emit('request:loadDoc', docId)
+    },
+    keyup (e) {
+      if (!this.loadingDoc && e.keyCode === 40 && this.selectedDocId !== this.docs.slice(-1).id) {
+        // down
+        this.$emit('request:loadDoc', this.docs[this.docs.map(d => d.id).indexOf(this.selectedDocId) + 1])
+        this.$nextTick(this.scrollSelectedDocId)
+      } else if (!this.loadingDoc && e.keyCode === 38 && this.selectedDocId !== this.docs[0].id && !this.loadingDoc) {
+        // up
+        this.$emit('request:loadDoc', this.docs[this.docs.map(d => d.id).indexOf(this.selectedDocId) - 1])
+        this.$nextTick(this.scrollSelectedDocId)
+      }
+    },
+    activateSearch () {
+      this.searching = !this.searching
+      if (this.searching) {
+        // keyboard focus on that element.
+        setTimeout(function () {
+          const el = document.getElementById('doc-search-input')
+          el.focus()
+        }, 50)
+      } else {
+        this.searchCrit = null
+      }
+    },
+    searchDocs (event) {
+      this.searchCrit = event.target.value
+      if (this.searchCrit) {
+        this.filteredDocs = this.docs.filter(d => {
+          return d.name.toLowerCase().startsWith(this.searchCrit.toLowerCase())
+        })
+      } else {
+        this.filteredDocs = []
+      }
+    },
+    limitText (value) {
+      value = value.trim()
+      let splitText = value.split('\n')
+      if (splitText.length > 5) {
+        return splitText.slice(0, 5).join('\n')
+      }
+      return value
+    }
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  },
+}
+</script>
+
+<style scoped lang="scss">
+@import "bootstrap";
+
+$width: 175px;
+
+.title {
+  padding: 5px 10px;
+  font-size: 16pt;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+}
+
+.doc-summary {
+  flex: 0 0 $width;
+  padding: 5px;
+  position: relative;
+  background: $background;
+}
+
+.doc-list {
+  overflow: auto;
+  height: calc(100% - 41px);
+  width: $width;
+}
+
+.doc {
+  position: relative;
+  padding: 5px 3px;
+  border-radius: 5px;
+  color: $color-5;
+  margin: 15px 15px;
+  box-shadow: 2px 1px 4px 3px rgba(0,0,0,0.2);
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+.prepared-doc {
+  color: $color-1;
+  position: absolute;
+  font-size: 15px;
+  left: -7px;
+}
+
+.selected-doc {
+  border-left: 5px solid $primary;
+}
+
+.validated-doc {
+  float: right;
+  color: $success
+}
+
+.clickable {
+  cursor: pointer;
+}
+
+.loading-doc {
+  position: absolute;
+  height: 100%;
+  width: 100%;
+  background: $loading-background-color;
+  opacity: 0.3;
+}
+
+.more-docs {
+  color: $primary;
+  text-align: center;
+
+  .icon {
+    position: relative;
+    bottom: 2px;
+    padding-right: 3px;
+  }
+}
+
+.note-summary {
+  white-space: pre-wrap;
+  font-size: 10px;
+  overflow: hidden;
+  position: relative;
+  height: 6em; /* 5 lines */
+
+  &:after {
+    content: "";
+    text-align: right;
+    position: absolute;
+    bottom: 0;
+    right: 0;
+    width: 80%;
+    height: 1.2em;
+  }
+}
+
+.search-icon {
+  font-size: 10pt;
+  vertical-align: center;
+  opacity: 0.5;
+  text-align: right;
+
+  &:hover {
+    opacity: 1;
+  }
+}
+
+.search-docs {
+  width: 100%;
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/Login.vue b/medcat-trainer/webapp/frontend/src/components/common/Login.vue
new file mode 100644
index 000000000..087741d29
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/Login.vue
@@ -0,0 +1,126 @@
+<template>
+    <div v-if="!useOidc">
+      <modal class="login" :closable="closable" @modal:close="$emit('login:close')">
+        <template #header>
+          <h3>Login</h3>
+        </template>
+      <template #body>
+        <form @submit.prevent class="form">
+          <label>Username:</label>
+          <input v-model="uname" class="form-control" id="uname">
+          <label>Password:</label>
+          <input v-model="password" class="form-control" type="password" id="password">
+          <a v-if="reset_pw" href="/reset_password/">Forgotten Password</a>
+        </form>
+        <span v-if="failed" class="text-danger">Username and/or password incorrect</span>
+        <span v-if="failedAdminStatusCheck" class="text-danger">Cannot determine admin status of username</span>
+      </template>
+      <template #footer>
+        <button class="login-submit btn btn-primary" @click="login()">Login</button>
+      </template>
+      </modal>
+    </div>
+</template>
+
+<script>
+import Modal from '@/components/common/Modal.vue'
+import EventBus from '@/event-bus'
+import axios from 'axios'
+
+const instance = axios.create({
+  baseURL: axios.baseURL,
+  headers: {}
+})
+
+export default {
+  name: 'Login',
+  props: {
+    closable: Boolean
+  },
+  emits: [
+    'login:success',
+    'login:close'
+  ],
+  components: {
+    Modal
+  },
+  data () {
+    return {
+      uname: '',
+      password: '',
+      failed: false,
+      failedAdminStatusCheck: false,
+      reset_pw: import.meta.env.VITE_APP_EMAIL === '1',
+      useOidc: import.meta.env.VITE_USE_OIDC === '1'
+    }
+  },
+  methods: {
+    login () {
+      let payload = {
+        username: this.uname,
+        password: this.password
+      }
+      if(!this.useOidc) {
+        instance.post('/api/api-token-auth/', payload, {}).then(resp => {
+          this.$cookies.set('api-token', resp.data.token, { expires: 7 })
+          this.$cookies.set('username', this.uname)
+          this.$http.defaults.headers.common['Authorization'] = `Token ${this.$cookies.get('api-token')}`
+          window.removeEventListener('keyup', this.keyup)
+          this.$http.get(`/api/users/?username=${this.uname}`).then(resp => {
+            if (resp.data.results.length > 0) {
+              const adminState = resp.data.results[0].is_staff || resp.data.results[0].is_superuser
+              const userId = resp.data.results[0].id
+              this.$cookies.set('admin', adminState)
+              this.$cookies.set('user-id', userId)
+              EventBus.$emit('login:success')
+            } else {
+              this.failedAdminStatusCheck = true
+              setTimeout(() => {
+                this.$cookies.set('admin', false)
+                this.$cookies.remove('user-id')
+                EventBus.$emit('login:success')
+              }, 1000)
+            }
+          }).catch(() => {
+            this.failed = true
+          })
+        }).catch(() => {
+          this.failed = true
+        })
+
+      } else{
+        EventBus.$emit('login:success')
+      }
+
+    },
+    keyup (e) {
+      if (e.keyCode === 13 && this.uname.length > 0 && this.password.length > 0) {
+        this.login()
+      }
+    }
+  },
+  created () {
+    window.addEventListener('keyup', this.keyup)
+    this.$nextTick(function () {
+      document.getElementById('uname').focus()
+    })
+  },
+  mounted () {
+    EventBus.$emit('login:success')
+  },
+}
+</script>
+
+<style lang="scss">
+.login-submit {
+  margin-top: 10px;
+}
+
+.login {
+  .modal-container {
+    width: 400px;
+  }
+}
+
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/Modal.vue b/medcat-trainer/webapp/frontend/src/components/common/Modal.vue
new file mode 100644
index 000000000..fdc11ad92
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/Modal.vue
@@ -0,0 +1,132 @@
+<template>
+  <transition name="modal">
+    <div class="modal-mask" @click="close">
+      <div class="modal-wrapper">
+        <div class="modal-container" @click.stop>
+          <font-awesome-icon v-if="closable" icon="times" class="close" @click="close"></font-awesome-icon>
+          <div class="modal-header">
+            <slot name="header">
+            </slot>
+          </div>
+
+          <div class="modal-body">
+            <slot name="body">
+            </slot>
+          </div>
+
+          <div class="modal-footer">
+            <slot name="footer">
+            </slot>
+          </div>
+        </div>
+      </div>
+    </div>
+  </transition>
+</template>
+
+<script>
+
+export default {
+  name: 'Modal',
+  emits: ['modal:close'],
+  props: {
+    closable: Boolean
+  },
+  methods: {
+    close () {
+      this.$emit('modal:close')
+    }
+  }
+}
+
+</script>
+
+<style lang="scss">
+.close {
+  opacity: 0.5;
+  float: right;
+  font-size: 1.5rem;
+
+  :hover {
+    opacity: 0.75;
+    cursor: pointer;
+  }
+}
+
+.modal-mask {
+  position: fixed;
+  z-index: 9998;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background-color: rgba(0, 0, 0, .5);
+  display: table;
+  transition: opacity .3s ease;
+}
+
+.modal-wrapper {
+  display: table-cell;
+  vertical-align: middle;
+}
+
+.modal-container {
+  width: 550px;
+  margin: 0 auto;
+  padding: 10px 15px;
+  background-color: #fff;
+  border-radius: 2px;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, .33);
+  transition: all .3s ease;
+  font-family: Helvetica, Arial, sans-serif;
+}
+
+.modal-header div {
+  width: 100%;
+}
+
+.modal-header h3 {
+  margin-top: 0;
+  text-align: left;
+  margin-left: 0;
+}
+
+.modal-header h4 {
+  display: inline-block;
+  margin-left: 0;
+}
+
+.modal-body {
+  margin: 20px 0;
+  overflow-y: auto;
+  max-height: 550px;
+}
+
+.modal-footer {
+  display: flex !important;
+  justify-content: center !important;
+}
+
+.modal-default-button {
+  float: right;
+}
+
+.modal-content {
+  border: 0;
+}
+
+.modal-enter {
+  opacity: 0;
+}
+
+.modal-leave-active {
+  opacity: 0;
+}
+
+.modal-enter .modal-container,
+.modal-leave-active .modal-container {
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue b/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue
new file mode 100644
index 000000000..2abb6395f
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue
@@ -0,0 +1,74 @@
+<template>
+  <div class="nav-bar">
+    <button :disabled="backDisabled()" @click="back()" type="button" class="btn btn-outline-warning mb-2">
+      <font-awesome-icon icon="backward"></font-awesome-icon>
+    </button>
+    <button :disabled="nextDisabled()"  @click="next()" type="button" class="btn btn-outline-warning mb-2">
+      <font-awesome-icon icon="forward"></font-awesome-icon>
+    </button>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'NavBar',
+  props: {
+    currentEnt: Object,
+    ents: Array,
+    useEnts: {
+      default () {
+        return true
+      },
+      type: Boolean
+    },
+    nextBtnDisabled: Boolean,
+    backBtnDisabled: Boolean
+  },
+  emits: [
+    'select:next',
+    'select:back'
+  ],
+  methods: {
+    nextDisabled () {
+      if (this.useEnts) {
+        return this.ents === null ? true : this.ents[this.ents.length - 1] === this.currentEnt
+      }
+      return this.nextBtnDisabled
+    },
+    backDisabled () {
+      if (this.useEnts) {
+        return this.ents === null ? true : this.ents[0] === this.currentEnt
+      }
+      return this.backBtnDisabled
+    },
+    next () {
+      this.$emit('select:next')
+    },
+    back () {
+      this.$emit('select:back')
+    },
+    keyup (e) {
+      if (e.keyCode === 37 && !this.backDisabled()) {
+        this.back()
+      } else if (!this.nextDisabled() && (e.keyCode === 39 || e.keyCode === 32)) {
+        this.next()
+      }
+    }
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.nav-bar {
+  width: 95px;
+  display: inline-block;
+  background: $background;
+  color: $text;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue b/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue
new file mode 100644
index 000000000..c79e8eafd
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue
@@ -0,0 +1,580 @@
+<template>
+  <div class="full-height project-table">
+    <div class="table-container">
+      <v-overlay :model-value="loadingProjects"
+                 :disabled="true"
+                 :persistent="true"
+                 color="primary"
+                 class="align-center justify-center"
+                 activator="parent">
+        <v-progress-circular indeterminate color="primary"></v-progress-circular>
+        <span class="overlay-message">Loading Projects...</span>
+      </v-overlay>
+      <v-data-table id="projectTable"
+                    :key="tableKey"
+                    :headers="isAdmin ? projects.headers : projects.headers.filter(f => projects.adminOnlyFields.indexOf(f.value) === -1)"
+                    :items="projectItems"
+                    :hover="true"
+                    :items-per-page="-1"
+                    :row-props="availableProjectForMetrics"
+                    v-if="!loadingProjects"
+                    @click:row="select"
+                    hide-default-footer>
+        <template #header.metrics>
+          Metrics
+          <v-tooltip activator="parent">
+            Access the metrics view for a single or group of projects
+          </v-tooltip>
+        </template>
+        <template #header.cuis>
+          Concepts
+          <v-tooltip activator="parent">
+            <div>The list of Concept Unique Identifiers (CUIs) to be annotated in a project.</div>
+            <div>'All' indicates there is no filter</div>
+          </v-tooltip>
+        </template>
+        <template #header.status>
+          Project Status
+          <v-tooltip activator="parent">
+            <div>
+              <font-awesome-icon class="status-cell" icon="pen"></font-awesome-icon> - project is actively annotating
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell danger" icon="times"></font-awesome-icon> - project marked as discontinued (failed)
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell complete-project success" icon="check"></font-awesome-icon> - project is complete
+            </div>
+          </v-tooltip>
+        </template>
+        <template #header.anno_class>
+          Annotation Dataset
+          <v-tooltip activator="parent">
+            Annotation set classification.
+            <div>
+              <font-awesome-icon class="status-cell" icon="minus"></font-awesome-icon> indicates 'local' annotations are collected specific to this project's use case / clinical area.
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell success" icon="globe"></font-awesome-icon> indicates global annotations are collected suitable for use within a global model.
+            </div>
+          </v-tooltip>
+        </template>
+        <template #header.progress>
+          Progress
+          <v-tooltip activator="parent">
+            Number of validated documents / total number of documents configured in the project
+          </v-tooltip>
+        </template>
+
+        <template #item.locked="{ item }">
+          <font-awesome-icon v-if="item.project_locked" class="status-locked" icon="lock"></font-awesome-icon>
+          <font-awesome-icon v-if="!item.project_locked" class="status-unlocked" icon="lock-open"></font-awesome-icon>
+        </template>
+        <template #item.create_time="{ item }">
+          {{new Date(item.create_time).toLocaleDateString()}}
+        </template>
+        <template #item.last_modified="{ item }">
+          {{new Date(item.last_modified).toLocaleString()}}
+        </template>
+        <template #item.cuis="{ item }">
+          <div class="term-list">{{item.cuis.slice(0, 40) || 'All'}}</div>
+        </template>
+        <template #item.require_entity_validation="{ item }">
+          {{item.require_entity_validation ? 'Annotate' : 'Validate'}}
+        </template>
+        <template #item.status="{ item }">
+          <font-awesome-icon v-if="item.project_status === 'A'" class="status-cell" icon="pen"></font-awesome-icon>
+          <font-awesome-icon v-if="item.project_status === 'D'" class="status-cell danger" icon="times"></font-awesome-icon>
+          <font-awesome-icon v-if="item.project_status === 'C'" class="status-cell complete-project success" icon="check"></font-awesome-icon>
+        </template>
+        <template #item.anno_class="{ item }">
+          <font-awesome-icon v-if="item.annotation_classification" class="status-cell success" icon="globe"></font-awesome-icon>
+          <font-awesome-icon v-if="!item.annotation_classification" class="status-cell" icon="minus"></font-awesome-icon>
+        </template>
+        <template #item.cdb_search_filter="{ item }">
+          <span v-if="cdbSearchIndexStatus[item.cdb_search_filter]">
+            <font-awesome-icon icon="check" class="success"></font-awesome-icon>
+            <v-tooltip activator="parent" >Concept DB search available</v-tooltip>
+          </span>
+          <span v-if="!cdbSearchIndexStatus[item.cdb_search_filter]">
+            <font-awesome-icon  icon="times" class="danger"></font-awesome-icon>
+            <v-tooltip activator="parent">
+              <div>Project concept search not available.</div>
+              <div>Check the project setup 'CDB search filter' option is set and correctly imported</div>
+            </v-tooltip>
+          </span>
+        </template>
+        <template #item.model_loaded="{ item }">
+          <div v-if="modelLoaded[item.id]" @click.stop>
+            <button class="btn btn-outline-success model-up">
+              <font-awesome-icon icon="times" class="clear-model-cache" @click="clearLoadedModel(item.id)"></font-awesome-icon>
+              <font-awesome-icon icon="fa-cloud-arrow-up"></font-awesome-icon>
+            </button>
+          </div>
+          <div v-if="!modelLoaded[item.id]" @click.stop>
+            <button class="btn btn-outline-secondary" @click="loadProjectCDB(item.id)">
+              <font-awesome-icon v-if="loadingModel !== item.id" icon="fa-cloud-arrow-up"></font-awesome-icon>
+              <font-awesome-icon v-if="loadingModel === item.id" icon="spinner" spin></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+        <template #item.run_model="{ item }">
+          <div @click.stop>
+            <button :disabled="runningBgTasks.has(item.id) || completeBgTasks.has(item.id)"
+                    @click="runModel(item.id)"
+                    class="run-model btn btn-outline-primary">
+              <font-awesome-icon class=" model-bg-run-comp" icon="check"
+                                 v-if="completeBgTasks.has(item.id)"></font-awesome-icon>
+              <font-awesome-icon v-if="runningBgTasks.has(item.id)" icon="spinner" spin></font-awesome-icon>
+              <font-awesome-icon v-if="!runningBgTasks.has(item.id)" icon="robot"></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+        <template #item.metrics="{ item }">
+          <div  @click.stop>
+            <button class="btn"
+                    :class="{'btn-primary': selectedProjects.indexOf(item) !== -1, 'btn-outline-primary': selectedProjects.indexOf(item) === -1}"
+                    @click="selectProject(item)">
+              <font-awesome-icon icon="fa-chart-pie"></font-awesome-icon>
+            </button>
+            <v-tooltip activator="parent">
+              Once selected, only projects <br>
+              configured to use the same MedCAT <br>
+              model will be available
+            </v-tooltip>
+          </div>
+        </template>
+        <template #item.save_model="{ item }">
+          <div @click.stop>
+            <button class="btn btn-outline-primary" :disabled="saving" @click="saveModel(item.id)"><font-awesome-icon icon="save"></font-awesome-icon></button>
+          </div>
+
+        </template>
+        <template #item.progress="{ item }">
+          <v-progress-linear
+            v-model="item.progress"
+            color="#32ab60"
+            height="30px"
+            :max="item.progress_max">
+             <span>{{item.progress}}</span> / <span>{{item.progress_max}}</span>
+          </v-progress-linear>
+        </template>
+      </v-data-table>
+    </div>
+    <div>
+      <transition name="alert"><div class="alert alert-primary" v-if="saving" role="alert">Saving models</div></transition>
+      <transition name="alert"><div class="alert alert-primary" v-if="modelSaved" role="alert">Model Successfully saved</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="modelSavedError" role="alert">Error saving model</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="runModelBgError" role="alert">Error running model in background</div></transition>
+      <transition name="alert"><div class="alert alert-primary" v-if="loadingModel" role="alert">Loading model</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="modelCacheLoadError" role="alert">Error loading MedCAT model for project</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="projectLockedWarning" role="alert">Unable load a locked project. Contact your CogStack administrator to unlock</div></transition>
+      <transition name="alert"><div class="alert alert-info " v-if="metricsJobId">
+        Submitted Metrics job {{metricsJobId.metrics_job_id}}. Check the
+        <router-link to="metrics-reports/">/metrics-reports/</router-link>
+        page for your results</div>
+      </transition>
+      <transition name="alert"><div class="alert alert-info submit-report-job-alert" v-if="selectedProjects.length > 0">
+        Submit metrics report run for selected projects
+        <button class="btn btn-outline-primary load-metrics" @click="submitMetricsReportReq">
+          <font-awesome-icon icon="chevron-right"></font-awesome-icon>
+        </button>
+      </div></transition>
+    </div>
+
+    <modal v-if="clearModelModal" :closable="true" @modal:close="clearModelModal = false">
+      <template #header>
+        <h3>Confirm Clear Cached Model State</h3>
+      </template>
+      <template #body>
+        <p>Confirm clearing cached MedCAT Model Project {{clearModelModal}} (and any other Projects that use the same model). </p>
+        <p>
+          This will remove any interim training done (if any).
+          To recover the cached model, re-open the project(s), and re-submit all documents.
+          If you're unsure you should not clear the model state.
+        </p>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmClearLoadedModel(clearModelModal)">Confirm</button>
+        <button class="btn btn-default" @click="clearModelModal = false">Cancel</button>
+      </template>
+    </modal>
+
+    <modal v-if="cancelRunningBgTaskModal" :closable="true" @modal:close="cancelRunningBgTaskModal = null">
+      <template #header>
+        <h3>Background Model Predictions</h3>
+      </template>
+      <template #body>
+        <v-progress-linear :max="cancelRunningBgTaskModal.dsCount"
+                           v-model="cancelRunningBgTaskModal.prepCount"
+                           height="20px" class="animate" striped color="primary">
+          <span><strong>{{ cancelRunningBgTaskModal.prepCount }} / {{ cancelRunningBgTaskModal.dsCount }}</strong></span>
+        </v-progress-linear>
+        <div class="cancel-dialog-body" v-if="cancelRunningBgTaskModal.prepCount < cancelRunningBgTaskModal.dsCount">
+          Confirm to stop running model predictions in the background and enter project.
+        </div>
+        <div class="cancel-dialog-body" v-if="cancelRunningBgTaskModal.prepCount === cancelRunningBgTaskModal.dsCount">
+          Model predictions ready.
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmCancelBgTaskStop()">
+          <span v-if="cancelRunningBgTaskModal.prepCount < cancelRunningBgTaskModal.dsCount">
+            Confirm
+          </span>
+          <span v-if="cancelRunningBgTaskModal.prepCount === cancelRunningBgTaskModal.dsCount">
+            View Project
+          </span>
+        </button>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import Modal from "@/components/common/Modal.vue"
+
+export default {
+  name: "ProjectList",
+  components: { Modal},
+  props: {
+    projectItems: Array,
+    isAdmin: Boolean,
+    cdbSearchIndexStatus: Object,
+  },
+  data () {
+    return {
+      tableKey: 0,
+      modelLoaded: {},
+      projects: {
+        headers: [
+          { value: 'locked', title: ''},
+          { value: 'id', title: 'ID' },
+          { value: 'name', title: 'Title' },
+          { value: 'description', title: 'Description' },
+          { value: 'create_time', title: 'Create Time',},
+          { value: 'last_modified', title: 'Last Modified' },
+          { value: 'cuis', title: 'Concepts' },
+          { value: 'require_entity_validation', title: 'Annotate / Validate' },
+          { value: 'status', title: 'Status' },
+          { value: 'progress', title: 'Progress' },
+          { value: 'anno_class', title: 'Annotation Classification' },
+          { value: 'cdb_search_filter', title: 'Concepts Imported' },
+          { value: 'run_model', title: 'Run Model' },
+          { value: 'model_loaded', title: 'Model Loaded' },
+          { value: 'metrics', title: 'Metrics' },
+          { value: 'save_model', title: 'Save Model' }
+        ],
+        adminOnlyFields: [
+          'anno_class',
+          'cdb_search_filter',
+          'run_model',
+          'model_loaded',
+          'save_model'
+        ]
+      },
+      projectLockedWarning: false,
+      modelSaved: false,
+      modelSavedError: false,
+      runModelBgError: false,
+      loadingModel: false,
+      modelCacheLoadError: false,
+      metricsJobId: null,
+      saving: false,
+      clearModelModal: false,
+      selectedProjects: [],
+      loadingProjects: false,
+      runningBgTasks: new Set(),
+      completeBgTasks: new Set(),
+      cancelRunningBgTaskModal: null
+    }
+  },
+  created () {
+    this.pollDocPrepStatus()
+    this.fetchModelsLoaded()
+  },
+  methods: {
+    clearLoadedModel (projectId) {
+      this.clearModelModal = projectId
+    },
+    confirmClearLoadedModel (projectId) {
+      this.clearModelModal = false
+      this.$http.delete(`/api/cache-model/${projectId}/`).then(_ => {
+        this.fetchModelsLoaded()
+      })
+    },
+    loadProjectCDB (projectId) {
+      this.loadingModel = projectId
+      this.$http.get(`/api/cache-model/${projectId}/`).then(_ => {
+        this.loadingModel = false
+        this.fetchModelsLoaded()
+      }).catch(_ => {
+        this.modelCacheLoadError = true
+        this.loadingModel = false
+        const that = this
+        setTimeout(() => {
+          that.modelCacheLoadError = false
+        }, 5000)
+      })
+    },
+    fetchModelsLoaded () {
+      this.$http.get('/api/model-loaded/').then(resp => {
+        this.modelLoaded = resp?.data?.model_states
+      })
+    },
+    selectProject (project) {
+      if (this.selectedProjects.indexOf(project) !== -1) {
+        this.selectedProjects.splice(this.selectedProjects.indexOf(project), 1)
+      } else {
+        this.selectedProjects.push(project)
+      }
+      this.tableKey++
+    },
+    availableProjectForMetrics (data) {
+      if (this.selectedProjects.length === 0) {
+        return {class: ''}
+      } else {
+        let disabled = !(this.selectedProjects[0].concept_db === data.item.concept_db && 
+                        this.selectedProjects[0].vocab === data.item.vocab) ||
+                        this.selectedProjects[0].model_pack !== data.item.model_pack
+        return {class: disabled ? ' disabled-row' : ''}  
+      }
+    },
+    submitMetricsReportReq () {
+      const payload = {
+        projectIds: this.selectedProjects.map(p => p.id).join(',')
+      }
+      this.selectedProjects = []
+      this.$http.post('/api/metrics-job/', payload).then(resp => {
+        this.metricsJobId = resp.data
+        setTimeout(() => {
+          this.metricsJobId = null
+        }, 15000)
+      })
+    },
+    select (_, { item }) {
+      let project = item
+      if (project) {
+        if (project.project_locked) {
+          this.projectLockedWarning = true
+          const that = this
+          setTimeout(() => {
+            that.projectLockedWarning = false
+          }, 5000)
+        } else if (this.runningBgTasks.has(project.id)) {
+          this.bgTaskStatus(project)
+        } else {
+          this.$router.push({
+            name: 'train-annotations',
+            params: {
+              projectId: project.id
+            }
+          })
+        }
+      }
+    },
+    runModel (projectId) {
+      let payload = {
+        project_id: projectId
+      }
+      this.runningBgTasks = new Set([...this.runningBgTasks, projectId])
+      this.$http.post('/api/prepare-documents-bg/', payload).then(_ => {
+      }).catch(_ => {
+        this.runModelBgError = true
+        const that = this
+        setTimeout(function () {
+          that.runModelBgError = false
+        }, 5000)
+      })
+    },
+    saveModel (projectId) {
+      let payload = {
+        project_id: projectId
+      }
+      this.saving = true
+      this.$http.post('/api/save-models/', payload).then(() => {
+        this.saving = false
+        this.modelSaved = true
+        const that = this
+        setTimeout(() => {
+          that.modelSaved = false
+        }, 5000)
+      }).catch(() => {
+        this.saving = false
+        this.modelSavedError = true
+        const that = this
+        setTimeout(function () {
+          that.modelSavedError = false
+        }, 5000)
+      })
+    },
+    bgTaskStatus (project) {
+      this.$http.get(`/api/prep-docs-bg-tasks/${project.id}/`).then(resp => {
+        this.cancelRunningBgTaskModal = {
+          proj: project,
+          dsCount: resp.data.dataset_len,
+          prepCount: resp.data.prepd_docs_len
+        }
+        setTimeout(() => {
+          if (this.cancelRunningBgTaskModal) {
+            this.bgTaskStatus(project)
+          }
+        }, 5000)
+      })
+    },
+    confirmCancelBgTaskStop () {
+      let project = this.cancelRunningBgTaskModal.proj
+      this.$http.delete(`/api/prep-docs-bg-tasks/${project.id}/`).then(_ => {
+        this.runningBgTasks.delete(project.id)
+      }).catch(exc => {
+        console.warn(exc)
+      }).finally(_ => {
+        this.select({}, {item: project})
+        this.cancelRunningBgTaskModal = null
+      })
+    },
+    pollDocPrepStatus () {
+      this.$http.get('/api/prep-docs-bg-tasks/').then(resp => {
+        this.completeBgTasks = new Set(resp.data.comp_tasks.map(d => d.project))
+        const newRunningTasks = new Set([
+          ...this.runningBgTasks,
+          ...resp.data.running_tasks.map(d => d.project)
+        ])
+        for (const completedTask of this.completeBgTasks) {
+          newRunningTasks.delete(completedTask)
+        }
+        this.runningBgTasks = newRunningTasks
+      })
+      setTimeout(this.pollDocPrepStatus, 8000)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+.status-cell {
+  text-align: center;
+}
+
+.status-unlocked {
+  text-align: center;
+  color: $color-1;
+  padding: 0 5px;
+  opacity: .5;
+}
+
+.status-locked {
+  @extend .status-unlocked;
+  opacity: 1;
+  color: $danger;
+}
+
+.project-table {
+  height: calc(100% - 30px);
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+}
+
+.table-container {
+  height: calc(100% - 125px);
+  overflow-y: auto;
+}
+
+.complete-project, .success {
+  color: $success;
+  font-size: 20px;
+}
+
+.danger {
+  color: $danger;
+  font-size: 20px;
+}
+
+.model-up {
+  position: relative;
+  &:hover {
+    cursor: initial !important;
+  }
+}
+
+.clear-model-cache {
+  font-size: 15px;
+  color: $task-color-2;
+  cursor: pointer;
+  position: absolute;
+  right: -5px;
+  top: -5px;
+}
+
+.selected-project {
+  font-size: 15px;
+  color: green;
+  position: relative;
+  right: -40px;
+  top: -10px;
+}
+
+.load-metrics {
+  padding: 0 5px;
+
+}
+
+
+.submit-report-job-alert {
+  text-align: right;
+}
+
+.term-list {
+  display: block;
+  max-width: 20vw;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.run-model {
+  position: relative;
+}
+
+.model-bg-run-comp {
+  color: $success;
+  font-size: 15px;
+  position: absolute;
+  right: -5px;
+  top: -5px;
+}
+
+.cancel-dialog-body {
+  padding-top: 10px;
+}
+
+.v-table > .v-table__wrapper > table > tbody > tr > td,
+.v-table > .v-table__wrapper > table > tbody > tr > th,
+.v-table > .v-table__wrapper > table > thead > tr > td,
+.v-table > .v-table__wrapper > table > thead > tr > th,
+.v-table > .v-table__wrapper > table > tfoot > tr > td,
+.v-table > .v-table__wrapper > table > tfoot > tr > th {
+  padding: 0 4px !important;
+}
+
+.v-progress-linear.animate .v-progress-linear__determinate
+{
+  animation: move 5s linear infinite;
+}
+@keyframes move {
+  0% {
+    background-position: 0 0;
+  }
+  100% {
+    background-position: 100px 100px;
+  }
+}
+
+:deep(.v-table > .v-table__wrapper > table > tbody > tr.disabled-row) {
+  pointer-events: none;
+  opacity: 0.5;
+  background-color: #f0f0f0;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue b/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue
new file mode 100644
index 000000000..e9d93e6d3
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue
@@ -0,0 +1,62 @@
+<template>
+  <v-data-table :items="items"
+                :headers="headers"
+                :hover="true"
+                hide-default-footer
+                :items-per-page="-1">
+    <template #item.status="{ item }">
+      <div id="status" :class="textColorClass(item.status)">
+        {{ item.status }}
+        <font-awesome-icon
+          icon="check-circle"
+          v-if="['Correct', 'Manually Added', 'Alternative'].includes(item.status)">
+        </font-awesome-icon>
+        <font-awesome-icon
+          icon="times-circle"
+          v-if="['Incorrect', 'Terminated', 'Irrelevant'].includes(item.status)">
+        </font-awesome-icon>
+      </div>
+    </template>
+  </v-data-table>
+</template>
+
+<script>
+export default {
+  name: 'AnnotationsTable',
+  props: {
+    items: {
+      type: Array,
+      required: true
+    },
+  },
+  data () {
+    return {
+      headers: [
+          { value: 'project', title: 'Project'},
+          { value: 'document_name', title: 'Doc. Name' },
+          { value: 'id', title: 'Annotation Id' },
+          { value: 'user', title: 'User' },
+          { value: 'cui', title: 'CUI' },
+          { value: 'concept_name', title: 'Concept' },
+          { value: 'value', title: 'text' },
+          { value: 'status', title: 'Status' }
+      ]
+    }
+  },
+  methods: {
+    textColorClass(status) {
+      return {
+        'task-color-text-0': status === 'Correct' || status === 'Manually Added',
+        'task-color-text-1': status === 'Incorrect',
+        'task-color-text-2': status === 'Terminated',
+        'task-color-text-3': status === 'Alternative',
+        'task-color-text-4': status === 'Irrelevant'
+      }
+    },
+  }
+}
+</script>
+
+<style scoped>
+
+</style>
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue b/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue
new file mode 100644
index 000000000..65b2900af
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue
@@ -0,0 +1,331 @@
+<template>
+  <div>
+    <v-row class="summary-row">
+      <v-card class="summary-card">
+        <v-card-title>Macro F1</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_f1') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Macro Precision</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_prec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Macro Recall</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_rec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro F1</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_f1') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro Precision</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_prec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro Recall</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_rec') }}%</v-card-text>
+      </v-card>
+    </v-row>
+
+    <v-data-table :items="items"
+                  :headers="headers"
+                  hide-default-footer
+                  :items-per-page="-1">
+      <template #header.concept>
+        <div>Concept</div>
+        <v-tooltip></v-tooltip>
+      </template>
+      <template #header.concept_count>
+        Concept Count
+        <v-tooltip activator="parent">Number of occurrences across the projects</v-tooltip>
+      </template>
+      <template #header.variations>
+        # Vars
+        <v-tooltip activator="parent">The count of unique variations for a concept</v-tooltip>
+      </template>
+      <template #header.variation_values>
+        Variations
+        <v-tooltip activator="parent">The unique set of variations for a concept</v-tooltip>
+      </template>
+      <template #header.count_variations_ratio>
+        Variations Ratio
+        <v-tooltip activator="parent">The ratio of number of annotations and the number of variations of a concept</v-tooltip>
+      </template>
+      <template #header>
+        CUI
+        <v-tooltip activator="parent">The Concept Unique Identifier</v-tooltip>
+      </template>
+      <template #header.cui_f1>
+        F1
+        <v-tooltip activator="parent">The harmonic mean of the recall and precision scores</v-tooltip>
+      </template>
+      <template #header.cui_prec>
+        Prec.
+        <v-tooltip activator="parent">The precision scores of a concept</v-tooltip>
+      </template>
+      <template #header.cui_rec>
+        Rec
+        <v-tooltip activator="parent">The recall scores of a concept</v-tooltip>
+      </template>
+      <template #header.tps>
+        TPs
+        <v-tooltip activator="parent">True positives - concept examples that are annotated and predicted by the model</v-tooltip>
+      </template>
+      <template #header.fns>
+        FNs
+        <v-tooltip activator="parent">False negatives - concept examples that annotated but not predicted by the model</v-tooltip>
+      </template>
+      <template #header.fps>
+        FPs
+        <v-tooltip activator="parent">False positives - concept examples that are predicted but not annotated</v-tooltip>
+      </template>
+      <template #item.variation_values="{ item }">
+        <div>{{ item.value.join(', ') }}</div>
+      </template>
+      <template #item.cui_f1="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_f1"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_f1 > 0.4}">{{item.cui_f1.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.cui_rec="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_rec"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_rec > 0.4}">{{item.cui_rec.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.cui_prec="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_prec"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_prec > 0.4}">{{item.cui_prec.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.tps="{ item }">
+        <button class="btn btn-outline-success res-btn" :disabled="item.tps === 0"
+                @click="openExamples('tp_examples', item)">
+          {{ item.tps }}
+        </button>
+      </template>
+      <template #item.fns="{ item }">
+        <button class="btn btn-outline-warning res-btn" :disabled="item.fns === 0"
+                @click="openExamples('fn_examples', item)">
+          {{ item.fns }}
+        </button>
+      </template>
+      <template #item.fps="{ item }">
+        <button class="btn btn-outline-danger res-btn" :disabled="item.fps === 0"
+                @click="openExamples('fp_examples', item)">
+          {{ item.fps }}
+        </button>
+      </template>
+    </v-data-table>
+
+    <modal v-if="showModal" :closable="true" @modal:close="clearModalData" class="examples-modal">
+      <template #header>
+        <h3>{{ modalData.title }}</h3>
+      </template>
+      <template #body>
+        <div>
+          <div v-if="modalData.type === 'fp'">
+            <p>False positive model predictions can be the result of:</p>
+            <ul>
+              <li>Alternative model predictions that are overlapping with other concepts</li>
+              <li>Genuine missed annotations by an annotator.</li>
+            </ul>
+            <p>Clicking on these annotations will not highlight this annotation as it doesn't exist in the
+              dataset </p>
+          </div>
+          <div v-if="modalData.type === 'fn'">
+            <p>False negative model predictions can be the result of:</p>
+            <ul>
+              <li>A model mistake that marked an annotation 'correct' where it should be incorrect</li>
+              <li>An annotator mistake that marked an annotation 'correct' where it should be incorrect</li>
+            </ul>
+          </div>
+          <div v-if="modalData.type === 'tp'">
+            <p>True positive model predictions are annotations that were correctly predicted by the model.</p>
+          </div>
+          <table class="table table-hover">
+            <thead>
+            <tr>
+              <th>Doc Name</th>
+              <th>CUI</th>
+              <th>Value</th>
+              <th>Accuracy</th>
+              <th>Text</th>
+            </tr>
+            </thead>
+            <tbody>
+            <anno-result v-for="(res, key) of modalData.results" :key="key" :result="res"
+                         :type="modalData.type" :doc-text="textFromAnno(res)"></anno-result>
+            </tbody>
+          </table>
+        </div>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import AnnoResult from '@/components/anns/AnnoResult.vue'
+import Modal from '@/components/common/Modal.vue'
+
+export default {
+  name: 'ConceptSummary',
+  components: {
+    AnnoResult,
+    Modal
+  },
+  props: {
+    items: {
+      type: Array,
+      required: true
+    },
+    docs2text: {
+      type: Object,
+      required: true
+    }
+  },
+  data() {
+    return {
+      showModal: false,
+      modalData: {
+        results: null,
+        title: null,
+        type: null
+      },
+      headers: [
+          {value: 'concept_name', title: 'Concept Name'},
+          { value: 'concept_count' },
+          { value: 'variations' },
+          { value: 'variation_values', title: ''},
+          { value: 'count_variations_ratio', title: 'Variation Ratio' },
+          { value: 'cui', title: 'CUI' },
+          { value: 'cui_f1', title: 'F1' },
+          { value: 'cui_prec', title: 'Prec.' },
+          { value: 'cui_rec', title: 'Rec.' },
+          { value: 'tps', title: 'TPs' },
+          { value: 'fns', title: 'FNs' },
+          { value: 'fps', title: 'FPs' }
+        ]
+    }
+  },
+  methods: {
+    calculateMacroAverage(metric) {
+      if (!this.items || this.items.length === 0) {
+        return '0.0'
+      }
+      const sum = this.items.reduce((acc, item) => acc + item[metric], 0)
+      return ((sum / this.items.length) * 100).toFixed(1)
+    },
+    calculateMicroAverage(metric) {
+      if (!this.items || this.items.length === 0) {
+        return '0.0'
+      }
+      let totalTPs = 0
+      let totalFPs = 0
+      let totalFNs = 0
+
+      this.items.forEach(item => {
+        totalTPs += item.tps
+        totalFPs += item.fps
+        totalFNs += item.fns
+      })
+
+      let precision = totalTPs / (totalTPs + totalFPs)
+      let recall = totalTPs / (totalTPs + totalFNs)
+      let f1 = 2 * (precision * recall) / (precision + recall)
+
+      switch(metric) {
+        case 'cui_prec':
+          return (precision * 100).toFixed(1)
+        case 'cui_rec':
+          return (recall * 100).toFixed(1)
+        case 'cui_f1':
+          return (f1 * 100).toFixed(1)
+        default:
+          return '0.0'
+      }
+    },
+    openExamples(exampleType, item) {
+      if (exampleType === 'tp_examples') {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - True Positive Model Predictions`
+        this.modalData.type = 'tp'
+      } else if (exampleType === 'fp_examples') {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - False Positive Model Predictions`
+        this.modalData.type = 'fp'
+      } else {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - False Negative Model Predictions`
+        this.modalData.type = 'fn'
+      }
+      const idx = this.items.indexOf(item)
+      this.modalData.results = this.items[idx][exampleType]
+      this.showModal = true
+    },
+    clearModalData() {
+      this.modalData = {
+        results: null,
+        title: null,
+        type: null
+      }
+      this.showModal = false
+    },
+    textFromAnno(anno) {
+      const docId = anno['document id']
+      return this.docs2text[docId]
+    }
+  }
+}
+</script>
+
+<style>
+.good-perf {
+  color: #E5EBEA;
+}
+
+.perf-progress {
+  width: 50px;
+}
+
+.res-btn {
+  height: 25px;
+  padding: 3px 10px !important;
+  border: 0 !important;
+}
+
+.res-btn:hover {
+  color: white !important;
+}
+
+.v-card {
+  max-height: 80vh;
+  overflow-y: auto;
+}
+
+.examples-modal .modal-container {
+  width: 90%;
+}
+</style>
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue b/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue
new file mode 100644
index 000000000..019529e9a
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue
@@ -0,0 +1,56 @@
+<template>
+  <div class="perf-progress">
+    <v-progress-linear
+        :model-value="value"
+        :color="color"
+        :background-color="backgroundColor"
+        :height="height"
+        :max="1.0">
+      <span :class="{'good-perf': value > threshold}">
+        {{ value.toFixed(decimals) }}
+      </span>
+    </v-progress-linear>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'MetricCell',
+  props: {
+    value: {
+      type: Number,
+      required: true
+    },
+    color: {
+      type: String,
+      default: '#32AB60'
+    },
+    backgroundColor: {
+      type: String,
+      default: '#46B480'
+    },
+    height: {
+      type: [String, Number],
+      default: '30px'
+    },
+    threshold: {
+      type: Number,
+      default: 0.4
+    },
+    decimals: {
+      type: Number,
+      default: 2
+    }
+  }
+}
+</script>
+
+<style scoped>
+.perf-progress {
+  width: 100%;
+}
+
+.good-perf {
+  color: #E5EBEA;
+}
+</style>
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue b/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue
new file mode 100644
index 000000000..0f59202f2
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue
@@ -0,0 +1,179 @@
+<template>
+  <div class="mc-tree-container">
+    <div class="zoom-controls">
+      <button class="btn btn-default" @click="zoomIn"><font-awesome-icon icon="plus"></font-awesome-icon></button>
+      <button  class="btn btn-default" @click="zoomOut"><font-awesome-icon icon="minus"></font-awesome-icon></button>
+      <button class="btn btn-default" @click="resetZoom">1:1</button>
+    </div>
+    <v-overlay :model-value="loading"
+               class="align-center justify-center"
+               color="primary"
+               activator="parent"
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+      <span class="overlay-message">Retrieving Concept Tree...</span>
+    </v-overlay>
+    <div class="mc-tree-view">
+      <vue-tree
+        style="width: 1500px; height: 1000px;"
+        :dataset="cdbData"
+        :config="treeConfig"
+        :direction="'vertical'"
+        :linkStyle="'straight'"
+        ref="tree">
+        <template v-slot:node="{ node, collapsed }">
+          <div @click="getData(node)" class="node">
+            {{ node.pretty_name }} - {{ node.cui }}
+            <button @click.stop.prevent class="btn btn-outline select-node-btn" @click="selectNode(node)">
+              <font-awesome-icon icon="chevron-right"></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+      </vue-tree>
+    </div>
+  </div>
+</template>
+
+<script>
+import VueTree from '@/components/models/VueTree.vue'
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptDatabaseViz',
+  components: { VueTree },
+  props: {
+    cdb: Object,
+    selectedCui: String
+  },
+  emits: [
+    'select:node'
+  ],
+  data () {
+    return {
+      CDB: {},
+      cdbData: {},
+      nodeCuis: [],
+      loading: false,
+      treeConfig: { nodeWidth: 120, nodeHeight: 150, levelHeight: 150 },
+      zoomSetting: 0
+    }
+  },
+  created () {
+    this.loading = true
+    this.$http.get(`api/model-concept-children/${this.cdb.id}/`).then(resp => {
+      const rootTerm = resp.data.results[0]
+      this.cdbData = {
+        pretty_name: rootTerm.pretty_name,
+        cui: rootTerm.cui,
+        _key: rootTerm.cui
+      }
+      this.getData(this.cdbData)
+    })
+  },
+  mounted () {
+    this.debouncedScroll = _.debounce(this.onScroll, 100)
+    window.addEventListener('scroll', this.debouncedScroll)
+  },
+  beforeDestroy () {
+    window.removeEventListener('scroll', this.debouncedScroll)
+  },
+  methods: {
+    getData (node) {
+      if (this.nodeCuis.indexOf(node.cui) === -1 || node.complete) {
+        this.$http.get(`api/model-concept-children/${this.cdb.id}/?parent_cui=${node.cui}`).then(resp => {
+          this.loading = false
+          node.children = resp.data.results.map(r => {
+            return {
+              pretty_name: r.pretty_name,
+              cui: r.cui,
+              _key: r.cui
+            }
+          })
+          this.nodeCuis.push(node.cui)
+        })
+      }
+    },
+    selectNode (node) {
+      this.$emit('select:node', node)
+    },
+    onScroll (e) {
+      if (this.zoomSetting < e.scrollY) {
+        this.zoomOut()
+      } else {
+        this.zoomIn()
+      }
+      this.zoomSetting = e.scrollY
+    },
+    zoomOut () {
+      this.$refs.tree.zoomOut()
+    },
+    zoomIn () {
+      this.$refs.tree.zoomIn()
+    },
+    resetZoom () {
+      this.$refs.tree.restoreScale()
+    }
+  },
+  watch: {
+    selectedCui (newVal) {
+      if (newVal) {
+        this.$http.get(`api/concept-path/?cdb_id=${this.cdb.id}&cui=${newVal}`).then(resp => {
+          this.cdbData.children = resp.data.results['node_path'].children
+          this.cdbData.links = resp.data.results['links']
+          this.cdbData.identifier = 'cui'
+        })
+      }
+      this.nodeCuis.push(newVal)
+      this.loading = false
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.mc-tree-container {
+  flex: 1 1 auto;
+  overflow-y: auto;
+  background: rgba(0, 114, 206, .2);
+  padding: 40px 40px 0 40px;
+  border-radius: 10px;
+  height: 100%;
+}
+
+.mc-tree-view {
+  background: white;
+  overflow-y: auto;
+  height: 100%;
+  box-shadow: 0 -2px 3px 2px rgba(0, 0, 0, 0.2);
+  padding: 25px;
+  white-space: pre-wrap;
+}
+
+.node {
+  width: 260px;
+  padding: 3px;
+  display: flex;
+  flex-direction: row;
+  align-items: flex-start;
+  justify-content: center;
+  font-size: .8rem;
+  color: $color-2;
+  background-color: $task-color-0;
+  opacity: 1;
+  border-radius: 3px;
+  margin: 3px;
+  box-shadow: 0 5px 5px -5px $task-color-0;
+}
+
+.zoom-controls {
+  position: absolute;
+  right: 0;
+}
+
+.select-node-btn {
+  position: absolute;
+  right: 0;
+  width: 20px;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue b/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue
new file mode 100644
index 000000000..ce1c32b5d
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue
@@ -0,0 +1,576 @@
+<template>
+  <div class="tree-container" ref="container">
+    <svg class="svg vue-tree" ref="svg" :style="initialTransformStyle"></svg>
+
+    <div
+      class="dom-container"
+      ref="domContainer"
+      :style="initialTransformStyle"
+    >
+      <transition-group name="tree-node-item" tag="div">
+        <div
+          class="node-slot"
+          v-for="(node, index) of nodeDataList"
+          @click="onClickNode(index)"
+          :key="node.data._key"
+          :style="{
+            left: formatDimension(
+              direction === DIRECTION.VERTICAL ? node.x : node.y
+            ),
+            top: formatDimension(
+              direction === DIRECTION.VERTICAL ? node.y : node.x
+            ),
+            width: formatDimension(config.nodeWidth),
+            height: formatDimension(config.nodeHeight)
+          }"
+        >
+          <slot
+            name="node"
+            v-bind:node="node.data"
+            v-bind:collapsed="node.data._collapsed"
+          >
+            <span>{{ node.data.value }}</span>
+          </slot>
+        </div>
+      </transition-group>
+    </div>
+  </div>
+</template>
+
+<script>
+/*
+ Patched version of "@ssthouse/vue-tree-chart": "^0.5.4", to include arrow points for pt2ch
+ relations. v0.6.x doesn't render multi-parent nodes, this should be replaced with graph render
+ component perhaps. Dep is still included as per OSS licence terms.
+ */
+
+import * as d3 from 'd3'
+
+function uuid() {
+  const s = []
+  const hexDigits = '0123456789abcdef'
+  for (let i = 0; i < 36; i++) {
+    s[i] = hexDigits.substr(Math.floor(Math.random() * 0x10), 1)
+  }
+  s[14] = '4'
+  s[19] = hexDigits.substr((s[19] & 0x3) | 0x8, 1)
+  s[8] = s[13] = s[18] = s[23] = '-'
+  return s.join('')
+}
+
+const MATCH_TRANSLATE_REGEX = /translate\((-?\d+)px, ?(-?\d+)px\)/i
+const MATCH_SCALE_REGEX = /scale\((\S*)\)/i
+
+const LinkStyle = {
+  CURVE: 'curve',
+  STRAIGHT: 'straight'
+}
+
+const DIRECTION = {
+  VERTICAL: 'vertical',
+  HORIZONTAL: 'horizontal'
+}
+
+const DEFAULT_NODE_WIDTH = 100
+const DEFAULT_NODE_HEIGHT = 100
+const DEFAULT_LEVEL_HEIGHT = 200
+/**
+ * Used to decrement the height of the 'initTransformY' to center diagrams.
+ * This is only a hotfix caused by the addition of '__invisible_root' node
+ * for multi root purposes.
+ */
+const DEFAULT_HEIGHT_DECREMENT = 200
+
+const ANIMATION_DURATION = 800
+
+function rotatePoint({ x, y }) {
+  return {
+    x: y,
+    y: x
+  }
+}
+
+export default {
+  name: 'VueTree',
+  props: {
+    config: {
+      type: Object,
+      default: () => {
+        return {
+          nodeWidth: DEFAULT_NODE_WIDTH,
+          nodeHeight: DEFAULT_NODE_HEIGHT,
+          levelHeight: DEFAULT_LEVEL_HEIGHT
+        }
+      }
+    },
+    linkStyle: {
+      type: String,
+      default: LinkStyle.CURVE
+    },
+    direction: {
+      type: String,
+      default: DIRECTION.VERTICAL
+    },
+    collapseEnabled: {
+      type: Boolean,
+      default: true
+    },
+    // 展示的层级数据, 样例数据如: hierachical.json
+    dataset: {
+      type: [Object, Array],
+      required: true
+    }
+  },
+  data() {
+    return {
+      d3,
+      colors: '568FE1',
+      nodeDataList: [],
+      linkDataList: [],
+      initTransformX: 0,
+      initTransformY: 0,
+      DIRECTION,
+      currentScale: 1
+    }
+  },
+  computed: {
+    initialTransformStyle() {
+      return {
+        transform: `scale(1) translate(${this.initTransformX}px, ${this.initTransformY}px)`,
+        transformOrigin: 'center'
+      }
+    },
+    _dataset() {
+      return this.updatedInternalData(this.dataset)
+    }
+  },
+  mounted() {
+    this.init()
+  },
+  methods: {
+    init() {
+      this.draw()
+      this.enableDrag()
+      this.initTransform()
+    },
+    zoomIn() {
+      const originTransformStr = this.$refs.domContainer.style.transform
+      let targetScale = 1 * 1.2
+      const scaleMatchResult = originTransformStr.match(MATCH_SCALE_REGEX)
+      if (scaleMatchResult && scaleMatchResult.length > 0) {
+        const originScale = parseFloat(scaleMatchResult[1])
+        targetScale *= originScale
+      }
+      this.setScale(targetScale)
+    },
+    zoomOut() {
+      const originTransformStr = this.$refs.domContainer.style.transform
+      // 如果已有scale属性, 在原基础上修改
+      let targetScale = 1 / 1.2
+      const scaleMatchResult = originTransformStr.match(MATCH_SCALE_REGEX)
+      if (scaleMatchResult && scaleMatchResult.length > 0) {
+        const originScale = parseFloat(scaleMatchResult[1])
+        targetScale = originScale / 1.2
+      }
+      this.setScale(targetScale)
+    },
+    restoreScale() {
+      this.setScale(1)
+    },
+    setScale(scaleNum) {
+      if (typeof scaleNum !== 'number') return
+      let pos = this.getTranslate()
+      let translateString = `translate(${pos[0]}px, ${pos[1]}px)`
+      this.$refs.svg.style.transform = `scale(${scaleNum}) ` + translateString
+      this.$refs.domContainer.style.transform =
+        `scale(${scaleNum}) ` + translateString
+      this.currentScale = scaleNum
+    },
+    getTranslate() {
+      let string = this.$refs.svg.style.transform
+      let match = string.match(MATCH_TRANSLATE_REGEX)
+      if (match === null) {
+        return [null, null]
+      }
+      let x = parseInt(match[1])
+      let y = parseInt(match[2])
+      return [x, y]
+    },
+    isVertical() {
+      return this.direction === DIRECTION.VERTICAL
+    },
+    /**
+     * Returns updated dataset by deep copying every nodes from the externalData and adding unique '_key' attributes.
+     **/
+    updatedInternalData(externalData) {
+      var data = { name: '__invisible_root', children: [] }
+      if (!externalData) return data
+      if (Array.isArray(externalData)) {
+        for (var i = externalData.length - 1; i >= 0; i--) {
+          data.children.push(this.deepCopy(externalData[i]))
+        }
+      } else {
+        data.children.push(this.deepCopy(externalData))
+      }
+      return data
+    },
+    /**
+     * Returns a deep copy of selected node (copy of itself and it's children).
+     * If selected node or it's children have no '_key' attribute it will assign a new one.
+     **/
+    deepCopy(node) {
+      let obj = { _key: uuid() }
+      for (var key in node) {
+        if (node[key] === null) {
+          obj[key] = null
+        } else if (Array.isArray(node[key])) {
+          obj[key] = node[key].map((x) => this.deepCopy(x))
+        } else if (typeof node[key] === 'object') {
+          obj[key] = this.deepCopy(node[key])
+        } else {
+          obj[key] = node[key]
+        }
+      }
+      return obj
+    },
+    initTransform() {
+      const containerWidth = this.$refs.container.offsetWidth
+      const containerHeight = this.$refs.container.offsetHeight
+      if (this.isVertical()) {
+        this.initTransformX = Math.floor(containerWidth / 2)
+        this.initTransformY = Math.floor(
+          this.config.nodeHeight - DEFAULT_HEIGHT_DECREMENT
+        )
+      } else {
+        this.initTransformX = Math.floor(
+          this.config.nodeWidth - DEFAULT_HEIGHT_DECREMENT
+        )
+        this.initTransformY = Math.floor(containerHeight / 2)
+      }
+    },
+    /**
+     * 根据link数据,生成svg path data
+     */
+    generateLinkPath(d) {
+      const self = this
+      if (this.linkStyle === LinkStyle.CURVE) {
+        const linkPath = this.isVertical()
+          ? d3.linkVertical()
+          : d3.linkHorizontal()
+        linkPath
+          .x(function (d) {
+            return d.x
+          })
+          .y(function (d) {
+            return d.y
+          })
+          .source(function (d) {
+            const sourcePoint = {
+              x: d.source.x,
+              y: d.source.y
+            }
+            return self.direction === self.DIRECTION.VERTICAL
+              ? sourcePoint
+              : rotatePoint(sourcePoint)
+          })
+          .target(function (d) {
+            const targetPoint = {
+              x: d.target.x,
+              y: d.target.y
+            }
+            return self.direction === self.DIRECTION.VERTICAL
+              ? targetPoint
+              : rotatePoint(targetPoint)
+          })
+        return linkPath(d)
+      }
+      if (this.linkStyle === LinkStyle.STRAIGHT) {
+        // the link path is: source -> secondPoint -> thirdPoint -> target
+        const linkPath = d3.path()
+        let sourcePoint = { x: d.source.x, y: d.source.y }
+        let targetPoint = { x: d.target.x, y: d.target.y }
+        if (!this.isVertical()) {
+          sourcePoint = rotatePoint(sourcePoint)
+          targetPoint = rotatePoint(targetPoint)
+        }
+        const xOffset = targetPoint.x - sourcePoint.x
+        const yOffset = targetPoint.y - sourcePoint.y
+        const secondPoint = this.isVertical()
+          ? { x: sourcePoint.x, y: sourcePoint.y + yOffset / 2 }
+          : { x: sourcePoint.x + xOffset / 2, y: sourcePoint.y }
+        const thirdPoint = this.isVertical()
+          ? { x: targetPoint.x, y: sourcePoint.y + yOffset / 2 }
+          : { x: sourcePoint.x + xOffset / 2, y: targetPoint.y }
+        linkPath.moveTo(sourcePoint.x, sourcePoint.y)
+        linkPath.lineTo(secondPoint.x, secondPoint.y)
+        linkPath.lineTo(thirdPoint.x, thirdPoint.y)
+        linkPath.lineTo(targetPoint.x, targetPoint.y)
+        return linkPath.toString()
+      }
+    },
+    draw() {
+      var [nodeDataList, linkDataList] = this.buildTree(this._dataset)
+      // Do not render the invisible root node.
+      nodeDataList.splice(0, 1)
+      linkDataList = linkDataList.filter(
+        (x) => x.source.data.name !== '__invisible_root'
+      )
+      this.linkDataList = linkDataList
+      this.nodeDataList = nodeDataList
+      const identifier = this.dataset['identifier']
+      const specialLinks = this.dataset['links']
+      if (specialLinks && identifier) {
+        for (const link of specialLinks) {
+          let parent,
+            children = undefined
+          if (identifier === 'value') {
+            parent = this.nodeDataList.find((d) => {
+              return d[identifier] == link.parent
+            })
+            children = this.nodeDataList.filter((d) => {
+              return d[identifier] == link.child
+            })
+          } else {
+            parent = this.nodeDataList.find((d) => {
+              return d['data'][identifier] == link.parent
+            })
+            children = this.nodeDataList.filter((d) => {
+              return d['data'][identifier] == link.child
+            })
+          }
+          if (parent && children) {
+            for (const child of children) {
+              const new_link = {
+                source: parent,
+                target: child
+              }
+              this.linkDataList.push(new_link)
+            }
+          }
+        }
+      }
+
+      this.svg = this.d3.select(this.$refs.svg)
+
+      const self = this
+      const links = this.svg.selectAll('.link').data(linkDataList, (d) => {
+        return `${d.source.data._key}-${d.target.data._key}`
+      })
+
+      this.svg
+        .append('defs')
+        .append('marker')
+        .attr('id', 'arrow')
+        .attr('viewBox', [0, 0, 20, 20])
+        .attr('refX', 75)
+        .attr('refY', 10)
+        .attr('markerWidth', 5)
+        .attr('markerHeight', 5)
+        .attr('orient', 'auto-start-reverse')
+        .append('path')
+        .attr('d', d3.line()([[0, 0], [0, 20], [20, 10]]))
+        .attr('stroke', 'black')
+        .attr('opacity', 1)
+
+      links
+        .enter()
+        .append('path')
+        .style('opacity', 0)
+        .transition()
+        .duration(ANIMATION_DURATION)
+        .ease(d3.easeCubicInOut)
+        .style('opacity', 1)
+        .attr('class', 'link')
+        .attr('d', function (d, i) {
+          return self.generateLinkPath(d)
+        })
+        .attr("id", "triangle")
+        .attr('marker-end', 'url(#arrow)')
+        .attr("refX", 15)
+        .attr("refY", -1.5)
+        .attr("markerWidth", 6)
+        .attr("markerHeight", 6)
+        .attr("orient", "auto")
+
+      links
+        .transition()
+        .duration(ANIMATION_DURATION)
+        .ease(d3.easeCubicInOut)
+        .attr('d', function (d) {
+          return self.generateLinkPath(d)
+        })
+      links
+        .exit()
+        .transition()
+        .duration(ANIMATION_DURATION / 2)
+        .ease(d3.easeCubicInOut)
+        .style('opacity', 0)
+        .remove()
+    },
+    buildTree(rootNode) {
+      const treeBuilder = this.d3
+        .tree()
+        .nodeSize([this.config.nodeWidth, this.config.levelHeight])
+      const tree = treeBuilder(this.d3.hierarchy(rootNode))
+      return [tree.descendants(), tree.links()]
+    },
+    enableDrag() {
+      const svgElement = this.$refs.svg
+      const container = this.$refs.container
+      let startX = 0
+      let startY = 0
+      let isDrag = false
+      // 保存鼠标点下时的位移
+      let mouseDownTransform = ''
+      container.onmousedown = (event) => {
+        mouseDownTransform = svgElement.style.transform
+        startX = event.clientX
+        startY = event.clientY
+        isDrag = true
+      }
+      container.onmousemove = (event) => {
+        if (!isDrag) return
+        const originTransform = mouseDownTransform
+        let originOffsetX = 0
+        let originOffsetY = 0
+        if (originTransform) {
+          const result = originTransform.match(MATCH_TRANSLATE_REGEX)
+          if (result !== null && result.length !== 0) {
+            const [offsetX, offsetY] = result.slice(1)
+            originOffsetX = parseInt(offsetX)
+            originOffsetY = parseInt(offsetY)
+          }
+        }
+        let newX =
+          Math.floor((event.clientX - startX) / this.currentScale) +
+          originOffsetX
+        let newY =
+          Math.floor((event.clientY - startY) / this.currentScale) +
+          originOffsetY
+        let transformStr = `translate(${newX}px, ${newY}px)`
+        if (originTransform) {
+          transformStr = originTransform.replace(
+            MATCH_TRANSLATE_REGEX,
+            transformStr
+          )
+        }
+        svgElement.style.transform = transformStr
+        this.$refs.domContainer.style.transform = transformStr
+      }
+
+      container.onmouseup = (event) => {
+        startX = 0
+        startY = 0
+        isDrag = false
+      }
+    },
+    onClickNode(index) {
+      if (this.collapseEnabled) {
+        const curNode = this.nodeDataList[index]
+        if (curNode.data.children) {
+          curNode.data._children = curNode.data.children
+          curNode.data.children = null
+          curNode.data._collapsed = true
+        } else {
+          curNode.data.children = curNode.data._children
+          curNode.data._children = null
+          curNode.data._collapsed = false
+        }
+        this.draw()
+      }
+    },
+    formatDimension(dimension) {
+      if (typeof dimension === 'number') return `${dimension}px`
+      if (dimension.indexOf('px') !== -1) {
+        return dimension
+      } else {
+        return `${dimension}px`
+      }
+    },
+    parseDimensionNumber(dimension) {
+      if (typeof dimension === 'number') {
+        return dimension
+      }
+      return parseInt(dimension.replace('px', ''))
+    }
+  },
+  watch: {
+    _dataset: {
+      deep: true,
+      handler: function () {
+        this.draw()
+        this.initTransform()
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+.tree-container {
+  .node {
+    fill: grey !important;
+  }
+
+  .link {
+    stroke-width: 2px !important;
+    fill: transparent !important;
+    stroke: #cecece !important;
+  }
+}
+</style>
+
+<style lang="scss" scoped>
+.tree-node-item-enter,
+.tree-node-item-leave-to {
+  transition-timing-function: ease-in-out;
+  transition: transform 0.8s;
+  opacity: 0;
+}
+
+.tree-node-item-enter-active,
+.tree-node-item-leave-active {
+  transition-timing-function: ease-in-out;
+  transition: all 0.8s;
+}
+
+.tree-container {
+  position: relative;
+  overflow: hidden;
+
+  .vue-tree {
+    position: relative;
+  }
+
+  > svg,
+  .dom-container {
+    width: 100%;
+    height: 100%;
+    position: absolute;
+    left: 0;
+    top: 0;
+    overflow: visible;
+    transform-origin: 0 50%;
+  }
+
+  .dom-container {
+    z-index: 1;
+    pointer-events: none;
+  }
+}
+
+.node-slot {
+  cursor: pointer;
+  pointer-events: all;
+  position: absolute;
+  background-color: transparent;
+  box-sizing: border-box;
+  transform: translate(-50%, -50%);
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  box-sizing: content-box;
+  transition: all 0.8s;
+  transition-timing-function: ease-in-out;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue b/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue
new file mode 100644
index 000000000..a49dcdfa0
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue
@@ -0,0 +1,29 @@
+<template>
+  <div>
+    <div v-for="(info, taskName, index) in descriptions" :key="index">
+      <h4>Task: {{taskName}}</h4>
+      <p>{{info.description}}</p>
+      <table class="table table-striped">
+        <thead>
+        <th>Value</th>
+        <th>Description</th>
+        </thead>
+        <tbody>
+        <tr v-for="(valueHelp, value, index) of info.values" :key="index">
+          <td>{{value}}</td>
+          <td>{{valueHelp}}</td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'HelpContent',
+  props: {
+    descriptions: Object
+  }
+}
+</script>
diff --git a/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue b/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue
new file mode 100644
index 000000000..e54da281b
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue
@@ -0,0 +1,88 @@
+<template>
+  <div>
+    <div class="task-name">{{task.name}}</div>
+    <div class="task-description">{{task.description}}</div>
+    <div class="task-values-container">
+      <button class="btn btn-outline-primary task-value"
+              :class="optionStyle(option)"
+              v-for="option of task.options" :key="option.id"
+              @click="selectTaskValue(option)">{{option.name}}
+        <span class="predicted-conf" v-if="task.predicted_value === option.id">score:{{task.acc.toFixed(3)}}</span>
+      </button>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'MetaAnnotationTask',
+  props: {
+    task: Object
+  },
+  emits: [
+    'select:metaAnno'
+  ],
+  methods: {
+    selectTaskValue (option) {
+      this.$emit('select:metaAnno', this.task, option)
+      this.$forceUpdate()
+    },
+    optionStyle (option) {
+      if (this.task.value === option.id &&
+        (this.task.validated || !this.task.predicted_value)) {
+        return 'selected'
+      } else if (this.task.predicted_value === option.id) {
+        return 'predicted'
+      }
+      return ''
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.task-name {
+  font-size: 16px;
+  padding: 10px 15px 5px 15px;
+  display: inline-block;
+  width: 125px;
+}
+
+.task-description {
+  font-size: 12px;
+  padding: 10px 15px 5px 15px;
+  vertical-align: middle;
+  display: inline-block;
+  width: calc(100% - 125px);
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.selected {
+  color: #fff;
+  background-color: $primary-alt !important;
+  border-color: $primary-alt !important;
+}
+
+.predicted {
+  background: lightgrey;
+  border-color: $primary-alt;
+}
+
+.predicted-conf {
+  font-size: 9pt;
+  display: block;
+}
+
+.task-values-container {
+  padding: 0 15px 10px 15px;
+  display: flex;
+  flex-direction: row;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+  .task-value {
+    flex: 1 1 auto;
+  }
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue b/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue
new file mode 100644
index 000000000..c729636c5
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue
@@ -0,0 +1,97 @@
+<template>
+  <div class="meta-task-container" v-if="tasks && tasks.length > 0">
+    <div class="title">Meta Annotation Tasks</div>
+    <div class="meta-task-list">
+      <meta-annotation-task v-for="task of tasks" :key="task.id"
+                            @select:metaAnno="selectedTaskAnno" :task="task"></meta-annotation-task>
+    </div>
+  </div>
+</template>
+
+<script>
+import MetaAnnotationTask from '@/components/usecases/MetaAnnotationTask.vue'
+import MetaAnnotationService from '@/mixins/MetaAnnotationService.js'
+
+export default {
+  name: 'MetaAnnotationTaskContainer',
+  components: {
+    MetaAnnotationTask
+  },
+  mixins: [MetaAnnotationService],
+  props: {
+    modelPackSet: Boolean,
+    taskIDs: Array,
+    selectedEnt: {
+      type: Object,
+      default () {
+        return {}
+      }
+    }
+  },
+  data () {
+    return {
+      tasks: Array
+    }
+  },
+  methods: {
+    selectedTaskAnno (task, option) {
+      if (task.value === option.id) {
+        if (task.validated && !task.predicted_value) {
+          // remove annotation
+          this.$http.delete(`/api/meta-annotations/${task.annotation_id}/`).then(() => {
+            task.value = null
+            task.annotation_id = null
+          })
+        } else {
+          // update prediction to validated is true.
+          task.validated = !task.validated
+          this.updateMetaAnno(task, option)
+        }
+      } else if (task.value && task.value !== option.id) {
+        // update to new value
+        task.validated = true
+        this.updateMetaAnno(task, option)
+      } else {
+        // create new
+        this.newMetaAnnotation(this.selectedEnt, task, option.id).then(resp => {
+          task.annotation_id = resp.data.id
+          task.value = resp.data.meta_task_value
+        })
+      }
+    },
+    updateMetaAnno (task, option) {
+      let payload = {
+        validated: task.validated,
+        predicted_meta_task_value: task.predicted_meta_task_value,
+        annotated_entity: this.selectedEnt.id,
+        meta_task: task.id,
+        meta_task_value: option.id
+      }
+      this.$http.put(`/api/meta-annotations/${task.annotation_id}/`, payload).then(() => {
+        task.value = option.id
+      })
+    }
+  },
+  created () {
+    const that = this
+    this.fetchMetaTasks(this.taskIDs, () => {
+      if (that.selectedEnt) {
+        that.fetchMetaAnnotations(that.selectedEnt, !this.modelPackSet)
+      }
+    })
+  },
+  watch: {
+    'taskIDs': 'fetchMetaTasks',
+    'selectedEnt': function(selectedEnt) {
+      this.fetchMetaAnnotations(selectedEnt, !this.modelPackSet)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.meta-task-list {
+  overflow-y: auto;
+  min-height: 250px;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue b/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue
new file mode 100644
index 000000000..97a30d0f7
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue
@@ -0,0 +1,144 @@
+<template>
+  <div @click.stop.prevent @click="highlightRelation" :class="{'selected-rel': isSelected}" class="relation-annotation">
+    <div class="entity" :class="startEntClass"
+         @click="selectStartEnt">{{(entityRelation.start_entity.value || '_________')}}</div>
+    <div class="relation">
+      <select @change="relChange" v-model="relChoice">
+        <option :value="rel" v-for="rel of possibleRelations" :key="rel.id">{{rel.name}}</option>
+      </select>
+    </div>
+    <div class="entity" :class="endEntClass" @click="selectEndEnt">{{(entityRelation.end_entity.value || '_________')}}</div>
+    <button class="btn btn-default clear-btn" @click="clear">
+      <font-awesome-icon icon="times"></font-awesome-icon>
+    </button>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+export default {
+  name: 'RelationAnnotation',
+  props: {
+    entityRelation: Object,
+    possibleRelations: Array,
+    selectedEnt: Object,
+    selectedRelation: Object
+  },
+  emits: [
+    'click:clearRelation',
+    'click:selectRelation',
+    'changed:relation'
+  ],
+  data () {
+    return {
+      relChoice: Object
+    }
+  },
+  created () {
+    this.relChoice = _.find(this.possibleRelations, v => v.id === this.entityRelation.relation) ||
+      this.possibleRelations[0]
+  },
+  computed: {
+    startEnt () {
+      return this.entityRelation.start_entity
+    },
+    startEntClass () {
+      return this.entRelClass(this.entityRelation.start_entity)
+    },
+    endEnt () {
+      return this.entityRelation.end_entity
+    },
+    endEntClass () {
+      return this.entRelClass(this.entityRelation.end_entity)
+    },
+    relation () {
+      return this.entityRelation.relation
+    },
+    isSelected () {
+      return this.selectedRelation === this.entityRelation
+    }
+  },
+  methods: {
+    clear () {
+      this.$emit('click:clearRelation', this.entityRelation)
+    },
+    selectStartEnt () {
+      this.$emit('changed:relation', this.entityRelation, 'start_entity', this.selectedEnt)
+      // this.startRelClass = this.entRelClass(this.selectedEnt)
+    },
+    selectEndEnt () {
+      this.$emit('changed:relation', this.entityRelation, 'end_entity', this.selectedEnt)
+      // this.endRelClass = this.entRelClass(this.selectedEnt)
+    },
+    entRelClass (selectedEnt) {
+      if (selectedEnt.correct) {
+        return 'highlight-task-0'
+      } else if (selectedEnt.deleted) {
+        return 'highlight-task-1'
+      } else if (selectedEnt.killed) {
+        return 'highlight-task-2'
+      } else if (selectedEnt.alternative) {
+        return 'highlight-task-3'
+      } else {
+        return 'entity-default'
+      }
+    },
+    highlightRelation () {
+      this.$emit('click:selectRelation')
+    },
+    relChange () {
+      this.$emit('changed:relation', this.entityRelation, 'relation', this.relChoice)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.relation-annotation {
+  text-align: left;
+  margin: 5px;
+}
+
+.entity {
+  display: inline-block;
+  border-radius: 3px;
+  cursor: pointer;
+  margin: 5px;
+  padding: 2px;
+}
+
+.entity-default {
+  background: lightgrey;
+  border: 1px solid lightgrey;
+}
+
+.entity-default-selected {
+  @extend .entity-default;
+  font-weight: bold;
+}
+
+.relation {
+  display: inline-block;
+  font-weight: bold;
+
+  select {
+    border: 0;
+    border-bottom: 1px solid #45503B;
+    padding: 2px;
+  }
+}
+
+.selected-rel {
+  box-shadow: 0 0 5px 3px rgba(0, 0, 0, 0.2)
+}
+
+.clear-btn {
+  float: right;
+  cursor: pointer;
+  opacity: 0.5;
+  &:hover {
+    opacity: 1;
+  }
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue b/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue
new file mode 100644
index 000000000..d72fe004f
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue
@@ -0,0 +1,144 @@
+<template>
+  <div @mousedown.stop class="relation-extraction-container">
+    <div class="title title-padding">Relation Annotations
+      <button class="btn btn-default add-rel-btn" @click="addNewRelation">
+        <font-awesome-icon icon="plus"></font-awesome-icon>
+      </button>
+    </div>
+
+    <div class="relation-list">
+      <relation-annotation v-for="(rel, idx) of entityRelations" :key="idx" :entity-relation="rel"
+                           :possible-relations="relations" :selected-ent="selectedEntity"
+                           :selected-relation="currRelation" @click:clearRelation="removeRelation" @change:relationEdit="editRelation"
+                           @click:selectRelation="selectedRelation(rel, idx)" @changed:relation="relationChanged"
+      ></relation-annotation>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+import RelationAnnotation from '@/components/usecases/RelationAnnotation.vue'
+
+export default {
+  name: 'RelationAnnotationTaskContainer',
+  components: { RelationAnnotation },
+  props: {
+    selectedEntity: Object,
+    availableRelations: Array,
+    projectId: {
+      required: true,
+      type: Number
+    },
+    documentId: {
+      required: true
+    },
+    currRelation: Object
+  },
+  emits: [
+      'selected:relation'
+  ],
+  data () {
+    return {
+      relations: {},
+      entityRelations: []
+    }
+  },
+  created () {
+    this.$http.get(`/api/relations/?id__in=${this.availableRelations}`).then(resp => {
+      this.relations = resp.data.results.map(r => {
+        return {
+          name: r.label,
+          id: r.id
+        }
+      })
+      this.fetchEntityRelations()
+    })
+  },
+  watch: {
+    documentId () {
+      this.fetchEntityRelations()
+    }
+  },
+  methods: {
+    fetchEntityRelations () {
+      const url = `/api/entity-relations/?project=${this.projectId}&document=${this.documentId}`
+      this.$http.get(url).then(resp => {
+        this.entityRelations = resp.data.results
+        const entIds = _.flatten(this.entityRelations.map(rel => {
+          return [rel.start_entity, rel.end_entity]
+        }))
+        this.$http.get(`/api/annotated-entities/?id__in=${entIds.join(',')}`).then(resp => {
+          for (const rel of this.entityRelations) {
+            rel.start_entity = resp.data.results.filter(e => e.id === rel.start_entity)[0]
+            rel.end_entity = resp.data.results.filter(e => e.id === rel.end_entity)[0]
+            rel.relation = this.relations.filter(r => r.id === rel.relation)[0]
+          }
+        })
+      })
+    },
+    addNewRelation () {
+      this.entityRelations.push({
+        user: Number(this.$cookies.get('user-id')),
+        project: Number(this.projectId),
+        document: Number(this.documentId),
+        relation: this.relations[0],
+        start_entity: {},
+        end_entity: {},
+        validated: false
+      })
+    },
+    removeRelation (rel) {
+      if (rel.id) {
+        this.$http.delete(`/api/entity-relations/${rel.id}/`)
+      }
+      this.entityRelations.splice(this.entityRelations.indexOf(rel), 1)
+    },
+    editRelation (rel) {
+      if (rel.start_entity.value && rel.end_entity.value && rel.relation) {
+        rel.validated = true
+        const payload = { ...rel }
+        payload.start_entity = payload.start_entity.id
+        payload.end_entity = payload.end_entity.id
+        payload.relation = payload.relation.id
+        if (rel.id) {
+          this.$http.put(`/api/entity-relations/${rel.id}/`, payload)
+        } else {
+          this.$http.post(`/api/entity-relations/`, payload).then(resp => {
+            rel.id = resp.data.id
+          })
+        }
+      }
+    },
+    selectedRelation (rel) {
+      this.$emit('selected:relation', rel)
+    },
+    relationChanged (rel, prop, val) {
+      rel[prop] = val
+      // this.$set(rel, prop, val)
+      this.editRelation(rel)
+    }
+  }
+}
+
+</script>
+
+<style scoped lang="scss">
+.relation-extraction-container {
+  max-height: 500px;
+  overflow-y: auto;
+}
+
+.title-padding {
+  padding: 5px 5px 5px 15px;
+}
+
+.add-rel-btn {
+  float: right;
+}
+
+.relation-list {
+  width: 100%;
+  overflow-y: auto;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/event-bus.ts b/medcat-trainer/webapp/frontend/src/event-bus.ts
new file mode 100644
index 000000000..1d72ff679
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/event-bus.ts
@@ -0,0 +1,8 @@
+// eventBus.js
+import emitter from 'tiny-emitter/instance'
+
+export default {
+    $on: (...args: any[]) => emitter.on(...args),
+    $off: (...args: any[]) => emitter.off(...args),
+    $emit: (...args: any[]) => emitter.emit(...args)
+}
diff --git a/medcat-trainer/webapp/frontend/src/main.ts b/medcat-trainer/webapp/frontend/src/main.ts
new file mode 100644
index 000000000..c38454084
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/main.ts
@@ -0,0 +1,83 @@
+import 'bootstrap'
+import 'bootstrap/dist/css/bootstrap.min.css'
+import 'vue-select/dist/vue-select.css'
+import 'vue-simple-context-menu/dist/vue-simple-context-menu.css'
+import 'splitpanes/dist/splitpanes.css'
+
+import '@/plugins/fontawesome'
+
+import '@/assets/main.css'
+
+import { createApp } from 'vue'
+
+import App from './App.vue'
+import router from './router'
+import axios from 'axios'
+import VueCookies from 'vue-cookies'
+import vSelect from 'vue-select'
+import VueSimpleContextMenu from 'vue-simple-context-menu'
+import { FontAwesomeIcon } from '@fortawesome/vue-fontawesome'
+
+import 'vuetify/styles'
+import { createVuetify } from 'vuetify'
+import * as components from 'vuetify/components'
+import * as directives from 'vuetify/directives'
+import {authPlugin} from "./auth";
+
+const theme ={
+  dark: false,
+  colors: {
+    primary: '#0072CE', //NHS Bright Blue
+    danger: '#DA291C', //NHS Emergency Services Red
+    warning: '#768692', // NHS Mid Grey
+    info: '#E8EDEE', // NHS Pale Grey
+    success: '#009639', // NHS Green
+  }
+}
+
+const vuetify = createVuetify({
+  components,
+  directives,
+  theme: {
+    defaultTheme: 'theme',
+    themes: {
+      theme
+    }
+  }
+})
+
+const USE_OIDC = import.meta.env.VITE_USE_OIDC === '1'
+
+async function bootstrap() {
+  const app = createApp(App)
+  app.config.globalProperties.$http = axios
+  app.component("v-select", vSelect)
+  app.component('vue-simple-context-menu', VueSimpleContextMenu)
+  app.component('font-awesome-icon', FontAwesomeIcon)
+  app.use(router)
+  app.use(VueCookies, { expires: '7d'})
+  app.use(vuetify);
+
+  console.log("Running in " + import.meta.env.MODE)
+
+  if (USE_OIDC) {
+    await authPlugin.install(app)
+  } else {
+    const apiToken = document.cookie
+      .split(';')
+      .map(s => s.trim().split('='))
+      .filter(s => s[0] === 'api-token')
+
+    if (apiToken.length) {
+      axios.defaults.headers.common['Authorization'] = `Token ${apiToken[0][1]}`
+      axios.defaults.timeout = 6000000000
+    }
+
+    app.config.globalProperties.$http = axios
+  }
+
+  app.config.compilerOptions.whitespace = 'preserve'
+  app.mount('#app')
+}
+
+bootstrap()
diff --git a/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js b/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js
new file mode 100644
index 000000000..f2d43feeb
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js
@@ -0,0 +1,72 @@
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptDetailService',
+  methods: {
+    fetchDetail (selectedEnt, cdbSearchIndex, callback) {
+      if (selectedEnt && Object.keys(selectedEnt).length) {
+        const queryEntId = selectedEnt.id
+        this.$http.get(`/api/entities/${selectedEnt.entity}/`).then(resp => {
+          if (selectedEnt && queryEntId === selectedEnt.id) {
+            selectedEnt.cui = resp.data.label
+            this.fetchConcept(selectedEnt, cdbSearchIndex, callback)
+          }
+        })
+      } else {
+        if (this.conceptSummary) {
+          this.conceptSummary = {}
+        }
+      }
+    },
+    fetchConcept (selectedEnt, cdbSearchIndex, callback) {
+      this.$http.get(`/api/concepts/${cdbSearchIndex}/select?q=cui:${selectedEnt.cui}`).then(resp => {
+        if (selectedEnt && resp.data.response.docs.length > 0) {
+          const docEnt = resp.data.response.docs[0]
+          selectedEnt.desc = docEnt.desc
+          selectedEnt.type_ids = docEnt.type_ids
+          selectedEnt.pretty_name = docEnt.pretty_name[0]
+          selectedEnt.synonyms = docEnt.synonyms
+          if ((docEnt.icd10 || []).length > 0) {
+            selectedEnt.icd10 = []
+            let that = this
+            let getCodes = function (url) {
+              that.$http.get(url).then(resp => {
+                selectedEnt.icd10.push(...resp.data.results)
+                if (resp.data.next) {
+                  getCodes(`/api/${resp.data.next.split('/api/')[1]}`)
+                } else if (callback) {
+                  selectedEnt.icd10 = _.orderBy(selectedEnt.icd10, ['code'], ['asc'])
+                  callback()
+                }
+              })
+            }
+            getCodes(`/api/icd-codes/?id__in=${docEnt.icd10.join(',')}`)
+          } else {
+            selectedEnt.icd10 = []
+          }
+          if ((docEnt.opcs4 || []).length > 0) {
+            selectedEnt.opcs4 = []
+            let that = this
+            let getCodes = function (url) {
+              that.$http.get(url).then(resp => {
+                selectedEnt.opcs4.push(...resp.data.results)
+                if (resp.data.next) {
+                  getCodes(`/api/${resp.data.next.split('/api/')[1]}`)
+                } else if (callback) {
+                  selectedEnt.opcs4 = _.orderBy(selectedEnt.opcs4, ['code'], ['asc'])
+                  callback()
+                }
+              })
+            }
+            getCodes(`/api/opcs-codes/?id__in=${docEnt.opcs4.join(',')}`)
+          } else {
+            selectedEnt.opcs4 = []
+          }
+        }
+        if (callback) {
+          callback()
+        }
+      })
+    }
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js b/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js
new file mode 100644
index 000000000..acd3f3df2
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js
@@ -0,0 +1,93 @@
+
+import _ from 'lodash'
+
+export default {
+  name: 'MetaAnnotationService',
+  data () {
+    return {
+      tasks: []
+    }
+  },
+  methods: {
+    fetchMetaTasks (taskIDs, callback) {
+      this.$http.get(`/api/meta-tasks/`).then(resp => {
+        let tasks = resp.data.results.filter(r => {
+          return taskIDs.includes(r.id)
+        })
+        let values = _.flatten(tasks.map(t => t.values))
+        this.$http.get(`/api/meta-task-values/`).then(resp => {
+          let taskValueObjs = resp.data.results.filter(r => values.includes(r.id))
+          let taskValObjMap = {}
+          for (const valId of values) {
+            taskValObjMap[valId] = taskValueObjs.filter(o => o.id === valId)[0]
+          }
+          tasks = tasks.map(t => {
+            t.options = t.values.map(val => taskValObjMap[val])
+            t.value = null
+            delete t['values']
+            return t
+          })
+          this.tasks = tasks
+          if (typeof (callback) === 'function') {
+            callback()
+          }
+        })
+      })
+    },
+    newMetaAnnotation (selectedEnt, task, optionId) {
+      const payload = {
+        validated: true, // 'default' meta annotations are always valid.
+        annotated_entity: selectedEnt.id,
+        meta_task: task.id,
+        meta_task_value: optionId
+      }
+      return this.$http.post(`/api/meta-annotations/`, payload)
+    },
+    fetchMetaAnnotations (selectedEnt, useDefault, callback) {
+      if (this.tasks.length > 0 && selectedEnt !== null) {
+        for (let t of this.tasks) {
+          t.value = null
+        }
+        this.$http.get(`/api/meta-annotations/?annotated_entity=${selectedEnt.id}`).then(resp => {
+          // map current state tasks to these entities - to delete as needed.
+          let taskValues = []
+          let newAnnoPromises = []
+          for (let task of this.tasks) {
+            let savedTask = resp.data.results.filter(t => t.meta_task === task.id)
+            if (savedTask.length > 0) {
+              let r = savedTask[0]
+              task.value = r.meta_task_value
+              task.annotation_id = r.id
+              task.predicted_value = r.predicted_meta_task_value
+              task.validated = r.validated
+              task.acc = r.acc
+              taskValues.push(task)
+            } else if (useDefault && task.default) {
+              // no annotation exists, should be validated and set as default value
+              newAnnoPromises.push(this.newMetaAnnotation(selectedEnt, task, task.default))
+              taskValues.push(task)
+            }
+          }
+          let callCallback = function () {
+            if (typeof (callback) === 'function') {
+              callback(_.cloneDeep(taskValues))
+            }
+          }
+
+          if (newAnnoPromises.length) {
+            Promise.all(newAnnoPromises).then(values => {
+              for (let resp of values) {
+                let task = taskValues.filter(t => t.id === resp.data.meta_task)[0]
+                task.annotation_id = resp.data.id
+                task.value = resp.data.meta_task_value
+              }
+              callCallback()
+            })
+          } else {
+            callCallback()
+          }
+        })
+      }
+    }
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js b/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js
new file mode 100644
index 000000000..4ac45811c
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js
@@ -0,0 +1,86 @@
+import _ from 'lodash'
+import MetaAnnotationService from '@/mixins/MetaAnnotationService.js'
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+
+export default {
+  name: 'SummaryService',
+  props: {
+    currentDoc: Object,
+    taskIDs: Array,
+    searchFilterDBIndex: String
+  },
+  mixins: [ConceptDetailService, MetaAnnotationService],
+  data () {
+    return {
+      metaAnnos: {
+        type: Object,
+        default () {
+          return {}
+        }
+      },
+      taskMaps: Object
+    }
+  },
+  methods: {
+    enrichSummary (annos, onAllAnnotationsCallback) {
+      const that = this
+      annos.forEach(anno => {
+        if (!anno.pretty_name) {
+          this.fetchDetail(anno, this.searchFilterDBIndex)
+        }
+      })
+      if (this.taskIDs.length > 0) {
+        this.fetchMetaTasks(this.taskIDs, () => {
+          that.taskMaps = {}
+          that.tasks.forEach(task => {
+            that.taskMaps[task.id] = {}
+            task.options.forEach(op => {
+              that.taskMaps[task.id][op.id] = op.name
+            })
+          })
+          that.enrichMetaAnnos(annos, onAllAnnotationsCallback)
+        })
+      }
+    },
+    showInfoCol (info) {
+      return _.some(this.annos, a => (a[info] || []).length > 0)
+    },
+    enrichMetaAnnos (annos, finishedEnrichmentCallback) {
+      const that = this
+      this.metaAnnos = {}
+      const useDefault = false
+      for (let ent of annos) {
+        this.fetchMetaAnnotations(ent, tasks => {
+          that.$set(that.metaAnnos, ent.id, tasks)
+          if (Object.entries(this.metaAnnos).length === annos.length) {
+            if (finishedEnrichmentCallback) {
+              finishedEnrichmentCallback()
+            }
+          }
+        }, useDefault)
+      }
+    },
+    selectConcept (concept) {
+      this.$emit('select:AnnoSummaryConcept', this.annos.indexOf(concept))
+    },
+    leftContext (concept) {
+      return this.currentDoc.text.slice(_.max([0, concept.start_ind - 20]), concept.start_ind)
+    },
+    rightContext (concept) {
+      const docText = this.currentDoc.text
+      return this.currentDoc.text.slice(concept.end_ind, _.min([docText.length, concept.end_ind + 20]))
+    },
+    highlightClass (concept) {
+      const def = !concept.correct && !concept.deleted && !concept.killed &&
+        !concept.alternative && !concept.manually_created
+      return {
+        'highlight-task-default': def,
+        'highlight-task-new': concept.manually_created,
+        'highlight-task-0': concept.correct,
+        'highlight-task-1': concept.deleted,
+        'highlight-task-2': concept.killed,
+        'highlight-task-3': concept.alternative
+      }
+    }
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js b/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js
new file mode 100644
index 000000000..2573a6694
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js
@@ -0,0 +1,8 @@
+import { library } from '@fortawesome/fontawesome-svg-core'
+import { fas } from '@fortawesome/free-solid-svg-icons'
+import { far } from '@fortawesome/free-regular-svg-icons'
+import { fab } from '@fortawesome/free-brands-svg-icons'
+
+library.add(fas)
+library.add(fab)
+library.add(far)
diff --git a/medcat-trainer/webapp/frontend/src/router/index.ts b/medcat-trainer/webapp/frontend/src/router/index.ts
new file mode 100644
index 000000000..15eb3f23b
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/router/index.ts
@@ -0,0 +1,51 @@
+import { createRouter, createWebHistory } from 'vue-router'
+import Home from '../views/Home.vue'
+import TrainAnnotations from '../views/TrainAnnotations.vue'
+import Demo from '../views/Demo.vue'
+import Metrics from '../views/Metrics.vue'
+import MetricsHome from '../views/MetricsHome.vue'
+import ConceptDatabase from '../views/ConceptDatabase.vue'
+
+
+const router = createRouter({
+  history: createWebHistory(import.meta.env.BASE_URL),
+  routes: [
+      {
+          path: '/train-annotations/:projectId/:docId?',
+          name: 'train-annotations',
+          component: TrainAnnotations,
+          props: true,
+          // query: true
+      },
+      {
+          path: '/metrics-reports/',
+          name: 'metrics-reports',
+          component: MetricsHome,
+      },
+      {
+          path: '/metrics/:reportId/',
+          name: 'metrics',
+          component: Metrics,
+          props: router => ({reportId: parseInt(router.params.reportId)})
+      },
+      {
+          path: '/demo',
+          name: 'demo',
+          component: Demo
+      },
+      {
+          path: '/model-explore',
+          name: 'model-explore',
+          component: ConceptDatabase
+      },
+      {
+          path: '/:pathMatch(.*)',
+          name: 'home',
+          component: Home
+      }
+  ]
+})
+
+export default router
+
+
diff --git a/medcat-trainer/webapp/frontend/src/styles/_common.scss b/medcat-trainer/webapp/frontend/src/styles/_common.scss
new file mode 100644
index 000000000..b1c7ed09d
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/styles/_common.scss
@@ -0,0 +1,76 @@
+@import "variables.scss";
+
+.full-height {
+  height: 100%;
+}
+
+// common help modal styles
+.help {
+  float: right;
+  font-size: 22px;
+}
+
+.help-modal .modal-container {
+  width: 80%;
+}
+
+.help-modal-body {
+  max-height: 500px;
+  overflow: auto;
+}
+
+.summary-modal .modal-container {
+  width: 90%;
+}
+
+$blur-radius: 10px;
+
+@each $i, $col in $task-colors {
+  .task-color-text-#{$i} {
+    color: $col;
+  }
+}
+
+@each $i, $col in $task-colors {
+  .task-btn-#{$i} {
+    border-color: $col;
+    color: $col;
+
+    &:hover {
+      background-color: $col;
+      color: white;
+    }
+  }
+}
+
+.title {
+  padding: 5px 15px;
+  font-size: 14pt;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+  color: black;
+  height: $title-height;
+}
+
+@each $i, $col in $task-colors {
+  .highlight-task-#{$i} {
+    background-color: $col;
+    border-radius: 3px;
+    cursor: pointer;
+    border: 1px solid $col;
+    color: white;
+  }
+}
+
+.alert-enter-active, .alert-leave-active {
+  transition: opacity .5s;
+}
+
+.alert-enter, .alert-leave-to {
+  opacity: 0;
+}
+
+.overlay-message {
+  padding-left: 10px;
+  opacity: 0.5;
+}
+
diff --git a/medcat-trainer/webapp/frontend/src/styles/_functions.scss b/medcat-trainer/webapp/frontend/src/styles/_functions.scss
new file mode 100644
index 000000000..7583c8c96
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/styles/_functions.scss
@@ -0,0 +1,8 @@
+@use 'sass:math';
+
+@function abs($value) {
+  @return math.abs($value);
+}
+
+// solution described here: https://github.com/twbs/bootstrap/issues/39028
+// for deprecated warnings for older version of bootstrap 4.x
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/styles/_tabs.scss b/medcat-trainer/webapp/frontend/src/styles/_tabs.scss
new file mode 100644
index 000000000..ff4d270d1
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/styles/_tabs.scss
@@ -0,0 +1,67 @@
+// FROM: https://github.com/spatie/vue-tabs-component/blob/master/docs/resources/tabs-component.css
+// For the installed Vue.js Component: https://github.com/spatie/vue-tabs-component
+.tabs-component {
+}
+
+.tabs-component-tabs {
+  margin-bottom: 5px;
+  padding-inline-start: 15px;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+}
+
+@media (min-width: 700px) {
+  .tabs-component-tabs {
+    border: 0;
+    align-items: stretch;
+    display: flex;
+    justify-content: flex-start;
+    margin-bottom: -1px;
+  }
+}
+
+.tabs-component-tab {
+  font-size: 14px;
+  margin-right: 0;
+  list-style: none;
+}
+
+.tabs-component-tab.is-active {
+  border-bottom: 4px solid rgba(0, 114, 206, .2);;
+}
+
+@media (min-width: 700px) {
+  .tabs-component-tab {
+    background-color: #fff;
+    transition: transform .3s ease;
+  }
+
+  .tabs-component-tab.is-active {
+    z-index: 2;
+    transform: translateY(0);
+  }
+}
+
+.tabs-component-tab-a {
+  align-items: center;
+  color: inherit;
+  display: flex;
+  padding: .75em 1em;
+  text-decoration: none;
+  &:hover {
+    color: inherit;
+    text-decoration: none;
+  }
+}
+
+.tabs-component-panels {
+  border-radius: 5px;
+  margin-top: 15px;
+}
+
+@media (min-width: 700px) {
+  .tabs-component-panels {
+    border-top-left-radius: 0;
+    background-color: #fff;
+  }
+}
+
diff --git a/medcat-trainer/webapp/frontend/src/styles/_variables.scss b/medcat-trainer/webapp/frontend/src/styles/_variables.scss
new file mode 100644
index 000000000..f79b84446
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/styles/_variables.scss
@@ -0,0 +1,68 @@
+// NHS Brand Colours
+// https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/nhs-digital-style-guidelines/how-we-look/colour-palette
+
+// functions required before bootstrap import to avoid deprecation warning issue described in functions.scss
+@import './functions.scss';
+@import 'bootstrap/scss/bootstrap';
+
+//$body-font-family: Montserrat;
+//
+//.v-application {
+//  .display-1,
+//  .display-2,
+//  .display-3,
+//  .display-4,
+//  .headline,
+//  .title,
+//  .subtitle-1,
+//  .subtitle-2,
+//  .body-1,
+//  .body-2,
+//  .caption,
+//  .overline {
+//    font-family: $body-font-family !important;
+//  }
+//}
+
+$theme-colors: (
+    "primary": #0072CE, //NHS Bright Blue
+    "danger": #DA291C, //NHS Emergency Services Red
+    "warning": #768692, // NHS Mid Grey
+    "info": #E8EDEE, // NHS Pale Grey
+    "success": #009639, // NHS Green
+    "light-success": #32ab60 // slightly lighter than NHS Green
+);
+
+$primary-alt: #005EB8;  //NHS Blue
+
+$navbar-bg: #0072CE; // NHS Bright Blue
+
+// colour palette - for backgrounds, borders, text-color etc.
+$color-1: #45503B;
+$color-2: #E5EBEA;
+$color-3: #B098A4;
+$color-4: #45503B;
+$color-5: #747572;
+
+$background: inherit; //$color-2;
+$text: #212B32; // primary text: NHS Dark Grey
+$text-highlight: #212B32;
+$borders: $color-1;
+
+$task-color-0: #0072CE;  // NHS Bright Blue
+$task-color-1: #dc3545;  // NHS Emergency Services Red
+$task-color-2: #8A1538;  // NHS Dark Red
+$task-color-3: #41B6E6;  // NHS Light Blue
+$task-color-4: #AE2573;  // NHS Pink
+
+$task-colors: (
+    "0": $task-color-0,
+    "1": $task-color-1,
+    "2": $task-color-2,
+    "3": $task-color-3,
+    "4": $task-color-4,
+);
+
+$loading-background-color: rgba(108, 117, 125, 0.3);
+
+$title-height: 41px;
diff --git a/medcat-trainer/webapp/frontend/src/tests/App.spec.ts b/medcat-trainer/webapp/frontend/src/tests/App.spec.ts
new file mode 100644
index 000000000..99b0366df
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/tests/App.spec.ts
@@ -0,0 +1,106 @@
+import { describe, it, expect, vi } from 'vitest'
+import { mount, flushPromises } from '@vue/test-utils'
+import { createRouter, createWebHistory } from 'vue-router'
+import App from '../App.vue'
+
+// Mock routes for router
+const routes = [
+  { path: '/', name: 'projects', component: { template: '<div>Projects</div>' } },
+  { path: '/metrics-reports', name: 'metrics-reports', component: { template: '<div>Metrics</div>' } },
+  { path: '/model-explore', name: 'model-explore', component: { template: '<div>Concepts</div>' } },
+  { path: '/demo', name: 'demo', component: { template: '<div>Demo</div>' } }
+]
+
+const router = createRouter({
+  history: createWebHistory(),
+  routes
+})
+
+// Mock $http
+const mockGet = vi.fn().mockResolvedValue({ data: 'v1.2.3' })
+
+vi.mock('vue', async () => {
+  const actual = await vi.importActual<typeof import('vue')>('vue')
+  return {
+    ...actual,
+  }
+})
+
+describe('App.vue', () => {
+  it('renders navigation links and version', async () => {
+    const wrapper = mount(App, {
+      global: {
+        plugins: [router],
+        mocks: {
+          $http: { get: mockGet },
+          $cookies: {
+            get: vi.fn((key) => key === 'username' ? 'testUser' : null),
+            remove: vi.fn()
+          }
+        },
+        stubs: ['login', 'font-awesome-icon', 'router-view']
+      }
+    })
+    await router.isReady()
+    await flushPromises()
+
+    // Check version is rendered
+    expect(wrapper.text()).toContain('v1.2.3')
+
+    // Check that router-link stubs exist with correct props
+    const links = wrapper.findAllComponents({ name: 'RouterLink' })
+    expect(links.length).toBeGreaterThanOrEqual(4)
+    expect(links[0].props('to')).toBe('/')
+    expect(links[1].props('to')).toBe('/metrics-reports')
+    expect(links[2].props('to')).toBe('/model-explore')
+    expect(links[3].props('to')).toBe('/demo')
+  })
+
+
+  it('calls /api/version/ when created', async () => {
+    const mockGet = vi.fn().mockResolvedValue({ data: 'v1.2.3' });
+    mount(App, {
+      global: {
+        plugins: [router],
+        mocks: {
+          $http: { get: mockGet },
+          $cookies: {
+            get: vi.fn((key) => key === 'username' ? 'testUser' : null),
+            remove: vi.fn()
+          }
+        },
+        stubs: ['login', 'font-awesome-icon', 'router-view']
+      }
+    });
+    await flushPromises();
+    expect(mockGet).toHaveBeenCalledWith('/api/version/');
+  });
+
+  it('shows username and logout when logged in', async () => {
+    const wrapper = mount(App, {
+      global: {
+        plugins: [router],
+        mocks: {
+          $http: { get: mockGet },
+          $cookies: {
+            get: vi.fn((key) => key === 'username' ? 'testUser' : null),
+            remove: vi.fn()
+          }
+        },
+        stubs: ['login', 'font-awesome-icon', 'router-link', 'router-view']
+      },
+      data() {
+        return {
+          uname: 'testUser',
+          loginModal: false,
+          version: 'v1.2.3'
+        }
+      }
+    })
+    await router.isReady()
+    await flushPromises()
+
+    expect(wrapper.text()).toContain('testUser');
+    expect(wrapper.find('.logout-link').exists()).toBe(true);
+  });
+});
diff --git a/medcat-trainer/webapp/frontend/src/tests/views/ConceptDatabase.spec.ts b/medcat-trainer/webapp/frontend/src/tests/views/ConceptDatabase.spec.ts
new file mode 100644
index 000000000..579d8c339
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/tests/views/ConceptDatabase.spec.ts
@@ -0,0 +1,38 @@
+import { describe, it, expect, vi, beforeEach } from 'vitest'
+import { mount, flushPromises } from '@vue/test-utils'
+import ConceptDatabase from '@/views/ConceptDatabase.vue'
+
+const mockCdbsPage1 = {
+  results: [
+    { id: 1, name: 'CDB One' },
+    { id: 2, name: 'CDB Two' }
+  ],
+  next: null
+}
+
+describe('ConceptDatabase.vue', () => {
+  let mockGet
+  beforeEach(() => {
+    mockGet = vi.fn((url) => {
+      if (url === '/api/concept-dbs/') {
+        return Promise.resolve({ data: mockCdbsPage1 })
+      }
+      return Promise.resolve({ data: { results: [], next: null } })
+    })
+  })
+
+  it('fetches concept databases (cdbs) on created', async () => {
+    const wrapper = mount(ConceptDatabase, {
+      global: {
+        mocks: { $http: { get: mockGet } },
+        stubs: ['concept-picker', 'concept-database-viz', 'font-awesome-icon', 'v-tooltip']
+      }
+    })
+    await flushPromises()
+    expect(mockGet).toHaveBeenCalledWith('/api/concept-dbs/')
+    expect(wrapper.vm.cdbs).toEqual([
+      { id: 1, name: 'CDB One' },
+      { id: 2, name: 'CDB Two' }
+    ])
+  })
+})
diff --git a/medcat-trainer/webapp/frontend/src/tests/views/Demo.spec.ts b/medcat-trainer/webapp/frontend/src/tests/views/Demo.spec.ts
new file mode 100644
index 000000000..606c4d5c6
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/tests/views/Demo.spec.ts
@@ -0,0 +1,33 @@
+import { describe, it, expect, vi } from 'vitest'
+import { mount, flushPromises } from '@vue/test-utils'
+import Demo from '@/views/Demo.vue'
+
+describe('Demo.vue', () => {
+  it('posts to /api/annotate-text/ with correct payload when annotate is clicked', async () => {
+    const mockPost = vi.fn().mockResolvedValue({ data: { entities: [], message: 'annotated!' } })
+    const mockGet = vi.fn().mockResolvedValue({ data: { count: 1, results: [{ id: 42, name: 'Test Project', cdb_search_filter: [] }], next: null } })
+    const wrapper = mount(Demo, {
+      global: {
+        mocks: {
+          $http: { get: mockGet, post: mockPost }
+        },
+        stubs: ['clinical-text', 'concept-summary']
+      }
+    })
+    await flushPromises()
+    // Set up form values
+    await wrapper.setData({
+      selectedProject: { id: 42, name: 'Test Project', cdb_search_filter: [] },
+      exampleText: 'Some text to annotate',
+      cuiFilters: 'C1234,C5678'
+    })
+    // Find and click the annotate button
+    await wrapper.find('button.btn-primary').trigger('click')
+    await flushPromises()
+    expect(mockPost).toHaveBeenCalledWith('/api/annotate-text/', {
+      project_id: 42,
+      message: 'Some text to annotate',
+      cuis: 'C1234,C5678'
+    })
+  })
+})
diff --git a/medcat-trainer/webapp/frontend/src/tests/views/Home.spec.ts b/medcat-trainer/webapp/frontend/src/tests/views/Home.spec.ts
new file mode 100644
index 000000000..a61d2c19f
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/tests/views/Home.spec.ts
@@ -0,0 +1,109 @@
+import { describe, it, expect, vi } from 'vitest'
+import { mount, flushPromises } from '@vue/test-utils'
+import Home from '@/views/Home.vue';
+import { createRouter, createWebHistory } from 'vue-router'
+
+// Mock routes for router
+const routes = [
+  { path: '/', name: 'home', component: Home }
+]
+
+const router = createRouter({
+  history: createWebHistory(),
+  routes
+})
+
+const testProjectsResponse = {
+      "id": 1,
+      "name": "Example Project",
+      "description": "Example projects for Testing",
+      "annotation_guideline_link": "",
+      "create_time": "2025-09-08T06:24:34.380721Z",
+      "last_modified": "2025-09-08T06:24:34.380737Z",
+      "cuis": "",
+      "annotation_classification": false,
+      "meta_cat_predictions": false,
+      "project_locked": false,
+      "project_status": "A",
+      "require_entity_validation": true,
+      "train_model_on_submit": true,
+      "add_new_entities": false,
+      "restrict_concept_lookup": false,
+      "terminate_available": true,
+      "irrelevant_available": false,
+      "deid_model_annotation": false,
+      "enable_entity_annotation_comments": false,
+      "polymorphic_ctype": 19,
+      "dataset": 1,
+      "group": null,
+      "concept_db": 1,
+      "vocab": 1,
+      "model_pack": null,
+      "members": [1],
+      "validated_documents": [],
+      "prepared_documents": [],
+      "cdb_search_filter": [],
+      "tasks": [],
+      "relations": []
+    };
+
+  const testProjectProgress = {
+    "1": {
+        "validated_count": 1,
+        "dataset_count": 1
+    }
+  };
+
+describe('Home.vue', () => {
+  it('gets project entities, groups, search index status and progress when user is logged in', async () => {
+      const mockGet = vi.fn((url) => {
+          if (url === '/api/behind-rp/') {
+              return Promise.resolve({ data: { results: []} });
+          }
+          if (url === '/api/project-annotate-entities/') {
+              return Promise.resolve({ data: { results: [testProjectsResponse], next: null } });
+          }
+          if (url.startsWith('/api/concept-db-search-index-created/')) {
+              return Promise.resolve({ data: { results: []} });
+          }
+          if (url === '/api/project-progress/?projects=1') {
+              return Promise.resolve({ data: testProjectProgress });
+          }
+          if (url.startsWith('/api/project-groups/')) {
+              return Promise.resolve({ data: { results: [] } });
+          }
+          
+          return Promise.resolve({});
+      });
+
+    const mockCookies = {
+      get: vi.fn((key) => {
+        if (key === 'api-token') return 'token';
+        if (key === 'admin') return 'false';
+        return null;
+      }),
+      remove: vi.fn()
+    };
+
+    mount(Home, {
+      global: {
+        plugins: [router],
+        mocks: {
+          $http: { get: mockGet },
+          $cookies: mockCookies
+        },
+        stubs: ['login', 'modal', 'project-list', 'v-data-table', 'transition', 'router-link', 'router-view']
+      }
+    });
+
+    await router.isReady();
+    await flushPromises();
+
+    // The second call should be to /api/project-annotate-entities/
+    expect(mockGet).toHaveBeenCalledWith('/api/behind-rp/');
+    expect(mockGet).toHaveBeenCalledWith('/api/project-annotate-entities/');
+    expect(mockGet).toHaveBeenCalledWith('/api/concept-db-search-index-created/?cdbs=');
+    expect(mockGet).toHaveBeenCalledWith('/api/project-progress/?projects=1');
+    expect(mockGet).toHaveBeenCalledWith('/api/project-groups/?id__in=');
+  });
+});
\ No newline at end of file
diff --git a/medcat-trainer/webapp/frontend/src/tests/views/MetricsHome.spec.ts b/medcat-trainer/webapp/frontend/src/tests/views/MetricsHome.spec.ts
new file mode 100644
index 000000000..ece0ccd6d
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/tests/views/MetricsHome.spec.ts
@@ -0,0 +1,81 @@
+import { describe, it, expect, vi, beforeEach } from 'vitest'
+import { mount, flushPromises } from '@vue/test-utils'
+import MetricsHome from '@/views/MetricsHome.vue'
+
+const mockReports = [
+  {
+    report_id: 1,
+    report_name: 'Test Report',
+    created_user: 'user1',
+    create_time: '2025-09-09T12:00:00Z',
+    projects: ['p1', 'p2'],
+    status: 'pending',
+    cleanup: false
+  }
+]
+
+const mockProjects = {
+  p1: { name: 'Project One' },
+  p2: { name: 'Project Two' }
+}
+
+describe('MetricsHome.vue', () => {
+  let mockGet
+  beforeEach(() => {
+    mockGet = vi.fn((url) => {
+      if (url === '/api/metrics-job/') {
+        return Promise.resolve({ data: { reports: mockReports } })
+      }
+      if (url === '/api/project-annotate-entities/p1/') {
+        return Promise.resolve({ data: mockProjects.p1 })
+      }
+      if (url === '/api/project-annotate-entities/p2/') {
+        return Promise.resolve({ data: mockProjects.p2 })
+      }
+      return Promise.resolve({ data: {} })
+    })
+  })
+
+  it('calls /api/metrics-job/ when created', async () => {
+    mount(MetricsHome, {
+      global: {
+        mocks: { $http: { get: mockGet } },
+        stubs: ['v-data-table', 'v-overlay', 'v-progress-circular', 'modal', 'font-awesome-icon', 'router-link']
+      }
+    })
+    await flushPromises()
+    expect(mockGet).toHaveBeenCalledWith('/api/metrics-job/')
+  })
+
+  it('fetches projects after reports are loaded', async () => {
+    mount(MetricsHome, {
+      global: {
+        mocks: { $http: { get: mockGet } },
+        stubs: ['v-data-table', 'v-overlay', 'v-progress-circular', 'modal', 'font-awesome-icon', 'router-link']
+      }
+    })
+    await flushPromises()
+    expect(mockGet).toHaveBeenCalledWith('/api/project-annotate-entities/p1/')
+    expect(mockGet).toHaveBeenCalledWith('/api/project-annotate-entities/p2/')
+  })
+
+  it('renders correct table headers', async () => {
+    const wrapper = mount(MetricsHome, {
+      global: {
+        mocks: { $http: { get: mockGet } },
+        stubs: ['v-data-table', 'v-overlay', 'v-progress-circular', 'modal', 'font-awesome-icon', 'router-link']
+      }
+    })
+    await flushPromises()
+    const headers = wrapper.vm.reports.headers.map(h => h.title)
+    expect(headers).toEqual([
+      'ID',
+      'Report Name',
+      'Created User',
+      'Create Time',
+      'Projects',
+      'Status',
+      'Remove'
+    ])
+  })
+})
diff --git a/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue b/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue
new file mode 100644
index 000000000..692b7abed
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue
@@ -0,0 +1,273 @@
+<template>
+  <div class="container-fluid cdb-view">
+    <div class="l-sidebar">
+      <div class="form-group">
+        <label class="title">Concept Database Models</label>
+        <select class="form-control" v-model="selectedConceptDB">
+          <option :value="cdb" v-for="cdb of cdbs" :key="cdb.id">{{cdb.name}}</option>
+        </select>
+      </div>
+      <div v-if="selectedConceptDB" class="form-group concept-search">
+        <concept-picker :restrict_concept_lookup="false"
+                        :cui_filter="[]"
+                        :cdb_search_filter="[selectedConceptDB.id]"
+                        :concept_db="selectedConceptDB.id"
+                        @pickedResult:concept="pickedResult">
+        </concept-picker>
+      </div>
+      <div class="title">Concept Filter</div>
+      <div class="filter-desc">Selected Concepts:
+        <span class="filter-text">{{filterLen}}</span>
+      </div>
+      <div class="selected-nodes">
+        <div class="filter-desc" v-for="node of checkedNodes" :key="node.name" @click="toggleNodeChildViz(node.cui)">
+          <font-awesome-icon class="ch-toggle" v-if="nodeChildOpen.indexOf(node.cui) !== -1" icon="chevron-down"/>
+          <font-awesome-icon class="ch-toggle" v-else icon="chevron-right"/>
+          <div class="selected-node">{{node.pretty_name}} <span class="sctid">- {{node.cui}}</span></div>
+          <font-awesome-icon icon="times" class="remove-selected-node" @click.stop @click="removeNode(node)"/>
+          <div v-if="nodeChildOpen.indexOf(node.cui) !== -1" @click.stop class="filter-ch-node" v-for="childNode of generatedFilter[node.cui]"
+               @click="toggleExcludedCUI(childNode.cui)">
+            <div class="node-icon-container">
+              <font-awesome-icon icon="fa-regular fa-square-check" class="ch-node-icon" v-if="excludedNodes.indexOf(childNode.cui) === -1" />
+              <font-awesome-icon icon="fa-regular fa-square" class="ch-node-icon" v-else />
+            </div>
+            <span class="selected-node">
+              {{childNode.pretty_name}} <span class="sctid">- {{childNode.cui}}</span>
+            </span>
+          </div>
+        </div>
+      </div>
+      <div id="concept-filter" class="concept-filter-footer">
+        <button :disabled="filterLen === 0" class="btn btn-danger clear-filter" @click="clearFilter">Clear Filter</button>
+        <button :disabled="exportingFilter || filterLen === 0" id="export-filter-btn" class="btn btn-primary export-filter" @click="exportFilter">
+          <span v-if="!exportingFilter">Export Filter</span>
+          <font-awesome-icon v-if="exportingFilter" icon="spinner" spin size="xs" />
+        </button>
+        <v-tooltip>
+          Calculate all child concepts and download as a .json file - to upload into a Trainer project
+        </v-tooltip>
+      </div>
+    </div>
+    <div class="view-port">
+      <concept-database-viz v-if="selectedConceptDB !== null" :cdb="selectedConceptDB"
+                            :checkedNodes="checkedNodes"
+                            :selectedCui="selectedCui"
+                            @select:node="selectNode">
+      </concept-database-viz>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from "lodash"
+import ConceptDatabaseViz from '@/components/models/ConceptDatabaseViz.vue'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+
+export default {
+  name: 'ConceptDatabase',
+  components: { ConceptPicker, ConceptDatabaseViz },
+  data () {
+    return {
+      cdbs: [],
+      selectedConceptDB: null,
+      checkedNodes: [],
+      selectedCui: '',
+      filterLen: 0,
+      generatedFilter: {},
+      nodeChildOpen: [],
+      excludedNodes: [],
+      exportingFilter: false
+    }
+  },
+  created () {
+    let cdbList = []
+    let that = this
+    const baseUrl = '/api/concept-dbs/'
+    let getCDBs = function (url) {
+      that.$http.get(url).then(resp => {
+        if (!resp.data.next) {
+          that.cdbs = cdbList.concat(_.uniqBy(resp.data.results, r => r.id))
+        } else {
+          const nextUrl = `${baseUrl}?${resp.data.next.split('?').slice(-1)}`
+          cdbList = cdbList.concat(_.uniqBy(resp.data.results, r => r.id))
+          getCDBs(nextUrl)
+        }
+      })
+    }
+    getCDBs(baseUrl)
+  },
+  methods: {
+    pickedResult (res) {
+      // picked result is used to search upwards to find path to root. via backend...
+      if (res) {
+        this.selectedCui = res.cui
+      }
+    },
+    selectNode (node) {
+      const idxOf = this.checkedNodes.indexOf(node)
+      if (idxOf === -1) {
+        this.checkedNodes.push(node)
+        this.nodeChildOpen.push(node.cui)
+        this.generateFilter()
+      }
+    },
+    removeNode (nodeToggled) {
+      const idxOf = this.checkedNodes.indexOf(nodeToggled)
+      this.checkedNodes.splice(idxOf, 1)
+      this.generateFilter()
+    },
+    generateFilter () {
+      const payload = this.checkedNodes.map(r => r.cui)
+      this.$http.post('/api/generate-concept-filter/',
+        { 'cuis': payload, 'cdb_id': this.selectedConceptDB.id }).then(resp => {
+        this.generatedFilter = resp.data.filter
+        this.filterLen = resp.data.filter_len
+      })
+    },
+    clearFilter () {
+      this.checkedNodes = []
+      this.filterLen = 0
+      this.generatedFilter = {}
+      this.excludedNodes = []
+      this.nodeChildOpen = []
+    },
+    toggleNodeChildViz (cui) {
+      const idxOf = this.nodeChildOpen.indexOf(cui)
+      if (idxOf === -1) {
+        this.nodeChildOpen.push(cui)
+      } else {
+        this.nodeChildOpen.splice(idxOf, 1)
+      }
+    },
+    toggleExcludedCUI (cui) {
+      const idxOf = this.excludedNodes.indexOf(cui)
+      if (idxOf === -1) {
+        this.excludedNodes.push(cui)
+        this.recalcFilterLen()
+      } else {
+        this.excludedNodes.splice(idxOf, 1)
+        this.recalcFilterLen()
+      }
+    },
+    recalcFilterLen () {
+      this.filterLen = _.keys(this.generatedFilter).concat(
+        _.flatten(_.values(this.generatedFilter))
+          .map(i => i.cui)
+          .filter(i => this.excludedNodes.indexOf(i) === -1)
+      ).length
+    },
+    exportFilter () {
+      const payload = {
+        'cuis': this.checkedNodes.map(r => r.cui),
+        'cdb_id': this.selectedConceptDB.id,
+        'excluded_nodes': this.excludedNodes
+      }
+      this.exportingFilter = true
+      this.$http.post('/api/generate-concept-filter-json/', payload).then(resp => {
+        const url = window.URL.createObjectURL(new Blob([JSON.stringify(resp.data)], {type: 'application/json'}))
+        const link = document.createElement('a')
+        link.href = url
+        link.download = resp.headers['content-disposition'].split('=')[1]
+        link.click()
+        this.exportingFilter = false
+      })
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.cdb-view {
+  height: calc(100% - 71px);
+  display: flex;
+}
+
+.filter-desc {
+  padding: 5px 5px;
+}
+
+.view-port {
+  flex: 1 1 auto;
+  display: flex;
+}
+
+.l-sidebar {
+  display: flex;
+  flex-direction: column;
+  flex: 0 0 450px;
+  height: 100%;
+
+  .form-group {
+    width: 95%;
+  }
+
+  div {
+    flex-direction: row;
+    flex: 0 0 42px;
+  }
+
+  div.selected-nodes {
+    flex: 1 1 auto;
+    overflow-y: auto;
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+  }
+
+  .filter-text {
+    padding: 10px 10px 0 0;
+  }
+
+  .clear-filter {
+    margin: 10px 10px 0 0;
+  }
+
+  .export-filter {
+    float: right;
+    margin: 10px 10px 0 0;
+  }
+}
+
+.selected-node {
+  display: inline-block;
+  width: calc(100% - 20px - 25px); /** icons either site **/
+}
+
+.ch-toggle {
+  width: 20px;
+  padding-right: 2px;
+}
+
+.filter-ch-node {
+  padding-left: 15px;
+  margin: 1px;
+  &:hover {
+    box-shadow: rgba(149, 157, 165, 0.2) 0 8px 24px;
+    cursor: pointer;
+  }
+
+  .ch-node-icon {
+    padding-right: 2px;
+  }
+}
+
+.sctid {
+  opacity: .4;
+}
+
+.node-icon-container {
+  display: inline-block;
+  vertical-align: center;
+  font-size: 18px;
+  padding-right: 3px;
+}
+
+.remove-selected-node {
+  width: 20px;
+  display: inline-block;
+  color: $danger;
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/views/Demo.vue b/medcat-trainer/webapp/frontend/src/views/Demo.vue
new file mode 100644
index 000000000..2a3c28ce6
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/Demo.vue
@@ -0,0 +1,156 @@
+<template>
+  <div class="container-fluid demo">
+    <div class="demo-text">
+      <form @submit.prevent>
+        <div class="form-group">
+          <label>Project Model:</label>
+          <select class="form-control" v-model="selectedProject">
+            <option :value="proj" v-for="proj of projects" :key="proj.id">{{proj.name}}
+            </option>
+          </select>
+        </div>
+        <div class="form-group">
+          <label>Text to Annotate:</label>
+          <textarea v-model="exampleText" class="form-control" name="text" rows="10"></textarea>
+        </div>
+        <div class="form-group">
+          <label>CUI Filter</label>
+          <textarea v-model="cuiFilters" class="form-control" name="cui"
+                    rows="3" placeholder="Comma separated list: S-91175000, S-84757009"></textarea>
+        </div>
+        <button @click="annotate()" class="btn btn-primary">Annotate</button>
+      </form>
+    </div>
+    <div class="view-port">
+      <div class="clinical-text">
+        <clinical-text :loading="loadingMsg" :text="annotatedText" :ents="ents"
+                       :taskName="task" :taskValues="taskValues" @select:concept="selectEntity"></clinical-text>
+      </div>
+      <div class="sidebar">
+        <concept-summary :selectedEnt="currentEnt" :project="selectedProject"
+                         :searchFilterDBIndex="searchFilterDBIndex"></concept-summary>
+      </div>
+    </div>
+  </div>
+</template>
+
+<script>
+import ClinicalText from '@/components/common/ClinicalText.vue'
+import ConceptSummary from '@/components/common/ConceptSummary.vue'
+
+const TASK_NAME = 'Concept Anno'
+const VALUES = ['Val']
+
+export default {
+  name: 'Demo',
+  components: {
+    ClinicalText,
+    ConceptSummary
+  },
+  data () {
+    return {
+      exampleText: '',
+      projects: [],
+      selectedProject: {},
+      cuiFilters: '',
+      ents: [],
+      currentEnt: {},
+      annotatedText: '',
+      loadingMsg: null,
+      task: TASK_NAME,
+      taskValues: VALUES,
+      searchFilterDBIndex: null
+    }
+  },
+  created () {
+    let projectList = []
+    let that = this
+    const baseUrl = '/api/project-annotate-entities/'
+    let getProjects = function (url) {
+      that.$http.get(url).then(resp => {
+        if (resp.data.count === (projectList.length + resp.data.results.length)) {
+          that.projects = projectList.concat(resp.data.results)
+        } else {
+          const nextUrl = `${baseUrl}?${resp.data.next.split('?').slice(-1)}`
+          projectList = projectList.concat(resp.data.results)
+          getProjects(nextUrl)
+        }
+      })
+    }
+    getProjects(baseUrl)
+  },
+  methods: {
+    annotate () {
+      const payload = {
+        project_id: this.selectedProject.id,
+        message: this.exampleText,
+        cuis: this.cuiFilters,
+      }
+      this.loadingMsg = 'Annotating Text...'
+      this.$http.post('/api/annotate-text/', payload).then(resp => {
+        this.loadingMsg = null
+        this.ents = resp.data['entities'].map(e => {
+          e.assignedValues = {}
+          e.assignedValues[this.task] = this.taskValues[0]
+          return e
+        })
+        this.currentEnt = this.ents.length > 0 ? this.ents[0] : null
+        this.annotatedText = resp.data['message']
+      })
+    },
+    selectEntity (entIndex) {
+      this.currentEnt = this.ents[entIndex]
+    },
+    fetchCDBSearchIndex () {
+      if (this.selectedProject.cdb_search_filter.length > 0) {
+        this.$http.get(`/api/concept-dbs/${this.selectedProject.cdb_search_filter[0]}/`).then(resp => {
+          if (resp.data) {
+            this.searchFilterDBIndex = `${resp.data.name}_id_${this.selectedProject.cdb_search_filter}`
+          }
+        })
+      }
+    }
+  },
+  watch: {
+    'selectedProject': {
+      handler () {
+        this.fetchCDBSearchIndex()
+      }
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.demo {
+  height: calc(100% - 71px);
+  display: flex;
+}
+
+.demo-text {
+  flex-direction: column;
+  flex: 0 0 400px;
+  height: 100%;
+}
+
+.view-port {
+  flex: 1 1 auto;
+  display: flex;
+}
+
+.clinical-text {
+  height:100%;
+  flex-direction: column;
+  flex: 1 1 auto;
+}
+
+.sidebar {
+  height:100%;
+  flex-direction: column;
+  flex: 0 0 350px;
+}
+
+form {
+  margin: 5%;
+}
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/views/Home.vue b/medcat-trainer/webapp/frontend/src/views/Home.vue
new file mode 100644
index 000000000..e187acacd
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/Home.vue
@@ -0,0 +1,214 @@
+<template>
+  <div class="full-height">
+    <login v-if="!loginSuccessful" @login:success="loggedIn()"></login>
+    <transition name="alert"><div class="alert alert-danger" v-if="routeAlert" role="alert">{{routeAlert}}</div></transition>
+    <div class="view-bar" v-if="isAdmin">
+      <button class="btn btn-outline-primary" @click="projectGroupView = !projectGroupView">
+        <span v-if="projectGroupView">Single Projects</span>
+        <span v-if="!projectGroupView">Project Groups</span>
+      </button>
+    </div>
+    <div v-if="projectGroupView" class="full-height project-group-table">
+      <v-data-table id="projectGroupTable" :items="projectGroups.items"
+                    :headers="projectGroups.headers"
+                    :hover="true"
+                    v-if="!loadingProjects"
+                    color="primary"
+                    @click:row="selectProjectGroup"
+                    hide-default-footer
+                    :items-per-page="-1">
+        <template v-slot:item.last_modified="{ item }">
+          {{new Date(item.last_modified).toLocaleString()}}
+        </template>
+      </v-data-table>
+      <modal v-if="selectedProjectGroup" :closable="true" @modal:close="selectedProjectGroup = null" class="summary-modal">
+        <template #header>
+          <h3>Project Group: {{selectedProjectGroup.name}}</h3>
+          <br>
+          <p>{{selectedProjectGroup.description}}</p>
+        </template>
+        <template #body>
+          <project-list :project-items="selectedProjectGroup.items" :is-admin="isAdmin"
+                        :cdb-search-index-status="cdbSearchIndexStatus"></project-list>
+        </template>
+      </modal>
+    </div>
+    <project-list v-if="!projectGroupView" :project-items="projects.items" :is-admin="isAdmin"
+                  :cdb-search-index-status="cdbSearchIndexStatus"></project-list>
+  </div>
+
+</template>
+<script>
+import _ from 'lodash'
+
+import Modal from '@/components/common/Modal.vue'
+import Login from '@/components/common/Login.vue'
+import EventBus from '@/event-bus'
+import ProjectList from "@/components/common/ProjectList.vue"
+
+export default {
+  name: 'Home',
+  components: {
+    ProjectList,
+    Login,
+    Modal
+  },
+  data () {
+    return {
+      projectGroupView: false,
+      projectGroups: {
+        items: [],
+        headers: [
+          { value: 'name', title: 'Name' },
+          { value: 'description', title: 'Description' },
+          { value: 'last_modified', title: 'Last Modified' }
+        ]
+      },
+      projects: {
+        items: []
+      },
+      routeAlert: false,
+      loginSuccessful: false,
+      loadingProjects: false,
+      isAdmin: false,
+      selectedProjectGroup: null,
+      cdbSearchIndexStatus: {},
+      useOidc: import.meta.env.VITE_USE_OIDC === '1'
+    }
+  },
+  created () {
+    this.loggedIn()
+  },
+  watch: {
+    '$route': 'loggedIn'
+  },
+  mounted () {
+    EventBus.$on('login:success', this.loggedIn)
+  },
+  beforeDestroy () {
+    EventBus.$off('login:success')
+  },
+  methods: {
+    loggedIn () {
+      this.$http.get('/api/behind-rp/').then(resp => {
+        if (!resp.data && this.$route.path !== '/') {
+          this.routeAlert = `Invalid URL: ${this.$route.path}, redirected to the MedCAT Home page.`
+          const that = this
+          setTimeout(() => {
+            that.routeAlert = false
+          }, 5000)
+        }
+      })
+      // assume if there's an api-token we've logged in before and will try get projects
+      // fallback to logging in otherwise
+      if (!this.useOidc && this.$cookies.get('api-token')) {
+          this.loginSuccessful = true
+          this.isAdmin = this.$cookies.get('admin') === 'true'
+          this.fetchProjects()
+      } else if (this.useOidc && this.$keycloak && this.$keycloak.authenticated) {
+          this.loginSuccessful = true
+          this.isAdmin = this.$keycloak.tokenParsed?.realm_access?.roles.includes('admin') ?? false;
+          this.fetchProjects()
+        }
+    },
+    fetchProjectGroups () {
+      const projectGroupIds = new Set(this.projects.items.filter(p => p.group !== null).map(p => p.group))
+      this.$http.get(`/api/project-groups/?id__in=${Array.from(projectGroupIds).join(',')}`).then(resp => {
+        this.projectGroups.items = resp.data.results
+      })
+    },
+    fetchProjects () {
+      this.loadingProjects = true
+      if (this.loginSuccessful) {
+        this.$http.get('/api/project-annotate-entities/').then(resp => {
+          this.projects.items = resp.data.results
+          if (resp.data.next) {
+            this.fetchPage(resp.data.next)
+          } else {
+            this.postLoadedProjects()
+          }
+        }).catch(() => {
+          this.$cookies.remove('username')
+          this.$cookies.remove('api-token')
+          this.$cookies.remove('admin')
+          this.$cookies.remove('user-id')
+          this.loadingProjects = false
+          this.loginSuccessful = false
+        })
+      }
+    },
+    fetchPage (pageUrl) {
+      this.$http.get('/' + pageUrl.split('/').slice(-3).join('/')).then(resp => {
+        this.projects.items = this.projects.items.concat(resp.data.results)
+        if (resp.data.next) {
+          this.fetchPage(resp.data.next)
+        } else {
+          this.postLoadedProjects()
+        }
+      })
+    },
+    postLoadedProjects () {
+      this.fetchSearchIndexStatus()
+      this.fetchProjectProgress()
+      this.fetchProjectGroups()
+      this.loadingProjects = false
+    },
+
+    fetchSearchIndexStatus () {
+      const cdbIds = _.uniq(this.projects.items.map(p => p.cdb_search_filter[0])).filter(id => id)
+      this.$http.get(`/api/concept-db-search-index-created/?cdbs=${cdbIds.join(',')}`).then(resp => {
+        this.cdbSearchIndexStatus = resp.data.results
+      }).catch(err => {
+        console.log(err)
+      })
+    },
+    fetchProjectProgress () {
+      const projectIds = this.projects.items.map(p => p.id)
+      if (projectIds.length > 0) {
+        this.$http.get(`/api/project-progress/?projects=${projectIds}`).then(resp => {
+          this.projects.items = this.projects.items.map(item => {
+            item['progress'] = resp.data[item.id].validated_count
+            item['progress_max'] = resp.data[item.id].dataset_count
+            return item
+          })
+        })
+      }
+    },
+    selectProjectGroup(_, { item }) {
+      if (item) {
+        this.selectedProjectGroup = item
+        this.selectedProjectGroup.items = this.projects.items.filter(p => p.group === this.selectedProjectGroup.id)
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+h3 {
+  margin: 10%
+}
+
+.view-bar {
+  height: 30px;
+  padding: 5px 0;
+  width: 95%;
+  margin: auto;
+}
+
+.project-group-table {
+  height: calc(100% - 30px);
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+}
+
+
+.home-title {
+  font-size: 23px;
+  padding: 30px 0;
+}
+
+
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/views/Metrics.vue b/medcat-trainer/webapp/frontend/src/views/Metrics.vue
new file mode 100644
index 000000000..adbc12708
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/Metrics.vue
@@ -0,0 +1,771 @@
+<template>
+  <div class="metrics-view">
+    <div class="metrics-header">
+      <v-row class="header-row">
+        <div class="report-name-label">
+          Metrics Report:
+        </div>
+        <span v-if="!editingName">
+          <span v-if="!reportName" class="no-report-name">n/a</span>
+          <span v-if="reportName" class="completed-report-name">{{ reportName }}</span>
+          <font-awesome-icon icon="pencil" class="edit-name-icon" @click="editingName = true"></font-awesome-icon>
+        </span>
+        <span class="report-name-input" v-if="editingName">
+          <v-text-field placeholder="Report name"
+                        class="report-name-input"
+                        variant="underlined"
+                        @update:focused="updateName($event)"
+                        v-model="editedReportName"></v-text-field>
+        </span>
+      </v-row>
+
+    </div>
+    <div class="viewport-full-height">
+      <v-overlay :model-value="loading"
+                 class="align-center justify-center"
+                 color="primary"
+                 activator="parent"
+                 :disabled="true"
+                 :persistent="true">
+        <v-progress-circular color="primary" indeterminate></v-progress-circular>
+        <span class="overlay-message">Loading metrics report...</span>
+      </v-overlay>
+
+      <div class="viewport">
+        <v-tabs v-model="tab">
+          <v-tab :value="'summary_stats'">Summary Stats</v-tab>
+          <v-tab :value="'annotations'">
+            Annotations
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>A table of raw annotations, and their annotationstatus</span>
+            </v-tooltip>
+          </v-tab>
+          <v-tab :value="'concept_summary'">
+            Concept Summary
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>Model predictions compared to gold standard annotated dataset<br>
+              after evaluating across the entire dataset grouped by each unique concept</span>
+            </v-tooltip>
+          </v-tab>
+          <v-tab :value="'meta_anns'" v-if="metaAnnsSummary.items">
+            Meta Annotations
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>All scores and averages are calculated on a per-concept basis.<br>
+              Each concept's performance is evaluated independently<br>
+              for each meta annotation task in the dataset.</span>
+            </v-tooltip>
+          </v-tab>
+        </v-tabs>
+
+        <div class="tab-pane">
+          <KeepAlive>
+            <div v-if="tab === 'summary_stats'">
+              <v-row class="summary-row">
+                <v-card class="summary-card">
+                  <v-card-title># Projects </v-card-title>
+                  <v-card-text>{{ Object.keys(projects2name).length }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Documents</v-card-title>
+                  <v-card-text>{{ Object.values(projects2doc_ids).map(doc_ids => doc_ids.length).reduce((a, b) => a + b, 0) }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Annotations</v-card-title>
+                  <v-card-text>{{ annoSummary.items ? annoSummary.items.length : 0 }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Concepts</v-card-title>
+                  <v-card-text>{{ conceptSummary.items ? conceptSummary.items.length : 0 }}</v-card-text>
+                </v-card>
+
+                <v-tooltip location="bottom">
+                  <template v-slot:activator="{ props }">
+                    <v-card v-bind="props" class="summary-card">
+                      <v-card-title>Annotation Overlap</v-card-title>
+                      <v-card-text>{{ calculateOverlap(projects2doc_ids) }}%</v-card-text>
+                    </v-card>
+                  </template>
+                  <span>Percentage of documents that<br>overlap between projects</span>
+                </v-tooltip>
+
+                <v-tooltip location="bottom">
+                  <template v-slot:activator="{ props }">
+                    <v-card v-bind="props" class="summary-card">
+                      <v-card-title>Annotator Agreement</v-card-title>
+                      <v-card-text>{{ calculateAnnotatorAgreement(annoSummary) }}%</v-card-text>
+                    </v-card>
+                  </template>
+                  <span>Percentage of annotations that are in agreement<br>
+                    across all projects and therefore documents.<br>
+                    Documents identified by their document name.</span>
+                </v-tooltip>
+
+                <v-card class="summary-card">
+                  <v-card-title>Total Annotation Time</v-card-title>
+                  <v-card-text> {{ elapsedTime(annoSummary.items || []) }} </v-card-text>
+                </v-card>
+
+              </v-row>
+
+              <div>
+                <div ref="plotElement"></div>
+              </div>
+
+              <v-data-table :items="userStats.items" :headers="userStats.headers" :hover="true" hide-default-footer
+                            :items-per-page="-1"></v-data-table>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'annotations'">
+              <annotations-table
+                :items="annoSummary.items">
+              </annotations-table>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'concept_summary'">
+              <concept-summary
+                :items="conceptSummary.items"
+                :docs2text="docs2text">
+              </concept-summary>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'meta_anns'">
+              <v-row class="summary-row">
+                <template v-for="task in Object.keys(metaAnnsSummary.items[0]?.meta_tasks)" :key="task">
+                  <v-tooltip location="bottom">
+                    <template v-slot:activator="{ props }">
+                      <v-card v-bind="props" class="summary-card">
+                        <v-card-title>{{ task }} Macro Avg. F1</v-card-title>
+                        <v-card-text>{{ calculateMetaTaskAverage(task, 'macro', 'f1') }}%</v-card-text>
+                      </v-card>
+                    </template>
+                    <span>Macro average treats all classes equally, regardless of their frequency.<br>
+                    It calculates the metric for each class independently and then averages them.<br>
+                    This is useful when all classes are equally important.</span>
+                  </v-tooltip>
+
+                  <v-tooltip location="bottom">
+                    <template v-slot:activator="{ props }">
+                      <v-card v-bind="props" class="summary-card">
+                        <v-card-title>{{ task }} Micro Avg. F1</v-card-title>
+                        <v-card-text>{{ calculateMetaTaskAverage(task, 'micro', 'f1') }}%</v-card-text>
+                      </v-card>
+                    </template>
+                    <span>Micro average weights each class by its frequency in the dataset.<br>
+                    It aggregates the contributions of all classes to compute the average metric.<br>
+                    This is useful when class imbalance exists and you want to account for it.</span>
+                  </v-tooltip>
+                </template>
+              </v-row>
+
+              <v-data-table :items="metaAnnsSummary.items"
+                            :headers="metaAnnsSummary.headers"
+                            :hover="true"
+                            class="meta-anno-summary"
+                            hide-default-footer
+                            :items-per-page="-1">
+                <template #item="{ item }">
+                  <tr>
+                    <td>{{ item.cui }}</td>
+                    <td>{{ item.concept_name }}</td>
+                    <template v-for="task in Object.keys(item.meta_tasks)" :key="task">
+                      <!-- Macro metrics -->
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.f1" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.prec" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.rec" />
+                      </td>
+                      <!-- Micro metrics -->
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.f1" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.prec" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.rec" />
+                      </td>
+                    </template>
+                  </tr>
+                </template>
+              </v-data-table>
+            </div>
+          </KeepAlive>
+        </div>
+      </div>
+
+    </div>
+  </div>
+</template>
+
+<script>
+import Plotly from 'plotly.js-dist'
+import MetricCell from '@/components/metrics/MetricCell.vue'
+import AnnotationsTable from '@/components/metrics/AnnotationsTable.vue'
+import ConceptSummary from '@/components/metrics/ConceptSummary.vue'
+
+export default {
+  name: 'Metrics.vue',
+  components: {MetricCell, AnnotationsTable, ConceptSummary},
+  props: {
+    reportId: Number
+  },
+  created() {
+    if (this.reportId || (this.$route.query && this.$route.query.reportId)) {
+      this.loading = true
+      let reportId = this.reportId ? this.reportId : this.$route.query.reportId
+      this.$http.get(`/api/metrics/${reportId}/`).then(resp => {
+        this.loading = false
+        this.reportName = resp.data.results.report_name || resp.data.results.report_name_generated
+        this.userStats.items = resp.data.results.user_stats
+        this.conceptSummary.items = resp.data.results.concept_summary
+
+        this.userStats.items.forEach(userRow => {
+          const user = userRow.user
+          const exampleTypes = [
+            ['tp_examples', 'tps'],
+            ['fn_examples', 'fns'],
+            ['fp_examples', 'fps']
+          ]
+
+          exampleTypes.forEach(([exampleType, countType]) => {
+            userRow[countType] = this.conceptSummary.items.map(item => {
+              return (item[exampleType] || []).filter(i => i.user === user).length
+            }).reduce((a, b) => a + b, 0)
+          })
+        })
+
+        this.docs2text = resp.data.results.docs2text
+        this.projects2doc_ids = resp.data.results.projects2doc_ids
+        this.projects2name = resp.data.results.projects2name
+        this.docs2name = resp.data.results.docs2name
+
+        let anno_summary = resp.data.results.annotation_summary.map(s => {
+          if (s.correct) {
+            s.status = 'Correct'
+          } else if (s.deleted) {
+            s.status = 'Incorrect'
+          } else if (s.alternative) {
+            s.status = 'Alternative'
+          } else if (s.manually_created) {
+            s.status = 'Manually Added'
+          } else if (s.killed) {
+            s.status = 'Terminated'
+          } else if (s.irrelevant) {
+            s.status = 'Irrelevant'
+          }
+          return s
+        })
+        this.annoSummary.items = anno_summary
+        this.metaAnnsSummary.items = resp.data.results.meta_anno_summary
+
+        let summaryHeaders = resp.data.results.meta_anns_task_summary.map(task => {
+          // Create task header with children
+          const taskName = task['name']
+          const taskHeader = {
+            title: taskName,
+            align: 'left',
+            children: [
+              // Macro metrics group
+              {
+                title: 'Macro Avg',
+                align: 'left',
+                children: [
+                  { value: item => `${item.meta_tasks[taskName].macro.f1.toFixed(2)}`, title: 'F1', key: `meta_tasks.${taskName}.macro.f1` },
+                  { value: item => `${item.meta_tasks[taskName].macro.prec.toFixed(2)}`, title: 'Prec', key: `meta_tasks.${taskName}.macro.prec` },
+                  { value: item => `${item.meta_tasks[taskName].macro.rec.toFixed(2)}`, title: 'Rec', key: `meta_tasks.${taskName}.macro.rec`  }
+                ]
+              },
+              // Micro metrics group
+              {
+                title: 'Micro Avg',
+                align: 'left',
+                children: [
+                  { value: item => `${item.meta_tasks[taskName].micro.f1.toFixed(2)}`, title: 'F1', key: `meta_tasks.${taskName}.micro.f1` },
+                  { value: item => `${item.meta_tasks[taskName].micro.prec.toFixed(2)}`, title: 'Prec', key: `meta_tasks.${taskName}.micro.prec` },
+                  { value: item => `${item.meta_tasks[taskName].micro.rec.toFixed(2)}`, title: 'Rec', key: `meta_tasks.${taskName}.micro.rec` }
+                ]
+              }
+            ]
+          }
+          return taskHeader
+        })
+        this.metaAnnsSummary.headers = [...this.metaAnnsSummary.headers, ...summaryHeaders]
+        this.annoChart()
+      })
+    }
+  },
+  data() {
+    return {
+      loading: false,
+      tab: null,
+      reportName: null,
+      editingName: false,
+      editedReportName: null,
+      projects2name: {},
+      projects2doc_ids: {},
+      docs2text: {},
+      docs2name: {},
+      userStats: {
+        headers: [
+          {value: 'user', title: 'User'},
+          {value: 'count', title: 'Count'},
+          {value: 'tps', title: 'True Positives'},
+          {value: 'fns', title: 'False Negatives'},
+          {value: 'fps', title: 'False Positives'}
+        ]
+      },
+      annoSummary: {},
+      conceptSummary: {},
+      metaAnnsSummary: {
+        headers: [
+          { value: 'cui', title: 'CUI' },
+          { value: 'concept_name', title: 'Concept' },
+        ]
+      }
+    }
+  },
+  methods: {
+    annoChart () {
+      // Create plotly chart of annotations per user per day
+      const userDailyCounts = {}
+        const users = new Set()
+
+        // First pass - collect all users and find min/max dates
+        let minDate, maxDate
+        this.annoSummary.items.forEach(ann => {
+          const date = new Date(ann.last_modified)
+          if (!minDate || date < minDate) minDate = date
+          if (!maxDate || date > maxDate) maxDate = date
+          users.add(ann.user)
+        })
+
+        // Initialize counts for all dates for all users
+        // Take a 2 days either side of min and max date.
+        maxDate.setDate(maxDate.getDate() + 2)
+        minDate.setDate(minDate.getDate() - 2)
+        for (const user of users) {
+          userDailyCounts[user] = {}
+          for (let d = new Date(minDate); d <= maxDate; d.setDate(d.getDate() + 1)) {
+            const dateStr = d.toISOString().split('T')[0]
+            userDailyCounts[user][dateStr] = 0
+          }
+        }
+
+        // Count annotations
+        this.annoSummary.items.forEach(ann => {
+          const dateStr = new Date(ann.last_modified).toISOString().split('T')[0]
+          const user = ann.user
+          userDailyCounts[user][dateStr]++
+        })
+
+        const febTestAnns = this.annoSummary.items.filter(ann => {
+          const dateStr = new Date(ann.last_modified).toISOString().split('T')[0]
+          return dateStr === '2025-02-05'
+        })
+        console.log(febTestAnns)
+
+        // Convert to plotly format
+        const plotData = []
+        for (const user in userDailyCounts) {
+          const dates = Object.keys(userDailyCounts[user]).sort()
+          const counts = dates.map(date => userDailyCounts[user][date])
+
+          plotData.push({
+            x: dates,
+            y: counts,
+            type: 'bar',
+            name: user
+          })
+        }
+
+        const layout = {
+          title: 'Daily Annotation Counts by User',
+          barmode: 'group',
+          xaxis: {
+            title: 'Date',
+            type: 'date',
+            range: [minDate, maxDate]
+          },
+          yaxis: {
+            title: 'Number of Annotations'
+          },
+          // Using a selection NHS theme colors
+          colorway: ['#005EB8', '#00A499', '#330072', '#41B6E6', '#AE2573', '#8A1538']
+        }
+
+        Plotly.newPlot(this.$refs.plotElement, plotData, layout)
+    },
+    textFromAnno(anno) {
+      const docId = anno['document id']
+      return this.docs2text[docId]
+    },
+    saveEditedName() {
+      if (this.editingName && this.editedReportName !== '') {
+        const payload = {
+          report_name: this.editedReportName
+        }
+        this.$http.put(`/api/metrics/${this.reportId}/`, payload).then(_ => {
+          this.reportName = this.editedReportName
+          this.editingName = false
+        })
+      }
+    },
+    keydown(e) {
+      if (e.keyCode === 27 && this.editingName) { // esc key
+        this.editingName = false
+      } else if (e.keyCode === 13 && this.editingName) { // enter key
+        if (this.editedReportName) {
+          this.saveEditedName()
+        } else {
+          this.editingName = false
+        }
+      }
+    },
+    updateName (focused) {
+      if (!focused) {
+        if (this.editedReportName !== null) {
+          this.saveEditedName()
+        } else {
+          this.editingName = false
+        }
+      }
+    },
+    calculateOverlap(projects2doc_ids) {
+      if (Object.keys(projects2doc_ids).length < 2) {
+        return 0
+      }
+
+      const projects2docNames = {}
+      for (const projectId in projects2doc_ids) {
+        projects2docNames[projectId] = this.projects2doc_ids[projectId].map(docId => this.docs2name[docId])
+      }
+
+      const projectIds = Object.keys(projects2docNames)
+      const minLength = Math.min(...projectIds.map(id => projects2docNames[id].length))
+      const commonDocs = projects2docNames[projectIds[0]].filter(docId => {
+        return projectIds.every(projectId => projects2docNames[projectId].includes(docId))
+      })
+      return (commonDocs.length / minLength) * 100
+    },
+    elapsedTime (annoSummary) {
+      if (annoSummary.length === 0) {
+        return 'NA'
+      }
+
+      const dates = annoSummary.map(anno => new Date(anno.last_modified))
+      const latestDate = new Date(Math.max.apply(null, dates))
+      const earliestDate = new Date(Math.min.apply(null, dates))
+
+      const diffMs = latestDate - earliestDate
+      const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24))
+      const diffHrs = Math.floor((diffMs % (1000 * 60 * 60 * 24)) / (1000 * 60 * 60))
+      const diffMins = Math.floor((diffMs % (1000 * 60 * 60)) / (1000 * 60))
+
+      if (diffDays > 0) {
+        return `${diffDays}d ${diffHrs}h ${diffMins}m`
+      } else if (diffHrs > 0) {
+        return `${diffHrs}h ${diffMins}m`
+      } else {
+        return `${diffMins}m`
+      }
+    },
+    calculateAnnotatorAgreement(annoSummary) {
+      // Interannotator agreement is the percentage of annotations that are the same across all annotators
+      if (!annoSummary.items || annoSummary.items.length === 0) {
+        return 'NA'
+      }
+      const annotators = new Set()
+      annoSummary.items.forEach(anno => {
+        annotators.add(anno.user)
+      })
+
+      // Group annotations by their document/span
+      const annotationsBySpan = {}
+      annoSummary.items.forEach(anno => {
+        const key = `${anno.document_id}_${anno.start}_${anno.end}`
+        if (!annotationsBySpan[key]) {
+          annotationsBySpan[key] = []
+        }
+        annotationsBySpan[key].push(anno)
+      })
+
+      // Check agreement for each span
+      let agreementCount = 0
+      let totalSpans = 0
+
+      for (const spanAnnotations of Object.values(annotationsBySpan)) {
+        // Only consider spans that all annotators have annotated
+        if (spanAnnotations.length === annotators.size) {
+          totalSpans++
+
+          // Check if all annotations for this span agree
+          const firstAnno = spanAnnotations[0]
+          const allAgree = spanAnnotations.every(anno => {
+            return (
+              anno.correct === firstAnno.correct &&
+              anno.deleted === firstAnno.deleted &&
+              anno.killed === firstAnno.killed &&
+              (
+                // For alternative and manually_created, check CUI match when true
+                (!anno.alternative && !firstAnno.alternative) ||
+                (anno.alternative && firstAnno.alternative && anno.cui === firstAnno.cui)
+              ) &&
+              (
+                (!anno.manually_created && !firstAnno.manually_created) ||
+                (anno.manually_created && firstAnno.manually_created && anno.cui === firstAnno.cui)
+              )
+            )
+          })
+
+          if (allAgree) {
+            agreementCount++
+          }
+        }
+      }
+
+      return totalSpans > 0 ? ((agreementCount / totalSpans) * 100).toFixed(1) : 0
+    },
+    formatMetric(value) {
+      return typeof value === 'number' && !isNaN(value) ? value.toFixed(2) : '-'
+    },
+    calculateMacroAverage(metric) {
+      if (!this.conceptSummary.items || this.conceptSummary.items.length === 0) {
+        return '0.0'
+      }
+      const sum = this.conceptSummary.items.reduce((acc, item) => acc + item[metric], 0)
+      return ((sum / this.conceptSummary.items.length) * 100).toFixed(1)
+    },
+    calculateMicroAverage(metric) {
+      if (!this.conceptSummary.items || this.conceptSummary.items.length === 0) {
+        return '0.0'
+      }
+      let totalTPs = 0
+      let totalFPs = 0
+      let totalFNs = 0
+
+      this.conceptSummary.items.forEach(item => {
+        totalTPs += item.tps
+        totalFPs += item.fps
+        totalFNs += item.fns
+      })
+
+      let precision = totalTPs / (totalTPs + totalFPs)
+      let recall = totalTPs / (totalTPs + totalFNs)
+      let f1 = 2 * (precision * recall) / (precision + recall)
+
+      switch(metric) {
+        case 'cui_prec':
+          return (precision * 100).toFixed(1)
+        case 'cui_rec':
+          return (recall * 100).toFixed(1)
+        case 'cui_f1':
+          return (f1 * 100).toFixed(1)
+        default:
+          return '0.0'
+      }
+    },
+    calculateMetaTaskAverage(task, metricType, metric) {
+      if (!this.metaAnnsSummary.items || this.metaAnnsSummary.items.length === 0) {
+        return '0.0'
+      }
+
+      if (metricType === 'macro') {
+        // For macro average, simply average the metrics across all concepts
+        const sum = this.metaAnnsSummary.items.reduce((acc, item) => acc + item.meta_tasks[task][metricType][metric], 0)
+        return ((sum / this.metaAnnsSummary.items.length) * 100).toFixed(1)
+      } else {
+        // For micro average, we need to weight by the total number of samples per class
+        let totalSamples = 0
+        let weightedSum = 0
+
+        this.metaAnnsSummary.items.forEach(item => {
+          const classes = item.meta_tasks[task].classes
+          Object.values(classes).forEach(classMetrics => {
+            const classTotal = classMetrics.total
+            totalSamples += classTotal
+            weightedSum += classMetrics[metric] * classTotal
+          })
+        })
+
+        return totalSamples > 0 ? ((weightedSum / totalSamples) * 100).toFixed(1) : '0.0'
+      }
+    }
+  },
+  watch: {
+    tab(newTab) {
+      if (newTab === 'summary_stats') {
+        this.$nextTick(() => {
+          this.annoChart()
+        })
+      }
+    }
+  },
+  mounted() {
+    window.addEventListener('keydown', this.keydown)
+  },
+  beforeDestroy() {
+    window.removeEventListener('keydown', this.keydown)
+  }
+}
+</script>
+
+<style lang="scss">
+$metrics-header-height: 50px;
+
+.metrics-view {
+  // full-height minus app header height
+  height: calc(100% - 60px);
+}
+
+.metrics-header {
+  @extend .title;
+  padding: 10px;
+  height: $metrics-header-height;
+}
+
+.header-row {
+  flex-wrap: nowrap;
+  padding: 5px 0;
+}
+
+.report-name-label {
+  padding: 10px;
+  display: inline-block;
+}
+
+.viewport-full-height {
+  height: calc(100% - #{$metrics-header-height});
+  padding: 10px;
+}
+
+.no-report-name {
+  color: #768692; // NHS Mid Grey
+}
+
+.completed-report-name {
+  padding: 10px;
+  display: inline-block;
+  font-style: italic;
+}
+
+.report-name-input {
+  display: inline-block;
+  height: 30px;
+  width: 250px;
+  padding-left: 5px;
+}
+
+.viewport {
+  height: 100%;
+
+  .tab-pane {
+    height: calc(100% - 48px);
+    overflow-y: auto;
+  }
+}
+
+.tabs-component-panels {
+  height: calc(100% - 60px);
+}
+
+.user-stats {
+  overflow-y: auto;
+  height: 100%
+}
+
+.anno-summary {
+  overflow-y: auto;
+  height: 100%
+}
+
+.concept-summary {
+  overflow-y: auto;
+}
+
+.meta-anno-summary {
+  overflow-y: auto;
+  height: 100%
+}
+
+.good-perf {
+  color: #E5EBEA;
+}
+
+.perf-progress {
+  width: 50px;
+}
+
+.edit-name-icon {
+  height: 11px;
+  margin-bottom: 15px;
+  opacity: 0.5;
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+.summary-row {
+  padding: 10px 0;
+  margin: 0 !important;
+  display: flex;
+  flex: 1;
+  width: 100%;
+}
+
+.summary-card {
+  padding: 5px;
+  margin: 2px;
+  flex: 1;
+
+  .v-card-title {
+    font-size: 0.9rem;
+    color: $text;
+    padding: 8px;
+  }
+
+  .v-card-text {
+    font-size: 1.5rem;
+    font-weight: bold;
+    text-align: center;
+    padding: 8px;
+    color: $secondary;
+  }
+}
+
+.res-btn {
+  height: 25px;
+  padding: 3px 10px !important;
+  border: 0 !important;
+  &:hover {
+    color: white !important;
+  }
+}
+.v-input--density-default {
+  --v-input-control-height: 30px !important;
+  --v-input-padding-top: 0px !important;
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue b/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue
new file mode 100644
index 000000000..c4a83fb15
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue
@@ -0,0 +1,178 @@
+<template>
+  <div class="full-height metrics-reports-table">
+    <v-data-table :items="reports.items"
+                  :headers="reports.headers"
+                  :hover="true"
+                  @click:row="loadMetrics"
+                  hide-default-footer
+                  :items-per-page="-1">
+      <template #item.projects="{ item }" >
+        <div @click.stop>
+          <v-runtime-template :template="projectsFormatter(item.projects)"></v-runtime-template>
+        </div>
+      </template>
+
+      <template #item.status="{ item }">
+        <span v-if="item.status === 'pending'">Pending
+          <font-awesome-icon icon="fa-regular fa-clock" class="status-icon"></font-awesome-icon>
+        </span>
+        <span v-if="item.status === 'running'">Running
+          <font-awesome-icon icon="spinner" spin class="status-icon"></font-awesome-icon>
+        </span>
+        <span v-if="item.status === 'complete'">Complete
+          <font-awesome-icon icon="check" class="status-icon success"></font-awesome-icon>
+        </span>
+      </template>
+      <template #item.cleanup="{ item }">
+        <div @click.stop>
+          <button class="btn btn-outline-danger" @click="confDeleteReportModal = item"
+                  :disabled="item.status === 'pending' || item.status === 'running'">
+              <font-awesome-icon icon="times"></font-awesome-icon>
+          </button>
+        </div>
+      </template>
+    </v-data-table>
+
+    <v-overlay :model-overlay="loadingReports">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+      <span class="overlay-message">Loading Metrics Reports...</span>
+    </v-overlay>
+
+    <modal v-if="confDeleteReportModal" :closable="true" @modal:close="confDeleteReportModal = null">
+      <template #header>
+        <h3>Confirm Delete Metrics Report</h3>
+      </template>
+      <template #body>
+        <div v-if="confDeleteReportModal.status === 'running'">
+          Metrics report still running, this will cancel the running metrics report running job
+        </div>
+        <div v-if="confDeleteReportModal.status === 'complete'">
+          Confirm complete metrics report deletion. To regenerate the report reselect the projects on the
+          home screen and select metrics.
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-danger" @click="confRemoval">Confirm</button>
+      </template>
+    </modal>
+
+  </div>
+</template>
+
+<script>
+import VRuntimeTemplate from 'vue3-runtime-template'
+import Modal from '@/components/common/Modal.vue'
+
+export default {
+  name: "MetricsHome",
+  components: {Modal, VRuntimeTemplate,},
+  props: {
+  },
+  data () {
+    return {
+      loadingReports: false,
+      confDeleteReportModal: null,
+      projects: {},
+      reports: {
+        items: [],
+        headers: [
+          { value: 'report_id', title: 'ID' },
+          { value: 'report_name', title: 'Report Name' },
+          { value: 'created_user', title: 'Created User' },
+          { value: 'create_time', title: 'Create Time' },
+          { value: 'projects', title: 'Projects' },
+          { value: 'status', title: 'Status' },
+          { value: 'cleanup', title: 'Remove' }
+        ]
+      }
+    }
+  },
+  created () {
+    this.loadingReports = true
+    this.pollReportStatus()
+  },
+  methods: {
+    pollReportStatus () {
+      this.$http.get('/api/metrics-job/').then(resp => {
+        this.loadingReports = false
+        this.reports.items = resp.data.reports.map(i => {
+          const item = {...i}
+          item.report_name = item.report_name || item.report_name_generated
+          return item
+        })
+        this.fetchProjects()
+        setTimeout(this.pollReportStatus, 5000)
+      })
+    },
+    fetchProjects () {
+      this.reports.items.forEach(item => {
+        item.projects.forEach(projId => {
+          if (!Object.keys(this.projects).includes(projId)) {
+            this.$http.get(`/api/project-annotate-entities/${projId}/`).then(resp => {
+              this.projects[projId] = resp.data
+            })
+          }
+        })
+      })
+    },
+    loadMetrics (_, { item }) {
+      this.$router.push({
+        name: 'metrics',
+        params: {
+          reportId: item.report_id
+        }
+      })
+    },
+    confRemoval () {
+      const item = this.confDeleteReportModal
+      this.$http.delete(`/api/metrics-job/${this.confDeleteReportModal.report_id}/`).then(_ => {
+        this.confDeleteReportModal = null
+        this.reports.items.splice(item)
+      }).finally(() => {
+        this.confDeleteReportModal = null
+      })
+    },
+    projectsFormatter (value) {
+      let outEl = ''
+      value.forEach(i => {
+        if (this.projects[i]) {
+          outEl += `
+          <div>
+            <router-link :to="{ name: 'train-annotations', params: { projectId: '${i}' }}">${this.projects[i].name}</router-link>
+          </div>`
+        } else {
+          outEl += `
+            <div>
+              ${i} <font-awesome-icon icon="spinner" spin></font-awesome-icon>
+            </div>`
+        }
+      })
+      return `<div>${outEl}</div>`
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.metrics-reports-table {
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+  height: calc(100% - 100px);
+  overflow-y: auto;
+}
+
+.status-icon {
+  padding-left: 3px;
+}
+
+.project-links {
+  color: #005EB8;
+
+  &:hover {
+    color: #fff;
+    border-bottom: 1px solid #fff;
+  }
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue b/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue
new file mode 100644
index 000000000..257569fe6
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue
@@ -0,0 +1,986 @@
+<template>
+  <div @click="selectRelation(null)" class="container-fluid app-container">
+    <div class="app-header">
+      <div class="project-name">
+        <h4>{{ project === null ? '' : project.name }}</h4>
+      </div>
+
+      <div class="meta">
+        <h5 class="file-name-heading" v-if="((docs || {}).length || 0) > 0">
+          <span class="file-name">{{ (currentDoc || {}).name }}</span>
+          <span class="divider">|</span>
+          <span class="files-remaining">{{ totalDocs - (project !== null ? project.validated_documents.length : 0) }} Remaining</span>
+        </h5>
+        <button class="btn btn-default" @click="summaryModal = true">
+          <font-awesome-icon icon="list-alt" class="summary-icon"></font-awesome-icon>
+        </button>
+        <button class="btn btn-default" @click="helpModal = true">
+          <font-awesome-icon icon="question-circle" class="help-icon"></font-awesome-icon>
+        </button>
+        <button class="btn btn-default" @click="resetModal = true">
+          <font-awesome-icon icon="undo" class="undo-icon"></font-awesome-icon>
+        </button>
+      </div>
+    </div>
+
+    <div class="app-main">
+      <document-summary :projId="(project || {}).id" :docs="docs" :moreDocs="nextDocSetUrl !== null"
+                        :validatedDocIds="(project || {}).validated_documents"
+                        :preparedDocIds="(project || {}).prepared_documents"
+                        :selectedDocId="currentDoc !== null ? currentDoc.id : null" :loadingDoc="loadingMsg !== null"
+                        @request:nextDocSet="fetchDocuments()" @request:loadDoc="loadDoc"></document-summary>
+      <splitpanes class="default-theme">
+        <pane size="70" min-size="20">
+          <div class="main-viewport">
+            <clinical-text :loading="loadingMsg" :text="currentDoc !== null ? currentDoc.text : null"
+                           :current-ent="currentEnt" :ents="ents" :task-name="taskName" :task-values="taskValues"
+                           :addAnnos="true" :current-rel-start-ent="(currentRel || {}).start_entity"
+                           :current-rel-end-ent="(currentRel || {}).end_entity"
+                           @select:concept="selectEntity" @select:addSynonym="addSynonym"
+                           @pick:concept="conceptPickerState" @remove:newAnno="removeNewAnno"></clinical-text>
+            <div class="task-nav-bar">
+              <nav-bar class="nav" :ents="ents" :currentEnt="currentEnt" @select:next="next"
+                       @select:back="back"></nav-bar>
+              <task-bar class="tasks" :taskLocked="taskLocked" :ents="ents" :altSearch="altSearch"
+                        :submitLocked="docToSubmit !== null" :terminateEnabled="(project || {}).terminate_available"
+                        :irrelevantEnabled="(project || {}).irrelevant_available"
+                        :conceptSelection="conceptSynonymSelection"
+                        @select:remove="markRemove" @select:correct="markCorrect"
+                        @select:kill="markKill" @select:alternative="toggleAltSearch"
+                        @select:irrelevant="markIrrelevant" @submit="submitDoc"></task-bar>
+            </div>
+          </div>
+        </pane>
+        <pane size="15" min-size="10">
+          <div class="sidebar-container">
+            <transition name="slide-left">
+              <div>
+                <concept-summary v-if="!conceptSynonymSelection && !hasRelations" :selectedEnt="currentEnt"
+                                 :altSearch="altSearch"
+                                 :project="project" :searchFilterDBIndex="searchFilterDBIndex"
+                                 @select:altConcept="markAlternative"
+                                 @select:alternative="toggleAltSearch"
+                                 @updated:entityComment="markEntity(false)"
+                                 class="concept-summary"></concept-summary>
+                <v-tabs v-if="!conceptSynonymSelection && hasRelations" v-model="tab">
+                  <v-tab :value="'concept'">Concept</v-tab>
+                  <v-tab :value="'relation'">Relation</v-tab>
+                  <v-tab title="Relations" v-if="hasRelations && docId">
+                  </v-tab>
+                </v-tabs>
+                <v-tabs-window v-if="!conceptSynonymSelection && hasRelations" v-model="tab">
+                  <v-tabs-window-item :value="'concept'">
+                    <concept-summary :selectedEnt="currentEnt" :altSearch="altSearch"
+                                     :project="project" :searchFilterDBIndex="searchFilterDBIndex"
+                                     @select:altConcept="markAlternative" @select:alternative="toggleAltSearch"
+                                     class="concept-summary"></concept-summary>
+                  </v-tabs-window-item>
+                  <v-tabs-window-item :value="'relation'">
+                    <relation-annotation-task-container :available-relations="project.relations"
+                                                        :project-id="project.id"
+                                                        :document-id="docId" :selected-entity="currentEnt"
+                                                        :curr-relation="currentRel" @selected:relation="selectRelation">
+                    </relation-annotation-task-container>
+                  </v-tabs-window-item>
+                </v-tabs-window>
+              </div>
+            </transition>
+            <transition name="slide-left">
+              <meta-annotation-task-container v-if="metaAnnotate" :model-pack-set="!!project.model_pack"
+                                              :taskIDs="hasMetaTasks"
+                                              :selectedEnt="currentEnt">
+              </meta-annotation-task-container>
+            </transition>
+            <transition name="slide-left">
+              <add-annotation v-if="conceptSynonymSelection" :selection="conceptSynonymSelection"
+                              :project="project" :documentId="currentDoc.id" :searchFilterDBIndex="searchFilterDBIndex"
+                              @request:addAnnotationComplete="addAnnotationComplete"
+                              class="add-annotation"></add-annotation>
+            </transition>
+          </div>
+        </pane>
+      </splitpanes>
+    </div>
+
+    <modal v-if="helpModal" class="help-modal" :closable="true" @modal:close="helpModal = false">
+      <template #header>
+        <h3>{{ project.name }} Annotation Help</h3>
+      </template>
+      <template #body>
+        <div class="help-modal-body">
+          <div class="concept-filter-search">
+            <div class="project-filter-title">
+              Project Concepts Annotated:
+            </div>
+            <concept-filter :cuis="project.cuis" :cdb_id="project.concept_db"></concept-filter>
+          </div>
+
+          <v-expansion-panels>
+            <v-expansion-panel v-if="project.annotation_guideline_link" title="Annotation Guidelines">
+              <v-expansion-panel-text>
+                Link to guideline <a :href="'' + project.annotation_guideline_link + ''">here</a>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+            <v-expansion-panel title="Keyboard Shortcuts">
+              <v-expansion-panel-text>
+                <table class="table">
+                  <thead>
+                  <tr>
+                    <th>Shortcut Key</th>
+                    <th>Key Name</th>
+                    <th>Description</th>
+                  </tr>
+                  </thead>
+                  <tbody>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-up"></font-awesome-icon>
+                    </td>
+                    <td>Up Arrow</td>
+                    <td>Previous Document</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-down"></font-awesome-icon>
+                    </td>
+                    <td>Down Arrow</td>
+                    <td>Next Document</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-left"></font-awesome-icon>
+                    </td>
+                    <td>Left Arrow</td>
+                    <td>Previous Concept</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-right"></font-awesome-icon>
+                      or space
+                    </td>
+                    <td>Right Arrow or Space bar</td>
+                    <td>Next Concept</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="level-down-alt" :transform="{ rotate: 90 }"></font-awesome-icon>
+                    </td>
+                    <td>Enter Key</td>
+                    <td>Submit / Submit Confirm (on submit summary)</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>1 Key</td>
+                    <td>Correct</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>2 Key</td>
+                    <td>Incorrect</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>3 Key (if set on your project)</td>
+                    <td>Terminate</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>4 Key</td>
+                    <td>Alternative</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>5 Key (if set on your project)</td>
+                    <td>Irrelevant</td>
+                  </tr>
+                  </tbody>
+                </table>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+            <v-expansion-panel title="Experimental Features">
+              <v-expansion-panel-text>
+                <button class="btn btn-primary" :disabled="resubmittingAllDocs" @click="submitAll">
+                  <span v-if="!resubmittingAllDocs">Re-Submit All Validated Documents</span>
+                  <span v-if="resubmittingAllDocs">Submitting...</span>
+                </button>
+                <transition name="alert"><span v-if="resubmitSuccess" class="alert alert-info">Successfully Re-submitted</span>
+                </transition>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+          </v-expansion-panels>
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="helpModal = false">Close</button>
+      </template>
+    </modal>
+
+    <modal v-if="errors.modal" @modal:close="errors.modal = false" class="error-modal">
+      <template #header>
+        <h3 slot="header" class="text-danger">Error: {{ errors.message }}</h3>
+      </template>
+      <template #body>
+        <div class="error-body">
+          <p v-if="errors.description.length > 0">{{ errors.description }}</p>
+          <p v-if="errors.stacktrace">Full Error:</p>
+          <p v-if="errors.stacktrace" class="error-stacktrace">{{ errors.stacktrace }}</p>
+        </div>
+      </template>
+      <template #footer>
+        <a href="/">
+          <button class="btn btn-primary">MedCATtrainer Home</button>
+        </a>
+      </template>
+    </modal>
+
+    <modal v-if="projectCompleteModal" @modal:close="projectCompleteModal = false">
+      <template #header>
+        <h3 class="text-success">Project Annotations Complete</h3>
+      </template>
+      <template #body>
+        <p>Exit this window to review annotations or return to the project selection screen</p>
+      </template>
+      <template #footer>
+        <a href="/">
+          <button class="btn btn-primary">MedCATtrainer Home</button>
+        </a>
+      </template>
+    </modal>
+
+    <modal v-if="docToSubmit" :closable="true" @modal:close="docToSubmit=null" class="summary-modal">
+      <template #header>
+        <h3>Submit Document</h3>
+      </template>
+      <template #body>
+        <div slot="body">
+          <annotation-summary :annos="ents" :currentDoc="currentDoc"
+                              :taskIDs="hasMetaTasks" :searchFilterDBIndex="searchFilterDBIndex"
+                              @select:AnnoSummaryConcept="selectEntityFromSummary"></annotation-summary>
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" :disabled="submitConfirmedLoading" @click="submitConfirmed()">
+          <span v-if="!submitConfirmedLoading">Confirm</span>
+          <span v-if="submitConfirmedLoading">
+            Submitting Document
+            <font-awesome-icon icon="spinner" spin></font-awesome-icon>
+          </span>
+        </button>
+      </template>
+    </modal>
+
+    <modal v-if="summaryModal" :closable="true" @modal:close="summaryModal = false" class="summary-modal">
+      <template #header>
+        <h3>Annotation Summary</h3>
+      </template>
+      <template #body>
+        <annotation-summary :annos="ents" :currentDoc="currentDoc"
+                            :taskIDs="(project || {}).tasks || []"
+                            @select:AnnoSummaryConcept="selectEntityFromSummary"></annotation-summary>
+      </template>
+    </modal>
+
+    <modal v-if="resetModal" :closable="true" @modal:close="resetModal = false" class="reset-modal">
+      <template #header>
+        <h3>Reset Document</h3>
+      </template>
+
+      <template #body>
+        <div>
+          <p class="text-center">Confirm reset of document annotations</p>
+          <p class="text-center">This will clear all current annotations in this document</p>
+        </div>
+      </template>
+
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmReset">Confirm</button>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+import ConceptSummary from '@/components/common/ConceptSummary.vue'
+import DocumentSummary from '@/components/common/DocumentSummary.vue'
+import Modal from '@/components/common/Modal.vue'
+import ClinicalText from '@/components/common/ClinicalText.vue'
+import NavBar from '@/components/common/NavBar.vue'
+import TaskBar from '@/components/anns/TaskBar.vue'
+import AddAnnotation from '@/components/anns/AddAnnotation.vue'
+import MetaAnnotationTaskContainer from '@/components/usecases/MetaAnnotationTaskContainer.vue'
+import RelationAnnotationTaskContainer from '@/components/usecases/RelationAnnotationTaskContainer.vue'
+import AnnotationSummary from '@/components/common/AnnotationSummary.vue'
+import ConceptFilter from "@/components/common/ConceptFilter.vue"
+import {Splitpanes, Pane} from 'splitpanes'
+
+const TASK_NAME = 'Concept Annotation'
+const CONCEPT_CORRECT = 'Correct'
+const CONCEPT_REMOVED = 'Deleted'
+const CONCEPT_KILLED = 'Killed'
+const CONCEPT_ALTERNATIVE = 'Alternative'
+const CONCEPT_IRRELEVANT = 'Irrelevant'
+
+const TASK_VALUES = [CONCEPT_CORRECT, CONCEPT_REMOVED, CONCEPT_KILLED, CONCEPT_ALTERNATIVE, CONCEPT_IRRELEVANT]
+
+let LOAD_NUM_DOC_PAGES = 10 // 100 docs per page, 1000 documents
+
+export default {
+  name: 'TrainAnnotations',
+  components: {
+    ConceptFilter,
+    ConceptSummary,
+    DocumentSummary,
+    Modal,
+    ClinicalText,
+    NavBar,
+    TaskBar,
+    AddAnnotation,
+    MetaAnnotationTaskContainer,
+    RelationAnnotationTaskContainer,
+    AnnotationSummary,
+    Splitpanes,
+    Pane,
+  },
+  props: {
+    projectId: {
+      required: true
+    },
+    docId: {
+      required: false
+    }
+  },
+  computed: {
+    hasRelations() {
+      return ((this.project || {}).relations || []).length > 0
+    },
+    hasMetaTasks() {
+      return (this.project || {}).tasks || []
+    }
+  },
+  data() {
+    return {
+      docs: null,
+      docIds: null,
+      docIdsToDocs: null,
+      totalDocs: 0,
+      nextDocSetUrl: null,
+      nextEntSetUrl: null,
+      taskLocked: false,
+      taskName: TASK_NAME,
+      taskValues: TASK_VALUES,
+      project: null,
+      searchFilterDBIndex: null,
+      ents: null,
+      currentDoc: null,
+      currentEnt: null,
+      currentRel: null,
+      loadingMsg: null,
+      resubmittingAllDocs: false,
+      resubmitSuccess: false,
+      helpModal: false,
+      projectCompleteModal: false,
+      resetModal: false,
+      conceptPickerOpen: true,
+      errors: {
+        modal: false,
+        message: '',
+        description: '',
+        stacktrace: ''
+      },
+      summaryModal: false,
+      docToSubmit: null,
+      submitConfirmedLoading: false,
+      altSearch: false,
+      conceptSynonymSelection: null,
+      metaAnnotate: false,
+      tab: null
+    }
+  },
+  created() {
+    this.fetchAnnoConf()
+  },
+  methods: {
+    fetchAnnoConf() {
+      this.$http.get(`/api/anno-conf/`).then(resp => {
+        LOAD_NUM_DOC_PAGES = resp.data['LOAD_NUM_DOC_PAGES'] || LOAD_NUM_DOC_PAGES
+        this.fetchData()
+      })
+    },
+    fetchData() {
+      this.$http.get(`/api/project-annotate-entities/?id=${this.projectId}`).then(resp => {
+        if (resp.data.count === 0) {
+          this.errors.modal = true
+          this.errors.message = `No project found for project ID: ${this.$route.params.projectId}`
+        } else {
+          this.project = resp.data.results[0]
+          this.fetchCDBSearchIndex()
+          const loadedDocs = () => {
+            this.docIds = this.docs.map(d => d.id)
+            this.docIdsToDocs = Object.assign({}, ...this.docs.map(item => ({[item['id']]: item})))
+            const docIdRoute = Number(this.$route.params.docId)
+            if (docIdRoute) {
+              while (!this.docs.map(d => d.id).includes(docIdRoute)) {
+                this.fetchDocuments(0, loadedDocs)
+              }
+              this.loadDoc(this.docIdsToDocs[docIdRoute])
+            } else {
+              // find first unvalidated doc.
+              const ids = _.difference(this.docIds, this.project.validated_documents)
+              if (ids.length > 0) {
+                this.loadDoc(this.docIdsToDocs[ids[0]])
+              } else {
+                // no unvalidated docs and no next doc URL. Go back to first doc
+                this.loadDoc(this.docs[0])
+              }
+            }
+          }
+          this.fetchDocuments(0, loadedDocs)
+        }
+      })
+    },
+    fetchDocuments(numPagesLoaded, finishedLoading) {
+      let params = this.nextDocSetUrl === null ? `?dataset=${this.project.dataset}`
+          : `?${this.nextDocSetUrl.split('?').slice(-1)[0]}`
+
+      this.$http.get(`/api/documents/${params}`).then(resp => {
+        if (resp.data.results.length > 0) {
+          this.docs = resp.data.previous === null ? resp.data.results : this.docs.concat(resp.data.results)
+          this.totalDocs = resp.data.count
+          this.nextDocSetUrl = resp.data.next
+
+          if (this.nextDocSetUrl && numPagesLoaded < LOAD_NUM_DOC_PAGES) {
+            this.fetchDocuments(numPagesLoaded + 1, finishedLoading)
+          } else {
+            if (finishedLoading) {
+              finishedLoading()
+            }
+          }
+        }
+      }).catch(err => {
+        console.error(err)
+        // use error modal to show errors?
+      })
+      return finishedLoading
+    },
+    fetchCDBSearchIndex() {
+      if (this.project.cdb_search_filter.length > 0) {
+        this.$http.get(`/api/concept-dbs/${this.project.cdb_search_filter[0]}/`).then(resp => {
+          if (resp.data) {
+            this.searchFilterDBIndex = `${resp.data.name}_id_${this.project.cdb_search_filter}`
+          }
+        })
+      }
+    },
+    loadDoc(doc) {
+      this.currentDoc = doc
+      if (String(this.$route.params.docId) !== String(doc.id)) {
+        this.$router.replace({
+          name: this.$route.name,
+          params: {
+            projectId: this.$route.params.projectId,
+            docId: doc.id
+          }
+        })
+      }
+      this.currentEnt = null
+      this.prepareDoc()
+    },
+    prepareDoc () {
+      if (this.project.prepared_documents.includes(this.currentDoc.id)) {
+        this.fetchEntities()
+      } else {
+        this.loadingMsg = "Loading MedCAT model..."
+        this.$http.get(`/api/cache-model/${this.project.id}/`).then(_ => {
+          this.loadingMsg = "Preparing Document..."
+          let payload = {
+            project_id: this.project.id,
+            document_ids: [this.currentDoc.id]
+          }
+          this.$http.post('/api/prepare-documents/', payload).then(_ => {
+            // assuming a 200 is fine here.
+            if (!this.project.prepared_documents.includes(this.currentDoc.id)) {
+              this.project.prepared_documents.push(this.currentDoc.id)
+            }
+            this.fetchEntities()
+          }).catch(err => {
+            this.errors.modal = true
+            if (err.response) {
+              this.errors.message = err.response.data.message || 'Internal Server Error.'
+              this.errors.description = err.response.data.description || ''
+              this.errors.stacktrace = err.response.data.stacktrace
+            }
+          })
+        }).catch(e => {
+          this.errors.modal = true
+          this.errors.description = e.response?.data?.message || 'Internal server error - cannot load MedCAT model. Contact your MedCAT admin quoting this project ID'
+          this.errors.message = 'Failed to load MedCAT Model'
+        })
+      }
+    },
+    fetchEntities(selectedEntId) {
+      let params = this.nextEntSetUrl === null ? `?project=${this.projectId}&document=${this.currentDoc.id}`
+          : `?${this.nextEntSetUrl.split('?').slice(-1)[0]}`
+      this.$http.get(`/api/annotated-entities/${params}`).then(resp => {
+        let useAssignedVal = !this.project.require_entity_validation ||
+            this.project.validated_documents.indexOf(this.currentDoc.id) !== -1
+
+        const ents = resp.data.results.map(e => {
+          e.assignedValues = {}
+          e.assignedValues[TASK_NAME] = null
+          if (useAssignedVal || e.validated) {
+            let taskVal = CONCEPT_CORRECT
+            if (e.deleted) {
+              taskVal = CONCEPT_REMOVED
+            } else if (e.killed) {
+              taskVal = CONCEPT_KILLED
+            } else if (e.alternative) {
+              taskVal = CONCEPT_ALTERNATIVE
+            } else if (e.irrelevant) {
+              taskVal = CONCEPT_IRRELEVANT
+            }
+            e.assignedValues[TASK_NAME] = taskVal
+          }
+          return e
+        })
+        if (resp.data.previous === null) {
+          this.ents = ents
+        } else {
+          this.ents = this.ents.concat(ents)
+        }
+        this.nextEntSetUrl = resp.data.next
+        if (this.nextEntSetUrl) {
+          this.fetchEntities(selectedEntId)
+        } else {
+          this.ents = _.orderBy(this.ents, ['start_ind'], ['asc'])
+          this.currentEnt = selectedEntId ? this.ents[this.ents.map(e => e.id).indexOf(selectedEntId)]
+              : this.ents[0]
+          this.metaAnnotate = this.currentEnt && (this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_ALTERNATIVE ||
+              this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_CORRECT)
+          this.loadingMsg = null
+          if (this.$route.query.annoStart && this.$route.query.annoEnd) {
+            const ent = _.find(this.ents, e => {
+              return Number(this.$route.query.annoStart) === e.start_ind &
+                  Number(this.$route.query.annoEnd) === e.end_ind
+            })
+            if (ent) {
+              this.currentEnt = ent
+            }
+          }
+        }
+      })
+    },
+    selectEntityFromSummary(entIdx) {
+      this.docToSubmit = null
+      this.summaryModal = false
+      this.selectEntity(entIdx)
+    },
+    selectEntity(entIdx) {
+      this.currentEnt = this.ents[entIdx]
+      this.conceptSynonymSelection = null
+      this.metaAnnotate = this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_ALTERNATIVE ||
+          this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_CORRECT
+    },
+    selectRelation(rel) {
+      this.currentRel = rel
+    },
+    setStatus(status) {
+      this.currentEnt.validated = 1
+      // reset statuses in case this is a re-annotation.
+      this.currentEnt.correct = 0
+      this.currentEnt.killed = 0
+      this.currentEnt.alternative = 0
+      this.currentEnt.deleted = 0
+      this.currentEnt.irrelevant = 0
+      this.currentEnt[status] = 1
+    },
+    markCorrect() {
+      if (this.currentEnt) {
+        this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_CORRECT
+        this.setStatus('correct')
+        this.markEntity(this.project.tasks.length === 0)
+        this.metaAnnotate = this.project.tasks.length > 0
+      }
+    },
+    markEntity(moveToNext) {
+      if (this.currentEnt) {
+        this.taskLocked = true
+        this.$http.put(`/api/annotated-entities/${this.currentEnt.id}/`, this.currentEnt).then(_ => {
+          if (moveToNext) {
+            if (this.ents.slice(-1)[0].id !== this.currentEnt.id) {
+              this.next()
+            } else {
+              this.currentEnt = null
+            }
+          }
+          this.taskLocked = false
+        })
+      }
+    },
+    markRemove(kill) {
+      if (this.currentEnt) {
+        this.currentEnt.assignedValues[TASK_NAME] = kill ? CONCEPT_KILLED : CONCEPT_REMOVED
+        if (kill) {
+          this.setStatus('killed')
+        } else {
+          this.setStatus('deleted')
+        }
+        this.markEntity(true)
+        this.metaAnnotate = false
+      }
+    },
+    toggleAltSearch(choice) {
+      this.altSearch = choice
+    },
+    markKill() {
+      this.markRemove(true)
+    },
+    markAlternative(item) {
+      this.altSearch = false
+      this.taskLocked = true
+      this.$http.post(`/api/get-create-entity/`, {label: item.cui}).then(resp => {
+        this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_ALTERNATIVE
+        this.currentEnt.entity = resp.data.entity_id
+        this.setStatus('alternative')
+        this.markEntity(this.project.tasks.length === 0)
+        this.metaAnnotate = this.project.tasks.length > 0
+        let i = this.ents.indexOf(this.currentEnt)
+        this.currentEnt = JSON.parse(JSON.stringify(this.currentEnt))
+        this.ents[i] = this.currentEnt
+      })
+      this.currentEnt.cui = item.cui
+    },
+    markIrrelevant() {
+      this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_IRRELEVANT
+      this.setStatus('irrelevant')
+      this.markEntity(true)
+      this.metaAnnotate = false
+    },
+    addAnnotationComplete(addedAnnotationId) {
+      this.conceptSynonymSelection = null
+      if (addedAnnotationId) {
+        this.$http.get(`/api/annotated-entities/${addedAnnotationId}/`).then(resp => {
+          let newEnt = resp.data
+          newEnt.assignedValues = {}
+          newEnt.assignedValues[TASK_NAME] = CONCEPT_CORRECT
+          this.ents = null
+          this.currentEnt = null
+          this.fetchEntities(newEnt.id)
+        })
+      }
+    },
+    removeNewAnno(i) {
+      let entToRemove = this.ents[i]
+      this.$http.delete(`/api/annotated-entities/${entToRemove.id}/`).then(_ => {
+        if (i === this.ents.length - 1) {
+          this.back()
+        } else {
+          this.next()
+        }
+        this.ents.splice(i, 1)
+      })
+    },
+    addSynonym(selection) {
+      this.conceptSynonymSelection = null
+      let that = this
+      window.setTimeout(function () {
+        that.conceptSynonymSelection = selection
+        that.metaAnnotate = false
+      }, 50)
+    },
+    conceptPickerState(val) {
+      this.conceptPickerOpen = val
+    },
+    next() {
+      this.selectEntity(this.ents.indexOf(this.currentEnt) + 1)
+    },
+    back() {
+      this.selectEntity(this.ents.indexOf(this.currentEnt) - 1)
+    },
+    submitDoc(docId) {
+      if (this.docToSubmit === null) {
+        const annoUpdates = []
+        if (!this.project.require_entity_validation) {
+          this.ents = this.ents.map(ent => {
+            ent.validated = 1
+            if (!(ent.killed || ent.alternative || ent.deleted || ent.irrelevant)) {
+              ent.correct = 1
+            }
+            annoUpdates.push(this.$http.put(`/api/annotated-entities/${ent.id}/`, ent))
+            return ent
+          })
+        }
+        let that = this
+        if (annoUpdates.length > 1) {
+          Promise.all(annoUpdates).then(_ => {
+            that.confirmSubmitListenerAdd()
+            that.docToSubmit = docId
+          })
+        } else {
+          this.confirmSubmitListenerAdd()
+          this.docToSubmit = docId
+        }
+      }
+    },
+    submitConfirmed() {
+      this.confirmSubmitListenerRemove()
+      this.submitConfirmedLoading = true
+      this.$http.get(`/api/project-annotate-entities/?id=${this.projectId}`).then(resp => {
+        // refresh project validated documents as multiple users may be submitting. Mitigates but
+        // does not solve a potential inconsistent validated_documents state seen.
+        let proj = resp.data.results[0]
+        if (proj.validated_documents.indexOf(this.currentDoc.id) === -1) {
+          proj.validated_documents = this.project.validated_documents.concat(this.currentDoc.id)
+        }
+        this.project = proj
+        this.fetchCDBSearchIndex()
+        this.$http.put(`/api/project-annotate-entities/${this.projectId}/`, this.project).then(() => {
+          let payload = {
+            project_id: this.project.id,
+            document_id: this.currentDoc.id
+          }
+          this.$http.post(`/api/submit-document/`, payload).then(() => {
+            this.docToSubmit = null
+            this.submitConfirmedLoading = false
+            if (this.currentDoc.id !== this.docIds.slice(-1)[0].id ||
+                this.project.validated_documents.length !== this.docs.length) {
+              const newDocId = this.docIds[this.docIds.indexOf(this.currentDoc.id) + 1]
+              if (!newDocId) {
+                this.projectCompleteModal = true
+              } else {
+                this.loadDoc(this.docIdsToDocs[newDocId])
+              }
+            }
+          }, (err) => {
+            this.submitConfirmedLoading = false
+            this.docToSubmit = false
+            this.errors.modal = true
+            this.errors.message = err.response.data
+          })
+        })
+      })
+    },
+    submitAll() {
+      let subPromises = []
+      for (const vDoc of this.project.validated_documents) {
+        const payload = {
+          project_id: this.project.id,
+          document_id: vDoc
+        }
+        subPromises.push(this.$http.post(`/api/submit-document/`, payload))
+        this.resubmittingAllDocs = true
+        this.loadingMsg = "Submitting document annotations..."
+        Promise.all(subPromises).then(_ => {
+          this.resubmitSuccess = true
+          this.loadingMsg = null
+          this.resubmittingAllDocs = false
+          const that = this
+          setTimeout(function () {
+            that.resubmitSuccess = false
+          }, 10000)
+        }).catch(() => {
+          this.resubmittingAllDocs = true
+          this.loadingMsg = null
+          this.errors.modal = true
+          this.errors.message = 'Failure re-submitting all validated documents: Refresh Project'
+        })
+      }
+    },
+    keydown(e) {
+      if (e.keyCode === 13 && this.docToSubmit && !this.submitConfirmedLoading) {
+        this.submitConfirmed()
+      } else if (e.keyCode === 27 && this.docToSubmit) {
+        this.docToSubmit = null
+      }
+    },
+    confirmSubmitListenerRemove() {
+      window.removeEventListener('keydown', this.keydown)
+    },
+    confirmSubmitListenerAdd() {
+      window.addEventListener('keydown', this.keydown)
+    },
+    confirmReset() {
+      this.loadingMsg = "Resetting document annotations..."
+      const payload = {
+        project_id: this.project.id,
+        document_ids: [this.currentDoc.id],
+        force: true
+      }
+      this.$http.post('/api/prepare-documents/', payload).then(_ => {
+        this.fetchEntities()
+        this.resetModal = false
+        this.loadingMsg = null
+      }).catch(err => {
+        this.resetModal = false
+        this.errors.modal = true
+        if (err.response) {
+          this.errors.message = err.response.data.message || 'Internal Server Error.'
+          this.errors.description = err.response.data.description || ''
+          this.errors.stacktrace = err.response.data.stacktrace
+        }
+      })
+    }
+  },
+  beforeDestroy() {
+    this.confirmSubmitListenerRemove()
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+$app-header-height: 60px;
+
+.app-header {
+  display: flex;
+  flex-direction: row;
+  flex: 0 0 $app-header-height;
+  line-height: $app-header-height;
+  font-size: 20px;
+  padding: 0 15px;
+}
+
+.Pane {
+  position: static !important;
+}
+
+.project-name {
+  flex: 1 1 auto;
+  color: $text-highlight;
+}
+
+.help-icon, .summary-icon, .undo-icon {
+  color: $text;
+  font-size: 22px;
+}
+
+.summary {
+  padding-left: 20px
+}
+
+.app-header h4 {
+  display: inline-block;
+}
+
+.help-heading {
+  border-bottom: 1px solid transparent;
+
+  &:hover {
+    border-bottom: 1px solid $color-1;
+  }
+}
+
+.concept-filter-search {
+  padding: 5px 0;
+}
+
+.project-filter-title {
+  margin-bottom: 10px;
+}
+
+.meta {
+  flex: 1 1 auto;
+  text-align: right;
+}
+
+.file-name-heading {
+  display: inline-block;
+  padding-left: 20px;
+}
+
+.file-name {
+  display: inline-block;
+  position: relative;
+  top: 5px;
+  font-size: 22px;
+  max-width: 500px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.files-remaining {
+  font-size: 22px;
+}
+
+.app-container {
+  display: flex;
+  height: 100%;
+  flex-direction: column;
+  padding: 5px;
+}
+
+.app-main {
+  display: flex;
+  flex: 1 1 auto;
+  overflow: hidden;
+  height: 100%;
+}
+
+.viewport-container {
+  height: calc(100% - 56px);
+}
+
+.main-viewport {
+  height: 100%;
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+}
+
+.nav {
+  width: 95px;
+  display: inline-block
+}
+
+.tasks {
+  width: calc(100% - 95px);
+  display: inline-block;
+}
+
+.sidebar-container {
+  background-color: var(--bs-body-bg);
+  height: 100%;
+  display: flex;
+  justify-content: space-between;
+  flex-direction: column;
+  padding: 5px;
+
+  .add-annotation {
+    width: 100%;
+    flex: 1 1 auto;
+  }
+}
+
+.task-nav-bar {
+  background-color: var(--bs-body-bg);
+  padding: 5px 5px 0 5px;
+}
+
+.slide-left-enter-active {
+  transition: all .5s ease;
+}
+
+.slide-left-enter, .slide-left-leave-to {
+  position: relative;
+  transform: translateX(50px);
+  transition: all .2s ease;
+  opacity: 0;
+}
+
+.divider {
+  opacity: 0.5;
+  padding: 0 5px;
+}
+
+.summary-title {
+  padding-bottom: 10px;
+  font-size: 17px;
+}
+
+.error-stacktrace {
+  white-space: pre-wrap;
+}
+
+</style>
diff --git a/medcat-trainer/webapp/frontend/tsconfig.app.json b/medcat-trainer/webapp/frontend/tsconfig.app.json
new file mode 100644
index 000000000..9090e9447
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/tsconfig.app.json
@@ -0,0 +1,14 @@
+{
+  "extends": "@vue/tsconfig/tsconfig.dom.json",
+  "include": ["env.d.ts"], // Add src back in here when its typescript compliant
+  "exclude": ["src/**/__tests__/*", "src/**/*", "src/**/*.vue"],
+  "compilerOptions": {
+    "composite": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
+
+    "baseUrl": ".",
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/tsconfig.json b/medcat-trainer/webapp/frontend/tsconfig.json
new file mode 100644
index 000000000..2d3638f3b
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/tsconfig.json
@@ -0,0 +1,18 @@
+{
+  "files": [],
+  "references": [
+    {
+      "path": "./tsconfig.node.json"
+    },
+    {
+      "path": "./tsconfig.app.json"
+    },
+    {
+      "path": "./tsconfig.vitest.json"
+    }
+  ],
+  "compilerOptions": {
+    "target": "esnext",
+    "module": "esnext"
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/tsconfig.node.json b/medcat-trainer/webapp/frontend/tsconfig.node.json
new file mode 100644
index 000000000..f09406303
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/tsconfig.node.json
@@ -0,0 +1,19 @@
+{
+  "extends": "@tsconfig/node20/tsconfig.json",
+  "include": [
+    "vite.config.*",
+    "vitest.config.*",
+    "cypress.config.*",
+    "nightwatch.conf.*",
+    "playwright.config.*"
+  ],
+  "compilerOptions": {
+    "composite": true,
+    "noEmit": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
+
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "types": ["node"]
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/tsconfig.vitest.json b/medcat-trainer/webapp/frontend/tsconfig.vitest.json
new file mode 100644
index 000000000..571995d11
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/tsconfig.vitest.json
@@ -0,0 +1,11 @@
+{
+  "extends": "./tsconfig.app.json",
+  "exclude": [],
+  "compilerOptions": {
+    "composite": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.vitest.tsbuildinfo",
+
+    "lib": [],
+    "types": ["node", "jsdom"]
+  }
+}
diff --git a/medcat-trainer/webapp/frontend/vite.config.ts b/medcat-trainer/webapp/frontend/vite.config.ts
new file mode 100644
index 000000000..fba0599d6
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/vite.config.ts
@@ -0,0 +1,48 @@
+import { fileURLToPath, URL } from 'node:url'
+
+import { defineConfig } from 'vite'
+import vue from '@vitejs/plugin-vue'
+import vueDevTools from 'vite-plugin-vue-devtools'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [
+    vue(),
+    vueDevTools(),
+  ],
+  resolve: {
+    alias: {
+      vue: 'vue/dist/vue.esm-bundler.js',
+      '@': fileURLToPath(new URL('./src', import.meta.url))
+    }
+  },
+  build: {
+    sourcemap: true,
+    assetsDir: 'static'
+  },
+  server: {
+    host: '127.0.0.1',
+    proxy: {
+      '^/api/concepts/*': {
+        target: 'http://127.0.0.1:8983/solr',
+        changeOrigin: true,
+        secure: false,
+        rewrite: (path) => path.replace(/\/api\/concepts/, '/')
+      },
+      '^/api/*': {
+        target: 'http://127.0.0.1:8001'
+      }
+    }
+  },
+  css: {
+    preprocessorOptions: {
+      scss: {
+        additionalData: `
+          @import "@/styles/_variables.scss";
+          @import "@/styles/_common.scss";
+          @import "@/styles/_tabs.scss";
+        `
+      }
+    }
+  }
+})
diff --git a/medcat-trainer/webapp/frontend/vitest.config.ts b/medcat-trainer/webapp/frontend/vitest.config.ts
new file mode 100644
index 000000000..4b1c89799
--- /dev/null
+++ b/medcat-trainer/webapp/frontend/vitest.config.ts
@@ -0,0 +1,14 @@
+import { fileURLToPath } from 'node:url'
+import { mergeConfig, defineConfig, configDefaults } from 'vitest/config'
+import viteConfig from './vite.config'
+
+export default mergeConfig(
+  viteConfig,
+  defineConfig({
+    test: {
+      environment: 'jsdom',
+      exclude: [...configDefaults.exclude, 'e2e/**'],
+      root: fileURLToPath(new URL('./', import.meta.url))
+    }
+  })
+)
diff --git a/medcat-trainer/webapp/requirements.txt b/medcat-trainer/webapp/requirements.txt
new file mode 100644
index 000000000..c0226302a
--- /dev/null
+++ b/medcat-trainer/webapp/requirements.txt
@@ -0,0 +1,13 @@
+--extra-index-url https://download.pytorch.org/whl/cpu/
+uwsgi==2.0.*
+Django==5.1.*
+django-filter==24.2.*
+django-polymorphic==3.0.*
+djangorestframework==3.15.*
+django-background-tasks-updated==1.2.*
+openpyxl==3.1.2
+medcat[meta-cat,spacy,rel-cat,deid]==2.2.*
+psycopg[binary,pool]==3.2.9
+cryptography==45.0.*
+drf-oidc-auth==3.0.0
+django-health-check==3.20.0
diff --git a/medcat-trainer/webapp/scripts/backup_db.sh b/medcat-trainer/webapp/scripts/backup_db.sh
new file mode 100755
index 000000000..c2d25c8f3
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/backup_db.sh
@@ -0,0 +1,33 @@
+#!/bin/sh
+
+DB_ENGINE="${DB_ENGINE:-sqlite3}"
+if [ "$DB_ENGINE" != "sqlite3" ]; then
+  echo "Skipping db backup script as the db type is not  set to 'sqlite3'. The DB_ENGINE env var is set to '${DB_ENGINE}' "
+  return 0
+fi
+
+if [ -n "${DB_BACKUP_DIR}" ] && [ -f "${DB_PATH}" ]; then
+  echo "Found backup dir location: ${DB_BACKUP_DIR} and DB_PATH: ${DB_PATH}"
+  if [ ! -d "${DB_BACKUP_DIR}" ]; then
+    mkdir DB_BACKUP_DIR
+  else
+    # remove backups older than 90 days.
+    echo "Checking age of current backups - removing any older than 90 days.."
+    find ${DB_BACKUP_DIR} -mtime +90 -type f -delete
+  fi
+
+  # Check if a backup already exists for today
+  TODAY=$(date +"%Y-%m-%d")
+  if [ -n "$(find ${DB_BACKUP_DIR} -name "db-backup-${TODAY}__*.sqlite3" -type f)" ]; then
+    echo "A backup already exists for today (${TODAY}). Skipping backup creation."
+    return 0
+  fi
+
+  BACKUP_NAME=db-backup-$(date +"%Y-%m-%d__%H-%M-%S").sqlite3
+  cp $DB_PATH ${DB_BACKUP_DIR}/${BACKUP_NAME}
+  echo "Backed up existing DB to ${DB_BACKUP_DIR}/${BACKUP_NAME}"
+  echo "To restore this backup use $ /home/scripts/restore.sh ${DB_BACKUP_DIR}/${BACKUP_NAME}"
+else
+  echo "No DB_BACKUP_DIR env var found or DB_PATH . This should be set in env vars. No backups will be created"
+  return 0
+fi
diff --git a/medcat-trainer/webapp/scripts/create_group.py b/medcat-trainer/webapp/scripts/create_group.py
new file mode 100644
index 000000000..acfda2779
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/create_group.py
@@ -0,0 +1,14 @@
+from django.contrib.auth.models import Group, Permission
+from itertools import chain
+
+print("Checking for Default User Group")
+group, created = Group.objects.get_or_create(name='user_group')
+if created:
+    print("No Default User Group Found - Creating with Permissions")
+dataset = list(Permission.objects.filter(codename__contains='dataset').exclude(codename__contains='delete'))
+concept = list(Permission.objects.filter(codename__contains='concept'))
+project = list(Permission.objects.filter(codename__contains="projectannotateentities").exclude(codename__contains="delete"))
+permissions = chain(dataset, concept, project)
+for p in permissions:
+    group.permissions.add(p)
+print("User_group created with minimum correct permissions")
\ No newline at end of file
diff --git a/medcat-trainer/webapp/scripts/crontab b/medcat-trainer/webapp/scripts/crontab
new file mode 100644
index 000000000..242ba1528
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/crontab
@@ -0,0 +1,3 @@
+SHELL=/bin/bash
+BASH_ENV=/etc/environment
+0 22 * * * root /home/scripts/backup_db.sh > /proc/1/fd/1 2>/proc/1/fd/2
\ No newline at end of file
diff --git a/medcat-trainer/webapp/scripts/entry.sh b/medcat-trainer/webapp/scripts/entry.sh
new file mode 100644
index 000000000..600979105
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/entry.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+env >> /etc/environment
+
+# execute CMD
+echo "$@"
+exec "$@"
diff --git a/medcat-trainer/webapp/scripts/load_examples.py b/medcat-trainer/webapp/scripts/load_examples.py
new file mode 100644
index 000000000..2968039e8
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/load_examples.py
@@ -0,0 +1,150 @@
+import os
+
+import pandas as pd
+import requests
+from time import sleep
+import json
+
+def get_keycloak_access_token():
+    print('Getting Keycloak access token...')
+    keycloak_url = os.environ.get("KEYCLOAK_URL", "http://keycloak.cogstack.localhost")
+    realm = os.environ.get("KEYCLOAK_REALM", "cogstack-realm")
+    client_id = os.environ.get("KEYCLOAK_CLIENT_ID", "cogstack-medcattrainer-frontend")
+    username = os.environ.get("KEYCLOAK_USERNAME", "admin")
+    password = os.environ.get("KEYCLOAK_PASSWORD", "admin")
+
+    token_url = f"{keycloak_url}/realms/{realm}/protocol/openid-connect/token"
+
+    data = {
+        "grant_type": "password",
+        "client_id": client_id,
+        "username": username,
+        "password": password,
+        "scope": "openid profile email"
+    }
+
+    resp = requests.post(token_url, data=data)
+    resp.raise_for_status()
+    return resp.json()["access_token"]
+
+def main(port=8000,
+         model_pack_tmp_file='/home/model_pack.zip',
+         dataset_tmp_file='/home/ds.csv',
+         initial_wait=15):
+
+    print('Checking for environment variable LOAD_EXAMPLES...')
+    val = os.environ.get('LOAD_EXAMPLES')
+    if val is not None and val not in ('1', 'true', 't', 'y'):
+        print('Found Env Var LOAD_EXAMPLES is False, not loading example data, cdb, vocab and project')
+        return
+
+    print('Found Env Var LOAD_EXAMPLES, waiting 15 seconds for API to be ready...')
+    URL = f'http://localhost:{port}/api/'
+    sleep(initial_wait)
+
+    print('Checking for default projects / datasets / CDBs / Vocabs')
+    while True:
+        try:
+            # check API is available
+            if requests.get(URL).status_code == 200:
+
+                use_oidc = os.environ.get('USE_OIDC')
+                print('Checking for environment variable USE_OIDC...')
+                if use_oidc is not None and use_oidc in ('1', 'true', 't', 'y'):
+                    print('Found environment variable USE_OIDC is set to truthy value. Will load data using JWT')
+                    token = get_keycloak_access_token()
+                    headers = {
+                        'Authorization': f'Bearer {token}',
+                    }
+                else:
+                    # check API default username and pass are available.
+                    print('Getting DRF auth token ...')
+                    payload = {"username": "admin", "password": "admin"}
+                    resp = requests.post(f"{URL}api-token-auth/", json=payload)
+                    if resp.status_code != 200:
+                        break
+
+                    headers = {
+                        'Authorization': f'Token {json.loads(resp.text)["token"]}',
+                    }
+
+                # check concepts DB, vocab, datasets and projects are empty
+                resp_model_packs = requests.get(f'{URL}modelpacks/', headers=headers)
+                resp_ds = requests.get(f'{URL}datasets/', headers=headers)
+                resp_projs = requests.get(f'{URL}project-annotate-entities/', headers=headers)
+                all_resps = [resp_model_packs, resp_ds, resp_projs]
+
+                codes = [r.status_code == 200 for r in all_resps]
+
+                if all(codes) and all(len(r.text) > 0 and json.loads(r.text)['count'] == 0 for r in all_resps):
+                    print("Found No Objects. Populating Example: Model Pack, Dataset and Project...")
+                    # download example model pack and dataset
+                    print("Downloading example model pack...")
+                    model_pack_file = requests.get('https://trainer-example-data.s3.eu-north-1.amazonaws.com/medcat2_model_pack_0f66077250cc2957.zip')
+                    with open(model_pack_tmp_file, 'wb') as f:
+                        f.write(model_pack_file.content)
+
+                    print("Downloading example dataset")
+                    ds = requests.get('https://trainer-example-data.s3.eu-north-1.amazonaws.com/dr_notes.csv')
+                    with open(dataset_tmp_file, 'w') as f:
+                        f.write(ds.text)
+
+                    ds_dict = pd.read_csv(dataset_tmp_file).loc[:, ['name', 'text']].to_dict()
+                    create_example_project(URL, headers, model_pack_tmp_file, 'M-IV_NeuroNotes', ds_dict,
+                                           'Example Project - Model Pack (Diseases / Symptoms / Findings)')
+
+
+                    # clean up temp files
+                    os.remove(model_pack_tmp_file)
+                    os.remove(dataset_tmp_file)
+                    break
+                else:
+                    print('Found at least one object amongst model packs, datasets & projects. Skipping example creation')
+                    break
+        except ConnectionRefusedError:
+            print(f'Connection refused to {URL}. Retrying in 5 seconds...')
+            sleep(5)
+            continue
+        except requests.exceptions.ConnectionError:
+            print(f'Connection error to {URL}. Retrying in 5 seconds...')
+            sleep(5)
+            continue
+
+
+def create_example_project(url, headers, model_pack, ds_name, ds_dict, project_name):
+    print('Creating Model Pack / Dataset / Project in the Trainer')
+    res_model_pack_mk = requests.post(f'{url}modelpacks/', headers=headers,
+                                      data={'name': 'Example Model Pack'},
+                                      files={'model_pack': open(model_pack, 'rb')})
+    model_pack_id = json.loads(res_model_pack_mk.text)['id']
+
+    # Upload the dataset
+    payload = {
+        'dataset_name': ds_name,
+        'dataset': ds_dict,
+        'description': f'Clinical texts from MIMIC-IV'
+    }
+    resp = requests.post(f'{url}create-dataset/', json=payload, headers=headers)
+    ds_id = json.loads(resp.text)['dataset_id']
+
+    user_id = json.loads(requests.get(f'{url}users/', headers=headers).text)['results'][0]['id']
+
+    # Create the project
+    payload = {
+        'name': project_name,
+        'description': 'Example projects using example psychiatric clinical notes from '
+                       'https://www.mtsamples.com/',
+        'cuis': '',
+        'annotation_guideline_link': 'https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing',
+        'dataset': ds_id,
+        'model_pack': model_pack_id,
+        'members': [user_id]
+    }
+    requests.post(f'{url}project-annotate-entities/', json=payload, headers=headers)
+    print('Successfully created the example project')
+
+
+if __name__ == '__main__':
+    main(port=8001, initial_wait=3,
+            model_pack_tmp_file='/Users/foooo/Downloads/model_pack.zip',
+            dataset_tmp_file='/Users/fooo/Downloads/ds.csv')
diff --git a/medcat-trainer/webapp/scripts/restore_db.sh b/medcat-trainer/webapp/scripts/restore_db.sh
new file mode 100755
index 000000000..300cca91d
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/restore_db.sh
@@ -0,0 +1,26 @@
+#!/bin/sh
+
+DB_RESTORE_FILE=$1
+BACKUP_DIR=${DB_BACKUP_DIR}
+
+if [ -n "$BACKUP_DIR" ] && [ -n "$DB_PATH" ]; then
+    echo "Found backup dir location: ${BACKUP_DIR}, found db path: ${DB_PATH}"
+    if [ -z "$DB_RESTORE_FILE" ]; then
+      echo "No specific backup specified. Restoring latest backup in $BACKUP_DIR"
+      DB_RESTORE_FILE=$(ls -Art ${BACKUP_DIR}/ | tail -n 1)
+    fi
+    echo "DB file to restore: ${DB_RESTORE_FILE}"
+    read -p "Found $DB_RESTORE_FILE - y to confirm backup: " choice
+    case "$choice" in
+      y|Y )
+        cp $BACKUP_DIR/$DB_RESTORE_FILE $DB_PATH
+        echo "Restored $DB_RESTORE_FILE to $DB_PATH"
+        ;;
+      n|N )
+        echo " - exiting";;
+      * )
+        echo "Invalid choice - exiting";;
+    esac
+  else
+    echo "No BACKUP_DIR and DB_PATH found. Set to location of the backups and the location of DB sqlite3 file to be restored."
+fi
diff --git a/medcat-trainer/webapp/scripts/run-bg-process.sh b/medcat-trainer/webapp/scripts/run-bg-process.sh
new file mode 100755
index 000000000..b54d535f7
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/run-bg-process.sh
@@ -0,0 +1,13 @@
+#!/bin/sh
+
+# env vars that should only be on for app running...
+export RESUBMIT_ALL_ON_STARTUP=0
+
+# Collect static files and migrate if needed
+python /home/api/manage.py collectstatic --noinput
+python /home/api/manage.py makemigrations --noinput
+python /home/api/manage.py makemigrations api --noinput
+python /home/api/manage.py migrate --noinput
+python /home/api/manage.py migrate api --noinput
+
+python /home/api/manage.py process_tasks --log-std
diff --git a/medcat-trainer/webapp/scripts/run.sh b/medcat-trainer/webapp/scripts/run.sh
new file mode 100755
index 000000000..7197df010
--- /dev/null
+++ b/medcat-trainer/webapp/scripts/run.sh
@@ -0,0 +1,36 @@
+#!/bin/sh
+
+# run db backup script before doing anything
+/home/scripts/backup_db.sh
+
+# env vars that should only be on for app running...
+TMP_RESUBMIT_ALL_VAR=$RESUBMIT_ALL_ON_STARTUP
+export RESUBMIT_ALL_ON_STARTUP=0
+
+# Collect static files and migrate if needed
+python /home/api/manage.py collectstatic --noinput
+python /home/api/manage.py makemigrations --noinput
+python /home/api/manage.py makemigrations api --noinput
+python /home/api/manage.py migrate --noinput
+python /home/api/manage.py migrate api --noinput
+
+# create a new super user, with username and password 'admin'
+# also create a user group `user_group` that prevents users from deleting models
+echo "from django.contrib.auth import get_user_model
+User = get_user_model()
+if not User.objects.filter(username='admin').exists():
+    User.objects.create_superuser('admin', 'admin@example.com', 'admin')
+" | python manage.py shell
+
+if [ $LOAD_EXAMPLES ]; then 
+  echo "Loading examples..."
+  python /home/scripts/load_examples.py >> /dev/stdout 2>> /dev/stderr &
+fi
+
+# Creating a default user group that can manage projects and annotate but not delete
+python manage.py shell < /home/scripts/create_group.py
+
+# RESET any Env vars to original stat
+export RESUBMIT_ALL_ON_STARTUP=$TMP_RESUBMIT_ALL_VAR
+
+uwsgi --http-timeout 360s --http :8000 --master --chdir /home/api/  --module core.wsgi
diff --git a/medcat-trainer/webapp/templates/registration/password_reset_email.html b/medcat-trainer/webapp/templates/registration/password_reset_email.html
new file mode 100644
index 000000000..dda38a8a0
--- /dev/null
+++ b/medcat-trainer/webapp/templates/registration/password_reset_email.html
@@ -0,0 +1,17 @@
+{% autoescape off %}
+You’re receiving this email because you requested a password reset for your user account 
+with MedCATTrainer at {{ site_name }}.
+
+Please go to the following page and choose a new password:
+
+{{ protocol }}://{{ domain }}{% url 'password_reset_confirm' uidb64=uid token=token %}
+
+Your username, in case you've forgotten: {{ user.username }}.
+
+If clicking the link above doesn't work, please copy and paste the URL in a new browser
+window instead.
+
+Sincerely,
+
+The Cogstack Team
+{% endautoescape %}
\ No newline at end of file
diff --git a/medcat-trainer/webapp/templates/registration/password_reset_subject.txt b/medcat-trainer/webapp/templates/registration/password_reset_subject.txt
new file mode 100644
index 000000000..7147d40b5
--- /dev/null
+++ b/medcat-trainer/webapp/templates/registration/password_reset_subject.txt
@@ -0,0 +1 @@
+MedCATtrainer: Password Reset
\ No newline at end of file
diff --git a/medcat-v1/pyproject.toml b/medcat-v1/pyproject.toml
deleted file mode 100644
index 08e8468be..000000000
--- a/medcat-v1/pyproject.toml
+++ /dev/null
@@ -1,6 +0,0 @@
-[build-system]
-requires = ["setuptools>=42", "setuptools_scm[toml]>=6.2", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.setuptools_scm]
-root = "../"  # adjust this relative to your package
\ No newline at end of file
diff --git a/medcat-v2-tutorials/README.md b/medcat-v2-tutorials/README.md
index 45bb02914..463428937 100644
--- a/medcat-v2-tutorials/README.md
+++ b/medcat-v2-tutorials/README.md
@@ -1,4 +1,6 @@
-# MedCATv2tutorials
+# MedCAT Tutorials (version 2)
+
+The MedCAT Tutorials privde an interactive learning path for using MedCAT
 
 ## Introductory tutorials
 
@@ -6,25 +8,25 @@
 
 | Part | Title                                                                       |
 | ---- |-----------------------------------------------------------------------------|
-| 1.   |  [Migrate a v1 model to v2](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb)                                    |
+| 1.   |  [Migrate a v1 model to v2](notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb)                                    |
 
 ### Basic (regex-tokenizer) tutorials
 
 | Part | Title                                                                       |
 | ---- |-----------------------------------------------------------------------------|
-| 1.   |  [Building a Concept Database and a Vocab](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/introductory/basic/1._Build_a_Concept_Database_and_a_Vocabulary.ipynb)                                    |
-| 2.   | [Unsupervised training on model](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/introductory/basic/2._Unsupervised_training_on_model.ipynb) |
-| 3.   | [Supervised training on model](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/introductory/basic/3._Supervised_training_on_model.ipynb) |
+| 1.   |  [Building a Concept Database and a Vocab](notebooks/introductory/basic/1._Build_a_Concept_Database_and_a_Vocabulary.ipynb)                                    |
+| 2.   | [Unsupervised training on model](notebooks/introductory/basic/2._Unsupervised_training_on_model.ipynb) |
+| 3.   | [Supervised training on model](notebooks/introductory/basic/3._Supervised_training_on_model.ipynb) |
 
 ### MetaCAT (meta-annotation) tutorials
 
 | Part | Title                                                                       |
 | ---- |-----------------------------------------------------------------------------|
-| 1.   |  [Add a MetaCAT to a Model](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb)                                    |
+| 1.   |  [Add a MetaCAT to a Model](notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb)                                    |
 
 ## Advanced tutorials
 
 | Part | Title                                                                       |
 | ---- |-----------------------------------------------------------------------------|
-| 1.   |  [Creating and using a custom tokenizer](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/advanced/1._Creating_and_using_a_custom_tokenizer.ipynb)                               |
-| 2.   |  [Create and use component](https://github.com/CogStack/MedCATv2tutorials/blob/main/notebooks/advanced/2._Create_and_use_component.ipynb)                                    |
+| 1.   |  [Creating and using a custom tokenizer](notebooks/advanced/1._Creating_and_using_a_custom_tokenizer.ipynb)                               |
+| 2.   |  [Create and use component](notebooks/advanced/2._Create_and_use_component.ipynb)                                    |
diff --git a/medcat-v2-tutorials/notebooks/advanced/2._Create_and_use_component.ipynb b/medcat-v2-tutorials/notebooks/advanced/2._Create_and_use_component.ipynb
index 7ff107987..24a2bb7c3 100644
--- a/medcat-v2-tutorials/notebooks/advanced/2._Create_and_use_component.ipynb
+++ b/medcat-v2-tutorials/notebooks/advanced/2._Create_and_use_component.ipynb
@@ -71,13 +71,6 @@
     "        return cls(tokenizer, cdb)\n",
     "\n",
     "    # NOTE: NEED TO IMPLEMENT\n",
-    "    # the keyword arguments to the init method\n",
-    "    @classmethod\n",
-    "    def get_init_kwargs(cls, tokenizer: BaseTokenizer, cdb: CDB, vocab: Vocab,\n",
-    "                        model_load_path: Optional[str]) -> dict[str, Any]:\n",
-    "        return {}\n",
-    "\n",
-    "    # NOTE: NEED TO IMPLEMENT\n",
     "    # you can specify whatever init args as long as you define them above\n",
     "    def __init__(self, tokenizer: BaseTokenizer, cdb: CDB):\n",
     "        self.tokenizer = tokenizer\n",
diff --git a/medcat-v2-tutorials/notebooks/introductory/basic/3._Supervised_training_on_model.ipynb b/medcat-v2-tutorials/notebooks/introductory/basic/3._Supervised_training_on_model.ipynb
index 0df598396..886f12670 100644
--- a/medcat-v2-tutorials/notebooks/introductory/basic/3._Supervised_training_on_model.ipynb
+++ b/medcat-v2-tutorials/notebooks/introductory/basic/3._Supervised_training_on_model.ipynb
@@ -1,252 +1,252 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Supervised training on a model\n",
-    "\n",
-    "Not everything can be learned in a self-supervised manner.\n",
-    "As a trivial exmaple, if there were two concepts - both only known by the same name, the unsupervised training approach won't be able to distinguish between them.\n",
-    "\n",
-    "For instance `abscess` could regfer either to a body structure (`44132006`) or a clinical finding (`128477000`) depending on conext.\n",
-    "And if there's no unique name that refers to either term, they cannot be disambiguated using only self-supervised methods.\n",
-    "In reality, these terms can also be known by names that are distinct from oneanother (e.g `abscess morphology` for `44132006` and `abscess disorder` for `128477000`).\n",
-    "But even this would require training data that actually uses these distinct terms.\n",
-    "\n",
-    "In any case, supervised training also has the added benefit of having a humans curate the names and linked concepts.\n",
-    "While this may be achieved in many different ways, when using MedCAT, we like to use a tool called [MedCATtrainer](https://github.com/CogStack/MedCATtrainer).\n",
-    "\n",
-    "First things first - we load the existing model."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "from medcat.cat import CAT\n",
-    "\n",
-    "model_path = os.path.join(\"models\", \"unsup_trained_model.zip\")\n",
-    "\n",
-    "cat = CAT.load_model_pack(model_path)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now that we have the model, we add the two new  concepts.\n",
-    "We employ the help of the `CDBMaker` again.\n",
-    "Though this is not strictly speaking necessary this time around since the `CAT` instance has created its own tokenizer anyway."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DF:\n",
-      "       name        cui\n",
-      "0  abscess   44132006\n",
-      "1  abscess  128477000\n",
-      "CUIs: [('73211009', 'Diabetes Mellitus Diagnosed'), ('396230008', 'Wagner Unverricht Syndrome'), ('44132006', 'Abscess'), ('128477000', 'Abscess')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "from medcat.model_creation.cdb_maker import CDBMaker\n",
-    "\n",
-    "cdb_maker = CDBMaker(cat.config, cat.cdb)\n",
-    "\n",
-    "df = pd.DataFrame({\"name\": 'abscess', \"cui\": ['44132006', '128477000']})\n",
-    "print(\"DF:\\n\", df)\n",
-    "\n",
-    "cdb_maker.prepare_csvs([df])\n",
-    "\n",
-    "print(\"CUIs:\", [(cui, cat.cdb.get_name(cui)) for cui in cat.cdb.cui2info.keys()])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we have the concepts that we're trying to disambiguate.\n",
-    "All we need now is a dataset where a human has gone through the mentions and annotated them for the correct type.\n",
-    "And then we can use that for supervised training.\n",
-    "\n",
-    "First, we will verify that we cannot detect abscess before training."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 : {}\n",
-      "1 : {}\n"
-     ]
-    }
-   ],
-   "source": [
-    "abscess_text_morph = \"\"\"Histopathology reveals a well-encapsulated abscess with central necrosis and neutrophilic infiltration.\"\"\"\n",
-    "abscess_text_disorder = \"\"\"An abscess is a disorder, which is a clinical condition characterized by the formation of a painful and inflamed mass containing purulent material\"\"\"\n",
-    "\n",
-    "# for reuse later\n",
-    "def find_texts():\n",
-    "    for text_num, text in enumerate([abscess_text_morph, abscess_text_disorder]):\n",
-    "        ents = cat.get_entities(text)['entities']\n",
-    "        print(text_num, \":\", ents)\n",
-    "find_texts()\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now that it's clear that we can't, we're sure to need some supervised training.\n",
-    "Let's then do that."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Epoch:   0%|          | 0/1 [00:00<?, ?it/s]"
-     ]
+    "cells": [
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "# Supervised training on a model\n",
+                "\n",
+                "Not everything can be learned in a self-supervised manner.\n",
+                "As a trivial exmaple, if there were two concepts - both only known by the same name, the unsupervised training approach won't be able to distinguish between them.\n",
+                "\n",
+                "For instance `abscess` could regfer either to a body structure (`44132006`) or a clinical finding (`128477000`) depending on conext.\n",
+                "And if there's no unique name that refers to either term, they cannot be disambiguated using only self-supervised methods.\n",
+                "In reality, these terms can also be known by names that are distinct from oneanother (e.g `abscess morphology` for `44132006` and `abscess disorder` for `128477000`).\n",
+                "But even this would require training data that actually uses these distinct terms.\n",
+                "\n",
+                "In any case, supervised training also has the added benefit of having a humans curate the names and linked concepts.\n",
+                "While this may be achieved in many different ways, when using MedCAT, we like to use a tool called [MedCATtrainer](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer).\n",
+                "\n",
+                "First things first - we load the existing model."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "import os\n",
+                "\n",
+                "from medcat.cat import CAT\n",
+                "\n",
+                "model_path = os.path.join(\"models\", \"unsup_trained_model.zip\")\n",
+                "\n",
+                "cat = CAT.load_model_pack(model_path)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "Now that we have the model, we add the two new  concepts.\n",
+                "We employ the help of the `CDBMaker` again.\n",
+                "Though this is not strictly speaking necessary this time around since the `CAT` instance has created its own tokenizer anyway."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "DF:\n",
+                        "       name        cui\n",
+                        "0  abscess   44132006\n",
+                        "1  abscess  128477000\n",
+                        "CUIs: [('73211009', 'Diabetes Mellitus Diagnosed'), ('396230008', 'Wagner Unverricht Syndrome'), ('44132006', 'Abscess'), ('128477000', 'Abscess')]\n"
+                    ]
+                }
+            ],
+            "source": [
+                "import pandas as pd\n",
+                "from medcat.model_creation.cdb_maker import CDBMaker\n",
+                "\n",
+                "cdb_maker = CDBMaker(cat.config, cat.cdb)\n",
+                "\n",
+                "df = pd.DataFrame({\"name\": 'abscess', \"cui\": ['44132006', '128477000']})\n",
+                "print(\"DF:\\n\", df)\n",
+                "\n",
+                "cdb_maker.prepare_csvs([df])\n",
+                "\n",
+                "print(\"CUIs:\", [(cui, cat.cdb.get_name(cui)) for cui in cat.cdb.cui2info.keys()])"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "Now we have the concepts that we're trying to disambiguate.\n",
+                "All we need now is a dataset where a human has gone through the mentions and annotated them for the correct type.\n",
+                "And then we can use that for supervised training.\n",
+                "\n",
+                "First, we will verify that we cannot detect abscess before training."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 3,
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "0 : {}\n",
+                        "1 : {}\n"
+                    ]
+                }
+            ],
+            "source": [
+                "abscess_text_morph = \"\"\"Histopathology reveals a well-encapsulated abscess with central necrosis and neutrophilic infiltration.\"\"\"\n",
+                "abscess_text_disorder = \"\"\"An abscess is a disorder, which is a clinical condition characterized by the formation of a painful and inflamed mass containing purulent material\"\"\"\n",
+                "\n",
+                "# for reuse later\n",
+                "def find_texts():\n",
+                "    for text_num, text in enumerate([abscess_text_morph, abscess_text_disorder]):\n",
+                "        ents = cat.get_entities(text)['entities']\n",
+                "        print(text_num, \":\", ents)\n",
+                "find_texts()\n"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "Now that it's clear that we can't, we're sure to need some supervised training.\n",
+                "Let's then do that."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 4,
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stderr",
+                    "output_type": "stream",
+                    "text": [
+                        "Epoch:   0%|          | 0/1 [00:00<?, ?it/s]"
+                    ]
+                },
+                {
+                    "name": "stderr",
+                    "output_type": "stream",
+                    "text": [
+                        "\n",
+                        "\u001b[A\n",
+                        "                                            "
+                    ]
+                },
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "Trained concepts: [('73211009', 'Diabetes Mellitus Diagnosed', 2), ('396230008', 'Wagner Unverricht Syndrome', 1), ('44132006', 'Abscess', 2), ('128477000', 'Abscesses', 2)]\n"
+                    ]
+                },
+                {
+                    "name": "stderr",
+                    "output_type": "stream",
+                    "text": [
+                        "\r"
+                    ]
+                }
+            ],
+            "source": [
+                "import json\n",
+                "# NOTE: The instances within the text were annotated by a layman and may not be clinically accurate.\n",
+                "#       The dataset in question serves only as an example for the sake of the tutorial.\n",
+                "mct_export_path = os.path.join(\"in_data\", \"MCT_export_abscess.json\")\n",
+                "\n",
+                "with open(mct_export_path) as f:\n",
+                "    mct_export = json.load(f)\n",
+                "\n",
+                "cat.trainer.train_supervised_raw(mct_export, use_filters=True)\n",
+                "\n",
+                "print(\"Trained concepts:\",\n",
+                "      [(ci['cui'], cat.cdb.get_name(ci['cui']), ci['count_train']) for ci in cat.cdb.cui2info.values() if ci['count_train']])"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "What about now? Can we differentiate between the two concepts in text?"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 5,
+            "metadata": {},
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "0 : {0: {'pretty_name': 'Abscess', 'cui': '44132006', 'type_ids': [], 'source_value': 'abscess', 'detected_name': 'abscess', 'acc': 0.99, 'context_similarity': 0.99, 'start': 43, 'end': 50, 'id': 0, 'meta_anns': {}, 'context_left': [], 'context_center': [], 'context_right': []}}\n",
+                        "1 : {0: {'pretty_name': 'Abscesses', 'cui': '128477000', 'type_ids': [], 'source_value': 'abscess', 'detected_name': 'abscess', 'acc': np.float64(0.4624653188952008), 'context_similarity': np.float64(0.4624653188952008), 'start': 3, 'end': 10, 'id': 0, 'meta_anns': {}, 'context_left': [], 'context_center': [], 'context_right': []}}\n"
+                    ]
+                }
+            ],
+            "source": [
+                "find_texts()"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## Save the changed model\n",
+                "\n",
+                "We have now fine-tuned the model.\n",
+                "So we may want to save its state again."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [
+                {
+                    "data": {
+                        "text/plain": [
+                            "'models/sup_trained_model'"
+                        ]
+                    },
+                    "execution_count": 6,
+                    "metadata": {},
+                    "output_type": "execute_result"
+                }
+            ],
+            "source": [
+                "new_model_folder, new_model_name = \"models\", \"sup_trained_model\"\n",
+                "cat.save_model_pack(new_model_folder, pack_name=new_model_name, add_hash_to_pack_name=False)\n"
+            ]
+        }
+    ],
+    "metadata": {
+        "kernelspec": {
+            "display_name": ".venv",
+            "language": "python",
+            "name": "python3"
+        },
+        "language_info": {
+            "codemirror_mode": {
+                "name": "ipython",
+                "version": 3
+            },
+            "file_extension": ".py",
+            "mimetype": "text/x-python",
+            "name": "python",
+            "nbconvert_exporter": "python",
+            "pygments_lexer": "ipython3",
+            "version": "3.10.13"
+        }
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\u001b[A\n",
-      "                                            "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Trained concepts: [('73211009', 'Diabetes Mellitus Diagnosed', 2), ('396230008', 'Wagner Unverricht Syndrome', 1), ('44132006', 'Abscess', 2), ('128477000', 'Abscesses', 2)]\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r"
-     ]
-    }
-   ],
-   "source": [
-    "import json\n",
-    "# NOTE: The instances within the text were annotated by a layman and may not be clinically accurate.\n",
-    "#       The dataset in question serves only as an example for the sake of the tutorial.\n",
-    "mct_export_path = os.path.join(\"in_data\", \"MCT_export_abscess.json\")\n",
-    "\n",
-    "with open(mct_export_path) as f:\n",
-    "    mct_export = json.load(f)\n",
-    "\n",
-    "cat.trainer.train_supervised_raw(mct_export, use_filters=True)\n",
-    "\n",
-    "print(\"Trained concepts:\",\n",
-    "      [(ci['cui'], cat.cdb.get_name(ci['cui']), ci['count_train']) for ci in cat.cdb.cui2info.values() if ci['count_train']])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "What about now? Can we differentiate between the two concepts in text?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 : {0: {'pretty_name': 'Abscess', 'cui': '44132006', 'type_ids': [], 'source_value': 'abscess', 'detected_name': 'abscess', 'acc': 0.99, 'context_similarity': 0.99, 'start': 43, 'end': 50, 'id': 0, 'meta_anns': {}, 'context_left': [], 'context_center': [], 'context_right': []}}\n",
-      "1 : {0: {'pretty_name': 'Abscesses', 'cui': '128477000', 'type_ids': [], 'source_value': 'abscess', 'detected_name': 'abscess', 'acc': np.float64(0.4624653188952008), 'context_similarity': np.float64(0.4624653188952008), 'start': 3, 'end': 10, 'id': 0, 'meta_anns': {}, 'context_left': [], 'context_center': [], 'context_right': []}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "find_texts()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Save the changed model\n",
-    "\n",
-    "We have now fine-tuned the model.\n",
-    "So we may want to save its state again."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'models/sup_trained_model'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_model_folder, new_model_name = \"models\", \"sup_trained_model\"\n",
-    "cat.save_model_pack(new_model_folder, pack_name=new_model_name, add_hash_to_pack_name=False)\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
+    "nbformat": 4,
+    "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/medcat-v2-tutorials/notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb b/medcat-v2-tutorials/notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb
index aeeb4f5a1..c15614090 100644
--- a/medcat-v2-tutorials/notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb
+++ b/medcat-v2-tutorials/notebooks/introductory/meta/1._Add_a_MetaCat_to_a_Model.ipynb
@@ -76,7 +76,7 @@
     }
    ],
    "source": [
-    "! pip install \"medcat[meta-cat] @ git+https://github.com/CogStack/cogstack-nlp@medcat/v0.11.2#subdirectory=medcat-v2\" # NOTE: VERSION-STRING"
+    "! pip install medcat[meta-cat]~=2.2.0 # NOTE: VERSION-STRING"
    ]
   },
   {
@@ -156,7 +156,7 @@
     "# create MetaCAT\n",
     "# TODO: remove need for call to protected attribute\n",
     "mc = MetaCATAddon.create_new(\n",
-    "    config, cat._pipeline.tokenizer,\n",
+    "    config, cat.pipe.tokenizer,\n",
     "    tknzer_preprocessor=lambda tknzer: tknzer.hf_tokenizers.train(data_path))\n",
     "\n",
     "# add MetaCAT\n",
@@ -166,7 +166,7 @@
     "else:\n",
     "    cat.add_addon(mc)\n",
     "print(\"Addon configs:\", cat.config.components.addons)\n",
-    "print(\"Addons\", cat._pipeline._addons)"
+    "print(\"Addons\", cat.get_addons())"
    ]
   },
   {
@@ -330,7 +330,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": ".venv_v2_tut",
    "language": "python",
    "name": "python3"
   },
@@ -344,7 +344,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.12"
   }
  },
  "nbformat": 4,
diff --git a/medcat-v2-tutorials/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb b/medcat-v2-tutorials/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb
index 83fca7021..e562e590f 100644
--- a/medcat-v2-tutorials/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb
+++ b/medcat-v2-tutorials/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb
@@ -131,7 +131,7 @@
     }
    ],
    "source": [
-    "! pip install \"medcat[meta-cat,spacy,deid] @ git+https://github.com/CogStack/cogstack-nlp@medcat/v0.11.2#subdirectory=medcat-v2\""
+    "! pip install medcat[meta-cat,spacy,deid]~=2.2.0"
    ]
   },
   {
diff --git a/medcat-v2-tutorials/notebooks/introductory/relcat/1._Supervised_Training_Relation_Extraction.ipynb b/medcat-v2-tutorials/notebooks/introductory/relcat/1._Supervised_Training_Relation_Extraction.ipynb
index 25933c7ac..e2194b09b 100644
--- a/medcat-v2-tutorials/notebooks/introductory/relcat/1._Supervised_Training_Relation_Extraction.ipynb
+++ b/medcat-v2-tutorials/notebooks/introductory/relcat/1._Supervised_Training_Relation_Extraction.ipynb
@@ -101,7 +101,7 @@
    ],
    "source": [
     "# Install medcat\n",
-    "! pip install \"medcat[spacy,rel-cat,meta-cat] @ git+https://github.com/CogStack/cogstack-nlp@medcat/v0.11.2#subdirectory=medcat-v2\" # NOTE: VERSION-STRING"
+    "! pip install \"medcat[spacy,rel-cat,meta-cat]~=2.1.0\" # NOTE: VERSION-STRING"
    ]
   },
   {
diff --git a/medcat-v2-tutorials/notebooks/introductory/relcat/2._Infering_relations_from_annotations_with_Relation_toolkit.ipynb b/medcat-v2-tutorials/notebooks/introductory/relcat/2._Infering_relations_from_annotations_with_Relation_toolkit.ipynb
index 43d8ae521..121f36111 100644
--- a/medcat-v2-tutorials/notebooks/introductory/relcat/2._Infering_relations_from_annotations_with_Relation_toolkit.ipynb
+++ b/medcat-v2-tutorials/notebooks/introductory/relcat/2._Infering_relations_from_annotations_with_Relation_toolkit.ipynb
@@ -92,7 +92,7 @@
    ],
    "source": [
     "# Install medcat\n",
-    "! pip install \"medcat[spacy,rel-cat] @ git+https://github.com/CogStack/cogstack-nlp@medcat/v0.11.2#subdirectory=medcat-v2\" # NOTE: VERSION-STRING"
+    "! pip install \"medcat[spacy,rel-cat]~=2.1.0\" # NOTE: VERSION-STRING"
    ]
   },
   {
diff --git a/medcat-v2-tutorials/requirements.txt b/medcat-v2-tutorials/requirements.txt
index 868d6b547..db41cd9d4 100644
--- a/medcat-v2-tutorials/requirements.txt
+++ b/medcat-v2-tutorials/requirements.txt
@@ -1,4 +1,4 @@
-medcat @ git+https://github.com/CogStack/cogstack-nlp@medcat/v0.11.2#subdirectory=medcat-v2
+medcat~=2.2.0
 ipykernel
 pytest-xdist~=3.6.0
 nbmake<1.6
diff --git a/medcat-v2/.release/prepare_patch_release.sh b/medcat-v2/.release/prepare_patch_release.sh
index 1d37def9b..f7a28460f 100644
--- a/medcat-v2/.release/prepare_patch_release.sh
+++ b/medcat-v2/.release/prepare_patch_release.sh
@@ -52,10 +52,18 @@ VERSION_TAG="medcat/v$VERSION"
 VERSION_MAJOR_MINOR="${VERSION%.*}"
 # work with alpha/beta/rc
 VERSION_PATCH="$(echo "$VERSION" | sed -E 's/^[0-9]+\.[0-9]+\.([0-9]+).*/\1/')"
+VERSION_PATCH_AND_PRERELEASE="${VERSION##*.}"
 RELEASE_BRANCH="medcat/v$VERSION_MAJOR_MINOR"
 
 # some prerequisites
-[[ "$VERSION_PATCH" == "0" ]] && error_exit "Patch version must not be 0."
+if [[ "$VERSION_PATCH" == "$VERSION_PATCH_AND_PRERELEASE" ]]; then
+    if [[ "$VERSION_PATCH" == "0" ]]; then
+        # look for any prerelease tags on this major.minor
+        if ! git tag -l "medcat/v${VERSION_MAJOR_MINOR}.0[a-z]*" | grep -q .; then
+            error_exit "Patch version must not be 0 unless a prerelease (alpha/beta/rc) already exists."
+        fi
+    fi
+fi
 
 run_or_echo git fetch origin
 
diff --git a/medcat-v2/README.md b/medcat-v2/README.md
index 1b752e352..9c4fd3f31 100644
--- a/medcat-v2/README.md
+++ b/medcat-v2/README.md
@@ -1,29 +1,59 @@
 # Medical  <img src="https://github.com/CogStack/cogstack-nlp/blob/main/media/cat-logo.png?raw=true" width=45> oncept Annotation Tool (version 2)
 
+MedCAT can be used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT, UMLS, or HPO (and potentially other ontologies).
+Original paper for v1 on [arXiv](https://arxiv.org/abs/2010.01165). 
+
 **There's a number of breaking changes in MedCAT v2 compared to v1.**
-Details are outlined [here](docs/breaking_changes.md).
+When moving from v1 to v2, please refer to the [migration guide](docs/migration_guide_v2.md).
+Details on breaking are outlined [here](docs/breaking_changes.md).
 
 [![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)
 [![Documentation Status](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)
-[![Latest release](https://img.shields.io/github/v/release/CogStack/MedCAT2)](https://github.com/CogStack/MedCAT2/releases/latest)
+[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
 <!-- [![pypi Version](https://img.shields.io/pypi/v/medcat.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/medcat/) -->
 
-MedCAT can be used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT, UMLS, or HPO (and potentially other ontologies).
-Original paper for v1 on [arXiv](https://arxiv.org/abs/2010.01165). 
-
-**Official Docs [here](https://medcat2.readthedocs.io/en/latest/)**
+**Official Docs [here](https://cogstack-nlp.readthedocs.io/)**
 
 **Discussion Forum [discourse](https://discourse.cogstack.org/)**
 
 ## Available Models
 
-As MedCAT v2 is still in Beta, we do not currently have any models publically available.
-You can still use models for v1, however (see the [README](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/README.md) there).
-If you wish you can also convert the v1 models into the v2 format (see tutorial (TODO + link)).
+We have 2 public v2 models available:
+1) SnomedCT UK Clinical edition 39.0 (Oct 2024) and UK Drug Extension 39.0 (July 2024) based model enriched with UMLS 2024AA; trained only on MIMIC-IV
+2) SnomedCT UK Clinical edition 40.2 (June 2025) and UK Drug Extension 40.3 (July 2024) based model enriched with UMLS 2024AA; trained only on MIMIC-IV
+
+We also have a number of MedCAT v1 models available:
+1) UMLS Small (A modelpack containing a subset of UMLS (disorders, symptoms, medications...). Trained on MIMIC-III)
+2) SNOMED International (Full SNOMED modelpack trained on MIMIC-III)
+3) UMLS Dutch v1.10 (a modelpack provided by UMC Utrecht containing [UMLS entities with Dutch names](https://github.com/umcu/dutch-umls) trained on Dutch medical wikipedia articles and a negation detection model [repository](https://github.com/umcu/negation-detection/)/[paper](https://doi.org/10.48550/arxiv.2209.00470) trained on EMC Dutch Clinical Corpus).
+4) UMLS Full. >4MM concepts trained self-supervised on MIMIC-III. v2022AA of UMLS.
+5) The same 2024 based model as above in v1 format
+6) The same 2025 based model as above in v1 format
+
+To download any of these models, please [follow this link](https://uts.nlm.nih.gov/uts/login?service=https://medcat.sites.er.kcl.ac.uk/auth-callback) (or [this link for API key based download](https://medcat.sites.er.kcl.ac.uk/auth-callback-api)) and sign into your NIH profile / UMLS license. You will then be redirected to the MedCAT model download form. Please complete this form and you will be provided a download link.
+
+While we encourage you use MedCAT v2 and the models in that native format, if you download an older version MedCAT v2 will be able to load it and covnert it to the format it knows. However, the loading process will be considerably longerin those cases.
+
+If you wish you can also convert the v1 models into the v2 format (see [tutorial](../medcat-v2-tutorials/notebooks/introductory/migration/1._Migrate_v1_model_to_v2.ipynb)).
+
+```python
+from medcat.utils.legacy import legacy_converter
+from medcat.storage.serialisers import AvailableSerialisers
+old_model = '<path to old v1 model>'
+new_model_dir = '<dir to place new model in>'
+legacy_converter.do_conversion(old_model_path, new_model_dir, AvailableSerialisers.dill)
+```
+OR
+```bash
+model_path = "models/medcat1_model_pack.zip"
+new_model_folder = "models"  # file in this folder
+! python -m  medcat.utils.legacy.legacy_converter $model_path $new_model_folder --verbose
+```
 
 ## News
-- **MedCAT v2 beta** \[1. April 2025\] MedCATv2 beta 0.1.5 was released 1. April 2025.
-<!-- - **Paper** van Es, B., Reteig, L.C., Tan, S.C. et al. [Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods](https://doi.org/10.1186/s12859-022-05130-x). BMC Bioinformatics 24, 10 (2023). 
+- **New public 2024 and 2025** Snomed models were uploaded and made available 7. October 2025.
+- **MedCAT 2.0.0**  was released 18. August 2025.
+<!-- - **Paper** van Es, B., Reteig, L.C., Tan, S.C. et al. [Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods](https://doi.org/10.1186/s12859-022-05130-x). BMC Bioinformatics 24, 10 (2023).
 - **New tool in the Cogstack ecosystem \[19. December 2022\]** [Foresight -- Deep Generative Modelling of Patient Timelines using Electronic Health Records](https://arxiv.org/abs/2212.08072)
 - **New Paper using MedCAT \[21. October 2022\]**: [A New Public Corpus for Clinical Section Identification: MedSecId.](https://aclanthology.org/2022.coling-1.326.pdf)
 - **Major Change to the Permissions of Use \[4. August 2022\]** MedCAT now uses the [Elastic License 2.0](https://github.com/CogStack/MedCAT/pull/271/commits/c9f4e86116ec751a97c618c97dadaa23e1feb6bc). For further information please click [here.](https://www.elastic.co/licensing/elastic-license)
@@ -41,45 +71,45 @@ If you wish you can also convert the v1 models into the v2 format (see tutorial
 
 ## Installation
 
-Currently MedCAT v2 is in Beta.
-As such, we're not yet pushing to PyPI.
-And because of that the current installation command for (only) core MedCAT v2 is:
+MedCAT v2 has its first full release
 ```
-pip install "medcat @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.10.0#subdirectory=medcat-v2"
+pip install medcat
 ```
 Do note that **this installs only the core MedCAT v2**.
 **It does not necessary dependencies for `spacy`-based tokenizing or MetaCATs or DeID**.
 However, all of those are supported as well.
 You can install them as follows:
 ```
-pip install "medcat[spacy] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.10.0#subdirectory=medcat-v2"  # for spacy-based tokenizer
-pip install "medcat[meta-cat] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.10.0#subdirectory=medcat-v2"  # for MetaCAT
-pip install "medcat[deid] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.10.0#subdirectory=medcat-v2"  # for DeID models
-pip install "medcat[spacy,meta-cat,deid,rel-cat,dict-ner] @ git+https://github.com/CogStack/cogstack-nlp.git@refs/tags/medcat/v0.10.0#subdirectory=medcat-v2"  # for all of the sbove
+pip install "medcat[spacy]" # for spacy-based tokenizer
+pip install "medcat[meta-cat]"  # for MetaCAT
+pip install "medcat[deid]"  # for DeID models
+pip install "medcat[spacy,meta-cat,deid,rel-cat,dict-ner]"  # for all of the above
 ```
 
-PS:
-For in the above example, we're installing the MedCAT v2 BETA version of `v0.8.0`.
-The README is unlikely to change after every new release.
-If another version is available / required, substitute the version tag as appropriate.
+### Version / update checking
 
-<!-- 
-To install the latest version of MedCAT run the following command:
-```
-pip install medcat
-```
-Normal installations of MedCAT will install torch-gpu and all relevant dependancies (such as CUDA). This can require as much as 10 GB more disk space, which isn't required for CPU only usage.
+MedCAT now has the ability to check for newer versions of itself on PyPI (or a local mirror of it).
+This is so users don't get left behind too far with older versions of our software.
+This is configurable by evnironmental variables so that sys admins (e.g for JupyterHub) can specify the settings they wish.
+Version checks are done once a week and the results are cached.
+
+Below is a table of the environmental variables that govern the version checking and their defaults.
+
+| Variable | Default | Description |
+|-----------|----------|-------------|
+| **`MEDCAT_DISABLE_VERSION_CHECK`** | *(unset)* | When set to `true`, `yes` or `disable`, disables the version update check entirely. Useful for CI environments, offline setups, or deployments where external network access is restricted. |
+| **`MEDCAT_PYPI_URL`** | `https://pypi.org/pypi` | Base URL used to query package metadata. Can be changed to a PyPI mirror or internal repository that exposes the `/pypi/{pkg}/json` API. |
+| **`MEDCAT_MINOR_UPDATE_THRESHOLD`** | `3` | Number of newer **minor** versions (e.g. `1.4.x`, `1.5.x`) that must exist before MedCAT emits a “newer version available” log message. |
+| **`MEDCAT_PATCH_UPDATE_THRESHOLD`** | `3` | Number of newer **patch** versions (e.g. `1.3.1`, `1.3.2`, `1.3.3`) on the same minor line required before emitting an informational update message. |
+| **`MEDCAT_VERSION_UPDATE_LOG_LEVEL`** | `INFO` | Logging level used when reporting available newer versions (minor/patch thresholds). Accepts any valid `logging` level string (`DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`). |
+| **`MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL`** | `WARNING` | Logging level used when reporting that the current version has been **yanked** on PyPI. Accepts the same values as above. |
 
-To install the latest version of MedCAT without torch GPU support run the following command:
-```
-pip install medcat --extra_index_url https://download.pytorch.org/whl/cpu/
-``` -->
 ## Demo
 
-The MedCAT v2 demo web app is available [here](https://medcatv2.sites.er.kcl.ac.uk/).
+The MedCAT v2 demo web app is available [here](https://medcat.sites.er.kcl.ac.uk/).
 
 ## Tutorials
-A guide on how to use MedCAT v2 is available at [MedCATv2 Tutorials](https://github.com/CogStack/MedCATv2tutorials/).
+A guide on how to use MedCAT v2 is available at [MedCATv2 Tutorials](../medcat-v2-tutorials).
 However, the tutorials are a bit of a work in progress at this point in time.
 
 
diff --git a/medcat-v2/docs/conf.py b/medcat-v2/docs/conf.py
index 19c96c0ea..baba5db52 100644
--- a/medcat-v2/docs/conf.py
+++ b/medcat-v2/docs/conf.py
@@ -23,7 +23,14 @@
 author = 'CogStack Org'
 
 # The full version, including alpha/beta/rc tags
-release = ':latest'  # where is the version retrievable from?
+# apprently shoudl be able ot read from env
+release = os.getenv("READTHEDOCS_VERSION", ":latest")
+
+# Simplify medcat-v2.3.1rc2 → v2.3.1rc2
+# NOTE: in case of tag based releases, the environmental variable
+#       should contain the sanitised tag as the slug, so the / is
+#       replaced with the -
+release = release.removeprefix("medcat-")
 
 
 # -- General configuration ---------------------------------------------------
diff --git a/medcat-v2/docs/main.md b/medcat-v2/docs/main.md
index 54e638754..f76b7c15e 100644
--- a/medcat-v2/docs/main.md
+++ b/medcat-v2/docs/main.md
@@ -4,13 +4,13 @@
 Details are outlined [here](breaking_changes.md).
 
 [![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml)
-[![Documentation Status](https://readthedocs.org/projects/medcat2/badge/?version=latest)](https://medcat2.readthedocs.io/en/latest/?badge=latest)
-[![Latest release](https://img.shields.io/github/v/release/CogStack/MedCAT2)](https://github.com/CogStack/MedCAT2/releases/latest)
+[![Documentation Status](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)
+[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
 [![pypi Version](https://img.shields.io/pypi/v/medcat.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/medcat/)
 
 MedCAT(*v2*) can be used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT and UMLS. Paper on [arXiv](https://arxiv.org/abs/2010.01165).
 
-**Official Docs [here](https://medcat2.readthedocs.io/en/latest/)**
+**Official Docs [here](https://cogstack-nlp.readthedocs.io/)**
 
 **Discussion Forum [here](https://discourse.cogstack.org/)**
 
@@ -34,20 +34,25 @@ MedCAT(*v2*) can be used to extract information from Electronic Health Records (
 A demo application is available [here](https://medcatv2.rosalind.kcl.ac.uk).
 
 ## Tutorials
-Some guides on how to use MedCAT v2 are available at [MedCAT Tutorials](https://github.com/CogStack/MedCATv2tutorials).
+Some guides on how to use MedCAT v2 are available at [MedCAT Tutorials](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2-tutorials).
 
 ## Related Projects
 - [MedCAT](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/) - the original version of MedCAT that this v2 is based one.
-- [MedCATtrainer](https://github.com/CogStack/MedCATtrainer/) - an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
+- [MedCATtrainer](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer/) - an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
 - [MedCATservice](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-service/) - implements the MedCAT NLP application as a service behind a REST API.
 
-## Install using PIP (Requires Python 3.9+)
+## Install using PIP (Requires Python 3.10+)
 Installation instructions are to follow upon a release of this version on PyPI.
 Though installation is likely to be simply `pip install "medcat>=2.0"` at that time.
-<!-- 0. Upgrade pip `pip install --upgrade pip`
-1. Install MedCAT
-- For macOS/linux: `pip install --upgrade medcat`
-- For Windows (see [PyTorch documentation](https://pytorch.org/get-started/previous-versions/)): `pip install --upgrade medcat -f https://download.pytorch.org/whl/torch_stable.html` -->
+Currently the installation for the 2.0 release is simply:
+```
+pip install medcat
+```
+Though note the extras you might need (e.g `spacy`, `meta-cat`, `rel-cat`, `deid`).
+If you need them, they need to be specified in brackets, e.g:
+```
+pip install "medcat[spacy,meta-cat,rel-cat,deid]"
+```
 
 2. Quickstart (MedCAT v2+):
 ```python
diff --git a/medcat-v2/docs/migration_guide_v2.md b/medcat-v2/docs/migration_guide_v2.md
new file mode 100644
index 000000000..203a6713e
--- /dev/null
+++ b/medcat-v2/docs/migration_guide_v2.md
@@ -0,0 +1,199 @@
+# MedCAT v2 Migration Guide
+
+Welcome to [MedCAT v2](https://docs.cogstack.org/projects/nlp/en/latest/)!
+
+This guide is for users upgrading from **v1.x** to **v2.x** of MedCAT.
+It covers what’s changed, what steps one needs to do to upgrade, and what to expect from the new version.
+For most single threaded inference users, things will continue to work as before.
+Though APIs for training (both supervised and unsupervised) have been **refactored** somewhat.
+
+---
+
+## Why v2?
+
+MedCAT v2 is a refactor designed to:
+- Increase modularity
+  - The core library is a lot more light weight and only includes essential components
+  - Additional features (many of which were always provided in v1) that need to explicitly be specified upon install
+    - `spacy` for tokenizing
+    - `deid` for transformers based NER / deidentification
+    - `meta-cat` for meta annotations (both LSTM and BERT)
+    - `rel-cat` for relation extraction
+  - The above means that `pip install medcat>=2.0` will **not** include everything that came with v1
+    - And **models built / saved in v1 will not be able to loaded** in this install
+    - There will be more details on installs in the next section(s)
+  - This comes with a number of clear advantages
+    - Smaller installs
+      - You don't need to install components you're not going to use
+    - Better separation / grouping of dependencies
+      - Each separate feature defines their own dependencies
+- Lower internal coupling with `spacy`
+  - This allows us to use other tokenizers, at least for the built in NER and Linker
+  - There's now registration available for other tokenizers
+  - There's even an example of a regular expression based tokenizer built into the library
+    - This serves more as a sample rather than an actual alternative
+- Increase extensibility and flexibility
+  - It's now a lot easier to create new components
+    - Core components (NER, Linker)
+    - Addons (MetaCAT, RelCAT)
+- Improve maintainability of code and models
+- Prepare for future use cases and integrations
+
+---
+
+## Who should read this?
+
+If you're:
+- Using MedCAT v1 (almost everything prior to **August 2025**)
+- Loading or training models saved before that date
+- Calling internal APIs (beyond basic `cat.get_entities`)
+
+...then this guide is for you.
+
+---
+
+## How to install v2
+
+Upgrading to the latest MedCAT version depends a little bit on which features you want / need.
+If you want an identical experience to v1, you should be able to simply:
+
+```bash
+pip install -U "medcat[spacy,meta-cat,rel-cat,deid]>=2.0"
+```
+
+However, you may want to avoid installing of some of the additional features if you do not need them.
+Here's a list of the additional features you can opt for with what they're used for.
+| Feature Group       | Install Name | Description                                                                |
+| ------------------- | ------------ | -------------------------------------------------------------------------- |
+| `spaCy` Tokenizer   | `spacy`      | Enables `spacy`-based tokenization, as used in MedCAT v1                   |
+| MetaCAT Annotations | `meta-cat`   | Supports meta-annotations like temporality, presence, and relevance        |
+| Transformer NER     | `deid`       | Enables transformer-based NER, primarily used for de-identification models |
+| Relation Extraction | `rel-cat`    | Adds support for extracting relations between entities                     |
+| Dictionary NER      | `dict-ner`   | Example dictionary NER module (experimental and rarely needed)             |
+
+## Summary of Changes
+
+See the full list of breaking changes [here](breaking_changes.md).
+This is just a small summary
+
+### What hasn’t changed
+- Core single threaded inference APIs (`cat.get_entities`, `cat.__call__`)
+- Model loading: `CAT.load_model_pack` still works very similarly
+- Your existing v1 models are still usable
+  - They will be converted on the fly when loaded
+
+### What _has_ changed
+- Training goes through a new class-based API
+  - Instead of `cat.train` you can use `cat.trainer.train_unsupervised`
+  - Instead of `cat.train_supervised_raw` you can use `cat.trainer.train_supervised_raw`
+- Save method renamed somewhat to be
+  - Renamed from `cat.create_model_pack` to `cat.save_model_pack`
+- Internal structure of concepts / names is more structured
+  - There's the `cdb.cui2info` and `cdb.name2info` maps
+  - More details in the breaking changes overview
+- Models are saved in a new format
+  - The idea was to simplify the (potential) addition of other serialisation options
+  - Most of the model handling is still the same
+    - There's a `.zip` to move around if/when needed
+    - The model pack unpacks into its components
+- Model components are saved differently
+  - This mostly affects MetaCAT and RelCAT models
+  - Components are saved in the `saved_components` folder within the model folder
+  - E.g `saved_components/addon_meta_cat.Presence` for MetaCAT and `addon_rel_cat.rel_cat` for RelCAT
+
+## ⚠️ Loading v1 models
+
+MedCAT v2 supports loading v1 models.
+There is no need to retrain them.
+However, loading will:
+- be significantly slower due to on-the-fly conversion
+- show a warning message about this slowdown
+
+We recommend re-saving v1 models using `cat.save_model_pack` in v2 format to mitigate this.
+
+
+## Updated Tutorials
+
+All v2 tutorials have been completely redone.
+They do not go as far into detail in everything as the v1 tutorials did.
+But they should hopefully cover most of the use cases
+The v2 tutorials are available [here](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2-tutorials).
+
+## Updated `working_with_cogstack` scripts
+
+The `working_with_cogstack` scripts have also been upgraded to support v2.
+The changes are currently in [this PR](https://github.com/CogStack/working_with_cogstack/pull/20).
+They have not yet been merged in to the `main` branch but will be in the near future.
+At that point, there will probably be a separate branch to keep track of v1-specific scripts.
+
+## MedCATtrainer
+
+MedCATtrainer has been modified to work with v2 in [this PR](https://github.com/CogStack/MedCATtrainer/pull/253).
+However, as of writing, this change has not yet been merged in or been released.
+The v2-supporting release will most likely be released as **v3** on the trainer side.
+
+## Feedback welcome!
+
+We’d love your input / feedback!
+Please report any issues or feature requests you encounter.
+That includes (but is not limited to)
+- Inability to use / run / load old models
+- Missing or unclear documentation
+- Unexpected errors or regressions
+- Confusing logs or error messages
+- Any other usability feedback
+
+Create a [GitHub issue](https://github.com/CogStack/cogstack-nlp/issues/new) or start a thread on [Discourse](https://discourse.cogstack.org/).
+
+## FAQ
+
+**Q: Do I need to retrain my model?**
+
+A: v1 models still work, but loading them is slower. We recommend re-saving after loading.
+
+**Q: Why is model loading slower than before?**
+
+A: v1 models are converted at load time to the new internal format. Once re-saved, load speed will be similar to before
+
+**Q: Does inference break in v2?**
+
+A: Using `cat.get_entities` should be identical, but multiprocessing is somewhat different, see [breaking changes](breaking_changes.md) for details.
+
+**Q: What extras do I need for a converted NER+EL model (no MetaCAT)?**
+
+A: You just need `spacy`. So `pip install "medcat[spacy]>=2.0"` should be sufficient.
+
+**Q: What extras do I need for a converted DeID model?**
+
+A: You need `spacy` (for base tokenization) as well as `deid`. So `pip install "medcat[spacy,deid]>=2.0"` should be sufficient.
+
+**Q: What extras do I need for a converted NER+L model with MetaCAT?**
+
+A: You need `spacy` (for base tokenization) as well as `meta-cat`. So `pip install "medcat[spacy,meta-cat]>=2.0"` should be sufficient.
+
+**Q: What extras do I need for a converted NER+L model with RelCAT?**
+
+A: You need `spacy` (for base tokenization) as well as `rel-cat`. So `pip install "medcat[spacy,rel-cat]>=2.0"` should be sufficient.
+
+**Q: How do I train in v2?**
+
+A: Training now uses a dedicated `medcat.trainer.Trainer` class. See tutorials and/or [breaking changes](breaking_changes.md) for details.
+
+**Q: Are v1 `working_with_cogstack` scripts still supported?**
+
+A: No. Many will break due to internal changes. Please refer to the new scripts in the [relevant branch](https://github.com/CogStack/working_with_cogstack/pull/20).
+
+
+**Q: Does MedCATtrainer work out of the box for v2?**
+
+A: No. While the [changes have been ported](https://github.com/CogStack/MedCATtrainer/pull/253), there is currently no release for these changes and it is unlikely to already be spun up yet. But it will be soon.
+
+
+**Q: Does `medcat-service` work for serving a model?**
+
+A: The [service](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-service) has been fully ported to v2.
+
+
+**Q: Does the demo app work with v2?**
+
+A: The [demo web app](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-demo-app) has been fully ported to v2.
diff --git a/medcat-v2/medcat/__init__.py b/medcat-v2/medcat/__init__.py
index 10b1a22b9..9e44fd23b 100644
--- a/medcat-v2/medcat/__init__.py
+++ b/medcat-v2/medcat/__init__.py
@@ -1,7 +1,15 @@
 from importlib.metadata import version as __version_method
 from importlib.metadata import PackageNotFoundError as __PackageNotFoundError
 
+from medcat.utils.check_for_updates import (
+    check_for_updates as __check_for_updates)
+
 try:
     __version__ = __version_method("medcat")
 except __PackageNotFoundError:
     __version__ = "0.0.0-dev"
+
+
+# NOTE: this will not always actually do the check
+#       it will only (by default) check once a week
+__check_for_updates("medcat", __version__)
diff --git a/medcat-v2/medcat/cat.py b/medcat-v2/medcat/cat.py
index 4abd6a425..1b48afa77 100644
--- a/medcat-v2/medcat/cat.py
+++ b/medcat-v2/medcat/cat.py
@@ -1,13 +1,15 @@
 from typing import Optional, Union, Any, overload, Literal, Iterable, Iterator
-from typing import cast
+from typing import cast, Type, TypeVar
 import os
 import json
 from datetime import date
 from concurrent.futures import ProcessPoolExecutor, as_completed, Future
 import itertools
 from contextlib import contextmanager
+from collections import deque
 
 import shutil
+import zipfile
 import logging
 
 from medcat.utils.defaults import DEFAULT_PACK_NAME, COMPONENTS_FOLDER
@@ -18,9 +20,10 @@
 from medcat.storage.serialisers import serialise, AvailableSerialisers
 from medcat.storage.serialisers import deserialise
 from medcat.storage.serialisables import AbstractSerialisable
+from medcat.storage.mp_ents_save import BatchAnnotationSaver
 from medcat.utils.fileutils import ensure_folder_if_parent
 from medcat.utils.hasher import Hasher
-from medcat.pipeline.pipeline import Pipeline
+from medcat.pipeline import Pipeline
 from medcat.tokenizing.tokens import MutableDocument, MutableEntity
 from medcat.tokenizing.tokenizers import SaveableTokenizer, TOKENIZER_PREFIX
 from medcat.data.entities import Entity, Entities, OnlyCUIEntities
@@ -38,6 +41,9 @@
 logger = logging.getLogger(__name__)
 
 
+AddonType = TypeVar("AddonType", bound="AddonComponent")
+
+
 class CAT(AbstractSerialisable):
     """This is a collection of serialisable model parts.
     """
@@ -48,6 +54,8 @@ def __init__(self,
                  vocab: Union[Vocab, None] = None,
                  config: Optional[Config] = None,
                  model_load_path: Optional[str] = None,
+                 config_dict: Optional[dict] = None,
+                 addon_config_dict: Optional[dict[str, dict]] = None,
                  ) -> None:
         self.cdb = cdb
         self.vocab = vocab
@@ -59,20 +67,28 @@ def __init__(self,
         elif config is not None:
             self.cdb.config = config
         self.config = config
+        if config_dict:
+            self.config.merge_config(config_dict)
 
         self._trainer: Optional[Trainer] = None
-        self._pipeline = self._recreate_pipe(model_load_path)
+        self._pipeline = self._recreate_pipe(model_load_path, addon_config_dict)
         self.usage_monitor = UsageMonitor(
             self._get_hash, self.config.general.usage_monitor)
 
-    def _recreate_pipe(self, model_load_path: Optional[str] = None
+    def _recreate_pipe(self, model_load_path: Optional[str] = None,
+                       addon_config_dict: Optional[dict[str, dict]] = None,
                        ) -> Pipeline:
         if hasattr(self, "_pipeline"):
             old_pipe = self._pipeline
         else:
             old_pipe = None
         self._pipeline = Pipeline(self.cdb, self.vocab, model_load_path,
-                                  old_pipe=old_pipe)
+                                  old_pipe=old_pipe,
+                                  addon_config_dict=addon_config_dict)
+        return self._pipeline
+
+    @property
+    def pipe(self) -> Pipeline:
         return self._pipeline
 
     @classmethod
@@ -159,7 +175,7 @@ def get_entities(self,
     def _mp_worker_func(
             self,
             texts_and_indices: list[tuple[str, str, bool]]
-            ) -> list[tuple[str, str, Union[dict, Entities, OnlyCUIEntities]]]:
+            ) -> list[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
         # NOTE: this is needed for subprocess as otherwise they wouldn't have
         #       any of these set
         # NOTE: these need to by dynamic in case the extra's aren't included
@@ -180,7 +196,7 @@ def _mp_worker_func(
             elif has_rel_cat and isinstance(addon, RelCATAddon):
                 addon._rel_cat._init_data_paths()
         return [
-            (text, text_index, self.get_entities(text, only_cui=only_cui))
+            (text_index, self.get_entities(text, only_cui=only_cui))
             for text, text_index, only_cui in texts_and_indices]
 
     def _generate_batches_by_char_length(
@@ -256,7 +272,8 @@ def _mp_one_batch_per_process(
             self,
             executor: ProcessPoolExecutor,
             batch_iter: Iterator[list[tuple[str, str, bool]]],
-            external_processes: int
+            external_processes: int,
+            saver: Optional[BatchAnnotationSaver],
             ) -> Iterator[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
         futures: list[Future] = []
         # submit batches, one for each external processes
@@ -269,16 +286,16 @@ def _mp_one_batch_per_process(
                 break
         if not futures:
             # NOTE: if there wasn't any data, we didn't process anything
-            return
+            raise OutOfDataException()
         # Main process works on next batch while workers are busy
         main_batch: Optional[list[tuple[str, str, bool]]]
         try:
             main_batch = next(batch_iter)
             main_results = self._mp_worker_func(main_batch)
-
+            if saver:
+                saver(main_results)
             # Yield main process results immediately
-            for result in main_results:
-                yield result[1], result[2]
+            yield from main_results
 
         except StopIteration:
             main_batch = None
@@ -295,20 +312,63 @@ def _mp_one_batch_per_process(
             done_future = next(as_completed(futures))
             futures.remove(done_future)
 
+            cur_results = done_future.result()
+            if saver:
+                saver(cur_results)
+
             # Yield all results from this batch
-            for result in done_future.result():
-                yield result[1], result[2]
+            yield from cur_results
 
-            # Submit next batch to keep workers busy
-            try:
-                batch = next(batch_iter)
-                futures.append(
-                    executor.submit(self._mp_worker_func, batch))
-            except StopIteration:
-                # NOTE: if there's nothing to batch, we've got nothing
-                #       to submit in terms of new work to the workers,
-                #       but we may still have some futures to wait for
-                pass
+    def save_entities_multi_texts(
+            self,
+            texts: Union[Iterable[str], Iterable[tuple[str, str]]],
+            save_dir_path: str,
+            only_cui: bool = False,
+            n_process: int = 1,
+            batch_size: int = -1,
+            batch_size_chars: int = 1_000_000,
+            batches_per_save: int = 20,
+    ) -> None:
+        """Saves the resulting entities on disk and allows multiprocessing.
+
+        This uses `get_entities_multi_texts` under the hood. But it is designed
+        to save the data on disk as it comes through.
+
+        Args:
+            texts (Union[Iterable[str], Iterable[tuple[str, str]]]):
+                The input text. Either an iterable of raw text or one
+                with in the format of `(text_index, text)`.
+            save_dir_path (str):
+                The path where the results are saved. The directory will have
+                a `annotated_ids.pickle` file containing the
+                `tuple[list[str], int]` with a list of indices already saved
+                and the number of parts already saved. In addition there will
+                be (usually multuple) files in the `part_<num>.pickle` format
+                with the partial outputs.
+            only_cui (bool):
+                Whether to only return CUIs rather than other information
+                like start/end and annotated value. Defaults to False.
+            n_process (int):
+                Number of processes to use. Defaults to 1.
+                The number of texts to batch at a time. A batch of the
+                specified size will be given to each worker process.
+                Defaults to -1 and in this case the character count will
+                be used instead.
+            batch_size_chars (int):
+                The maximum number of characters to process in a batch.
+                Each process will be given batch of texts with a total
+                number of characters not exceeding this value. Defaults
+                to 1,000,000 characters. Set to -1 to disable.
+        """
+        if save_dir_path is None:
+            raise ValueError("Need to specify a save path (`save_dir_path`), "
+                             f"got {save_dir_path}")
+        out_iter = self.get_entities_multi_texts(
+            texts, only_cui=only_cui, n_process=n_process,
+            batch_size=batch_size, batch_size_chars=batch_size_chars,
+            save_dir_path=save_dir_path, batches_per_save=batches_per_save)
+        # NOTE: not keeping anything since it'll be saved on disk
+        deque(out_iter, maxlen=0)
 
     def get_entities_multi_texts(
             self,
@@ -317,6 +377,8 @@ def get_entities_multi_texts(
             n_process: int = 1,
             batch_size: int = -1,
             batch_size_chars: int = 1_000_000,
+            save_dir_path: Optional[str] = None,
+            batches_per_save: int = 20,
             ) -> Iterator[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
         """Get entities from multiple texts (potentially in parallel).
 
@@ -343,6 +405,16 @@ def get_entities_multi_texts(
                 Each process will be given batch of texts with a total
                 number of characters not exceeding this value. Defaults
                 to 1,000,000 characters. Set to -1 to disable.
+            save_dir_path (Optional[str]):
+                The path to where (if specified) the results are saved.
+                The directory will have a `annotated_ids.pickle` file
+                containing the tuple[list[str], int] with a list of
+                indices already saved and then umber of parts already saved.
+                In addition there will be (usually multuple) files in the
+                `part_<num>.pickle` format with the partial outputs.
+            batches_per_save (int):
+                The number of patches to save (if `save_dir_path` is specified)
+                at once. Defaults to 20.
 
         Yields:
             Iterator[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
@@ -352,15 +424,36 @@ def get_entities_multi_texts(
             Union[Iterator[str], Iterator[tuple[str, str]]], iter(texts))
         batch_iter = self._generate_batches(
             text_iter, batch_size, batch_size_chars, only_cui)
+        if save_dir_path:
+            saver = BatchAnnotationSaver(save_dir_path, batches_per_save)
+        else:
+            saver = None
+        yield from self._get_entities_multi_texts(
+            n_process=n_process, batch_iter=batch_iter, saver=saver)
+
+    def _get_entities_multi_texts(
+            self,
+            n_process: int,
+            batch_iter: Iterator[list[tuple[str, str, bool]]],
+            saver: Optional[BatchAnnotationSaver],
+            ) -> Iterator[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
         if n_process == 1:
             # just do in series
             for batch in batch_iter:
-                for _, text_index, result in self._mp_worker_func(batch):
-                    yield text_index, result
+                batch_results = self._mp_worker_func(batch)
+                if saver is not None:
+                    saver(batch_results)
+                yield from batch_results
+            if saver:
+                # save remainder
+                saver._save_cache()
             return
 
         with self._no_usage_monitor_exit_flushing():
-            yield from self._multiprocess(n_process, batch_iter)
+            yield from self._multiprocess(n_process, batch_iter, saver)
+        if saver:
+            # save remainder
+            saver._save_cache()
 
     @contextmanager
     def _no_usage_monitor_exit_flushing(self):
@@ -379,7 +472,8 @@ def _no_usage_monitor_exit_flushing(self):
 
     def _multiprocess(
             self, n_process: int,
-            batch_iter: Iterator[list[tuple[str, str, bool]]]
+            batch_iter: Iterator[list[tuple[str, str, bool]]],
+            saver: Optional[BatchAnnotationSaver],
             ) -> Iterator[tuple[str, Union[dict, Entities, OnlyCUIEntities]]]:
         external_processes = n_process - 1
         if self.FORCE_SPAWN_MP:
@@ -390,8 +484,12 @@ def _multiprocess(
                 "libraries using threads or native extensions.")
             mp.set_start_method("spawn", force=True)
         with ProcessPoolExecutor(max_workers=external_processes) as executor:
-            yield from self._mp_one_batch_per_process(
-                executor, batch_iter, external_processes)
+            while True:
+                try:
+                    yield from self._mp_one_batch_per_process(
+                        executor, batch_iter, external_processes, saver=saver)
+                except OutOfDataException:
+                    break
 
     def _get_entity(self, ent: MutableEntity,
                     doc_tokens: list[str],
@@ -425,15 +523,7 @@ def _get_entity(self, ent: MutableEntity,
             'context_similarity': ent.context_similarity,
             'start': ent.base.start_char_index,
             'end': ent.base.end_char_index,
-            # TODO: add additional info (i.e mappings)
-            # for addl in addl_info:
-            #     tmp = self.cdb.addl_info.get(addl, {}).get(cui, [])
-            #     out_ent[addl.split("2")[-1]] = list(tmp) if type(tmp) is
-            # set else tmp
             'id': ent.id,
-            # TODO: add met annotations
-            # if hasattr(ent._, 'meta_anns') and ent._.meta_anns:
-            #     out_ent['meta_anns'] = ent._.meta_anns
             'meta_anns': {},
             'context_left': left_context,
             'context_center': center_context,
@@ -441,8 +531,51 @@ def _get_entity(self, ent: MutableEntity,
         }
         # addons:
         out_dict.update(self.get_addon_output(ent))  # type: ignore
+        # other ontologies
+        other_onts = self._set_and_get_mapped_ontologies()
+        if other_onts:
+            for ont in other_onts:
+                if ont in out_dict:
+                    logger.warning(
+                        "Trying to map to ontology '%s', but it already "
+                        "exists in the out dict, so unable to add it. "
+                        "If this is for an actual ontology that shares a "
+                        "name with something else, cosider renaming the "
+                        "mapping in `cdb.addl_info`")
+                    continue
+                addl_info_name = f"cui2{ont}"
+                if addl_info_name not in self.cdb.addl_info:
+                    logger.warning(
+                        "Trying to map to ontology '%s' but it is not set in "
+                        "addl_info so unable to do so", ont)
+                    continue
+                ont_map = self.cdb.addl_info[addl_info_name]
+                ont_values = ont_map.get(cui, [])
+                out_dict[ont] = ont_values  # type: ignore
         return out_dict
 
+    def _set_and_get_mapped_ontologies(
+            self,
+            ignore_set: set[str] = {"ontologies", "original_names",
+                                    "description", "group"},
+            ignore_empty: bool = True) -> list[str]:
+        other_onts = self.config.general.map_to_other_ontologies
+        if other_onts == "auto":
+            self.config.general.map_to_other_ontologies = other_onts = [
+                npkey
+                for key, val in self.cdb.addl_info.items()
+                if key.startswith("cui2") and
+                # ignore empty if required / expected
+                (not ignore_empty or val) and
+                # these are things that get auto-populated in addl_info
+                # but don't generally contain ontology mapping information
+                # directly
+                (npkey := key.removeprefix("cui2")) not in ignore_set
+            ]
+            logger.info(
+                "Automatically finding ontologies to map to: %s", other_onts)
+        return other_onts
+
     def get_addon_output(self, ent: MutableEntity) -> dict[str, dict]:
         """Get the addon output for the entity.
 
@@ -645,11 +778,21 @@ def attempt_unpack(cls, zip_path: str) -> str:
         return model_pack_path
 
     @classmethod
-    def load_model_pack(cls, model_pack_path: str) -> 'CAT':
+    def load_model_pack(cls, model_pack_path: str,
+                        config_dict: Optional[dict] = None,
+                        addon_config_dict: Optional[dict[str, dict]] = None
+                        ) -> 'CAT':
         """Load the model pack from file.
 
         Args:
             model_pack_path (str): The model pack path.
+            config_dict (Optional[dict]): The model config to
+                merge in before initialising the pipe. Defaults to None.
+            addon_config_dict (Optional[dict]): The Addon-specific
+                config dict to merge in before pipe initialisation.
+                If specified, it needs to have an addon dict per name.
+                For instance, `{"meta_cat.Subject": {}}` would apply
+                to the specific MetaCAT.
 
         Raises:
             ValueError: If the saved data does not represent a model pack.
@@ -680,11 +823,17 @@ def load_model_pack(cls, model_pack_path: str) -> 'CAT':
                             TOKENIZER_PREFIX,
                             # components will be loaded semi-manually
                             # within the creation of pipe
-                            COMPONENTS_FOLDER})
+                            COMPONENTS_FOLDER,
+                            # ignore hidden files/folders
+                            '.'},
+                          config_dict=config_dict,
+                          addon_config_dict=addon_config_dict)
         # NOTE: deserialising of components that need serialised
         #       will be dealt with upon pipeline creation automatically
         if not isinstance(cat, CAT):
             raise ValueError(f"Unable to load CAT. Got: {cat}")
+        # reset mapped ontologies at load time but after CDB load
+        cat._set_and_get_mapped_ontologies()
         return cat
 
     @classmethod
@@ -707,16 +856,19 @@ def load_cdb(cls, model_pack_path: str) -> CDB:
 
     @classmethod
     def load_addons(
-            cls, model_pack_path: str, meta_cat_config_dict: Optional[dict] = None
+            cls, model_pack_path: str,
+            addon_config_dict: Optional[dict[str, dict]] = None
             ) -> list[tuple[str, AddonComponent]]:
         """Load addons based on a model pack path.
 
         Args:
             model_pack_path (str): path to model pack, zip or dir.
-            meta_cat_config_dict (Optional[dict]):
-                A config dict that will overwrite existing configs in meta_cat.
-                e.g. meta_cat_config_dict = {'general': {'device': 'cpu'}}.
-                Defaults to None.
+            addon_config_dict (Optional[dict]): The Addon-specific
+                config dict to merge in before pipe initialisation.
+                If specified, it needs to have an addon dict per name.
+                For instance,
+                `{"meta_cat.Subject": {'general': {'device': 'cpu'}}}`
+                would apply to the specific MetaCAT.
 
         Returns:
             List[tuple(str, AddonComponent)]: list of pairs of adddon names the addons.
@@ -724,20 +876,23 @@ def load_addons(
         components_folder = os.path.join(model_pack_path, COMPONENTS_FOLDER)
         if not os.path.exists(components_folder):
             return []
-        addon_paths = [
-            folder_path
+        addon_paths_and_names = [
+            (folder_path, folder_name.removeprefix(AddonComponent.NAME_PREFIX))
             for folder_name in os.listdir(components_folder)
             if os.path.isdir(folder_path := os.path.join(
                 components_folder, folder_name))
             and folder_name.startswith(AddonComponent.NAME_PREFIX)
         ]
         loaded_addons = [
-            addon for addon_path in addon_paths
-            if isinstance(addon := deserialise(addon_path), AddonComponent)
+            addon for addon_path, addon_name in addon_paths_and_names
+            if isinstance(addon := (
+                deserialise(addon_path, model_config=addon_config_dict.get(addon_name))
+                if addon_config_dict else
+                deserialise(addon_path)
+                ), AddonComponent)
         ]
         return [(addon.full_name, addon) for addon in loaded_addons]
 
-
     @overload
     def get_model_card(self, as_dict: Literal[True]) -> ModelCard:
         pass
@@ -755,13 +910,11 @@ def get_model_card(self, as_dict: bool = False) -> Union[str, ModelCard]:
         Returns:
             Union[str, ModelCard]: The model card.
         """
-        meta_cat_categories = [
-            cnf.general.category_name  # type: ignore
-            for cnf in self.config.components.addons
-            if cnf.comp_name == 'meta_cat' and
-            # NOTE: not the best way to check this,
-            #       but I don't want to import the addon config
-            type(cnf).__name__ == 'ConfigMetaCAT']
+        from medcat.components.addons.meta_cat import MetaCATAddon
+        met_cat_model_cards = [
+            mc.mc.get_model_card(True) for mc in
+            self.get_addons_of_type(MetaCATAddon)
+        ]
         cdb_info = self.cdb.get_basic_info()
         model_card: ModelCard = {
             'Model ID': self.config.meta.hash,
@@ -770,7 +923,7 @@ def get_model_card(self, as_dict: bool = False) -> Union[str, ModelCard]:
             'Description': self.config.meta.description,
             'Source Ontology': self.config.meta.ontology,
             'Location': self.config.meta.location,
-            'MetaCAT models': meta_cat_categories,
+            'MetaCAT models': met_cat_model_cards,
             'Basic CDB Stats': cdb_info,
             'Performance': {},  # TODO
             'Important Parameters (Partial view, '
@@ -782,6 +935,59 @@ def get_model_card(self, as_dict: bool = False) -> Union[str, ModelCard]:
             return model_card
         return json.dumps(model_card, indent=2, sort_keys=False)
 
+    @overload
+    @classmethod
+    def load_model_card_off_disk(cls, model_pack_path: str,
+                                 as_dict: Literal[True],
+                                 avoid_unpack: bool = False) -> ModelCard:
+        pass
+
+    @overload
+    @classmethod
+    def load_model_card_off_disk(cls, model_pack_path: str,
+                                 as_dict: Literal[False],
+                                 avoid_unpack: bool = False) -> str:
+        pass
+
+    @classmethod
+    def load_model_card_off_disk(cls, model_pack_path: str,
+                                 as_dict: bool = False,
+                                 avoid_unpack: bool = False,
+                                 ) -> Union[str, ModelCard]:
+        """Load the model card off disk as a (nested) `dict` or a json string.
+
+        Args:
+            model_pack_path (str): The path to the model pack (zip or folder).
+            as_dict (bool): Whether to return as dict. Defaults to False.
+            avoid_unpack (bool): Whether to avoid unpacking the model pack if
+                no previous unpacked path exists. Defaults to False.
+
+        Returns:
+            Union[str, ModelCard]: The model card.
+        """
+        model_card: Optional[ModelCard] = None
+        # unpack if needed
+        if model_pack_path.endswith(".zip"):
+            if (avoid_unpack and
+                    not os.path.exists(model_pack_path.removesuffix(".zip"))):
+                # stream the model card directly from the zip
+                with zipfile.ZipFile(model_pack_path) as zf:
+                    with zf.open("model_card.json") as src:
+                        model_card = json.load(src)
+            else:
+                # if allowed to unpack or already unpacked anyway
+                model_pack_path = cls.attempt_unpack(model_pack_path)
+        if model_card is None:
+            # i.e not loaded directly off disk
+            # load model card
+            model_card_path = os.path.join(model_pack_path, "model_card.json")
+            with open(model_card_path) as f:
+                model_card = json.load(f)
+        # return as dict or json
+        if as_dict:
+            return model_card
+        return json.dumps(model_card, indent=2, sort_keys=False)
+
     def __eq__(self, other: Any) -> bool:
         if not isinstance(other, CAT):
             return False
@@ -792,5 +998,36 @@ def __eq__(self, other: Any) -> bool:
     # addon (e.g MetaCAT) related stuff
 
     def add_addon(self, addon: AddonComponent) -> None:
+        """Add the addon to the model pack an pipe.
+
+        Args:
+            addon (AddonComponent): The addon to add.
+        """
         self.config.components.addons.append(addon.config)
         self._pipeline.add_addon(addon)
+
+    def get_addons(self) -> list[AddonComponent]:
+        """Get the list of all addons in this model pack.
+
+        Returns:
+            list[AddonComponent]: The list of addons present.
+        """
+        return list(self._pipeline.iter_addons())
+
+    def get_addons_of_type(self, addon_type: Type[AddonType]) -> list[AddonType]:
+        """Get a list of addons of a specific type.
+
+        Args:
+            addon_type (Type[AddonType]): The type of addons to look for.
+
+        Returns:
+            list[AddonType]: The list of addons of this specific type.
+        """
+        return [
+            addon for addon in self.get_addons()
+            if isinstance(addon, addon_type)
+        ]
+
+
+class OutOfDataException(ValueError):
+    pass
diff --git a/medcat-v2/medcat/cdb/cdb.py b/medcat-v2/medcat/cdb/cdb.py
index 6c56b35da..d1592a2ff 100644
--- a/medcat-v2/medcat/cdb/cdb.py
+++ b/medcat-v2/medcat/cdb/cdb.py
@@ -1,4 +1,4 @@
-from typing import Iterable, Any, Collection, Union, Literal
+from typing import Iterable, Any, Collection, Union, Literal, Sequence
 import os
 
 from medcat.storage.serialisables import AbstractSerialisable
@@ -354,16 +354,14 @@ def filter_by_cui(self, cuis_to_keep: Collection[str]) -> None:
         self._reset_subnames()
         self.is_dirty = True
 
-    def remove_cui(self, cui: str) -> None:
-        """This function takes a CUI and removes it the CDB.
-
-        It also removes the CUI from name specific per_cui_status
-        maps as well as well as removes all the names that do not
-        correspond to any CUIs after the removal of this one.
+    def remove_cuis_bulk(self, cuis: Sequence[str]) -> None:
+        for cui in cuis:
+            self._remove_cui(cui)
+        # reset subnames once
+        self._reset_subnames()
 
-        Args:
-            cui (str): The CUI to remove.
-        """
+    def _remove_cui(self, cui: str) -> None:
+        # NOTE: remove CUI without doing a subname reset
         if cui not in self.cui2info:
             logger.warning(
                 "Trying remove CUI '%s' which does not exist in CDB", cui)
@@ -375,6 +373,18 @@ def remove_cui(self, cui: str) -> None:
             # if name name corresponds to no CUIs
             if not ni['per_cui_status']:
                 del self.name2info[name]
+
+    def remove_cui(self, cui: str) -> None:
+        """This function takes a CUI and removes it the CDB.
+
+        It also removes the CUI from name specific per_cui_status
+        maps as well as well as removes all the names that do not
+        correspond to any CUIs after the removal of this one.
+
+        Args:
+            cui (str): The CUI to remove.
+        """
+        self._remove_cui(cui)
         # need to reset subnames
         self._reset_subnames()
         self.is_dirty = True
@@ -511,7 +521,25 @@ def save(self, save_path: str,
         serialise(serialiser, self, save_path, overwrite=overwrite)
 
     @classmethod
-    def load(cls, path: str) -> 'CDB':
+    def load(cls, path: str, perform_fixes: bool = True) -> 'CDB':
+        """Load the CDB off disk.
+
+        This can load a legacy (v1) CDB (.dat) or a v2 CDB either in its folder
+        format or the .zip format. The distinction is made automatically.
+
+        Args:
+            path (str): The path to the CDB.
+            perform_fixes (bool): Whether to perform fixes such as
+                original names issue. Defaults to True.
+
+        Raises:
+            LegacyConversionDisabledError:
+                If when a legacy model is found and conversion is not allowed.
+            ValueError: If the loaded object isn't a CDB.
+
+        Returns:
+            CDB: The loaded CDB.
+        """
         if should_serialise_as_zip(path, 'auto'):
             cdb = deserialise_from_zip(path)
         elif os.path.isfile(path) and path.endswith('.dat'):
@@ -525,4 +553,9 @@ def load(cls, path: str) -> 'CDB':
             cdb = deserialise(path)
         if not isinstance(cdb, CDB):
             raise ValueError(f"The path '{path}' is not a CDB!")
+        if perform_fixes:
+            # perform fix(es)
+            from medcat.utils.legacy.fixes import (
+                fix_cui2original_names_if_needed)
+            fix_cui2original_names_if_needed(cdb)
         return cdb
diff --git a/medcat-v2/medcat/components/addons/meta_cat/__init__.py b/medcat-v2/medcat/components/addons/meta_cat/__init__.py
index d20f39911..6bb532a21 100644
--- a/medcat-v2/medcat/components/addons/meta_cat/__init__.py
+++ b/medcat-v2/medcat/components/addons/meta_cat/__init__.py
@@ -1,7 +1,13 @@
 from medcat.utils.import_utils import ensure_optional_extras_installed
 import medcat
 
-from .meta_cat import (MetaCAT, MetaCATAddon,
+_EXTRA_NAME = "meta-cat"
+ensure_optional_extras_installed(medcat.__name__, _EXTRA_NAME)
+
+# NOTE: need to check above before local imports, otherwise there's no
+#       point since the imports below will have already failed
+
+from .meta_cat import (MetaCAT, MetaCATAddon,  # noqa
                        get_meta_annotations, MetaAnnotationValue)
 
 
@@ -9,7 +15,3 @@
            "get_meta_annotations", "MetaAnnotationValue"]
 
 # NOTE: the _ is converted to - automatically
-_EXTRA_NAME = "meta-cat"
-
-
-ensure_optional_extras_installed(medcat.__name__, _EXTRA_NAME)
diff --git a/medcat-v2/medcat/components/addons/meta_cat/data_utils.py b/medcat-v2/medcat/components/addons/meta_cat/data_utils.py
index 7892b9ae9..caf568b9f 100644
--- a/medcat-v2/medcat/components/addons/meta_cat/data_utils.py
+++ b/medcat-v2/medcat/components/addons/meta_cat/data_utils.py
@@ -1,8 +1,9 @@
-from typing import Optional
+from typing import Optional, Iterator, cast
 import copy
 
 from medcat.components.addons.meta_cat.mctokenizers.tokenizers import (
     TokenizerWrapperBase)
+from medcat.config.config_meta_cat import ConfigMetaCAT
 import logging
 
 logger = logging.getLogger(__name__)
@@ -15,7 +16,8 @@ def prepare_from_json(data: dict,
                       cui_filter: Optional[set] = None,
                       replace_center: Optional[str] = None,
                       prerequisites: dict = {},
-                      lowercase: bool = True) -> dict:
+                      lowercase: bool = True
+                      ) -> dict[str, list[tuple[list, list, str]]]:
     """Convert the data from a json format into a CSV-like format for
     training. This function is not very efficient (the one working with
     documents as part of the meta_cat.pipe method is much better).
@@ -64,91 +66,110 @@ def prepare_from_json(data: dict,
 
             if len(text) > 0:
                 doc_text = tokenizer(text)
+                for name, sample in _prepare_from_json_loop(
+                        document, prerequisites, cui_filter, doc_text,
+                        cntx_left, cntx_right, lowercase, replace_center,
+                        tokenizer):
+                    if name in out_data:
+                        out_data[name].append(sample)
+                    else:
+                        out_data[name] = [sample]
 
-                for ann in document.get('annotations', document.get(
-                        # A hack to support entities and annotations
-                        'entities', {}).values()):
-                    cui = ann['cui']
-                    skip = False
-                    if 'meta_anns' in ann and prerequisites:
-                        # It is possible to require certain meta_anns to exist
-                        # and have a specific value
-                        for meta_ann in prerequisites:
-                            if (meta_ann not in ann['meta_anns'] or
-                                    ann['meta_anns'][meta_ann][
-                                        'value'] != prerequisites[meta_ann]):
-                                # Skip this annotation as the prerequisite
-                                # is not met
-                                skip = True
-                                break
-
-                    if not skip and (cui_filter is None or
-                                     not cui_filter or cui in cui_filter):
-                        if ann.get('validated', True) and (
-                                not ann.get('deleted', False) and
-                                not ann.get('killed', False)
-                                and not ann.get('irrelevant', False)):
-                            start = ann['start']
-                            end = ann['end']
-
-                            # Updated implementation to extract all the tokens
-                            # for the medical entity (rather than the one)
-                            ctoken_idx = []
-                            for ind, pair in enumerate(
-                                    doc_text['offset_mapping']):
-                                if start <= pair[0] or start <= pair[1]:
-                                    if end <= pair[1]:
-                                        ctoken_idx.append(ind)
-                                        break
-                                    else:
-                                        ctoken_idx.append(ind)
-
-                            _start = max(0, ctoken_idx[0] - cntx_left)
-                            _end = min(len(doc_text['input_ids']),
-                                       ctoken_idx[-1] + 1 + cntx_right)
-
-                            cpos = cntx_left + min(0, ind - cntx_left)
-                            cpos_new = [x - _start for x in ctoken_idx]
-                            tkns = doc_text['input_ids'][_start:_end]
-
-                            if replace_center is not None:
-                                if lowercase:
-                                    replace_center = replace_center.lower()
-                                for p_ind, pair in enumerate(
-                                        doc_text['offset_mapping']):
-                                    if start >= pair[0] and start < pair[1]:
-                                        s_ind = p_ind
-                                    if end > pair[0] and end <= pair[1]:
-                                        e_ind = p_ind
-
-                                ln = e_ind - s_ind
-                                tkns = tkns[:cpos] + tokenizer(
-                                    replace_center)['input_ids'] + tkns[
-                                        cpos + ln + 1:]
-
-                            # Backward compatibility if meta_anns is a list vs
-                            # dict in the new approach
-                            meta_anns: list[dict] = []
-                            if 'meta_anns' in ann:
-                                if isinstance(ann['meta_anns'], dict):
-                                    meta_anns.extend(ann['meta_anns'].values())
-                                else:
-                                    meta_anns.extend(ann['meta_anns'])
-
-                            # If the annotation is validated
-                            for meta_ann in meta_anns:
-                                name = meta_ann['name']
-                                value = meta_ann['value']
-
-                                sample = [tkns, cpos_new, value]
-
-                                if name in out_data:
-                                    out_data[name].append(sample)
-                                else:
-                                    out_data[name] = [sample]
     return out_data
 
 
+def _prepare_from_json_loop(document: dict,
+                            prerequisites: dict,
+                            cui_filter: Optional[set],
+                            doc_text: dict,
+                            cntx_left: int,
+                            cntx_right: int,
+                            lowercase: bool,
+                            replace_center: Optional[str],
+                            tokenizer: TokenizerWrapperBase,
+                            ) -> Iterator[tuple[str, tuple[list, list, str]]]:
+    for ann in document.get('annotations', document.get(
+            # A hack to support entities and annotations
+            'entities', {}).values()):
+        cui = ann['cui']
+        skip = False
+        if 'meta_anns' in ann and prerequisites:
+            # It is possible to require certain meta_anns to exist
+            # and have a specific value
+            for meta_ann in prerequisites:
+                if (meta_ann not in ann['meta_anns'] or
+                        ann['meta_anns'][meta_ann][
+                            'value'] != prerequisites[meta_ann]):
+                    # Skip this annotation as the prerequisite
+                    # is not met
+                    skip = True
+                    break
+
+        if not skip and (cui_filter is None or
+                         not cui_filter or cui in cui_filter):
+            if ann.get('validated', True) and (
+                    not ann.get('deleted', False) and
+                    not ann.get('killed', False)
+                    and not ann.get('irrelevant', False)):
+                start = ann['start']
+                end = ann['end']
+
+                # Updated implementation to extract all the tokens
+                # for the medical entity (rather than the one)
+                ctoken_idx = []
+                for ind, pair in enumerate(
+                        doc_text['offset_mapping']):
+                    if start <= pair[0] or start <= pair[1]:
+                        if end <= pair[1]:
+                            ctoken_idx.append(ind)
+                            break
+                        else:
+                            ctoken_idx.append(ind)
+
+                _start = max(0, ctoken_idx[0] - cntx_left)
+                _end = min(len(doc_text['input_ids']),
+                           ctoken_idx[-1] + 1 + cntx_right)
+
+                cpos = cntx_left + min(0, ind - cntx_left)
+                cpos_new = [x - _start for x in ctoken_idx]
+                tkns = doc_text['input_ids'][_start:_end]
+
+                if replace_center is not None:
+                    if lowercase:
+                        replace_center = replace_center.lower()
+                    for p_ind, pair in enumerate(
+                            doc_text['offset_mapping']):
+                        if start >= pair[0] and start < pair[1]:
+                            s_ind = p_ind
+                        if end > pair[0] and end <= pair[1]:
+                            e_ind = p_ind
+
+                    ln = e_ind - s_ind
+                    tkns = tkns[:cpos] + tokenizer(
+                        replace_center)['input_ids'] + tkns[
+                            cpos + ln + 1:]
+
+                # Backward compatibility if meta_anns is a list vs
+                # dict in the new approach
+                meta_anns: list[dict] = []
+                if 'meta_anns' in ann:
+                    if isinstance(ann['meta_anns'], dict):
+                        meta_anns.extend(ann['meta_anns'].values())
+                    else:
+                        meta_anns.extend(ann['meta_anns'])
+
+                # If the annotation is validated
+                for meta_ann in meta_anns:
+                    name = meta_ann['name']
+                    value = meta_ann['value']
+
+                    # NOTE: representing as tuple so as to have better typing
+                    #       but using a list to allow assignment
+                    sample: tuple[list, list, str] = cast(
+                        tuple[list, list, str], [tkns, cpos_new, value])
+                    yield name, sample
+
+
 def prepare_for_oversampled_data(data: list,
                                  tokenizer: TokenizerWrapperBase) -> list:
     """Convert the data from a json format into a CSV-like format for
@@ -189,31 +210,145 @@ def prepare_for_oversampled_data(data: list,
     return data_sampled
 
 
-def encode_category_values(data: dict,
+def find_alternate_classname(category_value2id: dict, category_values: set[str],
+                             alternative_class_names: list[list[str]]) -> dict:
+    """Find and map to alternative class names for the given category.
+
+        Example:
+            For Temporality category, 'Recent' is an alternative to 'Present'.
+
+        Args:
+            category_value2id (dict):
+                The pre-defined category_value2id
+            category_values (set[str]):
+                Contains the classes (labels) found in the data
+            alternative_class_names (list[list[str]]):
+                Contains the mapping of alternative class names
+
+        Returns:
+            category_value2id (dict):
+                Updated category_value2id with keys corresponding to
+                alternative class names
+
+        Raises:
+            Exception: If no alternatives are found for labels in
+                category_value2id that don't match any of the labels in
+                the data
+            Exception: If the alternatives defined for labels in
+                category_value2id that don't match any of the labels in
+                the data
+    """
+
+    updated_category_value2id = {}
+    for _class in category_value2id.keys():
+        if _class in category_values:
+            updated_category_value2id[_class] = category_value2id[_class]
+        else:
+            found_in = [sub_map for sub_map in alternative_class_names
+                        if _class in sub_map]
+            failed_to_find = False
+            if len(found_in) != 0:
+                class_name_matched = [label for label in found_in[0]
+                                      if label in category_values]
+                if len(class_name_matched) != 0:
+                    updated_category_value2id[
+                        class_name_matched[0]] = category_value2id[_class]
+                    logger.info(
+                        "Class name '%s' does not exist in the data; however "
+                        "a variation of it '%s' is present; updating it...",
+                        _class, class_name_matched[0])
+                else:
+                    failed_to_find = True
+            else:
+                failed_to_find = True
+            if failed_to_find:
+                raise Exception(
+                    "The classes set in the config are not the same as the "
+                    "one found in the data. The classes present in the config "
+                    "vs the ones found in the data - "
+                    f"{set(category_value2id.keys())}, {category_values}. "
+                    "Additionally, ensure the populate the "
+                    "'alternative_class_names' attribute to accommodate for "
+                    "variations.")
+    category_value2id = copy.deepcopy(updated_category_value2id)
+    logger.info("Updated categoryvalue2id mapping - %s", category_value2id)
+    return category_value2id
+
+
+def undersample_data(data: list, category_value2id: dict, label_data_,
+                     config: ConfigMetaCAT) -> list:
+    """Undersamples the data for 2 phase learning
+
+        Args:
+            data (list):
+                Output of `prepare_from_json`.
+            category_value2id(dict):
+                Map from category_value to id.
+            label_data_:
+                Map that stores the number of samples for each label
+            config:
+                MetaCAT config
+
+        Returns:
+            data_undersampled (list):
+                Return the data created for 2 phase learning) with integers
+                inplace of strings for category values
+    """
+
+    data_undersampled = []
+    category_undersample = config.model.category_undersample
+    if category_undersample is None or category_undersample == '':
+        min_label = min(label_data_.values())
+
+    else:
+        if (category_undersample not in label_data_.keys() and
+                category_undersample in category_value2id.keys()):
+            min_label = label_data_[category_value2id[category_undersample]]
+        else:
+            min_label = label_data_[category_undersample]
+
+    label_data_counter = {v: 0 for v in category_value2id.values()}
+
+    for sample in data:
+        if label_data_counter[sample[-1]] < min_label:
+            data_undersampled.append(sample)
+            label_data_counter[sample[-1]] += 1
+
+    label_data = {v: 0 for v in category_value2id.values()}
+    for i in range(len(data_undersampled)):
+        if data_undersampled[i][2] in category_value2id.values():
+            label_data[data_undersampled[i][2]] = (
+                label_data[data_undersampled[i][2]] + 1)
+    logger.info("Updated number of samples per label (for 2-phase learning):"
+                " %s", label_data)
+    return data_undersampled
+
+
+def encode_category_values(data: list[tuple[list, list, str]],
                            existing_category_value2id: Optional[dict] = None,
-                           category_undersample=None,
-                           alternative_class_names: list[list[str]] = []
-                           ) -> tuple:
+                           alternative_class_names: list[list[str]] = [],
+                           config: Optional[ConfigMetaCAT] = None,
+                           ) -> tuple[
+                               list[tuple[list, list, str]], list, dict]:
     """Converts the category values in the data outputted by
     `prepare_from_json` into integer values.
 
     Args:
-        data (dict):
+        data (list[tuple[list, list, str]]):
             Output of `prepare_from_json`.
         existing_category_value2id(Optional[dict]):
             Map from category_value to id (old/existing).
-        category_undersample:
-            Name of class that should be used to undersample the data (for 2
-            phase learning)
         alternative_class_names (list[list[str]]):
             A list of lists of strings, where each list contains variations
             of a class name. Usually read from the config at
             `config.general.alternative_class_names`.
+        config (Optional[ConfigMetaCAT]):
+            The MetaCAT Config.
 
     Returns:
-        dict:
+        list[tuple[list, list, str]]:
             New data with integers inplace of strings for category values.
-        dict:
+        list:
             New undersampled data (for 2 phase learning) with integers
             inplace of strings for category values
         dict:
@@ -231,97 +366,59 @@ def encode_category_values(data: dict,
 
     category_values = set([x[2] for x in data_list])
 
-    if (len(category_value2id) != 0 and
-            set(category_value2id.keys()) != category_values):
-        # if categoryvalue2id doesn't match the labels in the data,
-        # then 'alternative_class_names' has to be defined to check
-        # for variations
-        if len(alternative_class_names) == 0:
-            # Raise an exception since the labels don't match
+    if config:
+        if len(category_values) != config.model.nclasses:
             raise Exception(
-                "The classes set in the config are not the same as the one "
-                "found in the data. The classes present in the config vs the "
-                "ones found in the data - {set(category_value2id.keys())}, "
-                f"{category_values}. Additionally, ensure the populate the "
-                "'alternative_class_names' attribute to accommodate for "
-                "variations.")
-        updated_category_value2id = {}
-        for _class in category_value2id.keys():
-            if _class in category_values:
-                updated_category_value2id[_class] = category_value2id[_class]
-            else:
-                found_in = [sub_map for sub_map in alternative_class_names
-                            if _class in sub_map]
-                failed_to_find = False
-                if len(found_in) != 0:
-                    class_name_matched = [label for label in found_in[0]
-                                          if label in category_values]
-                    if len(class_name_matched) != 0:
-                        updated_category_value2id[class_name_matched[0]
-                                                  ] = category_value2id[_class]
-                        logger.info(
-                            "Class name '%s' does not exist in the data; "
-                            "however a variation of it '%s' is present; "
-                            "updating it...", _class, class_name_matched[0])
-                    else:
-                        failed_to_find = True
-                else:
-                    failed_to_find = True
-                if failed_to_find:
-                    raise Exception(
-                        "The classes set in the config are not the same as "
-                        "the one found in the data. The classes present in "
-                        "the config vs the ones found in the data - "
-                        f"{set(category_value2id.keys())}, {category_values}. "
-                        "Additionally, ensure the populate the "
-                        "'alternative_class_names' attribute to accommodate "
-                        "for variations.")
-        category_value2id = copy.deepcopy(updated_category_value2id)
-        logger.info("Updated categoryvalue2id mapping - %s", category_value2id)
+                "The number of classes found in the data - %s does not match "
+                "the number of classes defined in the config - %s "
+                "(config.model.nclasses). Please update the number of classes "
+                "and initialise the model again.", len(category_values),
+                config.model.nclasses)
+    # If categoryvalue2id is pre-defined or if all the classes aren't mentioned
+    if len(category_value2id) != 0:
+        # making sure it is same as the labels found in the data
+        if set(category_value2id.keys()) != category_values:
+            # if categoryvalue2id doesn't match the labels in the data,
+            # then 'alternative_class_names' has to be defined to check for
+            # variations
+            if len(alternative_class_names) == 0:
+                # Raise an exception since the labels don't match
+                raise Exception(
+                    "The classes set in the config are not the same as the "
+                    "one found in the data. The classes present in the config "
+                    "vs the ones found in the data - "
+                    f"{set(category_value2id.keys())}, {category_values}. "
+                    "Additionally, ensure the populate the "
+                    "'alternative_class_names' attribute to accommodate for "
+                    "variations.")
+
+            category_value2id = find_alternate_classname(
+                category_value2id, category_values, alternative_class_names)
+
     # Else create the mapping from the labels found in the data
-    else:
+    if len(category_value2id) != len(category_values):
         for c in category_values:
             if c not in category_value2id:
                 category_value2id[c] = len(category_value2id)
-        logger.info("Categoryvalue2id mapping created with labels found "
-                    "in the data - %s", category_value2id)
+        logger.info("Categoryvalue2id mapping created with labels found in "
+                    "the data - %s", category_value2id)
 
     # Map values to numbers
-    for i in range(len(data_list)):
-        data_list[i][2] = category_value2id[data_list[i][2]]
+    for i in range(len(data)):
+        # represented as a tuple so that we can type hint, but it's a list
+        data[i][2] = category_value2id[data[i][2]]  # type: ignore
 
     # Creating dict with labels and its number of samples
     label_data_ = {v: 0 for v in category_value2id.values()}
-    for i in range(len(data_list)):
-        if data_list[i][2] in category_value2id.values():
-            label_data_[data_list[i][2]] = label_data_[data_list[i][2]] + 1
+    for i in range(len(data)):
+        if data[i][2] in category_value2id.values():
+            label_data_[data[i][2]] = label_data_[data[i][2]] + 1
 
     logger.info("Original number of samples per label: %s", label_data_)
-    # Undersampling data
-    if category_undersample is None or category_undersample == '':
-        min_label = min(label_data_.values())
-
-    else:
-        if (category_undersample not in label_data_.keys() and
-                category_undersample in category_value2id.keys()):
-            min_label = label_data_[category_value2id[category_undersample]]
-        else:
-            min_label = label_data_[category_undersample]
 
     data_undersampled = []
-    label_data_counter = {v: 0 for v in category_value2id.values()}
-
-    for sample in data_list:
-        if label_data_counter[sample[-1]] < min_label:
-            data_undersampled.append(sample)
-            label_data_counter[sample[-1]] += 1
-
-    label_data = {v: 0 for v in category_value2id.values()}
-    for i in range(len(data_undersampled)):
-        if data_undersampled[i][2] in category_value2id.values():
-            label_data[data_undersampled[i][2]] = label_data[
-                data_undersampled[i][2]] + 1
-    logger.info("Updated number of samples per label (for 2-phase learning): "
-                "%s", label_data)
+    if config and config.model.phase_number != 0:
+        data_undersampled = undersample_data(
+            data, category_value2id, label_data_, config)
 
     return data_list, data_undersampled, category_value2id
diff --git a/medcat-v2/medcat/components/addons/meta_cat/meta_cat.py b/medcat-v2/medcat/components/addons/meta_cat/meta_cat.py
index caf13908f..5386a8dc1 100644
--- a/medcat-v2/medcat/components/addons/meta_cat/meta_cat.py
+++ b/medcat-v2/medcat/components/addons/meta_cat/meta_cat.py
@@ -5,6 +5,7 @@
 from multiprocessing import Lock
 from datetime import datetime
 from typing import Iterable, Optional, cast, Union, Any, TypedDict, Callable
+from typing import overload, Literal
 
 from medcat.utils.hasher import Hasher
 
@@ -14,7 +15,7 @@
 from medcat.config.config import ComponentConfig
 from medcat.config.config_meta_cat import ConfigMetaCAT
 from medcat.components.addons.meta_cat.ml_utils import (
-    predict, train_model, set_all_seeds, eval_model)
+    predict, train_model, set_all_seeds, eval_model, EvalModelResults)
 from medcat.components.addons.meta_cat.data_utils import (
     prepare_from_json, encode_category_values, prepare_for_oversampled_data)
 from medcat.components.addons.addons import AddonComponent
@@ -125,7 +126,7 @@ def __call__(self, doc: MutableDocument) -> MutableDocument:
     def load(self, folder_path: str) -> 'MetaCAT':
         mc_path, tokenizer_folder = self._get_meta_cat_and_tokenizer_paths(
             folder_path)
-        mc = cast(MetaCAT, deserialise(mc_path))
+        mc = cast(MetaCAT, deserialise(mc_path, save_dir_path=folder_path))
         mc.tokenizer = self._load_tokenizer(self.config, tokenizer_folder)
         return mc
 
@@ -150,6 +151,11 @@ def save(self, folder_path: str) -> None:
             raise MisconfiguredMetaCATException(
                 "Unable to save MetaCAT without a tokenizer")
         self.mc.tokenizer.save(tokenizer_folder)
+        if self.config.model.model_name == 'bert':
+            model_config_save_path = os.path.join(
+                folder_path, 'bert_config.json')
+            self._mc.model.bert_config.to_json_file(  # type: ignore
+                model_config_save_path)
 
     def _init_data_paths(self, base_tokenizer: BaseTokenizer):
         # a dictionary like {category_name: value, ...}
@@ -221,6 +227,8 @@ def deserialise_from(cls, folder_path: str, **init_kwargs
                 "Inferring config from file at '%s'", folder_path,
                 config_path)
             cnf = ConfigMetaCAT.load(config_path)
+        if 'model_config' in init_kwargs:
+            cnf.merge_config(init_kwargs['model_config'])
         if 'tokenizer' in init_kwargs:
             tokenizer = init_kwargs['tokenizer']
         else:
@@ -291,7 +299,7 @@ def get_init_attrs(cls) -> list[str]:
 
     @classmethod
     def ignore_attrs(cls) -> list[str]:
-        return ['model']
+        return ['model', 'save_dir_path']
 
     @classmethod
     def include_properties(cls) -> list[str]:
@@ -306,10 +314,12 @@ def __init__(self,
                  tokenizer: Optional[TokenizerWrapperBase] = None,
                  embeddings: Optional[Union[Tensor, numpy.ndarray]] = None,
                  config: Optional[ConfigMetaCAT] = None,
-                 _model_state_dict: Optional[dict[str, Any]] = None) -> None:
+                 _model_state_dict: Optional[dict[str, Any]] = None,
+                 save_dir_path: Optional[str] = None) -> None:
         if config is None:
             config = ConfigMetaCAT()
         self.config = config
+        self.save_dir_path = save_dir_path
         set_all_seeds(config.general.seed)
 
         self.tokenizer = tokenizer
@@ -353,7 +363,7 @@ def get_model(self, embeddings: Optional[Tensor]) -> nn.Module:
         elif config.model.model_name == 'bert':
             from medcat.components.addons.meta_cat.models import (
                 BertForMetaAnnotation)
-            model = BertForMetaAnnotation(config)
+            model = BertForMetaAnnotation(config, self.save_dir_path)
 
             if not config.model.model_freeze_layers:
                 peft_config = LoraConfig(
@@ -523,12 +533,13 @@ def train_raw(self, data_loaded: dict, save_dir_path: Optional[str] = None,
             prerequisites=t_config.prerequisites, lowercase=g_config.lowercase)
 
         # Check is the name present
-        category_name = category_name = g_config.get_applicable_category_name(
+        category_name = g_config.get_applicable_category_name(
             data_in)
         if category_name is None:
+            in_cat_name = g_config.category_name
             raise Exception(
                 "The category name does not exist in this json file. "
-                f"You've provided '{category_name}', while the possible "
+                f"You've provided '{in_cat_name}', while the possible "
                 f"options are: {' | '.join(list(data_in.keys()))}. "
                 "Additionally, ensure the populate the "
                 "'alternative_category_names' attribute to accommodate "
@@ -545,15 +556,14 @@ def train_raw(self, data_loaded: dict, save_dir_path: Optional[str] = None,
             # Encode the category values
             (full_data, data_undersampled,
              category_value2id) = encode_category_values(
-                 data,
-                 category_undersample=self.config.model.category_undersample,
+                 data, config=self.config,
                  alternative_class_names=g_config.alternative_class_names)
         else:
             # We already have everything, just get the data
             (full_data, data_undersampled,
              category_value2id) = encode_category_values(
                  data, existing_category_value2id=category_value2id,
-                 category_undersample=self.config.model.category_undersample,
+                 config=self.config,
                  alternative_class_names=g_config.alternative_class_names)
             g_config.category_value2id = category_value2id
             self.config.model.nclasses = len(category_value2id)
@@ -621,7 +631,7 @@ def train_raw(self, data_loaded: dict, save_dir_path: Optional[str] = None,
         self.config.train.last_train_on = datetime.now().timestamp()
         return report
 
-    def eval(self, json_path: str) -> dict:
+    def eval(self, json_path: str) -> EvalModelResults:
         """Evaluate from json.
 
         Args:
@@ -629,7 +639,7 @@ def eval(self, json_path: str) -> dict:
                 The json file ath
 
         Returns:
-            dict:
+            EvalModelResults:
                 The resulting model dict
 
         Raises:
@@ -717,10 +727,12 @@ def prepare_document(self, doc: MutableDocument, input_ids: list,
                 # Checking if we've reached at the start of the entity
                 if start <= pair[0] or start <= pair[1]:
                     if end <= pair[1]:
-                        ctoken_idx.append(ind)  # End reached
+                        # End reached; update for correct index
+                        ctoken_idx.append(last_ind + ind)
                         break
                     else:
-                        ctoken_idx.append(ind)  # Keep going
+                        # Keep going; update for correct index
+                        ctoken_idx.append(last_ind + ind)
 
             # Start where the last ent was found, cannot be before it as we've
             # sorted
@@ -851,6 +863,14 @@ def __call__(self, doc: MutableDocument) -> MutableDocument:
         self._set_meta_anns(doc, id2category_value)
         return doc
 
+    @overload
+    def get_model_card(self, as_dict: Literal[True]) -> dict:
+        pass
+
+    @overload
+    def get_model_card(self, as_dict: Literal[False]) -> str:
+        pass
+
     def get_model_card(self, as_dict: bool = False) -> Union[str, dict]:
         """A minimal model card.
 
diff --git a/medcat-v2/medcat/components/addons/meta_cat/ml_utils.py b/medcat-v2/medcat/components/addons/meta_cat/ml_utils.py
index 89b86adca..08cd701b1 100644
--- a/medcat-v2/medcat/components/addons/meta_cat/ml_utils.py
+++ b/medcat-v2/medcat/components/addons/meta_cat/ml_utils.py
@@ -6,7 +6,7 @@
 import numpy as np
 import pandas as pd
 import torch.optim as optim
-from typing import Optional, Any, Union
+from typing import Optional, Any, Union, TypedDict
 from torch import nn
 from scipy.special import softmax
 from medcat.config.config_meta_cat import ConfigMetaCAT
@@ -34,7 +34,9 @@ def set_all_seeds(seed: int) -> None:
 def create_batch_piped_data(data: list[tuple[list[int], int, Optional[int]]],
                             start_ind: int, end_ind: int,
                             device: Union[torch.device, str],
-                            pad_id: int) -> tuple:
+                            pad_id: int
+                            ) -> tuple[torch.Tensor, list[int],
+                                       torch.Tensor, Optional[torch.Tensor]]:
     """Creates a batch given data and start/end that denote batch size,
     will also add padding and move to the right device.
 
@@ -52,13 +54,13 @@ def create_batch_piped_data(data: list[tuple[list[int], int, Optional[int]]],
             Padding index
 
     Returns:
-        x ():
+        x (torch.Tensor):
             Same as data, but subsetted and as a tensor
-        cpos ():
+        cpos (list[int]):
             Center positions for the data
-        attention_mask:
+        attention_mask (torch.Tensor):
             Indicating padding mask for the data
-        y:
+        y (Optional[torch.Tensor]):
             class label of the data
     """
     max_seq_len = max([len(x[0]) for x in data])
@@ -78,7 +80,7 @@ class label of the data
 
 
 def predict(model: nn.Module, data: list[tuple[list[int], int, Optional[int]]],
-            config: ConfigMetaCAT) -> tuple:
+            config: ConfigMetaCAT) -> tuple[list[int], list[float]]:
     """Predict on data used in the meta_cat.pipe
 
     Args:
@@ -399,8 +401,17 @@ def initialize_model(classifier, data_, batch_size_, lr_, epochs=4):
     return winner_report
 
 
+EvalModelResults = TypedDict('EvalModelResults', {
+        "precision": float,
+        "recall": float,
+        "f1": float,
+        "examples": dict,
+        "confusion matrix": pd.DataFrame,
+    })
+
+
 def eval_model(model: nn.Module, data: list, config: ConfigMetaCAT,
-               tokenizer: TokenizerWrapperBase) -> dict:
+               tokenizer: TokenizerWrapperBase) -> EvalModelResults:
     """Evaluate a trained model on the provided data
 
     Args:
@@ -474,9 +485,22 @@ def eval_model(model: nn.Module, data: list, config: ConfigMetaCAT,
     examples: dict = {'FP': {}, 'FN': {}, 'TP': {}}
     id2category_value = {v: k for k, v
                          in config.general.category_value2id.items()}
+    return _eval_predictions(
+        tokenizer, data, predictions, confusion, id2category_value,
+        y_eval, precision, recall, f1, examples)
+
+
+def _eval_predictions(
+        tokenizer: TokenizerWrapperBase,
+        data: list,
+        predictions: list[int],
+        confusion: pd.DataFrame,
+        id2category_value: dict[int, str],
+        y_eval: list,
+        precision, recall, f1, examples: dict) -> EvalModelResults:
     for i, p in enumerate(predictions):
         y = id2category_value[y_eval[i]]
-        p = id2category_value[p]
+        pred = id2category_value[p]
         c = data[i][1]
         if isinstance(c, list):
             c = c[-1]
@@ -487,11 +511,11 @@ def eval_model(model: nn.Module, data: list, config: ConfigMetaCAT,
                 tokenizer.hf_tokenizers.decode(
                     tkns[c:c + 1]).strip() + ">> " +
                 tokenizer.hf_tokenizers.decode(tkns[c + 1:]))
-        info = "Predicted: {}, True: {}".format(p, y)
-        if p != y:
+        info = "Predicted: {}, True: {}".format(pred, y)
+        if pred != y:
             # We made a mistake
             examples['FN'][y] = examples['FN'].get(y, []) + [(info, text)]
-            examples['FP'][p] = examples['FP'].get(p, []) + [(info, text)]
+            examples['FP'][pred] = examples['FP'].get(pred, []) + [(info, text)]
         else:
             examples['TP'][y] = examples['TP'].get(y, []) + [(info, text)]
 
diff --git a/medcat-v2/medcat/components/addons/meta_cat/models.py b/medcat-v2/medcat/components/addons/meta_cat/models.py
index 0f6074db2..c1a417431 100644
--- a/medcat-v2/medcat/components/addons/meta_cat/models.py
+++ b/medcat-v2/medcat/components/addons/meta_cat/models.py
@@ -98,11 +98,26 @@ def forward(self,
 class BertForMetaAnnotation(nn.Module):
     _keys_to_ignore_on_load_unexpected: list[str] = [r"pooler"]  # type: ignore
 
-    def __init__(self, config: ConfigMetaCAT):
+    def __init__(self, config: ConfigMetaCAT,
+                 save_dir_path: Optional[str] = None):
         super(BertForMetaAnnotation, self).__init__()
-        _bertconfig = AutoConfig.from_pretrained(
-            config.model.model_variant,
-            num_hidden_layers=config.model.num_layers)
+        if save_dir_path:
+            try:
+                _bertconfig = AutoConfig.from_pretrained(
+                    save_dir_path + "/bert_config.json",
+                    num_hidden_layers=config.model.num_layers)
+            except Exception as e:
+                _bertconfig = AutoConfig.from_pretrained(
+                    config.model.model_variant,
+                    num_hidden_layers=config.model.num_layers)
+                logger.info("BERT config not found locally — "
+                            "downloaded successfully from Hugging Face.")
+                raise e
+        else:
+            _bertconfig = AutoConfig.from_pretrained(
+                config.model.model_variant,
+                num_hidden_layers=config.model.num_layers)
+
         if config.model.input_size != _bertconfig.hidden_size:
             logger.warning(
                 "Input size for %s model should be %d, provided input size is "
@@ -110,10 +125,28 @@ def __init__(self, config: ConfigMetaCAT):
                 _bertconfig.hidden_size, config.model.input_size,
                 _bertconfig.hidden_size)
 
-        bert = BertModel.from_pretrained(config.model.model_variant,
-                                         config=_bertconfig)
-        self.config = config
+        try:
+            bert = BertModel.from_pretrained(
+                config.model.model_variant,
+                config=_bertconfig)
+        except Exception as e:
+            bert = BertModel(_bertconfig)
+            if save_dir_path:
+                logger.info(
+                    "Could not load BERT pretrained weights from Hugging Face."
+                    " BERT model was loaded with random weights.\n"
+                    "This will work the weights will be loaded off disk.")
+            else:
+                logger.warning(
+                    "Could not load BERT pretrained weights from Hugging Face."
+                    " BERT model was loaded with random weights.\n"
+                    "DO NOT use this model without loading the model state!",
+                    exc_info=e)
+
+        self._config = config
         self.bert = bert
+        # NOTE: potentially used downstream
+        self.config = self.bert_config = _bertconfig
         self.num_labels = config.model.nclasses
         for param in self.bert.parameters():
             param.requires_grad = not config.model.model_freeze_layers
@@ -220,14 +253,14 @@ def forward(
         x = self.fc1(x)
         x = self.relu(x)
 
-        if self.config.model.model_architecture_config is not None:
-            if self.config.model.model_architecture_config['fc2'] is True:
+        if self._config.model.model_architecture_config is not None:
+            if self._config.model.model_architecture_config['fc2'] is True:
                 # fc2
                 x = self.fc2(x)
                 x = self.relu(x)
                 x = self.dropout(x)
 
-                if self.config.model.model_architecture_config['fc3'] is True:
+                if self._config.model.model_architecture_config['fc3'] is True:
                     # fc3
                     x = self.fc3(x)
                     x = self.relu(x)
diff --git a/medcat-v2/medcat/components/addons/relation_extraction/modernbert/tokenizer.py b/medcat-v2/medcat/components/addons/relation_extraction/modernbert/tokenizer.py
index 17bff1f41..1c1aac991 100644
--- a/medcat-v2/medcat/components/addons/relation_extraction/modernbert/tokenizer.py
+++ b/medcat-v2/medcat/components/addons/relation_extraction/modernbert/tokenizer.py
@@ -33,5 +33,5 @@ def load(cls, tokenizer_path: str, relcat_config: ConfigRelCAT, **kwargs
             relcat_config.general.model_name = (
                 cls.pretrained_model_name_or_path)
             tokenizer.hf_tokenizers = PreTrainedTokenizerFast.from_pretrained(
-                path=relcat_config.general.model_name)
+                relcat_config.general.model_name)
         return tokenizer
diff --git a/medcat-v2/medcat/components/linking/context_based_linker.py b/medcat-v2/medcat/components/linking/context_based_linker.py
index 7142a24fd..860258bb5 100644
--- a/medcat-v2/medcat/components/linking/context_based_linker.py
+++ b/medcat-v2/medcat/components/linking/context_based_linker.py
@@ -208,7 +208,7 @@ def __call__(self, doc: MutableDocument) -> MutableDocument:
 
         doc.ner_ents.clear()
         doc.ner_ents.extend(le)
-        create_main_ann(doc)
+        create_main_ann(doc, self.config.general.show_nested_entities)
 
         # TODO - reintroduce pretty labels? and apply here?
 
diff --git a/medcat-v2/medcat/components/linking/embedding_linker.py b/medcat-v2/medcat/components/linking/embedding_linker.py
new file mode 100644
index 000000000..1d67f0faa
--- /dev/null
+++ b/medcat-v2/medcat/components/linking/embedding_linker.py
@@ -0,0 +1,601 @@
+from medcat.cdb import CDB
+from medcat.config.config import Config, ComponentConfig, EmbeddingLinking
+from medcat.components.types import CoreComponentType, AbstractCoreComponent
+from medcat.tokenizing.tokens import MutableEntity, MutableDocument
+from medcat.tokenizing.tokenizers import BaseTokenizer
+from typing import Optional, Iterator, Set
+from medcat.vocab import Vocab
+from torch import Tensor
+from transformers import AutoTokenizer, AutoModel
+from medcat.utils.postprocessing import create_main_ann
+from tqdm import tqdm
+from collections import defaultdict
+import torch.nn.functional as F
+import torch
+import logging
+import math
+
+logger = logging.getLogger(__name__)
+
+
+class Linker(AbstractCoreComponent):
+    name = "embedding_linker"
+
+    def __init__(self, cdb: CDB, config: Config) -> None:
+        """Initializes the embedding linker with a CDB and configuration.
+        Args:
+            cdb (CDB): The concept database to use.
+            config (Config): The base config.
+        """
+        self.cdb = cdb
+        self.config = config
+        if not isinstance(config.components.linking, EmbeddingLinking):
+            raise TypeError("Linking config must be an EmbeddingLinking instance")
+        self.cnf_l: EmbeddingLinking = config.components.linking
+        self.max_length = self.cnf_l.max_token_length
+        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+        self._name_keys = list(self.cdb.name2info)
+        self._cui_keys = list(self.cdb.cui2info)
+
+        # these only need to be populated when called for embedding or inference
+        self._names_context_matrix = None
+        self._cui_context_matrix = None
+
+        # used for filters and name embedding, and if the name contains a valid cui 
+        # see: _set_filters
+        self._last_include_set: Optional[Set[str]] = None
+        self._last_exclude_set: Optional[Set[str]] = None
+        self._allowed_mask = None
+        self._name_has_allowed_cui = None
+
+        # checking for config settings that aren't used in this linker
+        if self.cnf_l.prefer_frequent_concepts:
+            logger.warning(
+                "linker_config.prefer_frequent_concepts is not used "
+                "in the embedding linker. It is currently set to "
+                f"{self.cnf_l.prefer_frequent_concepts}."
+            )
+
+        if self.cnf_l.prefer_primary_name:
+            logger.warning(
+                "linker_config.prefer_primary_name is not used "
+                "in the embedding linker. It is currently set to "
+                f"{self.cnf_l.prefer_primary_name}."
+            )
+
+        self._cui_to_idx = {cui: idx for idx, cui in enumerate(self._cui_keys)}
+        self._name_to_idx = {name: idx for idx, name in enumerate(self._name_keys)}
+        self._name_to_cui_idxs = [
+            [
+                self._cui_to_idx[cui]
+                for cui in self.cdb.name2info[name].get("per_cui_status", {}).keys()
+                if cui in self._cui_to_idx
+            ]
+            for name in self._name_keys
+        ]
+
+    def create_embeddings(self, 
+                          embedding_model_name: Optional[str] = None,
+                          max_length: Optional[int] = None,
+                          ):
+        """Create embeddings for all names and cuis longest names in the CDB 
+        using the chosen embedding model."""
+        if embedding_model_name is None:
+            embedding_model_name = self.cnf_l.embedding_model_name  # fallback
+            
+        if max_length is not None and max_length != self.max_length:
+            logger.info(
+            "Updating max_length from %s to %s", self.max_length, max_length
+            )
+            self.max_length = max_length
+            self.cnf_l.max_token_length = max_length
+        if (
+            embedding_model_name == self.cnf_l.embedding_model_name
+            and "cui_embeddings" in self.cdb.addl_info
+        ):
+            logger.warning("Using the same model for embedding names.")
+        else:
+            self.cnf_l.embedding_model_name = embedding_model_name
+        self._load_transformers(embedding_model_name)
+        self._embed_cui_names(embedding_model_name)
+        self._embed_names(embedding_model_name)
+
+    def _embed_cui_names(
+        self,
+        embedding_model_name: str,
+    ) -> None:
+        """Obtain embeddings for all cuis longest names in the CDB using the specified
+        embedding model and store them in the name2info.context_vectors
+        Args:
+            embedding_model_name (str): The name of the embedding model to use.
+            batch_size (int): The size of the batches to use when embedding names. 
+            Default 4096
+        """
+        if (
+            embedding_model_name == self.cnf_l.embedding_model_name
+            and "cui_embeddings" in self.cdb.addl_info
+            and "name_embeddings" in self.cdb.addl_info
+        ):
+            logger.warning("Using the same model for embedding.")
+        else:
+            self.cnf_l.embedding_model_name = embedding_model_name
+
+        # Use the longest name
+        cui_names = [
+            max(self.cdb.cui2info[cui]["names"], key=len) for cui in self._cui_keys
+        ]
+        # embed each name in batches. Because there can be 3+ million names
+        total_batches = math.ceil(len(cui_names) / self.cnf_l.embedding_batch_size)
+        all_embeddings = []
+        for names in tqdm(
+            self._batch_data(cui_names, self.cnf_l.embedding_batch_size),
+            total=total_batches,
+            desc="Embedding cuis' preferred names",
+        ):
+            with torch.no_grad():
+                # removing ~ from names, as it is used to indicate a space in the CDB
+                names_to_embed = [
+                    name.replace(self.config.general.separator, " ") for name in names
+                ]
+                embeddings = self._embed(names_to_embed, self.device)
+                all_embeddings.append(embeddings.cpu())
+        # cat all batches into one tensor
+        all_embeddings_matrix = torch.cat(all_embeddings, dim=0)
+        self.cdb.addl_info["cui_embeddings"] = all_embeddings_matrix
+        logger.debug("Embedding cui names done, total: %d", len(names))
+
+    def _embed_names(self, embedding_model_name: str) -> None:
+        """Obtain embeddings for all names in the CDB using the specified
+        embedding model and store them in the name2info.context_vectors
+        Args:
+            embedding_model_name (str): The name of the embedding model to use.
+            batch_size (int): The size of the batches to use when embedding names
+            Default 4096
+        """
+        if embedding_model_name == self.cnf_l.embedding_model_name:
+            logger.debug("Using the same model for embedding names.")
+        else:
+            self.cnf_l.embedding_model_name = embedding_model_name
+        names = self._name_keys
+        # embed each name in batches. Because there can be 3+ million names
+        total_batches = math.ceil(len(names) / self.cnf_l.embedding_batch_size)
+        all_embeddings = []
+        for names in tqdm(
+            self._batch_data(names, self.cnf_l.embedding_batch_size),
+            total=total_batches,
+            desc="Embedding names",
+        ):
+            with torch.no_grad():
+                # removing ~ from names, as it is used to indicate a space in the CDB
+                names_to_embed = [
+                    name.replace(self.config.general.separator, " ") for name in names
+                ]
+                embeddings = self._embed(names_to_embed, self.device)
+                all_embeddings.append(embeddings.cpu())
+        all_embeddings_matrix = torch.cat(all_embeddings, dim=0)
+        self.cdb.addl_info["name_embeddings"] = all_embeddings_matrix
+        logger.debug("Embedding names done, total: %d", len(names))
+
+    def get_type(self) -> CoreComponentType:
+        return CoreComponentType.linking
+
+    def _batch_data(self, data, batch_size=512) -> Iterator[list]:
+        for i in range(0, len(data), batch_size):
+            yield data[i : i + batch_size]
+
+    def _load_transformers(self, embedding_model_name: str) -> None:
+        """Load the transformers model and tokenizer.
+        No need to load a transformer model until it's required.
+        Args:
+            embedding_model_name (str): The name of the embedding model to load. 
+            Default is "sentence-transformers/all-MiniLM-L6-v2"
+        """
+        if (
+            not hasattr(self, "model")
+            or not hasattr(self, "tokenizer")
+            or embedding_model_name != self.cnf_l.embedding_model_name
+        ):
+            self.cnf_l.embedding_model_name = embedding_model_name
+            self.tokenizer = AutoTokenizer.from_pretrained(embedding_model_name)
+            self.model = AutoModel.from_pretrained(embedding_model_name)
+            self.model.eval()
+            gpu_device = self.cnf_l.gpu_device
+            self.device = torch.device(
+                gpu_device or ("cuda" if torch.cuda.is_available() else "cpu")
+            )
+            self.model.to(self.device)
+            logger.debug(
+                f"""Loaded embedding model: {embedding_model_name} 
+                on device: {self.device}"""
+            )
+
+    def _embed(self, to_embed: list[str], device) -> Tensor:
+        """Embeds a list of strings"""
+        batch_dict = self.tokenizer(
+            to_embed,
+            max_length=self.max_length,
+            padding=True,
+            truncation=True,
+            return_tensors="pt",
+        ).to(device)
+        outputs = self.model(**batch_dict)
+        outputs = self._last_token_pool(
+            outputs.last_hidden_state, batch_dict["attention_mask"]
+        )
+        outputs = F.normalize(outputs, p=2, dim=1)
+        return outputs.half()
+
+    def _get_context(
+        self, entity: MutableEntity, doc: MutableDocument, size: int
+    ) -> str:
+        """Get context tokens for an entity
+
+        Args:
+            entity (BaseEntity): The entity to look for.
+            doc (BaseDocument): The document look in.
+            size (int): The size of the entity.
+
+        Returns:
+            tuple[list[BaseToken], list[BaseToken], list[BaseToken]]:
+                The tokens on the left, centre, and right.
+        """
+        start_ind = entity.base.start_index
+        end_ind = entity.base.end_index
+
+        left_most_token = doc[max(0, start_ind - size)]
+        left_index = left_most_token.base.char_index
+
+        right_most_token = doc[min(len(doc) - 1, end_ind + size)]
+        right_index = right_most_token.base.char_index + len(right_most_token.base.text)
+
+        snippet = doc.base.text[left_index:right_index]
+        return snippet
+
+    def _get_context_vectors(
+        self, doc: MutableDocument, entities: list[MutableEntity], size: int
+    ) -> Tensor:
+        """Get context vectors for all detected concepts based on their 
+        surrounding text.
+
+        Args:
+            doc (BaseDocument): The document look in.
+            size (int): The size of the entity.
+        Returns:
+            tuple[list[BaseToken], list[BaseToken], list[BaseToken]]:
+                The tokens on the left, centre, and right."""
+        texts = []
+        for entity in entities:
+            text = self._get_context(entity, doc, size)
+            texts.append(text)
+        return self._embed(texts, self.device)
+
+    def _set_filters(self) -> None:
+        include_set = self.cnf_l.filters.cuis
+        exclude_set = self.cnf_l.filters.cuis_exclude
+
+        # Check if sets changed (avoid recomputation if same)
+        if (
+            self._last_include_set is not None
+            and self._last_exclude_set is not None
+            and include_set == self._last_include_set
+            and exclude_set == self._last_exclude_set
+        ):
+            return
+
+        n = len(self._name_keys)
+        allowed_mask = torch.empty(n, dtype=torch.bool, device=self.device)
+
+        if include_set:
+            # if in include set, ignore exclude set.
+            allowed_mask[:] = False
+            include_cui_idxs = {
+                self._cui_to_idx[cui] for cui in include_set if cui in self._cui_to_idx
+            }
+            include_idxs = [
+                name_idx
+                for name_idx, name_cui_idxs in enumerate(self._name_to_cui_idxs)
+                if any(cui in include_cui_idxs for cui in name_cui_idxs)
+            ]
+            allowed_mask[
+                torch.tensor(include_idxs, dtype=torch.long, device=self.device)
+            ] = True
+        else:
+            # only look at exclude if there's no include set
+            allowed_mask[:] = True
+            if exclude_set:
+                exclude_cui_idxs = {
+                    self._cui_to_idx[cui]
+                    for cui in exclude_set
+                    if cui in self._cui_to_idx
+                }
+                exclude_idxs = [
+                    i
+                    for i, name_cui_idxs in enumerate(self._name_to_cui_idxs)
+                    if any(ci in exclude_cui_idxs for ci in name_cui_idxs)
+                ]
+                allowed_mask[
+                    torch.tensor(exclude_idxs, dtype=torch.long, device=self.device)
+                ] = False
+
+        # checking if a name has at least 1 cui related to it.
+        _has_cuis_all = torch.tensor(
+            [
+                bool(self.cdb.name2info[name]["per_cui_status"])
+                for name in self._name_keys
+            ],
+            device=self.device,
+            dtype=torch.bool,
+        )
+        self._valid_names = _has_cuis_all & allowed_mask
+        self._last_include_set = set(include_set) if include_set is not None else None
+        self._last_exclude_set = set(exclude_set) if exclude_set is not None else None
+
+
+    def _disambiguate_by_cui(
+        self, cui_candidates: list[str], scores: Tensor
+    ) -> tuple[str, float]:
+        """Disambiguate a detected concept by a list of potential cuis
+        Args:
+            cuis (list[str]): Potential cuis
+            cui_to_idx (dict[str, int]): Mapping of cui to relevant idx position
+            scores (Tensor): Scores for the detected cui2info concepts similarity
+            cui_keys (list[str]): idx_to_cui inverse
+        Returns:
+            tuple[str, float]:
+                The CUI and its similarity
+        """
+        cui_idxs = [self._cui_to_idx[cui] for cui in cui_candidates]
+        candidate_scores = scores[cui_idxs]
+        candidate_idx = int(torch.argmax(candidate_scores).item())
+        best_idx = cui_idxs[candidate_idx]
+
+        predicted_cui = self._cui_keys[best_idx]
+        similarity = float(candidate_scores[candidate_idx].item())
+        return predicted_cui, similarity
+
+    def _inference(
+        self, doc: MutableDocument, entities: list[MutableEntity]
+    ) -> Iterator[MutableEntity]:
+        """Infer all entities at once (or in batches), to avoid multiple gpu calls
+        when it isn't nessescary.
+        Args:
+            doc (BaseDocument): The document look in.
+            entities (list[BaseEntity]): The entities to infer.
+        Yields:
+            entity (MutableEntity): Entity with a relevant cui prediction -
+            or skip if it's not suitable."""
+        detected_context_vectors = self._get_context_vectors(
+            doc, entities, self.cnf_l.context_window_size
+        )
+
+        # score all detected contexts vs all names
+        names_scores = detected_context_vectors @ self.names_context_matrix.T
+        cui_scores = detected_context_vectors @ self.cui_context_matrix.T
+        sorted_indices = torch.argsort(names_scores, dim=1, descending=True)
+
+        for i, entity in enumerate(entities):
+            link_candidates = entity.link_candidates
+            if self.config.components.linking.filter_before_disamb:
+                link_candidates = [
+                    cui
+                    for cui in link_candidates
+                    if self.cnf_l.filters.check_filters(cui)
+                ]
+            if len(link_candidates) == 1:
+                best_idx = self._cui_to_idx[link_candidates[0]]
+                predicted_cui = link_candidates[0]
+                similarity = names_scores[i, best_idx].item()
+            elif len(link_candidates) > 1:
+                name_to_cuis = defaultdict(list)
+                for cui in link_candidates:
+                    for name in self.cdb.cui2info[cui]["names"]:
+                        name_to_cuis[name].append(cui)
+
+                name_idxs = [self._name_to_idx[name] for name in name_to_cuis]
+                indexed_scores = names_scores[i, name_idxs]
+
+                best_local_pos = int(torch.argmax(indexed_scores).item())
+                best_global_idx = name_idxs[best_local_pos]
+                similarity = names_scores[i, best_global_idx].item()
+                best_name = self._name_keys[best_global_idx]
+                cuis = name_to_cuis[best_name]
+                if len(cuis) == 1:
+                    predicted_cui = cuis[0]
+                else:
+                    predicted_cui, _ = self._disambiguate_by_cui(cuis, cui_scores[i, :])
+            else:
+                row_sorted = sorted_indices[i]  # sorted candidate indices for entity i
+
+                # Find the first candidate in this row with CUIs
+                first_true_pos = int(
+                    torch.nonzero(self._valid_names[row_sorted], as_tuple=True)[0][
+                        0
+                    ].item()
+                )
+
+                # Get global index + name
+                top_name_idx = int(row_sorted[first_true_pos].item())
+                similarity = names_scores[i, top_name_idx].item()
+                detected_name = self._name_keys[top_name_idx]
+                cuis = list(self.cdb.name2info[detected_name]["per_cui_status"].keys())
+
+                predicted_cui, _ = self._disambiguate_by_cui(cuis, cui_scores[i, :])
+            if not self.cnf_l.filters.check_filters(predicted_cui):
+                continue
+            if self._check_similarity(
+                similarity
+            ):
+                entity.cui = predicted_cui
+                entity.context_similarity = similarity
+                yield entity
+
+    def _check_similarity(self, context_similarity: float) -> bool:
+        if self.cnf_l.long_similarity_threshold:
+            threshold = self.cnf_l.long_similarity_threshold
+            return context_similarity >= threshold
+        else:
+            return True
+
+    def _last_token_pool(
+        self, last_hidden_states: Tensor, attention_mask: Tensor
+    ) -> Tensor:
+        left_padding = attention_mask[:, -1].sum() == attention_mask.shape[0]
+        if left_padding:
+            return last_hidden_states[:, -1]
+        else:
+            sequence_lengths = attention_mask.sum(dim=1) - 1
+            batch_size = last_hidden_states.shape[0]
+            return last_hidden_states[
+                torch.arange(batch_size, device=last_hidden_states.device),
+                sequence_lengths,
+            ]
+
+    def _build_context_matrices(self) -> None:
+        if "name_embeddings" in self.cdb.addl_info:
+            self._names_context_matrix = (
+                self.cdb.addl_info["name_embeddings"].half().to(self.device)
+            )
+        if "cui_embeddings" in self.cdb.addl_info:
+            self._cui_context_matrix = (
+                self.cdb.addl_info["cui_embeddings"].half().to(self.device)
+            )
+
+    def _generate_link_candidates(
+        self, doc: MutableDocument, entities: list[MutableEntity]
+    ) -> None:
+        """Generate link candidates for each detected entity based
+        on context vectors with size 0. Compare to names to get the most
+        similar name in the cdb to the detected concept."""
+        detected_context_vectors = self._get_context_vectors(doc, entities, 0)
+
+        # score all detected contexts vs all names
+        names_scores = detected_context_vectors @ self.names_context_matrix.T
+        sorted_indices = torch.argsort(names_scores, dim=1, descending=True)
+
+        for i, entity in enumerate(entities):
+            row_sorted = sorted_indices[i]
+            cuis: set[str] = set()
+
+            # scores for this entity row
+            row_scores = names_scores[i, row_sorted]
+            # valid names via filtering and contain at least 1 cui
+            valid_mask = self._valid_names[row_sorted]
+
+            if self.cnf_l.short_similarity_threshold > 0:
+                # thresholded selection
+                above_thresh_mask = row_scores >= self.cnf_l.short_similarity_threshold
+                selected_mask = valid_mask & above_thresh_mask
+                valid_positions = torch.nonzero(selected_mask, as_tuple=True)[0]
+            else:
+                # just take the single best valid candidate
+                first_valid = torch.nonzero(valid_mask, as_tuple=True)[0][:1]
+                valid_positions = first_valid
+
+            for pos in valid_positions.tolist():
+                top_name_idx = int(row_sorted[pos].item())
+                detected_name = self._name_keys[top_name_idx]
+                cuis.update(self.cdb.name2info[detected_name]["per_cui_status"].keys())
+
+            entity.link_candidates = list(cuis)
+
+    def _pre_inference(self, doc: MutableDocument) -> tuple[list, list]:
+        """Checking all entities for entites with only a single link candidate and to
+        avoid full inference step. If we want to calculate similarities, or not use
+        link candidates then just return the entities"""
+        all_ents = doc.ner_ents
+        if not self.cnf_l.use_ner_link_candidates:
+            to_generate_link_candidates = all_ents
+        else:
+            to_generate_link_candidates = [
+                entity for entity in all_ents if not entity.link_candidates
+            ]
+
+        # generate our own link candidates if it's required, or wanted
+        for entities in self._batch_data(
+            to_generate_link_candidates, self.cnf_l.linking_batch_size
+        ):
+            self._generate_link_candidates(doc, entities)
+
+        # filter out entities with no link candidates after thresholding
+        filtered_ents = [ent for ent in all_ents if ent.link_candidates]
+
+        if self.cnf_l.always_calculate_similarity:
+            return [], filtered_ents
+
+        le = []
+        to_infer = []
+        for entity in all_ents:
+            if len(entity.link_candidates) == 1:
+                # if the include filter exists and the only cui is in it
+                if self.cnf_l.filters.check_filters(entity.link_candidates[0]):
+                    entity.cui = entity.link_candidates[0]
+                    entity.context_similarity = 1
+                    le.append(entity)
+                    continue
+            elif self.cnf_l.use_ner_link_candidates:
+                continue
+            # it has to be inferred due to filters or number of link candidates
+            to_infer.append(entity)
+        return le, to_infer
+
+    def __call__(self, doc: MutableDocument) -> MutableDocument:
+        # Reset main entities, will be recreated later
+        doc.linked_ents.clear()
+
+        if self.cdb.is_dirty:
+            logging.warning(
+                "CDB has been modified since last save/load. "
+                "This might significantly affect linking performance."
+            )
+            logging.warning(
+                "If you have added new concepts or changes, "
+                "please re-embed the CDB names and cuis before linking."
+            )
+
+        self._load_transformers(self.cnf_l.embedding_model_name)
+        if self.cnf_l.train:
+            logger.warning(
+                "Attemping to train an embedding linker. This is not required."
+            )
+        if self.cnf_l.filters.cuis and self.cnf_l.filters.cuis_exclude:
+            logger.warning(
+                "You have both include and exclude filters for CUIs set. "
+                "This will result in only include CUIs being filtered."
+            )
+
+        self._set_filters()
+
+        with torch.no_grad():
+            le, to_infer = self._pre_inference(doc)
+            for entities in self._batch_data(to_infer, self.cnf_l.linking_batch_size):
+                le.extend(list(self._inference(doc, entities)))
+
+        doc.ner_ents.clear()
+        doc.ner_ents.extend(le)
+        create_main_ann(doc)
+
+        return doc
+
+    @property
+    def names_context_matrix(self):
+        if self._names_context_matrix is None:
+            self._build_context_matrices()
+        return self._names_context_matrix
+
+    @property
+    def cui_context_matrix(self):
+        if self._cui_context_matrix is None:
+            self._build_context_matrices()
+        return self._cui_context_matrix
+
+    @classmethod
+    def create_new_component(
+        cls,
+        cnf: ComponentConfig,
+        tokenizer: BaseTokenizer,
+        cdb: CDB,
+        vocab: Vocab,
+        model_load_path: Optional[str],
+    ) -> "Linker":
+        return cls(cdb, cdb.config)
diff --git a/medcat-v2/medcat/components/ner/dict_based_ner.py b/medcat-v2/medcat/components/ner/dict_based_ner.py
index 83a041e9d..463c62201 100644
--- a/medcat-v2/medcat/components/ner/dict_based_ner.py
+++ b/medcat-v2/medcat/components/ner/dict_based_ner.py
@@ -9,17 +9,17 @@
 from medcat.vocab import Vocab
 from medcat.cdb import CDB
 from medcat.config.config import ComponentConfig
-
-from ahocorasick import Automaton
 import medcat
 
 
 # NOTE: the _ is converted to - automatically
 _EXTRA_NAME = "dict-ner"
 
-
+# NOTE: need to do this before below import for more useful error
 ensure_optional_extras_installed(medcat.__name__, _EXTRA_NAME)
 
+from ahocorasick import Automaton # noqa
+
 
 logger = logging.getLogger(__name__)
 
diff --git a/medcat-v2/medcat/components/ner/trf/deid.py b/medcat-v2/medcat/components/ner/trf/deid.py
index d4fd648fd..8a9e328a9 100644
--- a/medcat-v2/medcat/components/ner/trf/deid.py
+++ b/medcat-v2/medcat/components/ner/trf/deid.py
@@ -37,6 +37,7 @@
 from typing import Union, Any, Optional, Iterable
 import re
 import logging
+import warnings
 
 from medcat.cat import CAT
 from medcat.cdb.cdb import CDB
@@ -94,6 +95,16 @@ def deid_text(self, text: str, redact: bool = False) -> str:
 
     def deid_multi_text(self, texts: Iterable[str], redact: bool = False,
                         n_process: Optional[int] = None) -> list[str]:
+        warnings.warn(
+            "deid_multi_text() is deprecated and will be removed in a "
+            "future release. Use deid_multi_texts() instead.",
+            DeprecationWarning,
+            stacklevel=2
+        )
+        return self.deid_multi_texts(texts, redact, n_process)
+
+    def deid_multi_texts(self, texts: Iterable[str], redact: bool = False,
+                         n_process: Optional[int] = None) -> list[str]:
         if n_process is None:
             n_process = 1
 
diff --git a/medcat-v2/medcat/components/types.py b/medcat-v2/medcat/components/types.py
index 77c53c8ed..e2c28706d 100644
--- a/medcat-v2/medcat/components/types.py
+++ b/medcat-v2/medcat/components/types.py
@@ -135,7 +135,10 @@ def train(self, cui: str,
                   "NoActionLinker.create_new_component"),
     "medcat2_two_step_linker": (
         "medcat.components.linking.two_step_context_based_linker",
-        "TwoStepLinker.create_new_component")
+        "TwoStepLinker.create_new_component"),
+    "medcat2_embedding_linker": (
+        "medcat.components.linking.embedding_linker",
+        "Linker.create_new_component"),
 }
 
 
diff --git a/medcat-v2/medcat/config/__init__.py b/medcat-v2/medcat/config/__init__.py
index b1af2d665..6b8a09fcb 100644
--- a/medcat-v2/medcat/config/__init__.py
+++ b/medcat-v2/medcat/config/__init__.py
@@ -1,3 +1,9 @@
-from .config import Config
+from .config import (
+    Config, Ner, CDBMaker, Linking, LinkingFilters, ModelMeta,
+    TrainingDescriptor, Components, AnnotationOutput, Preprocessing,
+    UsageMonitor, NLPConfig)
 
-__all__ = ['Config', ]
+__all__ = [
+    'Config', 'Ner', 'CDBMaker', 'Linking', 'LinkingFilters', 'ModelMeta',
+    'TrainingDescriptor', 'Components', 'AnnotationOutput', 'Preprocessing',
+    'UsageMonitor', 'NLPConfig']
diff --git a/medcat-v2/medcat/config/config.py b/medcat-v2/medcat/config/config.py
index 6f21bad0c..f10f84d73 100644
--- a/medcat-v2/medcat/config/config.py
+++ b/medcat-v2/medcat/config/config.py
@@ -1,13 +1,13 @@
 import os
 from typing import (Optional, Iterator, Iterable, TypeVar, cast, Type, Any,
-                    Literal)
+                    Literal, Union)
 from typing import Protocol, runtime_checkable
 from typing_extensions import Self
 import logging
 from datetime import datetime
 from contextlib import contextmanager
 
-from pydantic import BaseModel, Field, ValidationError
+from pydantic import BaseModel, Field, ValidationError, ConfigDict
 
 from medcat import __version__ as medcat_version
 from medcat.utils.defaults import workers
@@ -93,7 +93,8 @@ def load(cls, path: str) -> Self:
             return cast(Self, get_config_from_old_per_cls(path, cls))
         obj = deserialise(path)
         if not isinstance(obj, cls):
-            raise ValueError(f"The path '{path}' is not a {cls.__name__}!")
+            raise ValueError(f"The path '{path}' is not a {cls.__name__}!" +
+                             str(("Instead of", cls, "Got", type(obj))))
         return obj
 
 
@@ -178,9 +179,10 @@ class NLPConfig(SerialisableBaseModel):
     # NOTE: this will allow for more config entries
     #       since we don't know what other implementations may require
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
 
 class UsageMonitor(SerialisableBaseModel):
@@ -252,14 +254,25 @@ class General(SerialisableBaseModel):
     map_cui_to_group: bool = False
     """If the cdb.addl_info['cui2group'] is provided and this option enabled,
     each CUI will be mapped to the group"""
-    simple_hash: bool = False
-    """Whether to use a simple hash.
+    map_to_other_ontologies: Union[Literal["auto"], list[str]] = "auto"
+    """Which other ontologies to map to if possible.
 
-    NOTE: While using a simple hash is faster at save time, it is less
-    reliable due to not taking into account all the details of the changes."""
+    This will force medcat to include mapping for other ontologies in
+    its outputs. It will use the mappings in `cdb.addl_info["cui2<ont>"]`
+    are present.
 
-    class Config:
-        extra = 'allow'
+    If set to "auto" (or missing), the value will be inferred from available
+    data at first init time. That is to say, it'll map to all ontologies
+    available.
+
+    NB!
+    This will only work if the `cdb.addl_info["cui2<ont>"]` exists.
+    Otherwise, no mapping will be done.
+    """
+
+    model_config = ConfigDict(
+        extra='allow',
+    )
 
 
 class LinkingFilters(SerialisableBaseModel):
@@ -373,9 +386,53 @@ class Linking(ComponentConfig):
     and learning rate for type contexts.
     """
 
-    class Config:
-        extra = 'allow'
+    model_config = ConfigDict(
+        extra='allow',
+    )
 
+class EmbeddingLinking(Linking):
+    """The config exclusively used for the embedding linker"""
+    comp_name: str = "embedding_linker"
+    """Changing compoenent name"""
+    filter_before_disamb: bool = False
+    """Filtering CUIs before disambiguation"""
+    train: bool = False
+    """The embedding linker never needs to be trained in its 
+    current implementation."""
+    long_similarity_threshold: float = 0.0
+    """Used in the inference step to choose the best CUI given the
+    link candidates. Testing shows a threshold of 0.7 increases precision
+    with minimal impact on recall. Default is 0.0 which assumes
+    all entities detected by the NER step are true."""
+    short_similarity_threshold: float = 0.0
+    """Used for generating cui candidates. If a threshold of 0.0
+    is selected then only the highest scoring name will provide cuis
+    to be link candidates. Use a threshold of 0.95 or higher, as this is
+    essentailly string matching and account for spelling errors. Lower 
+    thresholds will provide too many candidates and slow down the inference."""
+    embedding_model_name: str = "sentence-transformers/all-MiniLM-L6-v2"
+    """Name of the embedding model. It must be downloadable from 
+    huggingface linked from an appropriate file directory"""
+    max_token_length: int = 64
+    """Max number of tokens to be embedded from a name.
+    If the max token length is changed then the linker will need to be created
+    with a new config.
+    """
+    embedding_batch_size: int = 4096
+    """How many pieces names can be embedded at once, useful when 
+    embedding name2info names, cui2info names"""
+    linking_batch_size: int = 512
+    """How many entities to be linked at once"""
+    gpu_device: Optional[Any] = None
+    """Choose a device for the linking model to be stored. If None
+    then an appropriate GPU device that is available will be chosen"""
+    context_window_size: int = 14
+    """Choose the window size to get context vectors."""
+    use_ner_link_candidates: bool = True
+    """Link candidates are provided by some NER steps. This will flag if 
+    you want to trust them or not."""
+    use_similarity_threshold: bool = True
+    """Do we have a similarity threshold we care about?"""
 
 class Preprocessing(SerialisableBaseModel):
     """The preprocessing part of the config"""
@@ -445,8 +502,9 @@ class Ner(ComponentConfig):
     custom_cnf: Optional[Any] = None
     """The custom config for the component."""
 
-    class Config:
-        extra = 'allow'
+    model_config = ConfigDict(
+        extra='allow',
+    )
 
 
 class AnnotationOutput(SerialisableBaseModel):
diff --git a/medcat-v2/medcat/config/config_meta_cat.py b/medcat-v2/medcat/config/config_meta_cat.py
index e22f306fb..5fcb1a7b4 100644
--- a/medcat-v2/medcat/config/config_meta_cat.py
+++ b/medcat-v2/medcat/config/config_meta_cat.py
@@ -1,6 +1,8 @@
 from typing import Any, Optional
 from collections.abc import Container
 
+from pydantic import ConfigDict
+
 from medcat.config.config import DirtiableBaseModel, ComponentConfig
 from medcat.storage.serialisers import AvailableSerialisers
 
@@ -116,9 +118,10 @@ def get_applicable_category_name(
             return self.category_name
         return None
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
 
 class Model(DirtiableBaseModel):
@@ -236,10 +239,11 @@ class Model(DirtiableBaseModel):
     """If set to True center positions will be ignored when calculating
     representation"""
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
-        protected_namespaces = ()
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+        protected_namespaces=(),
+    )
 
 
 class Train(DirtiableBaseModel):
@@ -277,9 +281,10 @@ class Train(DirtiableBaseModel):
     """Focal Loss hyperparameter - determines importance the loss gives to
     hard-to-classify examples"""
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
 
 class ConfigMetaCAT(ComponentConfig):
@@ -289,6 +294,7 @@ class ConfigMetaCAT(ComponentConfig):
     model: Model = Model()
     train: Train = Train()
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
diff --git a/medcat-v2/medcat/config/config_rel_cat.py b/medcat-v2/medcat/config/config_rel_cat.py
index 34c90b3d9..3f020fcd8 100644
--- a/medcat-v2/medcat/config/config_rel_cat.py
+++ b/medcat-v2/medcat/config/config_rel_cat.py
@@ -2,6 +2,8 @@
 import logging
 from typing import Any, Union, Optional
 
+from pydantic import ConfigDict
+
 from medcat.config.config import SerialisableBaseModel, ComponentConfig
 from medcat.storage.serialisers import deserialise
 
@@ -118,8 +120,9 @@ def __setattr__(self, key: str, value: Any):
             value = self.convert_keys_to_int(value)  # Ensure conversion
         super().__setattr__(key, value)
 
-    class Config:
-        protected_namespaces = ()
+    model_config = ConfigDict(
+        protected_namespaces=(),
+    )
 
 
 class Model(SerialisableBaseModel):
@@ -159,10 +162,11 @@ class Model(SerialisableBaseModel):
     """If set to True, used only in Llama model, it will add the extra tensor
     formed from selecting the max of the last hidden layer"""
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
-        protected_namespaces = ()
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+        protected_namespaces=(),
+    )
 
 
 class Train(SerialisableBaseModel):
@@ -205,9 +209,10 @@ class Train(SerialisableBaseModel):
     auto_save_model: bool = True
     """Should the model be saved during training for best results"""
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
 
 class ConfigRelCAT(ComponentConfig):
@@ -216,9 +221,10 @@ class ConfigRelCAT(ComponentConfig):
     model: Model = Model()
     train: Train = Train()
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
     @classmethod
     def load(cls, load_path: str = "./") -> "ConfigRelCAT":
diff --git a/medcat-v2/medcat/config/config_transformers_ner.py b/medcat-v2/medcat/config/config_transformers_ner.py
index 03e65b9b4..596cb7b86 100644
--- a/medcat-v2/medcat/config/config_transformers_ner.py
+++ b/medcat-v2/medcat/config/config_transformers_ner.py
@@ -1,5 +1,7 @@
 from typing import Optional
 
+from pydantic import ConfigDict
+
 from medcat.config.config import SerialisableBaseModel
 from medcat.utils.hasher import Hasher
 
@@ -22,19 +24,21 @@ class General(SerialisableBaseModel):
     last_train_on: Optional[float] = None
     verbose_metrics: bool = False
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
-        protected_namespaces = ()
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+        protected_namespaces=(),
+    )
 
 
 class ConfigTransformersNER(SerialisableBaseModel):
     """The transformer NER config"""
     general: General = General()
 
-    class Config:
-        extra = 'allow'
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra='allow',
+        validate_assignment=True,
+    )
 
     def get_hash(self, hasher: Optional[Hasher] = None) -> str:
         if hasher is None:
diff --git a/medcat-v2/medcat/data/mctexport.py b/medcat-v2/medcat/data/mctexport.py
index 7bbca9645..d84342c1d 100644
--- a/medcat-v2/medcat/data/mctexport.py
+++ b/medcat-v2/medcat/data/mctexport.py
@@ -10,10 +10,18 @@ class MedCATTrainerExportAnnotationRequired(TypedDict):
     value: str
 
 
+class MetaAnnotation(TypedDict):
+    name: str
+    value: str
+    acc: float
+    validated: bool
+
+
 class MedCATTrainerExportAnnotation(
         MedCATTrainerExportAnnotationRequired, total=False):
     id: Union[str, int]
     validated: Optional[bool]
+    meta_anns: Union[list[MetaAnnotation], dict[str, MetaAnnotation]]
 
 
 class MedCATTrainerExportDocument(TypedDict):
diff --git a/medcat-v2/medcat/data/model_card.py b/medcat-v2/medcat/data/model_card.py
index 1e0f261ad..7867be877 100644
--- a/medcat-v2/medcat/data/model_card.py
+++ b/medcat-v2/medcat/data/model_card.py
@@ -23,7 +23,7 @@
         'Description': str,
         'Source Ontology': list[str],
         'Location': str,
-        'MetaCAT models': list[str],
+        'MetaCAT models': list[dict],
         'Basic CDB Stats': CDBInfo,
         'Performance': dict[str, Any],
         ('Important Parameters '
diff --git a/medcat-v2/medcat/model_creation/cdb_maker.py b/medcat-v2/medcat/model_creation/cdb_maker.py
index 2ee6cd23d..7aef5eab4 100644
--- a/medcat-v2/medcat/model_creation/cdb_maker.py
+++ b/medcat-v2/medcat/model_creation/cdb_maker.py
@@ -5,7 +5,7 @@
 import re
 from typing import Optional, Union, Any
 
-from medcat.pipeline.pipeline import Pipeline
+from medcat.pipeline import Pipeline
 from medcat.cdb import CDB
 from medcat.config import Config
 from medcat.preprocessors.cleaners import prepare_name
diff --git a/medcat-v2/medcat/pipeline/__init__.py b/medcat-v2/medcat/pipeline/__init__.py
index e69de29bb..08f1fdd85 100644
--- a/medcat-v2/medcat/pipeline/__init__.py
+++ b/medcat-v2/medcat/pipeline/__init__.py
@@ -0,0 +1,4 @@
+from .pipeline import Pipeline
+
+
+__all__ = ['Pipeline']
diff --git a/medcat-v2/medcat/pipeline/pipeline.py b/medcat-v2/medcat/pipeline/pipeline.py
index 12f3b430c..e4a00b15a 100644
--- a/medcat-v2/medcat/pipeline/pipeline.py
+++ b/medcat-v2/medcat/pipeline/pipeline.py
@@ -72,7 +72,8 @@ class Pipeline:
     def __init__(self, cdb: CDB, vocab: Optional[Vocab],
                  model_load_path: Optional[str],
                  # NOTE: upon reload, old pipe can be useful
-                 old_pipe: Optional['Pipeline'] = None):
+                 old_pipe: Optional['Pipeline'] = None,
+                 addon_config_dict: Optional[dict[str, dict]] = None):
         self.cdb = cdb
         # NOTE: Vocab is None in case of DeID models and thats fine then,
         #       but it should be non-None otherwise
@@ -81,7 +82,7 @@ def __init__(self, cdb: CDB, vocab: Optional[Vocab],
         self._tokenizer = self._init_tokenizer()
         self._components: list[CoreComponent] = []
         self._addons: list[AddonComponent] = []
-        self._init_components(model_load_path, old_pipe)
+        self._init_components(model_load_path, old_pipe, addon_config_dict)
 
     @property
     def tokenizer(self) -> BaseTokenizer:
@@ -172,8 +173,45 @@ def _load_saved_core_component(self, cct_name: str, comp_folder_path: str
                 f"'{comp.get_type().name}' instead.")
         return comp
 
+    @classmethod
+    def _attempt_merge(
+            cls, addon_cnf: ComponentConfig,
+            addon_config_dict: dict[str, dict]) -> None:
+        for name, config_dict in addon_config_dict.items():
+            if not name.startswith(addon_cnf.comp_name):
+                continue
+            # TODO: is there an option to do this in a more general way?
+            #       right now it's an implementation-specific code smell
+            if isinstance(addon_cnf, ConfigMetaCAT):
+                full_name = f"{addon_cnf.comp_name}.{addon_cnf.general.category_name}"
+                if name == full_name:
+                    addon_cnf.merge_config(config_dict)
+                    return
+                continue
+            logger.warning(
+                "No implementation specified for defining if/when %s"
+                "should apply to addon config (e.g %s)",
+                type(addon_cnf).__name__, name)
+            # if only 1 of the type, then just merge
+            similars = [cd for oname, cd in addon_config_dict.items()
+                        if oname.startswith(addon_cnf.comp_name)]
+            if len(similars) == 1:
+                logger.warning(
+                    "Since there is only 1 config for this type (%s) specified "
+                    "we will just merge the configs (@%s).",
+                    addon_cnf.comp_name, name)
+                addon_cnf.merge_config(config_dict)
+                return
+            else:
+                logger.warning(
+                    "There are %d similar configs (%s) specified, so unable to "
+                    "merge the config since it's ambiguous (@%s)",
+                    len(similars), addon_cnf.comp_name, name)
+
     def _init_components(self, model_load_path: Optional[str],
-                         old_pipe: Optional['Pipeline']) -> None:
+                         old_pipe: Optional['Pipeline'],
+                         addon_config_dict: Optional[dict[str, dict]],
+                         ) -> None:
         (loaded_core_component_paths,
          loaded_addon_component_paths) = self._get_loaded_components_paths(
              model_load_path)
@@ -186,6 +224,8 @@ def _init_components(self, model_load_path: Optional[str],
                     CoreComponentType[cct_name], model_load_path)
             self._components.append(comp)
         for addon_cnf in self.config.components.addons:
+            if addon_config_dict:
+                self._attempt_merge(addon_cnf, addon_config_dict)
             addon = self._init_addon(
                 addon_cnf, loaded_addon_component_paths, old_pipe)
             # mark as not dirty at loat / init time
diff --git a/medcat-v2/medcat/stats/__init__.py b/medcat-v2/medcat/stats/__init__.py
index e69de29bb..050ad0a02 100644
--- a/medcat-v2/medcat/stats/__init__.py
+++ b/medcat-v2/medcat/stats/__init__.py
@@ -0,0 +1,5 @@
+from .stats import get_stats
+from .kfold import get_k_fold_stats
+
+
+__all__ = ['get_stats', 'get_k_fold_stats']
diff --git a/medcat-v2/medcat/stats/stats.py b/medcat-v2/medcat/stats/stats.py
index df17ec683..2b6c6a15d 100644
--- a/medcat-v2/medcat/stats/stats.py
+++ b/medcat-v2/medcat/stats/stats.py
@@ -238,9 +238,18 @@ def finalise_report(self, epoch: int, do_print: bool = True):
                 Defaults to True.
         """
         try:
-            prec = self.tp / (self.tp + self.fp)
-            rec = self.tp / (self.tp + self.fn)
-            f1 = 2 * (prec * rec) / (prec + rec)
+            if self.tp + self.fp == 0:
+                prec = 0.0
+            else:
+                prec = self.tp / (self.tp + self.fp)
+            if self.tp + self.fp == 0:
+                rec = 0.0
+            else:
+                rec = self.tp / (self.tp + self.fn)
+            if prec == 0 and rec == 0:
+                f1 = 0.0
+            else:
+                f1 = 2 * (prec * rec) / (prec + rec)
             if do_print:
                 print("Epoch: {}, Prec: {}, Rec: {}, F1: {}\n".format(
                     epoch, prec, rec, f1))
diff --git a/medcat-v2/medcat/storage/mp_ents_save.py b/medcat-v2/medcat/storage/mp_ents_save.py
new file mode 100644
index 000000000..07556f7a7
--- /dev/null
+++ b/medcat-v2/medcat/storage/mp_ents_save.py
@@ -0,0 +1,60 @@
+from typing import Union
+import os
+import logging
+
+import pickle
+
+from medcat.data.entities import Entities, OnlyCUIEntities
+
+
+logger = logging.getLogger(__name__)
+
+
+class BatchAnnotationSaver:
+    def __init__(self, save_dir: str, batches_per_save: int):
+        self.save_dir = save_dir
+        self.batches_per_save = batches_per_save
+        self._batch_cache: list[list[
+            tuple[str, Union[dict, Entities, OnlyCUIEntities]]]] = []
+        os.makedirs(save_dir, exist_ok=True)
+        self.part_number = 0
+        self.annotated_ids_path = os.path.join(
+            save_dir, "annotated_ids.pickle")
+
+    def _load_existing_ids(self) -> tuple[list[str], int]:
+        if not os.path.exists(self.annotated_ids_path):
+            return [], -1
+        with open(self.annotated_ids_path, 'rb') as f:
+            return pickle.load(f)
+
+    def _save_cache(self):
+        annotated_ids, prev_part_num = self._load_existing_ids()
+        if (prev_part_num + 1) != self.part_number:
+            logger.info(
+                "Found part number %d off disk. Previously %d was kept track "
+                "of in code. Updating to %d off disk.",
+                prev_part_num, self.part_number, prev_part_num)
+            self.part_number = prev_part_num
+        for batch in self._batch_cache:
+            for doc_id, _ in batch:
+                annotated_ids.append(doc_id)
+        logger.debug("Saving part %d with %d batches",
+                     self.part_number, len(self._batch_cache))
+        with open(self.annotated_ids_path, 'wb') as f:
+            pickle.dump((annotated_ids, self.part_number), f)
+        # Save batch as part_<num>.pickle
+        part_path = os.path.join(self.save_dir,
+                                 f"part_{self.part_number}.pickle")
+        part_dict = {id: val for
+                     batch in self._batch_cache for
+                     id, val in batch}
+        with open(part_path, 'wb') as f:
+            pickle.dump(part_dict, f)
+        self._batch_cache.clear()
+        self.part_number += 1
+
+    def __call__(self, batch: list[
+            tuple[str, Union[dict, Entities, OnlyCUIEntities]]]):
+        self._batch_cache.append(batch)
+        if len(self._batch_cache) >= self.batches_per_save:
+            self._save_cache()
diff --git a/medcat-v2/medcat/tokenizing/regex_impl/tokenizer.py b/medcat-v2/medcat/tokenizing/regex_impl/tokenizer.py
index 874f51dcb..01b60b016 100644
--- a/medcat-v2/medcat/tokenizing/regex_impl/tokenizer.py
+++ b/medcat-v2/medcat/tokenizing/regex_impl/tokenizer.py
@@ -324,7 +324,7 @@ def _entity_from_tokens(doc: Document, tokens: list[MutableToken],
 
 
 class RegexTokenizer(BaseTokenizer):
-    REGEX = r'((\b\w+\b|\S+)\s?)'
+    REGEX = re.compile(r'(([^a-zA-Z0-9\s]+|\b\w+\b|\S+)\s?)')
     # group 1: text with whitespace (if present)
     # group 2: text with no whitespace
 
@@ -347,8 +347,12 @@ def entity_from_tokens(self, tokens: list[MutableToken]) -> MutableEntity:
         end_index = doc._tokens.index(tokens[-1])
         return _entity_from_tokens(doc, tokens, start_index, end_index)
 
+    def _get_tokens_matches(self, text: str) -> list[re.Match[str]]:
+        tokens = self.REGEX.finditer(text)
+        return list(tokens)
+
     def __call__(self, text: str) -> MutableDocument:
-        tokens = re.finditer(self.REGEX, text)
+        tokens = self._get_tokens_matches(text)
         doc = Document(text)
         for tkn_index, match in enumerate(tokens):
             start_index = match.start()
diff --git a/medcat-v2/medcat/tokenizing/spacy_impl/tokenizers.py b/medcat-v2/medcat/tokenizing/spacy_impl/tokenizers.py
index 71634b248..b6fe35b75 100644
--- a/medcat-v2/medcat/tokenizing/spacy_impl/tokenizers.py
+++ b/medcat-v2/medcat/tokenizing/spacy_impl/tokenizers.py
@@ -106,12 +106,9 @@ def save_internals_to(self, folder_path: str) -> str:
             folder_path, f"{TOKENIZER_PREFIX}{self._spacy_model_name}")
         if os.path.exists(subfolder):
             # NOTE: always overwrite
-            shutil.rmtree(folder_path)
+            shutil.rmtree(subfolder)
         logger.debug("Saving spacy model to '%s'", subfolder)
-        cur_path = self._nlp._path
-        if cur_path is None:
-            raise ValueError(f"Unable to save spacy: {self._nlp}")
-        shutil.copytree(cur_path, subfolder)
+        self._nlp.to_disk(subfolder)
         return subfolder
 
     def load_internals_from(self, folder_path: str) -> bool:
diff --git a/medcat-v2/medcat/trainer.py b/medcat-v2/medcat/trainer.py
index 8f1f9f87d..e462e8d5d 100644
--- a/medcat-v2/medcat/trainer.py
+++ b/medcat-v2/medcat/trainer.py
@@ -16,7 +16,7 @@
 from medcat.preprocessors.cleaners import prepare_name, NameDescriptor
 from medcat.components.types import CoreComponentType, TrainableComponent
 from medcat.components.addons.addons import AddonComponent
-from medcat.pipeline.pipeline import Pipeline
+from medcat.pipeline import Pipeline
 
 
 logger = logging.getLogger(__name__)
@@ -25,6 +25,7 @@
 # NOTE: this should be used for changing the CDB, both for training and for
 #       unlinking concept/names.
 class Trainer:
+    strict_train: bool = False
 
     def __init__(self, cdb: CDB, caller: Callable[[str], MutableDocument],
                  pipeline: Pipeline):
@@ -453,11 +454,17 @@ def _train_supervised_for_project2(self,
                         context = "[...]" + context
                     if context_end < len(cur_text) - 1:
                         context += "[...]"
-                    raise ValueError(
-                        f"Failed to identify '{cui}' ({ann['value']}) "
-                        f"([{ann['start']}:{ann['end']}]) "
-                        f"in '{context}' {mut_entity} within document "
-                        f"{doc['id']} | {doc['name']}") from ve
+                    msg_template = (
+                        "Failed to identify '%s' (%s) ([%d:%d]) "
+                        "in '%s' %s within document %s | %s, "
+                        "skipping training for this example")
+                    msg_context = (
+                        cui, ann['value'], ann['start'], ann['end'],
+                        context, mut_entity, doc['id'], doc['name'])
+                    if self.strict_train:
+                        raise ValueError(msg_template % msg_context) from ve
+                    else:
+                        logger.warning(msg_template, *msg_context, exc_info=ve)
             if train_from_false_positives:
                 fps: list[MutableEntity] = get_false_positives(doc, mut_doc)
 
diff --git a/medcat-v2/medcat/utils/cdb_state.py b/medcat-v2/medcat/utils/cdb_state.py
index 7aea869d4..c280999ba 100644
--- a/medcat-v2/medcat/utils/cdb_state.py
+++ b/medcat-v2/medcat/utils/cdb_state.py
@@ -3,6 +3,7 @@
 from typing import TypedDict, cast
 import tempfile
 import dill
+import os
 
 from copy import deepcopy
 
@@ -112,7 +113,8 @@ def _clear_state(cdb) -> None:
             raise ValueError(
                 "A part of the CDB state was not a dict, set, or ModelMeta "
                 f"(during clearing). Got {type(val).__name__}. The "
-                "re-setting of the sate needs to be implemented per type.")
+                "re-setting of the state needs to be implemented per type. "
+                f"Got {type(val)} instead.")
         if isinstance(val, (dict, set)):
             val.clear()
         else:
@@ -215,7 +217,10 @@ def on_disk_memory_capture(cdb):
     Yields:
         None
     """
-    with tempfile.NamedTemporaryFile() as tf:
-        save_cdb_state(cdb, tf.name)
+    # NOTE: using temporary directory so that it also works on Windows
+    #       otherwise you can't reopen a temporary file in Windows (apparently)
+    with tempfile.TemporaryDirectory() as temp_dir:
+        temp_file_name = os.path.join(temp_dir, "cdb_state.dat")
+        save_cdb_state(cdb, temp_file_name)
         yield
-        load_and_apply_cdb_state(cdb, tf.name)
+        load_and_apply_cdb_state(cdb, temp_file_name)
diff --git a/medcat-v2/medcat/utils/cdb_utils.py b/medcat-v2/medcat/utils/cdb_utils.py
new file mode 100644
index 000000000..3eda30858
--- /dev/null
+++ b/medcat-v2/medcat/utils/cdb_utils.py
@@ -0,0 +1,301 @@
+from collections import defaultdict
+import logging
+from medcat.cdb.concepts import NameInfo
+import numpy as np
+
+from copy import deepcopy
+from typing import Any, Iterable
+from medcat.cdb import CDB
+
+logger = logging.getLogger(__name__)  # separate logger from the package-level one
+
+
+def merge_cdb(cdb1: CDB,
+              cdb2: CDB,
+              overwrite_training: int = 0,
+              full_build: bool = False) -> CDB:
+    """Merge two CDB's together to produce a new, single CDB. The contents of
+    inputs CDBs will not be changed.
+    `addl_info` can not be perfectly merged, and will prioritise cdb1. see `full_build`
+
+    Args:
+        cdb1 (CDB):
+            The first medcat cdb to merge. In cases where merging isn't suitable
+            isn't ideal (such as cui2preferred_name), this cdb values will be
+            prioritised over cdb2.
+        cdb2 (CDB):
+            The second medcat cdb to merge.
+        overwrite_training (int):
+            Choose to prioritise a CDB's context vectors values over merging gracefully.
+            0 - no prio, 1 - CDB1, 2 - CDB2
+        full_build (bool):
+            Add additional information from "addl_info" dicts "cui2ontologies" and
+            "cui2description"
+
+    Returns:
+        CDB: The merged CDB.
+    """
+    config = deepcopy(cdb1.config)
+    cdb = CDB(config)
+
+    # Copy CDB 1 - as all settings from CDB 1 will be carried over
+    cdb.cui2info = deepcopy(cdb1.cui2info)
+    cdb.name2info = deepcopy(cdb1.name2info)
+    cdb.type_id2info = deepcopy(cdb1.type_id2info)
+    cdb.token_counts = deepcopy(cdb1.token_counts)
+    cdb._subnames = deepcopy(cdb1._subnames)
+    if full_build:
+        cdb.addl_info = deepcopy(cdb1.addl_info)
+
+    # Merge concepts from cdb2 into the merged CDB
+    for cui, cui_info2 in cdb2.cui2info.items():
+        # Get name status from cdb2
+        name_status = 'A'  # default status
+        for name in cui_info2['names']:
+            if name in cdb2.name2info:
+                name_info = cdb2.name2info[name]
+                if cui in name_info['per_cui_status']:
+                    name_status = name_info['per_cui_status'][cui]
+                    break
+
+        # Prepare names dict for _add_concept
+        names = {}
+        for name in cui_info2['names']:
+            # Create a simple NameDescriptor-like structure
+            name_info_entry: NameInfo | None = cdb2.name2info.get(name)
+            names[name] = type('NameDescriptor', (), {
+                'snames': cui_info2['subnames'],
+                # Guard for unknown structure in name2info and avoid mismatched defaults
+                'is_upper': (bool(name_info_entry.get('is_upper', False))
+                    if isinstance(name_info_entry, dict) else False),
+                'tokens': set(),  # We don't have token info in the new structure
+                'raw_name': name
+            })()
+
+        # Get ontologies and description for full_build
+        ontologies: set[str] = set()
+        description = cui_info2.get('description') or ''
+        to_build = full_build and (
+            cui_info2.get('original_names') is not None or
+            cui_info2.get('description') is not None
+        )
+
+        if to_build:
+            other: Iterable[str] = cui_info2.get('in_other_ontology') or []
+            ontologies.update(other)
+
+        cdb._add_concept(
+            cui=cui, names=names, ontologies=ontologies, name_status=name_status,
+            type_ids=cui_info2['type_ids'], description=description,
+            full_build=to_build
+        )
+
+        # Copy training data from cdb2 for concepts that don't exist in cdb1
+        if cui not in cdb1.cui2info:
+            cui_info_merged = cdb.cui2info[cui]
+            cui_info_merged['count_train'] = cui_info2['count_train']
+            cui_info_merged['context_vectors'] = deepcopy(cui_info2['context_vectors'])
+            cui_info_merged['average_confidence'] = cui_info2['average_confidence']
+            if cui_info2.get('tags'):
+                cui_info_merged['tags'] = deepcopy(cui_info2['tags'])
+
+        # Handle merging of training data for concepts that exist in both CDBs
+        if cui in cdb1.cui2info:
+            cui_info1 = cdb1.cui2info[cui]
+            cui_info_merged = cdb.cui2info[cui]
+
+            # Merge count_train
+            if (cui_info1['count_train'] > 0 or cui_info2['count_train'] > 0) and not (
+                overwrite_training == 1 and cui_info1['count_train'] > 0
+            ):
+                if overwrite_training == 2 and cui_info2['count_train'] > 0:
+                    cui_info_merged['count_train'] = cui_info2['count_train']
+                else:
+                    cui_info_merged['count_train'] = (
+                        cui_info1['count_train'] + cui_info2['count_train']
+                    )
+
+            # Merge context vectors
+            if (cui_info1['context_vectors'] is not None and
+                not (overwrite_training == 1 and
+                     cui_info1['context_vectors'] is not None)):
+
+                if (overwrite_training == 2 and
+                    cui_info2['context_vectors'] is not None):
+                    cui_info_merged['context_vectors'] = deepcopy(
+                        cui_info2['context_vectors']
+                    )
+                else:
+                    # Merge context vectors with weighted average
+                    if cui_info_merged['context_vectors'] is None:
+                        cui_info_merged['context_vectors'] = {}
+
+                    # Get all context types from both CDBs
+                    contexts: set[str] = set()
+                    if cui_info1['context_vectors']:
+                        contexts.update(cui_info1['context_vectors'].keys())
+                    if cui_info2['context_vectors']:
+                        contexts.update(cui_info2['context_vectors'].keys())
+
+                    # Calculate weights
+                    if overwrite_training == 2:
+                        weights: list[float] = [0.0, 1.0]
+                    else:
+                        norm = cui_info_merged['count_train']
+                        if norm > 0:
+                            weights = [
+                                np.divide(cui_info1['count_train'], norm),
+                                np.divide(cui_info2['count_train'], norm)
+                            ]
+                        else:
+                            weights = [0.5, 0.5]  # equal weights if no training
+
+                    # Merge each context vector
+                    for context_type in contexts:
+                        if cui_info1['context_vectors']:
+                            vec1 = cui_info1['context_vectors'].get(
+                                context_type, np.zeros(300)
+                            )
+                        else:
+                            vec1 = np.zeros(300)
+
+                        if cui_info2['context_vectors']:
+                            vec2 = cui_info2['context_vectors'].get(
+                                context_type, np.zeros(300)
+                            )
+                        else:
+                            vec2 = np.zeros(300)
+                        cv: dict[str, np.ndarray] = cui_info_merged['context_vectors']  # type: ignore[assignment]
+                        cv[context_type] = (weights[0] * vec1 + weights[1] * vec2)
+
+            # Merge tags
+            if cui_info1.get('tags') and cui_info2.get('tags'):
+                if cui_info_merged.get('tags') is None:
+                    cui_info_merged['tags'] = []
+                dest_tags: list[str] = cui_info_merged['tags']  # type: ignore[assignment]
+                src_tags = cui_info2.get('tags')
+                if src_tags:
+                    dest_tags.extend(src_tags)
+
+            # Merge type_ids (already handled by _add_concept, but ensure union)
+            cui_info_merged['type_ids'].update(cui_info2['type_ids'])
+
+    # Merge name training counts
+    if overwrite_training != 1:
+        for name, name_info2 in cdb2.name2info.items():
+            if name in cdb1.name2info and overwrite_training == 0:
+                # Merge training counts for names that exist in both CDBs
+                name_info1 = cdb1.name2info[name]
+                name_info_merged = cdb.name2info[name]
+                name_info_merged['count_train'] = (
+                    name_info1['count_train'] + name_info2['count_train']
+                )
+            else:
+                # Copy name info from cdb2 if it doesn't exist in cdb1
+                if name not in cdb.name2info:
+                    cdb.name2info[name] = deepcopy(name_info2)
+
+    # Merge token counts
+    if overwrite_training != 1:
+        for token, count in cdb2.token_counts.items():
+            if token in cdb.token_counts and overwrite_training == 0:
+                cdb.token_counts[token] += count
+            else:
+                cdb.token_counts[token] = count
+
+    return cdb
+
+
+def _dedupe_preserve_order(items: list[str]) -> list[str]:
+    seen = set()
+    deduped_list = []
+    for item in items:
+        if item not in seen:
+            seen.add(item)
+            deduped_list.append(item)
+    return deduped_list
+
+
+def get_all_ch(parent_cui: str, cdb):
+    """Get all the children of a given parent CUI. Preserves the order of the parent
+
+    Args:
+        parent_cui (str): The parent CUI
+        cdb (CDB): The CDB object
+
+    Returns:
+        list: The children of the parent CUI
+    """
+    all_ch = [parent_cui]
+    for cui in cdb.addl_info.get('pt2ch', {}).get(parent_cui, []):
+        cui_chs = get_all_ch(cui, cdb)
+        all_ch += cui_chs
+    return _dedupe_preserve_order(all_ch)
+
+
+def ch2pt_from_pt2ch(cdb: CDB, pt2ch_key: str = 'pt2ch'):
+    """Get the child to parent info from the pt2ch map in the CDB
+
+    Args:
+        cdb (CDB): The CDB object with addl_info['pt2ch']
+        pt2ch_key (str, optional): The key in the addl_info dict to get the pt2ch map
+            from.
+            Defaults to 'pt2ch'.
+    Returns:
+        dict: The child to parent info
+    """
+    ch2pt = defaultdict(list)
+    for k, vals in cdb.addl_info[pt2ch_key].items():
+        for v in vals:
+            ch2pt[v].append(k)
+    return ch2pt
+
+
+def snomed_ct_concept_path(
+    cui: str, cdb: CDB, parent_node='138875005'
+) -> dict[str, Any]:
+    """Get the concept path for a given CUI to a parent node
+
+    Args:
+        cui (str): The CUI of the concept to get the path for
+        cdb (CDB): The CDB object
+        parent_node (str, optional): The top level parent node.
+            Defaults to '138875005' the root SNOMED CT code.
+
+    Returns:
+        dict: The concept path and links
+    """
+    try:
+        def find_parents(cui, cuis2nodes, child_node=None):
+            parents = list(cdb.addl_info.get('ch2pt', {}).get(cui, []))
+            all_links = []
+            if cui not in cuis2nodes:
+                # Get preferred name from the new CDB structure
+                preferred_name = cdb.get_name(cui)
+                curr_node = {'cui': cui, 'pretty_name': preferred_name}
+                if child_node:
+                    curr_node['children'] = [child_node]
+                cuis2nodes[cui] = curr_node
+                if len(parents) > 0:
+                    all_links += find_parents(
+                        parents[0], cuis2nodes, child_node=curr_node
+                    )
+                    for p in parents[1:]:
+                        links = find_parents(p, cuis2nodes)
+                        all_links += [{'parent': p, 'child': cui}] + links
+            else:
+                if child_node:
+                    if 'children' not in cuis2nodes[cui]:
+                        cuis2nodes[cui]['children'] = []
+                    cuis2nodes[cui]['children'].append(child_node)
+            return all_links
+        cuis2nodes: dict[str, dict[str, Any]] = {}
+        all_links = find_parents(cui, cuis2nodes)
+        return {
+            'node_path': cuis2nodes[parent_node],
+            'links': all_links
+        }
+    except KeyError as e:
+        logger.error(f'Cannot find path concept path for CUI: {cui}',
+            exc_info=True)
+        return {'node_path': {}, 'links': []}
diff --git a/medcat-v2/medcat/utils/check_for_updates.py b/medcat-v2/medcat/utils/check_for_updates.py
new file mode 100644
index 000000000..4f3a14bd1
--- /dev/null
+++ b/medcat-v2/medcat/utils/check_for_updates.py
@@ -0,0 +1,192 @@
+from typing import TypedDict
+import json
+import os
+import time
+import urllib.request
+from pathlib import Path
+from packaging.version import Version, InvalidVersion
+import logging
+
+from medcat.utils.defaults import (
+    MEDCAT_DISABLE_VERSION_CHECK_ENVIRON, MEDCAT_PYPI_URL_ENVIRON,
+    MEDCAT_MINOR_UPDATE_THRESHOLD_ENVIRON,
+    MEDCAT_PATCH_UPDATE_THRESHOLD_ENVIRON,
+    MEDCAT_VERSION_UPDATE_LOG_LEVEL_ENVIRON,
+    MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL_ENVIRON,
+)
+from medcat.utils.defaults import (
+    DEFAULT_PYPI_URL, DEFAULT_MINOR_FOR_INFO, DEFAULT_PATCH_FOR_INFO,
+    DEFAULT_VERSION_INFO_LEVEL, DEFAULT_VERSION_INFO_YANKED_LEVEL)
+
+
+DEFAULT_CACHE_PATH = (
+    Path.home() / ".cache" / "cogstack" / "medcat_version.json")
+# 1 week
+DEFAULT_CHECK_INTERVAL = 7 * 24 * 3600
+
+
+logger = logging.getLogger(__name__)
+
+
+def log_info(msg: str, *args, yanked: bool = False, **kwargs):
+    if yanked:
+        lvl = os.environ.get(MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL_ENVIRON,
+                             DEFAULT_VERSION_INFO_YANKED_LEVEL).upper()
+    else:
+        lvl = os.environ.get(MEDCAT_VERSION_UPDATE_LOG_LEVEL_ENVIRON,
+                             DEFAULT_VERSION_INFO_LEVEL).upper()
+    _level_map = {
+        "NOTSET": logging.NOTSET,
+        "DEBUG": logging.DEBUG,
+        "INFO": logging.INFO,
+        "WARN": logging.WARNING,
+        "WARNING": logging.WARNING,
+        "ERROR": logging.ERROR,
+        "CRITICAL": logging.CRITICAL,
+        "FATAL": logging.FATAL,
+    }
+    level = _level_map.get(lvl, logging.INFO)
+    logger.log(level, msg, *args, **kwargs)
+
+
+def _get_env_int(name: str, default: int) -> int:
+    try:
+        return int(os.getenv(name, default))
+    except ValueError:
+        return default
+
+
+def _should_check(cache_path: Path, check_interval: int) -> bool:
+    if not cache_path.exists():
+        return True
+    try:
+        with open(cache_path) as f:
+            last_check = json.load(f)["last_check"]
+        return time.time() - last_check > check_interval
+    except Exception:
+        return True
+
+
+class UpdateCheckConfig(TypedDict):
+    pkg_name: str
+    cache_path: Path
+    url: str
+    enabled: bool
+    minor_threshold: int
+    patch_threshold: int
+    timeout: float
+    check_interval: int
+
+
+def _get_config(pkg_name: str) -> UpdateCheckConfig:
+    if os.getenv(MEDCAT_DISABLE_VERSION_CHECK_ENVIRON,
+                 "False").lower() in ("true", "yes", "disable"):
+        return {
+            "pkg_name": pkg_name,
+            "enabled": False,
+            "cache_path": Path("."),
+            "url": "-1",
+            "minor_threshold": -1,
+            "patch_threshold": -1,
+            "timeout": -1.0,
+            "check_interval": -1,
+        }
+    base_url = os.getenv(MEDCAT_PYPI_URL_ENVIRON, DEFAULT_PYPI_URL).rstrip("/")
+    url = f"{base_url}/{pkg_name}/json"
+    minor_thresh = _get_env_int(MEDCAT_MINOR_UPDATE_THRESHOLD_ENVIRON,
+                                DEFAULT_MINOR_FOR_INFO)
+    patch_thresh = _get_env_int(MEDCAT_PATCH_UPDATE_THRESHOLD_ENVIRON,
+                                DEFAULT_PATCH_FOR_INFO)
+    # TODO: add env variables for timeout and default cache?
+    return {
+        "pkg_name": pkg_name,
+        "enabled": True,
+        "cache_path": DEFAULT_CACHE_PATH,
+        "url": url,
+        "minor_threshold": minor_thresh,
+        "patch_threshold": patch_thresh,
+        "timeout": 3.0,
+        "check_interval": DEFAULT_CHECK_INTERVAL,
+    }
+
+
+def check_for_updates(pkg_name: str, current_version: str):
+    cnf = _get_config(pkg_name)
+    if not cnf["enabled"]:
+        return
+
+    if not _should_check(cnf["cache_path"], cnf["check_interval"]):
+        return
+
+    try:
+        with urllib.request.urlopen(cnf["url"],
+                                    timeout=cnf["timeout"]) as r:
+            data = json.load(r)
+        releases = {
+            v: files for v, files in data.get("releases", {}).items()
+            if files  # skip empty entries
+        }
+    except Exception as e:
+        log_info("Unable to check for update", exc_info=e)
+        return
+
+    # cache update time
+    cnf["cache_path"].parent.mkdir(parents=True, exist_ok=True)
+    with open(cnf["cache_path"], "w") as f:
+        json.dump({"last_check": time.time()}, f)
+
+    _do_check(cnf, releases, current_version)
+
+
+def _do_check(cnf: UpdateCheckConfig, releases: dict,
+              current_version: str):
+    try:
+        current = Version(current_version)
+    except InvalidVersion:
+        return
+    pkg_name = cnf["pkg_name"]
+    patch_thresh = cnf["patch_threshold"]
+    minor_thresh = cnf["minor_threshold"]
+
+    newer_minors, newer_patches = [], []
+    yanked = False
+    for v_str, files in releases.items():
+        try:
+            v = Version(v_str)
+        except InvalidVersion:
+            continue
+        if v <= current:
+            continue
+        if any(f.get("yanked") for f in files):
+            continue  # don’t count yanked releases in comparisons
+        if v.major == current.major and v.minor == current.minor:
+            newer_patches.append(v)
+        elif v.major == current.major and v.minor > current.minor:
+            newer_minors.append(v)
+
+    # detect if current version is yanked
+    for f in releases.get(current_version, []):
+        if f.get("yanked"):
+            reason = f.get("yanked_reason", "")
+            msg = (f"⚠️  You are using a yanked version ({pkg_name} "
+                   f"{current_version}). {reason}")
+            log_info(msg, yanked=True)
+            yanked = True
+            break
+
+    # report newer versions
+    if len(newer_patches) >= patch_thresh:
+        latest_patch = max(newer_patches)
+        msg = (f"ℹ️  {pkg_name} {current_version} → {latest_patch} "
+               f"({len(newer_patches)} newer patch releases available)")
+        log_info(msg)
+    elif len(newer_minors) >= minor_thresh:
+        latest_minor = max(newer_minors)
+        msg = (f"⚠️  {pkg_name} {current_version} → {latest_minor} "
+               f"({len(newer_minors)} newer minor releases available)")
+        log_info(msg)
+
+    if yanked and not (newer_minors or newer_patches):
+        msg = (f"⚠️  Your installed version {current_version} was yanked and "
+               "has no newer stable releases yet.")
+        log_info(msg, yanked=True)
diff --git a/medcat-v2/medcat/utils/defaults.py b/medcat-v2/medcat/utils/defaults.py
index c1ce9002e..ba4171f63 100644
--- a/medcat-v2/medcat/utils/defaults.py
+++ b/medcat-v2/medcat/utils/defaults.py
@@ -10,6 +10,20 @@
 COMPONENTS_FOLDER = "saved_components"
 AVOID_LEGACY_CONVERSION_ENVIRON = "MEDCAT_AVOID_LECACY_CONVERSION"
 
+# version check
+MEDCAT_DISABLE_VERSION_CHECK_ENVIRON = "MEDCAT_DISABLE_VERSION_CHECK"
+MEDCAT_PYPI_URL_ENVIRON = "MEDCAT_PYPI_URL"
+DEFAULT_PYPI_URL = "https://pypi.org/pypi"
+MEDCAT_MINOR_UPDATE_THRESHOLD_ENVIRON = "MEDCAT_MINOR_UPDATE_THRESHOLD"
+DEFAULT_MINOR_FOR_INFO = 3
+MEDCAT_PATCH_UPDATE_THRESHOLD_ENVIRON = "MEDCAT_PATCH_UPDATE_THRESHOLD"
+DEFAULT_PATCH_FOR_INFO = 3
+MEDCAT_VERSION_UPDATE_LOG_LEVEL_ENVIRON = "MEDCAT_VERSION_UPDATE_LOG_LEVEL"
+DEFAULT_VERSION_INFO_LEVEL = "INFO"
+MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL_ENVIRON = (
+    "MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL")
+DEFAULT_VERSION_INFO_YANKED_LEVEL = "WARNING"
+
 
 def avoid_legacy_conversion() -> bool:
     return os.environ.get(
diff --git a/medcat-v2/medcat/utils/legacy/conversion_all.py b/medcat-v2/medcat/utils/legacy/conversion_all.py
index 5858edcdf..7b25768a6 100644
--- a/medcat-v2/medcat/utils/legacy/conversion_all.py
+++ b/medcat-v2/medcat/utils/legacy/conversion_all.py
@@ -31,8 +31,12 @@ def __init__(self, medcat1_model_pack_path: str,
                  ser_type: AvailableSerialisers = AvailableSerialisers.dill):
         if medcat1_model_pack_path.endswith(".zip"):
             folder_path = medcat1_model_pack_path[:-4]
+            self.old_model_name = os.path.split(
+                medcat1_model_pack_path)[1].rsplit(".zip", 1)[0]
             unpack(medcat1_model_pack_path, folder_path)
             medcat1_model_pack_path = folder_path
+        else:
+            self.old_model_name = os.path.split(medcat1_model_pack_path)[1]
         if not os.path.isdir(medcat1_model_pack_path):
             raise ValueError(
                 "Provided model path is not a directory: "
@@ -147,6 +151,7 @@ def convert(self) -> CAT:
             logger.info("Saving converted model to '%s'",
                         self.new_model_folder)
             cat.save_model_pack(self.new_model_folder,
+                                pack_name=self.old_model_name + 'v2',
                                 serialiser_type=self.ser_type)
         return cat
 
diff --git a/medcat-v2/medcat/utils/legacy/convert_cdb.py b/medcat-v2/medcat/utils/legacy/convert_cdb.py
index 6399c5848..119533599 100644
--- a/medcat-v2/medcat/utils/legacy/convert_cdb.py
+++ b/medcat-v2/medcat/utils/legacy/convert_cdb.py
@@ -121,6 +121,7 @@ def _add_cui_info(cdb: CDB, data: dict) -> CDB:
     cui2tags, cui2type_ids = data['cui2tags'], data['cui2type_ids']
     cui2prefname = data['cui2preferred_name']
     cui2av_conf = data['cui2average_confidence']
+    cui2orig_names = data["addl_info"].get("cui2original_names", {})
     for cui in all_cuis:
         names = cui2names.get(cui, set())
         snames = cui2snames.get(cui, set())
@@ -134,8 +135,14 @@ def _add_cui_info(cdb: CDB, data: dict) -> CDB:
             cui=cui, preferred_name=prefname, names=names, subnames=snames,
             type_ids=type_ids, tags=tags, count_train=count_train,
             context_vectors=vecs, average_confidence=av_conf,
+            original_names=cui2orig_names.get(cui, None),
         )
         cdb.cui2info[cui] = info
+    # remove cui2original_names from addl_info - we've already used it
+    if "cui2original_names" in data["addl_info"]:
+        logger.info("Deleting 'cui2original_names' in addl_info - "
+                    "it was used in CUIInfo already")
+        del data["addl_info"]["cui2original_names"]
     all_cui_tuis = set((ci['cui'], tui) for ci in cdb.cui2info.values()
                        for tui in ci['type_ids'])
     all_tuis = set(tui for _, tui in all_cui_tuis)
diff --git a/medcat-v2/medcat/utils/legacy/fixes.py b/medcat-v2/medcat/utils/legacy/fixes.py
new file mode 100644
index 000000000..13c8a864e
--- /dev/null
+++ b/medcat-v2/medcat/utils/legacy/fixes.py
@@ -0,0 +1,48 @@
+import logging
+
+from medcat.cdb import CDB
+
+
+logger = logging.getLogger(__name__)
+
+
+def _fix_cui2original_names(cdb: CDB) -> None:
+    cui2on = cdb.addl_info["cui2original_names"]
+    num_cuis = len(cui2on)
+    used_cuis = 0
+    for ci in cdb.cui2info.values():
+        orig_names: set[str] = cui2on.get(ci["cui"], None)
+        if orig_names is not None:
+            if ci["original_names"] is None:
+                ci["original_names"] = orig_names
+            else:
+                ci["original_names"].update(orig_names)
+            used_cuis += 1
+    logger.info(
+        "Used %d out of %d CUIs in the 'cui2original_names' map",
+        used_cuis, num_cuis)
+    # delete existing data in cui2original_names
+    del cdb.addl_info["cui2original_names"]
+
+
+def fix_cui2original_names_if_needed(cdb: CDB) -> bool:
+    """Fix the cui2original names in CDB if needed.
+
+    This was an issue caused by faulty legacy conversion
+    where the data wasn't moved correctly from addl_info.
+
+    Args:
+        cdb (CDB): The CDB in question.
+
+    Returns:
+        bool: Whether the fix / change was made.
+    """
+    if "cui2original_names" in cdb.addl_info:
+        logger.info(
+            "CDB addl_info contains legacy data: "
+            "'cui2original_names' . Moving it to cui2info")
+        _fix_cui2original_names(cdb)
+        return True
+    else:
+        logger.debug("CDB does not contain legacy 'cui2original_names")
+        return False
diff --git a/medcat-v2/medcat/utils/postprocessing.py b/medcat-v2/medcat/utils/postprocessing.py
index f6c277d0d..3e313825f 100644
--- a/medcat-v2/medcat/utils/postprocessing.py
+++ b/medcat-v2/medcat/utils/postprocessing.py
@@ -4,24 +4,37 @@
 # NOTE: the following used (in medcat v1) check tuis
 #       but they were never passed to the method so
 #       I've omitted it now
-def create_main_ann(doc: MutableDocument) -> None:
+def create_main_ann(doc: MutableDocument, show_nested_entities: bool = False) -> None:
     """Creates annotation in the spacy ents list
     from all the annotations for this document.
 
     Args:
         doc (Doc): Spacy document.
+        show_nested_entities (bool): Whether to keep overlapping/nested entities.
+            If True, keeps all entities. If False, filters overlapping entities
+            keeping only the longest matches. Defaults to False.
     """
-    doc.ner_ents.sort(key=lambda x: len(x.base.text), reverse=True)
-    tkns_in = set()
-    main_anns: list[MutableEntity] = []
-    for ent in doc.ner_ents:
-        to_add = True
-        for tkn in ent:
-            if tkn in tkns_in:
-                to_add = False
-        if to_add:
+    if show_nested_entities:
+        doc.linked_ents = sorted(list(doc.linked_ents) + doc.ner_ents,  # type: ignore
+                                 key=lambda ent: ent.base.start_char_index)
+    else:
+        # Filter overlapping entities using token indices (not object identity)
+        doc.ner_ents.sort(key=lambda x: len(x.base.text), reverse=True)
+        tkns_in = set()  # Set of token indices
+        main_anns: list[MutableEntity] = []
+
+        for ent in doc.ner_ents:
+            to_add = True
             for tkn in ent:
-                tkns_in.add(tkn)
-            main_anns.append(ent)
-    doc.linked_ents = sorted(list(doc.linked_ents) + main_anns,  # type: ignore
-                            key=lambda ent: ent.base.start_char_index)
+                if tkn.base.index in tkns_in:  # Use token index instead
+                    to_add = False
+                    break
+            if to_add:
+                for tkn in ent:
+                    tkns_in.add(tkn.base.index)
+                main_anns.append(ent)
+
+        # unclear why the original doc.linked_ents needs to be preserved here.
+        doc.linked_ents = sorted(list(doc.linked_ents) + main_anns,  # type: ignore
+                                 key=lambda ent: ent.base.start_char_index)
+
diff --git a/medcat-v2/medcat/utils/regression/utils.py b/medcat-v2/medcat/utils/regression/utils.py
index 2f793b409..0d168bc1e 100644
--- a/medcat-v2/medcat/utils/regression/utils.py
+++ b/medcat-v2/medcat/utils/regression/utils.py
@@ -212,7 +212,7 @@ def get_class_level_docstrings(cls: Type) -> list[str]:
                         elem.value, ast.Constant):
                     # If it's an expression node containing a constant,
                     # extract the string
-                    docstrings.append(elem.value.s)
+                    docstrings.append(str(elem.value.s))
     return docstrings
 
 
diff --git a/medcat-v2/pyproject.toml b/medcat-v2/pyproject.toml
index 06939aa6d..2389025c9 100644
--- a/medcat-v2/pyproject.toml
+++ b/medcat-v2/pyproject.toml
@@ -7,9 +7,9 @@ description = "Medical Concept Annotation Toolkit (v2)"
 
 readme = "README.md"
 
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 
-license = "Elastic-2.0"
+license = "Apache-2.0"
 
 keywords = ["ML", "NLP", "NER+L"]
 
@@ -33,20 +33,21 @@ classifiers = [
   #   3 - Alpha
   #   4 - Beta
   #   5 - Production/Stable
-  "Development Status :: 3 - Alpha",
+  "Development Status :: 4 - Beta",
 
-  "Intended Audience :: Hospital Trust Technical Management",
-  "Topic :: Natural Language Processing :: Named Entity Recognition and Linking",
+  "Intended Audience :: Healthcare Industry",
+  # "Topic :: Natural Language Processing :: Named Entity Recognition and Linking",
 
   # Specify the Python versions you support here. In particular, ensure
   # that you indicate you support Python 3. These classifiers are *not*
   # checked by "pip install". See instead "python_requires" below.
   "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
   "Programming Language :: Python :: 3 :: Only",
+  "Operating System :: OS Independent",
 ]
 
 # This field lists other packages that your project depends on to run.
@@ -56,7 +57,8 @@ classifiers = [
 # For an analysis of this field vs pip's requirements files see:
 # https://packaging.python.org/discussions/install-requires-vs-requirements/
 dependencies = [ # Optional
-  "numpy>2.0",
+  "numpy>=2.1; python_version >= '3.13'",
+  "numpy>=2.0; python_version < '3.13'",
   "dill",
   "pandas>=2.2,<3.0",
   "tqdm>=4.64,<5.0",
@@ -84,27 +86,40 @@ dev = [
 ]
 spacy = [
   "spacy",
-  "spacy<3.8.4; python_version == '3.9'"
 ]
 meta_cat = [
   "transformers>=4.41.0,<5.0", # avoid major bump
+  # Transformers 4.57 doesn't support 3.9
+  "transformers!=4.57.0; python_version == '3.9'",
   "peft>0.8.2,<1.0",
   "torch>=2.4.0,<3.0",
   "scikit-learn>=1.1.3,<2.0",
-  "scipy",
+  # since 3.13 we need to use later version of scipy for it
+  "scipy<1.14; python_version < '3.13'",
+  "scipy>=1.14; python_version >= '3.13'",
 ]
 dict_ner = [
   "pyahocorasick>=2.1.0,<3.0"
 ]
 deid = [
   "datasets>=2.2.2,<3.0.0",
+  # Transformers 4.57 doesn't support 3.9
+  "transformers!=4.57.0; python_version == '3.9'",
   "transformers>=4.41.0,<5.0", # avoid major bump
+  # Transformers 4.57 doesn't support 3.9
+  "transformers!=4.57.0; python_version == '3.9'",
   "scikit-learn>=1.1.3,<2.0",
   "torch>=2.4.0,<3.0",
-  "scipy",
+  # since 3.13 we need to use later version of scipy for it
+  "scipy<1.14; python_version < '3.13'",
+  "scipy>=1.14; python_version >= '3.13'",
 ]
 rel_cat = [
+  # Transformers 4.57 doesn't support 3.9
+  "transformers!=4.57.0; python_version == '3.9'",
   "transformers>=4.41.0,<5.0", # avoid major bump
+  # Transformers 4.57 doesn't support 3.9
+  "transformers!=4.57.0; python_version == '3.9'",
   "scikit-learn>=1.1.3,<2.0",
   "torch>=2.4.0,<3.0",
 ]
@@ -112,8 +127,9 @@ test = []  # TODO - list
 
 [project.urls]
 "Homepage" = "https://cogstack.org/"
+"Documentation" = "https://docs.cogstack.org/projects/nlp/en/latest/"
 "Bug Reports" = "https://discourse.cogstack.org/"
-"Source" = "https://github.com/CogStack/MedCAT/"
+"Source" = "https://github.com/CogStack/cogstack-nlp/"
 
 [build-system]
 # These are the assumed default build requirements from pip:
diff --git a/medcat-v2/tests/components/addons/meta_cat/test_bert_meta_cat.py b/medcat-v2/tests/components/addons/meta_cat/test_bert_meta_cat.py
new file mode 100644
index 000000000..cd6b811ea
--- /dev/null
+++ b/medcat-v2/tests/components/addons/meta_cat/test_bert_meta_cat.py
@@ -0,0 +1,94 @@
+import socket
+from contextlib import contextmanager
+
+from medcat.components.addons.meta_cat import meta_cat
+from medcat.storage.serialisers import serialise, deserialise
+
+import unittest
+import tempfile
+import os
+
+import transformers
+
+from .test_meta_cat import FakeTokenizer
+
+
+@contextmanager
+def assert_tries_network():
+    real_socket = socket.socket
+    calls = []
+
+    def guard(*args, **kwargs):
+        calls.append((len(args), len(kwargs)))
+        raise OSError("Network disabled for test")
+
+    socket.socket = guard
+    try:
+        yield
+    finally:
+        socket.socket = real_socket
+        assert calls, "No network calls were made during the test"
+
+
+# NOTE: need to disable the usage of the cache
+#       otherwise other parts of the test suite
+#       might have already downloaded and cached
+#       the model and no network calls may be made
+#       in such a situation
+@contextmanager
+def force_hf_download():
+    with tempfile.TemporaryDirectory() as temp_dir:
+        with _force_hf_download(temp_dir):
+            yield
+
+
+@contextmanager
+def _force_hf_download(temp_dir_path: str):
+    orig_from_pretrained = transformers.BertModel.from_pretrained
+
+    method_calls = []
+
+    def replacement_method(*args, **kwargs):
+        method_calls.append((len(args), len(kwargs)))
+        return orig_from_pretrained(
+            *args, force_download=True,
+            cache_dir=temp_dir_path, **kwargs)
+    transformers.BertModel.from_pretrained = replacement_method
+    try:
+        yield
+    finally:
+        transformers.BertModel.from_pretrained = orig_from_pretrained
+        assert method_calls, "BertModel.from_pretrained should be called"
+
+
+class BERTMetaCATTests(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.cnf = meta_cat.ConfigMetaCAT()
+        cls.cnf.model.model_name = 'bert'
+        cls.cnf.general.vocab_size = 10
+        cls.cnf.model.padding_idx = 5
+        cls.cnf.general.tokenizer_name = 'bert-tokenizer'
+        cls.cnf.model.model_variant = 'prajjwal1/bert-tiny'
+        cls.cnf.general.category_name = 'FAKE_category'
+        cls.cnf.general.category_value2id = {
+            'Future': 0, 'Past': 2, 'Recent': 1}
+        cls.tokenizer = FakeTokenizer()
+        cls.meta_cat = meta_cat.MetaCATAddon.create_new(cls.cnf, cls.tokenizer)
+
+        cls.temp_dir = tempfile.TemporaryDirectory()
+        # change model variant to force a network call upon load
+        cls.cnf.model.model_variant = 'prajjwal1/bert-small'
+        cls.mc_save_path = os.path.join(cls.temp_dir.name, "bert_meta_cat")
+        serialise('dill', cls.meta_cat, cls.mc_save_path)
+
+    @classmethod
+    def tearDownClass(cls):
+        cls.temp_dir.cleanup()
+
+    def test_no_network_load(self):
+        with assert_tries_network():
+            with force_hf_download():
+                mc = deserialise(self.mc_save_path)
+        self.assertIsInstance(mc, meta_cat.MetaCATAddon)
diff --git a/medcat-v2/tests/components/addons/meta_cat/test_meta_cat.py b/medcat-v2/tests/components/addons/meta_cat/test_meta_cat.py
index 71a49e7e7..f638246c5 100644
--- a/medcat-v2/tests/components/addons/meta_cat/test_meta_cat.py
+++ b/medcat-v2/tests/components/addons/meta_cat/test_meta_cat.py
@@ -6,7 +6,10 @@
 from medcat.storage.serialisers import serialise, AvailableSerialisers
 from medcat.config.config_meta_cat import ConfigMetaCAT
 from medcat.config.config import Config
+from medcat.utils.defaults import COMPONENTS_FOLDER
 
+import os
+import unittest.mock
 import unittest
 import tempfile
 
@@ -104,6 +107,22 @@ def test_can_save_and_load(self):
             cat2 = CAT.load_model_pack(file_name)
         self.assert_has_meta_cat(cat2, False)
 
+    def test_loading_uses_save_dir_path(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            file_name = self.cat.save_model_pack(
+                temp_dir, serialiser_type=self.SER_TYPE)
+            exp_meta_cat_path = os.path.join(
+                file_name.removesuffix(".zip"),
+                COMPONENTS_FOLDER,
+                self.meta_cat.get_folder_name()
+            )
+            cat = CAT.load_model_pack(file_name)
+            meta_cats = cat.get_addons_of_type(meta_cat.MetaCATAddon)
+            self.assertEqual(len(meta_cats), 1)
+            mc = meta_cats[0]
+            self.assertIsNotNone(mc.mc.save_dir_path)
+            self.assertEqual(mc.mc.save_dir_path, exp_meta_cat_path)
+
     def test_turns_up_in_output(self):
         ents = self.cat.get_entities(
             "This is a fit text for rich and chronic disease like fittest.")
diff --git a/medcat-v2/tests/components/addons/meta_cat/test_meta_cat2.py b/medcat-v2/tests/components/addons/meta_cat/test_meta_cat2.py
index 93d89a876..9fdf7c0b2 100644
--- a/medcat-v2/tests/components/addons/meta_cat/test_meta_cat2.py
+++ b/medcat-v2/tests/components/addons/meta_cat/test_meta_cat2.py
@@ -2,14 +2,18 @@
 import shutil
 import unittest
 from typing import cast
+import tempfile
 
 from transformers import AutoTokenizer
 
-from medcat.components.addons.meta_cat import MetaCAT
+from medcat.components.addons.meta_cat import MetaCAT, MetaCATAddon
 from medcat.config.config_meta_cat import ConfigMetaCAT
 from medcat.components.addons.meta_cat.mctokenizers.bert_tokenizer import (
     TokenizerWrapperBERT)
 from medcat.storage.serialisers import deserialise, serialise
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.vocab import Vocab
 
 import spacy
 from spacy.tokens import Span
@@ -115,5 +119,80 @@ def test_two_phase(self):
         self.meta_cat.config.model.phase_number = 0
 
 
+class MetaCATInCATTests(unittest.TestCase):
+    META_CAT_JSON_PATH = os.path.join(
+        RESOURCES_PATH, "mct_export_for_meta_cat_full_text.json")
+
+    @classmethod
+    def _get_meta_cat(cls, meta_cat_dir: str):
+        config = ConfigMetaCAT()
+        config.general.category_name = "Status"
+        config.general.category_value2id = {'Other': 0, 'Confirmed': 1}
+        config.train.auto_save_model = False
+        config.model.model_name = 'bert'
+        config.model.model_freeze_layers = False
+        config.model.num_layers = 10
+        config.train.lr = 0.001
+        config.train.nepochs = 20
+        config.train.class_weights = [0.75, 0.3]
+        config.train.metric['base'] = 'macro avg'
+
+        meta_cat = MetaCAT(tokenizer=TokenizerWrapperBERT(
+            AutoTokenizer.from_pretrained("bert-base-uncased")),
+                           embeddings=None,
+                           config=config)
+        os.makedirs(meta_cat_dir, exist_ok=True)
+        json_path = cls.META_CAT_JSON_PATH
+        meta_cat.train_from_json(json_path, save_dir_path=meta_cat_dir)
+        return meta_cat
+
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.cdb = CDB.load(os.path.join(RESOURCES_PATH, "cdb_meta.zip"))
+        cls.vocab = Vocab.load(os.path.join(RESOURCES_PATH, "vocab_meta.zip"))
+        cls.vocab.init_cumsums()
+        cls._temp_logs_folder = tempfile.TemporaryDirectory()
+        cls.temp_dir = tempfile.TemporaryDirectory()
+        cls.cdb.config.general.nlp.provider = "spacy"
+        cls.cdb.config.general.nlp.modelname = "en_core_web_md"
+        cls.cdb.config.components.ner.min_name_len = 2
+        cls.cdb.config.components.ner.upper_case_limit_len = 3
+        cls.cdb.config.general.spell_check = True
+        cls.cdb.config.components.linking.train_count_threshold = 10
+        cls.cdb.config.components.linking.similarity_threshold = 0.3
+        cls.cdb.config.components.linking.train = True
+        cls.cdb.config.components.linking.disamb_length_limit = 5
+        cls.cdb.config.general.full_unlink = True
+        cls.cdb.config.general.usage_monitor.enabled = True
+        cls.cdb.config.general.usage_monitor.log_folder = (
+            cls._temp_logs_folder.name)
+        cls.meta_cat_dir = os.path.join(
+            os.path.dirname(os.path.realpath(__file__)), "tmp")
+        cls.meta_cat = cls._get_meta_cat(cls.meta_cat_dir)
+        cls.cat = CAT(cdb=cls.cdb, config=cls.cdb.config, vocab=cls.vocab)
+        addon = MetaCATAddon(
+            cls.meta_cat.config, cls.cat.pipe.tokenizer, cls.meta_cat)
+        cls.cat.add_addon(addon)
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        if os.path.exists(cls.meta_cat_dir):
+            shutil.rmtree(cls.meta_cat_dir)
+        cls._temp_logs_folder.cleanup()
+        cls.temp_dir.cleanup()
+
+    def test_meta_cat_through_cat(self):
+        text = ("This information is just to add text. The patient "
+                "denied history of heartburn and/or gastroesophageal "
+                "reflux disorder. He recently had a stroke in the last week.")
+        entities = self.cat.get_entities(text)
+        meta_status_values = []
+        for en in entities['entities']:
+            meta_status_values.append(entities['entities'][en][
+                'meta_anns']['Status']['value'])
+
+        self.assertEqual(meta_status_values, ['Other', 'Other', 'Confirmed'])
+
+
 if __name__ == '__main__':
     unittest.main()
diff --git a/medcat-v2/tests/components/helper.py b/medcat-v2/tests/components/helper.py
index 368a91473..9513f3c43 100644
--- a/medcat-v2/tests/components/helper.py
+++ b/medcat-v2/tests/components/helper.py
@@ -40,13 +40,32 @@ def setUpClass(cls):
         cls.vtokenizer = FTokenizer()
         cls.comp_cnf: ComponentConfig = getattr(
             cls.cnf.components, cls.comp_type.name)
+        if isinstance(cls.default_creator, Type):
+            cls._def_creator_name_opts = (cls.default_creator.__name__,)
+        else:
+            # classmethod
+            cls._def_creator_name_opts = (".".join((
+                # etiher class.method_name
+                cls.default_creator.__self__.__name__,
+                cls.default_creator.__name__)),
+                # or just method_name
+                cls.default_creator.__name__
+                )
 
     def test_has_default(self):
         avail_components = types.get_registered_components(self.comp_type)
         self.assertEqual(len(avail_components), self.expected_def_components)
         name, cls_name = avail_components[0]
-        self.assertEqual(name, self.default)
-        self.assertIs(cls_name, self.default_creator.__name__)
+        # 1 name / cls name
+        eq_name = [name == self.default for name, _ in avail_components]
+        eq_cls = [cls_name in self._def_creator_name_opts
+                  for _, cls_name in avail_components]
+        self.assertEqual(sum(eq_name), 1)
+        # NOTE: for NER both the default as well as the Dict based NER
+        #       have the came class name, so may be more than 1
+        self.assertGreaterEqual(sum(eq_cls), 1)
+        # needs to have the same class where name is equal
+        self.assertTrue(eq_cls[eq_name.index(True)])
 
     def test_can_create_def_component(self):
         component = types.create_core_component(
diff --git a/medcat-v2/tests/components/linking/test_context_based_linker.py b/medcat-v2/tests/components/linking/test_context_based_linker.py
index 119cc7278..a295f0f67 100644
--- a/medcat-v2/tests/components/linking/test_context_based_linker.py
+++ b/medcat-v2/tests/components/linking/test_context_based_linker.py
@@ -1,4 +1,5 @@
 from medcat.components.linking import context_based_linker
+from medcat.components.types import _DEFAULT_LINKING as DEF_LINKING
 from medcat.components import types
 from medcat.config import Config
 from medcat.vocab import Vocab
@@ -35,7 +36,7 @@ def weighted_average_function(self, nr: int) -> float:
 
 
 class LinkingInitTests(ComponentInitTests, unittest.TestCase):
-    expected_def_components = 3
+    expected_def_components = len(DEF_LINKING)
     comp_type = types.CoreComponentType.linking
     default_cls = context_based_linker.Linker
     default_creator = context_based_linker.Linker.create_new_component
diff --git a/medcat-v2/tests/components/linking/test_embedding_linker.py b/medcat-v2/tests/components/linking/test_embedding_linker.py
new file mode 100644
index 000000000..187bc2189
--- /dev/null
+++ b/medcat-v2/tests/components/linking/test_embedding_linker.py
@@ -0,0 +1,67 @@
+from medcat.components.linking import embedding_linker
+from medcat.components import types
+from medcat.config import Config
+from medcat.vocab import Vocab
+from medcat.cdb.concepts import CUIInfo, NameInfo
+from medcat.components.types import TrainableComponent
+from medcat.components.types import _DEFAULT_LINKING as DEF_LINKING
+import unittest
+from ..helper import ComponentInitTests
+
+class FakeDocument:
+    linked_ents = []
+    ner_ents = []
+    def __init__(self, text):
+        self.text = text
+
+class FakeTokenizer:
+    def __call__(self, text: str) -> FakeDocument:
+        return FakeDocument(text)
+
+class FakeCDB:
+    def __init__(self, config: Config):
+        self.is_dirty = False
+        self.config = config
+        self.cui2info: dict[str, CUIInfo] = dict()
+        self.name2info: dict[str, NameInfo] = dict()
+        self.name_separator: str
+
+    def weighted_average_function(self, nr: int) -> float:
+        return nr // 2.0
+
+
+class EmbeddingLinkerInitTests(ComponentInitTests, unittest.TestCase):
+    expected_def_components = len(DEF_LINKING)
+    comp_type = types.CoreComponentType.linking
+    default = 'medcat2_embedding_linker'
+    default_cls = embedding_linker.Linker
+    default_creator = embedding_linker.Linker.create_new_component
+    module = embedding_linker
+
+    @classmethod
+    def setUpClass(cls):
+        cls.cnf = Config()
+        cls.cnf.components.linking = embedding_linker.EmbeddingLinking()
+        cls.cnf.components.linking.comp_name = embedding_linker.Linker.name
+        cls.fcdb = FakeCDB(cls.cnf)
+        cls.fvocab = Vocab()
+        cls.vtokenizer = FakeTokenizer()
+        cls.comp_cnf = getattr(cls.cnf.components, cls.comp_type.name)
+
+    def test_has_default(self):
+        avail_components = types.get_registered_components(self.comp_type)
+        registered_names = [name for name, _ in avail_components]
+        self.assertIn("medcat2_embedding_linker", registered_names)
+
+class NonTrainableEmbeddingLinkerTests(unittest.TestCase):
+    cnf = Config()
+    cnf.components.linking = embedding_linker.EmbeddingLinking()
+    cnf.components.linking.comp_name = embedding_linker.Linker.name
+    linker = embedding_linker.Linker(FakeCDB(cnf), cnf)
+
+    def test_linker_is_not_trainable(self):
+        self.assertNotIsInstance(self.linker, TrainableComponent)
+
+    def test_linker_processes_document(self):
+        doc = FakeDocument("Test Document")
+        self.linker(doc) 
\ No newline at end of file
diff --git a/medcat-v2/tests/components/ner/test_vocab_based_ner.py b/medcat-v2/tests/components/ner/test_vocab_based_ner.py
index 5a971b8aa..5c0ca03fe 100644
--- a/medcat-v2/tests/components/ner/test_vocab_based_ner.py
+++ b/medcat-v2/tests/components/ner/test_vocab_based_ner.py
@@ -26,7 +26,7 @@ def __init__(self, config: Config):
 
 
 class NerInitTests(ComponentInitTests, unittest.TestCase):
-    expected_def_components = 3
+    expected_def_components = len(types._DEFAULT_NER)
     comp_type = types.CoreComponentType.ner
     default_cls = vocab_based_ner.NER
     default_creator = vocab_based_ner.NER.create_new_component
diff --git a/medcat-v2/tests/components/ner/trf/test_transformers_ner.py b/medcat-v2/tests/components/ner/trf/test_transformers_ner.py
index 5fc11906e..399ec50d2 100644
--- a/medcat-v2/tests/components/ner/trf/test_transformers_ner.py
+++ b/medcat-v2/tests/components/ner/trf/test_transformers_ner.py
@@ -14,12 +14,13 @@
 from medcat.model_creation.cdb_maker import CDBMaker
 from transformers import TrainerCallback
 
-from unittest import TestCase
+from unittest import TestCase, skipIf
 import unittest.mock
 
 from ...addons.meta_cat.test_meta_cat import FakeTokenizer
 from ....pipeline.test_pipeline import FakeCDB, Config
 from .... import RESOURCES_PATH
+from ....utils.ner.test_deid import is_macos_on_ci
 
 
 class TransformersNERTests(TestCase):
@@ -280,6 +281,8 @@ def test_ignore_extra_labels(self):
         )
 
 
+@skipIf(not is_macos_on_ci(),
+        "MacOS on workflow doesn't have enough memory")
 class AdditionalTransfromersNERTests(TestCase):
     TOKENIZER = FakeTokenizer()
     CNF = ConfigTransformersNER()
diff --git a/medcat-v2/tests/config/test_config_import_no_warnings.py b/medcat-v2/tests/config/test_config_import_no_warnings.py
new file mode 100644
index 000000000..fa4aca415
--- /dev/null
+++ b/medcat-v2/tests/config/test_config_import_no_warnings.py
@@ -0,0 +1,37 @@
+from unittest import TestCase
+
+import sys
+import subprocess
+
+
+def _import_in_subprocess(module_name: str):
+    code = f"""
+import warnings, importlib
+with warnings.catch_warnings(record=True) as w:
+    warnings.simplefilter("always")
+    importlib.import_module('{module_name}')
+    assert not w
+    """
+    res = subprocess.run([sys.executable, "-c", code],
+                         capture_output=True, text=True)
+    res.check_returncode()
+    return res.stdout
+
+
+class TestConfigImportHasNoWarnings(TestCase):
+    pkg = "medcat.config.config"
+
+    def test_has_no_warnings(self):
+        _import_in_subprocess(self.pkg)
+
+
+class TestConfigMetaCATImportHasNoWarnings(TestConfigImportHasNoWarnings):
+    pkg = "medcat.config.config_meta_cat"
+
+
+class TestConfigRelCATImportHasNoWarnings(TestConfigImportHasNoWarnings):
+    pkg = "medcat.config.config_rel_cat"
+
+
+class TestConfigTrfNerImportHasNoWarnings(TestConfigImportHasNoWarnings):
+    pkg = "medcat.config.config_transformers_ner"
diff --git a/medcat-v2/tests/model_creation/test_cdb_maker.py b/medcat-v2/tests/model_creation/test_cdb_maker.py
index daec0a4e1..4fc5e4415 100644
--- a/medcat-v2/tests/model_creation/test_cdb_maker.py
+++ b/medcat-v2/tests/model_creation/test_cdb_maker.py
@@ -2,6 +2,7 @@
 import logging
 import os
 import numpy as np
+import pandas as pd
 from medcat.model_creation.cdb_maker import CDBMaker
 from medcat.cdb import CDB
 from medcat.config import Config
@@ -15,12 +16,15 @@
 
 
 class CDBMakerBaseTests(unittest.TestCase):
+    use_spacy = False
 
     @classmethod
     def setUpClass(cls):
         cls.config = Config()
         cls.config.general.log_level = logging.DEBUG
-        cls.config.general.nlp.modelname = "en_core_web_md"
+        if cls.use_spacy:
+            cls.config.general.nlp.provider = 'spacy'
+            cls.config.general.nlp.modelname = "en_core_web_md"
         cls.maker = CDBMaker(cls.config)
         csvs = [
             os.path.join(MODEL_CREATION_RES_PATH, 'cdb.csv'),
@@ -29,6 +33,40 @@ def setUpClass(cls):
         cls.cdb = cls.maker.prepare_csvs(csvs, full_build=True)
 
 
+class MakeWithDashes(CDBMakerBaseTests):
+    cui = '69482004'
+    namelist = ["Korsakoff's psychosis",
+                'Wernicke-Korsakoff syndrome',
+                'Korsakov syndrome - alcoholic']
+    expected_names = [
+        # NOTE: whitespace and punctuation (e.g spaces, dashes)
+        #       are replaced with separator (~) here
+        #       and names are lower case
+        #       notably, only 1 separator at a time is shown
+        "korsakoff~s~psychosis",
+        "wernicke~korsakoff~syndrome",
+        "korsakov~syndrome~alcoholic",
+    ]
+    cui_df = pd.DataFrame({'cui': cui, 'name': namelist})
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        cls.maker.prepare_csvs([cls.cui_df, ], full_build=True)
+
+    def test_has_cui(self):
+        self.assertIn(self.cui, self.cdb.cui2info)
+
+    def test_has_full_names(self):
+        for name in self.expected_names:
+            with self.subTest(f"Name: {name}"):
+                self.assertIn(name, self.cdb.name2info.keys())
+
+
+class MakeWithDashesSpacy(MakeWithDashes):
+    use_spacy = True
+
+
 class CDBMakerLoadTests(CDBMakerBaseTests):
     EXPECTED_NAMES = {
         'C0000039': {'virus~k', 'virus', 'virus~m', 'virus~z'},
diff --git a/medcat-v2/tests/resources/cdb_meta.csv b/medcat-v2/tests/resources/cdb_meta.csv
new file mode 100644
index 000000000..e0752c5d3
--- /dev/null
+++ b/medcat-v2/tests/resources/cdb_meta.csv
@@ -0,0 +1,5 @@
+cui,name,ontologies,name_status,type_ids,description
+C0000039,"gastroesophageal reflux",,,T234,
+C0000239,"heartburn",,,,
+C0000339,"hypertension",,,,
+C0000439,"stroke",,,,
\ No newline at end of file
diff --git a/medcat-v2/tests/resources/cdb_meta.zip b/medcat-v2/tests/resources/cdb_meta.zip
new file mode 100644
index 000000000..5805013a1
Binary files /dev/null and b/medcat-v2/tests/resources/cdb_meta.zip differ
diff --git a/medcat-v2/tests/resources/mct2_model_pack.zip b/medcat-v2/tests/resources/mct2_model_pack.zip
index f8fe0d457..b6bc74e49 100644
Binary files a/medcat-v2/tests/resources/mct2_model_pack.zip and b/medcat-v2/tests/resources/mct2_model_pack.zip differ
diff --git a/medcat-v2/tests/resources/mct_export_for_meta_cat_full_text.json b/medcat-v2/tests/resources/mct_export_for_meta_cat_full_text.json
new file mode 100644
index 000000000..e5a503578
--- /dev/null
+++ b/medcat-v2/tests/resources/mct_export_for_meta_cat_full_text.json
@@ -0,0 +1,10671 @@
+{
+    "projects": [
+        {
+            "name": "MT Samples (Clone)",
+            "id": 14,
+            "cuis": "",
+            "tuis": "T047,T048",
+            "documents": [
+                {
+                    "id": 3204,
+                    "name": "1687",
+                    "text": "SUBJECTIVE: , The patient is a 60-year-old female, who complained of coughing during meals.  Her outpatient evaluation revealed a mild-to-moderate cognitive linguistic deficit, which was completed approximately 2 months ago.  The patient had a history of hypertension and TIA/stroke.  The patient denied history of heartburn and/or gastroesophageal reflux disorder.  A modified barium swallow study was ordered to objectively evaluate the patient's swallowing function and safety and to rule out aspiration.,OBJECTIVE: , Modified barium swallow study was performed in the Radiology Suite in cooperation with Dr. ABC.  The patient was seated upright in a video imaging chair throughout this assessment.  To evaluate the patient's swallowing function and safety, she was administered graduated amounts of liquid and food mixed with barium in the form of thin liquid (teaspoon x2, cup sip x2); nectar-thick liquid (teaspoon x2, cup sip x2); puree consistency (teaspoon x2); and solid food consistency (1/4 cracker x1).,ASSESSMENT,ORAL STAGE:,  Premature spillage to the level of the valleculae and pyriform sinuses with thin liquid.  Decreased tongue base retraction, which contributed to vallecular pooling after the swallow.,PHARYNGEAL STAGE: , No aspiration was observed during this evaluation.  Penetration was noted with cup sips of thin liquid only.  Trace residual on the valleculae and on tongue base with nectar-thick puree and solid consistencies.  The patient's hyolaryngeal elevation and anterior movement are within functional limits.  Epiglottic inversion is within functional limits.,CERVICAL ESOPHAGEAL STAGE:  ,The patient's upper esophageal sphincter opening is well coordinated with swallow and readily accepted the bolus.  Radiologist noted reduced peristaltic action of the constricted muscles in the esophagus, which may be contributing to the patient's complaint of globus sensation.,DIAGNOSTIC IMPRESSION:,  No aspiration was noted during this evaluation.  Penetration with cup sips of thin liquid.  The patient did cough during this evaluation, but that was noted related to aspiration or penetration.,PROGNOSTIC IMPRESSION: ,Based on this evaluation, the prognosis for swallowing and safety is good.,PLAN: , Based on this evaluation and following recommendations are being made:,1.  The patient to take small bite and small sips to help decrease the risk of aspiration and penetration.,2.  The patient should remain upright at a 90-degree angle for at least 45 minutes after meals to decrease the risk of aspiration and penetration as well as to reduce her globus sensation.,3.  The patient should be referred to a gastroenterologist for further evaluation of her esophageal function.,The patient does not need any skilled speech therapy for her swallowing abilities at this time, and she is discharged from my services.",
+                    "last_modified": "2020-03-29 14:43:25.537525+00:00",
+                    "annotations": [
+                        {
+                            "id": 45580,
+                            "user": "wish",
+                            "cui": "C0017168",
+                            "value": "gastroesophageal reflux",
+                            "start": 332,
+                            "end": 355,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:34.303633+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45581,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 255,
+                            "end": 267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:30.394941+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45582,
+                            "user": "wish",
+                            "cui": "C0012634",
+                            "value": "disorder",
+                            "start": 356,
+                            "end": 364,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:06:48.174475+00:00",
+                            "manually_created": false,
+                            "acc": 0.364258020093567,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45583,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "stroke",
+                            "start": 276,
+                            "end": 282,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:33.410261+00:00",
+                            "manually_created": false,
+                            "acc": 0.39498916376357734,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45584,
+                            "user": "wish",
+                            "cui": "C0007787",
+                            "value": "TIA",
+                            "start": 272,
+                            "end": 275,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:32.727096+00:00",
+                            "manually_created": false,
+                            "acc": 0.43553226241827225,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3205,
+                    "name": "1605",
+                    "text": "CHIEF COMPLAINT: , Chest pain and fever.,HISTORY OF PRESENT ILLNESS: , This 48-year-old white married female presents in the emergency room after two days of increasing fever with recent diagnosis of urinary tract infection on outpatient treatment with nitrofurantoin.  The patient noted since she began to feel poorly earlier on the day of admission, had an episode of substernal chest discomfort that was associated with nausea, dizziness, and sweating.  The patient does have a past medical history of diabetes and hypertension.  In addition, the patient complained of some neck and head discomfort for which she underwent a lumbar puncture in the emergency room; this was normal, causes turned out to be normal as well.  The patient denies nosebleed, visual changes, nausea, vomiting, diarrhea or changes in bowel habits.  She has not had any musculoskeletal or neurological deficits.  She denies any rashes or skin lesions.,PAST MEDICAL HISTORY:  ,Hypertension, diabetes, hyperlipidemia, particularly elevated triglycerides with a slightly elevated LDL at 81 with an new standard LDL of 74, diabetics with a bad family history for cardiovascular disease such as this patient does have, and postmenopausal hot flashes.,PAST SURGICAL HISTORY:  ,Cholecystectomy, appendectomy, oophorectomy.,FAMILY HISTORY: , Positive for coronary artery disease in her father and brother in their 40s.,SOCIAL HISTORY: , She is married and does not smoke or drink nor did she ever.,PHYSICAL EXAMINATION: , On admission, temperature 99.4 degrees F., blood pressure 137/60, pulse 90 and regular without ectopy, respiratory rate 20 without unusual respiratory effort.  In general, she is well developed, well nourished, oriented, and alert and in no apparent distress.  Head, ears, eyes, nose, and throat are unremarkable.  Neck is supple.  No neck vein distention is noted.  No bruits are heard.  Chest is clear to percussion and auscultation.  Heart has a regular rhythm and rate without murmurs or rubs or gallops.  Abdomen is soft, obese, and nontender.  Musculoskeletal is intact without deformity.  However, the patient did develop severe cramp behind her left knee during her treadmill testing.  Neurologic:  Cranial nerves are intact and she is nonfocal.  Skin is warm and dry without rash or lesions noted.,LABORATORY FINDINGS: , Glucose 162, BUN 14, creatinine 1.0, sodium 137, potassium 3.6, chloride 103, bicarbonate 23, protein 4.2.  Liver function panel is normal.  CK was 82.  MB fraction was 1.0.  Troponin was less than 0.1 on three occasions.  White count was 12,200 with a normal differential, hemoglobin was 12.1, platelet count 230,000.  Urinalysis showed positive nitrites, positive leukocyte esterase, 5 to 10 white cells per high power field, and 1+ bacteria rods.  Spinal fluid was clear with 11 red cells, glucose 75, protein 67, white count 0.  EKG was normal.,DIAGNOSES ON ADMISSION:,1.  Urinary tract infection.,2.  Chest pain of unclear etiology, rule out myocardial infarction.,3.  Neck and back pain of unclear etiology with a negative spinal tap.,4.  Hypertension.,5.  Diabetes type II, not treated with insulin.,6.  Hyperlipidemia treated with TriCor but not statins.,7.  Arthritis.,ADDITIONAL LABORATORY STUDIES:,  B-natriuretic peptide was 26.  Urine smear and culture negative on 24 and 48 hours.  Chest x-ray was negative.  Lipid panel - triglycerides 249, VLDL 49, HDL 33, LDL 81.,COURSE IN THE HOSPITAL: , The patient was placed on home medications.  This will be listed at the end of the discharge summary.  She was put on rule out acute myocardial infarction routine, and she did in fact rule out.  She had a stress test completed on the day of discharge which was normal, and she was discharged with a diagnoses of chest pain, acute myocardial infarction ruled out, urinary tract infection, fever secondary to UTI, diabetes mellitus type 2 non-insulin treated, hyperlipidemia with elevated triglycerides and an LDL elevated to 81 with new normal being less than 70.  She has a strong family history of early myocardial disease in the men in their 40s.,DISCHARGE MEDICATIONS:,1.  Enteric-coated aspirin 81 mg one daily.  This is new, as the patient was not taking aspirin at home.,2.  TriCor 48 mg one daily.,3.  Zantac 40 mg one daily.,4.  Lisinopril 20 mg one daily.,5.  Mobic 75 mg one daily for arthritis.,6.  Metformin 500 mg one daily.,7.  Macrodantin one two times a day for several more days.,8.  Zocor 20 mg one daily, which is a new addition.,9.  Effexor XR 37.5 mg one daily.,DIET: , ADA 1800-calorie diet.,ACTIVITY:,  As tolerated.  Continue water exercise five days a week.,DISPOSITION: , Recheck at Hospital with a regular physician there in 1 week.  Consider Byetta as an adjunct to her diabetic treatment and efforts to weight control.",
+                    "last_modified": "2020-03-29 14:43:25.538333+00:00",
+                    "annotations": [
+                        {
+                            "id": 45585,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 3555,
+                            "end": 3582,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:02.455949+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45586,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 3752,
+                            "end": 3779,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:05.459069+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45587,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes mellitus type 2",
+                            "start": 3840,
+                            "end": 3864,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:10.676220+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45588,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 200,
+                            "end": 223,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:57.312323+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45589,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "Urinary tract infection",
+                            "start": 2898,
+                            "end": 2921,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:51.028108+00:00",
+                            "manually_created": false,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45590,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3791,
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+                            "last_modified": "2020-04-01 22:08:08.633594+00:00",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45591,
+                            "user": "wish",
+                            "cui": "C0010068",
+                            "value": "coronary artery disease",
+                            "start": 1324,
+                            "end": 1347,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                            "last_modified": "2020-04-01 22:07:39.702986+00:00",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45592,
+                            "user": "wish",
+                            "cui": "C0007222",
+                            "value": "cardiovascular disease",
+                            "start": 1136,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45593,
+                            "user": "wish",
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+                            "value": "myocardial infarction",
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+                            "deleted": false,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45594,
+                            "user": "wish",
+                            "cui": "C0878544",
+                            "value": "myocardial disease",
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45595,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes type II",
+                            "start": 3084,
+                            "end": 3100,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:57.136409+00:00",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45596,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 977,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:35.202838+00:00",
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45597,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "Hyperlipidemia",
+                            "start": 3132,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:58.301306+00:00",
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45598,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 3886,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:11.504493+00:00",
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+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45599,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 518,
+                            "end": 530,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:19.824713+00:00",
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+                                    "value": "Confirmed",
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+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45600,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 915,
+                            "end": 927,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:30.761228+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45601,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
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+                            "validated": true,
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+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:31.752120+00:00",
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+                                    "value": "Confirmed",
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+                        },
+                        {
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+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:55.539090+00:00",
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+                            "acc": 1.0,
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45603,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "Arthritis",
+                            "start": 3188,
+                            "end": 3197,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:01.409098+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45604,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "arthritis",
+                            "start": 4323,
+                            "end": 4332,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:17.017254+00:00",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                            ]
+                        },
+                        {
+                            "id": 45605,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 505,
+                            "end": 513,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:10.971059+00:00",
+                            "manually_created": false,
+                            "acc": 0.6018078580960269,
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+                            ]
+                        },
+                        {
+                            "id": 45606,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
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+                            "end": 975,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:34.520090+00:00",
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+                            ]
+                        },
+                        {
+                            "id": 45607,
+                            "user": "wish",
+                            "cui": "C0338614",
+                            "value": "episode",
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+                            "end": 366,
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+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
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+                            "acc": 0.4721907772509702,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45608,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2283,
+                            "end": 2290,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:42.009112+00:00",
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+                            "acc": 0.4283007394246088,
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+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45609,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "UTI",
+                            "start": 3835,
+                            "end": 3838,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:09.822242+00:00",
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+                            "acc": 0.46978565675753237,
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+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3206,
+                    "name": "466",
+                    "text": "HISTORY OF PRESENT ILLNESS: , The patient is a 45-year-old male complaining of abdominal pain.  The patient also has a long-standing history of diabetes which is treated with Micronase daily.,PAST MEDICAL HISTORY: , There is no significant past medical history noted today.,PHYSICAL EXAMINATION:,HEENT:  Patient denies ear abnormalities, nose abnormalities and throat abnormalities.,Cardio:  Patient has history of elevated cholesterol, but does not have ASHD, hypertension and PVD.,Resp:  Patient denies asthma, lung infections and lung lesions.,GI:  Patient denies colon abnormalities, gall bladder problems, liver abnormalities and peptic ulcer disease.,GU:  Patient has history of Urinary tract disorder, but does not have Bladder disorder and Kidney disorder.,Endocrine:  Patient has history of diabetes, but does not have hormonal irregularities and thyroid abnormalities.,Dermatology:  Patient denies allergic reactions, rashes and skin lesions.,MEDS:,  Micronase 2.5 mg Tab PO QAM #30.  Bactrim 400/80 Tab PO BID #30.,SOCIAL HISTORY:,  No known history of drug or alcohol abuse.  Work, diet, and exercise patterns are within normal limits.,FAMILY HISTORY:,  No significant family history.,REVIEW OF SYSTEMS:,  Non-contributory.,Vital Signs:  Height = 72 in.  Weight =184 lbs.  Upright BP = 120/80 mmHg.  Pulse = 80 bpm.  Resp =12 pm.  Patient is afebrile.,Neck:  The neck is supple.  There is no jugular venous distension.  The thyroid is nontender, or normal size and conto.,Lungs:  Lung expansion and excursions are symmetric.  The lungs are clear to auscultation and percussion.,Cardio:  There is a regular rhythm.  SI and S2 are normal.  No abnormal heart sounds are detected.  Blood pressure is equal bilaterally.,Abdomen:  Normal bowel sounds are present.  The abdomen is soft; The abdomen is nontender; without organomegaly; There is no CVA tenderness.  No hernias are noted.,Extremities:  There is no clubbing, cyanosis, or edema.,ASSESSMENT: , Diabetes type II uncontrolled.  Acute cystitis.,PLAN: , Endocrinology Consult, complete CBC.  ,RX: , Micronase 2.5 mg Tab PO QAM #30, Bactrim 400/80 Tab PO BID #30.",
+                    "last_modified": "2020-03-29 14:43:25.538944+00:00",
+                    "annotations": [
+                        {
+                            "id": 45610,
+                            "user": "wish",
+                            "cui": "C0005686",
+                            "value": "Bladder disorder",
+                            "start": 727,
+                            "end": 743,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:04.963047+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45611,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes type II",
+                            "start": 1961,
+                            "end": 1977,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:22.971441+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45612,
+                            "user": "wish",
+                            "cui": "C0085762",
+                            "value": "alcohol abuse",
+                            "start": 1072,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:16.543377+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45613,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 461,
+                            "end": 473,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:39.944840+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45614,
+                            "user": "wish",
+                            "cui": "C0030920",
+                            "value": "peptic ulcer",
+                            "start": 635,
+                            "end": 647,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:55.170764+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45615,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 939,
+                            "end": 951,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:09.327632+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45616,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infections",
+                            "start": 518,
+                            "end": 528,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:45.078963+00:00",
+                            "manually_created": false,
+                            "acc": 0.2189961876901541,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45617,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 144,
+                            "end": 152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:26.019432+00:00",
+                            "manually_created": false,
+                            "acc": 0.6189171698870887,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45618,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 800,
+                            "end": 808,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:07.314908+00:00",
+                            "manually_created": false,
+                            "acc": 0.6618118296206791,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45619,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 538,
+                            "end": 545,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:47.360059+00:00",
+                            "manually_created": false,
+                            "acc": 0.2678316210771088,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45620,
+                            "user": "wish",
+                            "cui": "C0002395",
+                            "value": "disease",
+                            "start": 648,
+                            "end": 655,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:59.745959+00:00",
+                            "manually_created": false,
+                            "acc": 0.4166455409661361,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45621,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 505,
+                            "end": 511,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:42.301508+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45622,
+                            "user": "wish",
+                            "cui": "C0007222",
+                            "value": "Cardio",
+                            "start": 383,
+                            "end": 389,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:35.661505+00:00",
+                            "manually_created": false,
+                            "acc": 0.3241157459179974,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45623,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver",
+                            "start": 611,
+                            "end": 616,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:53.437013+00:00",
+                            "manually_created": false,
+                            "acc": 0.44179782307727244,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45624,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "ASHD",
+                            "start": 455,
+                            "end": 459,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:37.658986+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45625,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug",
+                            "start": 1064,
+                            "end": 1068,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:09:15.003931+00:00",
+                            "manually_created": false,
+                            "acc": 0.5135172722580458,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45626,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "CVA",
+                            "start": 1852,
+                            "end": 1855,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:19.052860+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3207,
+                    "name": "1383",
+                    "text": "CHIEF COMPLAINT:,  Toothache.,HISTORY OF PRESENT ILLNESS:  ,This is a 29-year-old male who has had multiple problems with his teeth due to extensive dental disease and has had many of his teeth pulled.  Complains of new tooth pain.  The patient states his current toothache is to both upper and lower teeth on the left side for approximately three days.  The patient states that he would have gone to see his regular dentist but he has missed so many appointments that they now do not allow him to schedule regular appointments, he has to be on standby appointments only.  The patient denies any other problems or complaints.  The patient denies any recent illness or injuries.  The patient does have OxyContin and Vicodin at home which he uses for his knee pain but he wants more pain medicines because he does not want to use up that medicine for his toothache when he wants to say this with me.,REVIEW OF SYSTEMS: , CONSTITUTIONAL:  No fever or chills.  No fatigue or weakness.  No recent weight change.  HEENT:  No headache, no neck pain, the toothache pain for the past three days as previously mentioned.  There is no throat swelling, no sore throat, no difficulty swallowing solids or liquids.  The patient denies any rhinorrhea.  No sinus congestion, pressure or pain, no ear pain, no hearing change, no eye pain or vision change.  CARDIOVASCULAR:  No chest pain.  RESPIRATIONS:  No shortness of breath or cough.  GASTROINTESTINAL:  No abdominal pain.  No nausea or vomiting.  GENITOURINARY:  No dysuria.  MUSCULOSKELETAL:  No back pain.  No muscle or joint aches.  SKIN:  No rashes or lesions.  NEUROLOGIC:  No vision or hearing change.  No focal weakness or numbness.  Normal speech.  HEMATOLOGIC/LYMPHATIC:  No lymph node swelling has been noted.,PAST MEDICAL HISTORY: , Chronic knee pain.,CURRENT MEDICATIONS: , OxyContin and Vicodin.,ALLERGIES:,  PENICILLIN AND CODEINE.,SOCIAL HISTORY: , The patient is still a smoker.,PHYSICAL EXAMINATION:,  VITAL SIGNS:  Temperature 97.9 oral, blood pressure is 146/83, pulse is 74, respirations 16, oxygen saturation 98% on room air and interpreted as normal.  CONSTITUTIONAL:  The patient is well nourished and well developed.  The patient is a little overweight but otherwise appears to be healthy.  The patient is calm, comfortable, in no acute distress, and looks well.  The patient is pleasant and cooperative.  HEENT:  Eyes are normal with clear conjunctiva and cornea bilaterally.  There is no icterus, injection, or discharge.  Pupils are 3 mm and equally round and reactive to light bilaterally.  There is no absence of light sensitivity or photophobia.  Extraocular motions are intact bilaterally.  Ears are normal bilaterally without any sign of infection.  There is no erythema, swelling of canals.  Tympanic membranes are intact without any erythema, bulging or fluid levels or bubbles behind it.  Nose is normal without rhinorrhea or audible congestion.  There is no tenderness over the sinuses.  NECK:  Supple, nontender, and full range of motion.  There is no meningismus.  No cervical lymphadenopathy.  No JVD.  Mouth and oropharynx shows multiple denture and multiple dental caries.  The patient has tenderness to tooth #12 as well as tooth #21.  The patient has normal gums.  There is no erythema or swelling.  There is no purulent or other discharge noted.  There is no fluctuance or suggestion of abscess.  There are no new dental fractures.  The oropharynx is normal without any sign of infection.  There is no erythema, exudate, lesion or swelling.  The buccal membranes are normal.  Mucous membranes are moist.  The floor of the mouth is normal without any abscess, suggestion of Ludwig's syndrome.  CARDIOVASCULAR:  Heart is regular rate and rhythm without murmur, rub, or gallop.  RESPIRATIONS:  Clear to auscultation bilaterally without shortness of breath.  GASTROINTESTINAL:  Abdomen is normal and nontender.  MUSCULOSKELETAL:  No abnormalities are noted to back, arms and legs.  The patient has normal use of his extremities.  SKIN:  No rashes or lesions.  NEUROLOGIC:  Cranial nerves II through XII are intact.  Motor and sensory are intact to the extremities.  The patient has normal speech and normal ambulation.  PSYCHIATRIC:  The patient is alert and oriented x4.  Normal mood and affect.  HEMATOLOGIC/LYMPHATIC:  No cervical lymphadenopathy is palpated.,EMERGENCY DEPARTMENT COURSE: , The patient did request a pain shot and the patient was given Dilaudid of 4 mg IM without any adverse reaction.,DIAGNOSES:,1.  ODONTALGIA.,2.  MULTIPLE DENTAL CARIES.,CONDITION UPON DISPOSITION:  ,Stable.,DISPOSITION: , To home.,PLAN: , The patient was given a list of local dental clinics that he can follow up with or he can choose to stay with his own dentist that he wishes.  The patient was requested to have reevaluation within two days.  The patient was given a prescription for Percocet and clindamycin.  The patient was given drug precautions for the use of these medicines.  The patient was offered discharge instructions on toothache but states that he already has it.  He declined the instructions.  The patient was asked to return to the emergency room, should he have any worsening of his condition or develop any other problems or symptoms of concern.",
+                    "last_modified": "2020-03-29 14:43:25.539562+00:00",
+                    "annotations": [
+                        {
+                            "id": 45627,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 3053,
+                            "end": 3068,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:58.255255+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45628,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4312,
+                            "end": 4327,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:34.133576+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45629,
+                            "user": "wish",
+                            "cui": "C0011334",
+                            "value": "dental caries",
+                            "start": 3137,
+                            "end": 3150,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:10:01.692775+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45630,
+                            "user": "wish",
+                            "cui": "C0011334",
+                            "value": "DENTAL CARIES",
+                            "start": 4524,
+                            "end": 4537,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:45.517808+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45631,
+                            "user": "wish",
+                            "cui": "C0018939",
+                            "value": "HEMATOLOGIC",
+                            "start": 1695,
+                            "end": 1706,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:34.360399+00:00",
+                            "manually_created": false,
+                            "acc": 0.22995448598124954,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45632,
+                            "user": "wish",
+                            "cui": "C1561826",
+                            "value": "overweight",
+                            "start": 2204,
+                            "end": 2214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:43.609627+00:00",
+                            "manually_created": false,
+                            "acc": 0.40765819622769134,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45633,
+                            "user": "wish",
+                            "cui": "C0276289",
+                            "value": "infection",
+                            "start": 2708,
+                            "end": 2717,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:45.289538+00:00",
+                            "manually_created": false,
+                            "acc": 0.3472818375532451,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45634,
+                            "user": "wish",
+                            "cui": "C0276289",
+                            "value": "infection",
+                            "start": 3460,
+                            "end": 3469,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:17.254714+00:00",
+                            "manually_created": false,
+                            "acc": 0.43685647165296126,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45635,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2732,
+                            "end": 2740,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:51.532677+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45636,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2805,
+                            "end": 2813,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:54.232734+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45637,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 3258,
+                            "end": 3266,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:10:19.475755+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45638,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 3484,
+                            "end": 3492,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:19.847993+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45639,
+                            "user": "wish",
+                            "cui": "C0000833",
+                            "value": "abscess",
+                            "start": 3369,
+                            "end": 3376,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:08.431015+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45640,
+                            "user": "wish",
+                            "cui": "C0000833",
+                            "value": "abscess",
+                            "start": 3632,
+                            "end": 3639,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:27.845421+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45641,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 1594,
+                            "end": 1601,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:31.576589+00:00",
+                            "manually_created": false,
+                            "acc": 0.6099575539229034,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45642,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 4028,
+                            "end": 4035,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:31.816445+00:00",
+                            "manually_created": false,
+                            "acc": 0.5407752127088525,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45643,
+                            "user": "wish",
+                            "cui": "C0238792",
+                            "value": "lesion",
+                            "start": 3503,
+                            "end": 3509,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:24.558034+00:00",
+                            "manually_created": false,
+                            "acc": 0.41279213922918384,
+                            "meta_anns": []
+                        },
+                        {
+                            "id": 45644,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "use",
+                            "start": 4932,
+                            "end": 4935,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:11:50.309731+00:00",
+                            "manually_created": false,
+                            "acc": 0.5099382027049228,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45645,
+                            "user": "wish",
+                            "cui": "C0026896",
+                            "value": "mg",
+                            "start": 4448,
+                            "end": 4450,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:11:38.946152+00:00",
+                            "manually_created": false,
+                            "acc": 0.3147452734907136,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3208,
+                    "name": "898",
+                    "text": "HISTORY: , A 34-year-old male presents today self-referred at the recommendation of Emergency Room physicians and his nephrologist to pursue further allergy evaluation and treatment.  Please refer to chart for history and physical, as well as the medical records regarding his allergic reaction treatment at ABC Medical Center for further details and studies.  In summary, the patient had an acute event of perioral swelling, etiology uncertain, occurring on 05/03/2008 requiring transfer from ABC Medical Center to XYZ Medical Center due to a history of renal failure requiring dialysis and he was admitted and treated and felt that his allergy reaction was to Keflex, which was being used to treat a skin cellulitis dialysis shunt infection.  In summary, the patient states he has some problems with tolerating grass allergies, environmental and inhalant allergies occasionally, but has never had anaphylactic or angioedema reactions.  He currently is not taking any medication for allergies.  He is taking atenolol for blood pressure control.  No further problems have been noted upon his discharge and treatment, which included corticosteroid therapy and antihistamine therapy and monitoring.,PAST MEDICAL HISTORY:,  History of urticaria, history of renal failure with hypertension possible source of renal failure, history of dialysis times 2 years and a history of hypertension.,PAST SURGICAL HISTORY:,  PermCath insertion times 3 and peritoneal dialysis.,FAMILY HISTORY: , Strong for heart disease, carcinoma, and a history of food allergies, and there is also a history of hypertension.,CURRENT MEDICATIONS: , Atenolol, sodium bicarbonate, Lovaza, and Dialyvite.,ALLERGIES: , Heparin causing thrombocytopenia.,SOCIAL HISTORY: , Denies tobacco or alcohol use.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Age 34, blood pressure 128/78, pulse 70, temperature is 97.8, weight is 207 pounds, and height is 5 feet 7 inches.,GENERAL:  The patient is healthy appearing; alert and oriented to person, place and time; responds appropriately; in no acute distress.,HEAD:  Normocephalic.  No masses or lesions noted.,FACE:  No facial tenderness or asymmetry noted.,EYES:  Pupils are equal, round and reactive to light and accommodation bilaterally.  Extraocular movements are intact bilaterally.,EARS:  The tympanic membranes are intact bilaterally with a good light reflex.  The external auditory canals are clear with no lesions or masses noted.  Weber and Rinne tests are within normal limits.,NOSE:  The nasal cavities are patent bilaterally.  The nasal septum is midline.  There are no nasal discharges.  No masses or lesions noted.,THROAT:  The oral mucosa appears healthy.  Dental hygiene is maintained well.  No oropharyngeal masses or lesions noted.  No postnasal drip noted.,NECK:  The neck is supple with no adenopathy or masses palpated.  The trachea is midline.  The thyroid gland is of normal size with no nodules.,NEUROLOGIC:  Facial nerve is intact bilaterally.  The remaining cranial nerves are intact without focal deficit.,LUNGS:  Clear to auscultation bilaterally.  No wheeze noted.,HEART:  Regular rate and rhythm.  No murmur noted.,IMPRESSION:  ,1.  Acute allergic reaction, etiology uncertain, however, suspicious for Keflex.,2.  Renal failure requiring dialysis.,3.  Hypertension.,RECOMMENDATIONS:  ,RAST allergy testing for both food and environmental allergies was performed, and we will get the results back to the patient with further recommendations to follow.  If there is any specific food or inhalant allergen that is found to be quite high on the sensitivity scale, we would probably recommend the patient to avoid the offending agent to hold off on any further reactions.  At this point, I would recommend the patient stopping any further use of cephalosporin antibiotics, which may be the cause of his allergic reaction, and I would consider this an allergy.  Being on atenolol, the patient has a more difficult time treating acute anaphylaxis, but I do think this is medically necessary at this time and hopefully we can find specific causes for his allergic reactions.  An EpiPen was also prescribed in the event of acute angioedema or allergic reaction or sensation of impending allergic reaction and he is aware he needs to proceed directly to the emergency room for further evaluation and treatment recommendations after administration of an EpiPen.",
+                    "last_modified": "2020-03-29 14:43:25.540195+00:00",
+                    "annotations": [
+                        {
+                            "id": 45646,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 1700,
+                            "end": 1716,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:10.552207+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45647,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 555,
+                            "end": 568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:48.914834+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45648,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 1254,
+                            "end": 1267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:52.106478+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45649,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 1305,
+                            "end": 1318,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:54.009724+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45650,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 1491,
+                            "end": 1504,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:57.541986+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45651,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "Renal failure",
+                            "start": 3243,
+                            "end": 3256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:31.998007+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45652,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1273,
+                            "end": 1285,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:53.041028+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45653,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1371,
+                            "end": 1383,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:55.734929+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45654,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1581,
+                            "end": 1593,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:04.949054+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45655,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3281,
+                            "end": 3293,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:35.696490+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45656,
+                            "user": "wish",
+                            "cui": "C0042109",
+                            "value": "urticaria",
+                            "start": 1232,
+                            "end": 1241,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:50.372294+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45657,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2092,
+                            "end": 2099,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:12.152359+00:00",
+                            "manually_created": false,
+                            "acc": 0.3704270896102714,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45658,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2613,
+                            "end": 2620,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:19.128936+00:00",
+                            "manually_created": false,
+                            "acc": 0.3315342964752096,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45659,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2734,
+                            "end": 2741,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:23.941239+00:00",
+                            "manually_created": false,
+                            "acc": 0.30666852142678713,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45660,
+                            "user": "wish",
+                            "cui": "C0267797",
+                            "value": "Acute",
+                            "start": 3162,
+                            "end": 3167,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:14:30.776289+00:00",
+                            "manually_created": false,
+                            "acc": 0.3295163435531775,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3209,
+                    "name": "1734",
+                    "text": "REASON FOR CONSULTATION:,  Cardiac evaluation.,HISTORY: , This is a 42-year old Caucasian male with no previous history of hypertension, diabetes mellitus, rheumatic fever, rheumatic heart disease, or gout.  Patient used to take medicine for hyperlipidemia and then that was stopped.  He used to live in Canada and he moved to Houston four months ago.  He started complaining of right-sided upper chest pain, starts at the right neck and goes down to the right side.  It lasts around 10-15 minutes at times.  It is 5/10 in quality.  It is not associated with shortness of breath, nausea, vomiting, or sweating.  It is not also associated with food.  He denies exertional chest pain, dyspnea on exertion, orthopnea, paroxysmal nocturnal dyspnea, or pedal edema.  No palpitations, syncope or presyncope.  He said he has been having little cough at night and he went to see an allergy doctor who prescribed several medications for him and told him that he has asthma.  No fever, chills, cough, hemoptysis, hematemesis or hematochezia.  His EKG shows normal sinus rhythm, normal EKG.,PAST MEDICAL HISTORY:,  Unremarkable, except for hyperlipidemia.,SOCIAL HISTORY: , He said he quit smoking 20 years ago and does not drink alcohol.,FAMILY HISTORY: , Positive for high blood pressure and heart disease.  His father died in his 50s with an acute myocardial infarction.,MEDICATION:,  Ranitidine 300 mg daily, Flonase 50 mcg nasal spray as needed, Allegra 100 mg daily, Advair 500/50 bid.,ALLERGIES:,  No known allergies.,REVIEW OF SYSTEMS:,  As mentioned above,EXAMINATION:,  This is a 42-year old male awake, alert, and oriented x3 in no acute distress.,Wt:  238",
+                    "last_modified": "2020-03-29 14:43:25.540767+00:00",
+                    "annotations": [
+                        {
+                            "id": 45661,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 1334,
+                            "end": 1361,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:15.107939+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45662,
+                            "user": "wish",
+                            "cui": "C0035439",
+                            "value": "rheumatic heart disease",
+                            "start": 173,
+                            "end": 196,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:50.850936+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45663,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "high blood pressure",
+                            "start": 1259,
+                            "end": 1278,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:09.809614+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45664,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 137,
+                            "end": 154,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:46.956775+00:00",
+                            "manually_created": false,
+                            "acc": 0.5773470660791813,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45665,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 242,
+                            "end": 256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:58.292795+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45666,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1129,
+                            "end": 1143,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:07.201170+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45667,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 1283,
+                            "end": 1296,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:12.122883+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45668,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 123,
+                            "end": 135,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:43.611443+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45669,
+                            "user": "wish",
+                            "cui": "C0035435",
+                            "value": "rheumatic",
+                            "start": 156,
+                            "end": 165,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:48.795566+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45670,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 957,
+                            "end": 963,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:02.340351+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45671,
+                            "user": "wish",
+                            "cui": "C0018099",
+                            "value": "gout",
+                            "start": 201,
+                            "end": 205,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:53.013518+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3210,
+                    "name": "716",
+                    "text": "REASON FOR CONSULTATION: , Mesothelioma.,HISTORY OF PRESENT ILLNESS: , The patient is a 73-year-old pleasant Caucasian male who is known to me from his previous hospitalization.  He has also been seen by me in the clinic in the last few weeks.  He was admitted on January 18, 2008, with recurrent malignant pleural effusion.  On the same day, he underwent VATS and thoracoscopic drainage of the pleural effusion with right pleural nodule biopsy, lysis of adhesions, and directed talc insufflation by Dr. X.  He was found to have 2.5L of bloody pleural effusions, some loculated pleural effusion, adhesions, and carcinomatosis in the parenchyma.  His hospital course here has been significant for dyspnea, requiring ICU stay.  He also had a chest tube, which was taken out few days ago.  He has also had paroxysmal atrial fibrillation, for which he has been on amiodarone by cardiologist.  The biopsy from the pleural nodule done on the right on January 18, 2008, shows malignant epithelioid neoplasm consistent with mesothelioma.  Immunohistochemical staining showed tumor cells positive for calretinin and focally positive for D2-40, MOC-31.  Tumor cells are negative for CDX-2, and monoclonal CEA.,The patient at this time reports that overall he has been feeling better with decrease in shortness of breath and cough over the last few days.  He does have edema in his lower extremities.  He is currently on 4L of oxygen.  He denies any nausea, vomiting, abdominal pain, recent change in bowel habit, melena, or hematochezia.  No neurological or musculoskeletal signs or symptoms.  He reports that he is able to ambulate to the bathroom, but gets short of breath on exertion.  He denies any other complaints.,PAST MEDICAL HISTORY:,  Left ventricular systolic dysfunction as per the previous echocardiogram done in December 2007, history of pneumonia in December 2007, admitted to XYZ Hospital.  History of recurrent pleural effusions, status post pleurodesis and locally advanced non-small cell lung cancer as per the biopsy that was done in XYZ Hospital.,ALLERGIES:,  No known drug allergies.,CURRENT MEDICATIONS:  ,In the hospital are amiodarone, diltiazem, enoxaparin, furosemide, methylprednisolone, pantoprazole, Zosyn, p.r.n. acetaminophen, and hydrocodone.,SOCIAL HISTORY: , The patient is married and lives with his spouse.  He has history of tobacco smoking and also reports history of alcohol abuse.  No history of illicit drug abuse.,FAMILY HISTORY:  ,Significant for history of ?cancer? in the mother and history of coronary artery disease in the father.,REVIEW OF SYSTEMS: , As stated above.  He denies any obvious asbestos exposure, as far as he can remember.,PHYSICAL EXAMINATION,GENERAL:  He is awake, alert, in no acute distress.  He is currently on 4L of oxygen by nasal cannula.,VITAL SIGNS:  Blood pressure 97/65 mmHg, respiration is 20 per minute, pulse is 72 per minute, and temperature 98.3 degrees Fahrenheit.,HEENT:  No icterus or sinus tenderness.  Oral mucosa is moist.,NECK:  Supple.  No lymphadenopathy.,LUNGS:  Clear to auscultation except few diffuse wheezing present bilaterally.,CARDIOVASCULAR:  S1 and S2 normal.,ABDOMEN:  Soft, nondistended, and nontender.  No hepatosplenomegaly.  Bowel sounds are present in all four quadrants.,EXTREMITIES:  Bilateral pedal edema is present in both the extremities.  No signs of DVT.,NEUROLOGICAL:  Grossly nonfocal.,INVESTIGATION:,  Labs done on January 28, 2008, showed BUN of 23 and creatinine of 0.9.  Liver enzymes checked on January 17, 2008, were unremarkable.  CBC done on January 26, 2008, showed WBC of 19.8, hemoglobin of 10.7, hematocrit of 30.8, and platelet count of 515,000.  Chest x-ray from yesterday shows right-sided Port-A-Cath, diffuse right lung parenchymal and pleural infiltration without change, mild pulmonary vascular congestion.,ASSESSMENT,1.  Mesothelioma versus primary lung carcinoma, two separate reports as for the two separate biopsies done several weeks apart.,2.  Chronic obstructive pulmonary disease.,3.  Paroxysmal atrial fibrillation.,4.  Malignant pleural effusion, status post surgery as stated above.,5.  Anemia of chronic disease.,RECOMMENDATIONS,1.  Compare the slides from the previous biopsy done in December at XYZ Hospital with recurrent pleural nodule biopsy slides.  I have discussed regarding this with Dr. Y in Pathology here at Methodist XYZ Hospital.  I will try to obtain the slides for comparison from XYZ Hospital for comparison and immunohistochemical staining.,2.  I will also discuss with Dr. X and also with intervention radiologist at XYZ Hospital regarding the exact sites of the two biopsies.,3.  Once the results of the above are available, I will make further recommendations regarding treatment.  The patient has significantly decreased performance status with dyspnea on exertion and is being planned for transfer to Triumph Hospital for rehab, which I agree with.,4.  Continue present care.,Discussed regarding the above in great details with the patient and his wife and daughter and answered the questions to their satisfaction.  They clearly understand the above.  They also understand his very poor performance status at this time, and the risks and benefits of delaying chemotherapy due to this.",
+                    "last_modified": "2020-03-29 14:43:25.541346+00:00",
+                    "annotations": [
+                        {
+                            "id": 45672,
+                            "user": "wish",
+                            "cui": "C1277187",
+                            "value": "Left ventricular systolic dysfunction",
+                            "start": 1735,
+                            "end": 1772,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:28.599815+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45673,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "Chronic obstructive pulmonary disease",
+                            "start": 3973,
+                            "end": 4010,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:56.258036+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45674,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 2530,
+                            "end": 2553,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:39.941833+00:00",
+                            "manually_created": false,
+                            "acc": 0.6704740826100033,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45675,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 814,
+                            "end": 833,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:27.227336+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45676,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 4027,
+                            "end": 4046,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:59.503170+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45677,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusions",
+                            "start": 544,
+                            "end": 561,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:25.329478+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45678,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusions",
+                            "start": 1918,
+                            "end": 1935,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:32.987492+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45679,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 307,
+                            "end": 323,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:22.392246+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45680,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 395,
+                            "end": 411,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:23.567032+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45681,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 578,
+                            "end": 594,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:26.519053+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45682,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 4062,
+                            "end": 4078,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:00.564067+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45683,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 3018,
+                            "end": 3033,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:43.254487+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45684,
+                            "user": "wish",
+                            "cui": "C0008679",
+                            "value": "chronic disease",
+                            "start": 4131,
+                            "end": 4146,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:06.988150+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45685,
+                            "user": "wish",
+                            "cui": "C0085762",
+                            "value": "alcohol abuse",
+                            "start": 2397,
+                            "end": 2410,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:34.180610+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45686,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 2435,
+                            "end": 2445,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:37.214252+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45687,
+                            "user": "wish",
+                            "cui": "C0032285",
+                            "value": "pneumonia",
+                            "start": 1842,
+                            "end": 1851,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:31.742070+00:00",
+                            "manually_created": false,
+                            "acc": 0.5295302438470427,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45688,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "Anemia",
+                            "start": 4121,
+                            "end": 4127,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:05.196366+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45689,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 3352,
+                            "end": 3355,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:53.905564+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3219,
+                    "name": "879",
+                    "text": "CHIEF COMPLAINT: , \"Bloody bump on penis.\",HISTORY OF PRESENT ILLNESS: , This is a 29-year-old African-American male who presents to the Emergency Department today with complaint of a bleeding bump on his penis.  The patient states that he has had a large bump on the end of his penis for approximately a year and a half.  He states that it has never bled before.  It has never caused him any pain or has never been itchy.  The patient states that he is sexually active, but has been monogamous with the same person for the past 13 years.  He states that he believes that his sexual partner is monogamous as well and reciprocates in this practice.  The patient does state that last night he was \"trying to get some,\" meaning that he was engaging in sexual intercourse, at which time this bump bent backwards and ripped a portion of the skin on the tip of his penis.  The patient said that there is a large amount of blood from this injury.  This happened last night, but he was embarrassed to come to the Emergency Department yesterday when it was bleeding.  The patient has been able to get the bleeding to stop, but the large bump is still located on the end of his penis, and he is concerned that it will rip off, and does want it removed.  The patient denies any drainage or discharge from his penis.  He denies fevers or chills recently.  He also denies nausea or vomiting.  The patient has not had any discharge from his penis.  He has not had any other skin lesions on his penis that are new to him.  He states that he has had numerous bumps along the head of his penis and on the shaft of his penis for many years.  The patient has never had these checked out.  He denies fevers, chills, or night sweats.  He denies unintentional weight gain or loss.  He denies any other bumps, rashes, or lesions throughout the skin on his body.,PAST MEDICAL HISTORY:  ,No significant medical problems.,PAST SURGICAL HISTORY: , Surgery for excision of a bullet after being shot in the back.,SOCIAL HABITS: , The patient denies illicit drug usage.  He occasionally smokes tobacco and drinks alcohol.,MEDICATIONS: , None.,ALLERGIES: , No known medical allergies.,PHYSICAL EXAMINATION:  ,GENERAL:  This is an African-American male who appears his stated age of 29 years.  He is well nourished, well developed, in no acute distress.  The patient is pleasant.  He is sitting on a Emergency Department gurney.,VITAL SIGNS:  Temperature 98.4 degrees Fahrenheit, blood pressure of 139/78, pulse of 83, respiratory rate of 18, and pulse oximetry of 98% on room air.,HEART:  Regular rate and rhythm.  Clear S1, S2.  No murmur, rub, or gallop is appreciated.,LUNGS:  Clear to auscultation bilaterally.  No wheezes, rales, or rhonchi.,ABDOMEN:  Soft, nontender, nondistended, and positive bowel sounds throughout.,GENITOURINARY:  The patient's external genitalia is markedly abnormal.  There is a large pedunculated mass dangling from the glans of the penis at approximately the urethral meatus.  This pedunculated mass is approximately 1.5 x 2 cm in size and pedunculated by a stalk that is approximately 2 mm in diameter.  The patient appears to have condylomatous changes along the glans of the penis and on the shaft of the penis as well.  There are no open lesions at this point.  There is a small tear of the skin where the mass attaches to the glans near the urethral meatus.  Bleeding is currently stanch, and there is no sign of secondary infection at this time.  Bilateral testicles are descended and normal without pain or mass bilaterally.  There is no inguinal adenopathy.,EXTREMITIES:  No edema.,SKIN:  Warm, dry, and intact.  No rash or lesion.,DIAGNOSTIC STUDIES:  ,Non-emergency department courses.  It is thought that this patient should proceed directly with a referral to Urology for excision and biopsy of this mass.,ASSESSMENT AND PLAN: , Penile mass.  The patient does have a large pedunculated penile mass.  He will be referred to the urologist who is on-call today.  The patient will need this mass excised and biopsied.  The patient verbalized understanding the plan of followup and is discharged in satisfactory condition from the ER.,",
+                    "last_modified": "2020-03-29 14:43:25.546568+00:00",
+                    "annotations": [
+                        {
+                            "id": 45708,
+                            "user": "wish",
+                            "cui": "C0442886",
+                            "value": "secondary infection",
+                            "start": 3419,
+                            "end": 3438,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:39.337200+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45709,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 1460,
+                            "end": 1472,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:23.095842+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45710,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 1798,
+                            "end": 1805,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:29.683323+00:00",
+                            "manually_created": false,
+                            "acc": 0.5152935955197913,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45711,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 3243,
+                            "end": 3250,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:36.386503+00:00",
+                            "manually_created": false,
+                            "acc": 0.5041846704136316,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45712,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesion",
+                            "start": 3633,
+                            "end": 3639,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:46.446153+00:00",
+                            "manually_created": false,
+                            "acc": 0.4671035161056112,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3220,
+                    "name": "1881",
+                    "text": "CHIEF COMPLAINT:,  Joints are hurting all over and checkup.,HISTORY OF PRESENT ILLNESS:,  A 77-year-old white female who is having more problems with joint pain.  It seems to be all over decreasing her mobility, hands and wrists.  No real swelling but maybe just a little more uncomfortable than they have been.  The Daypro generic does not seem to be helping at all.  No fever or chills.  No erythema.,She actually is doing better.  Her diarrhea now has settled down and she is having less urinary incontinence, less pedal edema.  Blood sugars seem to be little better as well.,The patient also has gotten back on her Zoloft because she thinks she may be depressed, sleeping all the time, just not herself and really is disturbed that she cannot be more mobile in things.  She has had no polyuria, polydipsia, or other problems.  No recent blood pressure checks.,PAST MEDICAL HISTORY:,  Little over a year ago, the patient was found to have lumbar discitis and was treated with antibiotics and ended up having debridement and instrumentation with Dr. XYZ and is doing really quite well.  She had a pulmonary embolus with that hospitalization.,PAST SURGICAL HISTORY:,  She has also had a hysterectomy, salpingoophorectomy, appendectomy, tonsillectomy, two carpal tunnel releases.  She also has had a parathyroidectomy but still has had some borderline elevated calcium.  Also, hypertension, hyperlipidemia, as well as diabetes.  She also has osteoporosis.,SOCIAL HISTORY:,  The patient still smokes about a third of a pack a day, also drinks only occasional alcoholic drinks.  The patient is married.  She has three grown sons, all of which are very successful in professional positions.  One son is a gastroenterologist in San Diego, California.,MEDICATIONS:,  Nifedipine-XR 90 mg daily, furosemide 20 mg half tablet b.i.d., lisinopril 20 mg daily, gemfibrozil 600 mg b.i.d., Synthroid 0.1 mg daily, Miacalcin one spray in alternate nostrils daily, Ogen 0.625 mg daily, Daypro 600 mg t.i.d., also Lortab 7.5 two or three a day, also Flexeril occasionally, also other vitamin.,ALLERGIES: , She had some adverse reactions to penicillin, sulfa, perhaps contrast medium, and some mycins.,FAMILY HISTORY:,  As far as heart disease there is none in the family.  As far as cancer two cousins had breast cancer.  As far as diabetes father and grandfather had type II diabetes.  Son has type I diabetes and is struggling with that at the moment.,REVIEW OF SYSTEMS:,General:  No fever, chills, or night sweats.  Weight stable.,HEENT:  No sudden blindness, diplopia, loss of vision, i.e., in one eye or other visual changes.  No hearing changes or ear problems.  No swallowing problems or mouth lesions.,Endocrine:  Hypothyroidism but no polyuria or polydipsia.  She watches her blood sugars.  They have been doing quite well.,Respiratory:  No shortness of breath, cough, sputum production, hemoptysis or breathing problems.,Cardiovascular:  No chest pain or chest discomfort.  No paroxysmal nocturnal dyspnea, orthopnea, palpitations, or heart attacks.,GI:  As mentioned, has had diarrhea though thought to be possibly due to Clostridium difficile colitis that now has gotten better.  She has had some irritable bowel syndrome and bowel abnormalities for years.,GU:  No urinary problems, dysuria, polyuria or polydipsia, kidney stones, or recent infections.  No vaginal bleeding or discharge.,Musculoskeletal:  As above.,Hematological:  She has had some anemia in the past.,Neurological:  No blackouts, convulsions, seizures, paralysis, strokes, or headaches.,PHYSICAL EXAMINATION:,Vital Signs:  Weight is 164 pounds.  Blood pressure:  140/64.  Pulse:  72.  Blood pressure repeated by me with the patient sitting taken on the right arm is 148/60, left arm 136/58; these are while sitting on the exam table.,General:  A well-developed pleasant female who is comfortable in no acute distress otherwise but she does move slowly.,HEENT:  Skull is normocephalic.  TMs intact and shiny with good auditory acuity to finger rub.  Pupils equal, round, reactive to light and accommodation with extraocular movements intact.  Fundi benign.  Sclerae and conjunctivae were normal.,Neck:  No thyromegaly or cervical lymphadenopathy.  Carotids are 2+ and equal bilaterally and no bruits present.,Lungs:  Clear to auscultation and percussion with good respiratory movement.  No bronchial breath sounds, egophony, or rales are present.,Heart:  Regular rhythm and rate with no murmurs, gallops, rubs, or enlargement.  PMI normal position.  All pulses are 2+ and equal bilaterally.,Abdomen:  Obese, soft with no hepatosplenomegaly or masses.,Breasts:  No predominant masses, discharge, or asymmetry.,Pelvic Exam:  Normal external genitalia, vagina and cervix.  Pap smear done.  Bimanual exam shows no uterine enlargement and is anteroflexed.  No adnexal masses or tenderness.  Rectal exam is normal with soft brown stool Hemoccult negative.,Extremities:  The patient does appear to have some doughiness of all of the MCP joints of the hands and the wrists as well.  No real erythema.  There is no real swelling of the knees.  No new pedal edema.,Lymph nodes:  No cervical, axillary, or inguinal adenopathy.,Neurological:  Cranial nerves II-XII are grossly intact.  Deep tendon reflexes are 2+ and equal bilaterally.  Cerebellar and motor function intact in all extremities.  Good vibratory and positional sense in all extremities and dermatomes.  Plantar reflexes are downgoing bilaterally.,LABORATORY:  ,CBC shows a hemoglobin of 10.5, hematocrit 35.4, otherwise normal.  Urinalysis is within normal limits.  Chem profile showed a BUN of 54, creatinine 1.4, glucose 116, calcium was 10.8, cholesterol 198, triglycerides 171, HDL 43, LDL 121, TSH is normal, hemoglobin A1C is 5.3.,ASSESSMENT:,1.  Arthralgias that are suspicious for inflammatory arthritis, but certainly seems to be more active and bothersome.  I think we need to look at this more closely.,2.  Diarrhea that seems to have resolved.  Whether this is related to the above is unclear.,3.  Diabetes mellitus type II, really fairly well controlled.",
+                    "last_modified": "2020-03-29 14:43:25.547151+00:00",
+                    "annotations": [
+                        {
+                            "id": 45713,
+                            "user": "wish",
+                            "cui": "C0022104",
+                            "value": "irritable bowel syndrome",
+                            "start": 3193,
+                            "end": 3217,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:59.636993+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45714,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "inflammatory arthritis",
+                            "start": 5805,
+                            "end": 5827,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:19.383165+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45715,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "pulmonary embolus",
+                            "start": 1099,
+                            "end": 1116,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:04.846833+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45716,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "Diabetes mellitus",
+                            "start": 6026,
+                            "end": 6043,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:24.539470+00:00",
+                            "manually_created": false,
+                            "acc": 0.742267263706876,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45717,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type I diabetes",
+                            "start": 2379,
+                            "end": 2394,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:24.272403+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45718,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4193,
+                            "end": 4208,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:07.556477+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45719,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1391,
+                            "end": 1405,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:07.392262+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45720,
+                            "user": "wish",
+                            "cui": "C1398668",
+                            "value": "loss of vision",
+                            "start": 2557,
+                            "end": 2571,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:28.385131+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45721,
+                            "user": "wish",
+                            "cui": "C0020676",
+                            "value": "Hypothyroidism",
+                            "start": 2706,
+                            "end": 2720,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:36.928759+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45722,
+                            "user": "wish",
+                            "cui": "C1301700",
+                            "value": "Cardiovascular",
+                            "start": 2915,
+                            "end": 2929,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:39.234439+00:00",
+                            "manually_created": false,
+                            "acc": 0.25777777799090396,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45723,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 2213,
+                            "end": 2226,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:11.149312+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45724,
+                            "user": "wish",
+                            "cui": "C0021167",
+                            "value": "incontinence",
+                            "start": 499,
+                            "end": 511,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:56.081103+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45725,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1377,
+                            "end": 1389,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:06.209200+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45726,
+                            "user": "wish",
+                            "cui": "C0029456",
+                            "value": "osteoporosis",
+                            "start": 1442,
+                            "end": 1454,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:10.079774+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45727,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depressed",
+                            "start": 656,
+                            "end": 665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:01.952187+00:00",
+                            "manually_created": false,
+                            "acc": 0.49230332138606425,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45728,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 393,
+                            "end": 401,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:53.935885+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45729,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 5046,
+                            "end": 5054,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:16.822730+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45730,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 1418,
+                            "end": 1426,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:08.423141+00:00",
+                            "manually_created": false,
+                            "acc": 0.5279517237798568,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45731,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 2316,
+                            "end": 2324,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:12.666208+00:00",
+                            "manually_created": false,
+                            "acc": 0.46348884049664657,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45732,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 2360,
+                            "end": 2368,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:22.001765+00:00",
+                            "manually_created": false,
+                            "acc": 0.7269673077658119,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45733,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "strokes",
+                            "start": 3528,
+                            "end": 3535,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:04.792289+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45734,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2685,
+                            "end": 2692,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:33.352171+00:00",
+                            "manually_created": false,
+                            "acc": 0.25067711295738243,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45735,
+                            "user": "wish",
+                            "cui": "C0009324",
+                            "value": "colitis",
+                            "start": 3139,
+                            "end": 3146,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:48.185934+00:00",
+                            "manually_created": false,
+                            "acc": 0.5057932935104288,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45736,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 3445,
+                            "end": 3451,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:03.017818+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45737,
+                            "user": "wish",
+                            "cui": "C3839342",
+                            "value": "PMI",
+                            "start": 4491,
+                            "end": 4494,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:19:15.588806+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3221,
+                    "name": "899",
+                    "text": "CHIEF COMPLAINT:  ,Followup diabetes mellitus, type 1., ,SUBJECTIVE:,  Patient is a 34-year-old male with significant diabetic neuropathy.  He has been off on insurance for over a year.  Has been using NPH and Regular insulin to maintain his blood sugars.  States that he is deathly afraid of having a low blood sugar due to motor vehicle accident he was in several years ago.  Reports that his blood sugar dropped too low which caused the accident.  Since this point in time, he has been unwilling to let his blood sugars fall within a normal range, for fear of hypoglycemia. Also reports that he regulates his blood sugars with how he feels, rarely checking his blood sugar with a glucometer., ,Reports that he has been worked up extensively at hospital and was seeing an Endocrinologist at one time.  Reports that he had some indications of kidney damage when first diagnosed.  His urine microalbumin today is 100.  His last hemoglobin A1C drawn at the end of December is 11.9.  Reports that at one point, he was on Lantus which worked well and he did not worry about his blood sugars dropping too low. While using Lantus, he was able to get his hemoglobin A1C down to 7.  His last CMP shows an elevated alkaline phosphatase level of 168. He denies alcohol or drug use and is a non smoker.  Reports he quit drinking 3 years ago. I have discussed with patient that it would be appropriate to do an SGGT and hepatic panel today.  Patient also has a history of gastroparesis and impotence.  Patient requests Nexium and Viagra, neither of which are covered under the Health Plan.  , ,Patient reports that he was in a scooter accident one week ago, fell off his scooter, hit his head.  Was not wearing a helmet.  Reports that he did not go to the emergency room and had a headache for several days after this incident.  Reports that an ambulance arrived at the scene and he was told he had a scalp laceration and to go into the emergency room.  Patient did not comply.  Reports that the headache has resolved.  Denies any dizziness, nausea, vomiting, or other neurological abnormalities., ,PHYSICAL EXAMINATION: , WD, WN.  Slender, 34-year-old white male.  VITAL SIGNS:  Blood sugar 145, blood pressure 120/88, heart rate 104, respirations 16.  Microalbumin 100. SKIN:  There appears to be 2 skin lacerations on the left parietal region of the scalp, each approximately 1 inch long.  No signs of infection.  Wound is closed with new granulation tissue.  Appears to be healing well.  HEENT:  Normocephalic.  PERRLA.  EOMI.  TMs pearly gray with landmarks present.  Nares patent.  Throat with no redness or swelling.  Nontender sinuses.  NECK:  Supple.  Full ROM.  No LAD. CARDIAC:",
+                    "last_modified": "2020-03-29 14:43:25.547742+00:00",
+                    "annotations": [
+                        {
+                            "id": 45738,
+                            "user": "wish",
+                            "cui": "C0011882",
+                            "value": "diabetic neuropathy",
+                            "start": 118,
+                            "end": 137,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:45.929726+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45739,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 28,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:35.850631+00:00",
+                            "manually_created": false,
+                            "acc": 0.5820445154937393,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45740,
+                            "user": "wish",
+                            "cui": "C0020615",
+                            "value": "hypoglycemia",
+                            "start": 563,
+                            "end": 575,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:47.756229+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45741,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug use",
+                            "start": 1263,
+                            "end": 1271,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:00.358583+00:00",
+                            "manually_created": false,
+                            "acc": 0.5321961264070647,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45742,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "redness",
+                            "start": 2592,
+                            "end": 2599,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:02.834249+00:00",
+                            "manually_created": false,
+                            "acc": 0.47738844639500944,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45743,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type 1",
+                            "start": 47,
+                            "end": 53,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:38.161038+00:00",
+                            "manually_created": false,
+                            "acc": 0.37124041351925124,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3240,
+                    "name": "1557",
+                    "text": "PRESENT ILLNESS: , The patient is a very pleasant 69-year-old Caucasian male whom we are asked to see primarily because of a family history of colon cancer, but the patient also has rectal bleeding on a weekly basis and also heartburn once every 1 or 2 weeks.  The patient states that he had his first colonoscopy 6 years ago and it was negative.  His mother was diagnosed with colon cancer probably in her 50s, but she died of cancer of the esophagus at age 86.  The patient does have hemorrhoidal bleed about once a week.  Otherwise, he denies any change in bowel habits, abdominal pain, or weight loss.  He gets heartburn mainly with certain food such as raw onions and he has had it for years.  It will typically occur every couple of weeks.  He has had no dysphagia.  He has never had an upper endoscopy.,MEDICAL HISTORY: , Remarkable for hypertension, adult-onset diabetes mellitus, hyperlipidemia, and restless legs syndrome.,SURGICAL HISTORY: , Appendectomy as a child and cholecystectomy in 2003.,MEDICATIONS:  ,His medications are lisinopril 40 mg daily, hydrochlorothiazide 25 mg daily, metformin 1000 mg twice a day, Januvia 100 mg daily, clonazepam 10 mg at bedtime for restless legs syndrome, Crestor 10 mg nightly, and Flomax 0.4 mg daily.,ALLERGIES: , No known drug allergies.,SOCIAL HISTORY: , The patient is retired.  He is married.  He had 4 children.  He quite smoking 25 years ago after a 35-year history of smoking.  He does not drink alcohol.,FAMILY HISTORY: , Mother had colon cancer in her 50s, esophageal cancer in her 80s.  Her mother smoked and drank.  Father got a mesothelioma at age 65.  There is a brother of 65 with hypertension.,REVIEW OF SYSTEMS: , He has had prostatitis with benign prostatic hypertrophy.  He has some increased urinary frequency from a history of prostatitis.  He has the heartburn, which is diet dependent and the frequent rectal bleeding.  He also has restless legs syndrome at night.  No cardio or pulmonary complaints.  No weight loss.,PHYSICAL EXAMINATION: , Reveals a well-developed, well-nourished man in no acute distress.  BP 112/70.  Pulse 80 and regular.  Respirations non-labored.  Height 5 feet 7-1/2 inches.  Weight 209 pounds.  HEENT exam:  Sclerae are anicteric.  Pupils equal, conjunctivae clear.  No gross oropharyngeal lesions.  Neck is supple without lymphadenopathy, thyromegaly, or JVD.  Lungs are clear to percussion and auscultation.  Heart sounds are regular without murmur, gallop, or rub.  The abdomen is soft and nontender.  There are no masses.  There is no hepatosplenomegaly.  The bowel sounds are normal.  Rectal examination:  Deferred.  Extremities have no clubbing, cyanosis or edema.  Skin is warm and dry.  The patient is alert and oriented with a pleasant affect and no gross motor deficits.,IMPRESSION:,1.  Family history of colon cancer.,2.  Rectal bleeding.,3.  Heartburn and a family history of esophageal cancer.,PLAN:,  I agree with the indications for repeat colonoscopy, which should be done at least every 5 years.  Also, discussed IRC to treat bleeding and internal hemorrhoids if he is deemed to be an appropriate candidate at the time of his colonoscopy and the patient was agreeable.  I am also a little concerned about his family history of esophageal cancer and his personal history of heartburn and suggested that we check him once for Barrett's esophagus.  If he does not have it now then it should not be a significant risk in the future.  The indications and benefits of EGD, colonoscopy, and IRC were discussed.  The risks including sedation, bleeding, infection, and perforation were discussed.  The importance of a good bowel prep so as to minimize missing any lesions was discussed.  His questions were answered and informed consent obtained.  It was a pleasure to care for this nice patient.",
+                    "last_modified": "2020-03-29 14:43:25.558593+00:00",
+                    "annotations": [
+                        {
+                            "id": 45774,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 870,
+                            "end": 887,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:24.432973+00:00",
+                            "manually_created": false,
+                            "acc": 0.5869456264251296,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45775,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2325,
+                            "end": 2340,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:43.435652+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45776,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 889,
+                            "end": 903,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:25.282421+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45777,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 844,
+                            "end": 856,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:23.343756+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45778,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1649,
+                            "end": 1661,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:26.787636+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45779,
+                            "user": "wish",
+                            "cui": "C0033581",
+                            "value": "prostatitis",
+                            "start": 1695,
+                            "end": 1706,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:31.099140+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45780,
+                            "user": "wish",
+                            "cui": "C0033581",
+                            "value": "prostatitis",
+                            "start": 1801,
+                            "end": 1812,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:33.994484+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45781,
+                            "user": "wish",
+                            "cui": "C0011168",
+                            "value": "dysphagia",
+                            "start": 761,
+                            "end": 770,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:20.626741+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45782,
+                            "user": "wish",
+                            "cui": "C0039082",
+                            "value": "syndrome",
+                            "start": 923,
+                            "end": 931,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:25.981620+00:00",
+                            "manually_created": false,
+                            "acc": 0.3717077955474978,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                        {
+                            "id": 45783,
+                            "user": "wish",
+                            "cui": "C0039082",
+                            "value": "syndrome",
+                            "start": 1922,
+                            "end": 1930,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:37.130482+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45784,
+                            "user": "wish",
+                            "cui": "C0009241",
+                            "value": "deficits",
+                            "start": 2773,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:46.237451+00:00",
+                            "manually_created": false,
+                            "acc": 0.35143796050562426,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45785,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2292,
+                            "end": 2299,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                            "last_modified": "2020-04-01 22:20:40.180699+00:00",
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+                            ]
+                        },
+                        {
+                            "id": 45786,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
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+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3241,
+                    "name": "496",
+                    "text": "REASON FOR CONSULTATION: , Lethargy.,HISTORY OF PRESENT ILLNESS:,  The patient is a 62-year-old white female with a past medical history of left frontal glioblastoma with subsequent craniotomy infection for PE, DVT, hyperlipidemia, and hypertension who is according to the patient's daughter expressing signs of depression.  Symptoms began on February 5, 2007, upon receiving the unexpected news, the patient would need three to four more days of chemotherapy and radiation therapy for her glioblastoma, described as a sudden onset of symptoms including hypersomnia (18 to 20 hours per day), drastic decrease in energy level, anhedonia, feelings of hopelessness and helplessness, psychomotor retardation, and past history of suicidal ideations.  The patient's appetite is unknown since she had been fed by NG tube after being diagnosed with neuromuscular oropharyngeal dysphagia.  Prior to receiving the news for needing more cancer therapy, the patient was described as being \"fine,\" participating in physical therapy and talking regularly as she was looking forward to leaving the hospital.  Now, the patient has become angry, socially withdrawn, not wanting to see anyone including her own grandchildren, and not participating in physical therapy.  Has been on a daily dose of Lexapro since January 08, 2007, was increased from 10 mg to 20 mg on January 24, 2007, which is her current dose.  Has been on Provigil 100 mg b.i.d. since February 06, 2007, but has not noticed an impact.  Had been on Zyprexa 2.5 mg p.o. q.p.m. from December 20, 2006, to February 01, 2007, but has been discontinued.  Currently, the patient has not displayed any manic symptoms, auditory or visual hallucinations, or symptoms of anxiety.  Also, denies any homicidal ideations.,PAST PSYCHIATRIC HISTORY:,  Was prescribed Prozac for depression, felt during husband's successful battle with prostate cancer.  Never been diagnosed with psychiatric illness.  Displayed some psychotic symptoms, status post craniotomy while in ICU, treated with Zyprexa and Xanax during hospitalization in 2006.,PAST MEDICAL HISTORY:,  Craniotomy November 2006 with subsequent CSF infection of enterobacter, status post glioblastoma multiforme, PE, DVT, hypertension, SIADH, and IVC filter.  No history of thyroid problems, seizures, strokes, or traumatic head injuries.,HOME MEDICATIONS:,  Norvasc 5 mg daily, TriCor 145 mg daily, aspirin one tablet daily, Tylenol, and glucosamine chondroitin sulfate.,CURRENT MEDICATIONS:,  Norvasc 10 mg p.o. daily, Decadron injection 6 mg IV q.12h., Colace 100 mg liquid b.i.d., Cardura 2 mg p.o. daily, Lexapro 20 mg p.o. daily, Lopressor 50 mg p.o. q.12h., Flagyl 500 mg via PEG tube q.8h., modafinil 100 mg p.o. b.i.d., Lovenox 60 mg subcu q.12h., insulin sliding scale, Tylenol suppositories 650 mg rectal q.4h. p.r.n., and Ambien 5 mg p.o. q.h.s. p.r.n.,ALLERGIES:,  PHENYTOIN (STEVENS-JOHNSON SYNDROME), CODEINE, NOVOCAIN, UNKNOWN ALLERGY.,FAMILY MEDICAL HISTORY:,  Father had lung cancer, was smoker for 40 years.  Father's aunt have heart disease.,SOCIAL AND DEVELOPMENTAL HISTORY:,  Currently lives with husband of 40 years in League City, has a Masters in Education, is a retired reading specialist which she did it for 33 years.  Has one younger brother, one daughter.  Denies use of tobacco, alcohol and illicit drugs.  The child as per daughter was picked on and has a strained relationship with her mother, but they still are communicating.,MENTAL STATUS EXAMINATION:,  The patient is a 62-year-old white female, lying in hospital bed, with gown on, eyes closed, short shaven hair, and golf ball-sized indentation in the anterior fontanelle from craniotomy.  Psychomotor retardation, poor eye contact, speech low volume, slow rate, poor flexion, essentially unresponsive, and somnolent during interview.  Poor concentration, mood unknown (the patient did not respond to questions), affect flat, thought process logical and goal directed, thought content unable to assess from the patient but the patient's daughter denied delusions and homicidal ideations.  Positive for passive suicidal ideations and perceptions.  No auditory or visual hallucinations.  Sensorium stuporous, did not answer orientation questions.  Memory information, intelligence, judgment, and insight unknown.,Mini-Mental status examination unable to be performed.,ASSESSMENT:,  A 62-year-old white female status post craniotomy for glioblastoma multiforme with subsequent CNS infection and currently has been displaying symptoms of depression for the past seven days and hence was told she needed more chemotherapy and radiation therapy.,Axis I:  Depression, NOS.  Rule out depression secondary to general medical condition.,Axis II:  Deferred.,Axis III:  Craniotomy with subsequent CSF infection, PE, DVT, and hypertension.,Axis IV:  Hospitalization.,Axis V:  11.,PLAN:,  Continue Lexapro 20 mg p.o. daily.  Discontinue Provigil, begin Ritalin 5 mg p.o. q.a.m. and q. noon.,Thank you for the consultation.",
+                    "last_modified": "2020-03-29 14:43:25.559149+00:00",
+                    "annotations": [
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+                            "value": "psychotic",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45808,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "strokes",
+                            "start": 2293,
+                            "end": 2300,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:07.591251+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45809,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "general",
+                            "start": 4680,
+                            "end": 4687,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:44.948903+00:00",
+                            "manually_created": false,
+                            "acc": 0.32203519521482893,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45810,
+                            "user": "wish",
+                            "cui": "C1407863",
+                            "value": "battle",
+                            "start": 1858,
+                            "end": 1864,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:21:53.204694+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45811,
+                            "user": "wish",
+                            "cui": "C4061796",
+                            "value": "MENTAL",
+                            "start": 3452,
+                            "end": 3458,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:24.488864+00:00",
+                            "manually_created": false,
+                            "acc": 0.46819696691659085,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45812,
+                            "user": "wish",
+                            "cui": "C4061796",
+                            "value": "Mental",
+                            "start": 4296,
+                            "end": 4302,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:33.994708+00:00",
+                            "manually_created": false,
+                            "acc": 0.29115748544020903,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45813,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 211,
+                            "end": 214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:21:12.809015+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45814,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 2208,
+                            "end": 2211,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:03.332114+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45815,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 4784,
+                            "end": 4787,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:49.813977+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45816,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 207,
+                            "end": 209,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:21:08.607010+00:00",
+                            "manually_created": false,
+                            "acc": 0.36654640918345577,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45817,
+                            "user": "wish",
+                            "cui": "C0018023",
+                            "value": "NG",
+                            "start": 806,
+                            "end": 808,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:21:33.593046+00:00",
+                            "manually_created": false,
+                            "acc": 0.2794287122979977,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45818,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 2204,
+                            "end": 2206,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:00.544222+00:00",
+                            "manually_created": false,
+                            "acc": 0.4018783339547625,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45819,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 4780,
+                            "end": 4782,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:49.078857+00:00",
+                            "manually_created": false,
+                            "acc": 0.30016196175472076,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3242,
+                    "name": "1070",
+                    "text": "Chief Complaint:, Abdominal pain, nausea and vomiting.,History of Present Illness:, A 50-year-old Asian female comes to The Methodist Hospital on January 2, 2001, complaining of a 3-day history of abdominal pain. The pain is described as crampy in the central part of her abdomen, and is associated with nausea and vomiting during the previous 24 hours. The patient denied passing any stool or gas per rectum for the previous 24 hours. She had been admitted recently to the hospital from December 19 to December 23, 2000, with a three-week history of fevers to 101.8, diaphoresis, anorexia, malaise and skin \"lumps\". She described a total of three \"lumps\". The first one started as a pin-sized lesion that grew up and then disappeared, the other two didn't resolve. They were described as \"erythematous nodular lesions on the extensor surface of the left arm.\" A punch biopsy was obtained from these skin lesions, showing deep dermis and subcutaneous adipose tissue that contained \"multiple granulomas composed of histiocytes and multinucleated giant cells without caseating necrosis\". However, one granuloma in the deep dermis, showed a hint of central necrosis. Special stains for acid - fast bacilli and fungi were reported as negative. No atypia or malignancy was noted. A CT scan of the chest was obtained on December 19, 2000 and showed numerous masses with spiculated borders bilaterally, predominately in the upper lobes and superior segments of the lower lobes. No cavitary lesions, mediastinal masses or definite hilar adenopathy were reported. The patient underwent bronchoscopy and transbronchial biopsy which showed fragments of bronchial mucosa and wall with underlying lung parenchyma. Minimal to mild interstitial lymphocytes with a few microfoci of neutrophils were seen. They were also able to appreciate intra-alveolar fibrinous exudates. One of the blood cultures drawn on December 19, 2000 grew Streptococcus mitis.,The patient was discharged on ethambutol 1200 mg po qd, clarithromycin 500 mg po bid, ampicillin 500 mg po q 6h and fluconazole 200 mg po qd.,Past Medical History:,1. Post-streptococcal glomerulonephritis at age 10.,2. End stage renal disease diagnosed in 1994, on peritoneal dialysis until 1996.,3. Cadaveric transplant in October 1996,4. Steroid induced diabetes mellitus,5. Hypertension,Past Surgical History:,1. Total abdominal hysterectomy in January 1996,2. Cesarean section X2 in 1996 and 1997,3. Appendectomy in 1971,4. Insertion of peritoneal dialysis catheter in 1994,5. Cadaveric transplant in October 1996,Social History:,The patient denies a history of smoking, drinking or intravenous drug use. She came to the United States in 1973. She works as a nurse in a newborn nursery. Her hobby is gardening. She traveled to Las Vegas on May 2000 and stayed for 6 months. She denied ill contacts or pets.,Allergies:, Ciprofloxacin and Enteric coated aspirin,Medications:, prednisone 20 mg po qd, enalapril 2.5 mg po qd, clonidine patch TTS 3 1/week, Prograf 5 mg po bid, ranitidine 150 mg po bid, furosemide 40 mg po bid, atorvastatin 10 mg po qd, multivitamins 1 tab po qd, estrogen patch, fluconazole 200 mg po qd, metformin 500 mg po bid, glyburide 10 mg po qd, clarithromycin 500 mg po bid, ethambutol 1200 mg po qd, ampicillin 500 mg po q 6h.,Family History:, She described a family history of hypertension. Her mother died after a myocardial infarction at age 59. Her father was diagnosed with congestive heart failure and had a pacemaker placed.,Review of systems:, Non-contributory. The patient denied fever, chills, ulcers, liver disease or history of gallstones.,Vaccines: The patient was vaccinated with BCG before starting elementary school in the Philippines.,Physical Examination:, At the time of the examination the patient was alert and oriented times three and in no acute distress. She was well nourished.,BP 106/60 lying down; HR 86; RR 12; T 96.1\u00b0 F; Hgt. =5' 2\"; Wgt. =121 lbs.,SKIN: There was no rash or skin lesions.,HEENT: She had no oral lesions and moist mucous membranes. No icterus was noted.,NECK: Her neck was supple without lymphadenopathy or thyromegaly.,LUNGS: Crackles at the right lower base with normal respiratory excursion and no dullness to percussion.,HEART: IV/VI crescendo - decrescendo systolic murmur was heard at the second intercostal space with radiation to the neck.,ABDOMEN: The abdomen was distended. Bowel sounds were normal. No hepatosplenomegaly, tenderness or rebound tenderness could be detected during the examination.,EXTREMITIES: No cyanosis, clubbing or edema was noted.,RECTAL: Normal rectal exam. Guaiac negative.,NEUROLOGIC: Normal and non-focal.,Hospital Course:,  The patient was admitted and a nasogastric tube was placed. IV fluids were started. A KUB was obtained showing an abnormal bowel gas pattern. Multiple loops of distended bowel were noted in the mid abdomen. Air and feces were noted within the colon in the right side. An Abdominal CT scan was obtained. There was a small amount of perihepatic fluid noted. The liver and spleen were normal. The kidneys were atrophic. The gallbladder was moderately distended. There was marked dilatation of the small bowel proximally and distally. There was gas and contrast material in the colon. A diagnostic procedure was performed.",
+                    "last_modified": "2020-03-29 14:43:25.559717+00:00",
+                    "annotations": [
+                        {
+                            "id": 45820,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 3443,
+                            "end": 3467,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:40.242615+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45821,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "End stage renal disease",
+                            "start": 2156,
+                            "end": 2179,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:20.081601+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45822,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 3380,
+                            "end": 3401,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:37.864862+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45823,
+                            "user": "wish",
+                            "cui": "C0017658",
+                            "value": "glomerulonephritis",
+                            "start": 2123,
+                            "end": 2141,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:16.487983+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45824,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 2293,
+                            "end": 2310,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:21.652082+00:00",
+                            "manually_created": false,
+                            "acc": 0.44149476293652234,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45825,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4098,
+                            "end": 4113,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:55.206439+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45826,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver disease",
+                            "start": 3576,
+                            "end": 3589,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:48.176838+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45827,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 900,
+                            "end": 912,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:09.045612+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45828,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 2314,
+                            "end": 2326,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:24.467109+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45829,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 3342,
+                            "end": 3354,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:31.526228+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45830,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 3969,
+                            "end": 3981,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:50.133408+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45831,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythematous",
+                            "start": 790,
+                            "end": 802,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:02.779010+00:00",
+                            "manually_created": false,
+                            "acc": 0.47943951972754273,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45832,
+                            "user": "wish",
+                            "cui": "C0003123",
+                            "value": "anorexia",
+                            "start": 581,
+                            "end": 589,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:00.433787+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45833,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug use",
+                            "start": 2636,
+                            "end": 2644,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:27.598664+00:00",
+                            "manually_created": false,
+                            "acc": 0.5577006518635477,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45834,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 4006,
+                            "end": 4013,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:52.851012+00:00",
+                            "manually_created": false,
+                            "acc": 0.522310434958107,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45835,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 3568,
+                            "end": 3574,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:44.192785+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45836,
+                            "user": "wish",
+                            "cui": "C0004930",
+                            "value": "punch",
+                            "start": 863,
+                            "end": 868,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:07.897484+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45837,
+                            "user": "wish",
+                            "cui": "C0017547",
+                            "value": "giant",
+                            "start": 1045,
+                            "end": 1050,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:15.081906+00:00",
+                            "manually_created": false,
+                            "acc": 0.3583975177658868,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45838,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "HEART",
+                            "start": 4235,
+                            "end": 4240,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:59.866647+00:00",
+                            "manually_created": false,
+                            "acc": 0.2272820937478998,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3243,
+                    "name": "611",
+                    "text": "CHIEF COMPLAINT: , Penile discharge, infected-looking glans.,HISTORY OF PRESENT ILLNESS: , The patient is a 67-year-old African-American male, who was recently discharged from the hospital on July 21, 2008 after being admitted for altered mental status and before that after undergoing right above knee amputation for wet gangrene.  The patient was transferred to Nursing Home and presents today from the nursing home with complaints of bleeding from the right AKA stump and penile discharge.  As per the patient during his hospitalizations over here, he had indwelling Foley catheter for a few days and when he was discharged at the nursing home he was discharged without the catheter.  However, the patient was brought back to the ED today when he suffered fall yesterday and started bleeding from his stump.  While placing the catheter in the ED on retraction of foreskin purulent discharge was seen from the penis and the glans appeared infected, so urology consult was placed.,REVIEW OF SYSTEMS: , Negative except as in the HPI.,PAST MEDICAL HISTORY: , Significant for end-stage renal disease on dialysis, hypertension, peripheral vascular disease, coronary artery disease, congestive heart failure, diabetes, and hyperlipidemia.,PAST SURGICAL HISTORY:  ,Right AKA,MEDICATIONS:,  Novolin, Afrin, Nephro-Vite, Neurontin, lisinopril, furosemide, Tums, labetolol, Plavix, nitroglycerin, Aricept, omeprazole, oxycodone, Norvasc, Renagel, and morphine.,ALLERGIES: , PENICILLIN and ADHESIVE TAPE.,FAMILY HISTORY: , Significant for hypertension, hyperlipidemia, diabetes, chronic renal insufficiency, and myocardial infarction.,SOCIAL HISTORY: , The patient lives alone.  He is unemployed, disabled.  He has history of tobacco use in the past.  He denies alcohol or drug abuse.,PHYSICAL EXAMINATION:,GENERAL:  A well-appearing African-American male lying comfortably in bed, in acute distress.,NECK:  Supple.,LUNGS:  Clear to auscultation bilaterally.,CARDIOVASCULAR:  S1 and S2, normal.,ABDOMEN:  Soft, nondistended, and nontender.,GENITOURINARY:  Penis is not circumcised.  Currently, indwelling Foley catheter in place.  On retraction of the foreskin, pale-looking glans tip with areas of yellow-white tissue.  The proximal glans appeared pink.  The patient currently has indwelling Foley catheter and glans slightly tender to touch.  However, no purulent discharge was seen on compression of the glans.  Otherwise on palpation, no other deformity noticed.  Bilateral testes descended.  No palpable abnormality.  No evidence of infection in his perineal area.,EXTREMITIES:  Right AKA.,NEUROLOGIC:  Awake, alert, and oriented.  No sensory or motor deficit.,LABORATORY DATA: , I independently reviewed the lab work done on the patient.  The patient had a UA done in the ED which showed few bacteria, white blood cells 6 to 12, and a few epithelial cells which were negative.  His basic metabolic panel with creatinine of 7.2 and potassium of 5, otherwise normal.  CBC with a white blood cell count of 11.5, hemoglobin of 9.5, and INR of 1.13.,IMPRESSION: , A 67-year-old male with multiple comorbidities with penile discharge and pale-appearing glans.  It seems that the patient has had multiple catheterizations recently and has history of peripheral vascular disease.  I think it is due to chronic ischemic changes.,RECOMMENDATIONS: , Our recommendation would be:,1.  To remove the Foley catheter.,2.  Local hygiene.,3.  Local application of bacitracin ointment.,4.  Antibiotic for urinary tract infection.,5.  Follow up as needed.  Of note, it was explained to the patient that the appearance of this glans may improve or may get worsened but at this point, there is no indication to operate on him.  If increased purulent discharge, the patient was asked to call us sooner, otherwise follow up as scheduled.",
+                    "last_modified": "2020-03-29 14:43:25.560286+00:00",
+                    "annotations": [
+                        {
+                            "id": 45839,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 1125,
+                            "end": 1152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:20.421354+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45840,
+                            "user": "wish",
+                            "cui": "C0403447",
+                            "value": "chronic renal insufficiency",
+                            "start": 1570,
+                            "end": 1597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:26.636492+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45841,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 3240,
+                            "end": 3267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:38.444892+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45842,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 1179,
+                            "end": 1203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:21.977386+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45843,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "end-stage renal disease",
+                            "start": 1074,
+                            "end": 1097,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:18.476337+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45844,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3483,
+                            "end": 3506,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:49.609452+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45845,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1154,
+                            "end": 1177,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:21.269275+00:00",
+                            "manually_created": false,
+                            "acc": 0.5117776607435819,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45846,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 1603,
+                            "end": 1624,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:27.502380+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45847,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1219,
+                            "end": 1233,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:23.423293+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45848,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1544,
+                            "end": 1558,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:25.425785+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45849,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1111,
+                            "end": 1123,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:19.541185+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45850,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1530,
+                            "end": 1542,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:24.393425+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45851,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 1764,
+                            "end": 1774,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:28.220310+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45852,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infection",
+                            "start": 2529,
+                            "end": 2538,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:31.011807+00:00",
+                            "manually_created": false,
+                            "acc": 0.4940431088066718,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45853,
+                            "user": "wish",
+                            "cui": "C2363741",
+                            "value": "infected",
+                            "start": 37,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:12.338238+00:00",
+                            "manually_created": false,
+                            "acc": 0.30566485001790056,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45854,
+                            "user": "wish",
+                            "cui": "C0683278",
+                            "value": "suffered",
+                            "start": 750,
+                            "end": 758,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:24:17.362790+00:00",
+                            "manually_created": false,
+                            "acc": 0.3883542914371241,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45855,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1205,
+                            "end": 1213,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:22.700121+00:00",
+                            "manually_created": false,
+                            "acc": 0.5401535154235131,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45856,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1560,
+                            "end": 1568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:26.107056+00:00",
+                            "manually_created": false,
+                            "acc": 0.5895813513203143,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45857,
+                            "user": "wish",
+                            "cui": "C0008679",
+                            "value": "chronic",
+                            "start": 3291,
+                            "end": 3298,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:24:48.213415+00:00",
+                            "manually_created": false,
+                            "acc": 0.48231332453038595,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3259,
+                    "name": "688",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  The patient is a 63-year-old white male who was admitted to the hospital with CHF and lymphedema.  He also has a history of obesity, hypertension, sleep apnea, chronic low back pain, cataracts, and past history of CA of the lung.  This consultation was made for better control of his blood sugars.  On questioning, the patient says that he does not have diabetes.  He says that he has never been told about diabetes except during his last admission at Jefferson Hospital.  Apparently, he was started on glipizide at that time.  His blood sugars since then have been good and he says when he went back to Jefferson three weeks later, he was told that he does not have a sugar problem.  He is not sure.  He is not following any specific diet.  He says \"my doctor wants me to lose 30-40 pounds in weight\" and he would not mind going on a diet.  He has a long history of numbness of his toes.  He denies any visual problems.,PAST MEDICAL HISTORY: , As above that includes CA of the lung, COPD, bilateral cataracts.  He has had chronic back pain.  There is also a history of bilateral hip surgeries, penile implant and removal, umbilical hernia repair, and back pain with two surgeries with details of which are unknown.,SOCIAL HISTORY: , The patient has been a smoker since the age of 10.  So, he was smoking 2-3 packs per day.  Since being started on Chantix, he says he has cut it down to half a pack per day.  He does not abuse alcohol.,MEDICATIONS: ,1.  Glipizide 5 mg p.o. daily.,2.  Theophylline.,3.  Z-Pak.,4.  Chantix.,5.  Januvia 100 mg daily.,6.  K-Lor.,7.  OxyContin.,8.  Flomax.,9.  Lasix.,10.  Advair.,11.  Avapro.,12.  Albuterol sulfate.,13.  Vitamin B tablet.,14.  OxyContin and oxycodone for pain.,FAMILY HISTORY: , Positive for diabetes mellitus in the maternal grandmother.,REVIEW OF SYSTEMS: , As above.  He says he has had numbness of toes for a long time.  He denies any visual problems.  His legs have been swelling up from time to time for a long time.  He also has history of COPD and gets short of breath with minimal activity.  He is also not able to walk due to his weight.  He has had ulcers on his legs, which he gets discharge from.  He has chronic back pain and takes OxyContin.  He denies any constipation, diarrhea, abdominal pain, nausea or vomiting.  There is no chest pain.  He does get short of breath on walking.,PHYSICAL EXAMINATION:,The patient is a well-built, obese, white male in no acute distress.,Vital signs:  Pulse rate of 89 per minute and regular.  Blood pressure of 113/69, temperature is 98.4 degrees Fahrenheit, and respirations are 18.,HEENT:  Head is normocephalic and atraumatic.  Eyes, PERRLA.  EOMs intact.  Fundi were not examined.,Neck:  Supple.  JVP is low.  Trachea central.  Thyroid small in size.  No carotid bruits.,Heart:  Shows normal sinus rhythm with S1 and S2.,Lungs:  Show bilateral wheezes with decreased breath sounds at the bases.,Abdomen:  Soft and obese.  No masses.  Bowel sounds are present.,Extremities:  Show bilateral edema with changes of chronic venostasis.  He does have some open weeping sores.  Pulses could not be palpated due to leg swelling.,IMPRESSION/PLAN:,1.  Diabetes mellitus, type 2, new onset.  At this time, the patient is on Januvia as well as glipizide.  His blood sugar right after eating his supper was 101.  So, I am going to discontinue glipizide, continue on Januvia, and add no-concentrated sweets to the diet.  We will continue to follow his blood sugars closely and make adjustments as needed.,2.  Neuropathy, peripheral, query etiology.  We will check TSH and B12 levels.,3.  Lymphedema.,4.  Recurrent cellulitis.,5.  Obesity, morbid.,6.  Tobacco abuse.  He was encouraged to cut his cigarettes down to 5 cigarettes a day.  He says he feels like smoking after meals.  So, we will let him have it after meals first thing in the morning and last thing at night.,7.  Chronic venostasis.,8.  Lymphedema.  We would check his lipid profile also.,9.  Hypertension.,10.  Backbone pain, status post back surgery.,11.  Status post hernia repair.,12.  Status post penile implant and removal.,13.  Umbilical hernia repair.",
+                    "last_modified": "2020-03-29 14:43:25.568977+00:00",
+                    "annotations": [
+                        {
+                            "id": 45868,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes mellitus, type 2",
+                            "start": 3177,
+                            "end": 3202,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:50.483883+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45869,
+                            "user": "wish",
+                            "cui": "C0457949",
+                            "value": "chronic low back pain",
+                            "start": 190,
+                            "end": 211,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:23.463454+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45870,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "diabetes mellitus",
+                            "start": 1771,
+                            "end": 1788,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:43.250137+00:00",
+                            "manually_created": false,
+                            "acc": 0.507759796770088,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45871,
+                            "user": "wish",
+                            "cui": "C0040336",
+                            "value": "Tobacco abuse",
+                            "start": 3672,
+                            "end": 3685,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:00.039617+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45872,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 163,
+                            "end": 175,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:22.200789+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45873,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3977,
+                            "end": 3989,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:02.405244+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45874,
+                            "user": "wish",
+                            "cui": "C0037315",
+                            "value": "sleep apnea",
+                            "start": 177,
+                            "end": 188,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:22.770427+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45875,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "lymphedema",
+                            "start": 116,
+                            "end": 126,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:20.450448+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45876,
+                            "user": "wish",
+                            "cui": "C0442874",
+                            "value": "Neuropathy",
+                            "start": 3530,
+                            "end": 3540,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:52.113151+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45877,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "Lymphedema",
+                            "start": 3609,
+                            "end": 3619,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:57.921399+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45878,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "Lymphedema",
+                            "start": 3921,
+                            "end": 3931,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:01.244730+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45879,
+                            "user": "wish",
+                            "cui": "C0270922",
+                            "value": "peripheral",
+                            "start": 3542,
+                            "end": 3552,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:26:56.603388+00:00",
+                            "manually_created": false,
+                            "acc": 0.20034677013661278,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45880,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 384,
+                            "end": 392,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:24.129009+00:00",
+                            "manually_created": false,
+                            "acc": 0.6055858234438938,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45881,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "diabetes",
+                            "start": 437,
+                            "end": 445,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:29.365811+00:00",
+                            "manually_created": false,
+                            "acc": 0.6202033469505861,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45882,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obesity",
+                            "start": 154,
+                            "end": 161,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:21.175812+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45883,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "Obesity",
+                            "start": 3651,
+                            "end": 3658,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:58.981064+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45884,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2139,
+                            "end": 2145,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:47.354579+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45885,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "abuse",
+                            "start": 1451,
+                            "end": 1456,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:26:42.165826+00:00",
+                            "manually_created": false,
+                            "acc": 0.44885219751303473,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45886,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obese",
+                            "start": 2428,
+                            "end": 2433,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:48.437168+00:00",
+                            "manually_created": false,
+                            "acc": 0.21882414332755024,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45887,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 1014,
+                            "end": 1018,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:31.921397+00:00",
+                            "manually_created": false,
+                            "acc": 0.2908101132297537,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45888,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2026,
+                            "end": 2030,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:45.260185+00:00",
+                            "manually_created": false,
+                            "acc": 0.33661067727540417,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45889,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "CHF",
+                            "start": 108,
+                            "end": 111,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:15.934779+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3260,
+                    "name": "73",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks.",
+                    "last_modified": "2020-03-29 14:43:25.569498+00:00",
+                    "annotations": [
+                        {
+                            "id": 45890,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea syndrome",
+                            "start": 475,
+                            "end": 507,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:16.011551+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45891,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "Obstructive sleep apnea syndrome",
+                            "start": 1426,
+                            "end": 1458,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:27.551163+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45892,
+                            "user": "wish",
+                            "cui": "C0028756",
+                            "value": "morbid obesity",
+                            "start": 456,
+                            "end": 470,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:13.625351+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45893,
+                            "user": "wish",
+                            "cui": "C0028756",
+                            "value": "Morbid obesity",
+                            "start": 1386,
+                            "end": 1400,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:26.284385+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45894,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "Osteoarthritis",
+                            "start": 1406,
+                            "end": 1420,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:27.016348+00:00",
+                            "manually_created": false,
+                            "acc": 0.41876123881421157,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45895,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 141,
+                            "end": 153,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:10.159147+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45896,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1368,
+                            "end": 1380,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:24.541116+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45897,
+                            "user": "wish",
+                            "cui": "C0037315",
+                            "value": "Sleep apnea",
+                            "start": 1581,
+                            "end": 1592,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:28.270116+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45898,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 885,
+                            "end": 891,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:21.872010+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3261,
+                    "name": "323",
+                    "text": "CHIEF COMPLAINT:,  The patient is here for two-month followup.,HISTORY OF PRESENT ILLNESS:,  The patient is a 55-year-old Caucasian female.  She has hypertension.  She has had no difficulties with chest pain.  She has some shortness of breath only at walking up the stairs.  She has occasional lightheadedness only if she bends over then stands up quickly.  She has had no nausea, vomiting, or diarrhea.  She does have severe osteoarthritis of the left knee and is likely going to undergo total knee replacement with Dr. XYZ in January of this coming year.  The patient is wanting to lose weight before her surgery.  She is concerned about possible coronary disease or stroke risk.  She has not had any symptoms of cardiac disease other than some shortness of breath with exertion, which she states has been fairly stable.  She has had fairly normal lipid panel, last being checked on 11/26/2003.  Cholesterol was 194, triglycerides 118, HDL 41, and LDL 129.  The patient is a nonsmoker.  Her fasting glucose in November 2003 was within normal limits at 94.  Her fasting insulin level was normal.  Repeat nonfasting glucose was 109 on 06/22/2004.  She does not have history of diabetes.  She does not exercise regularly and is not able to because of knee pain.  She also has had difficulties with low back pain.  X-ray of the low back did show a mild compression fracture of L1.  She has had no falls that would contribute to a compression fracture.  She has had a normal DEXA scan on 11/07/2003 that does not really correlate with having a compression fracture of the lumbar spine; however, it is possible that arthritis could contribute to falsely high bone density reading on DEXA scan.  She is wanting to consider treatment for prevention of further compression fractures and possible osteoporosis.,CURRENT MEDICATIONS:,  Hydrochlorothiazide 12.5 mg a day, Prozac 20 mg a day, Vioxx 25 mg a day, vitamin C 250 mg daily, vitamin E three to four tablets daily, calcium with D 1500 mg daily, multivitamin daily, aspirin 81 mg daily, Monopril 40 mg daily, Celexa p.r.n.,ALLERGIES:  ,Bactrim, which causes nausea and vomiting, and adhesive tape.,PAST MEDICAL HISTORY:,1.  Hypertension.,2.  Depression.,3.  Myofascitis of the feet.,4.  Severe osteoarthritis of the knee.,5.  Removal of the melanoma from the right thigh in 1984.,6.  Breast biopsy in January of 1997, which was benign.,7.  History of Holter monitor showing ectopic beat.  Echocardiogram was normal.  These were in 1998.,8.  Compression fracture of L1, unknown cause.  She had had no injury.  Interestingly, DEXA scan was normal 11/07/2003, which is somewhat conflicting.,SOCIAL HISTORY:,  The patient is married.  She is a nonsmoker and nondrinker.,REVIEW OF SYSTEMS:,  As per the HPI.,PHYSICAL EXAMINATION:,General:  This is a well-developed, well-nourished, pleasant Caucasian female, who is overweight.,Vital signs:  Weight:  Refused.  Blood pressure:  148/82, on recheck by myself with a large cuff, it was 125/60.  Pulse:  64.  Respirations:  20.  Temperature:  96.3.,Neck:  Supple.  Carotids are silent.,Chest:  Clear to auscultation.,Cardiovascular:  Revealed a regular rate and rhythm without murmur, S3, or S4.,Extremities:  Revealed no edema.,Neurologic:  Grossly intact.,RADIOLOGY:  EKG revealed normal sinus rhythm, rate 61, borderline first degree AV block, and poor R-wave progression in the anterior leads.,ASSESSMENT:,1.  Hypertension, well controlled.,2.  Family history of cerebrovascular accident.,3.  Compression fracture of L1, mild.,4.  Osteoarthritis of the knee.,5.  Mildly abnormal chest x-ray.,PLAN:,1.  We will get a C-reactive protein cardiac.,2.  We discussed weight loss options.  I would recommend Weight Watchers or possibly having her see a dietician.  She will think about these options.  She is not able to exercise regularly right now because of knee pain.,3.  We would recommend a screening colonoscopy.  She states that we discussed this in the past and she canceled her appointment to have that done.  She will go ahead and make an appointment to see Dr. XYZ for screening colonoscopy.,4.  We will start Fosamax 70 mg once weekly.  She is to take this in the morning on an empty stomach with full glass of water.  She is not to eat, lie down, or take other medications for at least 30 minutes after taking Fosamax.,5.  I would like to see her back in one to two months.  At that time, we can do preoperative evaluation and we will probably send her to a cardiologist because of mildly abnormal EKG for preoperative cardiac testing.  One would also consider preoperative beta-blocker for cardiac protection.",
+                    "last_modified": "2020-03-29 14:43:25.570040+00:00",
+                    "annotations": [
+                        {
+                            "id": 45899,
+                            "user": "wish",
+                            "cui": "C0409959",
+                            "value": "osteoarthritis of the knee",
+                            "start": 2241,
+                            "end": 2267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:28.648653+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45900,
+                            "user": "wish",
+                            "cui": "C0409959",
+                            "value": "Osteoarthritis of the knee",
+                            "start": 3523,
+                            "end": 3549,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:36.296025+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45901,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary disease",
+                            "start": 649,
+                            "end": 665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:38.241561+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45902,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "cardiac disease",
+                            "start": 715,
+                            "end": 730,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:46.024431+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45903,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "osteoarthritis",
+                            "start": 426,
+                            "end": 440,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:37.040592+00:00",
+                            "manually_created": false,
+                            "acc": 0.5742284350319431,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45904,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 149,
+                            "end": 161,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:35.916231+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45905,
+                            "user": "wish",
+                            "cui": "C0029456",
+                            "value": "osteoporosis",
+                            "start": 1789,
+                            "end": 1801,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:56.105638+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45906,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 2171,
+                            "end": 2183,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:07.859700+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45907,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3402,
+                            "end": 3414,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:35.289540+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45908,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "Depression",
+                            "start": 2189,
+                            "end": 2199,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:09.079793+00:00",
+                            "manually_created": false,
+                            "acc": 0.6469596512622217,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45909,
+                            "user": "wish",
+                            "cui": "C1561826",
+                            "value": "overweight",
+                            "start": 2858,
+                            "end": 2868,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:30.070531+00:00",
+                            "manually_created": false,
+                            "acc": 0.395681443453883,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45910,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "arthritis",
+                            "start": 1612,
+                            "end": 1621,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:52.254417+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45911,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 1177,
+                            "end": 1185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:49.391903+00:00",
+                            "manually_created": false,
+                            "acc": 0.647106142491134,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45912,
+                            "user": "wish",
+                            "cui": "C0018801",
+                            "value": "cardiac",
+                            "start": 4590,
+                            "end": 4597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:38.696859+00:00",
+                            "manually_created": false,
+                            "acc": 0.37745908225304,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45913,
+                            "user": "wish",
+                            "cui": "C3844825",
+                            "value": "stroke",
+                            "start": 669,
+                            "end": 675,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:43.614396+00:00",
+                            "manually_created": false,
+                            "acc": 0.5990868850475312,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45914,
+                            "user": "wish",
+                            "cui": "C0018794",
+                            "value": "block",
+                            "start": 3328,
+                            "end": 3333,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:28:34.020606+00:00",
+                            "manually_created": false,
+                            "acc": 0.35290558192865507,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3262,
+                    "name": "1737",
+                    "text": "CHIEF COMPLAINT:,  Vomiting and nausea.,HPI: , The patient is a 52-year-old female who said she has had 1 week of nausea and vomiting, which is moderate-to-severe.  She states she has it at least once a day.  It can be any time, but can also be postprandial.  She states she will vomit up some dark brown-to-green fluid.  There has been no hematemesis.  She states because of the nausea and vomiting, she has not been able to take much in the way of PO intake over the past week.  She states her appetite is poor.  The patient has lost 40 pounds of weight over the past 16 months.  She states for the past few days, she has been getting severe heartburn.  She used Tums over-the-counter and that did not help.  She denies having any dysphagia or odynophagia.  She is not having any abdominal pain.  She has no diarrhea, rectal bleeding, or melena.  She has had in the past, which was remote.  She did have some small amounts of rectal bleeding on the toilet tissue only if she passed a harder stool.  She has a history of chronic constipation for most of her life but she definitely has a bowel movement every 3 to 4 days and this is unchanged.  The patient states she has never had any endoscopy or barium studies of the GI tract.,The patient is anemic and her hemoglobin is 5.7 and she is thrombocytopenic with the platelet count of 34.  She states she has had these abnormalities since she has been diagnosed with breast cancer.  She states that she has metastatic breast cancer and that is in her rib cage and spine and she is getting hormonal chemotherapy for this and she is currently under the care of an oncologist.  The patient also has acute renal failure at this point.  The patient said she had a PET scan done about a week ago.,PAST MEDICAL HISTORY:,  Metastatic breast cancer to her rib cage and spine, hypothyroidism, anemia, thrombocytopenia, hypertension, Bells palsy, depression, uterine fibroids, hysterectomy, cholecystectomy, breast lumpectomy, and thyroidectomy.,ALLERGIES: , No known drug allergies.,MEDICINES:,  She is on Zofran, Protonix, fentanyl patch, Synthroid, Ativan, and Ambien.,SOCIAL HISTORY:  ,The patient is divorced and is a homemaker.  No smoking or alcohol.,FAMILY HISTORY:,  Negative for any colon cancer or polyps.  Her father died of mesothelioma, mother died of Hodgkin lymphoma.,SYSTEMS REVIEW: , No fevers, chills or sweats.  She has no chest pain, palpitations, coughing or wheezing.  She does get shortness of breath, no hematuria, dysuria, arthralgias, myalgias, rashes, jaundice, bleeding or clotting disorders.  The rest of the system review is negative as per the HPI.,PHYSICAL EXAM: , Temperature 98.4, blood pressure 95/63, heart rate 84, respiratory rate of 18, and weight is 108 kg.  GENERAL APPEARANCE:  The patient was comfortable in bed.  Skin exam is negative for any rashes or jaundice.  LYMPHATICS:  There is no palpable lymphadenopathy of the cervical or the supraclavicular area.  HEENT:  She has some mild ptosis of the right eye.  There is no icterus.  The patient's conjunctivae and sclerae are normal.  Pupils are equal, round, and reactive to light and accommodation.  No lesions of the oral mucosa or mucosa of the pharynx.  NECK:  Supple.  Carotids are 2+.  No thyromegaly, masses or adenopathy.  HEART:  Has regular rhythm.  Normal S1 and S2.  She has a 2/6 systolic ejection murmur.  No rubs or gallops.  Lungs are clear to percussion and auscultation.  Abdomen is obese, it may be mildly distended.  There is no increased tympany.  The patient does have hepatosplenomegaly.  There is no obvious evidence of ascites.  The abdomen is nontender, bowel sounds are present.  The extremities show some swelling and edema of the ankle regions bilaterally.  Legs are in SCDs.  No cyanosis or clubbing.  For the rectal exam, it shows brown stool that is very trace heme positive at most.  For the neuro exam, she is awake, alert, and oriented x3.  Memory intact.  No focal deficits.  Insight and judgment are intact.,X-RAY AND LABORATORY DATA:  ,She came in, white count 9.2, hemoglobin 7.2, hematocrit 22.2, MCV of 87, platelet count is 47,000.  Calcium is 8.1, sodium 134, potassium 5.3, chloride 102, bicarbonate 17, BUN of 69, creatinine of 5.2, albumin 2.2, ALT 28, bilirubin is 2.2, alkaline phosphatase is 359, AST is 96, and lipase is 30.  Today, her hemoglobin is 5.7, TSH is 1.1, platelet count is 34,000, alkaline phosphatase is 303, and bilirubin of 1.7.,IMPRESSION,1.  The patient has one week of nausea and vomiting with decreased p.o. intake as well as dehydration.  This could be on the basis of her renal failure.  She may have a viral gastritis.  The patient does have a lot of gastroesophageal reflux disease symptoms recently.  She could have peptic mucosal inflammation or peptic ulcer disease.,2.  The patient does have hepatosplenomegaly.  There is a possibility she could have liver metastasis from the breast cancer.,3.  She has anemia as well as thrombocytopenia.  The patient states this is chronic.,4.  A 40-pound weight loss.,5.  Metastatic breast cancer.,6.  Increased liver function tests.  Given her bone metastasis, the elevated alkaline phosphatase may be from this as opposed to underlying liver disease.,7.  Chronic constipation.,8.  Acute renal failure.,PLAN:  ,The patient will be on a clear liquid diet.  She will continue on the Zofran.  She will be on IV Protonix.  The patient is going to be transfused packed red blood cells and her hemoglobin and hematocrit will be monitored.  I obtained the result of the abdominal x-rays she had done through the ER.  The patient has a consult pending with the oncologist to see what her PET scan show.  There is a renal consult pending.  I am going to have her get a total abdominal ultrasound to see if there is any evidence of liver metastasis and also to assess her kidneys.  Her laboratory studies will be followed.  Based upon the patient's medical condition and including her laboratory studies including a platelet count, we talked about EGD versus upper GI workup per upper GI symptoms.  I discussed informed consent for EGD.  I discussed the indications, risks, benefits, and alternatives.  The risks reviewed included, but were not limited to an allergic reaction or side effect to medicines, cardiopulmonary complications, bleeding, infection, perforation, and needing to get admitted for antibiotics or blood transfusion or surgery.  The patient voices her understanding of the above.  She wants to think about what she wants to do.  Overall, this is a very ill patient with multiorgan involvement.",
+                    "last_modified": "2020-03-29 14:43:25.570542+00:00",
+                    "annotations": [
+                        {
+                            "id": 45915,
+                            "user": "wish",
+                            "cui": "C0017168",
+                            "value": "gastroesophageal reflux disease",
+                            "start": 4660,
+                            "end": 4691,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:00.605971+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45916,
+                            "user": "wish",
+                            "cui": "C0022660",
+                            "value": "acute renal failure",
+                            "start": 1646,
+                            "end": 1665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:29:58.723340+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45917,
+                            "user": "wish",
+                            "cui": "C0022660",
+                            "value": "Acute renal failure",
+                            "start": 5234,
+                            "end": 5253,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:19.851708+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45918,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "clotting disorders",
+                            "start": 2541,
+                            "end": 2559,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:30.405360+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45919,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 1841,
+                            "end": 1857,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:08.616081+00:00",
+                            "manually_created": false,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45920,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 4936,
+                            "end": 4952,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:16.490102+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45921,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2882,
+                            "end": 2897,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:36.590262+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45922,
+                            "user": "wish",
+                            "cui": "C0020676",
+                            "value": "hypothyroidism",
+                            "start": 1817,
+                            "end": 1831,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:03.720247+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45923,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 4580,
+                            "end": 4593,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:51.950950+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45924,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver disease",
+                            "start": 5189,
+                            "end": 5202,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:17.200992+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45925,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1859,
+                            "end": 1871,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:09.327015+00:00",
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+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45926,
+                            "user": "wish",
+                            "cui": "C0030920",
+                            "value": "peptic ulcer",
+                            "start": 4758,
+                            "end": 4770,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:08.404899+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45927,
+                            "user": "wish",
+                            "cui": "C0011175",
+                            "value": "dehydration",
+                            "start": 4532,
+                            "end": 4543,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:45.749417+00:00",
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+                            "acc": 0.41796213841315516,
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45928,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 1886,
+                            "end": 1896,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:10.062264+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45929,
+                            "user": "wish",
+                            "cui": "C0011168",
+                            "value": "dysphagia",
+                            "start": 733,
+                            "end": 742,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:29:56.558987+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45930,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 2468,
+                            "end": 2477,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:10.651770+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45931,
+                            "user": "wish",
+                            "cui": "C0018889",
+                            "value": "infection",
+                            "start": 6289,
+                            "end": 6298,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:30.093363+00:00",
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+                            "acc": 0.31574393251769717,
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45932,
+                            "user": "wish",
+                            "cui": "C0022354",
+                            "value": "jaundice",
+                            "start": 2519,
+                            "end": 2527,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:13.462811+00:00",
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+                            "acc": 0.22590957798956124,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45933,
+                            "user": "wish",
+                            "cui": "C0022354",
+                            "value": "jaundice",
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:32.274369+00:00",
+                            "manually_created": false,
+                            "acc": 0.20021699596706105,
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+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45934,
+                            "user": "wish",
+                            "cui": "C0009241",
+                            "value": "deficits",
+                            "start": 3937,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45935,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 3140,
+                            "end": 3147,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:41.310996+00:00",
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+                            "acc": 0.6158228132937934,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45936,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 1833,
+                            "end": 1839,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:08.041822+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45937,
+                            "user": "wish",
+                            "cui": "C0033377",
+                            "value": "ptosis",
+                            "start": 2970,
+                            "end": 2976,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:39.510322+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45938,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 4918,
+                            "end": 4924,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:14.820269+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45939,
+                            "user": "wish",
+                            "cui": "C0042769",
+                            "value": "viral",
+                            "start": 4611,
+                            "end": 4616,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:55.634769+00:00",
+                            "manually_created": false,
+                            "acc": 0.42153441798519353,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45940,
+                            "user": "wish",
+                            "cui": "C1565489",
+                            "value": "renal",
+                            "start": 5659,
+                            "end": 5664,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:31:29.038057+00:00",
+                            "manually_created": false,
+                            "acc": 0.3914989963780615,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3263,
+                    "name": "641",
+                    "text": "HISTORY OF PRESENT ILLNESS:, The patient is a 71-year-old Caucasian female with a history of diabetes, osteoarthritis, atrial fibrillation, hypertension, asthma, obstructive sleep apnea on CPAP, diabetic foot ulcer, anemia and left lower extremity cellulitis. She was brought in by the EMS service to Erlanger emergency department with pulseless electrical activity. Her husband states that he was at home with his wife, when she presented to him complaining of fever and chills. She became acutely unresponsive. She was noted to have worsening of her breathing. She took several of her MDIs and then was placed on her CPAP. He went to notify EMS and when he returned, she was found to not be breathing. He stated that she was noted to have no breathing in excess of 10 minutes. He states that the EMS system arrived at the home and she was found not breathing. The patient was intubated at the scene and upon arrival to Erlanger Medical Center, she was found to have pupils fixed and dilated. She was seen by me in the emergency department and was on Neo-Synephrine, dopamine with a blood pressure of 97/22 with a rapid heart rate and again, in an unresponsive state.,REVIEW OF SYSTEMS:, Review of systems was not obtainable.,PAST MEDICAL HISTORY:, Diabetes, osteoarthritis, hypertension, asthma, atrial fibrillation, diabetic foot ulcer and anemia.,PAST SURGICAL HISTORY:, Noncontributory to above.,FAMILY HISTORY:, Mother with history of coronary artery disease.,SOCIAL HISTORY:, The patient is married. She uses no ethanol, no tobacco and no illicits. She has a very support family unit.,MEDICATIONS:, Augmentin; Detrol LA; lisinopril.,IMMUNIZATIONS:, Immunizations were up to date for influenza, negative for Pneumovax.,ALLERGIES:, PENICILLIN.,LABORATORY AT PRESENTATION:, White blood cell count 11, hemoglobin 10.5, hematocrit 32.2, platelets 175,000. Sodium 148, potassium 5.2, BUN 30, creatinine 2.2 and glucose 216. PT was 22.4.,RADIOLOGIC DATA:, Chest x-ray revealed a diffuse pulmonary edema.,PHYSICAL EXAMINATION:,VITAL SIGNS: Blood pressure 97/52, pulse of 79, respirations 16, O2 sat 100%.,HEENT: The patient's pupils were again, fixed and dilated and intubated on the monitor.,CHEST: Poor air movement bilateral with bilateral rales.,CARDIOVASCULAR: Regular rate and rhythm.,ABDOMEN: The abdomen was obese, nondistended and nontender.,EXTREMITIES: Left diabetic foot had oozing pus drainage from the foot.,GU: Foley catheter was in place.,IMPRESSION AND PLAN:,1. Acute cardiac arrest with pulseless electrical activity with hypotensive shock and respiratory failure: Will continue ventilator support. Will rule out pulmonary embolus, rule out myocardial infarction. Continue pressors. The patient is currently on dopamine, Neo-Synephrine and Levophed.,2. Acute respiratory distress syndrome: Will continue ventilatory support.,3. Questionable sepsis: Will obtain blood cultures, intravenous vancomycin and Rocephin given.,4. Hypotensive shock: Will continue pressors. Will check random cortisol. Hydrocortisone was added.,Further inpatient management for this patient will be provided by Dr. R. The patient's status was discussed with her daughter and her husband. The husband states that his wife has been very ill in the past with multiple admissions, but he had never seen her as severely ill as with this event. He states that she completely was not breathing at all and he is aware of the severity of her illness and the gravity of her current prognosis. Will obtain the assistance with cardiology with this admission and will continue pressors and supportive therapy. The family will make an assessment and final decision concerning her long-term management after a 24 hour period.",
+                    "last_modified": "2020-03-29 14:43:25.571075+00:00",
+                    "annotations": [
+                        {
+                            "id": 45941,
+                            "user": "wish",
+                            "cui": "C0035222",
+                            "value": "Acute respiratory distress syndrome",
+                            "start": 2770,
+                            "end": 2805,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:24.988879+00:00",
+                            "manually_created": false,
+                            "acc": 0.42217936897240227,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45942,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 162,
+                            "end": 185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:51.755695+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45943,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1441,
+                            "end": 1464,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:04.465676+00:00",
+                            "manually_created": false,
+                            "acc": 0.6070006978420385,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45944,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 2658,
+                            "end": 2679,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:22.662364+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45945,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 119,
+                            "end": 138,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:49.615967+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45946,
+                            "user": "wish",
+                            "cui": "C1456868",
+                            "value": "diabetic foot ulcer",
+                            "start": 195,
+                            "end": 214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:52.402797+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45947,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 1298,
+                            "end": 1317,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:02.117907+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45948,
+                            "user": "wish",
+                            "cui": "C1456868",
+                            "value": "diabetic foot ulcer",
+                            "start": 1319,
+                            "end": 1338,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:02.846030+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45949,
+                            "user": "wish",
+                            "cui": "C1145670",
+                            "value": "respiratory failure",
+                            "start": 2561,
+                            "end": 2580,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:19.448362+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45950,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "pulmonary embolus",
+                            "start": 2630,
+                            "end": 2647,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:20.692060+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45951,
+                            "user": "wish",
+                            "cui": "C0018790",
+                            "value": "cardiac arrest",
+                            "start": 2484,
+                            "end": 2498,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:14.816376+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45952,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "osteoarthritis",
+                            "start": 103,
+                            "end": 117,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:49.047711+00:00",
+                            "manually_created": false,
+                            "acc": 0.382354204516037,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45953,
+                            "user": "wish",
+                            "cui": "C0263746",
+                            "value": "osteoarthritis",
+                            "start": 1260,
+                            "end": 1274,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:00.083965+00:00",
+                            "manually_created": false,
+                            "acc": 0.3797734595055929,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45954,
+                            "user": "wish",
+                            "cui": "C0206172",
+                            "value": "diabetic foot",
+                            "start": 2368,
+                            "end": 2381,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:11.742733+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45955,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 140,
+                            "end": 152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:50.312479+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45956,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1276,
+                            "end": 1288,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:00.632163+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45957,
+                            "user": "wish",
+                            "cui": "C0021400",
+                            "value": "influenza",
+                            "start": 1690,
+                            "end": 1699,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:06.631495+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45958,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 93,
+                            "end": 101,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:47.980775+00:00",
+                            "manually_created": false,
+                            "acc": 0.6633429762750487,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45959,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "Diabetes",
+                            "start": 1250,
+                            "end": 1258,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:53.783718+00:00",
+                            "manually_created": false,
+                            "acc": 0.5820456035685702,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45960,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 154,
+                            "end": 160,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:51.152069+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45961,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 216,
+                            "end": 222,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:53.101699+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45962,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 1290,
+                            "end": 1296,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:01.234687+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45963,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 1343,
+                            "end": 1349,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:03.754440+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45964,
+                            "user": "wish",
+                            "cui": "C0243026",
+                            "value": "sepsis",
+                            "start": 2858,
+                            "end": 2864,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:29.240906+00:00",
+                            "manually_created": false,
+                            "acc": 0.2798273073168636,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3264,
+                    "name": "516",
+                    "text": "HISTORY: , A 59-year-old male presents in followup after being evaluated and treated as an in-patient by Dr. X for acute supraglottitis with airway obstruction and parapharyngeal cellulitis and peritonsillar cellulitis, admitted on 05/23/2008, discharged on 05/24/2008.  Please refer to chart for history and physical and review of systems and medical record.,PROCEDURES PERFORMED:  ,Fiberoptic laryngoscopy identifying about 30% positive Muller maneuver.  No supraglottic edema; +2/4 tonsils with small tonsil cyst, mid tonsil, left.,IMPRESSION:  ,1.  Resolving acute supraglottic edema secondary to pharyngitis and tonsillar cellulitis.,2.  Possible obstructive sleep apnea; however, the patient describes no known history of this phenomenon.,3.  Hypercholesterolemia.,4.  History of anxiety.,5.  History of coronary artery disease.,6.  Hypertension.,RECOMMENDATIONS: , Recommend continuing on Augmentin and tapered prednisone as prescribed by Dr. X.  Cultures are still pending and follow up with Dr. X in the next few weeks for re-evaluation.  I did discuss with the patient whether or not a sleep study would be beneficial and the patient denies any history of obstructive sleep apnea and wishes not to pursue this, but we will leave this open for him to talk with Dr. X on his followup, and he will pay more attention on his sleep pattern.",
+                    "last_modified": "2020-03-29 14:43:25.571603+00:00",
+                    "annotations": [
+                        {
+                            "id": 45965,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 652,
+                            "end": 675,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:54.846161+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45966,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 1166,
+                            "end": 1189,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:12.067543+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45967,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 810,
+                            "end": 833,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:03.610019+00:00",
+                            "manually_created": false,
+                            "acc": 0.6981489834095193,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45968,
+                            "user": "wish",
+                            "cui": "C0020443",
+                            "value": "Hypercholesterolemia",
+                            "start": 749,
+                            "end": 769,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:57.147741+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45969,
+                            "user": "wish",
+                            "cui": "C0001883",
+                            "value": "airway obstruction",
+                            "start": 141,
+                            "end": 159,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:45.411134+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45970,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 839,
+                            "end": 851,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:04.958905+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45971,
+                            "user": "wish",
+                            "cui": "C0031350",
+                            "value": "pharyngitis",
+                            "start": 601,
+                            "end": 612,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:51.915150+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45972,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 511,
+                            "end": 515,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:47.498831+00:00",
+                            "manually_created": false,
+                            "acc": 0.43146527834167814,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45973,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 105,
+                            "end": 107,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:32:41.047207+00:00",
+                            "manually_created": false,
+                            "acc": 0.3069208361522175,
+                            "meta_anns": []
+                        },
+                        {
+                            "id": 45974,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 946,
+                            "end": 948,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:33:08.577098+00:00",
+                            "manually_created": false,
+                            "acc": 0.23634198944657459,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45975,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 1000,
+                            "end": 1002,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:33:11.187011+00:00",
+                            "manually_created": false,
+                            "acc": 0.3515016779739107,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3265,
+                    "name": "96",
+                    "text": "REASON FOR ADMISSION:,  Intraperitoneal chemotherapy.,HISTORY: , A very pleasant 63-year-old hypertensive, nondiabetic, African-American female with a history of peritoneal mesothelioma.  The patient has received prior intravenous chemotherapy.  Due to some increasing renal insufficiency and difficulties with hydration, it was elected to change her to intraperitoneal therapy.  She had her first course with intraperitoneal cisplatin, which was very difficultly tolerated by her.  Therefore, on the last hospitalization for IP chemo, she was switched to Taxol.  The patient since her last visit has done relatively well.  She had no acute problems and has basically only chronic difficulties.  She has had some decrease in her appetite, although her weight has been stable.  She has had no fever, chills, or sweats.  Activity remains good and she has continued difficulty with depression associated with type 1 bipolar disease.  She had a recent CT scan of the chest and abdomen.  The report showed the following findings.  In the chest, there was a small hiatal hernia and a calcification in the region of the mitral valve.  There was one mildly enlarged mediastinal lymph node.  Several areas of ground-glass opacity were noted in the lower lungs, which were subtle and nonspecific.  No pulmonary masses were noted.  In the abdomen, there were no abnormalities of the liver, pancreas, spleen, and left adrenal gland.  On the right adrenal gland, a 17 x 13 mm right adrenal adenoma was noted.  There were some bilateral renal masses present, which were not optimally evaluated due to noncontrast study.  A hyperdense focus in the lower pole of the left kidney was felt to most probably represent a hemorrhagic renal cyst.  It was unchanged from February and measured 9 mm.  There was again minimal left pelvic/iliac _______ with right and left peritoneal catheters noted and were unremarkable.  Mesenteric nodes were seen, which were similar in appearance to the previous study that was felt somewhat more conspicuous due to opacified bowel adjacent to them.  There was a conglomerate omental mass, which had decreased in volume when compared to previous study, now measuring 8.4 x 1.6 cm.  In the pelvis, there was a small amount of ascites in the right pelvis extending from the inferior right paracolic gutter.  No suspicious osseous lesions were noted.,CURRENT MEDICATIONS: , Norco 10 per 325 one to two p.o. q.4h. p.r.n. pain, atenolol 50 mg p.o. b.i.d., Levoxyl 75 mcg p.o. daily, Phenergan 25 mg p.o. q.4-6h. p.r.n. nausea, lorazepam 0.5 mg every 8 hours as needed for anxiety, Ventolin HFA 2 puffs q.6h. p.r.n., Plavix 75 mg p.o. daily, Norvasc 10 mg p.o. daily, Cymbalta 60 mg p.o. daily, and Restoril 30 mg at bedtime as needed for sleep.,ALLERGIES: , THE PATIENT STATES THAT ON OCCASION LORAZEPAM DOSE PRODUCE HALLUCINATIONS, AND SHE HAD DIFFICULTY TOLERATING ATIVAN.,PHYSICAL EXAMINATION,VITAL SIGNS:  The patient's height is 165 cm, weight is 77 kg.  BSA is 1.8 sq m.  The vital signs reveal blood pressure to be 158/75, heart rate 61 per minute with a regular sinus rhythm, temperature of 96.6 degrees, respiratory rate 18 with an SpO2 of 100% on room air.,GENERAL:  She is normally developed; well nourished; very cooperative; oriented to person, place, and time; and in no distress at this time.  She is anicteric.,HEENT:  EOM is full.  Pupils are equal, round, reactive to light and accommodation.  Disc margins are unremarkable as are the ocular fields.  Mouth and pharynx within normal limits.  The TMs are glistening bilaterally.  External auditory canals are unremarkable.,NECK:  Supple, nontender without adenopathy.  Trachea is midline.  There are no bruits nor is there jugular venous distention.,CHEST:  Clear to percussion and auscultation bilaterally.,HEART:  Regular rate and rhythm without murmur, gallop, or rub.,BREASTS:  Unremarkable.,ABDOMEN:  Slightly protuberant.  Bowel tones are present and normal.  She has no palpable mass, and there is no hepatosplenomegaly.,EXTREMITIES:  Within normal limits.,NEUROLOGICAL:  Nonfocal.,DIAGNOSTIC IMPRESSION,1.  Intraperitoneal mesothelioma, partial remission, as noted by CT scan of the abdomen.,2.  Presumed left lower pole kidney hemorrhagic cyst.,3.  History of hypertension.,4.  Type 1 bipolar disease.,PLAN: , The patient will have appropriate laboratory studies done.  A left renal ultrasound is requested to further delineate the possible hemorrhagic cyst in the lower left pole of the left kidney.  Interventional radiology will access for ports in the abdomen.  She will receive chemotherapy intraperitoneally.  The plan will be to use intraperitoneal Taxol.",
+                    "last_modified": "2020-03-29 14:43:25.572115+00:00",
+                    "annotations": [
+                        {
+                            "id": 45976,
+                            "user": "wish",
+                            "cui": "C1565489",
+                            "value": "renal insufficiency",
+                            "start": 269,
+                            "end": 288,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:37.354676+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45977,
+                            "user": "wish",
+                            "cui": "C0018524",
+                            "value": "HALLUCINATIONS",
+                            "start": 2824,
+                            "end": 2838,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:02.552009+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45978,
+                            "user": "wish",
+                            "cui": "C3489393",
+                            "value": "hiatal hernia",
+                            "start": 1058,
+                            "end": 1071,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:53.586051+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45979,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 4243,
+                            "end": 4255,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:25.767848+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45980,
+                            "user": "wish",
+                            "cui": "C0027765",
+                            "value": "NEUROLOGICAL",
+                            "start": 4038,
+                            "end": 4050,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:34:10.466425+00:00",
+                            "manually_created": false,
+                            "acc": 0.3186451615835371,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45981,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 879,
+                            "end": 889,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:39.197716+00:00",
+                            "manually_created": false,
+                            "acc": 0.5936750710427917,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45982,
+                            "user": "wish",
+                            "cui": "C0005586",
+                            "value": "bipolar",
+                            "start": 913,
+                            "end": 920,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:52.379262+00:00",
+                            "manually_created": false,
+                            "acc": 0.440304555148024,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45983,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2340,
+                            "end": 2347,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:00.337395+00:00",
+                            "manually_created": false,
+                            "acc": 0.4711664559242475,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45984,
+                            "user": "wish",
+                            "cui": "C0005586",
+                            "value": "bipolar",
+                            "start": 4268,
+                            "end": 4275,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:27.493983+00:00",
+                            "manually_created": false,
+                            "acc": 0.35997115535464863,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45985,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type 1",
+                            "start": 906,
+                            "end": 912,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:42.521217+00:00",
+                            "manually_created": false,
+                            "acc": 0.5226589019195093,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45986,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "Type 1",
+                            "start": 4261,
+                            "end": 4267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:26.525615+00:00",
+                            "manually_created": false,
+                            "acc": 0.3689247130958623,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45987,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 1719,
+                            "end": 1723,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:57.526267+00:00",
+                            "manually_created": false,
+                            "acc": 0.3789974686347847,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45988,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 4222,
+                            "end": 4226,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:11.994893+00:00",
+                            "manually_created": false,
+                            "acc": 0.43844643908592906,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45989,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 4436,
+                            "end": 4440,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:28.465110+00:00",
+                            "manually_created": false,
+                            "acc": 0.49341893039278806,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3266,
+                    "name": "2124",
+                    "text": "INDICATIONS FOR PROCEDURE:, A 51-year-old, obese, white female with positive family history of coronary disease and history of chest radiation for Hodgkin disease 20 years ago with no other identifiable risk factors who presents with an acute myocardial infarction with elevated enzymes. The chest pain occurred early Tuesday morning. She was treated with Plavix, Lovenox, etc., and transferred for coronary angiography and possible PCI. The plan was discussed with the patient and all questions answered.,PROCEDURE NOTE:, Following sterile prep and drape, the right groin and instillation of 1% Xylocaine anesthesia, the right femoral artery was percutaneously entered with a single wall puncture. A 6-French sheath inserted. Selective left and right coronary injections performed using Judkins coronary catheters with a 6-French pigtail catheter used to obtain left ventricle pressures, and a left ventriculography. The left pullback pressure. The catheters withdrawn. Sheath injection. Hemostasis obtained with a 6-French Angio-Seal device. She tolerated the procedure well.,Left ventricular end-diastolic pressure equals 25 mmHg post A wave. No aortic valve or systolic gradient on pullback.,ANGIOGRAPHIC FINDINGS:,I. Left coronary artery: The left main coronary artery is,normal. The left anterior descending extends to the apex and has only minor luminal irregularities within the midportion of the vessel. Normal diagonal branches. Normal septal perforator branches. The left circumflex is a nondominant vessel with only minor irregularities with normal obtuse marginal branches.,II. Right coronary artery: The proximal right coronary artery has a focal calcification. There is minor plaque with luminal irregularity in the proximal and midportion of the vessel with no narrowing greater than 10 to 20% at most. The right coronary artery is a dominant system which gives off normal posterior,descending and posterior lateral branches. TIMI 3 flow is present.,III. Left ventriculogram: The left ventricle is slightly enlarged with normal contraction of the base, but, with wall motion abnormality involving the anteroapical and inferoapical left ventricle with hypokinesis within the apical portion. Ejection fraction estimated 40%, 1+ mitral regurgitation (echocardiogram ordered).,DISCUSSION:, Recent inferoapical mild myocardial infarction by left ventriculography and cardiac enzymes with elevated left ventricular end-diastolic pressure post A wave, but, only minor residual coronary artery plaque with calcification proximal right coronary artery.,PLAN:, Medical treatment is contemplated, including ACE inhibitor, a beta blocker, aspirin, Plavix, nitrates. An echocardiogram is ordered to exclude apical left ventricular thrombus and to further assess ejection fraction.",
+                    "last_modified": "2020-03-29 14:43:25.572645+00:00",
+                    "annotations": [
+                        {
+                            "id": 45990,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 237,
+                            "end": 264,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:39.831375+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45991,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 2327,
+                            "end": 2348,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:48.429926+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45992,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary disease",
+                            "start": 95,
+                            "end": 111,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:37.118751+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45993,
+                            "user": "wish",
+                            "cui": "C1299433",
+                            "value": "left main",
+                            "start": 1248,
+                            "end": 1257,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:35:47.265141+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45994,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obese",
+                            "start": 43,
+                            "end": 48,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:36.377335+00:00",
+                            "manually_created": false,
+                            "acc": 0.3616767134370854,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3267,
+                    "name": "1377",
+                    "text": "CHIEF COMPLAINT: , Penile discharge, infected-looking glans.,HISTORY OF PRESENT ILLNESS: , The patient is a 67-year-old African-American male, who was recently discharged from the hospital on July 21, 2008 after being admitted for altered mental status and before that after undergoing right above knee amputation for wet gangrene.  The patient was transferred to Nursing Home and presents today from the nursing home with complaints of bleeding from the right AKA stump and penile discharge.  As per the patient during his hospitalizations over here, he had indwelling Foley catheter for a few days and when he was discharged at the nursing home he was discharged without the catheter.  However, the patient was brought back to the ED today when he suffered fall yesterday and started bleeding from his stump.  While placing the catheter in the ED on retraction of foreskin purulent discharge was seen from the penis and the glans appeared infected, so urology consult was placed.,REVIEW OF SYSTEMS: , Negative except as in the HPI.,PAST MEDICAL HISTORY: , Significant for end-stage renal disease on dialysis, hypertension, peripheral vascular disease, coronary artery disease, congestive heart failure, diabetes, and hyperlipidemia.,PAST SURGICAL HISTORY:  ,Right AKA,MEDICATIONS:,  Novolin, Afrin, Nephro-Vite, Neurontin, lisinopril, furosemide, Tums, labetolol, Plavix, nitroglycerin, Aricept, omeprazole, oxycodone, Norvasc, Renagel, and morphine.,ALLERGIES: , PENICILLIN and ADHESIVE TAPE.,FAMILY HISTORY: , Significant for hypertension, hyperlipidemia, diabetes, chronic renal insufficiency, and myocardial infarction.,SOCIAL HISTORY: , The patient lives alone.  He is unemployed, disabled.  He has history of tobacco use in the past.  He denies alcohol or drug abuse.,PHYSICAL EXAMINATION:,GENERAL:  A well-appearing African-American male lying comfortably in bed, in acute distress.,NECK:  Supple.,LUNGS:  Clear to auscultation bilaterally.,CARDIOVASCULAR:  S1 and S2, normal.,ABDOMEN:  Soft, nondistended, and nontender.,GENITOURINARY:  Penis is not circumcised.  Currently, indwelling Foley catheter in place.  On retraction of the foreskin, pale-looking glans tip with areas of yellow-white tissue.  The proximal glans appeared pink.  The patient currently has indwelling Foley catheter and glans slightly tender to touch.  However, no purulent discharge was seen on compression of the glans.  Otherwise on palpation, no other deformity noticed.  Bilateral testes descended.  No palpable abnormality.  No evidence of infection in his perineal area.,EXTREMITIES:  Right AKA.,NEUROLOGIC:  Awake, alert, and oriented.  No sensory or motor deficit.,LABORATORY DATA: , I independently reviewed the lab work done on the patient.  The patient had a UA done in the ED which showed few bacteria, white blood cells 6 to 12, and a few epithelial cells which were negative.  His basic metabolic panel with creatinine of 7.2 and potassium of 5, otherwise normal.  CBC with a white blood cell count of 11.5, hemoglobin of 9.5, and INR of 1.13.,IMPRESSION: , A 67-year-old male with multiple comorbidities with penile discharge and pale-appearing glans.  It seems that the patient has had multiple catheterizations recently and has history of peripheral vascular disease.  I think it is due to chronic ischemic changes.,RECOMMENDATIONS: , Our recommendation would be:,1.  To remove the Foley catheter.,2.  Local hygiene.,3.  Local application of bacitracin ointment.,4.  Antibiotic for urinary tract infection.,5.  Follow up as needed.  Of note, it was explained to the patient that the appearance of this glans may improve or may get worsened but at this point, there is no indication to operate on him.  If increased purulent discharge, the patient was asked to call us sooner, otherwise follow up as scheduled.",
+                    "last_modified": "2020-03-29 14:43:25.573182+00:00",
+                    "annotations": [
+                        {
+                            "id": 45995,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 1125,
+                            "end": 1152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:03.108268+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45996,
+                            "user": "wish",
+                            "cui": "C0403447",
+                            "value": "chronic renal insufficiency",
+                            "start": 1570,
+                            "end": 1597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:10.087077+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45997,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 3240,
+                            "end": 3267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:19.837594+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45998,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 1179,
+                            "end": 1203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:04.534734+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45999,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "end-stage renal disease",
+                            "start": 1074,
+                            "end": 1097,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:00.206529+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46000,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3483,
+                            "end": 3506,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:27.416096+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46001,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1154,
+                            "end": 1177,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:04.223582+00:00",
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+                            "acc": 0.5659365203923152,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46002,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 1603,
+                            "end": 1624,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:10.799588+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46003,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1219,
+                            "end": 1233,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:05.967808+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46004,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1544,
+                            "end": 1558,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:08.664365+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46005,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1111,
+                            "end": 1123,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:02.260372+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46006,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1530,
+                            "end": 1542,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:06.803119+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46007,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 1764,
+                            "end": 1774,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:11.783820+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46008,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infection",
+                            "start": 2529,
+                            "end": 2538,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:14.292897+00:00",
+                            "manually_created": false,
+                            "acc": 0.5380169188171087,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46009,
+                            "user": "wish",
+                            "cui": "C2363741",
+                            "value": "infected",
+                            "start": 37,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:56.544230+00:00",
+                            "manually_created": false,
+                            "acc": 0.37332235850640794,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 46010,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1205,
+                            "end": 1213,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:05.234605+00:00",
+                            "manually_created": false,
+                            "acc": 0.6186123081557326,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46011,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1560,
+                            "end": 1568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:09.394150+00:00",
+                            "manually_created": false,
+                            "acc": 0.6562451322288061,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3268,
+                    "name": "605",
+                    "text": "SUBJECTIVE:,  The patient comes back to see me today.  She is a pleasant 77-year-old Caucasian female who had seen Dr. XYZ with right leg pain.  She has a history of prior laminectomy for spinal stenosis.  She has seen Dr. XYZ with low back pain and lumbar scoliosis post laminectomy syndrome, lumbar spinal stenosis, and clinical right L2 radiculopathy, which is symptomatic.  Dr. XYZ had performed two right L2-L3 transforaminal epidural injections, last one in March 2005.  She was subsequently seen and Dr. XYZ found most of her remaining symptoms are probably coming from her right hip.  An x-ray of the hip showed marked degenerative changes with significant progression of disease compared to 08/04/2004 study.  Dr. XYZ had performed right intraarticular hip injection on 04/07/2005.  She was last seen on 04/15/2005.  At that time, she had the hip injection that helped her briefly with her pain.  She is not sure whether or not she wants to proceed with hip replacement.  We recommend she start using a cane and had continued her on some pain medicines.,The patient comes back to see me today.  She continues to complain of significant pain in her right hip, especially with weightbearing or with movement.  She said she had made an appointment to see an orthopedic surgeon in Newton as it is closer and more convenient for her.  She is taking Ultracet or other the generic it sounds like, up to four times daily.  She states she can take this much more frequently as she still has significant pain symptoms.  She is using a cane to help her ambulate.,PAST MEDICAL HISTORY:,  Essentially unchanged from her visit of 04/15/2005.,PHYSICAL EXAMINATION:,General:  Reveals a pleasant Caucasian female.,Vital Signs:  Height is 5 feet 4 inches.  Weight is 149 pounds.  She is afebrile.,HEENT:  Benign.,Neck:  Shows functional range of movements with a negative Spurling's.,Musculoskeletal:  Examination shows some mild degenerative joint disease of both knees with grade weakness of her right hip flexors and half-grade weakness of her right hip adductors and right quadriceps, as compared to the left.  Straight leg raises are negative bilaterally.  Posterior tibials are palpable bilaterally.,Skin and Lymphatics:  Examination of the skin does not reveal any additional scars, rashes, cafe au lait spots or ulcers.  No significant lymphadenopathy noted.,Spine:  Examination shows lumbar scoliosis with surgical scar with no major tenderness.  Spinal movements are limited but functional.,Neurological:  She is alert and oriented with appropriate mood and affect.  She has normal tone and coordination.  Reflexes are 2+ and symmetrical.  Sensations are intact to pinprick.,FUNCTIONAL EXAMINATION:,  Gait has a normal stance and swing phase with no antalgic component to it.,IMPRESSION:,1.  Degenerative disk disease of the right hip, symptomatic.,2.  Low back syndrome, lumbar spinal stenosis, clinically right L2 radiculopathy, stable.,3.  Low back pain with lumbar scoliosis post laminectomy syndrome, stable.,4.  Facet and sacroiliac joint syndrome on the right, stable.,5.  Post left hip arthroplasty.,6.  Chronic pain syndrome.,RECOMMENDATIONS:,  The patient is symptomatic primarily on her right hip and is planning on seeing an orthopedic surgeon for possible right hip replacement.  In the interim, her Ultracet is not quite taking care of her pain.  I have asked her to discontinue it and we will start her on Tylenol #3, up to four times a day.  I have written a prescription for this for 120 tablets and two refills.  The patient will call for the refills when she needs them.  I will plan further follow up in six months, sooner if needed.  She voiced understanding and is in agreement with this plan.  Physical exam findings, history of present illness and recommendations were performed with and in agreement with Dr. Goel's findings.",
+                    "last_modified": "2020-03-29 14:43:25.573687+00:00",
+                    "annotations": [
+                        {
+                            "id": 46012,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "degenerative joint disease",
+                            "start": 1921,
+                            "end": 1947,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:38.872937+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46013,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 294,
+                            "end": 316,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:35.603467+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46014,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 2873,
+                            "end": 2895,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:52.727770+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46015,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2335,
+                            "end": 2350,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:42.790831+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46016,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 340,
+                            "end": 353,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:36.666512+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46017,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 2917,
+                            "end": 2930,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:05.536636+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46018,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2311,
+                            "end": 2317,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:41.156000+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3269,
+                    "name": "485",
+                    "text": "SUBJECTIVE:,  The patient comes back to see me today.  She is a pleasant 73-year-old Caucasian female who had seen Dr. XYZ with low back pain, lumbar degenerative disc disease, lumbar spondylosis, facet and sacroiliac joint syndrome, lumbar spinal stenosis primarily bilateral recess, intermittent lower extremity radiculopathy, DJD of both knees, bilateral pes anserinus bursitis, and chronic pain syndrome.  Dr. XYZ had performed right and left facet and sacroiliac joint injections, subsequent right L3 to S1 medial branch blocks and radiofrequency ablation on the right from L3 to S1.  She was subsequently seen with some mid back pain and she had right T8-T9 and T9-T10 facet injections on 10/28/2004.  She was last seen on 04/08/2005 with recurrent pain in her low back on the right.  Dr. XYZ repeated her radiofrequency ablation on the right side from L3-S1 on 05/04/2005.,The patient comes back to see me today.  She states that the radiofrequency ablation has helped her significantly there, but she still has one spot in her low back that seems to be hurting her on the right, and seems to be pointing to her right sacroiliac joint.  She is also complaining of pain in both knees.  She says that 20 years ago she had a cortisone shot in her knees, which helped her significantly.  She has not had any x-rays for quite some time.  She is taking some Lortab 7.5 mg tablets, up to four daily, which help her with her pain symptoms.  She is also taking Celebrex through Dr. S\u2019 office.,PAST MEDICAL HISTORY:,  Essentially unchanged from my visit of 04/08/2005.,PHYSICAL EXAMINATION:,General:  Reveals a pleasant Caucasian female.,Vital Signs:  Height is 5 feet 5 inches.  Weight is 183 pounds.  She is afebrile.,HEENT:  Benign.,Neck:  Shows functional range of movements with a negative Spurling's.,Musculoskeletal:  Examination shows degenerative joint disease of both knees, with medial and lateral joint line tenderness, with tenderness at both pes anserine bursa.  Straight leg raises are negative bilaterally.  Posterior tibials are palpable bilaterally.,Skin and Lymphatics:  Examination of the skin does not reveal any additional scars, rashes, cafe au lait spots or ulcers.  No significant lymphadenopathy noted.,Spine:  Examination shows decreased lumbar lordosis with tenderness that seems to be in her right sacroiliac joint.  She has no other major tenderness.  Spinal movements are limited but functional.,Neurological:  She is alert and oriented with appropriate mood and affect.  She has normal tone and coordination.  Reflexes are 2+ and symmetrical.  Sensation is intact to pinprick.,FUNCTIONAL EXAMINATION:,  Gait has a normal stance and swing phase with no antalgic component to it.,IMPRESSION:,1.  Low back syndrome with lumbar degenerative disc disease, lumbar spinal stenosis, and facet joint syndrome on the right L4-5 and L5-S1.,2.  Improved, spinal right L3-S1 radiofrequency ablation.,3.  Right sacroiliac joint sprain/strain, symptomatic.,4.  Left lumbar facet joint syndrome, stable.,6.  Right thoracic facet joint syndrome, stable.,7.  Lumbar spinal stenosis, primarily lateral recess with intermittent lower extremity radiculopathy, stable.,8.  Degenerative disc disease of both knees, symptomatic.,9.  Pes anserinus bursitis, bilaterally symptomatic.,10.  Chronic pain syndrome.,RECOMMENDATIONS:,  Dr. XYZ and I discussed with the patient her pathology.  She has some symptoms in her low back on the right side at the sacroiliac joint.  Dr. XYZ will plan having her come in and injecting her right sacroiliac joint under fluoroscopy.  She is also having pain in both knees.  We will plan on x-rays of both knees, AP and lateral, and plan on seeing her back on Monday or Friday for possible intraarticular and/or pes anserine bursa injections bilaterally.  I explained the rationale for each of these injections, possible complications and she wishes to proceed.  In the interim, she can continue on Lortab and Celebrex.  We will plan for the follow up following these interventions, sooner if needed.  She voiced understanding and agreement.  Physical exam findings, history of present illness, and recommendations were performed with and in agreement with Dr. Goel's findings.",
+                    "last_modified": "2020-03-29 14:43:25.574205+00:00",
+                    "annotations": [
+                        {
+                            "id": 46019,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "degenerative joint disease",
+                            "start": 1840,
+                            "end": 1866,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:22.209249+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46020,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "degenerative disc disease",
+                            "start": 150,
+                            "end": 175,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:16.633085+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46021,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "degenerative disc disease",
+                            "start": 2753,
+                            "end": 2778,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:33.526068+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46022,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "Degenerative disc disease",
+                            "start": 3180,
+                            "end": 3205,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:41.578076+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46023,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 234,
+                            "end": 256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:18.105249+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46024,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 2780,
+                            "end": 2802,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:36.595481+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46025,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "Lumbar spinal stenosis",
+                            "start": 3070,
+                            "end": 3092,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:37.341039+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46026,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2203,
+                            "end": 2218,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:29.294663+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46027,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 314,
+                            "end": 327,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:19.926637+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46028,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 3153,
+                            "end": 3166,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:39.545144+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46029,
+                            "user": "wish",
+                            "cui": "C0006444",
+                            "value": "bursitis",
+                            "start": 372,
+                            "end": 380,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:21.147103+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46030,
+                            "user": "wish",
+                            "cui": "C0024003",
+                            "value": "lordosis",
+                            "start": 2269,
+                            "end": 2277,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:31.985917+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46031,
+                            "user": "wish",
+                            "cui": "C0006444",
+                            "value": "bursitis",
+                            "start": 3252,
+                            "end": 3260,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:42.320487+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46032,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2179,
+                            "end": 2185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:24.482353+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3270,
+                    "name": "1694",
+                    "text": "REASON FOR CONSULT:, Renal insufficiency.,HISTORY OF PRESENT ILLNESS:, A 48-year-old African-American male with a history of coronary artery disease, COPD, congestive heart failure with EF of 20%-25%, hypertension, renal insufficiency, and recurrent episodes of hypertensive emergency, admitted secondary to shortness of breath and productive cough. The patient denies any chest pain, palpitations, syncope, or fever. Denied any urinary disturbances, difficulty, burning micturition, hematuria, or back pain. Nephrology is consulted regarding renal insufficiency.,REVIEW OF SYSTEMS:, Reviewed entirely and negative except for HPI.,PAST MEDICAL HISTORY:, Hypertension, congestive heart failure with ejection fraction of 20%-25% in December 2005, COPD, mild diffuse coronary artery disease, and renal insufficiency.,ALLERGIES:, NO KNOWN DRUG ALLERGIES.,MEDICATIONS:, Clonidine 0.3 p.o. q.8, aspirin 325 daily, hydralazine 100 q.8, Lipitor 20 at bedtime, Toprol XL 100 daily.,FAMILY HISTORY:, Noncontributory.,SOCIAL HISTORY:, The patient denies any alcohol, IV drug abuse, tobacco, or any recreational drugs.,PHYSICAL EXAMINATION:,VITAL SIGNS: Blood pressure 180/110. Temperature 98.1. Pulse rate 60. Respiratory rate 23. O2 sat 95% on room air.,GENERAL: A 48-year-old African-American male in no acute distress.,HEENT: Pupils equal, round, and reactive to light and accommodation. No pallor or icterus.,NECK: No JVD, bruit, or lymphadenopathy.,HEART: S1 and S2, regular rate and rhythm, no murmurs, rubs, or gallops.,LUNGS: Clear. No wheezes or crackles.,ABDOMEN: Soft, nontender, nondistended, no organomegaly, bowel sounds present.,EXTREMITIES: No cyanosis, clubbing, or edema.,CNS: Exam is nonfocal.,LABS:, WBC 7, H and H 13 and 40, platelets 330, PT 12, PTT 26, CO2 20, BUN 27, creatinine 3.1, cholesterol 174, BNP 973, troponin 0.18. Previous creatinine levels were 2.7 in December. Urine drug screen positive for cocaine.,ASSESSMENT:, A 48-year-old African-American male with a history of coronary artery disease, congestive heart failure, COPD, hypertension, and renal insufficiency with:,1. Hypertensive emergency.,2. Acute on chronic renal failure.,3. Urine drug screen positive.,4. Question CHF versus COPD exacerbation.,PLAN:,1. Most likely, renal insufficiency is a chronic problem. Hypertensive etiology worsened by the patient's chronic cocaine abuse.,2. Control blood pressure with medications as indicated. Hypertensive emergency most likely related to cocaine drug abuse.,Thank you for this consult. We will continue to follow the patient with you.",
+                    "last_modified": "2020-03-29 14:43:25.574714+00:00",
+                    "annotations": [
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+                            ]
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+                        {
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+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46061,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 150,
+                            "end": 154,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:56.468797+00:00",
+                            "manually_created": false,
+                            "acc": 0.4945630420771805,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46062,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 745,
+                            "end": 749,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:26.312057+00:00",
+                            "manually_created": false,
+                            "acc": 0.3808427481106057,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46063,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2045,
+                            "end": 2049,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:45.200384+00:00",
+                            "manually_created": false,
+                            "acc": 0.4834381047688081,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46064,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2211,
+                            "end": 2215,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:49.467670+00:00",
+                            "manually_created": false,
+                            "acc": 0.47003333442157275,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46065,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "CHF",
+                            "start": 2200,
+                            "end": 2203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:48.742279+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3271,
+                    "name": "1577",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  This is a 77-year-old male, who presents with gross hematuria that started this morning.  The patient is a difficult historian, does have a speech impediment, slow to answer questions, but daughter was able to answer lot of questions too.  He is complaining of no other pain.  He denies any abdominal pain.  Denies any bleeding anywhere else.  Denies any bruising.  He had an episode similar to this a year ago where it began the same with hematuria.  He was discharged after a workup in the hospital, in the emergency room, with Levaquin.  Three days later, he returned with a very large hematoma to his left neck and a coagulopathy with significant bleeding.  His H and H was down in the 6 level.  He received blood transfusions.  He was diagnosed with a malignancy, coagulopathy, and sounds like was in critical condition.  Family actually states that they were told that he was unlikely to live through that event, but he did.  Since then, he has had no bleeding.  The patient has had no fever.  No cough.  No chest pain or shortness of breath.  No bleeding gums.  No blurred vision.  No headache.  No recent falls or trauma.  He has had no nausea or vomiting.  No diarrhea.  No blood in the stool or melena.  No leg or calf pain.  No joint pain.  No rashes.  No swollen glands.  He has no numbness, weakness or tingling to his extremities.  No acute anxiety or depression.,PAST MEDICAL HISTORY: , Has prostate cancer.,MEDICATION: , He is receiving Lupron injection by Dr. Y. The only other medication that he takes is Tramadol.,SOCIAL HISTORY: , He does not smoke or drink.,PHYSICAL EXAMINATION:,Vital Signs:  Are all reviewed on triage.,General:  He is alert.  Answers slowly with a speech impediment, but answers appropriately.,HEENT:  Pupils equal, round, and reactive to light.  Normal extraocular muscles.  Nonicteric sclerae.  Conjunctivae are not pale.  His oropharynx is clear.  His mucous membranes are moist.,Heart:  Regular rate and rhythm, with no murmurs.,Lungs:  Clear.,Abdomen:  Soft, nontender, nondistended.  Normal bowel sounds.  No organomegaly or mass.,Extremities:  No calf tenderness, erythema or warmth.  He has no bruises noted.,Neurological:  Cranial nerves II through XII are intact.  He has 5/5 strength throughout.  ,GU:  Normal.,LABORATORY DATA:  ,The patient did on urinalysis have few red blood cells.  His urine was also grossly red, although no blood clots or gross blood was noted.  It was more of a red fluid.  He had a mild decrease in H and H at 12.1 and 34.6.  His white count was normal at 7.2.  His PT was elevated at 15.9.  PTT elevated at 36.4.  INR is 1.4.  His comprehensive metabolic profile is normal except for BUN of 19.,CONDITION: , The patient is stable at this time, although because of the history of the same happening and the patient beginning in the same fashion his history of coagulopathy, the patient is discussed with Dr. X and he is admitted for orders.  Also we will consult Dr. Y, see orders for further.",
+                    "last_modified": "2020-03-29 14:43:25.575246+00:00",
+                    "annotations": [
+                        {
+                            "id": 46066,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 651,
+                            "end": 663,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:13.712010+00:00",
+                            "manually_created": false,
+                            "acc": 0.3838111188129867,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46067,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 799,
+                            "end": 811,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:15.543257+00:00",
+                            "manually_created": false,
+                            "acc": 0.2145861484016487,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46068,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 2868,
+                            "end": 2880,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:21.843973+00:00",
+                            "manually_created": false,
+                            "acc": 0.33288367305576044,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46069,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 1396,
+                            "end": 1406,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:17.197406+00:00",
+                            "manually_created": false,
+                            "acc": 0.4542327638367848,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46070,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 82,
+                            "end": 91,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:10.208275+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46071,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 470,
+                            "end": 479,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:12.133207+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46072,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2142,
+                            "end": 2150,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:19.627012+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                }
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/medcat-v2/tests/resources/vocab_meta.zip b/medcat-v2/tests/resources/vocab_meta.zip
new file mode 100644
index 000000000..1c3182bd3
Binary files /dev/null and b/medcat-v2/tests/resources/vocab_meta.zip differ
diff --git a/medcat-v2/tests/test_cat.py b/medcat-v2/tests/test_cat.py
index 5c4de7cd5..ff518f21a 100644
--- a/medcat-v2/tests/test_cat.py
+++ b/medcat-v2/tests/test_cat.py
@@ -2,7 +2,7 @@
 import unittest.mock
 import pandas as pd
 import json
-from typing import Optional
+from typing import Optional, Any
 from collections import Counter
 
 from medcat import cat
@@ -21,6 +21,8 @@
 
 import unittest
 import tempfile
+import pickle
+import shutil
 
 from . import EXAMPLE_MODEL_PACK_ZIP
 from . import V1_MODEL_PACK_PATH, UNPACKED_V1_MODEL_PACK_PATH
@@ -29,18 +31,19 @@
 
 orig_init = cat.CAT.__init__
 
+expected_model_pack_path = EXAMPLE_MODEL_PACK_ZIP.replace(".zip", "")
+
 
 class ModelLoadTests(unittest.TestCase):
 
     def assert_has_model_name(self, func):
-        expected_model_packl_name = EXAMPLE_MODEL_PACK_ZIP.replace(".zip", "")
 
         def wrapper(*args, **kwargs):
             if 'model_load_path' in kwargs:
                 self.assertEqual(kwargs['model_load_path'],
-                                 expected_model_packl_name)
+                                 expected_model_pack_path)
             else:
-                self.assertEqual(args[-1], expected_model_packl_name)
+                self.assertEqual(args[-1], expected_model_pack_path)
             return func(*args, **kwargs)
         return wrapper
 
@@ -59,6 +62,53 @@ def test_can_load_CDB_from_model_pack(self):
         cdb = cat.CAT.load_cdb(EXAMPLE_MODEL_PACK_ZIP)
         self.assertIsInstance(cdb, CDB)
 
+    def test_can_load_model_card_off_disk_from_zip_to_json(self):
+        out = cat.CAT.load_model_card_off_disk(
+            EXAMPLE_MODEL_PACK_ZIP, as_dict=False)
+        self.assertIsInstance(out, str)
+
+    def test_can_load_model_card_off_disk_from_folder_to_dict(self):
+        # NOTE: the model gets unpacked automatically due to __init__.py
+        out = cat.CAT.load_model_card_off_disk(
+            expected_model_pack_path, as_dict=True)
+        self.assertIsInstance(out, dict)
+
+    def test_can_load_model_ard_without_unzipping(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            zip_path = os.path.join(temp_dir, "model_pazk.zip")
+            # copy to another location to avoid a previoulsy unpacked model
+            shutil.copy(EXAMPLE_MODEL_PACK_ZIP, zip_path)
+            out = cat.CAT.load_model_card_off_disk(
+                expected_model_pack_path, avoid_unpack=True)
+            # make sure the folder doesn't exist
+            self.assertFalse(os.path.exists(zip_path.removesuffix(".zip")))
+            self.assertIsInstance(out, str)
+
+
+class ModelLoadIWithHiddenFilesTests(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls._temp_dir = tempfile.TemporaryDirectory()
+        cls.model_path = os.path.join(cls._temp_dir.name, "model")
+        shutil.copytree(expected_model_pack_path, cls.model_path)
+        # add file
+        file_path = os.path.join(cls.model_path, '.some_file.txt')
+        with open(file_path, 'w') as f:
+            f.write("Nothing")
+        # add folder
+        folder_path = os.path.join(cls.model_path, '.some_folder')
+        os.mkdir(folder_path)
+
+    @classmethod
+    def tearDownClass(cls):
+        cls._temp_dir.cleanup()
+
+    def test_can_load_with_add_hidden_files_and_folders(self):
+        # try load
+        inst = cat.CAT.load_model_pack(self.model_path)
+        self.assertIsInstance(inst, cat.CAT)
+
 
 class TrainedModelTests(unittest.TestCase):
     TRAINED_MODEL_PATH = EXAMPLE_MODEL_PACK_ZIP
@@ -67,10 +117,94 @@ class TrainedModelTests(unittest.TestCase):
     def setUpClass(cls):
         cls.model = cat.CAT.load_model_pack(cls.TRAINED_MODEL_PATH)
         if cls.model.config.components.linking.train:
-            print("TRAINING WAS ENABLE! NEED TO DISABLE")
             cls.model.config.components.linking.train = False
 
 
+class ConfigMergeTests(unittest.TestCase):
+    spacy_model_name = 'en_core_web_lg'
+    model_dict = {
+        "general": {'nlp': {"modelname": spacy_model_name}}
+    }
+
+    def test_can_merge_config(self):
+        model = cat.CAT.load_model_pack(
+            EXAMPLE_MODEL_PACK_ZIP, config_dict=self.model_dict)
+        self.assertEqual(
+            model.config.general.nlp.modelname, self.spacy_model_name)
+
+
+class OntologiesMapTests(TrainedModelTests):
+
+    def test_does_not_have_auto(self):
+        self.assertNotEqual(self.model.config.general.map_to_other_ontologies,
+                            "auto")
+
+    def test_is_empty(self):
+        self.assertFalse(self.model.config.general.map_to_other_ontologies)
+
+
+class OntologiesMapWithOntologiesTests(TrainedModelTests):
+    MY_ONT_NAME = "My_Ontology"
+    EXP_GET = [MY_ONT_NAME]
+    MY_ONT_MAPPING = {
+        # mapping doens't matter here, really
+        "ABC": "BBC"
+    }
+
+    @classmethod
+    def reset_mappings(cls):
+        # set to auto
+        cls.model.config.general.map_to_other_ontologies = "auto"
+        # redo process
+        cls.model._set_and_get_mapped_ontologies()
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        # add "mapping"
+        cls.model.cdb.addl_info[f"cui2{cls.MY_ONT_NAME}"] = cls.MY_ONT_MAPPING
+        cls.reset_mappings()
+
+    def test_has_correct_results(self):
+        got = sorted(self.model.config.general.map_to_other_ontologies)
+        self.assertEqual(len(got), len(self.EXP_GET))
+        self.assertEqual(got, self.EXP_GET)
+
+
+class OntologiesMapWithOntologiesAndNoIgnoresTests(
+        OntologiesMapWithOntologiesTests):
+    EXTRA_ONTS = ["original_names"]
+
+    @classmethod
+    def reset_mappings(cls):
+        # set to auto
+        cls.model.config.general.map_to_other_ontologies = "auto"
+        # redo process
+        cls.model._set_and_get_mapped_ontologies(ignore_set=set())
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        # I need to redefine for specific class
+        # instead of changing instance in base class
+        cls.EXP_GET = OntologiesMapWithOntologiesTests.EXP_GET.copy()
+        cls.EXP_GET.extend(cls.EXTRA_ONTS)
+        cls.EXP_GET.sort()
+        cls.reset_mappings()
+
+
+class OntologiesMapWithOntologiesAndAllowEmpty(
+        OntologiesMapWithOntologiesAndNoIgnoresTests):
+    EXTRA_ONTS = ["icd10", "opcs4"]
+
+    @classmethod
+    def reset_mappings(cls):
+        # set to auto
+        cls.model.config.general.map_to_other_ontologies = "auto"
+        # redo process
+        cls.model._set_and_get_mapped_ontologies(ignore_empty=False)
+
+
 class InferenceFromLoadedTests(TrainedModelTests):
 
     def test_can_load_model(self):
@@ -97,6 +231,39 @@ def test_entities_in_correct_order(self):
                 cur_start = ent.base.start_char_index
 
 
+class InferenceIntoOntologyTests(TrainedModelTests):
+    ont_name = "FAKE_ONT"
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        # create mapping
+        cls.ont_map = {
+            cui: [f"{cls.ont_name}:{cui}"]
+            for cui in cls.model.cdb.cui2info
+        }
+        # add to addl_info
+        cls.model.cdb.addl_info[f"cui2{cls.ont_name}"] = cls.ont_map
+        # ask to be mapped
+        cls.model.config.general.map_to_other_ontologies.append(cls.ont_name)
+
+    def assert_has_mapping(self, ent: dict):
+        # has value
+        self.assertIn(self.ont_name, ent)
+        val = ent[self.ont_name]
+        # 1 value
+        self.assertEqual(len(val), 1)
+        # value in our map
+        self.assertIn(val, self.ont_map.values())
+
+    def test_gets_mappings(self):
+        ents = self.model.get_entities(
+            ConvertedFunctionalityTests.TEXT)['entities']
+        for nr, ent in enumerate(ents.values()):
+            with self.subTest(f"{nr}"):
+                self.assert_has_mapping(ent)
+
+
 class CATIncludingTests(unittest.TestCase):
     TOKENIZING_PROVIDER = 'regex'
     EXPECT_TRAIN = {}
@@ -298,6 +465,22 @@ def test_can_load_meta_cat(self):
         _, addon = addons[0]
         self.assertIsInstance(addon, MetaCATAddon)
 
+    def test_can_load_meta_cat_with_addon_cnf(self, seed: int = -41):
+        mc: MetaCATAddon = cat.CAT.load_addons(
+            self.mpp, addon_config_dict={
+                "meta_cat.Status": {
+                    "general": {"seed": seed}}})[0][1]
+        self.assertEqual(mc.config.general.seed, seed)
+
+    def test_can_merge_cnf_upon_load(self, use_seed: int = -4):
+        loaded = cat.CAT.load_model_pack(
+            self.mpp,
+            addon_config_dict={
+                "meta_cat.Status": {"general": {"seed": use_seed}}
+            })
+        addon: MetaCATAddon = list(loaded._pipeline.iter_addons())[0]
+        self.assertEqual(addon.config.general.seed, use_seed)
+
 
 class CatWithChangesMetaCATTests(CatWithMetaCATTests):
     EXPECTED_HASH = "0b22401059a08380"
@@ -416,8 +599,9 @@ def test_can_get_multiple_entities(self):
         texts = [
             "The fittest most fit of chronic kidney failure",
             "The dog is sitting outside the house."
-        ]
-        ents = list(self.cat.get_entities_multi_texts(texts))
+        ]*10
+        ents = list(self.cat.get_entities_multi_texts(
+            texts, batch_size=2, batch_size_chars=-1))
         self.assert_ents(ents, texts)
 
     def assert_ents(self, ents: list[tuple], texts: list[str]):
@@ -437,10 +621,172 @@ def test_can_get_multiprocess(self):
         texts = [
             "The fittest most fit of chronic kidney failure",
             "The dog is sitting outside the house."
-        ]
-        ents = list(self.cat.get_entities_multi_texts(texts, n_process=3))
+        ]*10
+        ents = list(self.cat.get_entities_multi_texts(
+            texts, n_process=3, batch_size=2, batch_size_chars=-1))
         self.assert_ents(ents, texts)
 
+    def _do_mp_run_with_save(
+            self, save_to: str,
+            chars_per_batch: int = 165,
+            batches_per_save: int = 5,
+            exp_parts: int = 8,
+            n_process: int = 1,
+            ) -> tuple[list[str], list[tuple], dict[str, Any], int]:
+        in_data = [
+            f"The patient presented with {name} and "
+            f"did not have {negname}"
+            for name in self.cdb.name2info
+            for negname in self.cdb.name2info if name != negname
+        ]
+        out_data = self.cat.get_entities_multi_texts(
+            in_data,
+            save_dir_path=save_to,
+            batch_size_chars=chars_per_batch,
+            batches_per_save=batches_per_save,
+            n_process=n_process,
+            )
+        out_data = list(out_data)
+        out_dict_all = {
+            key: cdata for key, cdata in out_data
+        }
+        return in_data, out_data, out_dict_all, exp_parts
+
+    def assert_mp_runs_with_save_and_load(
+            self, save_to: str,
+            chars_per_batch: int = 165,
+            batches_per_save: int = 5,
+            exp_parts: int = 8,
+            n_process: int = 1,
+            ) -> tuple[
+                tuple[list[str], list[tuple], dict[str, Any], int],
+                tuple[tuple[list[str], int], list[str], int],
+            ]:
+        in_data, out_data, out_dict_all, exp_parts = (
+            self._do_mp_run_with_save(
+                save_to, chars_per_batch, batches_per_save, exp_parts,
+                n_process=n_process))
+        anns_file = os.path.join(save_to, 'annotated_ids.pickle')
+        self.assertTrue(os.path.exists(anns_file))
+        with open(anns_file, 'rb') as f:
+            loaded_data = pickle.load(f)
+        self.assertEqual(len(loaded_data), 2)
+        ids, last_part_num = loaded_data
+        return (in_data, out_data, out_dict_all, exp_parts), (
+            loaded_data, ids, last_part_num)
+
+    def assert_mp_runs_save_load_gather(
+            self, save_to: str,
+            chars_per_batch: int = 165,
+            batches_per_save: int = 5,
+            exp_parts: int = 8,
+            n_process: int = 1,
+            ) -> tuple[
+                tuple[list[str], list[tuple], dict[str, Any], int],
+                tuple[tuple[list[str], int], list[str], int],
+                dict[str, Any]
+            ]:
+        (in_data, out_data, out_dict_all, exp_parts), (
+            loaded_data, ids, num_last_part
+        ) = self.assert_mp_runs_with_save_and_load(
+            save_to, chars_per_batch, batches_per_save, exp_parts,
+            n_process=n_process)
+        all_loaded_output = {}
+        for num in range(num_last_part + 1):
+            with self.subTest(f"Part {num}"):
+                part_name = f"part_{num}.pickle"
+                part_path = os.path.join(save_to, part_name)
+                self.assertTrue(os.path.exists(part_path))
+                with open(part_path, 'rb') as f:
+                    part_data = pickle.load(f)
+                self.assertIsInstance(part_data, dict)
+                self.assertTrue(
+                    all(key not in all_loaded_output for key in part_data))
+                all_loaded_output.update(part_data)
+        return (in_data, out_data, out_dict_all, exp_parts), (
+            loaded_data, ids, num_last_part), all_loaded_output
+
+    def test_multiprocessing_can_save_indices(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            (in_data, out_data,
+             out_dict_all, exp_parts), (
+                 loaded_data, ids, num_last_part
+             ) = self.assert_mp_runs_with_save_and_load(temp_dir)
+            self.assertEqual(len(out_data), len(in_data))
+            self.assertEqual(len(in_data), len(ids))
+
+    def test_mp_saves_all_parts(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            (in_data, out_data,
+             out_dict_all, exp_parts), (
+                 loaded_data, ids, num_last_part
+             ), all_loaded_output = self.assert_mp_runs_save_load_gather(
+                 temp_dir)
+            # NOTE: the number of parts is 1 greater
+            self.assertEqual(num_last_part + 1, exp_parts)
+
+    def assert_correct_loaded_output(
+            self,
+            in_data: list[str],
+            out_dict_all: dict[str, Any],
+            all_loaded_output: dict[str, Any]):
+        self.assertEqual(len(all_loaded_output), len(in_data))
+        self.assertEqual(all_loaded_output.keys(), out_dict_all.keys())
+        self.assertEqual(all_loaded_output, out_dict_all)
+
+    def test_mp_saves_correct_data(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            (in_data, out_data,
+             out_dict_all, exp_parts), (
+                 loaded_data, ids, num_last_part
+             ), all_loaded_output = self.assert_mp_runs_save_load_gather(
+                 temp_dir)
+            self.assert_correct_loaded_output(
+                in_data, out_dict_all, all_loaded_output)
+
+    def test_mp_saves_correct_data_with_2_proc(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            (in_data, out_data,
+             out_dict_all, exp_parts), (
+                 loaded_data, ids, num_last_part
+             ), all_loaded_output = self.assert_mp_runs_save_load_gather(
+                 temp_dir, n_process=2)
+            self.assert_correct_loaded_output(
+                in_data, out_dict_all, all_loaded_output)
+
+    def test_mp_saves_correct_data_with_3_proc(self):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            (in_data, out_data,
+             out_dict_all, exp_parts), (
+                 loaded_data, ids, num_last_part
+             ), all_loaded_output = self.assert_mp_runs_save_load_gather(
+                 temp_dir, n_process=3)
+            self.assert_correct_loaded_output(
+                in_data, out_dict_all, all_loaded_output)
+
+    def test_get_entities_multi_texts_with_save_dir_lazy(self):
+        texts = ["text1", "text2"]
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            out = self.cat.get_entities_multi_texts(
+                texts,
+                save_dir_path=tmp_dir)
+            # nothing before manual iter
+            self.assertFalse(os.listdir(tmp_dir))
+            out_list = list(out)
+            # something was saved
+            self.assertTrue(os.listdir(tmp_dir))
+            # and something was yielded
+            self.assertEqual(len(out_list), len(texts))
+
+    def test_save_entities_multi_texts(self):
+        texts = ["text1", "text2"]
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            self.cat.save_entities_multi_texts(
+                texts,
+                save_dir_path=tmp_dir)
+            # stuff was already saved
+            self.assertTrue(os.listdir(tmp_dir))
+
 
 class CATWithDocAddonTests(CATIncludingTests):
     EXAMPLE_TEXT = "Example text to tokenize"
diff --git a/medcat-v2/tests/tokenizing/regex_impl/test_tokenizer.py b/medcat-v2/tests/tokenizing/regex_impl/test_tokenizer.py
index e30f70821..0d5507826 100644
--- a/medcat-v2/tests/tokenizing/regex_impl/test_tokenizer.py
+++ b/medcat-v2/tests/tokenizing/regex_impl/test_tokenizer.py
@@ -8,7 +8,8 @@ class TokenizerTests(TestCase):
     TEXT_SIMPLE = ("This is - some simple test and 32 numbers 2-tokenize! "
                    "And then some!")
     EXP_TOKENS = ["This", "is", "-", "some", "simple", "test", "and", "32",
-                  "numbers", "2", "-tokenize!", "And", "then", "some", "!"]
+                  "numbers", "2", "-", "tokenize", "!", "And", "then", "some",
+                  "!"]
     BIG_NUMBER = 10_000_000
 
     @classmethod
diff --git a/medcat-v2/tests/utils/legacy/test_convert_cdb.py b/medcat-v2/tests/utils/legacy/test_convert_cdb.py
index 13bc3d38e..ca7873f97 100644
--- a/medcat-v2/tests/utils/legacy/test_convert_cdb.py
+++ b/medcat-v2/tests/utils/legacy/test_convert_cdb.py
@@ -32,6 +32,12 @@ def test_all_cui_names_in_names(self):
                 with self.subTest(f"{cui}: {name}"):
                     self.assertIn(name, self.cdb.name2info)
 
+    def test_all_cuis_have_original_names(self):
+        for cui, ci in self.cdb.cui2info.items():
+            with self.subTest(cui):
+                print(cui, ":", ci["original_names"])
+                self.assertTrue(ci["original_names"])
+
     def test_all_name_cuis_in_per_cui_status(self):
         for name, nameinfo in self.cdb.name2info.items():
             for cui in nameinfo['per_cui_status']:
diff --git a/medcat-v2/tests/utils/legacy/test_fixes.py b/medcat-v2/tests/utils/legacy/test_fixes.py
new file mode 100644
index 000000000..0d8bdc419
--- /dev/null
+++ b/medcat-v2/tests/utils/legacy/test_fixes.py
@@ -0,0 +1,63 @@
+import os
+
+from medcat.cdb import CDB
+from medcat.utils.legacy import fixes
+from medcat.utils.cdb_state import captured_state_cdb
+
+import unittest
+
+from ... import UNPACKED_EXAMPLE_MODEL_PACK_PATH
+
+
+CONVERTED_CDB_PATH = os.path.join(
+    UNPACKED_EXAMPLE_MODEL_PACK_PATH, "cdb")
+
+
+class TestCUI2OriginalNamesFix(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.converted_cdb = CDB.load(CONVERTED_CDB_PATH,
+                                     perform_fixes=False)
+
+    def test_converted_model_does_not_have_orig_names(self):
+        for ci in self.converted_cdb.cui2info.values():
+            with self.subTest(ci["cui"]):
+                self.assertFalse(ci["original_names"])
+
+    def test_model_has_orig_names_after_fix(self):
+        # to make sure this is agnostic to the order
+        with captured_state_cdb(self.converted_cdb):
+            changed = fixes.fix_cui2original_names_if_needed(
+                self.converted_cdb)
+            self.assertTrue(changed)
+            # has not cui2original_names
+            self.assertNotIn("cui2original_names",
+                             self.converted_cdb.addl_info)
+            for ci in self.converted_cdb.cui2info.values():
+                with self.subTest(ci["cui"]):
+                    self.assertTrue(ci["original_names"])
+
+    def test_will_not_fix_twice(self):
+        with captured_state_cdb(self.converted_cdb):
+            fixes.fix_cui2original_names_if_needed(
+                self.converted_cdb)
+            changed_twice = fixes.fix_cui2original_names_if_needed(
+                self.converted_cdb)
+            self.assertFalse(changed_twice)
+
+
+class TestCUI2OriginalNamesFixAuto(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.converted_cdb = CDB.load(CONVERTED_CDB_PATH,
+                                     perform_fixes=True)
+
+    def test_cui2orig_names_fixed_automatically(self):
+        for ci in self.converted_cdb.cui2info.values():
+            with self.subTest(ci["cui"]):
+                self.assertTrue(ci["original_names"])
+
+    def test_addl_info_has_no_cui2original_names(self):
+        self.assertNotIn("cui2original_names", self.converted_cdb.addl_info)
diff --git a/medcat-v2/tests/utils/ner/test_deid.py b/medcat-v2/tests/utils/ner/test_deid.py
index cc5a3e968..df684d9de 100644
--- a/medcat-v2/tests/utils/ner/test_deid.py
+++ b/medcat-v2/tests/utils/ner/test_deid.py
@@ -16,7 +16,6 @@
 import shutil
 
 import unittest
-# import timeout_decorator
 
 FILE_DIR = os.path.dirname(os.path.realpath(__file__))
 
@@ -31,10 +30,16 @@
 TEST_DATA = os.path.join(FILE_DIR, "..", "..",
                          "resources", "deid_test_data.json")
 
+USE_CACHE_TEST_MODEL = False  # Choose True for local dev to skip train/test every run
+
 cnf = Config()
 cnf.general.nlp.provider = 'spacy'
 
 
+def is_macos_on_ci() -> bool:
+    return os.getenv("RUNNER_OS", "None").lower() != "macos"
+
+
 def _get_def_cdb():
     return CDB(config=cnf)
 
@@ -85,6 +90,16 @@ def _create_model() -> deid.DeIdModel:
 
 
 def _train_model_once() -> tuple[tuple[Any, Any, Any], deid.DeIdModel]:
+    if USE_CACHE_TEST_MODEL:
+        print("Using cached model for local repeats instead of create/train each time")
+        model_path = "tmp/deid_test_model.zip"
+        if not os.path.exists(model_path):
+            model = _create_model()
+            retval = model.train(TRAIN_DATA)
+            model.cat.save_model_pack("tmp", pack_name="deid_test_model",  make_archive=True)
+        model = deid.DeIdModel.load_model_pack(model_path)
+        return retval, model
+
     model = _create_model()
     retval = model.train(TRAIN_DATA)
     # mpp = 'temp/deid_multiprocess/dumps/temp_model_save'
@@ -101,13 +116,16 @@ def _train_model_once() -> tuple[tuple[Any, Any, Any], deid.DeIdModel]:
     return retval, model
 
 
-_TRAINED_MODEL_AND_INFO = _train_model_once()
+if is_macos_on_ci():
+    _TRAINED_MODEL_AND_INFO = _train_model_once()
 
 
 def train_model_once() -> tuple[tuple[Any, Any, Any], deid.DeIdModel]:
     return _TRAINED_MODEL_AND_INFO
 
 
+@unittest.skipIf(not is_macos_on_ci(),
+                 "MacOS on workflow doesn't have enough memory")
 class DeIDModelTests(unittest.TestCase):
     save_folder = os.path.join("results", "final_model")
 
@@ -160,32 +178,29 @@ def test_add_new_concepts(self):
 '''  # noqa
 
 
+@unittest.skipIf(not is_macos_on_ci(),
+                 "MacOS on workflow doesn't have enough memory")
 class DeIDModelWorks(unittest.TestCase):
     save_folder = os.path.join("results", "final_model")
 
     @classmethod
     def setUpClass(cls) -> None:
         cls.deid_model = train_model_once()[1]
+        # import torch
+        # torch.set_num_threads(1)
 
     def tearDown(self):
         if os.path.exists(self.save_folder):
             shutil.rmtree(self.save_folder)
 
-    def test_model_works_deid_text(self):
-        anon_text = self.deid_model.deid_text(input_text)
+    def assert_deid_annotations(self, anon_text: str):
         self.assertIn("[DOCTOR]", anon_text)
         self.assertNotIn("M. Sully", anon_text)
         self.assertIn("[HOSPITAL]", anon_text)
         # self.assertNotIn("Dublin", anon_text)
         self.assertNotIn("7 Eccles Street", anon_text)
 
-    def test_model_works_dunder_call(self):
-        anon_doc = self.deid_model(input_text)
-        self.assertIsInstance(anon_doc, runtime_checkable(MutableDocument))
-        self.assertTrue(anon_doc.ner_ents)
-
-    def test_model_works_deid_text_redact(self):
-        anon_text = self.deid_model.deid_text(input_text, redact=True)
+    def assert_deid_redact(self, anon_text: str):
         self.assertIn("****", anon_text)
         self.assertNotIn("[DOCTOR]", anon_text)
         self.assertNotIn("M. Sully", anon_text)
@@ -193,58 +208,60 @@ def test_model_works_deid_text_redact(self):
         # self.assertNotIn("Dublin", anon_text)
         self.assertNotIn("7 Eccles Street", anon_text)
 
+    def test_model_works_deid_text(self):
+        anon_text = self.deid_model.deid_text(input_text)
+        self.assert_deid_annotations(anon_text)
 
-# class DeIDModelMultiprocessingWorks(unittest.TestCase):
-#     processes = 2
-
-#     @classmethod
-#     def setUpClass(cls) -> None:
-#         Span.set_extension('link_candidates', default=None, force=True)
-#         _add_model(cls)
-#         cls.deid_model = train_model_once(cls.deid_model)[1]
-#         with open(TEST_DATA) as f:
-#             raw_data = json.load(f)
-#         cls.data = []
-#         for project in raw_data['projects']:
-#             for doc in project['documents']:
-#                 cls.data.append(
-#                     (f"{project['name']}_{doc['name']}", doc['text']))
-#         # NOTE: Comment and subsequent code
-#         #       copied from CAT.multiprocessing_batch_char_size
-#         #       (lines 1234 - 1237)
-#         # Hack for torch using multithreading, which is not good if not
-#         # separate_nn_components, need for CPU runs only
-#         import torch
-#         torch.set_num_threads(1)
-
-#     def assertTextHasBeenDeIded(self, text: str, redacted: bool):
-#         if not redacted:
-#             for cui in self.deid_model.cdb.cui2names:
-#                 cui_name = self.deid_model.cdb.get_name(cui)
-#                 if cui_name in text:
-#                     # all good
-#                     return
-#         else:
-#             # if redacted, only check once...
-#             if "******" in text:
-#                 # all good
-#                 return
-#         raise AssertionError("None of the CUIs found")
-
-    # # @timeout_decorator.timeout(3 * 60)  # 3 minutes max
-    # def test_model_can_multiprocess_no_redact(self):
-    #     processed = self.deid_model.deid_multi_texts(
-    #         self.data, n_process=self.processes)
-    #     self.assertEqual(len(processed), 5)
-    #     for tid, new_text in enumerate(processed):
-    #         with self.subTest(str(tid)):
-    #             self.assertTextHasBeenDeIded(new_text, redacted=False)
-
-    # # @timeout_decorator.timeout(3 * 60)  # 3 minutes max
-    # def test_model_can_multiprocess_redact(self):
-    #     processed = self.deid_model.deid_multi_texts(
-    #         self.data, n_process=self.processes, redact=True)
-    #     self.assertEqual(len(processed), 5)
-    #     for tid, new_text in enumerate(processed):
-    #         with self.subTest(str(tid)):
-    #             self.assertTextHasBeenDeIded(new_text, redacted=True)
+    def test_model_works_dunder_call(self):
+        anon_doc = self.deid_model(input_text)
+        self.assertIsInstance(anon_doc, runtime_checkable(MutableDocument))
+        self.assertTrue(anon_doc.ner_ents)
+
+    def test_model_works_deid_text_redact(self):
+        anon_text = self.deid_model.deid_text(input_text, redact=True)
+        self.assert_deid_redact(anon_text)
+
+    def test_model_works_deid_multi_text_single_threaded(self):
+        processed = self.deid_model.deid_multi_texts([input_text, input_text],
+                                                     n_process=1)
+        self.assertEqual(len(processed), 2)
+        for anon_text in processed:
+            self.assert_deid_annotations(anon_text)
+
+    def test_model_works_deid_multi_text_single_threaded_redact(self):
+        processed = self.deid_model.deid_multi_texts([input_text, input_text],
+                                                     n_process=1, redact=True)
+        self.assertEqual(len(processed), 2)
+        for anon_text in processed:
+            self.assert_deid_redact(anon_text)
+
+    # @timeout_decorator.timeout(3 * 60)  # 3 minutes max
+    @unittest.skip("Deid Multiprocess is broken. Exits the process, no errors shown")
+    def test_model_can_multiprocess_no_redact(self):
+
+        processed = self.deid_model.deid_multi_texts(
+            [input_text, input_text], n_process=2)
+        self.assertEqual(len(processed), 2)
+        for tid, new_text in enumerate(processed):
+            with self.subTest(str(tid)):
+                self.assert_deid_annotations(new_text)
+
+    # @timeout_decorator.timeout(3 * 60)  # 3 minutes max
+    @unittest.skip("Deid Multiprocess is broken. Exits the process, no errors shown.")
+    def test_model_can_multiprocess_redact(self):
+        """ 
+         deid_multi_text is broken for n_process >1.
+         Issue: Running this just exits the whole process, no errors or exceptions shown
+         """
+        try:
+            print("Calling test_model_can_multiprocess_redact")
+            processed = self.deid_model.deid_multi_texts(
+                [input_text, input_text], n_process=2, redact=True
+            )
+            print("Finished processing")
+            self.assertEqual(len(processed), 5)
+            for tid, new_text in enumerate(processed):
+                with self.subTest(str(tid)):
+                    self.assert_deid_redact(new_text)
+        except Exception as e:
+            self.fail(f"Multiprocessing redact test raised an exception: {e}")
diff --git a/medcat-v2/tests/utils/test_cdb_state.py b/medcat-v2/tests/utils/test_cdb_state.py
index 4883c1ce5..a1013aa22 100644
--- a/medcat-v2/tests/utils/test_cdb_state.py
+++ b/medcat-v2/tests/utils/test_cdb_state.py
@@ -113,18 +113,19 @@ def test_state_restored(self):
 
 class StateSavedOnDiskTests(StateSavedTests):
     on_disk = True
-    _named_tempory_file = tempfile.NamedTemporaryFile
+    _named_tempory_directory = tempfile.TemporaryDirectory
 
     @classmethod
     def saved_name_temp_file(cls):
-        tf = cls._named_tempory_file()
-        cls.temp_file_name = tf.name
+        tf = cls._named_tempory_directory()
+        cls.temp_file_name = os.path.join(tf.name, "cdb_state.dat")
         return tf
 
     @classmethod
     def setUpClass(cls) -> None:
-        with mock.patch("builtins.open", side_effect=open) as cls.popen:
-            with mock.patch("tempfile.NamedTemporaryFile",
+        with mock.patch("medcat.utils.cdb_state.open", side_effect=open
+                        ) as cls.popen:
+            with mock.patch("tempfile.TemporaryDirectory",
                             side_effect=cls.saved_name_temp_file) as cls.pntf:
                 return super().setUpClass()
 
diff --git a/medcat-v2/tests/utils/test_cdb_utils.py b/medcat-v2/tests/utils/test_cdb_utils.py
new file mode 100644
index 000000000..3ab2a6c83
--- /dev/null
+++ b/medcat-v2/tests/utils/test_cdb_utils.py
@@ -0,0 +1,524 @@
+import unittest
+import numpy as np
+
+from medcat.cdb import CDB
+from medcat.config import Config
+from medcat.cdb.concepts import get_new_cui_info, get_new_name_info
+from medcat.utils.cdb_utils import (
+    merge_cdb, _dedupe_preserve_order, get_all_ch,
+    ch2pt_from_pt2ch, snomed_ct_concept_path
+)
+
+
+class CDBUtilsTests(unittest.TestCase):
+    """Test cases for medcat.utils.cdb_utils module."""
+
+    @classmethod
+    def setUpClass(cls):
+        """Set up test fixtures."""
+        cls.config = Config()
+        cls.config.general.log_level = 20  # INFO level
+
+    def setUp(self):
+        """Set up for each test."""
+        self.cdb1 = self._create_test_cdb("cdb1")
+        self.cdb2 = self._create_test_cdb("cdb2")
+
+    def _create_test_cdb(self, name: str) -> CDB:
+        """Create a test CDB with sample data."""
+        cdb = CDB(self.config)
+
+        if name == "cdb1":
+            # CUI1 with training data
+            cui_info1 = get_new_cui_info(
+                cui="CUI1",
+                preferred_name="Test Concept 1",
+                names={"test concept 1", "tc1"},
+                subnames={"test", "concept", "tc1"},
+                type_ids={"T001"},
+                description="First test concept",
+                count_train=10,
+                context_vectors={
+                    "long": np.random.rand(300),
+                    "short": np.random.rand(300)
+                },
+                average_confidence=0.8
+            )
+            cdb.cui2info["CUI1"] = cui_info1
+
+            # CUI2 without training data
+            cui_info2 = get_new_cui_info(
+                cui="CUI2",
+                preferred_name="Test Concept 2",
+                names={"test concept 2", "tc2"},
+                subnames={"test", "concept", "tc2"},
+                type_ids={"T002"},
+                description="Second test concept",
+                count_train=0,
+                context_vectors=None,
+                average_confidence=0.0
+            )
+            cdb.cui2info["CUI2"] = cui_info2
+
+            # Add name info
+            name_info1 = get_new_name_info(
+                name="test concept 1",
+                per_cui_status={"CUI1": "A"},
+                is_upper=False,
+                count_train=5
+            )
+            cdb.name2info["test concept 1"] = name_info1
+
+        elif name == "cdb2":
+            # CUI1 with different training data (should be merged)
+            cui_info1 = get_new_cui_info(
+                cui="CUI1",
+                preferred_name="Test Concept 1",
+                names={"test concept 1", "tc1", "concept one"},
+                subnames={"test", "concept", "tc1", "one"},
+                type_ids={"T001", "T003"},
+                description="First test concept (updated)",
+                count_train=15,
+                context_vectors={
+                    "long": np.random.rand(300),
+                    "medium": np.random.rand(300)
+                },
+                average_confidence=0.9
+            )
+            cdb.cui2info["CUI1"] = cui_info1
+
+            # CUI3 (new concept)
+            cui_info3 = get_new_cui_info(
+                cui="CUI3",
+                preferred_name="Test Concept 3",
+                names={"test concept 3", "tc3"},
+                subnames={"test", "concept", "tc3"},
+                type_ids={"T003"},
+                description="Third test concept",
+                count_train=5,
+                context_vectors={"short": np.random.rand(300)},
+                average_confidence=0.7
+            )
+            cdb.cui2info["CUI3"] = cui_info3
+
+            # Add name info
+            name_info1 = get_new_name_info(
+                name="test concept 1",
+                per_cui_status={"CUI1": "P"},
+                is_upper=False,
+                count_train=8
+            )
+            cdb.name2info["test concept 1"] = name_info1
+
+        # Add token counts
+        cdb.token_counts["test"] = 10
+        cdb.token_counts["concept"] = 15
+
+        return cdb
+
+    def _assert_cui_merge_results(self, merged_cdb, expected_results):
+        """Helper method to assert merge results for multiple CUIs using subTest."""
+        for cui, expected in expected_results.items():
+            with self.subTest(cui=cui):
+                self.assertIn(cui, merged_cdb.cui2info)
+                cui_info = merged_cdb.cui2info[cui]
+
+                # Test count_train
+                if 'count_train' in expected:
+                    self.assertEqual(cui_info['count_train'], expected['count_train'])
+
+                # Test names
+                for name in expected.get('names_should_contain', []):
+                    self.assertIn(name, cui_info['names'])
+
+                # Test type_ids
+                for type_id in expected.get('type_ids_should_contain', []):
+                    self.assertIn(type_id, cui_info['type_ids'])
+
+                # Test context vectors
+                if expected.get('should_have_context_vectors', True):
+                    self.assertIsNotNone(cui_info['context_vectors'])
+                    for context_type in expected.get('context_vectors_should_contain', []):
+                        self.assertIn(context_type, cui_info['context_vectors'])
+                else:
+                    self.assertIsNone(cui_info['context_vectors'])
+
+                for context_type in expected.get('context_vectors_should_not_contain', []):
+                    if cui_info['context_vectors']:
+                        self.assertNotIn(context_type, cui_info['context_vectors'])
+
+    def test_merge_cdb_basic_merge(self):
+        """Test basic CDB merging functionality."""
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=0, full_build=True
+        )
+
+        # Expected results for each CUI after merging
+        expected_results = {
+            "CUI1": {
+                "count_train": 25,  # 10 + 15
+                "names_should_contain": ["concept one"],
+                "type_ids_should_contain": ["T003"],
+                "context_vectors_should_contain": ["medium"],
+                "context_vectors_should_not_contain": [],
+                "should_have_context_vectors": True
+            },
+            "CUI2": {
+                "count_train": 0,
+                "names_should_contain": [],
+                "type_ids_should_contain": [],
+                "context_vectors_should_contain": [],
+                "context_vectors_should_not_contain": [],
+                "should_have_context_vectors": False
+            },
+            "CUI3": {
+                "count_train": 5,
+                "names_should_contain": [],
+                "type_ids_should_contain": [],
+                "context_vectors_should_contain": [],
+                "context_vectors_should_not_contain": [],
+                "should_have_context_vectors": True
+            }
+        }
+
+        # Should have 3 concepts total
+        self.assertEqual(len(merged_cdb.cui2info), 3)
+
+        # Test each CUI with subTest for better error reporting
+        self._assert_cui_merge_results(merged_cdb, expected_results)
+
+    def test_merge_cdb_overwrite_training_cdb1(self):
+        """Test CDB merging with overwrite_training=1 (prioritize cdb1)."""
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=1, full_build=True
+        )
+
+        # Expected results when prioritizing cdb1
+        expected_results = {
+            "CUI1": {
+                "count_train": 10,  # Only cdb1's count
+                "context_vectors_should_contain": ["long", "short"],
+                "context_vectors_should_not_contain": ["medium"]
+            },
+            "CUI2": {
+                "count_train": 0,
+                "context_vectors_should_contain": [],
+                "context_vectors_should_not_contain": [],
+                "should_have_context_vectors": False
+            },
+            "CUI3": {
+                "count_train": 5,  # From cdb2 (new concept)
+                "context_vectors_should_contain": ["short"],
+                "context_vectors_should_not_contain": []
+            }
+        }
+
+        self._assert_cui_merge_results(merged_cdb, expected_results)
+
+    def test_merge_cdb_overwrite_training_cdb2(self):
+        """Test CDB merging with overwrite_training=2 (prioritize cdb2)."""
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=2, full_build=True
+        )
+
+        # Expected results when prioritizing cdb2
+        expected_results = {
+            "CUI1": {
+                "count_train": 15,  # Only cdb2's count
+                "context_vectors_should_contain": ["long", "medium"],
+                "context_vectors_should_not_contain": ["short"]
+            },
+            "CUI2": {
+                "count_train": 0,
+                "context_vectors_should_contain": [],
+                "context_vectors_should_not_contain": [],
+                "should_have_context_vectors": False
+            },
+            "CUI3": {
+                "count_train": 5,  # From cdb2 (new concept)
+                "context_vectors_should_contain": ["short"],
+                "context_vectors_should_not_contain": []
+            }
+        }
+
+        self._assert_cui_merge_results(merged_cdb, expected_results)
+
+    def test_merge_cdb_name_info_merging(self):
+        """Test that name information is properly merged."""
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=0, full_build=True
+        )
+
+        # Name info should be merged
+        name_info = merged_cdb.name2info["test concept 1"]
+        self.assertEqual(name_info['count_train'], 13)  # 5 + 8
+        # Should use cdb2's status (P) since it's more recent
+        self.assertEqual(name_info['per_cui_status']['CUI1'], 'P')
+
+    def test_merge_cdb_token_counts(self):
+        """Test that token counts are properly merged."""
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=0, full_build=True
+        )
+
+        # Token counts should be merged
+        self.assertEqual(merged_cdb.token_counts['test'], 20)  # 10 + 10
+        self.assertEqual(merged_cdb.token_counts['concept'], 30)  # 15 + 15
+
+    def test_merge_cdb_preserves_original_cdbs(self):
+        """Test that original CDBs are not modified."""
+        original_cdb1_cui1_count = self.cdb1.cui2info["CUI1"]['count_train']
+        original_cdb2_cui1_count = self.cdb2.cui2info["CUI1"]['count_train']
+
+        merged_cdb = merge_cdb(
+            self.cdb1, self.cdb2, overwrite_training=0, full_build=True
+        )
+
+        # Original CDBs should be unchanged
+        self.assertEqual(
+            self.cdb1.cui2info["CUI1"]['count_train'], original_cdb1_cui1_count
+        )
+        self.assertEqual(
+            self.cdb2.cui2info["CUI1"]['count_train'], original_cdb2_cui1_count
+        )
+
+    def test_merge_cdb_empty_cdb2(self):
+        """Test merging with an empty cdb2."""
+        empty_cdb = CDB(self.config)
+        merged_cdb = merge_cdb(
+            self.cdb1, empty_cdb, overwrite_training=0, full_build=True
+        )
+
+        # Should be identical to cdb1
+        self.assertEqual(len(merged_cdb.cui2info), len(self.cdb1.cui2info))
+        self.assertEqual(merged_cdb.cui2info["CUI1"]['count_train'], 10)
+
+    def test_merge_cdb_empty_cdb1(self):
+        """Test merging with an empty cdb1."""
+        empty_cdb = CDB(self.config)
+        merged_cdb = merge_cdb(
+            empty_cdb, self.cdb2, overwrite_training=0, full_build=True
+        )
+
+        # Should be identical to cdb2
+        self.assertEqual(len(merged_cdb.cui2info), len(self.cdb2.cui2info))
+        self.assertEqual(merged_cdb.cui2info["CUI1"]['count_train'], 15)
+
+    def test_dedupe_preserve_order(self):
+        """Test the _dedupe_preserve_order function."""
+        # Test with duplicates
+        items = ["a", "b", "a", "c", "b", "d"]
+        result = _dedupe_preserve_order(items)
+        expected = ["a", "b", "c", "d"]
+        self.assertEqual(result, expected)
+
+        # Test with no duplicates
+        items = ["a", "b", "c", "d"]
+        result = _dedupe_preserve_order(items)
+        self.assertEqual(result, items)
+
+        # Test with empty list
+        result = _dedupe_preserve_order([])
+        self.assertEqual(result, [])
+
+        # Test with single item
+        result = _dedupe_preserve_order(["a"])
+        self.assertEqual(result, ["a"])
+
+    def test_get_all_ch(self):
+        """Test the get_all_ch function."""
+        # Create a CDB with parent-child relationships
+        cdb = CDB(self.config)
+        cdb.addl_info = {
+            'pt2ch': {
+                'parent1': ['child1', 'child2'],
+                'child1': ['grandchild1'],
+                'child2': ['grandchild2'],
+                'grandchild1': []
+            }
+        }
+
+        # Test getting all children of parent1
+        all_children = get_all_ch('parent1', cdb)
+        expected = ['parent1', 'child1', 'grandchild1', 'child2', 'grandchild2']
+        self.assertEqual(all_children, expected)
+
+        # Test getting children of a leaf node
+        all_children = get_all_ch('grandchild1', cdb)
+        self.assertEqual(all_children, ['grandchild1'])
+
+        # Test getting children of a node with no children
+        all_children = get_all_ch('nonexistent', cdb)
+        self.assertEqual(all_children, ['nonexistent'])
+
+    def test_ch2pt_from_pt2ch(self):
+        """Test the ch2pt_from_pt2ch function."""
+        # Create a CDB with parent-child relationships
+        cdb = CDB(self.config)
+        cdb.addl_info = {
+            'pt2ch': {
+                'parent1': ['child1', 'child2'],
+                'parent2': ['child1', 'child3'],
+                'child1': ['grandchild1']
+            }
+        }
+
+        # Test default key
+        ch2pt = ch2pt_from_pt2ch(cdb)
+        expected = {
+            'child1': ['parent1', 'parent2'],
+            'child2': ['parent1'],
+            'child3': ['parent2'],
+            'grandchild1': ['child1']
+        }
+        self.assertEqual(ch2pt, expected)
+
+        # Test with custom key
+        cdb.addl_info['custom_pt2ch'] = {
+            'root': ['branch1', 'branch2']
+        }
+        ch2pt = ch2pt_from_pt2ch(cdb, 'custom_pt2ch')
+        expected = {
+            'branch1': ['root'],
+            'branch2': ['root']
+        }
+        self.assertEqual(ch2pt, expected)
+
+    def test_snomed_ct_concept_path(self):
+        """Test the snomed_ct_concept_path function."""
+        # Create a CDB with SNOMED CT hierarchy
+        cdb = CDB(self.config)
+        cdb.addl_info = {
+            'ch2pt': {
+                '138875005': [],  # Root
+                '123456789': ['138875005'],  # Child of root
+                '987654321': ['123456789'],  # Grandchild
+                '111222333': ['987654321']   # Great-grandchild
+            }
+        }
+
+        # Add CUI info for the concepts
+        cdb.cui2info = {
+            '138875005': get_new_cui_info(
+                cui='138875005', preferred_name='SNOMED CT Root'
+            ),
+            '123456789': get_new_cui_info(
+                cui='123456789', preferred_name='Clinical Finding'
+            ),
+            '987654321': get_new_cui_info(cui='987654321', preferred_name='Disease'),
+            '111222333': get_new_cui_info(cui='111222333', preferred_name='Diabetes')
+        }
+
+        # Test getting path for a concept
+        result = snomed_ct_concept_path('111222333', cdb)
+
+        # Should return a dict with node_path and links
+        self.assertIn('node_path', result)
+        self.assertIn('links', result)
+
+        # The node_path should contain the root node structure
+        self.assertEqual(result['node_path']['cui'], '138875005')
+        self.assertEqual(result['node_path']['pretty_name'], 'SNOMED CT Root')
+
+        # Test with non-existent concept
+        result = snomed_ct_concept_path('nonexistent', cdb)
+        self.assertEqual(result, {'node_path': {}, 'links': []})
+
+    def test_snomed_ct_concept_path_custom_parent(self):
+        """Test snomed_ct_concept_path with custom parent node."""
+        # Create a CDB with hierarchy
+        cdb = CDB(self.config)
+        cdb.addl_info = {
+            'ch2pt': {
+                'root': [],
+                'parent': ['root'],
+                'child': ['parent']
+            }
+        }
+
+        # Add CUI info
+        cdb.cui2info = {
+            'root': get_new_cui_info(cui='root', preferred_name='Root'),
+            'parent': get_new_cui_info(cui='parent', preferred_name='Parent'),
+            'child': get_new_cui_info(cui='child', preferred_name='Child')
+        }
+
+        # Test with custom parent
+        result = snomed_ct_concept_path('child', cdb, parent_node='parent')
+
+        # Should return a dict with node_path and links
+        self.assertIn('node_path', result)
+        self.assertIn('links', result)
+
+        # The node_path should contain the custom parent node structure
+        self.assertEqual(result['node_path']['cui'], 'parent')
+        self.assertEqual(result['node_path']['pretty_name'], 'Parent')
+
+    def test_merge_cdb_context_vector_weights(self):
+        """Test that context vectors are properly weighted during merging."""
+        # Create CDBs with known context vectors for testing
+        cdb1 = CDB(self.config)
+        cdb2 = CDB(self.config)
+
+        # Create known vectors
+        vec1_long = np.array([1.0, 2.0, 3.0] + [0.0] * 297)  # 300 dimensions
+        vec2_long = np.array([4.0, 5.0, 6.0] + [0.0] * 297)
+
+        cui_info1 = get_new_cui_info(
+            cui="CUI1",
+            preferred_name="Test",
+            names={"test"},
+            count_train=10,
+            context_vectors={"long": vec1_long}
+        )
+        cdb1.cui2info["CUI1"] = cui_info1
+
+        cui_info2 = get_new_cui_info(
+            cui="CUI1",
+            preferred_name="Test",
+            names={"test"},
+            count_train=20,
+            context_vectors={"long": vec2_long}
+        )
+        cdb2.cui2info["CUI1"] = cui_info2
+
+        # Merge with equal weights (overwrite_training=0)
+        merged_cdb = merge_cdb(cdb1, cdb2, overwrite_training=0, full_build=True)
+
+        # Check that the merged vector is properly weighted
+        merged_vec = merged_cdb.cui2info["CUI1"]['context_vectors']['long']
+        expected_vec = (10/30) * vec1_long + (20/30) * vec2_long
+
+        np.testing.assert_array_almost_equal(merged_vec, expected_vec, decimal=10)
+
+    def test_merge_cdb_tags_merging(self):
+        """Test that tags are properly merged."""
+        cdb1 = CDB(self.config)
+        cdb2 = CDB(self.config)
+
+        cui_info1 = get_new_cui_info(
+            cui="CUI1",
+            preferred_name="Test",
+            names={"test"},
+            tags=["tag1", "tag2"]
+        )
+        cdb1.cui2info["CUI1"] = cui_info1
+
+        cui_info2 = get_new_cui_info(
+            cui="CUI1",
+            preferred_name="Test",
+            names={"test"},
+            tags=["tag3", "tag4"]
+        )
+        cdb2.cui2info["CUI1"] = cui_info2
+
+        merged_cdb = merge_cdb(cdb1, cdb2, overwrite_training=0, full_build=True)
+
+        # Tags should be merged
+        merged_tags = merged_cdb.cui2info["CUI1"]['tags']
+        expected_tags = ["tag1", "tag2", "tag3", "tag4"]
+        self.assertEqual(merged_tags, expected_tags)
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/medcat-v2/tests/utils/test_check_for_updates.py b/medcat-v2/tests/utils/test_check_for_updates.py
new file mode 100644
index 000000000..a5977861a
--- /dev/null
+++ b/medcat-v2/tests/utils/test_check_for_updates.py
@@ -0,0 +1,148 @@
+import io
+import json
+import logging
+import time
+import unittest
+from unittest.mock import patch
+from pathlib import Path
+from medcat.utils import check_for_updates
+
+
+class TestVersionCheck(unittest.TestCase):
+
+    def setUp(self):
+        self.pkg = "medcat"
+        self.current_version = "1.3.0"
+        self.cache_path = Path("/tmp/fake_cache.json")
+
+    def tearDown(self):
+        if self.cache_path.exists():
+            self.cache_path.unlink()
+
+    # --- helpers ---
+    def _make_releases(self, versions, yanked=None):
+        """Return a fake releases dict."""
+        yanked = yanked or {}
+        return {
+            v: [{"yanked": yanked.get(v, False)}]
+            for v in versions
+        }
+
+    # 1. runs if cache missing
+    @patch("medcat.utils.check_for_updates._do_check")
+    @patch("medcat.utils.check_for_updates.urllib.request.urlopen")
+    def test_runs_without_cache(self, mock_urlopen, mock_do_check):
+        data = {"releases": self._make_releases(["1.3.1", "1.3.2", "1.4.0"])}
+        mock_urlopen.return_value.__enter__.return_value = io.StringIO(
+            json.dumps(data))
+        with patch("medcat.utils.check_for_updates.DEFAULT_CACHE_PATH",
+                   self.cache_path):
+            check_for_updates.check_for_updates(self.pkg, self.current_version)
+        mock_do_check.assert_called_once()
+
+    # 2. runs if cache interval expired
+    @patch("medcat.utils.check_for_updates._do_check")
+    @patch("medcat.utils.check_for_updates.urllib.request.urlopen")
+    def test_runs_if_interval_expired(self, mock_urlopen, mock_do_check):
+        data = {"releases": self._make_releases(["1.3.1"])}
+        mock_urlopen.return_value.__enter__.return_value = io.StringIO(
+            json.dumps(data))
+        # create old cache
+        self.cache_path.parent.mkdir(parents=True, exist_ok=True)
+        with open(self.cache_path, "w") as f:
+            json.dump({"last_check": time.time() - (
+                check_for_updates.DEFAULT_CHECK_INTERVAL + 1)}, f)
+        with patch("medcat.utils.check_for_updates.DEFAULT_CACHE_PATH",
+                   self.cache_path):
+            check_for_updates.check_for_updates(self.pkg, self.current_version)
+        mock_do_check.assert_called_once()
+
+    # 3. doesn't run if cache still valid
+    @patch("medcat.utils.check_for_updates._do_check")
+    def test_does_not_run_if_interval_not_expired(self, mock_do_check):
+        # recent cache
+        self.cache_path.parent.mkdir(parents=True, exist_ok=True)
+        with open(self.cache_path, "w") as f:
+            json.dump({"last_check": time.time()}, f)
+        with patch("medcat.utils.check_for_updates.DEFAULT_CACHE_PATH",
+                   self.cache_path):
+            check_for_updates.check_for_updates(self.pkg, self.current_version)
+        mock_do_check.assert_not_called()
+
+    # 4. info for 3+ patch versions
+    @patch("medcat.utils.check_for_updates.log_info")
+    def test_patch_threshold_triggered(self, mock_log):
+        releases = self._make_releases(["1.3.1", "1.3.2", "1.3.3", "1.3.4"])
+        cnf = {
+            "pkg_name": self.pkg,
+            "minor_threshold": 99,
+            "patch_threshold": 3,
+        }
+        cnf.update(enabled=True, cache_path=self.cache_path, url="",
+                   timeout=0, check_interval=0)
+        check_for_updates._do_check(cnf, releases, self.current_version)
+        self.assertTrue(any("patch releases available" in c[0][0]
+                            for c in mock_log.call_args_list))
+
+    # 5. info for 3+ minor versions
+    @patch("medcat.utils.check_for_updates.log_info")
+    def test_minor_threshold_triggered(self, mock_log):
+        releases = self._make_releases(["1.4.0", "1.5.0", "1.6.0", "1.7.0"])
+        cnf = {
+            "pkg_name": self.pkg,
+            "minor_threshold": 3,
+            "patch_threshold": 99,
+        }
+        cnf.update(enabled=True, cache_path=self.cache_path, url="",
+                   timeout=0, check_interval=0)
+        check_for_updates._do_check(cnf, releases, self.current_version)
+        self.assertTrue(any("minor releases available" in c[0][0]
+                            for c in mock_log.call_args_list))
+
+    # 6. env variable changes log level (regular)
+    @patch.dict("os.environ", {
+        "MEDCAT_VERSION_UPDATE_LOG_LEVEL": "ERROR"})
+    def test_env_log_level_regular(self):
+        msg = "Test"
+        with patch.object(check_for_updates.logger, "log") as mock_log:
+            check_for_updates.log_info(msg)
+        self.assertEqual(mock_log.call_args[0][0], logging.ERROR)
+
+    # 7. env variable changes log level (yanked)
+    @patch.dict("os.environ", {
+        "MEDCAT_VERSION_UPDATE_YANKED_LOG_LEVEL": "CRITICAL"})
+    def test_env_log_level_yanked(self):
+        msg = "Yanked"
+        with patch.object(check_for_updates.logger, "log") as mock_log:
+            check_for_updates.log_info(msg, yanked=True)
+        self.assertEqual(mock_log.call_args[0][0], logging.CRITICAL)
+
+    # 8. yanked version triggers warning
+    @patch("medcat.utils.check_for_updates.log_info")
+    def test_yanked_version_logs(self, mock_log):
+        releases = self._make_releases(["1.3.0"], yanked={"1.3.0": True})
+        cnf = {
+            "pkg_name": self.pkg,
+            "minor_threshold": 99,
+            "patch_threshold": 99,
+        }
+        cnf.update(enabled=True, cache_path=self.cache_path, url="",
+                   timeout=0, check_interval=0)
+        check_for_updates._do_check(cnf, releases, self.current_version)
+        self.assertTrue(any("yanked version" in c[0][0]
+                            for c in mock_log.call_args_list))
+
+    # 9. invalid current version handled gracefully
+    def test_invalid_current_version_does_not_raise(self):
+        releases = self._make_releases(["1.2.0"])
+        cnf = {
+            "pkg_name": self.pkg,
+            "minor_threshold": 99,
+            "patch_threshold": 99,
+        }
+        cnf.update(enabled=True, cache_path=self.cache_path, url="",
+                   timeout=0, check_interval=0)
+        try:
+            check_for_updates._do_check(cnf, releases, "not_a_version")
+        except Exception as e:
+            self.fail(f"Should not raise, but got {e!r}")
diff --git a/medcat-v2/tests/utils/test_postprocessing.py b/medcat-v2/tests/utils/test_postprocessing.py
new file mode 100644
index 000000000..12b56ed9f
--- /dev/null
+++ b/medcat-v2/tests/utils/test_postprocessing.py
@@ -0,0 +1,185 @@
+import unittest
+from unittest.mock import Mock, MagicMock
+from typing import List
+
+from medcat.utils.postprocessing import create_main_ann
+
+def create_mock_entity(text: str, start_char: int, end_char: int, cui: str = None, tokens: List = None):
+    """Helper function to create a mock entity with minimal setup."""
+    entity = MagicMock()
+    entity.base.text = text
+    entity.base.start_char_index = start_char
+    entity.base.end_char_index = end_char
+    entity.cui = cui or "UNKNOWN"
+    entity.confidence = 1.0
+    entity.context_similarity = 0.0
+    entity.id = id(entity)
+
+    # Mock tokens - if no tokens provided, create empty list
+    # Use side_effect to ensure __iter__ is callable and returns a new iterator each time
+    if tokens:
+        entity.__iter__ = Mock(side_effect=lambda: iter(tokens))
+    else:
+        entity.__iter__ = Mock(side_effect=lambda: iter([]))
+    entity.__len__.return_value = len(tokens or [])
+
+    return entity
+
+
+def create_mock_document(text: str):
+    """Helper function to create a mock document."""
+    doc = MagicMock()
+    doc.base.text = text
+    doc.ner_ents = []
+    doc.linked_ents = []
+    return doc
+
+
+class TestPostprocessing(unittest.TestCase):
+
+    def setUp(self):
+        # Create mock tokens for "chest pain" (if needed)
+        self.token_chest = MagicMock()
+        self.token_chest.base.index = 0
+        self.token_pain = MagicMock()
+        self.token_pain.base.index = 1
+
+        # Create entities that overlap: "chest pain", "chest", "pain" using helper function
+        self.entity_chest_pain = create_mock_entity("chest pain", 20, 30, "29857009",
+                                                   [self.token_chest, self.token_pain])
+        self.entity_chest = create_mock_entity("chest", 20, 25, "51185008",
+                                              [self.token_chest])
+        self.entity_pain = create_mock_entity("pain", 26, 30, "22253000",
+                                             [self.token_pain])
+
+        # Create document using helper function
+        self.doc = create_mock_document("50M presenting with chest pain. history of T2DM.")
+
+    def test_show_nested_entities_false_should_filter_overlaps(self):
+        """Test that show_nested_entities=False should filter overlapping entities."""
+
+        self.doc.ner_ents = [self.entity_chest_pain, self.entity_chest, self.entity_pain]
+
+        create_main_ann(self.doc, show_nested_entities=False)
+
+        entity_texts = [ent.base.text for ent in self.doc.linked_ents]
+
+        # Should only keep the longest entity when show_nested_entities=False
+        self.assertEqual(len(entity_texts), 1, "Should only keep one entity when filtering overlaps")
+        self.assertIn("chest pain", entity_texts, "Should keep the longest entity")
+        self.assertNotIn("chest", entity_texts, "Should filter out overlapping shorter entity")
+        self.assertNotIn("pain", entity_texts, "Should filter out overlapping shorter entity")
+
+    def test_show_nested_entities_true_should_keep_overlaps(self):
+        """Test that show_nested_entities=True should keep all overlapping entities."""
+
+        self.doc.ner_ents = [self.entity_chest_pain, self.entity_chest, self.entity_pain]
+
+        create_main_ann(self.doc, show_nested_entities=True)
+
+        entity_texts = [ent.base.text for ent in self.doc.linked_ents]
+
+        # Should keep all entities when show_nested_entities=True
+        self.assertEqual(len(entity_texts), 3, "Should keep all entities when showing nested")
+        self.assertIn("chest pain", entity_texts, "Should keep the longest entity")
+        self.assertIn("chest", entity_texts, "Should keep overlapping shorter entity")
+        self.assertIn("pain", entity_texts, "Should keep overlapping shorter entity")
+
+    def test_non_overlapping_entities_always_kept(self):
+        """Test that non-overlapping entities are always kept regardless of config."""
+
+        # Create a non-overlapping entity using helper function
+        token_dm = MagicMock()
+        token_dm.base.index = 2
+        entity_dm = create_mock_entity("T2DM", 43, 47, "44054006", [token_dm])
+
+        self.doc.ner_ents = [self.entity_chest_pain, entity_dm]
+
+        # Test with show_nested_entities=False
+        create_main_ann(self.doc, show_nested_entities=False)
+
+        entity_texts = [ent.base.text for ent in self.doc.linked_ents]
+
+        # Both non-overlapping entities should be kept
+        self.assertEqual(len(entity_texts), 2, "Should keep all non-overlapping entities")
+        self.assertIn("chest pain", entity_texts)
+        self.assertIn("T2DM", entity_texts)
+
+    def test_same_concept_multiple_locations(self):
+        """Test that the same concept in different locations is kept (no character overlap)."""
+
+        # Create two separate "chest pain" entities at different positions using helper function
+        # "50F with chest pain. PMHx of T2DM and hypertension. He reported chest pain started after lunch"
+        #           ^1st chest pain (20-30)                                    ^2nd chest pain (80-90)
+        token_chest_1 = MagicMock()
+        token_chest_1.base.index = 0
+        token_pain_1 = MagicMock()
+        token_pain_1.base.index = 1
+        token_chest_2 = MagicMock()
+        token_chest_2.base.index = 10
+        token_pain_2 = MagicMock()
+        token_pain_2.base.index = 11
+
+        entity_chest_pain_1 = create_mock_entity("chest pain", 20, 30, "29857009", [token_chest_1, token_pain_1])
+        entity_chest_pain_2 = create_mock_entity("chest pain", 80, 90, "29857009", [token_chest_2, token_pain_2])
+
+        # Create overlapping entities for the first mention only
+        entity_chest_1 = create_mock_entity("chest", 20, 25, "51185008", [token_chest_1])
+        entity_pain_1_overlap = create_mock_entity("pain", 26, 30, "22253000", [token_pain_1])
+
+        # Test with show_nested_entities=False
+        self.doc.ner_ents = [entity_chest_pain_1, entity_chest_pain_2, entity_chest_1, entity_pain_1_overlap]
+
+        create_main_ann(self.doc, show_nested_entities=False)
+
+        entity_texts = [ent.base.text for ent in self.doc.linked_ents]
+        entity_positions = [(ent.base.text, ent.base.start_char_index, ent.base.end_char_index)
+                          for ent in self.doc.linked_ents]
+
+        print(f"Same concept multiple locations result: {entity_positions}")
+
+        # Should keep both "chest pain" entities (non-overlapping) but filter out overlapping shorter entities
+        self.assertEqual(len(entity_texts), 2, "Should keep both non-overlapping 'chest pain' entities")
+        self.assertEqual(entity_texts.count("chest pain"), 2, "Should have two 'chest pain' entities")
+        self.assertNotIn("chest", entity_texts, "Should filter out overlapping 'chest' entity")
+        self.assertNotIn("pain", entity_texts, "Should filter out overlapping 'pain' entity")
+
+        # Verify positions are correct
+        positions = [ent.base.start_char_index for ent in self.doc.linked_ents if ent.base.text == "chest pain"]
+        self.assertIn(20, positions, "Should have 'chest pain' at position 20")
+        self.assertIn(80, positions, "Should have 'chest pain' at position 80")
+
+    def test_same_concept_multiple_locations_with_nested_true(self):
+        """Test same concept in multiple locations when show_nested_entities=True."""
+
+        # Create the same setup as above test using helper functions
+        token_chest_1 = MagicMock()
+        token_chest_1.base.index = 0
+        token_pain_1 = MagicMock()
+        token_pain_1.base.index = 1
+        token_chest_2 = MagicMock()
+        token_chest_2.base.index = 10
+        token_pain_2 = MagicMock()
+        token_pain_2.base.index = 11
+
+        entity_chest_pain_1 = create_mock_entity("chest pain", 20, 30, "29857009", [token_chest_1, token_pain_1])
+        entity_chest_pain_2 = create_mock_entity("chest pain", 80, 90, "29857009", [token_chest_2, token_pain_2])
+        entity_chest_1 = create_mock_entity("chest", 20, 25, "51185008", [token_chest_1])
+        entity_pain_1_overlap = create_mock_entity("pain", 26, 30, "22253000", [token_pain_1])
+
+        # Test with show_nested_entities=True
+        self.doc.ner_ents = [entity_chest_pain_1, entity_chest_pain_2, entity_chest_1, entity_pain_1_overlap]
+
+        create_main_ann(self.doc, show_nested_entities=True)
+
+        entity_texts = [ent.base.text for ent in self.doc.linked_ents]
+
+        # Should keep ALL entities when show_nested_entities=True
+        self.assertEqual(len(entity_texts), 4, "Should keep all entities when showing nested")
+        self.assertEqual(entity_texts.count("chest pain"), 2, "Should have two 'chest pain' entities")
+        self.assertIn("chest", entity_texts, "Should keep overlapping 'chest' entity")
+        self.assertIn("pain", entity_texts, "Should keep overlapping 'pain' entity")
+
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file
diff --git a/medcat-v2/uv.lock b/medcat-v2/uv.lock
index 414add1ae..34c065385 100644
--- a/medcat-v2/uv.lock
+++ b/medcat-v2/uv.lock
@@ -1,16 +1,16 @@
 version = 1
-revision = 2
 requires-python = ">=3.9"
 resolution-markers = [
-    "python_full_version < '3.10'",
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
     "python_full_version == '3.10.*'",
+    "python_full_version == '3.11.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.10'",
+    "python_full_version >= '3.13'",
 ]
 
 [[package]]
 name = "accelerate"
-version = "1.8.1"
+version = "1.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -21,23 +21,23 @@ dependencies = [
     { name = "safetensors" },
     { name = "torch" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/b1/72/ff3961c19ee395c3d30ac630ee77bfb0e1b46b87edc504d4f83bb4a89705/accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8", size = 392446 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/5f/a0/d9ef19f780f319c21ee90ecfef4431cbeeca95bec7f14071785c17b6029b/accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11", size = 374909 },
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 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.12.13"
+version = "3.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -49,132 +49,167 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
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@@ -834,7 +942,8 @@ dependencies = [
 deid = [
     { name = "datasets" },
     { name = "scikit-learn" },
-    { name = "scipy" },
+    { name = "scipy", version = "1.13.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" },
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     { name = "torch" },
     { name = "transformers" },
 ]
@@ -851,7 +960,8 @@ dict-ner = [
 meta-cat = [
     { name = "peft" },
     { name = "scikit-learn" },
-    { name = "scipy" },
+    { name = "scipy", version = "1.13.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" },
+    { name = "scipy", version = "1.16.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" },
     { name = "torch" },
     { name = "transformers" },
 ]
@@ -861,7 +971,8 @@ rel-cat = [
     { name = "transformers" },
 ]
 spacy = [
-    { name = "spacy" },
+    { name = "spacy", version = "3.8.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "spacy", version = "3.8.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
 ]
 
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+[[package]]
+name = "zipp"
+version = "3.23.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276 },
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diff --git a/v1/medcat-trainer/.env-example b/v1/medcat-trainer/.env-example
new file mode 100644
index 000000000..40b942556
--- /dev/null
+++ b/v1/medcat-trainer/.env-example
@@ -0,0 +1,6 @@
+# MedCAT
+SPACY_MODELS="en_core_web_sm en_core_web_md en_core_web_lg"
+
+# Ports
+MCTRAINER_PORT=8001
+SOLR_PORT=8983
diff --git a/v1/medcat-trainer/.gitignore b/v1/medcat-trainer/.gitignore
new file mode 100644
index 000000000..c87aa6e98
--- /dev/null
+++ b/v1/medcat-trainer/.gitignore
@@ -0,0 +1,51 @@
+#Directories to be ignored fully
+/books/
+/articles/
+/other/
+/output/
+/graphics/
+/webapp/models/*
+data/
+tmp/
+*_tmp/
+.idea
+
+/webapp/frontend/dist/*
+/webapp/api/media/*
+/webapp/api/static/*
+
+# Configuration
+.env
+
+# Keep folders with this
+!.keep
+
+#tmp and similar files
+.nfs*
+*.pyc
+*.out
+*.swp
+*.swn
+tmp_*
+t_*
+tmp_*
+*_tmp
+*.swo
+*.lyx.emergency
+*.lyx#
+*~
+*.log
+*hidden*
+db.sqlite3
+nohup.out
+tmp.py
+
+# docs outputs
+docs/_build
+
+# macOS system files
+.DS_Store
+*/.DS_Store
+
+# Jupyter Notebook checkpoints
+*/.ipynb_checkpoints/*
diff --git a/v1/medcat-trainer/.readthedocs.yaml b/v1/medcat-trainer/.readthedocs.yaml
new file mode 100644
index 000000000..4bea1918f
--- /dev/null
+++ b/v1/medcat-trainer/.readthedocs.yaml
@@ -0,0 +1,17 @@
+# .readthedocs.yaml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+version: 2
+
+build:
+  os: ubuntu-20.04
+  tools:
+    python: "3.9"
+
+sphinx:
+  configuration: medcat-trainer/docs/conf.py
+
+python:
+  install:
+    - requirements: medcat-trainer/docs/requirements.txt
diff --git a/v1/medcat-trainer/.vscode/launch.json b/v1/medcat-trainer/.vscode/launch.json
new file mode 100644
index 000000000..66557aad5
--- /dev/null
+++ b/v1/medcat-trainer/.vscode/launch.json
@@ -0,0 +1,91 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+
+        
+        {
+            "name": "frontend",
+            "type": "node",
+            "request": "launch",
+            "cwd": "${workspaceFolder}/webapp/frontend",
+            "runtimeExecutable": "npm",
+            "runtimeArgs": [
+                "run",
+                "dev"
+            ],
+            "console": "integratedTerminal"
+        },
+        {
+            "name": "frontend build",
+            "type": "node",
+            "request": "launch",
+            "cwd": "${workspaceFolder}/webapp/frontend",
+            "runtimeExecutable": "npm",
+            "runtimeArgs": [
+                "run",
+                "build"
+            ],
+            "console": "integratedTerminal"
+        },
+        {
+            "name": "django shell",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "shell"
+            ],
+            "django": true
+        },
+        {
+            "name": "make migrations",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "makemigrations"
+            ],
+            "django": true
+        },
+        {
+            "name": "migrate",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/webapp/api/manage.py",
+            "args": [
+                "migrate"
+            ],
+            "django": true
+        },
+        {
+            "name": "run server",
+            "type": "debugpy",
+            "request": "launch",
+            "args": [
+                "runserver",
+                "0.0.0.0:8001"
+            ],
+            "env": {
+                "CONCEPT_SEARCH_SERVICE_HOST": "localhost"
+            },
+            "django": true,
+            "program": "${workspaceFolder}/webapp/api/manage.py"
+        },
+        {
+            "name": "process tasks",
+            "type": "debugpy",
+            "request": "launch",
+            "args": [
+                "process_tasks"
+            ],
+            "env": {
+                "CONCEPT_SEARCH_SERVICE_HOST": "localhost"
+            },
+            "django": true,
+            "program": "${workspaceFolder}/webapp/api/manage.py"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/v1/medcat-trainer/CODE_OF_CONDUCT.md b/v1/medcat-trainer/CODE_OF_CONDUCT.md
new file mode 100644
index 000000000..18c914718
--- /dev/null
+++ b/v1/medcat-trainer/CODE_OF_CONDUCT.md
@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/v1/medcat-trainer/LICENSE b/v1/medcat-trainer/LICENSE
new file mode 100644
index 000000000..7a4a3ea24
--- /dev/null
+++ b/v1/medcat-trainer/LICENSE
@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
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+
+      "You" (or "Your") shall mean an individual or Legal Entity
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+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
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+      or other liability obligations and/or rights consistent with this
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+      on Your own behalf and on Your sole responsibility, not on behalf
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+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
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+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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\ No newline at end of file
diff --git a/v1/medcat-trainer/README.md b/v1/medcat-trainer/README.md
new file mode 100644
index 000000000..13b7ef260
--- /dev/null
+++ b/v1/medcat-trainer/README.md
@@ -0,0 +1,18 @@
+ # Medical <img src="https://github.com/CogStack/cogstack-nlp/blob/main/media/cat-logo.png?raw=true" width=45>oncept Annotation Tool Trainer
+
+[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml?query=branch%3Amain)
+[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml/badge.svg)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml)
+[![Documentation Status](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)
+[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat-trainer/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
+
+MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition
+and Linking (NER+L) model (MedCAT) for biomedical domain text.
+
+MedCATTrainer was presented at EMNLP/IJCNLP 2019 :tada:
+[here](https://www.aclweb.org/anthology/D19-3024.pdf)
+
+# Documentation and Discussion
+
+Official docs available [here](https://docs.cogstack.org/projects/medcat-trainer)
+
+If you have any questions why not reach out to the community [discourse forum here](https://discourse.cogstack.org/)
diff --git a/v1/medcat-trainer/configs/base.txt b/v1/medcat-trainer/configs/base.txt
new file mode 100644
index 000000000..418f28af8
--- /dev/null
+++ b/v1/medcat-trainer/configs/base.txt
@@ -0,0 +1,14 @@
+cat.linking.optim = {'type': 'standard', 'lr': 0.1}
+cat.linking.filter_before_disamb = True
+# 20 - INFO; 10 - DEBUG
+cat.general.log_level = 20
+# Recommended is to have this one negative
+cat.linking.similarity_threshold = -5
+# And this one to be used as the real th
+cat.linking.similarity_threshold_trainer = -5
+# Used for limiting the number of occ of a concept in a project
+cat.general.cui_count_limit = 100000000
+# Is unlink full
+cat.general.full_unlink = False
+# use this spacy model
+cat.general.spacy_model = 'en_core_web_md'
diff --git a/v1/medcat-trainer/docker-compose-dev.yml b/v1/medcat-trainer/docker-compose-dev.yml
new file mode 100644
index 000000000..7117ab2ce
--- /dev/null
+++ b/v1/medcat-trainer/docker-compose-dev.yml
@@ -0,0 +1,61 @@
+# Dev compose yml file for building, running and mounting local git cloned repo.
+
+services:
+  medcattrainer:
+    build:
+      network: host
+      context: ./webapp
+      args:
+        SPACY_MODELS: ${SPACY_MODELS:-en_core_web_md}
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./webapp/api/core:/home/api/core
+      - ./webapp/api/api:/home/api/api
+      - ./webapp/scripts:/home/scripts
+      - ./configs:/home/configs
+      - ./supervisord.conf:/etc/supervisord.conf
+    env_file:
+      - ./envs/env
+    environment:
+      - MCT_VERSION=latest
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env
+    ports:
+      - ${MCTRAINER_PORT:-8001}:8000
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env
+    ports:
+      - ${SOLR_PORT:-8983}:8983
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
diff --git a/v1/medcat-trainer/docker-compose-mc0x.yml b/v1/medcat-trainer/docker-compose-mc0x.yml
new file mode 100644
index 000000000..14e8fa5f9
--- /dev/null
+++ b/v1/medcat-trainer/docker-compose-mc0x.yml
@@ -0,0 +1,35 @@
+version: '3.4'
+
+# Compose file yml for MedCAT v0.x models. This is a legacy compose services config for older MedCAT models.
+
+services:
+  medcattrainer:
+    container_name: medcattrainer
+    hostname: medcat
+    restart: always
+    image: cogstacksystems/medcat-trainer:mc-v0.x-latest
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+    expose:
+      - "8000"
+    env_file:
+      - ./envs/env-mc0x
+    command: /home/run.sh
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    ports:
+      - "${MCTRAINER_PORT:-8001}:8000"
+    depends_on:
+      - medcattrainer
+volumes:
+  api-media:
+  api-static:
+  api-db:
diff --git a/v1/medcat-trainer/docker-compose-prod.yml b/v1/medcat-trainer/docker-compose-prod.yml
new file mode 100644
index 000000000..2a7f007ce
--- /dev/null
+++ b/v1/medcat-trainer/docker-compose-prod.yml
@@ -0,0 +1,57 @@
+# Prod compose file -
+
+services:
+  medcattrainer:
+    container_name: medcattrainer
+    hostname: medcat
+    restart: always
+    image: cogstacksystems/medcat-trainer:v2.23.1
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./supervisord.conf:/etc/supervisord.conf
+      - ./configs:/home/configs
+    env_file:
+      - ./envs/env-prod
+    environment:
+      - MCT_VERSION=v2.23.1
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    container_name: medcattrainer_nginx
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env-prod
+    ports:
+      - "${MCTRAINER_PORT:-8001}:8000"
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env-prod
+    expose:
+      - "8983"
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud  # solr cloud launches
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
diff --git a/v1/medcat-trainer/docker-compose.yml b/v1/medcat-trainer/docker-compose.yml
new file mode 100644
index 000000000..27d494a4d
--- /dev/null
+++ b/v1/medcat-trainer/docker-compose.yml
@@ -0,0 +1,56 @@
+# Default compose yml file - uses latest build of MedCATtrainer services. Default passwords and example
+# projects are not used.
+
+services:
+  # medattrainer services
+  medcattrainer:
+    image: cogstacksystems/medcat-trainer:v2.23.1
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - api-db:/home/api/db
+      - api-db-backup:/home/api/db-backup
+      - ./configs:/home/configs
+      - ./supervisord.conf:/etc/supervisord.conf
+    env_file:
+      - ./envs/env
+    environment:
+      - MCT_VERSION=v2.23.1
+    command: /usr/bin/supervisord -c /etc/supervisord.conf
+
+  nginx:
+    image: nginx
+    restart: always
+    volumes:
+      - api-media:/home/api/media
+      - api-static:/home/api/static
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
+      - ./nginx/sites-enabled/:/etc/nginx/sites-enabled
+    env_file:
+      - ./envs/env
+    ports:
+      - ${MCTRAINER_PORT:-8001}:8000
+    depends_on:
+      - medcattrainer
+      - solr
+
+  solr:
+    container_name: mct_solr
+    image: solr:8
+    restart: always
+    env_file:
+      - ./envs/env
+    ports:
+      - ${SOLR_PORT:-8983}:8983
+    volumes:
+      - solr-data:/var/solr
+    command:
+      - -cloud
+
+volumes:
+  api-media:
+  api-static:
+  api-db:
+  api-db-backup:
+  solr-data:
diff --git a/v1/medcat-trainer/docs/Makefile b/v1/medcat-trainer/docs/Makefile
new file mode 100644
index 000000000..d4bb2cbb9
--- /dev/null
+++ b/v1/medcat-trainer/docs/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/v1/medcat-trainer/docs/_static/css/overrides.css b/v1/medcat-trainer/docs/_static/css/overrides.css
new file mode 100644
index 000000000..efe2995d9
--- /dev/null
+++ b/v1/medcat-trainer/docs/_static/css/overrides.css
@@ -0,0 +1,24 @@
+
+.wy-side-nav-search {
+  background: #0072CE; /* NHS Blue */
+}
+
+.wy-side-scroll {
+  background: #E8EDEE; /* NHS Pale Grey */
+}
+
+.wy-menu-vertical a {
+  color: #212B32; /* primary text: NHS Dark Grey */
+}
+
+.wy-menu-vertical a:hover {
+  color: white;
+}
+
+.wy-side-nav-search .wy-dropdown>a img.logo, .wy-side-nav-search>a img.logo {
+  max-width: 50px;
+}
+
+.wy-nav-content {
+  max-width: 1200px !important;
+}
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new file mode 100644
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+</g>
+</svg>
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+# Administrator Setup
+
+1\.  The container runs a vanilla [django](https://www.djangoproject.com/) app, that upon initially loaded
+will create a defaulted administrator user with details:
+
+<pre>
+    username: admin
+    password: admin
+</pre>
+
+2\. We strongly recommend creating a new admin user before using the trainer in 'production' and storing sensitive
+clinical documents on the trainer. To add a new user navigate to select `http://localhost:8001/admin/` and select 'Users'.
+
+![](_static/img/users-select.png)
+
+3\. Select 'Add User' and complete the form with a new username / password.
+
+![](_static/img/add-new-users.png)
+
+4\. Once created, select the new user, and tick the 'Staff Status' or 'Superuser Status' to allow the user to
+access the admin app.
+
+5\. Remove the default admin user by navigating to step 2, select the user and the action
+
+![](_static/img/remove-default-user.png)
diff --git a/v1/medcat-trainer/docs/advanced_usage.md b/v1/medcat-trainer/docs/advanced_usage.md
new file mode 100644
index 000000000..60bb35b3d
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@@ -0,0 +1,3 @@
+# Advanced Usage
+
+- ReST API Usage for bulk dataset / project creation: available in: docs/API_Examples.ipynb
\ No newline at end of file
diff --git a/v1/medcat-trainer/docs/annotator_guide.md b/v1/medcat-trainer/docs/annotator_guide.md
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index 000000000..981b3e1ed
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+# Annotation Interface
+
+The annotation interface can be split into 5 sections.
+
+![](_static/img/main-annotation-interface.png)
+
+## Section 1 - Document Summary List
+A list of documents to be completed in this project. Currently selected documents are highlighted in blue
+left border. Submitted documents are marked with a ![tick_mark](_static/img/tick_mark.png).
+
+## Section 2 - Clinical Text
+The selected documents text, highlighted with each concept recognised by the configured MedCAT model.
+Highlighted spans of text indicate status of the annotation:
+- Grey: A User has *not reviewed* this span that has been recognised and linked by MedCAT to a CDB concept.
+- Blue: A User has reviewed the span and marked it as ***correct*** in terms of its linked MedCAT concept.
+- Red: A User has reviewed the span and marked it as **incorrect** in terms of its linked MedCAT concept.
+- Dark Red: A User has reviewed the span and marked it to **terminate**, meaning the text span should never again
+  link to this text span, this informs MedCAT that
+- Turqoise: A User has reviewed the span and marked it as an  **alternative** linked concept. The user has used the
+  'Concept Picker' to choose the correct concept that should be linked.
+
+### Additional Annotations
+MedCAT may miss text spans that are acronyms, abbreviations or misspellings of concepts. Missing annotations can be
+added to the text by directly highlighting the text span, right clicking, selecting 'Add Term', searching for
+concept (via ID, or name), and selecting Add Term:
+
+![](_static/img/add-annotation-text.png) -> ![](_static/img/add-annotation-menu.png) -> ![](_static/img/add-annotation-concept-pick.png)
+
+Select:
+- Add Term: to add this annotation to the text span and link the selected concept
+- Cancel: (Shortcut esc): to cancel adding the annotation to the text.
+
+![](_static/img/add-annotation-select-concept.png)
+
+## Section 3 - Action Bar
+
+### Concept Navigation
+Navigating between the list of concepts as they appear in the document:
+- Action buttons, left and right
+- Left and right arrow keys on keyboard
+- Directly clicking on the concept within the text.
+
+
+### Concept Status Buttons
+A concept can be marked with only one status. Status is recorded but only sent to MedCAT for
+training on **submit** of the document and if the projects configured with "Train Model On Submit" is ticked.
+
+### Submit Button
+Submit is disabled until all concepts have been reviewed and marked with a status. Clicking submit will produce  
+a submission confirmation dialog with an annotation summary. Confirming submission will send all new annotations
+to MedCATTrainer middle tier, and re-train the MedCAT model. The following document will be selected and annotated
+by the newly trained MedCAT model
+
+## Section 4 - Header Toolbar
+Lists the current name of the document under review and the number of remaining documents to annotate in this project
+action buttons for:
+- ![](_static/img/summary-button.png): Summary of current annotations. f A similar view is shown before confirmation of submission of the annotations
+- ![](_static/img/help-button.png): Help dialog, showing shortcuts for document & concept navigation, concept annotation and submission.
+- ![](_static/img/reset-button.png): Reset document. If an annotation is incorrectly added, or incorrectly submitted resetting the document will
+  clear all previous annotations and their status.
+
+## Section 5 - Concept Summary
+Lists the current selected concepts details.
+
+|Concept Detail| Description |
+|--------------| ------------|
+|Annotated Text| The text span linked to the concept|
+|Name          | The linked concept name from within the MedCAT CDB|
+|Type ID       | The higher level group of concepts that this concept sits under. This may be 'N/A' depending if your CDB has Type IDs or not.|
+|Concept ID    | The unique identifier for this linked concept from the MedCAT CDB.|
+|Accuracy      | The MedCAT found accuracy of the linked concept for this span. Text spans will have an accuracy 1.0, if they are uniquely identified by that name in the CDB|
+|Description   | The MedCAT associated description of the concept. SNOMED-CT does not provide descriptions of concepts, only alternative names whereas UMLS does provide descriptions|
\ No newline at end of file
diff --git a/v1/medcat-trainer/docs/conf.py b/v1/medcat-trainer/docs/conf.py
new file mode 100644
index 000000000..bdd55355a
--- /dev/null
+++ b/v1/medcat-trainer/docs/conf.py
@@ -0,0 +1,88 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+import sys
+sys.path.insert(0, os.path.abspath('.'))
+
+
+# -- Project information -----------------------------------------------------
+
+project = 'MedCATtrainer'
+copyright = '2022, CogStack Org'
+author = 'CogStack Org'
+
+# The full version, including alpha/beta/rc tags
+release = 'latest'
+
+
+# -- General configuration ---------------------------------------------------
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    'sphinx_rtd_theme',
+    'sphinx.ext.autodoc',
+    'myst_parser',
+    'sphinx.ext.inheritance_diagram',
+    'autoapi.extension',
+]
+
+autoapi_type = 'python'
+autoapi_dirs = ['../webapp/api/api']
+autodoc_typehints = 'description'
+autoapi_template_dir = '_templates/autoapi_templates'
+
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
+
+source_suffix = {
+    '.rst': 'restructuredtext',
+    '.txt': 'markdown',
+    '.md': 'markdown',
+}
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'sphinx_rtd_theme'
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+html_css_files = [
+    'css/overrides.css'
+]
+
+def autoapi_skip_member(app, what, name, obj, skip, options):
+    # skip:
+    #   log class attributes
+    #   'private' methods, attributes, functions
+    exclude = (what == 'attribute' and name == 'log') or \
+        (name.startswith('_') and not name.startswith('__'))
+    return exclude
+
+
+def setup(app):
+    """Add autoapi-skip-member."""
+    app.connect('autoapi-skip-member', autoapi_skip_member)
diff --git a/v1/medcat-trainer/docs/demo_page.md b/v1/medcat-trainer/docs/demo_page.md
new file mode 100644
index 000000000..e4f653725
--- /dev/null
+++ b/v1/medcat-trainer/docs/demo_page.md
@@ -0,0 +1,23 @@
+# Demo
+For demonstration purposes and general testing of a current model a stripped back version of the annotator is provided
+via the 'Demo' tab of the main screen.
+
+![](_static/img/demo_tab.png)
+
+This presents a similar looking annotation screen as a real project, but does not
+force usage of a particular dataset, setup of filters, and other project settings. This view does not allow for 'annotating'
+identified concepts (or adding new concepts) but allows for users to get a feel for what an existing MedCAT model is
+capable of annotating in via an interactive model
+
+![](_static/img/demo_interface.png)
+
+1\. A form to:
+- Select the appropriate project model to view concept annotations for.
+- Clinical text to annotate and display in 2.
+- CUI and TypeID filters can be used to only show concepts of interest in 2. For example for a UMLS CDB this could be
+  T047 for "Disease or Syndrome". CUI and TypeID filters are combined if entries are included in both form inputs.
+
+2\. Example clinical text is displayed here, with text spans highlighted in blue. Click any annotation to show linked
+concept DB details in 3.
+
+3\. Linked concept details from selected concepts from the 2. 
\ No newline at end of file
diff --git a/v1/medcat-trainer/docs/index.rst b/v1/medcat-trainer/docs/index.rst
new file mode 100644
index 000000000..b7758d22c
--- /dev/null
+++ b/v1/medcat-trainer/docs/index.rst
@@ -0,0 +1,31 @@
+.. MedCATtrainer documentation master file, created by
+   sphinx-quickstart on Fri Feb 18 17:02:13 2022.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Welcome to MedCATtrainer's documentation!
+=========================================
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   main.md
+   installation.md
+   admin_setup.md
+   project_admin.md
+   project_group_admin.md
+   demo_page.md
+   annotator_guide.md
+   meta_annotations.md
+   advanced_usage.md
+   maintenance.md
+   client.md
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/v1/medcat-trainer/docs/installation.md b/v1/medcat-trainer/docs/installation.md
new file mode 100644
index 000000000..f9b0738e7
--- /dev/null
+++ b/v1/medcat-trainer/docs/installation.md
@@ -0,0 +1,74 @@
+# Installation
+MedCATtrainer is a docker-compose packaged Django application.
+
+## Download from Dockerhub
+Clone the repo, run the default docker-compose file and default env var:
+```shell
+$ git clone https://github.com/CogStack/cogstack-nlp
+$ cd cogstack-nlp/medcat-trainer
+$ docker-compose up
+```
+
+This will use the pre-built docker images available on DockerHub. If your internal firewall does on permit access to DockerHub, you can build directly from source.
+
+To check logs of the MedCATtrainer running containers
+```bash
+$  docker logs <containerid> | grep "\[medcattrainer\]"
+$  docker logs <containerid> | grep "\[bg-process\]"
+$  docker logs <containerid> | grep "\[db-backup\]"
+```
+
+## MedCAT v0.x models
+If you have MedCAT v0.x models, and want to use the trainer please use the following docker-compose file:
+This refences the latest built image for the trainer that is still compatible with [MedCAT v0.x.](https://pypi.org/project/medcat/0.4.0.6/) and under.
+```shell
+$ docker-compose -f docker-compose-mc0x.yml up
+```
+
+## Build images from source
+The above commands runs the latest release of MedCATtrainer, if you'd prefer to build the Docker images from source, use
+```shell
+$ docker-compose -f docker-compose-dev.yml up
+```
+
+To change environment variables, such as the exposed host ports and language of spaCy model, use:
+```shell
+$ cp .env-example .env
+# Set local configuration in .env
+```
+
+## Troubleshooting
+If the build fails with an error code 137, the virtual machine running the docker
+daemon does not have enough memory. Increase the allocated memory to containers in the docker daemon
+settings CLI or associated docker GUI.
+
+On MAC: https://docs.docker.com/docker-for-mac/#memory
+
+On Windows: https://docs.docker.com/docker-for-windows/#resources
+
+### (Optional) SMTP Setup
+
+For password resets and other emailing services email environment variables are required to be set up.
+
+Personal email accounts can be set up by users to do this, or you can contact someone in CogStack for a cogstack no email credentials.
+
+The environment variables required are listed in [Environment Variables.](#(optional)-environment-variables)
+
+Environment Variables are located in envs/env or envs/env-prod, when those are set webapp/frontend/.env must change "VITE_APP_EMAIL" to 1.
+
+### (Optional) Environment Variables
+Environment variables are used to configure the app:
+
+|Parameter|Description|
+|---------|-----------|
+|MEDCAT_CONFIG_FILE|MedCAT config file as described [here](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/medcat/config/config.py)|
+|BEHIND_RP| If you're running MedCATtrainer, use 1, otherwise this defaults to 0 i.e. False|
+|MCTRAINER_PORT|The port to run the trainer app on|
+|EMAIL_USER|Email address which will be used to send users emails regarding password resets|
+|EMAIL_PASS|The password or authentication key which will be used with the email address|
+|EMAIL_HOST|The hostname of the SMTP server which will be used to send email (default: mail.cogstack.org)|
+|EMAIL_PORT|The port that the SMTP server is listening to, common numbers are 25, 465, 587 (default: 465)|
+
+Set these and re-run the docker-compose file.
+
+You'll need to `docker stop` the running containers if you have already run the install.
diff --git a/v1/medcat-trainer/docs/main.md b/v1/medcat-trainer/docs/main.md
new file mode 100644
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+++ b/v1/medcat-trainer/docs/main.md
@@ -0,0 +1,7 @@
+ # Medical <img src="_static/img/cat-logo.png" width=45>oncept Annotation Tool Trainer
+ 
+MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition 
+and Linking (NER+L) model (MedCAT) for biomedical domain text.
+
+MedCATTrainer was presented at EMNLP/IJCNLP 2019.
+
diff --git a/v1/medcat-trainer/docs/maintenance.md b/v1/medcat-trainer/docs/maintenance.md
new file mode 100644
index 000000000..b21af39b1
--- /dev/null
+++ b/v1/medcat-trainer/docs/maintenance.md
@@ -0,0 +1,61 @@
+# Maintanence
+
+MedCATtrainer is actively maintained. To ensure you receive the latest
+security patches of the software and its dependencies you should regularly
+be upgrading to the latest release.
+
+The latest stable releases update the `docker-compose.yml` and `docker-compose-prod.yml` files.
+
+To update these docker compose files, either copy them directly from the [repo](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer)
+or update the cloned files via:
+
+```shell
+$ cd MedCATtrainer
+$ git pull
+$ docker-compose up
+# alternatively for prod releases use:
+$ docker-compose -f docker-compose-prod.yml up
+```
+
+MedCATtrainer follows [Semver](https://semver.org/), so patch and minor release should always be backwards compatible, 
+whereas major releases, e.g. v1.x vs 2.x versions signify breaking changes. 
+
+Neccessary Django DB migrations will automatically applied between releases, which should largely be invisible to an end admin 
+or annotation user. Nevertheless, migrating ORM / DB models, then rolling back a release can cause issues if values are defaulted 
+or removed from a later version. 
+
+## Backup and Restore
+
+### Backup
+Before updating to a new release, a backup will be created in the `DB_BACKUP_DIR`, as configured in `envs/env`.
+A further crontab runs the same backup script at 10pm every night. This does not cause any downtime and will look like
+this in the logs:
+```shell
+medcattrainer-medcattrainer-db-backup-1  | Found backup dir location: /home/api/db-backup and DB_PATH: /home/api/db/db.sqlite3
+medcattrainer-medcattrainer-db-backup-1  | Backed up existing DB to /home/api/db-backup/db-backup-2023-09-26__23-26-01.sqlite3
+medcattrainer-medcattrainer-db-backup-1  | To restore this backup use $ ./restore.sh /home/api/db-backup/db-backup-2023-09-26__23-26-01.sqlite3
+```
+
+A backup is also automatically performed each time the service starts, and any migrations are performed, in the events of a new release
+introducing a breaking change and corrupting a DB.
+
+### Restore
+If a DB is corrupted or needs to be restored to an existing backed up db use the following commands, whilst the service is running:
+
+```shell
+$ docker ps
+CONTAINER ID   IMAGE                                          COMMAND                  CREATED      STATUS      PORTS                                               NAMES
+a2489b0c681b   cogstacksystems/medcat-trainer-nginx:v2.11.2   "/docker-entrypoint.…"   4 days ago   Up 4 days   80/tcp, 0.0.0.0:8001->8000/tcp, :::8001->8000/tcp   medcattrainer-nginx-1
+20fed153d798   solr:8                                         "docker-entrypoint.s…"   4 days ago   Up 4 days   0.0.0.0:8983->8983/tcp, :::8983->8983/tcp           mct_solr
+2b250a0975fe   cogstacksystems/medcat-trainer:v2.11.2         "/home/run.sh"           4 days ago   Up 4 days                                                       medcattrainer-medcattrainer-1
+$ docker exec -it 2b250a0975fe bash
+root@2b250a0975fe:/home/api# cd ..
+$ restore_db.sh db-backup-2023-09-25__23-21-39.sqlite3  # run the restore.sh script
+Found backup dir location: /home/api/db-backup, found db path: home/api/db/db.sqlite3
+DB file to restore: db-backup-2023-09-25__23-21-39.sqlite3
+Found db-backup-2023-09-25__23-21-39.sqlite3 - y to confirm backup: y  # you'll need tp confirm this is the correct file to restore.
+Restored db-backup-2023-09-25__23-21-39.sqlite3 to /home/db/db.sqlite3
+```
+
+The `restore_db.sh` script will automatically restore the latest db file, if no file is specified.
+
diff --git a/v1/medcat-trainer/docs/make.bat b/v1/medcat-trainer/docs/make.bat
new file mode 100644
index 000000000..8084272b4
--- /dev/null
+++ b/v1/medcat-trainer/docs/make.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.https://www.sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd
diff --git a/v1/medcat-trainer/docs/meta_annotations.md b/v1/medcat-trainer/docs/meta_annotations.md
new file mode 100644
index 000000000..bafcd8a19
--- /dev/null
+++ b/v1/medcat-trainer/docs/meta_annotations.md
@@ -0,0 +1,42 @@
+# Meta Annotations
+
+MedCAT is also able to learn project & context specific annotations that overlay on top of the base layer of concept annotations.
+
+Example use cases of these annotations could be to train models to predict if:
+
+- all disease concepts were **experienced** by the patient, a relative, or N/A.
+- all symptom concepts are **temporally** reference present day, or are historical.
+- all drug concepts are mentions of patients consuming drugs rather than **hypothetical** mentions.
+- a complaint for a patient is **primary** or **secondary**.
+
+MedCATTrainer is configurable (via the administrator app), to allow for the collection of these meta annotations. We
+currently have not integrated the active learning components of the concept recognition.
+
+## Meta Annotation Configuration
+
+To create a new Meta Annotation Task and attach to an existing project:
+
+1\. Enter your project configuration settings via the admin page (http://localhost:8001/admin/)
+
+![](_static/img/select-existing-project.png)
+
+2\. At the bottom of the form, select the + icon to bring up the new Meta Annotation Task Form.
+
+![](_static/img/add-new-meta-task.png)
+
+3\. Complete the form and add additional meta task values if required for your task via the '+' icon and the 'values' input.
+Values are enumerated options for your specific task. These can be re-used across projects or be project specific.
+Ensure the default is one of the corresponding values available. Descriptions appear alongside the tasks in interface
+and in full in the help dialog.
+
+![](_static/img/meta-task-form.png)
+
+4\. Select desired Meta Annotation tasks for the project by holding down (ctrl / cmd) and clicking the meta tasks,
+then select 'Save' to save the project changes.
+
+![](_static/img/select-tasks.png)
+
+5\. Meta Annotations now appear in the interface for that project under the concept summary. Meta-annotations
+only appear for concepts that are correct.
+
+![](_static/img/meta-tasks-interface.png)
\ No newline at end of file
diff --git a/v1/medcat-trainer/docs/project_admin.md b/v1/medcat-trainer/docs/project_admin.md
new file mode 100644
index 000000000..19f1e30ab
--- /dev/null
+++ b/v1/medcat-trainer/docs/project_admin.md
@@ -0,0 +1,205 @@
+# Annotation Project Creation
+
+## Creating an Annotation Project 
+Annotation projects are used to inspect, validate and improve concepts recognised & linked by MedCAT.
+They can also be used collect annotations for defined MetaCAT models tasks, and coming soon RelCAT, or relation annotation models.
+
+Using the admin page, a configured admin or superuser can create, edit and delete annotation projects.
+
+1\. Navigate to `http://localhost:8001/admin/` or the `http://<hostname>:<port>/admin/` in which you've deployed the Trainer, and select 'Project annotate entities'.
+
+![Main Menu list](_static/img/project_annotate_entities.png)
+
+2\. 'Add Project Annotate Entities'
+
+![Add Project Annotate Entities button](_static/img/add_project_annotate_entities.png)
+project_admin
+3\. Complete the new annotation project form. The table below provides details the purpose of each field:
+
+|Parameter|Description|
+|---------|-----------|
+|Name|# Name of the project that appears on the landing page|
+|Description| Example projects', # Description as it appears on the landing page|
+|Annotation guideline link|A link to a GoogleDoc, MS Sharepoint document etc. that provides this projects annotation guidelines|
+|Members    | **list** of users that have access to this project, select the '+' to create new users |
+|Dataset    | The set of documents to be annotated. The dataset tabular schema is described below.  |
+|Validated Documents| Ignore this list. Use of this list is described in the forthcoming advanced administrator user guide|
+|Cuis       | (Optional) A list of comma separated Concept Unique Identifiers (CUIs). Use this to only show precise concepts in this project |
+|CUI File   | (Optional) A JSON formatted list of CUIs. Can be useful if the project should be setup to annotate large CUI lists extracted gathered from introspection of a CDB. **Will be merged with the above 'Cuis' list**| 
+|Concept DB | A MedCAT Concept Database. This should be the resulting file from a call to the function medcat.cdb.CDB.save_dict('name_of_cdb.dat'). Clicking the '+' icon here opens a dialog to upload a CDB file. |
+|vocab      | A MedCAT Vocabulary. This should be the resulting file from a call to the function medcat.cdb.utils.Vocab.save_dict('name_of_vocab.dat'). Clicking the '+' icon here opens a dialog to upload a vocab file.|
+|cdb_search_filter|CDB ID used to lookup concepts during addition of annotations to a document|
+|Require Entity Validation| (Default: True) With this option ticked, annotations in the interface, that are made by MedCAT will appear 'grey' indicating they have not been validated. Document submission is dependent upon all 'grey' annotations to be marked by a user. Unticked ensures all annotations are marked 'valid' by default|
+|Train Model On Submit| (Default: True) With this option ticked, each document submission trains the configured MedCAT instance with the marked, and added if any, annotations from this document. Unticked, ensures the MedCAT model does not train between submissions.| 
+|Add New Entities|(Default: False) With this option ticked, allows users to add entirely new concepts to the existing MedCAT CDB. False ensures this option is not available to users.|
+|Restrict Concept Lookup|(Default: False) With this option ticked, restricts the concept lookup (add annotation / alternative concept) to only include those CUIs listed in the above filters (either from CUI / TUI list or uploade 'CUI File' list|
+|Terminate Available|(Default: True) With this option ticked, the option to terminate an annotated concept will appear|
+|Irrelevant Available|(Default: False) With this option ticked, the option to mark an annotated concept as 'irrlevant' will appear|
+|Enable entity annotation comments|(Default: False) With this option ticked, the option to leave a comment for each annotation will appear|
+|Tasks| Select from the list 'Meta Annotation' tasks that will appear once a given annotation has been marked correct.|
+|Relations|Select from the list of 'Relation Annotation' tasks that will appear for a given concept.| 
+
+Datasets can be uploaded in CSV or XLSX format. Example:
+
+| name  | text                   | 
+|-------|------------------------|
+| Doc 1 | Example document text  |
+| Doc 2 | More example text      |
+
+The **name** column should be the ID (identifier) and unique for that dataset, the **text** column is the text to be annotated. 
+Example datasets are supplied under docs/example_data/*.csv
+
+4\. Click 'Save' to store the new project.
+
+### Project Home Screen
+
+Navigate to the home screen (`http://localhost:8001/` or `http://<hostname>:<port>/` depending on your deployment), login with your username and password setup previously.
+
+![](_static/img/login.png)
+
+Select your new project to begin annotating documents
+
+![](_static/img/available-projects.png)
+
+#### Admin Options
+Admin users have extra options on the home screen:
+
+1. Concepts Imported - specifies if this projects configured CDB Search Filter has been indexed. This is described in detail below.
+2. Model Loaded - MedCAT models are loaded into memory (a python dict) once a project is loaded. Loading many models with larger trainer deployments can occupy a lot of memory. **Note** Clearing cached models may affect other projects using the same model instance.
+3. Save Model - Write the in memory model to disk - to save the current in memory model state. This option is generally not advised as full model training should be done outside the trainer instance ideally. 
+
+### Notes
+- Example Concept and Vocab databses are freely available on MedCAT [github](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2).
+Note. UMLS and SNOMED-CT are licensed products so only these smaller trained concept / vocab databases are made available currently.
+- More documentation on the creation of UMLS / SNOMED-CT CDBs from respective source data will be released soon.
+- Tasks allow for the creation of meta-annotations and their associated set of values an annotator can use.
+An example 'meta-annotation' could be 'Temporality'. Values could then be 'Past', 'Present', 'Future'.
+- Please NOTE Firefox and IE are currently not supported**. Please use Chrome or Safari.
+
+## Concept Picker - CDB Concept Import
+The concept picker is used to:
+- Pick alternative concepts for an existing recognised span
+  ![](_static/img/pick-alternative-concept.png)
+- Pick a concept during the 'Add Term' process.
+  ![](_static/img/add-annotation-concept.png)
+
+The available list of concepts is populated via a MedCAT CDB and indexed in a [solr](https://solr.apache.org/) search index to enable fast type-ahead style search.
+
+SNOMED-CT / UMLS built databases can contain thousands if not millions of concepts so this process is executed
+in asynchronous task to ensure the admin page and app are still available for use.
+
+**This process should only be done once for each concept universe (i.e. SNOMED-CT, UMLS are 2 distinct concept universes)**
+per deployment or if the underlying MedCAT CDB changes Concepts will be indexed by there CUI, so importing different
+CDB instances that reference the same concept universe will only import
+the concepts that are in the set difference.
+
+To make these concepts available to a (or any project):
+
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Concept Dbs'
+![](_static/img/select-concept-dbs.png)
+
+3\. Select the Concept DB entry, and choose the action 'Import concepts', then press the 'Go' button.
+![](_static/img/import-concepts.png)
+
+Once the concept imports are complete the solr search services will contain 'collections' that are used by a Django view
+for fast type ahead searching. If you're an admin the project home screen will show if a project has had the selected 
+'CDB Search Filter' imported into solr.
+![](_static/img/concepts-imported-status.png)
+
+The Solr admin interface is available on the default port 8983. User guide [here](https://solr.apache.org/guide/solr/latest/getting-started/solr-admin-ui.html)
+
+### Concept Collection Maintenance
+The solr search service is designed to index all concepts and their metadata across any number of MedCAT Concept Databases. 
+By default it is run on the same host as the MedCATtrainer django backend, making it fast to tear down, and upload concept 
+collections, even if the entirety of SNOMED CT or UMLS is indexed. 
+
+To update an index, first delete the outdated concepts from solr via the django admin panel:
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Concept Dbs'
+
+3\. Select the Concept DB entry, and choose the action 'Delete ', then press the 'Go' button.
+![](_static/img/delete-indexed-concepts.png)
+
+This will drop the corresponding collection in the solr search service. This can be also be performed in the solr admin UI by default port 8983.
+
+## Downloading Annotations
+Project annotations can be downloaded with or without the source text, especially important if the source text is
+particularly sensitive and should be not be shared.
+
+1\. Open the admin app. (http://localhost:8001/admin/)
+
+2\. Select 'Project annotate entities',
+![Main Menu list](_static/img/project_annotate_entities.png)
+
+3\. Select the project(s) to download the annotations for and select the appropriate action for w/ or w/o source text,
+then press the 'Go' button. This will download all annotations, the meta-annotations (if any) for all projects selected.
+Annotations
+
+4\. An example jupyter notebook is provided under docs/Processing_Annotations.ipynb.
+
+![](_static/img/download-annos.png)
+
+## Clone Project
+Cloning Projects is a easy & fast method to create copies of configured projects. This includes the dataset, CDB / vocab
+reference, meta annotation settings etc. Annotations themselves will not be copied across.
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Project annotate entities' (same as above for downloading)
+
+2\. Select the project(s) to clone, select the 'Clone projects', then press the 'Go' button.
+![](_static/img/clone-projects.png)
+
+NB: Cloning projects will use the same CDB instance. If you're double annotating datasets to then calculate agreement scores (IIA, Cohen's Kappa etc.)
+then uncheck "Train Model On Submit" for each of the projects to ensure the model is not trained by each annotator.
+If you do want 'online training' of the model, use separate instances of the same model. You can directly upload multiple
+instances of the same CDB file appropriately named to achieve this.
+
+## Reset Project
+**Use with caution. Resetting projects deletes all annotations and resets a project to its state upon initial creation.**
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Project annotate entities'
+(same as above for downloading)
+
+2\. Select the project(s) to reset, then press the 'Go' button.
+![](_static/img/reset-projects.png)
+
+<a name="save-models"></a>
+## Save Models
+We strongly suggest models are not saved within MedCATtrainer then directly used. Instead, we suggest you use the collected
+annotations from projects to train and test a new MedCAT model.
+
+However, to save the current state of the model you can use:
+
+An API call - \<deployment\>:\<port\>/save-models/<project-id> that can be used to save the current state of
+a model. This will overwrite the current CDB file.
+
+Alternatively, login with an 'admin', (i.e. staff or superuser) account and hit the save model button associated with the project.
+
+<a name="download-models"></a>
+## Download Models
+
+1\. Open the admin app. (http://localhost:8001/admin/), and select 'Concept dbs'.
+
+2\. Click the CDB item you would like to download.
+
+4\. Click the CDB file, you will be prompted to save down the new CDB file. This file will be of the same format you
+have used previously, i.e. you've called medcat.cdb.save_dict('<location>').
+
+The saved MedCAT models can be used in any instance a regular MedCAT model may be used. I.e. in a jupyter notebook,
+part of a web service, or further fine-tuning in another MedCATTrainer instance.
+
+The Trainer currently does not support inspection / training / storage of the meta annotation models. These will be
+integrated in a forthcoming release.
+
+![](_static/img/save_cdb.png)
+
+5\. To load the new dictionary use medcat.cdb.load_dict('<location>')
+
+## Annotation Guidelines
+Annotation guidelines can assist guiding annotators when annotating texts for a MedCATTrainer project.
+
+Example Guidelines can be found [here](https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing).
+
+An initial guideline can be refined using specific examples from your dataset in a pilot project containing a handful of documents.
diff --git a/v1/medcat-trainer/docs/project_group_admin.md b/v1/medcat-trainer/docs/project_group_admin.md
new file mode 100644
index 000000000..19a351f21
--- /dev/null
+++ b/v1/medcat-trainer/docs/project_group_admin.md
@@ -0,0 +1,50 @@
+
+# Annotation Project Group Creation
+Annotation projects often involve more than one annotator.
+
+Project Group instances allow the creation and management of a group of annotation projects from one screen.
+
+## Annotation Project Group Creation
+
+Creating a Project Group is similar to regular [Annotation Project Creation](project_admin.md), but differs in a few 
+key ways. 
+
+They can be used to group existing projects together, or to create a set of Annotation Projects.
+
+## Key Differences from Regular Project Creation
+
+When completing a Project Group form, **Create Associated Projects** is a key parameter:
+
+### Create Associated Projects: True
+If checked will create an Annotation Project for each Annotator selected in the list. All selected Admins will be included as 'annotators' on each Project created. This saves 
+the current steps of creating a 'template' projec then cloning, renaming and re-permissioning each project which happens with
+regular project creation for multiple annotators. Each Project will be called **<Project Group Name> - <Annotator Name>**.
+
+
+### Create Associated Projects: False
+If False the only important parameters will be ProjectGroup Name and description. All other parameters will be ignored. The expectation here is 
+that the projects that are to be grouped already exist, and each Project will be added to the new Project Group manually.
+
+## Best Practise
+Project Groups provide a convenience method for the creating managing grorups of Annotation Projects. Changes such as CUI filters, and projec settings changed once
+in the group will flow down into the associated Annotation Projects.
+
+
+
+## Using Annotation Project Groups
+Regular, non-admin Users of MedCATTrainer, i.e. regular annotators, will not see the option to view Project Groups. 
+
+Admin users will see an action bar as shown:
+![Project Groups Available](_static/img/project-groups-view-available.png)
+
+Selecting this view will show all available Project Groups to the logged in user.
+![Project Groups view](_static/img/project-groups-view.png)
+
+Selecting a group now opens a lightbox with the list of projects in this group:
+![Project Group Contents](_static/img/projects-in-group.png)
+
+
+## Other Benefits of Project Groups
+
+Further enhancements will allow metric further comparisson between projects in a group, gamification, standard annotation metric reporting (e.g. IIA / Cohen's Kappa statistics etc.)
+
diff --git a/v1/medcat-trainer/docs/requirements.txt b/v1/medcat-trainer/docs/requirements.txt
new file mode 100644
index 000000000..2cdd31719
--- /dev/null
+++ b/v1/medcat-trainer/docs/requirements.txt
@@ -0,0 +1,4 @@
+Sphinx==6.2.1
+sphinx-rtd-theme~=1.0
+myst-parser~=0.17
+sphinx-autoapi==3.0.0
\ No newline at end of file
diff --git a/medcat-v1/medcat/utils/relation_extraction/llama/__init__.py b/v1/medcat-trainer/envs/.keep
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/llama/__init__.py
rename to v1/medcat-trainer/envs/.keep
diff --git a/v1/medcat-trainer/envs/env b/v1/medcat-trainer/envs/env
new file mode 100644
index 000000000..b083d1e2f
--- /dev/null
+++ b/v1/medcat-trainer/envs/env
@@ -0,0 +1,46 @@
+### Required for later numpy versions
+OPENBLAS_NUM_THREADS=1
+
+### MedCAT cfg ###
+MEDCAT_CONFIG_FILE=/home/configs/base.txt
+# number of MedCAT models that can be cached, run in bg processes at any one time
+MAX_MEDCAT_MODELS=2
+
+### Deployment Realm ###
+ENV=non-prod
+
+# Complete once this is deployed
+CSRF_TRUSTED_ORIGINS=
+
+### Django debug setting - to live-reload etc. ###
+DEBUG=1
+
+### Load example CDB, Vocab ###
+LOAD_EXAMPLES=1
+
+### Dataset conf ###
+UNIQUE_DOC_NAMES_IN_DATASETS=True
+MAX_DATASET_SIZE=10000
+
+### Solr Concept Search Conf ###
+CONCEPT_SEARCH_SERVICE_HOST=solr
+CONCEPT_SEARCH_SERVICE_PORT=8983
+
+### DB backup dir ###
+# volume mount location, default docker host system volume location, this might be different in /etc/docker/daemon.json
+DB_DIR=/home/api/db
+# currently only supports sqlite3 dbs
+DB_PATH=${DB_DIR}/db.sqlite3
+DB_BACKUP_DIR=/home/api/db-backup
+
+# Resubmit all on startup
+RESUBMIT_ALL_ON_STARTUP=0
+
+# Front end env vars
+LOAD_NUM_DOC_PAGES=10
+
+# SMTP email settings - when settings are configured go to webapp/frontend/.env and set VITE_APP_EMAIL to 1
+EMAIL_USER=example@cogstack.org
+EMAIL_PASS="to be changed"
+EMAIL_HOST=mail.cogstack.org
+EMAIL_PORT=465
diff --git a/v1/medcat-trainer/envs/env-mc0x b/v1/medcat-trainer/envs/env-mc0x
new file mode 100644
index 000000000..226c2e95f
--- /dev/null
+++ b/v1/medcat-trainer/envs/env-mc0x
@@ -0,0 +1,27 @@
+TYPE=NOT_UMLS
+DEBUG=False
+UPDATE_COO=False
+NESTED_ENTITIES=False
+
+CNTX_SPAN=9
+CNTX_SPAN_SHORT=3
+MIN_CUI_COUNT=30000
+MIN_CUI_COUNT_STRICT=-1
+MIN_ACC=0.2
+MIN_ACC_TH=0.2
+MIN_CONCEPT_LENGTH=1
+NEG_PROB=0.5
+LBL_STYLE=LONG
+WEIGHTED_AVG=True
+SKIP_STOPWORDS=False
+MAX_SKIP_TKN=2
+
+LR=0.1
+ANNEAL=False
+KEEP_PUNCT=:|.
+
+SPACY_MODEL=en_core_sci_md
+
+MKL_NUM_THREAD=1
+NUMEXPR_NUM_THREADS=1
+OMP_NUM_THREADS=1
diff --git a/v1/medcat-trainer/envs/env-prod b/v1/medcat-trainer/envs/env-prod
new file mode 100644
index 000000000..7ba554762
--- /dev/null
+++ b/v1/medcat-trainer/envs/env-prod
@@ -0,0 +1,47 @@
+### Required for later numpy versions
+OPENBLAS_NUM_THREADS=1
+
+### MedCAT cfg ###
+MEDCAT_CONFIG_FILE=/home/configs/base.txt
+# number of MedCAT models that can be cached, run in bg processes at any one time
+MAX_MEDCAT_MODELS=2
+ENV=prod
+
+# SECRET KEY - edit this for prod deployments,
+# SECRET_KEY=
+
+# Complete once this is deployed
+CSRF_TRUSTED_ORIGINS=
+
+# Django Debug mode should be False for prod
+DEBUG=0
+
+### Load example CDB, Vocab ###
+LOAD_EXAMPLES=0
+
+### Dataset conf ###
+UNIQUE_DOC_NAMES_IN_DATASETS=True
+MAX_DATASET_SIZE=10000
+
+### Solr Concept Search Conf ###
+CONCEPT_SEARCH_SERVICE_HOST=solr
+CONCEPT_SEARCH_SERVICE_PORT=8983
+
+### DB backup dir - should be set ideally to a mounted / backed up drive ###
+# volume mount location, default docker host system volume location, this might be different in /etc/docker/daemon.json
+DB_DIR=/home/api/db
+# currently only supports sqlite3 dbs
+DB_PATH=${DB_DIR}/db.sqlite3
+DB_BACKUP_DIR=/home/api/db-backup
+
+# Resubmit all on startup
+RESUBMIT_ALL_ON_STARTUP=1
+
+# Front end env vars
+LOAD_NUM_DOC_PAGES=10
+
+# SMTP EMAIL SETTINGS
+EMAIL_USER=example@cogstack.org
+EMAIL_PASS="to be changed"
+EMAIL_HOST=mail.cogstack.org
+EMAIL_PORT=465
\ No newline at end of file
diff --git a/v1/medcat-trainer/install.sh b/v1/medcat-trainer/install.sh
new file mode 100644
index 000000000..b7bbb2305
--- /dev/null
+++ b/v1/medcat-trainer/install.sh
@@ -0,0 +1,31 @@
+#!/bin/sh
+
+CURR_LOC=$(pwd)
+mkdir -p /tmp/mc_trainer/envs
+cd /tmp/mc_trainer
+DOCKER_COMP_FILE=dc.yml
+ENV_FILE=/tmp/mc_trainer/envs/env
+
+echo "Downloading docker-compose.yml and default env vars"
+curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/docker-compose.yml > $DOCKER_COMP_FILE
+curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/envs/env > $ENV_FILE
+trap 'rm -rf /tmp/mc_trainer && cd $CURR_LOC' EXIT
+
+echo "Starting MedCATtrainer containers"
+#ls -l
+nohup docker-compose -f $DOCKER_COMP_FILE up &>/dev/null &
+while true;
+do
+  sleep 5
+  IS_READY=$(curl http://localhost:8001 -w "%{http_code}" -Isl | head -n1 | cut -d ' ' -f2)
+  if [ "$IS_READY" = "200" ]; then
+    break
+  else
+    echo "Loading..."
+    docker-compose -f $DOCKER_COMP_FILE logs
+  fi
+done
+echo \
+"\n---------------------------------------------------------\n"\
+"---- MedCATtrainer running on http://localhost:8001/ ----\n"\
+"---------------------------------------------------------\n"
\ No newline at end of file
diff --git a/v1/medcat-trainer/nginx/nginx.conf b/v1/medcat-trainer/nginx/nginx.conf
new file mode 100644
index 000000000..1c8256a49
--- /dev/null
+++ b/v1/medcat-trainer/nginx/nginx.conf
@@ -0,0 +1,135 @@
+# Configuration File - Nginx Server Configs
+# http://nginx.org/en/docs/dirindex.html
+
+# Sets the worker threads to the number of CPU cores available in the system for best performance.
+# Should be > the number of CPU cores.
+# Maximum number of connections = worker_processes * worker_connections
+worker_processes auto;
+
+# Maximum number of open files per worker process.
+# Should be > worker_connections.
+worker_rlimit_nofile 8192;
+
+events {
+  # If you need more connections than this, you start optimizing your OS.
+  # That's probably the point at which you hire people who are smarter than you as this is *a lot* of requests.
+  # Should be < worker_rlimit_nofile.
+  worker_connections 8005;
+}
+
+# Log errors and warnings to this file
+# This is only used when you don't override it on a server{} level
+#error_log  logs/error.log warn;
+
+# The file storing the process ID of the main process
+pid        /var/run/nginx.pid;
+
+http {
+
+  # Hide nginx version information.
+  server_tokens off;
+
+  # Specify MIME types for files.
+  include       mime.types;
+  default_type  application/octet-stream;
+
+  # Update charset_types to match updated mime.types.
+  # text/html is always included by charset module.
+  charset_types text/css text/plain text/vnd.wap.wml application/javascript application/json application/rss+xml application/xml;
+
+  # Include $http_x_forwarded_for within default format used in log files
+  log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
+                    '$status $body_bytes_sent "$http_referer" '
+                    '"$http_user_agent" "$http_x_forwarded_for"';
+
+  # Log access to this file
+  # This is only used when you don't override it on a server{} level
+  #access_log logs/access.log main;
+
+  # How long to allow each connection to stay idle.
+  # Longer values are better for each individual client, particularly for SSL,
+  # but means that worker connections are tied up longer.
+  keepalive_timeout 3000s;
+  
+  # Timeouts
+  proxy_connect_timeout       3000;
+  proxy_send_timeout          3000;
+  proxy_read_timeout          3000;
+  send_timeout                3000;
+
+  # increase client body size - Model packs can be over 3G.s
+  client_max_body_size 4000M;
+  # Speed up file transfers by using sendfile() to copy directly
+  # between descriptors rather than using read()/write().
+  # For performance reasons, on FreeBSD systems w/ ZFS
+  # this option should be disabled as ZFS's ARC caches
+  # frequently used files in RAM by default.
+  sendfile        on;
+
+  # Don't send out partial frames; this increases throughput
+  # since TCP frames are filled up before being sent out.
+  tcp_nopush      on;
+
+  # Enable gzip compression.
+  gzip on;
+
+  # Compression level (1-9).
+  # 5 is a perfect compromise between size and CPU usage, offering about
+  # 75% reduction for most ASCII files (almost identical to level 9).
+  gzip_comp_level    5;
+
+  # Don't compress anything that's already small and unlikely to shrink much
+  # if at all (the default is 20 bytes, which is bad as that usually leads to
+  # larger files after gzipping).
+  gzip_min_length    256;
+
+  # Compress data even for clients that are connecting to us via proxies,
+  # identified by the "Via" header (required for CloudFront).
+  gzip_proxied       any;
+
+  # Tell proxies to cache both the gzipped and regular version of a resource
+  # whenever the client's Accept-Encoding capabilities header varies;
+  # Avoids the issue where a non-gzip capable client (which is extremely rare
+  # today) would display gibberish if their proxy gave them the gzipped version.
+  gzip_vary          on;
+
+  # Compress all output labeled with one of the following MIME-types.
+  gzip_types
+    application/atom+xml
+    application/javascript
+    application/json
+    application/ld+json
+    application/manifest+json
+    application/rss+xml
+    application/vnd.geo+json
+    application/vnd.ms-fontobject
+    application/x-font-ttf
+    application/x-web-app-manifest+json
+    application/xhtml+xml
+    application/xml
+    font/opentype
+    image/bmp
+    image/svg+xml
+    image/x-icon
+    text/cache-manifest
+    text/css
+    text/plain
+    text/vcard
+    text/vnd.rim.location.xloc
+    text/vtt
+    text/x-component
+    text/x-cross-domain-policy;
+  # text/html is always compressed by gzip module
+
+  # This should be turned on if you are going to have pre-compressed copies (.gz) of
+  # static files available. If not it should be left off as it will cause extra I/O
+  # for the check. It is best if you enable this in a location{} block for
+  # a specific directory, or on an individual server{} level.
+  # gzip_static on;
+
+  # Include files in the sites-enabled folder. server{} configuration files should be
+  # placed in the sites-available folder, and then the configuration should be enabled
+  # by creating a symlink to it in the sites-enabled folder.
+  # See doc/sites-enabled.md for more info.
+  include sites-enabled/*;
+}
diff --git a/v1/medcat-trainer/nginx/sites-enabled/medcattrainer b/v1/medcat-trainer/nginx/sites-enabled/medcattrainer
new file mode 100644
index 000000000..88b4c817f
--- /dev/null
+++ b/v1/medcat-trainer/nginx/sites-enabled/medcattrainer
@@ -0,0 +1,30 @@
+server {
+    listen 8000;
+    server_name localhost;
+    charset utf-8;
+    large_client_header_buffers 4 32k;
+
+    location /static {
+        alias /home/api/static;
+    }
+
+    location /media {
+        alias /home/api/media;
+    }
+
+    location /api/concepts/ {
+        proxy_pass http://mct_solr:8983/solr/;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    }
+
+    location / {
+        proxy_pass http://medcattrainer:8000;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    }
+
+}
+
diff --git a/v1/medcat-trainer/notebook_docs/API_Examples.ipynb b/v1/medcat-trainer/notebook_docs/API_Examples.ipynb
new file mode 100644
index 000000000..22dcd3beb
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/API_Examples.ipynb
@@ -0,0 +1,573 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MedCATTrainer API Examples\n",
+    "The following notebook details the how to programmatically upload data, permission users, and create projects to setup users for large distributed annotation projects.\n",
+    "- Create Datasets in MedCATTrainer\n",
+    "- Create CDB and Vocab MedCAT models in MedCATTrainer\n",
+    "- Create Projects in MedCATTainer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "URL = 'http://localhost:8001' # Should be set to your running deployment, IP / PORT if not running on localhost:8001"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sample Dataset\n",
+    "Sample data from [MT-Samples](https://www.mtsamples.com/), a subset of this dataset is available here under example_data/*.csv\n",
+    "\n",
+    "We'll be working with 3 datasets, the below guide works with 3 datasets, but can use function with 100s if needed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ortho_notes = pd.read_csv('example_data/ortho.csv')\n",
+    "neuro_notes = pd.read_csv('example_data/neuro.csv')\n",
+    "cardio_notes = pd.read_csv('example_data/cardio.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Accessing the MedCATTrainer API\n",
+    "API access is via a username / password. Upon login the API auth endpoint provides an auth token that must be used for all following requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Authorization': 'Token dece457ae382482d9edc999fdbf37dd39ea2893c'}"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "payload = {\"username\": \"test\", \"password\": \"foobar312$\"}\n",
+    "headers = {\n",
+    "    'Authorization': f'Token {json.loads(requests.post(\"http://localhost:8001/api/api-token-auth/\", json=payload).text)[\"token\"]}',\n",
+    "}\n",
+    "headers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Resource APIs \n",
+    "The MedCAT API, follows a RESTful architecture. Objects created, updated, deleted under their respective resource path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'users': 'http://localhost:8001/api/users/',\n",
+       " 'entities': 'http://localhost:8001/api/entities/',\n",
+       " 'project-annotate-entities': 'http://localhost:8001/api/project-annotate-entities/',\n",
+       " 'project-groups': 'http://localhost:8001/api/project-groups/',\n",
+       " 'documents': 'http://localhost:8001/api/documents/',\n",
+       " 'annotated-entities': 'http://localhost:8001/api/annotated-entities/',\n",
+       " 'meta-annotations': 'http://localhost:8001/api/meta-annotations/',\n",
+       " 'meta-tasks': 'http://localhost:8001/api/meta-tasks/',\n",
+       " 'meta-task-values': 'http://localhost:8001/api/meta-task-values/',\n",
+       " 'relations': 'http://localhost:8001/api/relations/',\n",
+       " 'entity-relations': 'http://localhost:8001/api/entity-relations/',\n",
+       " 'concept-dbs': 'http://localhost:8001/api/concept-dbs/',\n",
+       " 'vocabs': 'http://localhost:8001/api/vocabs/',\n",
+       " 'datasets': 'http://localhost:8001/api/datasets/'}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "json.loads(requests.get(f'{URL}/api/', headers=headers).text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create Datasets\n",
+    "A MedCATTrainer 'Dataset' is a set of documents that is uploaded into the trainer and used for one or more, annotation projects. \n",
+    "The trainer interface accepts CSV / XLSX files, files have 2 columns namely, **name** and **text**. \n",
+    "\n",
+    "An example DataFrame for this format are shown below. \n",
+    "\n",
+    "The below API can be used to upload and create multiple datasets, one for each example DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrame' object has no attribute 'subject_id'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m/tmp/ipykernel_10318/6590849.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Add a name column to the other datasets\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mneuro_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mneuro_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mcardio_notes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcardio_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubject_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34mf'Subject {l}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mortho_notes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'text'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/cattrainer/lib/python3.11/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   6200\u001b[0m             \u001b[0;32mand\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_accessors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6201\u001b[0m             \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6202\u001b[0m         ):\n\u001b[1;32m   6203\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6204\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'subject_id'"
+     ]
+    }
+   ],
+   "source": [
+    "# Add a name column to the other datasets\n",
+    "ortho_notes['name'] = ortho_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "neuro_notes['name'] = neuro_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "cardio_notes['name'] = cardio_notes.subject_id.apply(lambda l: f'Subject {l}')\n",
+    "ortho_notes.loc[:, ['name', 'text']].head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Collate datasets, with Names\n",
+    "datasets = [('Neuro Notes', neuro_notes), ('Cardio Notes', cardio_notes), ('Ortho Notes', ortho_notes)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# POST dataset API with list of datasets\n",
+    "dataset_ids = []\n",
+    "for name, d_s in datasets:\n",
+    "    payload = {\n",
+    "        'dataset_name': name,   # Name that appears in each\n",
+    "        'dataset': d_s.loc[:, ['name', 'text']].to_dict(),  #  Dictionary representation of only  \n",
+    "        'description': f'{name} first 20 notes from each category' # Description that appears in the trainer\n",
+    "    }\n",
+    "    resp = requests.post(f'{URL}/api/create-dataset/', json=payload, headers=headers)\n",
+    "    dataset_ids.append(json.loads(resp.text)['dataset_id']) \n",
+    "# New datasets created in the trainer have the following IDs\n",
+    "dataset_ids"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create CDBs and Vocabularies\n",
+    "The MedCAT models used by MedCATTrainer are output by MedCAT instances of classesmedcat.cdb.CDB, medcat.utils.vocab.Vocabulary. Calling save_dict('\\<file location\\>') will write a file that can be loaded in another instance of MedCAT (via load_dict()), or within MedCATTrainer.\n",
+    "\n",
+    "Examples models are provided on the MedCAT Repository: https://github.com/CogStack/cogstack-nlp/tree/main/v1/medcat"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Upload a CDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "total 4020900\n",
+      "drwxrwxr-x 6 cerberus cerberus      4096 Jan 17  2024 20230227__kch_gstt_trained_model_494c3717f637bb89\n",
+      "-rw-rw-r-- 1 cerberus cerberus 954511008 Jan 17  2024 20230227__kch_gstt_trained_model_494c3717f637bb89.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus 392429568 Jan  5  2024 cdb.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus 607359360 Jun  7  2023 cdb-medmen.dat\n",
+      "drwxrwxr-x 4 cerberus cerberus      4096 Feb  8  2024 deid_medcat_n2c2_modelpack\n",
+      "-rw-r--r-- 1 cerberus cerberus 487520245 Feb  8  2024 deid_medcat_n2c2_modelpack.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus    181988 Jan  5  2024 icd_11_cbd_utf8.dat\n",
+      "drwxrwxr-x 6 cerberus cerberus      4096 Feb 22  2024 medcat_model_pack_v1.4.0\n",
+      "-rw-rw-r-- 1 cerberus cerberus 841304525 Jan  5  2024 medcat_model_pack_v1.4.0.zip\n",
+      "-rw-r--r-- 1 cerberus cerberus       223 Jan  5  2024 pain_custom_cdb.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus     25599 Jan  5  2024 pain_term.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus    772635 Jan  5  2024 rxnorm_analgesic_cbd_utf8.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus    362697 Jan  5  2024 rxnorm_analgesic_cbd_utf8_Y2VYjZO.dat\n",
+      "-rw-r--r-- 1 cerberus cerberus 832849835 Jan  5  2024 rxnorm_cdb.dat\n",
+      "-rw-rw-r-- 1 cerberus cerberus     21316 Aug 22 16:43 Untitled.ipynb\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls -l ../../medcat-models/cdb-medmen.dat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from medcat.cdb import CDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<medcat.cdb.CDB at 0x704e66be4050>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CDB.load('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.post(f'{URL}/api/concept-dbs/', headers=headers, \n",
+    "                               data={'name': 'example_cdb', 'use_for_training': True}, \n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 21,\n",
+       " 'name': 'example_cdb',\n",
+       " 'cdb_file': 'http://localhost:8001/media/cdb_HjbPPUI.dat',\n",
+       " 'use_for_training': True,\n",
+       " 'create_time': '2024-09-20T21:07:03.062580Z',\n",
+       " 'last_modified': '2024-09-20T21:07:03.062610Z',\n",
+       " 'last_modified_by': 1}"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "txt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.put(f'{URL}/api/concept-dbs/21/', headers=headers, \n",
+    "                               data={'name': 'example_cdb-EDITED', 'use_for_training': True}, \n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 21,\n",
+       " 'name': 'example_cdb',\n",
+       " 'cdb_file': 'http://localhost:8001/media/cdb_HjbPPUI.dat',\n",
+       " 'use_for_training': True,\n",
+       " 'create_time': '2024-09-20T21:07:03.062580Z',\n",
+       " 'last_modified': '2024-09-20T21:07:03.062610Z',\n",
+       " 'last_modified_by': 1}"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "requests.post(f'{URL}/api/concept-dbs/', headers=headers, \n",
+    "                               data={'name': 'example_cdb', 'use_for_training': True}, \n",
+    "                               files={'cdb_file': open('../../medcat-models/deid_medcat_n2c2_modelpack/cdb.dat', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Upload a Vocabulary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "txt = json.loads(requests.post(f'{URL}/api/vocab/', headers=headers, \n",
+    "                               files={'cdb_file': open('<<LOCATION OF vocab>>', 'rb')}).text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Projects\n",
+    "'Projects' are individual annotaion projects that can broadly be used to:\n",
+    "- Improve an existing MedCAT model, by providing feedback (correct, incorrect) on MedCAT annotations, providing more synonyms, abbreviations etc for exsiting concepts or even new concepts entirely, if the current CDB does not capture possible concepts, and re-train the MedCAT model between each document.\n",
+    "- Inspect existing annotations of a MedCAT model and only collect annotations.\n",
+    "\n",
+    "**Each new project is 'wired' up with exsiting users, models and datasets via their respective IDs. You should have already setup: User(s) a Concept Database and Vocabulary via the admin page http://{deployment_url}/admin/auth/user/.**\n",
+    "\n",
+    "<!-- ![Admin Page](imgs/admin_page.png) -->\n",
+    "<div>\n",
+    "<img src=\"./../docs/_static/img/admin_page.png\" width=\"350px\"/>\n",
+    "</div>\n",
+    "\n",
+    "Once you've created each object via the /admin/ page, return here to collect Users IDs and the MedCAT models IDs."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### User Permissions\n",
+    "First create user accounts \n",
+    "\n",
+    "Collect user IDs via that you want to permission for the new projects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "resp = json.loads(requests.get(f'{URL}/api/users/', headers=headers).text)['results']\n",
+    "pprint(resp)\n",
+    "users_ids = [u['id'] for u in resp]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### MedCAT Models\n",
+    "Each project is configured with a MedCAT Concept Database (CDB), and Vocabulary (Vocab). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_cdbs = json.loads(requests.get(f'{URL}/api/concept-dbs/', headers=headers).text)['results']\n",
+    "# the CDB ID we'll use for this example\n",
+    "cdb_to_use = all_cdbs[0]['id']\n",
+    "# you might have many CDBs here. First 2 cdbs: \n",
+    "all_cdbs[0:2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You'll probably only have one vocabulary\n",
+    "all_vocabs = json.loads(requests.get(f'{URL}/api/vocabs/', headers=headers).text)['results']\n",
+    "vocab_to_use = all_vocabs[0]['id']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Project Creation\n",
+    "We'll create 3 projects, one for each dataset, with both users able to access all projects. \n",
+    "\n",
+    "We'll leave the CUI and TUI filters blank, allowing for all concepts to appear for all these projects. \n",
+    "\n",
+    "|Parameter|Description|\n",
+    "|---------|-----------|\n",
+    "|name|# Name of the project that appears on the landing page|\n",
+    "|description| Example projects', # Description as it appears on the landing page|\n",
+    "|cuis       | Comma  separated list if needed |\n",
+    "|type_ids   | A comma separated list of Type IDs. Type IDs are logical groupings of CUIs such as 'disease', or 'symptom'|\n",
+    "|dataset    | The set of documents to be annotated|\n",
+    "|concept_db | Previously retrieved CDB ID  |\n",
+    "|cdb_search_filter|**list** of CDB IDs that are used to lookup concepts during addition of annotations to a document| \n",
+    "|vocab      | Previously retrieved vocab ID|\n",
+    "|members    | **list** of users for the project |"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_names = [d_n for d_n, d in datasets]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_ids = []\n",
+    "for d_id, p_name in zip(dataset_ids, project_names):\n",
+    "    payload = {\n",
+    "        'name': f'{p_name} Annotation Project',\n",
+    "        'description': 'Example projects', \n",
+    "        'cuis': '', \n",
+    "        'tuis': '',\n",
+    "        'dataset': d_id,\n",
+    "        'concept_db': cdb_to_use, \n",
+    "        'vocab': vocab_to_use, \n",
+    "        'members': users_ids\n",
+    "    }\n",
+    "    project_ids.append(json.loads(requests.post(f'{URL}/api/project-annotate-entities/', json=payload, headers=headers).text))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Newly created projects are now available for the assigned users. Given this above method many projects for specific conditions can created, configured and permissioned in seconds\n",
+    "\n",
+    "![](../docs/_static/img/new_projects.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/v1/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb b/v1/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb
new file mode 100644
index 000000000..5f4adc384
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb
@@ -0,0 +1,267 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from glob import glob\n",
+    "import pandas as pd\n",
+    "from collections import defaultdict\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate a CUI List for a Given 'Parent' Concept\n",
+    "- all Children of 'cardiac finding', SCTID: 106063007\n",
+    "- For medcat v0.x and medcat v1.x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Relation file from SNOMED-CT Preprocessing tutorial: https://github.com/CogStack/cogstack-nlp/blob/main/v1/medcat-tutorials/notebooks/specialised/Preprocessing_SNOMED_CT.ipynb, \n",
+    "\n",
+    "In section \"SNOMED Relationships\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rels = json.load(open('isa_rela_ch2pt_20200228.txt'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove the S- if exists\n",
+    "rels = {k[2:]: [v_i[2:] for v_i in v] for k,v in rels.items()}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node():\n",
+    "    def __init__(self, sctid, name):\n",
+    "        self.sctid = sctid\n",
+    "        self.name = name\n",
+    "        self.parents = {}\n",
+    "        self.children = {}\n",
+    "    \n",
+    "    def __repr__(self):\n",
+    "        parents_str = \"\\n\\t\".join(f\"{p.sctid}:{p.name}\" for p in self.parents.values())\n",
+    "        children_str = \"\\n\\t\".join([f\"{c.sctid}:{c.name}\" for c in self.children.values()])\n",
+    "        return f'{self.sctid}: {self.name}\\n' +\\\n",
+    "            f'Parents:\\n\\t{parents_str}\\n' +\\\n",
+    "            f'Children:\\n\\t{children_str}\\n' "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def all_children(node: Node):\n",
+    "    def collect(nodes, collected_nodes):\n",
+    "        for n in nodes:\n",
+    "            collected_nodes.append(n)\n",
+    "            if len(n.children.values()) > 0:\n",
+    "                collected_nodes.extend(collect(n.children.values(), []))\n",
+    "        return collected_nodes\n",
+    "        \n",
+    "    all_children = []\n",
+    "    collect(node.children.values(), all_children)\n",
+    "    return all_children"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "valid_rels = {k:v for k,v in rels.items() if k in cdb.cui2preferred_name}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_nodes = {}\n",
+    "def set_rels(node, parent_ids):\n",
+    "    for p_id in parent_ids:\n",
+    "        if p_id in all_nodes:\n",
+    "            parent_node = all_nodes[p_id]\n",
+    "            node.parents[parent_node.sctid] = parent_node\n",
+    "            parent_node.children[node.sctid] = node\n",
+    "        else:\n",
+    "            if p_id not in cdb.cui2preferred_name:\n",
+    "                continue\n",
+    "            parent_node = Node(p_id, cdb.cui2preferred_name[p_id])\n",
+    "            node.parents[parent_node.sctid] = parent_node\n",
+    "            all_nodes[parent_node.sctid] = parent_node\n",
+    "            parent_node.children[node.sctid] = node\n",
+    "        if parent_node.sctid in valid_rels:\n",
+    "            set_rels(parent_node, valid_rels[parent_node.sctid])\n",
+    "    \n",
+    "for sctid, name in cdb.cui2preferred_name.items():\n",
+    "    n = all_nodes.get(sctid, Node(sctid, name))\n",
+    "    all_nodes[sctid] = n\n",
+    "    # add parents / children\n",
+    "    if sctid in valid_rels:\n",
+    "        set_rels(n, valid_rels[sctid])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Disorder of cardiovascular system (disorder) SCTID: 49601007\n",
+    "chlds = all_children(all_nodes['49601007'])\n",
+    "disorder_sctids = [c.sctid for c in set(chlds)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chlds = all_children(all_nodes['301095005'])\n",
+    "finding_sctids = [c.sctid for c in set(chlds)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_ids = set(disorder_sctids) | set(finding_sctids)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# mcv1_ids = [v[2:] for v in all_ids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "739788"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(cdb.cui2names)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json.dump(list(mcv1_ids), open('cardio_disorder_finding_sctids_mcv1.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json.dump(list(all_ids), open('cardio_disorder_finding_sctids.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sctids = json.load(open('cardio_disorder_finding_sctids.json'))\n",
+    "pretty_names = [cdb.cui2pretty_name[s_id] for s_id in sctids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "snomed_browser_links = [f'https://termbrowser.nhs.uk/?perspective=full&conceptId1={sct_id.replace(\"S-\", \"\")}&edition=uk-edition&release=v20210317&server=' +\n",
+    "                        'https://termbrowser.nhs.uk/sct-browser-api/snomed&langRefset=999001261000000100,999000691000001104' for sct_id in sctids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame({'SCTIDs': sctids, 'Concept Name': pretty_names, 'Browser Link': snomed_browser_links}).to_csv('cardio_disorder_concepts.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/v1/medcat-trainer/notebook_docs/Processing_Annotations.ipynb b/v1/medcat-trainer/notebook_docs/Processing_Annotations.ipynb
new file mode 100644
index 000000000..4ef56ec1d
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/Processing_Annotations.ipynb
@@ -0,0 +1,808 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MedCATtrainer Annotations\n",
+    "A notebook to demonstrate:\n",
+    "- How to download (aka export) annotations from the trainer. These downloads can also be used as export / transfer / backup option for MCTrainer.\n",
+    "- The MedCATTrainer downloaded annotations schema. Both w/ and w/o text have the same format, except from the source text. \n",
+    "- How to re-upload exported annotatinos into 'new' projects, this could be for recovery, or importing to a new Trainer deployment."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Downloading Annotations\n",
+    "This covers API driven downloading, and is also accessible from \\<hostname\\>:\\<port\\>/admin/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "URL = 'http://localhost:8001' # Should be set to your running deployment, IP / PORT if not running on localhost:8001"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Authorization': 'Token cc3e60dd2cc4231f7f74d1f30d35ce31d3154f7c'}"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# API access is via a username / password. Upon login the API auth endpoint provides an auth token that must be used for all following requests.\n",
+    "payload = {\"username\": \"admin\", \"password\": \"admin\"}\n",
+    "headers = {\n",
+    "    'Authorization': f'Token {json.loads(requests.post(\"http://localhost:8001/api/api-token-auth/\", json=payload).text)[\"token\"]}',\n",
+    "}\n",
+    "headers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# get project IDs to download\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# projects to download\n",
+    "projects_to_download = ','.join(str(r['id']) for r in resp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# further parameters available here are:\n",
+    "# - with_text: Boolean: to download the annotations with the source document text. This will automatically include the doc_name. Default: False\n",
+    "# - with_doc_name: Boolean: if with_text is False, but you still want to include doc names. Default: False\n",
+    "\n",
+    "resp = json.loads(requests.get(f'{URL}/api/download-annos/?project_ids={projects_to_download}&with_text=True', headers=headers).text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# dump the output to a file.\n",
+    "json.dump(resp, open('trainer_export.json', 'w'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Processing MedCATTrainer Annotations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the annotations downloaded - as described: https://docs.cogstack.org/projects/medcat-trainer/en/latest/project_admin.html#downloading-annotations\n",
+    "projs = json.load(open('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json'))['projects']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Projects annotated:2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Number of annotation projects downloaded\n",
+    "print(f'Projects annotated:{len(projs)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys(['name', 'id', 'cuis', 'tuis', 'documents'])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# select first project\n",
+    "proj = projs[0]\n",
+    "# project level cui / tui filters are top level dict keys\n",
+    "proj.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "# of Documents: 2\n",
+      "# of Annotations: 47\n",
+      "# Validated Annotations: 47\n",
+      "# Correct Annotations: 32\n",
+      "# Correct Annotations: 15\n",
+      "# Correct Annotations: 0\n",
+      "# Correct Annotations: 0\n",
+      "# Correct Annotations: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Annotations are found inside each document.\n",
+    "print(f'# of Documents: {len(proj[\"documents\"])}')\n",
+    "print(f'# of Annotations: {sum([len(d[\"annotations\"]) for d in proj[\"documents\"]])}')\n",
+    "\n",
+    "# Annotations that have been marked by a human annotator\n",
+    "print(f'# Validated Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"validated\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked correct - (blue)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"correct\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked incorrect  - (red)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"deleted\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked terminated - (dark red)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"killed\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been marked alternative - (turquoise)\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"alternative\"] == True])}')\n",
+    "\n",
+    "# Annotations that have been manually created via right-click - 'Add Annotation', these will also be 'correct' == True\n",
+    "print(f'# Correct Annotations: {len([a for d in proj[\"documents\"] for a in d[\"annotations\"] if a[\"manually_created\"] == True])}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Meta Annotations \n",
+    "Each Meta Annotation will have the names of the task and associated values you've previously selected.\n",
+    "In this case we have: 'Negation' and 'Skip'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Correct Annotations that are Correct and Meta Annotation Temporarilty - Present, Experiencer - Patient"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Negation': {'name': 'Negation',\n",
+       "  'value': 'No',\n",
+       "  'acc': 1.0,\n",
+       "  'validated': True},\n",
+       " 'Skip': {'name': 'Skip', 'value': 'Yes', 'acc': 1.0, 'validated': True}}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proj['documents'][1]['annotations'][2]['meta_anns']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>doc_name</th>\n",
+       "      <th>anno_value</th>\n",
+       "      <th>cui</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>psychopathology</td>\n",
+       "      <td>C0004936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>constipated</td>\n",
+       "      <td>C0009806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>depression</td>\n",
+       "      <td>C0011570</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>depression</td>\n",
+       "      <td>C0011570</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Psych Text 1</td>\n",
+       "      <td>fatigued</td>\n",
+       "      <td>C0015672</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       doc_name       anno_value       cui\n",
+       "0  Psych Text 1  psychopathology  C0004936\n",
+       "1  Psych Text 1      constipated  C0009806\n",
+       "2  Psych Text 1       depression  C0011570\n",
+       "3  Psych Text 1       depression  C0011570\n",
+       "4  Psych Text 1         fatigued  C0015672"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "annos = []\n",
+    "for doc in proj['documents']:\n",
+    "    for a in doc['annotations']:\n",
+    "        meta_anns = a['meta_anns']\n",
+    "        if a['correct'] == True and len(meta_anns) != 0:\n",
+    "            # meta_anns are a list of dictionaries, each dict is a meta annotation. Order is not neccessarily consistent\n",
+    "            negation = meta_anns['Negation']\n",
+    "            skip = meta_anns['Skip']\n",
+    "            if negation['value'] == 'No' and skip['value'] == 'Yes':\n",
+    "                # pull out the doc_name, the text span value, and the concept\n",
+    "                annos.append({'doc_name': doc['name'], 'anno_value': a['value'], 'cui': a['cui']})\n",
+    "# make DataFrame\n",
+    "df = pd.DataFrame(annos)\n",
+    "df.head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparing a Second (or More) set of Annotations\n",
+    "Often we'll dual annotate projects and compute metrics to develop a gold standard.\n",
+    "- We'll compute metrics such [Inter Annotator Agreement (IIA)](https://en.wikipedia.org/wiki/Inter-rater_reliability) and [Cohen's Kappa](https://en.wikipedia.org/wiki/Cohen%27s_kappa).\n",
+    "- Metrics can be output for each concept for the concept recognition+linking tasks.\n",
+    "- For tasks with only a handful of concept filters we can compute the meta annotation task agreement, but often we will not have enough annotatinos for any meaningful. Instead we can group all meta annotations together to compute scores."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import cohen_kappa_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 46102,\n",
+       " 'user': 'admin',\n",
+       " 'cui': 'C1656589',\n",
+       " 'value': 'oppositional defiant disorder',\n",
+       " 'start': 9593,\n",
+       " 'end': 9622,\n",
+       " 'validated': True,\n",
+       " 'correct': False,\n",
+       " 'deleted': True,\n",
+       " 'alternative': False,\n",
+       " 'killed': False,\n",
+       " 'last_modified': '2020-05-22 10:33:23.830587+00:00',\n",
+       " 'manually_created': False,\n",
+       " 'acc': 0.392611944253081,\n",
+       " 'meta_anns': {}}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "proj['documents'][0]['annotations'][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def anno_state(anno):\n",
+    "    if anno['deleted']:\n",
+    "        return 'del'\n",
+    "    if anno['alternative']:\n",
+    "        return 'alt'\n",
+    "    if anno['killed']:\n",
+    "        return 'kil'\n",
+    "    if anno['manually_created']:\n",
+    "        return 'man'\n",
+    "    return 'cor'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Concept Recognition + Linking Agreement per CUI across 2 projects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# only take documents completed by both\n",
+    "shared_docs = set([d['id'] for d in projs[0]['documents']]) & set([d['id'] for d in projs[1]['documents']])\n",
+    "projs[0]['documents'] = [d for d in projs[0]['documents'] if d['id'] in shared_docs]\n",
+    "projs[1]['documents'] = [d for d in projs[1]['documents'] if d['id'] in shared_docs]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project 1 annos\n",
+    "proj1_annos_cuis = {f'{d[\"id\"]}:{a[\"start\"]}': a['cui'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "proj1_annos_states = {f'{d[\"id\"]}:{a[\"start\"]}': anno_state(a) for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "# project 2 annos\n",
+    "proj2_annos_cuis = {f'{d[\"id\"]}:{a[\"start\"]}': a['cui'] for d in projs[1]['documents'] for a in d['annotations']}\n",
+    "proj2_annos_states = {f'{d[\"id\"]}:{a[\"start\"]}': anno_state(a) for d in projs[1]['documents'] for a in d['annotations']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_cuis = set(proj1_annos_cuis.values()) | set(proj2_annos_cuis.values())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cui_ck = {}\n",
+    "for cui in all_cuis:\n",
+    "    cui_tuples = []\n",
+    "    p1 = {k:v for k,v in proj1_annos_cuis.items() if v == cui}\n",
+    "    p2 = {k:v for k,v in proj2_annos_cuis.items() if v == cui}\n",
+    "    for anno_key in set(p1.keys()) | set(p2.keys()):\n",
+    "        cui_tuples.append((proj1_annos_states.get(anno_key, 'na'), proj2_annos_states.get(anno_key, 'na')))\n",
+    "    cui_ck[cui] = cui_tuples"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## IIA Per CUI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iia_per_cui = {cui: (len([i for i in v if i[0] == i[1]]) / len(v)) * 100 for cui, v in cui_ck.items()}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Cohen's Kappa Per CUI\n",
+    "Note: for cuis with only one label it can be "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages/sklearn/metrics/_classification.py:620: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)\n"
+     ]
+    }
+   ],
+   "source": [
+    "cohens_kappa_per_cui = {k: cohen_kappa_score([i[0] for i in v], [i[1] for i in v]) for k,v in cui_ck.items()}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Meta Annotation\n",
+    "- Group all annos together for each task and compute IIA, CK"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project 1 meta annos\n",
+    "proj1_meta_annos_neg = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Negation', {'value': 'na'})['value'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "proj1_meta_annos_skip = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Skip', {'value': 'na'})['value'] for d in projs[0]['documents'] for a in d['annotations']}\n",
+    "# project 2 meta annos\n",
+    "proj2_meta_annos_neg = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Negation', {'value': 'na'})['value'] for d in projs[1]['documents'] for a in d['annotations']}\n",
+    "proj2_meta_annos_skip = {f'{d[\"id\"]}:{a[\"start\"]}': a['meta_anns'].get('Skip', {'value': 'na'})['value'] for d in projs[1]['documents'] for a in d['annotations']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove na examples, these would be incorret or terminated exampels that have no meta anno value.\n",
+    "def remove_na(meta_annos_dict):\n",
+    "    return {k:v for k,v in meta_annos_dict.items() if v != 'na'}\n",
+    "proj1_meta_annos_neg = remove_na(proj1_meta_annos_neg)\n",
+    "proj1_meta_annos_skip = remove_na(proj1_meta_annos_skip)\n",
+    "proj2_meta_annos_neg = remove_na(proj2_meta_annos_neg)\n",
+    "proj2_meta_annos_skip = remove_na(proj2_meta_annos_skip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Take meta annos from each project and combine across projects,\n",
+    "# - A more strict measure: defaulting to 'na' if there is no appropriate meta anno in the 'other' project, to use this one swap '&' (intersection) with \"|\" a union.\n",
+    "# - A more fair measure: removing the instance where there was no meta anno in the other project. We use this one below.\n",
+    "neg_annos = []\n",
+    "for anno_key in set(proj1_meta_annos_neg.keys()) & set(proj2_meta_annos_neg.keys()):\n",
+    "    neg_annos.append((proj1_meta_annos_neg.get(anno_key, 'na'), proj2_meta_annos_neg.get(anno_key, 'na')))\n",
+    "\n",
+    "skip_annos = []\n",
+    "for anno_key in set(proj1_meta_annos_skip.keys()) & set(proj2_meta_annos_skip.keys()):\n",
+    "    skip_annos.append(((proj1_meta_annos_skip.get(anno_key, 'na')), proj2_meta_annos_skip.get(anno_key, 'na')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "iia neg: 100.0\n",
+      "iia skip: 100.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "iia_neg = (len([a for a in neg_annos if a[0] == a[1]]) / len(neg_annos)) * 100\n",
+    "print('iia neg:', iia_neg)\n",
+    "iia_skip = (len([a for a in skip_annos if a[0] == a[1]]) / len(skip_annos)) * 100\n",
+    "print('iia skip:', iia_skip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cohen's kappa neg: nan\n",
+      "cohen's kappa skip: nan\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/tom/anaconda3/envs/cattrainer/lib/python3.7/site-packages/sklearn/metrics/_classification.py:604: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)\n"
+     ]
+    }
+   ],
+   "source": [
+    "ck_neg = cohen_kappa_score([v[0] for v in neg_annos], [v[1] for v in neg_annos])\n",
+    "print(\"cohen's kappa neg:\", ck_neg)\n",
+    "ck_skip = cohen_kappa_score([v[0] for v in skip_annos], [v[1] for v in skip_annos])\n",
+    "print(\"cohen's kappa skip:\", ck_skip)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have 'nan's here as there are no other values exist in the intersection of values so cohen's kappa is undefined. We can report 100% IIA though!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Uploading Annotations\n",
+    "This is useful if annotations have been exported, and need to be systematically modified or if a new instance of Trainer is required to be used for further annotations\n",
+    "\n",
+    "This will use the previously exported trainer download"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_data = json.load(open('trainer_export.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# filter out project data that is empty"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_data['projects'] = [p for p in project_data['projects'] if len(p['documents']) > 0 ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# current projects projects\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# upload previoulsy exported projects\n",
+    "resp = requests.post(f'{URL}/api/upload-deployment/', json=project_data).text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\"successfully uploaded\"\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(resp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'id': 68,\n",
+      "  'name': 'Top level Concept Annos (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 69,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone)'},\n",
+      " {'id': 70,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone)'},\n",
+      " {'id': 71, 'name': 'Example Annotation Project - SNOMED CT All (Clone)'},\n",
+      " {'id': 81,\n",
+      "  'name': 'Chevron test - UMLS (Diseases / Symptoms / Findings) (Clone) '\n",
+      "          'IMPORTED'},\n",
+      " {'id': 82,\n",
+      "  'name': 'Example Annotation Project - UMLS (Diseases / Symptoms / Findings) '\n",
+      "          '(Clone) IMPORTED'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# to show the newly uploaded projects\n",
+    "resp = json.loads(requests.get(f'{URL}/api/project-annotate-entities/', headers=headers).text)['results']\n",
+    "pprint([{'id': r['id'], 'name': r['name']} for r in resp])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/v1/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb b/v1/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb
new file mode 100644
index 000000000..c89e352a5
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/Train_MedCAT_Models.ipynb
@@ -0,0 +1,1724 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Given a MedCATtrainer Export\n",
+    "- We can re-train, cross validate and save down a new MedCAT model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:17.606576Z",
+     "start_time": "2020-09-08T11:27:17.585786Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: medcat in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (0.3.8.0)\n",
+      "Requirement already satisfied: scipy~=1.4 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.5.2)\n",
+      "Requirement already satisfied: gensim~=3.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (3.8.3)\n",
+      "Requirement already satisfied: sklearn~=0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.0)\n",
+      "Requirement already satisfied: pandas~=1.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.1.1)\n",
+      "Requirement already satisfied: torch~=1.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.4.0)\n",
+      "Requirement already satisfied: Flask~=1.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.1.2)\n",
+      "Requirement already satisfied: tokenizers~=0.8 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.8.1)\n",
+      "Collecting spacy==2.2.4\n",
+      "  Using cached https://files.pythonhosted.org/packages/f8/8e/bd5058daa751a8089e3106b1b9c8db1e86e78d80b13e28af0a37c7ad175f/spacy-2.2.4-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: torchvision~=0.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (0.5.0)\n",
+      "Requirement already satisfied: numpy~=1.18 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from medcat) (1.18.1)\n",
+      "Requirement already satisfied: six>=1.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from gensim~=3.7->medcat) (1.13.0)\n",
+      "Requirement already satisfied: smart-open>=1.8.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from gensim~=3.7->medcat) (2.1.1)\n",
+      "Requirement already satisfied: scikit-learn in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from sklearn~=0.0->medcat) (0.23.2)\n",
+      "Requirement already satisfied: pytz>=2017.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pandas~=1.0->medcat) (2019.3)\n",
+      "Requirement already satisfied: python-dateutil>=2.7.3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pandas~=1.0->medcat) (2.8.1)\n",
+      "Requirement already satisfied: itsdangerous>=0.24 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (1.1.0)\n",
+      "Requirement already satisfied: Werkzeug>=0.15 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (1.0.1)\n",
+      "Requirement already satisfied: Jinja2>=2.10.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (2.11.2)\n",
+      "Requirement already satisfied: click>=5.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Flask~=1.1->medcat) (7.1.2)\n",
+      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (4.41.1)\n",
+      "Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (0.6.0)\n",
+      "Requirement already satisfied: blis<0.5.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (0.4.1)\n",
+      "Requirement already satisfied: plac<1.2.0,>=0.9.6 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.1.3)\n",
+      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (2.22.0)\n",
+      "Requirement already satisfied: srsly<1.1.0,>=1.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.2)\n",
+      "Requirement already satisfied: catalogue<1.1.0,>=0.0.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.0)\n",
+      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (2.0.3)\n",
+      "Collecting thinc==7.4.0\n",
+      "  Using cached https://files.pythonhosted.org/packages/27/83/04fa4d7abf1989f1416becfc951eb26891ecb09207ca62907c4004cd23d9/thinc-7.4.0-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (3.0.2)\n",
+      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (1.0.2)\n",
+      "Requirement already satisfied: setuptools in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy==2.2.4->medcat) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: pillow>=4.1.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from torchvision~=0.5.0->medcat) (7.2.0)\n",
+      "Requirement already satisfied: boto in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from smart-open>=1.8.1->gensim~=3.7->medcat) (2.49.0)\n",
+      "Requirement already satisfied: boto3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from smart-open>=1.8.1->gensim~=3.7->medcat) (1.14.56)\n",
+      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from scikit-learn->sklearn~=0.0->medcat) (2.1.0)\n",
+      "Requirement already satisfied: joblib>=0.11 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from scikit-learn->sklearn~=0.0->medcat) (0.16.0)\n",
+      "Requirement already satisfied: MarkupSafe>=0.23 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from Jinja2>=2.10.1->Flask~=1.1->medcat) (1.1.1)\n",
+      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (3.0.4)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (1.25.8)\n",
+      "Requirement already satisfied: idna<2.9,>=2.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (2.8)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy==2.2.4->medcat) (2019.11.28)\n",
+      "Requirement already satisfied: botocore<1.18.0,>=1.17.56 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (1.17.56)\n",
+      "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.3.3)\n",
+      "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.10.0)\n",
+      "Requirement already satisfied: docutils<0.16,>=0.10 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from botocore<1.18.0,>=1.17.56->boto3->smart-open>=1.8.1->gensim~=3.7->medcat) (0.15.2)\n",
+      "\u001b[31mERROR: en-core-sci-md 0.2.5 has requirement spacy>=2.3.0, but you'll have spacy 2.2.4 which is incompatible.\u001b[0m\n",
+      "Installing collected packages: thinc, spacy\n",
+      "  Found existing installation: thinc 7.4.1\n",
+      "    Uninstalling thinc-7.4.1:\n",
+      "      Successfully uninstalled thinc-7.4.1\n",
+      "  Found existing installation: spacy 2.3.2\n",
+      "    Uninstalling spacy-2.3.2:\n",
+      "      Successfully uninstalled spacy-2.3.2\n",
+      "Successfully installed spacy-2.2.4 thinc-7.4.0\n",
+      "Collecting https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+      "  Using cached https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+      "Requirement already satisfied (use --upgrade to upgrade): en-core-sci-md==0.2.5 from https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages\n",
+      "Collecting spacy>=2.3.0\n",
+      "  Using cached https://files.pythonhosted.org/packages/2d/4a/9a3b4cc6da723645b72a88b77f0db0fd413749081f97dea548f0327e89e6/spacy-2.3.2-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (2.22.0)\n",
+      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (2.0.3)\n",
+      "Requirement already satisfied: plac<1.2.0,>=0.9.6 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.1.3)\n",
+      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (3.0.2)\n",
+      "Requirement already satisfied: blis<0.5.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (0.4.1)\n",
+      "Requirement already satisfied: srsly<1.1.0,>=1.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.2)\n",
+      "Requirement already satisfied: numpy>=1.15.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.18.1)\n",
+      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.2)\n",
+      "Collecting thinc==7.4.1\n",
+      "  Using cached https://files.pythonhosted.org/packages/d7/f3/5f0003393817056f317df05a802611a62b25650dc03b240faf056b862ad6/thinc-7.4.1-cp38-cp38-manylinux1_x86_64.whl\n",
+      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (4.41.1)\n",
+      "Requirement already satisfied: setuptools in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (0.6.0)\n",
+      "Requirement already satisfied: catalogue<1.1.0,>=0.0.7 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from spacy>=2.3.0->en-core-sci-md==0.2.5) (1.0.0)\n",
+      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (1.25.8)\n",
+      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (3.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (2019.11.28)\n",
+      "Requirement already satisfied: idna<2.9,>=2.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from requests<3.0.0,>=2.13.0->spacy>=2.3.0->en-core-sci-md==0.2.5) (2.8)\n",
+      "Building wheels for collected packages: en-core-sci-md\n",
+      "  Building wheel for en-core-sci-md (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for en-core-sci-md: filename=en_core_sci_md-0.2.5-cp38-none-any.whl size=79962016 sha256=695ef7e15c43fc8d9f6f628d7a432349cec859d6fc0c72f4b78aca0b0c16ba5b\n",
+      "  Stored in directory: /home/ubuntu/.cache/pip/wheels/b8/ce/53/ed583ce748006061c2643822e610e36be61cb000d55e12180f\n",
+      "Successfully built en-core-sci-md\n",
+      "\u001b[31mERROR: medcat 0.3.8.0 has requirement spacy==2.2.4, but you'll have spacy 2.3.2 which is incompatible.\u001b[0m\n",
+      "Installing collected packages: thinc, spacy\n",
+      "  Found existing installation: thinc 7.4.0\n",
+      "    Uninstalling thinc-7.4.0:\n",
+      "      Successfully uninstalled thinc-7.4.0\n",
+      "  Found existing installation: spacy 2.2.4\n",
+      "    Uninstalling spacy-2.2.4:\n",
+      "      Successfully uninstalled spacy-2.2.4\n",
+      "Successfully installed spacy-2.3.2 thinc-7.4.1\n",
+      "Requirement already satisfied: ipywidgets in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (7.5.1)\n",
+      "Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (3.5.1)\n",
+      "Requirement already satisfied: traitlets>=4.3.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (4.3.3)\n",
+      "Requirement already satisfied: ipykernel>=4.5.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (5.1.3)\n",
+      "Requirement already satisfied: ipython>=4.0.0; python_version >= \"3.3\" in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (7.11.1)\n",
+      "Requirement already satisfied: nbformat>=4.2.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipywidgets) (5.0.7)\n",
+      "Requirement already satisfied: notebook>=4.4.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from widgetsnbextension~=3.5.0->ipywidgets) (6.1.3)\n",
+      "Requirement already satisfied: six in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (1.13.0)\n",
+      "Requirement already satisfied: decorator in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (4.4.1)\n",
+      "Requirement already satisfied: ipython-genutils in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from traitlets>=4.3.1->ipywidgets) (0.2.0)\n",
+      "Requirement already satisfied: jupyter-client in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.3.4)\n",
+      "Requirement already satisfied: tornado>=4.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (6.0.3)\n",
+      "Requirement already satisfied: backcall in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.1.0)\n",
+      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (3.0.2)\n",
+      "Requirement already satisfied: pickleshare in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.7.5)\n",
+      "Requirement already satisfied: pygments in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (2.5.2)\n",
+      "Requirement already satisfied: jedi>=0.10 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.15.2)\n",
+      "Requirement already satisfied: pexpect; sys_platform != \"win32\" in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (4.7.0)\n",
+      "Requirement already satisfied: setuptools>=18.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (44.0.0.post20200106)\n",
+      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets) (3.2.0)\n",
+      "Requirement already satisfied: jupyter-core in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets) (4.6.1)\n",
+      "Requirement already satisfied: argon2-cffi in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (20.1.0)\n",
+      "Requirement already satisfied: nbconvert in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (5.6.1)\n",
+      "Requirement already satisfied: Send2Trash in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.5.0)\n",
+      "Requirement already satisfied: terminado>=0.8.3 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.3)\n",
+      "Requirement already satisfied: prometheus-client in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.0)\n",
+      "Requirement already satisfied: pyzmq>=17 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (18.1.0)\n",
+      "Requirement already satisfied: jinja2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.11.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets) (2.8.1)\n",
+      "Requirement already satisfied: wcwidth in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.1.7)\n",
+      "Requirement already satisfied: parso>=0.5.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.5.2)\n",
+      "Requirement already satisfied: ptyprocess>=0.5 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.6.0)\n",
+      "Requirement already satisfied: pyrsistent>=0.14.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets) (0.16.0)\n",
+      "Requirement already satisfied: attrs>=17.4.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets) (20.2.0)\n",
+      "Requirement already satisfied: cffi>=1.0.0 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.14.2)\n",
+      "Requirement already satisfied: testpath in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.4.4)\n",
+      "Requirement already satisfied: defusedxml in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.6.0)\n",
+      "Requirement already satisfied: bleach in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (3.1.5)\n",
+      "Requirement already satisfied: entrypoints>=0.2.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.3)\n",
+      "Requirement already satisfied: mistune<2,>=0.8.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.8.4)\n",
+      "Requirement already satisfied: pandocfilters>=1.4.1 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.4.2)\n",
+      "Requirement already satisfied: MarkupSafe>=0.23 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.1.1)\n",
+      "Requirement already satisfied: pycparser in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.20)\n",
+      "Requirement already satisfied: packaging in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (20.4)\n",
+      "Requirement already satisfied: webencodings in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.5.1)\n",
+      "Requirement already satisfied: pyparsing>=2.0.2 in /home/ubuntu/anaconda3/envs/cattrainer/lib/python3.8/site-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.4.7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# install medcat\n",
+    "!pip install medcat\n",
+    "# scispacy medium models\n",
+    "!pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz\n",
+    "# ipywidgets\n",
+    "!pip install ipywidgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.270631Z",
+     "start_time": "2020-09-08T11:27:23.550151Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from medcat.cat import CAT\n",
+    "from medcat.cdb import CDB\n",
+    "from medcat.utils.vocab import Vocab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.322602Z",
+     "start_time": "2020-09-08T11:27:34.300987Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# insert your own model paths\n",
+    "cdb_path = ''\n",
+    "vocab_path = ''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2020-09-08 11:05:41--  https://zkcl.s3-eu-west-1.amazonaws.com/embeddings.npy\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 38162528 (36M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/embeddings.npy.1’\n",
+      "\n",
+      "embeddings.npy.1    100%[===================>]  36.39M  29.6MB/s    in 1.2s    \n",
+      "\n",
+      "2020-09-08 11:05:43 (29.6 MB/s) - ‘./data/embeddings.npy.1’ saved [38162528/38162528]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://zkcl.s3-eu-west-1.amazonaws.com/medmen-merges.txt\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 152931 (149K) [text/plain]\n",
+      "Saving to: ‘./data/medmen-merges.txt.1’\n",
+      "\n",
+      "medmen-merges.txt.1 100%[===================>] 149.35K  --.-KB/s    in 0.07s   \n",
+      "\n",
+      "2020-09-08 11:05:43 (2.11 MB/s) - ‘./data/medmen-merges.txt.1’ saved [152931/152931]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://zkcl.s3-eu-west-1.amazonaws.com/medmen-vocab.json\n",
+      "Resolving zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)... 52.218.53.171\n",
+      "Connecting to zkcl.s3-eu-west-1.amazonaws.com (zkcl.s3-eu-west-1.amazonaws.com)|52.218.53.171|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 254017 (248K) [application/json]\n",
+      "Saving to: ‘./data/medmen-vocab.json.1’\n",
+      "\n",
+      "medmen-vocab.json.1 100%[===================>] 248.06K  --.-KB/s    in 0.05s   \n",
+      "\n",
+      "2020-09-08 11:05:43 (5.24 MB/s) - ‘./data/medmen-vocab.json.1’ saved [254017/254017]\n",
+      "\n",
+      "--2020-09-08 11:05:43--  https://s3-eu-west-1.amazonaws.com/zkcl/vocab.dat\n",
+      "Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 52.218.88.51\n",
+      "Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.88.51|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 274445907 (262M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/vocab.dat.1’\n",
+      "\n",
+      "vocab.dat.1         100%[===================>] 261.73M  36.6MB/s    in 7.3s    \n",
+      "\n",
+      "2020-09-08 11:05:51 (35.9 MB/s) - ‘./data/vocab.dat.1’ saved [274445907/274445907]\n",
+      "\n",
+      "--2020-09-08 11:05:51--  https://s3-eu-west-1.amazonaws.com/zkcl/cdb-medmen.dat\n",
+      "Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 52.218.85.43\n",
+      "Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.85.43|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 180335834 (172M) [application/x-www-form-urlencoded]\n",
+      "Saving to: ‘./data/cdb-medmen.dat.1’\n",
+      "\n",
+      "cdb-medmen.dat.1      7%[>                   ]  12.10M  12.0MB/s               ^C\n"
+     ]
+    }
+   ],
+   "source": [
+    "# example_models\n",
+    "# meta anno model: tokeniser models trained the github MedCAT tutorials\n",
+    "# https://colab.research.google.com/drive/1rxzBZCTDcqsIjRXZ3u4yRZFOkUCCuwyy\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/embeddings.npy -P ./data/\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/medmen-merges.txt -P ./data/\n",
+    "!wget https://zkcl.s3-eu-west-1.amazonaws.com/medmen-vocab.json -P ./data/\n",
+    "\n",
+    "# Get MedCAT models\n",
+    "!wget https://s3-eu-west-1.amazonaws.com/zkcl/vocab.dat -P ./data/\n",
+    "!wget https://s3-eu-west-1.amazonaws.com/zkcl/cdb-medmen.dat -P ./data/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:34.434536Z",
+     "start_time": "2020-09-08T11:27:34.356662Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "cdb_path = './data/cdb-medmen.dat'\n",
+    "vocab_path = './data/vocab.dat'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:27:59.782731Z",
+     "start_time": "2020-09-08T11:27:34.464792Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "cdb = CDB()\n",
+    "cdb.load_dict(cdb_path)\n",
+    "vocab = Vocab()\n",
+    "vocab.load_dict(vocab_path)\n",
+    "cat = CAT(cdb, vocab)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T11:37:38.546552Z",
+     "start_time": "2020-09-08T11:37:21.876749Z"
+    }
+   },
+   "outputs": [
+    {
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+    {
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+    {
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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Epoch: 0, Prec: 0.36538461538461536, Rec: 0.8444444444444444, F1: 0.6049145299145299\n",
+      "\n",
+      "Docs with false positives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "Docs with false negatives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "\n",
+      "\n",
+      "False Positives\n",
+      "\n",
+      "patient                                                                - N-00123              -         23\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          6\n",
+      "spectrum disorder                                                      - C0004936             -          6\n",
+      "constipation                                                           - C0009806             -          5\n",
+      "drug use                                                               - C0242510             -          4\n",
+      "psychiatric symptoms                                                   - C0233401             -          3\n",
+      "disease                                                                - C0012634             -          3\n",
+      "Alcohol Problems                                                       - C0549393             -          2\n",
+      "abnormal behaviors                                                     - C0233514             -          2\n",
+      "disruptive behaviour disorder                                          - C0012734             -          2\n",
+      "\n",
+      "\n",
+      "False Negatives\n",
+      "\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          2\n",
+      "spectrum disorder                                                      - C0004936             -          1\n",
+      "\n",
+      "\n",
+      "True Positives\n",
+      "\n",
+      "symptoms                                                               - C1457887             -         11\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          4\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          4\n",
+      "disease                                                                - C0012634             -          3\n",
+      "posttraumatic stress symptoms                                          - C0038436             -          2\n",
+      "ADHD                                                                   - C1263846             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "constipation                                                           - C0009806             -          1\n",
+      "drug use                                                               - C0242510             -          1\n",
+      "**************************************************************************************************************\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
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+    {
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+    },
+    {
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+    {
+     "data": {
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch: 1, Prec: 0.35514018691588783, Rec: 0.8444444444444444, F1: 0.5997923156801661\n",
+      "\n",
+      "Docs with false positives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "Docs with false negatives: Psych Text 1; Psych Text 2\n",
+      "\n",
+      "\n",
+      "\n",
+      "False Positives\n",
+      "\n",
+      "patient                                                                - N-00123              -         37\n",
+      "spectrum disorder                                                      - C0004936             -         10\n",
+      "psychiatric symptoms                                                   - C0233401             -          3\n",
+      "constipation                                                           - C0009806             -          3\n",
+      "Alcohol Problems                                                       - C0549393             -          2\n",
+      "disruptive behaviour disorder                                          - C0012734             -          2\n",
+      "oppositional defiant disorder                                          - C1656589             -          2\n",
+      "acute ischemic stroke                                                  - C0948008             -          2\n",
+      "drug use                                                               - C0242510             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "\n",
+      "\n",
+      "False Negatives\n",
+      "\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          2\n",
+      "disease                                                                - C0012634             -          1\n",
+      "\n",
+      "\n",
+      "True Positives\n",
+      "\n",
+      "symptoms                                                               - C1457887             -         11\n",
+      "DIABETIC RETINOPATHY                                                   - C0011884             -          4\n",
+      "acute ischemic stroke                                                  - C0948008             -          4\n",
+      "depressive                                                             - C0011570             -          4\n",
+      "posttraumatic stress symptoms                                          - C0038436             -          2\n",
+      "ADHD                                                                   - C1263846             -          2\n",
+      "spectrum disorder                                                      - C0004936             -          2\n",
+      "disease                                                                - C0012634             -          2\n",
+      "heart diseases                                                         - C0018799             -          2\n",
+      "constipation                                                           - C0009806             -          1\n",
+      "**************************************************************************************************************\n",
+      "\n",
+      "\r"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "({'N-00123': 37,\n",
+       "  'C0004936': 10,\n",
+       "  'C0233401': 3,\n",
+       "  'C0009806': 3,\n",
+       "  'C0549393': 2,\n",
+       "  'C0012734': 2,\n",
+       "  'C1656589': 2,\n",
+       "  'C0948008': 2,\n",
+       "  'C0242510': 2,\n",
+       "  'C0018799': 2,\n",
+       "  'C0011884': 2,\n",
+       "  'C0015672': 1,\n",
+       "  'C1457887': 1},\n",
+       " {'C0948008': 4, 'C0011570': 2, 'C0012634': 1},\n",
+       " {'C1457887': 11,\n",
+       "  'C0011884': 4,\n",
+       "  'C0948008': 4,\n",
+       "  'C0011570': 4,\n",
+       "  'C0038436': 2,\n",
+       "  'C1263846': 2,\n",
+       "  'C0004936': 2,\n",
+       "  'C0012634': 2,\n",
+       "  'C0018799': 2,\n",
+       "  'C0009806': 1,\n",
+       "  'C0242510': 1,\n",
+       "  'C0015672': 1,\n",
+       "  'C0233401': 1,\n",
+       "  'N-00123': 1},\n",
+       " {'C1457887': 0.9166666666666666,\n",
+       "  'C0011884': 0.6666666666666666,\n",
+       "  'C0948008': 0.6666666666666666,\n",
+       "  'C0011570': 1.0,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 0.16666666666666666,\n",
+       "  'C0012634': 1.0,\n",
+       "  'C0018799': 0.5,\n",
+       "  'C0009806': 0.25,\n",
+       "  'C0242510': 0.3333333333333333,\n",
+       "  'C0015672': 0.5,\n",
+       "  'C0233401': 0.25,\n",
+       "  'N-00123': 0.02631578947368421},\n",
+       " {'C1457887': 1.0,\n",
+       "  'C0011884': 1.0,\n",
+       "  'C0948008': 0.5,\n",
+       "  'C0011570': 0.6666666666666666,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 1.0,\n",
+       "  'C0012634': 0.6666666666666666,\n",
+       "  'C0018799': 1.0,\n",
+       "  'C0009806': 1.0,\n",
+       "  'C0242510': 1.0,\n",
+       "  'C0015672': 1.0,\n",
+       "  'C0233401': 1.0,\n",
+       "  'N-00123': 1.0},\n",
+       " {'C1457887': 0.9583333333333333,\n",
+       "  'C0011884': 0.8333333333333333,\n",
+       "  'C0948008': 0.5833333333333333,\n",
+       "  'C0011570': 0.8333333333333333,\n",
+       "  'C0038436': 1.0,\n",
+       "  'C1263846': 1.0,\n",
+       "  'C0004936': 0.5833333333333334,\n",
+       "  'C0012634': 0.8333333333333333,\n",
+       "  'C0018799': 0.75,\n",
+       "  'C0009806': 0.625,\n",
+       "  'C0242510': 0.6666666666666666,\n",
+       "  'C0015672': 0.75,\n",
+       "  'C0233401': 0.625,\n",
+       "  'N-00123': 0.5131578947368421},\n",
+       " {'C1656589': 2,\n",
+       "  'C0012734': 2,\n",
+       "  'C0233401': 4,\n",
+       "  'C0233514': 2,\n",
+       "  'C0549393': 2,\n",
+       "  'C0004936': 5,\n",
+       "  'C0009806': 6,\n",
+       "  'C0021167': 2,\n",
+       "  'C0011570': 13,\n",
+       "  'C0015672': 4,\n",
+       "  'C1457887': 12,\n",
+       "  'C0012634': 9,\n",
+       "  'C0948008': 15,\n",
+       "  'C0085762': 2,\n",
+       "  'C0018799': 4,\n",
+       "  'C0038436': 2,\n",
+       "  'C1263846': 2,\n",
+       "  'C0242510': 3,\n",
+       "  'C0011884': 8,\n",
+       "  'N-00123': 1},\n",
+       " {'fp': {'N-00123': [{'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns r',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5472404361613998,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ': Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.9999966838099438,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 's and things do not go well.\\n\\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planne',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5532864297857628,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'fe. He currently is taking MiraLax.\\n\\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a hom',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6040666923302607,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'father was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relati',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.42350203252318674,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the pare',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4832092996461273,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made thing',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.671551949403553,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'd not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.589267539211561,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favor',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6120513410581931,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the br',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5449096026356579,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ween the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5420254137730696,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'as treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\\n\\nIDENTI',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.7253207865531603,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': \"to communication. The information gathered was based on the patient's self-report and objective testing and observation. His at\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.43483201471764166,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns r',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5472404361613998,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 's and things do not go well.\\n\\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planne',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5532864297857628,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'fe. He currently is taking MiraLax.\\n\\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a hom',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6040666923302607,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'father was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relati',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.42350203252318674,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the pare',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4832092996461273,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made thing',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.671551949403553,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'd not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.589267539211561,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favor',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6120513410581931,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the br',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5449096026356579,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ween the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5420254137730696,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'as treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\\n\\nIDENTI',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.7253207865531603,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': \"to communication. The information gathered was based on the patient's self-report and objective testing and observation. His at\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.43483201471764166,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at C',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5283311726903505,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'siderable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, s',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4746482211315399,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'tes at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is agains',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.534865953069171,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': ' saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.6045076382202238,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'e of deep breaths, and that passes. It is reported that the patient has \"always been this way\" and that is not a change in her ',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.539655647752385,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'eriod were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5128807868205427,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ve any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5753557663354744,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ay's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on sever\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5683816756271438,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'e family was denied.\\n\\nSOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonel',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5474165077033848,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': \"ther reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, b\",\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.4851883822659569,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'at she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely,',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.5300804533979124,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes i',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.48700989852026033,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0549393': [{'text': 'No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmo',\n",
+       "     'cui': 'C0549393',\n",
+       "     'source value': 'alcohol problems',\n",
+       "     'acc': 0.2641167376667131,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmo',\n",
+       "     'cui': 'C0549393',\n",
+       "     'source value': 'alcohol problems',\n",
+       "     'acc': 0.2641167376667131,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0233401': [{'text': 'ernal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\\n\\nMother reported that the marria',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.24826490985627295,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ernal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\\n\\nMother reported that the marria',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.24826490985627295,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ell as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.47270168276497093,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C0009806': [{'text': 'ON: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it wou',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipation',\n",
+       "     'acc': 0.2082175422188805,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards ',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipated',\n",
+       "     'acc': 0.3293009898417058,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ON: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it wou',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipation',\n",
+       "     'acc': 0.2082175422188805,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0012734': [{'text': 'ncopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant',\n",
+       "     'cui': 'C0012734',\n",
+       "     'source value': 'disruptive behavior disorder',\n",
+       "     'acc': 0.5188153848991972,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ncopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant',\n",
+       "     'cui': 'C0012734',\n",
+       "     'source value': 'disruptive behavior disorder',\n",
+       "     'acc': 0.5188153848991972,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C1656589': [{'text': 've behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, a',\n",
+       "     'cui': 'C1656589',\n",
+       "     'source value': 'oppositional defiant disorder',\n",
+       "     'acc': 0.2958425282198353,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 've behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, a',\n",
+       "     'cui': 'C1656589',\n",
+       "     'source value': 'oppositional defiant disorder',\n",
+       "     'acc': 0.2958425282198353,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0004936': [{'text': ' appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary,',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'ILLNESS',\n",
+       "     'acc': 0.47487681037033896,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.5275874362840111,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'social personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nRECOMMENDATIONS AND PLAN: I recommend Mr. ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'Disorder',\n",
+       "     'acc': 0.3455350717032499,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'd. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has al',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'psychopathology',\n",
+       "     'acc': 0.23794721358274204,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': ' appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary,',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'ILLNESS',\n",
+       "     'acc': 0.47487681037033896,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': ', and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or ho',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorders',\n",
+       "     'acc': 0.6117808973788813,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.5275874362840111,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'social personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nRECOMMENDATIONS AND PLAN: I recommend Mr. ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'Disorder',\n",
+       "     'acc': 0.3455350717032499,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'by. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother w',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'illnesses',\n",
+       "     'acc': 0.4433241651063592,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2},\n",
+       "    {'text': 'at the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the \"seizure ',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 0.423088564708342,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0948008': [{'text': 'her sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depressio',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2362106390803465,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that t',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2543183337077788,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0242510': [{'text': 'e patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No slee',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'use',\n",
+       "     'acc': 0.5415151393071053,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'e biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with meth',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'drug',\n",
+       "     'acc': 0.42210970697497835,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 2}],\n",
+       "   'C0015672': [{'text': 'ubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things so',\n",
+       "     'cui': 'C0015672',\n",
+       "     'source value': 'fatigued',\n",
+       "     'acc': 0.3064013556824449,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True}],\n",
+       "   'C0018799': [{'text': 'etween The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to ',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart',\n",
+       "     'acc': 0.3445859892414807,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'italizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointesti',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart disease',\n",
+       "     'acc': 0.48893815849853467,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C1457887': [{'text': 'ave hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.4124735688339169,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}],\n",
+       "   'C0011884': [{'text': \"ions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unkno\",\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.25753479501299037,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True},\n",
+       "    {'text': 'ith an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since A',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.28702729946087374,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 1,\n",
+       "     'real_fp': True}]},\n",
+       "  'fn': {'C0948008': [{'text': ' denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has always soiled, ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'stipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'els that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': \" two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparen\",\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0011570': [{'text': 'oughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide att',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depressive',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 's overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of an',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0012634': [{'text': 'e with treatment, and no evidence of antisocial personality disorder.\\n\\nIMPRESSIONS: Major Depressive Disorder, single episode\\n\\nR',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'disorder',\n",
+       "     'acc': 1,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}]},\n",
+       "  'tp': {'C0011884': [{'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral actin',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.4340862503605942,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': \"ions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unkno\",\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.25753479501299037,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'ith an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since A',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.28702729946087374,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': '\\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral actin',\n",
+       "     'cui': 'C0011884',\n",
+       "     'source value': 'Dr',\n",
+       "     'acc': 0.4340862503605942,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0948008': [{'text': 'was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.29847486773482124,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'her sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depressio',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2362106390803465,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that t',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.2543183337077788,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his ',\n",
+       "     'cui': 'C0948008',\n",
+       "     'source value': 'regards',\n",
+       "     'acc': 0.29847486773482124,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C1457887': [{'text': 'es thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting th',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8225713484970468,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'sy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8346240487374752,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7909687632269117,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': '. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.6608860624240025,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'SD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she repo',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7533030511234585,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ave hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\\n\\nHISTORY OF PRESENT ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.4124735688339169,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1},\n",
+       "    {'text': 'es thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting th',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8225713484970468,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'sy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.8346240487374752,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as ',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7909687632269117,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': '. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.6608860624240025,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'SD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she repo',\n",
+       "     'cui': 'C1457887',\n",
+       "     'source value': 'symptoms',\n",
+       "     'acc': 0.7533030511234585,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0011570': [{'text': 'at the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5410288841816506,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'n regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5810060995754261,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'at the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5410288841816506,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'n regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to',\n",
+       "     'cui': 'C0011570',\n",
+       "     'source value': 'depression',\n",
+       "     'acc': 0.5810060995754261,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0038436': [{'text': ' any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other sy',\n",
+       "     'cui': 'C0038436',\n",
+       "     'source value': 'PTSD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ' any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other sy',\n",
+       "     'cui': 'C0038436',\n",
+       "     'source value': 'PTSD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C1263846': [{'text': 'ation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychop',\n",
+       "     'cui': 'C1263846',\n",
+       "     'source value': 'ADHD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'ation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychop',\n",
+       "     'cui': 'C1263846',\n",
+       "     'source value': 'ADHD',\n",
+       "     'acc': 1.0,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0004936': [{'text': 'd. ADHD symptoms were denied, as were all other symptoms of psychopathology.\\n\\nIn regards to the encopresis, she reported that he has al',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'psychopathology',\n",
+       "     'acc': 0.23794721358274204,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': ', and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or ho',\n",
+       "     'cui': 'C0004936',\n",
+       "     'source value': 'disorders',\n",
+       "     'acc': 0.6117808973788813,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0012634': [{'text': 'e several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was sev',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'Diseases',\n",
+       "     'acc': 0.6652453957177196,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'e several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was sev',\n",
+       "     'cui': 'C0012634',\n",
+       "     'source value': 'Diseases',\n",
+       "     'acc': 0.6652453957177196,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0009806': [{'text': 'that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards ',\n",
+       "     'cui': 'C0009806',\n",
+       "     'source value': 'constipated',\n",
+       "     'acc': 0.3293009898417058,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0242510': [{'text': 'e patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No slee',\n",
+       "     'cui': 'C0242510',\n",
+       "     'source value': 'use',\n",
+       "     'acc': 0.5415151393071053,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0015672': [{'text': 'ubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things so',\n",
+       "     'cui': 'C0015672',\n",
+       "     'source value': 'fatigued',\n",
+       "     'acc': 0.3064013556824449,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0}],\n",
+       "   'C0018799': [{'text': 'etween The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to ',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart',\n",
+       "     'acc': 0.3445859892414807,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 0},\n",
+       "    {'text': 'italizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointesti',\n",
+       "     'cui': 'C0018799',\n",
+       "     'source value': 'heart disease',\n",
+       "     'acc': 0.48893815849853467,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'C0233401': [{'text': 'ell as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it',\n",
+       "     'cui': 'C0233401',\n",
+       "     'source value': 'psychiatric symptoms',\n",
+       "     'acc': 0.47270168276497093,\n",
+       "     'project index': 0,\n",
+       "     'document inedex': 1}],\n",
+       "   'N-00123': [{'text': ': Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent',\n",
+       "     'cui': 'N-00123',\n",
+       "     'source value': 'patient',\n",
+       "     'acc': 0.9999966838099438,\n",
+       "     'project index': 1,\n",
+       "     'document inedex': 0}]}})"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cat.train_supervised(data_path=\"example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json\", \n",
+    "                     nepochs=1,\n",
+    "                     lr=0.1,\n",
+    "                     anneal=False, # Unless we are reseting the CDB or cui_count this is False\n",
+    "                     print_stats=True, \n",
+    "                     use_filters=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Can use scikit learn sklearn.model_selection.train_test_split to split and CV the dataset..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:02.394607Z",
+     "start_time": "2020-09-08T15:04:02.358514Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from medcat.meta_cat import MetaCAT\n",
+    "from tokenizers import ByteLevelBPETokenizer\n",
+    "from itertools import chain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T14:46:39.070589Z",
+     "start_time": "2020-09-08T14:46:38.965765Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Tokenizer instantiation\n",
+    "tokenizer = ByteLevelBPETokenizer(vocab_file='data/medmen-vocab.json', merges_file='data/medmen-merges.txt')\n",
+    "embeddings = np.load(open('data/embeddings.npy', 'rb'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T14:59:26.370596Z",
+     "start_time": "2020-09-08T14:59:26.331318Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "metacat = MetaCAT(tokenizer=tokenizer, embeddings=embeddings, \n",
+    "             pad_id=len(embeddings) -1, save_dir='mc_status', device='cpu')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:00:19.886627Z",
+     "start_time": "2020-09-08T15:00:19.835993Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "proj = json.load(open('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:17.094582Z",
+     "start_time": "2020-09-08T15:04:17.051585Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Negation', 'Skip'}"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Tasks we are training for...\n",
+    "set(chain.from_iterable([a['meta_anns'].keys() for d in proj['projects'][0]['documents'] for a in d['annotations']]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-09-08T15:04:46.434650Z",
+     "start_time": "2020-09-08T15:04:33.474305Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "==================================================\n",
+      "Model saved at epoch: 0 and f1: 1.0\n",
+      "[[5]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "**************************************************  Train\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        41\n",
+      "\n",
+      "    accuracy                           1.00        41\n",
+      "   macro avg       1.00      1.00      1.00        41\n",
+      "weighted avg       1.00      1.00      1.00        41\n",
+      "\n",
+      "**************************************************  Test\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         5\n",
+      "\n",
+      "    accuracy                           1.00         5\n",
+      "   macro avg       1.00      1.00      1.00         5\n",
+      "weighted avg       1.00      1.00      1.00         5\n",
+      "\n",
+      "Train Loss:   0.0\n",
+      "Test Loss:    0.0\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "Best/Average scores: F1: 1.0, P: 1.0, R: 1.0\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'f1': 1.0,\n",
+       " 'p': 1.0,\n",
+       " 'r': 1.0,\n",
+       " 'cls_report': {'0': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5},\n",
+       "  'accuracy': 1.0,\n",
+       "  'macro avg': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5},\n",
+       "  'weighted avg': {'precision': 1.0,\n",
+       "   'recall': 1.0,\n",
+       "   'f1-score': 1.0,\n",
+       "   'support': 5}}}"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metacat.train('example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json', 'Skip', nepochs=5)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:cattrainer]",
+   "language": "python",
+   "name": "conda-env-cattrainer-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.1"
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/v1/medcat-trainer/notebook_docs/example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json b/v1/medcat-trainer/notebook_docs/example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json
new file mode 100644
index 000000000..3fb979d9b
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/example_data/MedCAT_Export_With_Text_2020-05-22_10_34_09.json
@@ -0,0 +1 @@
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"tuis": "", "documents": [{"id": 262816, "name": "Psych Text 1", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.\n\nPRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\n\nIn regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.\n\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.\n\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\n\nMother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.\n\nACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.\n\nSOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.\n\nPREVIOUS COUNSELING: Denied.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.\n\nPLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.\n\nDSM IV DIAGNOSES:\nAXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)\nAXIS II: No diagnoses (V71.09).\nAXIS III: No diagnoses.\nAXIS IV: Problems with primary support group.\nAXIS V: Global assessment of functioning equals 65.", "last_modified": "2020-04-02 00:02:47.292599+00:00", "annotations": [{"id": 46102, "user": "admin", "cui": "C1656589", "value": "oppositional defiant disorder", "start": 9593, "end": 9622, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:23.830587+00:00", "manually_created": false, "acc": 0.392611944253081, "meta_anns": {}}, {"id": 46103, "user": "admin", "cui": "C0012734", "value": "disruptive behavior disorder", "start": 9525, "end": 9553, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:23.399296+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46104, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 8310, "end": 8330, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:18.046649+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46105, "user": "admin", "cui": "C0233514", "value": "behavior problems", "start": 8684, "end": 8701, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:18.233439+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46106, "user": "admin", "cui": "C0549393", "value": "alcohol problems", "start": 8155, "end": 8171, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:19.494374+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46107, "user": "admin", "cui": "C0004936", "value": "psychopathology", "start": 2460, "end": 2475, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.361744+00:00", "manually_created": false, "acc": 0.2633082783827883, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46108, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 9124, "end": 9136, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:16.208227+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46109, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 10337, "end": 10349, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.175459+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46110, "user": "admin", "cui": "C0021167", "value": "incontinence", "start": 10360, "end": 10372, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.358253+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46111, "user": "admin", "cui": "C0009806", "value": "constipated", "start": 3032, "end": 3043, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.053298+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46112, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2115, "end": 2125, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.548205+00:00", "manually_created": false, "acc": 0.6174709338508596, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46113, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2150, "end": 2160, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.020303+00:00", "manually_created": false, "acc": 0.6067908593757687, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46114, "user": "admin", "cui": "C0011570", "value": "depression", "start": 7632, "end": 7642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:15.403728+00:00", "manually_created": false, "acc": 0.6219621895695947, "meta_anns": {}}, {"id": 46115, "user": "admin", "cui": "C0011570", "value": "depression", "start": 8292, "end": 8302, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:17.872983+00:00", "manually_created": false, "acc": 0.4842299529493305, "meta_anns": {}}, {"id": 46116, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6754, "end": 6762, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.457566+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46117, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2103, "end": 2111, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.342221+00:00", "manually_created": false, "acc": 0.6074697887626457, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46118, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2138, "end": 2146, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:10.761681+00:00", "manually_created": false, "acc": 0.595059254889141, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46119, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2365, "end": 2373, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.243470+00:00", "manually_created": false, "acc": 0.5607964911895865, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46120, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2408, "end": 2416, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.904160+00:00", "manually_created": false, "acc": 0.3592671754492376, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46121, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 2448, "end": 2456, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.129059+00:00", "manually_created": false, "acc": 0.4322164179671357, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46122, "user": "admin", "cui": "C0012634", "value": "Diseases", "start": 2807, "end": 2815, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.817485+00:00", "manually_created": false, "acc": 0.3012859808383412, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46123, "user": "admin", "cui": "C0004936", "value": "disorder", "start": 10271, "end": 10279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:24.014467+00:00", "manually_created": false, "acc": 0.6002333864678797, "meta_anns": {}}, {"id": 46124, "user": "admin", "cui": "C0948008", "value": "regards", "start": 610, "end": 617, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:08.116948+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 46125, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2092, "end": 2099, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:09.491813+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46126, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2481, "end": 2488, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:12.588310+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46127, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3095, "end": 3102, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.315202+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46128, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3486, "end": 3493, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.526799+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46129, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5245, "end": 5252, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.985222+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46130, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5646, "end": 5653, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.232563+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46131, "user": "admin", "cui": "C0085762", "value": "alcohol", "start": 7998, "end": 8005, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:20.646191+00:00", "manually_created": false, "acc": 0.6192205119360575, "meta_anns": {}}, {"id": 46132, "user": "admin", "cui": "C0018799", "value": "heart", "start": 7043, "end": 7048, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:14.684482+00:00", "manually_created": false, "acc": 0.27604518560971764, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46133, "user": "admin", "cui": "C0038436", "value": "PTSD", "start": 2386, "end": 2390, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.466244+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46134, "user": "admin", "cui": "C1263846", "value": "ADHD", "start": 2403, "end": 2407, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:11.689827+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46135, "user": "admin", "cui": "C0242510", "value": "use", "start": 4212, "end": 4215, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:13.764552+00:00", "manually_created": false, "acc": 0.5878649995498311, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46136, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:06.868728+00:00", "manually_created": false, "acc": 0.4340288092468738, "meta_anns": {"Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}]}, {"id": 262817, "name": "Psych Text 2", "text": "\nThe patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\n\nIDENTIFYING DATA: Mr. T is a 45-year-old white male.\n\nCHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\n\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee.\" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him \"bitch.\" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to \"deal with it.\"\n\nThere are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.\n\nPAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.\n\nPAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.\n\nSUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.\n\nLEGAL HISTORY: Currently, charges are pending over the above described incident.\n\nMEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.\n\nPERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.\n\nMr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.\n\nMental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.\n\nHe presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.\n\nThere was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.\n\nIMPRESSIONS: Major Depressive Disorder, single episode\n\nRECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.\n", "last_modified": "2020-04-02 00:02:47.303308+00:00", "annotations": [{"id": 46137, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 7726, "end": 7746, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:43.533424+00:00", "manually_created": false, "acc": 0.5523821827959599, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 46138, "user": "admin", "cui": "C0018799", "value": "heart disease", "start": 2872, "end": 2885, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:34.601959+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 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"alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:35.997750+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 46144, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 896, "end": 904, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:31.753237+00:00", "manually_created": false, "acc": 0.428565382105349, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 46145, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 7512, "end": 7520, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:33:37.521640+00:00", "manually_created": false, "acc": 0.684967993488848, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, 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"tuis": "", "documents": [{"id": 262816, "name": "Psych Text 1", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.\n\nPRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.\n\nIn regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.\n\nDEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.\n\nFAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.\n\nMother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.\n\nACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.\n\nSOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.\n\nPREVIOUS COUNSELING: Denied.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.\n\nPLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.\n\nDSM IV DIAGNOSES:\nAXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)\nAXIS II: No diagnoses (V71.09).\nAXIS III: No diagnoses.\nAXIS IV: Problems with primary support group.\nAXIS V: Global assessment of functioning equals 65.", "last_modified": "2020-04-02 00:02:47.292599+00:00", "annotations": [{"id": 39075, "user": "admin", "cui": "C0004936", "value": "psychopathology", "start": 2460, "end": 2475, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:26.610940+00:00", "manually_created": false, "acc": 0.2633082783827883, "meta_anns": {}}, {"id": 39080, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2115, "end": 2125, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:04.414876+00:00", "manually_created": false, "acc": 0.6174709338508596, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39081, "user": "admin", "cui": "C0011570", "value": "depression", "start": 2150, "end": 2160, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:10.491378+00:00", "manually_created": false, "acc": 0.6067908593757687, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39085, "user": "admin", "cui": "C1457887", "value": "symptoms", 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"acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39090, "user": "admin", "cui": "C0012634", "value": "Diseases", "start": 2807, "end": 2815, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:33.726798+00:00", "manually_created": false, "acc": 0.3012859808383412, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39093, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2092, "end": 2099, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:02.698478+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39094, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2481, "end": 2488, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:29.441048+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39101, "user": "admin", "cui": "C0038436", "value": "PTSD", "start": 2386, "end": 2390, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:12.184565+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39102, "user": "admin", "cui": "C1263846", "value": "ADHD", "start": 2403, "end": 2407, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 15:20:12.788918+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39118, "user": "admin", "cui": "C0948008", "value": "regards", "start": 610, "end": 617, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-02 22:41:13.799892+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}}}, {"id": 39125, "user": "admin", "cui": "C0242510", "value": "use", "start": 4212, "end": 4215, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.496269+00:00", "manually_created": false, "acc": 0.5878649995498311, "meta_anns": {}}, {"id": 39126, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": true, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-22 10:24:16.094413+00:00", "manually_created": false, "acc": 0.4340288092468738, "meta_anns": {"Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39211, "user": "admin", "cui": "N-00123", "value": "patient", "start": 502, "end": 509, "validated": true, "correct": false, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-04-03 00:26:34.440698+00:00", "manually_created": true, "acc": 1.0, "meta_anns": {"Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}, {"id": 39398, "user": "admin", "cui": "C1656589", "value": "oppositional defiant disorder", "start": 9593, "end": 9622, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.740054+00:00", "manually_created": false, "acc": 0.392611944253081, "meta_anns": {}}, {"id": 39399, "user": "admin", "cui": "C0012734", "value": "disruptive behavior disorder", "start": 9525, "end": 9553, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.567837+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39400, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 8310, "end": 8330, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.005432+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39401, "user": "admin", "cui": "C0233514", "value": "behavior problems", "start": 8684, "end": 8701, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.187181+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39402, "user": "admin", "cui": "C0549393", "value": "alcohol problems", "start": 8155, "end": 8171, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.513466+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39403, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 9124, "end": 9136, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.377837+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39404, "user": "admin", "cui": "C0009806", "value": "constipation", "start": 10337, "end": 10349, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:01.103826+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39405, "user": "admin", "cui": "C0021167", "value": "incontinence", "start": 10360, "end": 10372, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:01.309753+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39406, "user": "admin", "cui": "C0009806", "value": "constipated", "start": 3032, "end": 3043, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:57.946617+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39407, "user": "admin", "cui": "C0011570", "value": "depression", "start": 7632, "end": 7642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.213600+00:00", "manually_created": false, "acc": 0.6219621895695947, "meta_anns": {}}, {"id": 39408, "user": "admin", "cui": "C0011570", "value": "depression", "start": 8292, "end": 8302, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.826618+00:00", "manually_created": false, "acc": 0.4842299529493305, "meta_anns": {}}, {"id": 39409, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6754, "end": 6762, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.929987+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39410, "user": "admin", "cui": "C0004936", "value": "disorder", "start": 10271, "end": 10279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:18:00.912644+00:00", "manually_created": false, "acc": 0.6002333864678797, "meta_anns": {}}, {"id": 39411, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3095, "end": 3102, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.149827+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39412, "user": "admin", "cui": "C0948008", "value": "regards", "start": 3486, "end": 3493, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.322424+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39413, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5245, "end": 5252, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.609545+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39414, "user": "admin", "cui": "C0948008", "value": "regards", "start": 5646, "end": 5653, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:58.780845+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 39415, "user": "admin", "cui": "C0085762", "value": "alcohol", "start": 7998, "end": 8005, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.373775+00:00", "manually_created": false, "acc": 0.6192205119360575, "meta_anns": {}}, {"id": 39416, "user": "admin", "cui": "C0018799", "value": "heart", "start": 7043, "end": 7048, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-12 00:17:59.055494+00:00", "manually_created": false, "acc": 0.27604518560971764, "meta_anns": {}}, {"id": 46101, "user": "admin", "cui": "C0036572", "value": "do", "start": 517, "end": 519, "validated": true, "correct": false, "deleted": false, "alternative": false, "killed": false, "last_modified": "2020-05-21 10:16:42.154350+00:00", "manually_created": true, "acc": 1.0, "meta_anns": {"Temporality": {"name": "Temporality", "value": "Current", "acc": 1.0, "validated": true}, "Experiencer": {"name": "Experiencer", "value": "Patient", "acc": 1.0, "validated": true}, "Skip": {"name": "Skip", "value": "Yes", "acc": 1.0, "validated": true}, "Negation": {"name": "Negation", "value": "No", "acc": 1.0, "validated": true}}}]}, {"id": 262817, "name": "Psych Text 2", "text": "\nThe patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.\n\nIDENTIFYING DATA: Mr. T is a 45-year-old white male.\n\nCHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.\n\nHISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee.\" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him \"bitch.\" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to \"deal with it.\"\n\nThere are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.\n\nPAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.\n\nPAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.\n\nSUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.\n\nLEGAL HISTORY: Currently, charges are pending over the above described incident.\n\nMEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.\n\nPERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.\n\nMr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.\n\nMental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.\n\nHe presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.\n\nThere was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.\n\nIMPRESSIONS: Major Depressive Disorder, single episode\n\nRECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.\n", "last_modified": "2020-04-02 00:02:47.303308+00:00", "annotations": [{"id": 40121, "user": "admin", "cui": "C1269683", "value": "Major Depressive Disorder", "start": 7536, "end": 7561, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.292562+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40122, "user": "admin", "cui": "C0017178", "value": "gastrointestinal disease", "start": 2932, "end": 2956, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.838693+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40123, "user": "admin", "cui": "C0024517", "value": "major depressive episode", "start": 8154, "end": 8178, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.656745+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40124, "user": "admin", "cui": "C0751265", "value": "learning disabilities", "start": 3704, "end": 3725, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.895442+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40125, "user": "admin", "cui": "C0020443", "value": "hypercholesterolemia", "start": 3102, "end": 3122, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.748249+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40126, "user": "admin", "cui": "C0031212", "value": "personality disorder", "start": 7500, "end": 7520, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.134444+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40127, "user": "admin", "cui": "C2359473", "value": "neurological disease", "start": 2958, "end": 2978, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.977086+00:00", "manually_created": false, "acc": 0.35337355807170256, "meta_anns": {}}, {"id": 40128, "user": "admin", "cui": "C0233401", "value": "psychiatric symptoms", "start": 7726, "end": 7746, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:31.483498+00:00", "manually_created": false, "acc": 0.5378823791184829, "meta_anns": {}}, {"id": 40129, "user": "admin", "cui": "C0740858", "value": "SUBSTANCE ABUSE", "start": 2526, "end": 2541, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.879984+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40130, "user": "admin", "cui": "C0740858", "value": "substance abuse", "start": 2664, "end": 2679, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.023392+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40131, "user": "admin", "cui": "C0026848", "value": "muscles disease", "start": 3040, "end": 3055, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.434169+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40132, "user": "admin", "cui": "C0022658", "value": "kidney disease", "start": 2916, "end": 2930, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.689812+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40133, "user": "admin", "cui": "C0018524", "value": "hallucinations", "start": 5332, "end": 5346, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.234334+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40134, "user": "admin", "cui": "C0023895", "value": "liver disease", "start": 2901, "end": 2914, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.527514+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40135, "user": "admin", "cui": "C3489393", "value": "hiatal hernia", "start": 3084, "end": 3097, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.585901+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40136, "user": "admin", "cui": "C0018799", "value": "heart disease", "start": 2872, "end": 2885, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.181430+00:00", "manually_created": false, "acc": 0.49552588225246, "meta_anns": {}}, {"id": 40137, "user": "admin", "cui": "C0024115", "value": "lung disease", "start": 2887, "end": 2899, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:24.345946+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40138, "user": "admin", "cui": "C0086168", "value": "dissociation", "start": 6014, "end": 6026, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.432484+00:00", "manually_created": false, "acc": 0.297117240980866, "meta_anns": {}}, {"id": 40139, "user": "admin", "cui": "C0598853", "value": "for getting", "start": 6526, "end": 6537, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.268272+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40140, "user": "admin", "cui": "C2830004", "value": "somnolence", "start": 632, "end": 642, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:21.851607+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40141, "user": "admin", "cui": "C2830004", "value": "somnolence", "start": 6195, "end": 6205, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.909362+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40142, "user": "admin", "cui": "C0011570", "value": "depressive", "start": 2326, "end": 2336, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.256188+00:00", "manually_created": false, "acc": 0.4898083983681168, "meta_anns": {}}, {"id": 40143, "user": "admin", "cui": "C0011570", "value": "depression", "start": 4936, "end": 4946, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.117181+00:00", "manually_created": false, "acc": 0.39956867578663036, "meta_anns": {}}, {"id": 40144, "user": "admin", "cui": "C0018681", "value": "headaches", "start": 470, "end": 479, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:14.549292+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40145, "user": "admin", "cui": "C0033975", "value": "psychotic", "start": 2350, "end": 2359, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.420114+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40146, "user": "admin", "cui": "C0178417", "value": "anhedonia", "start": 4957, "end": 4966, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.308026+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40147, "user": "admin", "cui": "C0020903", "value": "illusions", "start": 5373, "end": 5382, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.371372+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40148, "user": "admin", "cui": "C0011253", "value": "delusions", "start": 5644, "end": 5653, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.895727+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40149, "user": "admin", "cui": "C0018681", "value": "headaches", "start": 6285, "end": 6294, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.077275+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40150, "user": "admin", "cui": "C0871764", "value": "COMPLAINT", "start": 402, "end": 411, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:09.291736+00:00", "manually_created": false, "acc": 0.3825371768649487, "meta_anns": {}}, {"id": 40151, "user": "admin", "cui": "C0012634", "value": "disorders", "start": 2360, "end": 2369, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.703110+00:00", "manually_created": false, "acc": 0.5192049896918833, "meta_anns": {}}, {"id": 40152, "user": "admin", "cui": "C0525045", "value": "affective", "start": 5076, "end": 5085, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:27.656209+00:00", "manually_created": false, "acc": 0.36617414967225814, "meta_anns": {}}, {"id": 40153, "user": "admin", "cui": "C0525045", "value": "affective", "start": 5172, "end": 5181, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.027477+00:00", "manually_created": false, "acc": 0.2806342119688313, "meta_anns": {}}, {"id": 40154, "user": "admin", "cui": "C0012634", "value": "affection", "start": 6713, "end": 6722, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.574730+00:00", "manually_created": false, "acc": 0.2725824817730614, "meta_anns": {}}, {"id": 40155, "user": "admin", "cui": "C0042693", "value": "violence", "start": 6916, "end": 6924, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:30.930184+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40156, "user": "admin", "cui": "C1457887", "value": "symptoms", "start": 896, "end": 904, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.191922+00:00", "manually_created": false, "acc": 0.40627345165821505, "meta_anns": {}}, {"id": 40157, "user": "admin", "cui": "C0015672", "value": "fatigued", "start": 6133, "end": 6141, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.755971+00:00", "manually_created": false, "acc": 0.2811832251489571, "meta_anns": {}}, {"id": 40158, "user": "admin", "cui": "C0221423", "value": "ILLNESS", "start": 964, "end": 971, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.506164+00:00", "manually_created": false, "acc": 0.6035347839291748, "meta_anns": {}}, {"id": 40159, "user": "admin", "cui": "C0032080", "value": "disease", "start": 3010, "end": 3017, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:25.279814+00:00", "manually_created": false, "acc": 0.5799793864752787, "meta_anns": {}}, {"id": 40160, "user": "admin", "cui": "C0040822", "value": "tremor", "start": 453, "end": 459, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:16.619926+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40161, "user": "admin", "cui": "C0040822", "value": "tremor", "start": 4721, "end": 4727, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.598053+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40162, "user": "admin", "cui": "C0233494", "value": "tense", "start": 4631, "end": 4636, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.248011+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40163, "user": "admin", "cui": "C0233684", "value": "guilt", "start": 5692, "end": 5697, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:29.240783+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40164, "user": "admin", "cui": "C2129214", "value": "loose", "start": 5577, "end": 5582, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:28.739187+00:00", "manually_created": false, "acc": 0.23746743244657817, "meta_anns": {}}, {"id": 40165, "user": "admin", "cui": "C0525045", "value": "mood", "start": 4902, "end": 4906, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:26.939723+00:00", "manually_created": false, "acc": 0.4134158251199113, "meta_anns": {}}, {"id": 40166, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 2017, "end": 2019, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:22.806844+00:00", "manually_created": false, "acc": 0.26427841261871543, "meta_anns": {}}, {"id": 40167, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 2127, "end": 2129, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:23.090949+00:00", "manually_created": false, "acc": 0.3070794653825749, "meta_anns": {}}]}, {"id": 262818, "name": "Psych Text 2", "text": "\nREASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at Children's Hospital due to a recent admission for pseudoseizures. This was a 90-minute initial intake completed on 10/19/2007 with the patient's mother. I have reviewed with her the boundaries of confidentiality and the treatment consent form, and she stated that she had understood these concepts.\n\nPRESENTING PROBLEM: It is reported that the patient was recently hospitalized and has been hospitalized in 2 occasions for pseudoseizure activity. These were confirmed by video EEG and consist of trembling, shaking, and things of that nature. She does have a history of focal seizures and perhaps simple seizures, which were diagnosed when she was 5 years old, but the seizure activity that was documented during the hospital stay is of a significant different quality. I had met with them in the hospital and introduced myself and gathered some basic background information, but this is a supplement to that information, which is contained within this chart. It was reported to me that she has been under considerable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, she operates at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is against her, that she cannot do anything unless someone is there, that she needs a lot of direction, that she gets confused easily, that she thinks that people become angry at her, that she misinterprets what people are saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her often. It was reported that in addition she recently has had change in her visitation with her father, that she within the last 6 months, has started seeing her father every other weekend after he had been discharged from prison. She reported that what is stress for her is that sometimes he does not always show up for visits or is late and that upsets her a lot and that she is upset when she has to leave him, also additional stressor is at school. She reports that she has no friends that she feels unwanted and picked on. She gets confused easily at school, worries about things, and believes that the teachers become angry with her. In regards to her mood, mother reported that she is usually happy, unless things do not go her way, and then, she becomes upset and says that nobody cares about her. She sits in the couch, she become angry, does not speak. Mother sends her to her room, and she calms down, takes a couple of deep breaths, and that passes. It is reported that the patient has \"always been this way\" and that is not a change in her behavior. Mother did think that she did seem a little more depressed, that she seems more lonely. Over the last few months, she has seemed a little bit more down because she does not have any friends and that she is bored. Mother reported that she frequently complains of being bored, but has always been this way. No sleep disturbance was noted. No changes in weight. No suicidal ideation. No deficits in energy were noted. Mother did report that she does tend to worry, but her worries tend to be because she gets confused, does not understand what she needs to do, and is quite rigid, but mother did not feel that the worry was actually affecting her functioning on a daily basis.\n\nDEVELOPMENTAL HISTORY: The patient was the 5 pound 12 ounce product of an unplanned pregnancy and normal spontaneous vaginal delivery. She was delivered at 36 weeks' gestation. Mother reported that she received prenatal care. Difficulties during the pregnancy were denied. The use of drugs, alcohol, tobacco during the pregnancy were denied. No eating or sleeping difficulties during the perinatal period were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother was not able to tell me the exact kind of seizures, but it would appear from I could gather that they are focal seizures and possibly simple-to-complex partial seizures. The patient does not have a history of allergy or toileting problems. She is currently taking Trileptal 450 mg b.i.d., and she is currently taking Depakote, although she is going to be weaned off the Depakote by her neurologist. She is taking Prevacid and ibuprofen. The neurologist that she sees is Dr. Y here at Children's Hospital.\n\nFAMILY BACKGROUND: In terms of family background, the patient lives with her mother age 38 and her mother's partner, who is age 40, and with her 16-year-old sister who does not have any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990, married in 1997, separated in 2002, and divorced in 2003; he lives in the ABC area and visits them every other Saturday, but there are no overnight visits. The paternal grandparents are both living here in California, but are separated. They are 3 paternal uncles and 2 paternal aunts. In terms of the maternal family, maternal grandmother and grandfather are deceased. Maternal grandfather deceased in 1991 due to cancer. Maternal grandmother deceased in 2001 due to cancer. There are 5 maternal aunts and 2 maternal uncles, all who live in California. She reported that the patient is particularly close to her maternal aunt, whose name is Carmen. Mother's partner had been married previously; he has 2 children from that relationship, a 23-year-old, and a 20-year-old female, who really are not part of the patient's daily life. In terms of other family background, it was reported that the mother's partner gets frustrated with The patient, does not completely understand the degree of her delay and how that may affect her ability to do things as well as her interpretation of things. The sister was described as having some resentment towards her older sister, that she feels like she was just to watch out for her, care for her, and that sister has always wanted to follow her around and do the things that she does. The biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with methamphetamine. In addition, she reported there is an accusation that he had molested their niece; however, she stated that there was a trial, and he was found to be not guilty of that. She stated there was no evidence that he had ever molested the patient or her sister. There had been quite a bit of chaos in the family when the mother and father were together. There was a lot of arguing. There were a lot of moves, there was domestic violence both from father to mother and mother to father consisting mostly of pushing and shoving by mother's report. The patient did observe this. After the separation, it was reported that there were continued difficulties that the father took the patient and her sister from school without mother's knowledge and had filed to get custody of them and actually ended up having custody of them for a month, and told the patient and her sister that the mother had abandoned them. Mother reported that they went to court, and there was a court order giving the mother custody back after the father went to jail. Mother stated that was approximately 5 years ago. In terms of current, mother reports that she currently works 2 jobs from 8 to 5 on Monday and Friday and from 6 to 10 on Monday, Wednesday's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on several weeknights.\n\nMother reported that she graduated from high school, had a year of college. She was an average student, had learning difficulties in reading. No psychological or drug or alcohol history was reported by mother. In terms of the biological father, mother stated that he graduated from high school, had a couple of years of college, was a good student, no learning problems or psychological problems for him were reported. Mother reported that he had a history of methamphetamine use.\n\nOther psychiatric history in the family was denied.\n\nSOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonely and bored, really does not do much for fun. Her fun consists primarily of doing crafts with mother, sewing, painting, drawing, beadwork, and things like that. It was reported that she really feels that she is bored and does not have much to do.\n\nACADEMIC BACKGROUND: The patient is in the 11th grade at High School. She has 2 regular education classes, mother could not tell me what they were, but the rest of her classes are special education. Mother could not tell me what her IQ was, although she noticed she works at about a 4th or 5th grade level. Mother reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, but she reported that overall she is a good student, but she does have sometimes some difficulties at school, becoming upset or angry regarding the little things that she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely, and that is she does not really care for school. She reported that the patient is involved in a work program through the school where she works at Pet Extreme on Mondays and Wednesdays from 3 to 8 p.m. where she stocks shelves. It is reported that she does not like to go to school because she feels like nobody likes her. She is not involved in any kind of clubs or groups at school. Mother reported that she is also not receiving CVRC services.\n\nPREVIOUS COUNSELING: Mother reported that she has been in counseling before, but mother could not give me any information about that, who did the counseling, or what it was about. She does receive evidently some peer counseling at school because she gets upset and needs help in calming down.\n\nDIAGNOSTIC SUMMARY AND IMPRESSION: It appears that the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the \"seizure episodes\" are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes in her life, also difficulty in functioning likely due to her developmental delay makes it difficult for her to understand.\n\nPLAN: My plan is to meet with the patient in approximately 1 to 2 weeks to complete a clinical interview with her, and then to begin teaching coping skills as well as explore ways for reducing her stress.\n\nDSM IV DIAGNOSES:\nAXIS I: Conversion disorder (300.11).\nAXIS II: Diagnoses deferred.\nAXIS III: Seizure disorder.\nAXIS IV: Problems with primary support group, peer problems, and educational problems.\nAXIS V: Global assessment of functioning equals 60.\n", "last_modified": "2020-04-02 00:02:47.312885+00:00", "annotations": [{"id": 40168, "user": "admin", "cui": "C0424605", "value": "developmental delays", "start": 4754, "end": 4774, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.584268+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40169, "user": "admin", "cui": "C0424605", "value": "developmental delay", "start": 8969, "end": 8988, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.453878+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40170, "user": "admin", "cui": "C0424605", "value": "developmental delay", "start": 10431, "end": 10450, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.163451+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40171, "user": "admin", "cui": "C0037317", "value": "sleep disturbance", "start": 3073, "end": 3090, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.033259+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40172, "user": "admin", "cui": "C0221423", "value": "Serious illnesses", "start": 3986, "end": 4003, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.571018+00:00", "manually_created": false, "acc": 0.5323275368561449, "meta_anns": {}}, {"id": 40173, "user": "admin", "cui": "C0036572", "value": "seizure activity", "start": 761, "end": 777, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.671059+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40174, "user": "admin", "cui": "C0751495", "value": "focal seizures", "start": 662, "end": 676, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.352559+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40175, "user": "admin", "cui": "C0751495", "value": "focal seizures", "start": 4168, "end": 4182, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.087138+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40176, "user": "admin", "cui": "C1321587", "value": "deep breaths", "start": 2633, "end": 2645, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.677435+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40177, "user": "admin", "cui": "C0011570", "value": "depressed", "start": 2814, "end": 2823, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.867206+00:00", "manually_created": false, "acc": 0.4463628826738748, "meta_anns": {}}, {"id": 40178, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 696, "end": 704, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.506904+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40179, "user": "admin", "cui": "C0009676", "value": "confused", "start": 1472, "end": 1480, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.003873+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40180, "user": "admin", "cui": "C0009676", "value": "confused", "start": 2239, "end": 2247, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.333429+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40181, "user": "admin", "cui": "C0009676", "value": "confused", "start": 3271, "end": 3279, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.380571+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40182, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4045, "end": 4053, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.721906+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40183, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4104, "end": 4112, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.905824+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40184, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 4222, "end": 4230, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.244750+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40185, "user": "admin", "cui": "C0036572", "value": "seizures", "start": 10256, "end": 10264, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.983340+00:00", "manually_created": false, "acc": 1.0, "meta_anns": {}}, {"id": 40186, "user": "admin", "cui": "C0042693", "value": "violence", "start": 6761, "end": 6769, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.113225+00:00", "manually_created": false, "acc": 0.5207568729387311, "meta_anns": {}}, {"id": 40187, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 10165, "end": 10173, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.621318+00:00", "manually_created": false, "acc": 0.4607705290520051, "meta_anns": {}}, {"id": 40188, "user": "admin", "cui": "C0012634", "value": "disorder", "start": 10803, "end": 10811, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.682912+00:00", "manually_created": false, "acc": 0.27637478713015495, "meta_anns": {}}, {"id": 40189, "user": "admin", "cui": "C0948008", "value": "regards", "start": 2345, "end": 2352, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.495178+00:00", "manually_created": false, "acc": 0.159337211157037, "meta_anns": {}}, {"id": 40190, "user": "admin", "cui": "C0036572", "value": "seizure", "start": 10225, "end": 10232, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.822372+00:00", "manually_created": false, "acc": 0.6469174173186296, "meta_anns": {}}, {"id": 40191, "user": "admin", "cui": "C0014544", "value": "Seizure", "start": 10795, "end": 10802, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.516113+00:00", "manually_created": false, "acc": 0.2791360767228189, "meta_anns": {}}, {"id": 40192, "user": "admin", "cui": "C0038443", "value": "stress", "start": 10691, "end": 10697, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:46.333634+00:00", "manually_created": false, "acc": 0.4382306562370382, "meta_anns": {}}, {"id": 40193, "user": "admin", "cui": "C0598853", "value": "gets", "start": 1467, "end": 1471, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.854249+00:00", "manually_created": false, "acc": 0.2795094592446681, "meta_anns": {}}, {"id": 40194, "user": "admin", "cui": "C0598853", "value": "gets", "start": 2234, "end": 2238, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:42.171073+00:00", "manually_created": false, "acc": 0.29605035852055084, "meta_anns": {}}, {"id": 40195, "user": "admin", "cui": "C0598853", "value": "gets", "start": 3266, "end": 3270, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:43.188890+00:00", "manually_created": false, "acc": 0.4586198144089846, "meta_anns": {}}, {"id": 40196, "user": "admin", "cui": "C0598853", "value": "gets", "start": 5787, "end": 5791, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.957745+00:00", "manually_created": false, "acc": 0.25609561014110926, "meta_anns": {}}, {"id": 40197, "user": "admin", "cui": "C0152244", "value": "ABC", "start": 4950, "end": 4953, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.780187+00:00", "manually_created": false, "acc": 0.21349838406864965, "meta_anns": {}}, {"id": 40198, "user": "admin", "cui": "C0242510", "value": "use", "start": 8176, "end": 8179, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:45.298889+00:00", "manually_created": false, "acc": 0.4148741715818776, "meta_anns": {}}, {"id": 40199, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 56, "end": 58, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:41.179347+00:00", "manually_created": false, "acc": 0.5418885641080896, "meta_anns": {}}, {"id": 40200, "user": "admin", "cui": "C0011884", "value": "Dr", "start": 4532, "end": 4534, "validated": true, "correct": false, "deleted": true, "alternative": false, "killed": false, "last_modified": "2020-04-13 12:54:44.411609+00:00", "manually_created": false, "acc": 0.4307385537380527, "meta_anns": {}}]}]}]}
\ No newline at end of file
diff --git a/v1/medcat-trainer/notebook_docs/example_data/README.md b/v1/medcat-trainer/notebook_docs/example_data/README.md
new file mode 100644
index 000000000..7280f2d1e
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/example_data/README.md
@@ -0,0 +1,4 @@
+# Example Data
+The data in the following files is from http://mtsamples.com/
+
+We have collated 20 records from the Neurology and Orthopedic notes for demonstration purposes only.
\ No newline at end of file
diff --git a/v1/medcat-trainer/notebook_docs/example_data/cardio.csv b/v1/medcat-trainer/notebook_docs/example_data/cardio.csv
new file mode 100644
index 000000000..2791e8c49
--- /dev/null
+++ b/v1/medcat-trainer/notebook_docs/example_data/cardio.csv
@@ -0,0 +1,21 @@
+,name,chartdate,category,text
+0,0-38541,01/01/2075,Cardiovascular / Pulmonary,"Dear Sample Doctor:,Thank you for referring Mr. <patient-1> for cardiac evaluation.  <date-1><patient-1> is a 67-year-old, obese male who has a history of therapy-controlled hypertension, borderline diabetes, and obesity.  He has a family history of coronary heart disease but denies any symptoms of angina pectoris or effort intolerance.  Specifically, no chest discomfort of any kind, no dyspnea on exertion unless extreme exertion is performed, no orthopnea or PND.  He is known to have a mother with coronary heart disease.  He has never been a smoker.  He has never had a syncopal episode, MI, or CVA.  He had his gallbladder removed.  No bleeding tendencies.  No history of DVT or pulmonary embolism.  The patient is retired, rarely consumes alcohol and consumes coffee moderately.  He apparently has a sleep disorder, according to his wife (not in the office), the patient snores and stops breathing during sleep.  He is allergic to codeine and aspirin (angioedema).,Physical exam revealed a middle-aged man weighing 283 pounds for a height of 5 feet 11 inches.  His heart rate was 98 beats per minute and regular.  His blood pressure was 140/80 mmHg in the right arm in a sitting position and 150/80 mmHg in a standing position.  He is in no distress.  Venous pressure is normal.  Carotid pulsations are normal without bruits.  The lungs are clear.  Cardiac exam was normal.  The abdomen was obese and organomegaly was not palpated.  There were no pulsatile masses or bruits.  The femoral pulses were 3+ in character with a symmetrical distribution and dorsalis pedis and posterior tibiales were 3+ in character.  There was no peripheral edema.  ,He had a chemistry profile, which suggests diabetes mellitus with a fasting blood sugar of 136 mg/dl.  Renal function was normal.  His lipid profile showed a slight increase in triglycerides with normal total cholesterol and HDL and an acceptable range of LDL.  His sodium was a little bit increased.  His A1c hemoglobin was increased.  He had a spirometry, which was reported as normal.  ,He had a resting electrocardiogram on December 20, 2002, which was also normal.  He had a treadmill Cardiolite, which was performed only to stage 2 and was terminated by the supervising physician when the patient achieved 90% of the predicted maximum heart rate.  There were no symptoms or ischemia by EKG.  There was some suggestion of inferior wall ischemia with normal wall motion by Cardiolite imaging.,In summary, we have a 67-year-old gentleman with risk factors for coronary heart disease.  I am concerned with possible diabetes and a likely metabolic syndrome of this gentleman with truncal obesity, hypertension, possible insulin resistance, and some degree of fasting hyperglycemia, as well as slight triglyceride elevation.  He denies any symptoms of coronary heart disease, but he probably has some degree of coronary atherosclerosis, possibly affecting the inferior wall by functional testings.  ,In view of the absence of symptoms, medical therapy is indicated at the present time, with very aggressive risk factor modification.  I explained and discussed extensively with the patient, the benefits of regular exercise and a walking program was given to the patient.  He also should start aggressively losing weight.  I have requested additional testing today, which will include an apolipoprotein B, LPa lipoprotein, as well as homocystine, and cardio CRP to further assess his risk of atherosclerosis.  ,In terms of medication, I have changed his verapamil for a long acting beta-blocker, he should continue on an ACE inhibitor and his Plavix.  The patient is allergic to aspirin.  I also will probably start him on a statin, if any of the studies that I have recommended come back abnormal and furthermore, if he is confirmed to have diabetes.  Along this line, perhaps, we should consider obtaining the advice of an endocrinologist to decide whether this gentleman needs treatment for diabetes, which I believe he should.  This, however, I will leave entirely up to you to decide.  If indeed, he is considered to be a diabetic, a much more aggressive program should be entertained for reducing the risks of atherosclerosis in general, and coronary artery disease in particular.,I do not find an indication at this point in time to proceed with any further testing, such as coronary angiography, in the absence of symptoms.,If you have any further questions, please do not hesitate to let me know.,Thank you once again for this kind referral.,Sincerely,,Sample <Doctor-1>, M.D."
+1,1-2220,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+2,2-70301,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+3,3-32213,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+4,4-39715,01/01/2078,Cardiovascular / Pulmonary,"REASON FOR CONSULT: , Peripheral effusion on the CAT scan.,HISTORY OF PRESENT ILLNESS: , The patient is a 70-year-old Caucasian female with prior history of lung cancer, status post upper lobectomy.  She was recently diagnosed with recurrent pneumonia and does have a cancer on the CAT scan, lung cancer with metastasis.  The patient had a visiting nurse for Christmas and started having abdominal pain, nausea and vomiting for which, she was admitted.  She had a CAT scan of the abdomen done, showed moderate pericardial effusion for which cardiology consult was requested.  She had an echo done, which shows moderate pericardial effusion with early tamponade.  The patient has underlying shortness of breath because of COPD, emphysema and chronic cough.  However, denies any dizziness, syncope, presyncope, palpitation.  Denies any prior history of coronary artery disease.,ALLERGIES: , No known drug allergies.,MEDICATIONS: , At this time, she is on hydromorphone p.r.n., erythromycin, ceftriaxone, calcium carbonate, Ambien.  She is on oxygen and nebulizer.,PAST MEDICAL HISTORY: , History of COPD, emphysema, pneumonia, and lung cancer.,PAST SURGICAL HISTORY:  ,Hip surgery and resection of the lung cancer 10 years ago.,SOCIAL HISTORY:,  Still smokes, but less than before.  Drinks socially.,FAMILY HISTORY:,  Noncontributory.,REVIEW OF SYSTEMS: , Denies any syncope, presyncope, palpitations, shortness of breath, cough, nausea, vomiting, or diarrhea.,PHYSICAL EXAMINATION:,GENERAL:  The patient is comfortable not in any distress.,VITAL SIGNS:  Blood pressure 121/79, Pulse rate 94, respiratory rate 19, and temperature 97.6.,HEENT:  Atraumatic and normocephalic.,NECK:  Supple.  No JVD.  No carotid bruit.,CHEST:  Breath sounds vesicular.  Clear on auscultation.,HEART:  PMI could not be localized.  S2 and S2 regular.  No S3, no S4.  No murmur.,ABDOMEN:  Soft and nontender.  Positive bowel sounds.,EXTREMITIES:  No cyanosis, clubbing, or edema.  Pulse 2+.,CNS:  Alert, awake, and oriented x3.,EKG shows normal sinus rhythm, low voltage.,LABORATORY DATA: , White cell count 7.3, hemoglobin 12.9, hematocrit 38.1, and platelet at 322,000.  Sodium 135, potassium 5, BUN 6, creatinine 1.2, glucose 71, alkaline phosphatase 263, total protein 5.3, lipase 414, and amylase 57.,DIAGNOSTIC STUDIES:,  Chest x-ray shows left upper lobe airspace disease consistent with pneumonia _______.  CT abdomen showed diffuse replacement of the _______ metastasis, hepatomegaly, perihepatic ascites, moderate pericardial effusion, small left _______ sigmoid diverticulosis.,ASSESSMENT:,1.  Moderate peripheral effusion with early tamponade, probably secondary to lung cancer.,2.  Lung cancer with metastasis most likely.,3.  Pneumonia.,4.  COPD.,PLAN: , We will get CT surgery consult for pericardial window.  Continue present medication."
+5,5-9560,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+6,6-37028,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+7,7-20061,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+8,8-21954,01/01/2065,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks."
+9,9-33737,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+10,10-30713,01/01/2069,Cardiovascular / Pulmonary,"CHIEF COMPLAINT:,  Rule out obstructive sleep apnea syndrome.,Sample Patient is a pleasant, 61-year-old, obese, African-American male with a past medical history significant for hypertension, who presents to the Outpatient Clinic with complaints of loud snoring and witnessed apnea episodes by his wife for at least the past five years.  He denies any gasping, choking, or coughing episodes while asleep at night.  His bedtime is between 10 to 11 p.m., has no difficulty falling asleep, and is usually out of bed around 7 a.m. feeling refreshed.  He has two to three episodes of nocturia per night.  He denies any morning symptoms.  He has mild excess daytime sleepiness manifested by dozing off during boring activities.,PAST MEDICAL HISTORY:,  Hypertension, gastritis, and low back pain.,PAST SURGICAL HISTORY:,  TURP.,MEDICATIONS:,  Hytrin, Motrin, Lotensin, and Zantac.,ALLERGIES:,  None.,FAMILY HISTORY:,  Hypertension.,SOCIAL HISTORY:,  Significant for about a 20-pack-year tobacco use, quit in 1991.  No ethanol use or illicit drug use.  He is married.  He has one dog at home.  He used to be employed at Budd Automotors as a die setter for about 37 to 40 years.,REVIEW OF SYSTEMS:,  His weight has been steady over the years.  Neck collar size is 17½"".  He denies any chest pain, cough, or shortness of breath.  Last chest x-ray within the past year, per his report, was normal.,PHYSICAL EXAM:,  A pleasant, obese, African-American male in no apparent respiratory distress.  T:  98.  P:  90.  RR:  20.  BP:  156/90.  O2 saturation:  97% on room air.  Ht:  5' 5"".  Wt:  198 lb.  HEENT:  A short thick neck, low-hanging palate, enlarged scalloped tongue, narrow foreshortened pharynx, clear nares, and no JVD.  CARDIAC:  Regular rate and rhythm without any adventitious sounds.  CHEST:  Clear lungs bilaterally. ABDOMEN:  An obese abdomen with active bowel sounds.  EXTREMITIES:  No cyanosis, clubbing, or edema.  NEUROLOGIC:  Non-focal.,IMPRESSION:,1.  Probable obstructive sleep apnea syndrome.,2.  Hypertension.,3.  Obesity.,4.  History of tobacco use.,PLAN:,1.  We will schedule an overnight sleep study to evaluate obstructive sleep apnea syndrome.,2.  Encouraged weight loss.,3.  Check TSH.,4.  Asked not to drive and engage in any activity that could endanger himself or others while sleepy.,5.  Asked to return to the clinic one week after sleep the study is done."
+11,11-66650,01/01/2069,Cardiovascular / Pulmonary,"INDICATIONS FOR PROCEDURE:, This is a 61-year-old, white male with onset of chest pain at 04: 30 this morning, with history of on and off chest discomfort over the past several days. CPK is already over 1000. There is ST elevation in leads II and aVF, as well as a Q wave. The chest pain is now gone, mild residual shortness of breath, no orthopnea. Cardiac monitor shows resolution of ST elevation lead III.,DESCRIPTION OF PROCEDURE:, Following sterile prep and drape of the right groin, installation of 1% Xylocaine anesthesia, the right common femoral artery was percutaneously entered and 6-French sheath inserted. ACT approximately 165 seconds on heparin. Borderline hypotension 250 mL fluid bolus given and nitroglycerin patch removed. Selective left and right coronary injections performed using Judkins coronary catheters with a 6-French pigtail catheter used to obtain left ventricular pressures and left ventriculography. Left pullback pressure. Sheath injection. Hemostasis obtained with a 6-French Angio-Seal device. He tolerated the procedure well and was transported to the Cardiac Step-Down Unit in stable condition.,HEMODYNAMIC DATA:, Left ventricular end diastolic pressure elevated post A-wave at 25 mm of Mercury with no aortic valve systolic gradient on pullback.,ANGIOGRAPHIC FINDINGS:,I. Left coronary artery: The left main coronary artery is unremarkable. The left anterior descending has 30 to 40% narrowing with tortuosity in its proximal portion, patent first septal perforator branch. The first diagonal branch is a 2 mm vessel with a 90% ostial stenosis. The second diagonal branch is unremarkable, as are the tiny distal diagonal branches. The intermediate branch is a small, normal vessel. The ostial non-dominant circumflex has some contrast thinning, but no stenosis, normal obtuse marginal branch, and small AV sulcus circumflex branch.,II. Right coronary artery: The right coronary artery is a large, dominant vessel which gives off large posterior descending and posterolateral left ventricular branches. There are luminal irregularities, less than 25%, within the proximal to mid vessel. Some contrast thinning is present in the distal RCA just before the bifurcation into posterior descending and posterolateral branches. A 25%, smooth narrowing at the origin of the posterior descending branch. Posterolateral branch is unremarkable and quite large, with secondary and tertiary branches.,III. Left ventriculogram: The left ventricle is normal in size. Ejection fraction estimated at 40 to 45%. No mitral regurgitation. Severe hypokinesis to akinesis is present in the posterobasal and posteromedial segments with normal anteroapical wall motion.,DISCUSSION:, Recent inferior myocardial infarction with only minor contrast thinning distal RCA remaining on coronary angiography with resolution of chest pain and ST segment elevation. Left coronary system has one hemodynamically significant stenosis (a 90% ostial stenosis at the first diagonal branch, which is a 2 mm vessel). Left ventricular function is reduced with ejection fraction 40 to 45% with inferior wall motion abnormality.,PLAN:, Medical treatment, including Plavix and nitrates, in addition to beta blocker, aspirin, and aggressive lipid reduction."
+12,12-24031,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+13,13-59100,01/01/2060,Cardiovascular / Pulmonary,"PROCEDURE: , Endotracheal intubation.,INDICATION: , Respiratory failure.,BRIEF HISTORY: , The patient is a 52-year-old male with metastatic osteogenic sarcoma.  He was admitted two days ago with small bowel obstruction.  He has been on Coumadin for previous PE and currently on heparin drip.  He became altered and subsequently deteriorated quite rapidly to the point where he is no longer breathing on his own and has minimal responsiveness.  A code blue was called.  On my arrival, the patient's vital signs are stable.  His blood pressure is systolically in 140s and heart rate 80s.  He however has 0 respiratory effort and is unresponsive to even painful stimuli.  The patient was given etomidate 20 mg.,DESCRIPTION OF PROCEDURE:  ,The patient positioned appropriate equipment at the bedside, given 20 mg of etomidate and 100 mg of succinylcholine.  Mac-4 blade was used.  A 7.5 ET tube placed to 24th teeth.  There is good color change on the capnographer with bilateral breath sounds.  Following intubation, the patient's blood pressure began to drop.  He was given 2 L of bolus.  I started him on dopamine drip at 10 mcg.  Dr. X was at the bedside, who is the primary caregiver, he assumed the care of the patient, will be transferred to the ICU.  Chest x-ray will be reviewed and Pulmonary will be consulted."
+14,14-47085,01/01/2049,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS: , The patient is a 41-year-old African-American male previously well known to me.  He has a previous history of aortic valve disease, status post aortic valve replacement on 10/15/2007, for which he has been on chronic anticoagulation.  There is a previous history of paroxysmal atrial fibrillation and congestive heart failure, both of which have been stable prior to this admission.  He has a previous history of transient ischemic attack with no residual neurologic deficits.,The patient has undergone surgery by Dr. X for attempted nephrolithotomy.  The patient has experienced significant postoperative bleeding, for which it has been necessary to discontinue all anticoagulation.  The patient is presently seen at the request of Dr. X for management of anticoagulation and his above heart disease.,PAST MEDICAL AND SURGICAL HISTORY:,1.  Type I diabetes mellitus.,2.  Hyperlipidemia.,3.  Hypertension.,4.  Morbid obesity.,5.  Sleep apnea syndrome.,6.  Status post thyroidectomy for thyroid carcinoma.,REVIEW OF SYSTEMS:,General:  Unremarkable.,Cardiopulmonary:  No chest pain, shortness of breath, palpitations, or dizziness.,Gastrointestinal:  Unremarkable.,Genitourinary:  See above.,Musculoskeletal:  Unremarkable.,Neurologic:  Unremarkable.,FAMILY HISTORY: , There are no family members with coronary artery disease.  His mother has congestive heart failure.,SOCIAL HISTORY:  ,The patient is married.  He lives with his wife.  He is employed as a barber.  He does not use alcohol, tobacco, or illicit drugs.,MEDICATIONS PRIOR TO ADMISSION:,1.  Clonidine 0.3 mg b.i.d.,2.  Atenolol 50 mg daily.,3.  Simvastatin 80 mg daily.,4.  Furosemide 40 mg daily.,5.  Metformin 1000 mg b.i.d.,6.  Hydralazine 25 mg t.i.d.,7.  Diovan 320 mg daily.,8.  Lisinopril 40 mg daily.,9.  Amlodipine 10 mg daily.,10.  Lantus insulin 50 units q.p.m.,11.  KCl 20 mEq daily.,12.  NovoLog sliding scale insulin coverage.,13.  Warfarin 7.5 mg daily.,14.  Levothyroxine 0.2 mg daily.,15.  Folic acid 1 mg daily.,ALLERGIES: , None.,PHYSICAL EXAMINATION:,General:  A well-appearing, obese black male.,Vital Signs:  BP 140/80, HR 88, respirations 16, and afebrile.,HEENT:  Grossly normal.,Neck:  Normal.  Thyroid, normal.  Carotid, normal upstroke, no bruits.,Chest:  Midline sternotomy scar.,Lungs:  Clear.,Heart:  PMI fifth intercostal space mid clavicular line.  Normal S1 and prosthetic S2.  No murmur, rub, gallop, or click.,Abdomen:  Soft and nontender.  No palpable mass or hepatosplenomegaly."
+15,15-16812,01/01/2049,Cardiovascular / Pulmonary,"MEDICATIONS: , Plavix, atenolol, Lipitor, and folic acid.,CLINICAL HISTORY:  ,This is a 41-year-old male patient who comes in with chest pain, had had a previous MI in 07/2003 and stents placement in 2003, who comes in for a stress myocardial perfusion scan.,With the patient at rest, 10.3 mCi of Cardiolite technetium-99 m sestamibi was injected and myocardial perfusion imaging was obtained.,PROCEDURE AND INTERPRETATION:  ,The patient exercised for a total of 12 minutes on the standard Bruce protocol.  The peak workload was 12.8 METS.  The resting heart rate was 57 beats per minute and the peak heart rate was 123 beats per minute, which was 69% of the age-predicted maximum heart rate response.  The blood pressure response was normal with a resting blood pressure of 130/100 and a peak blood pressure of 158/90.  The test was stopped due to fatigue and leg pain.  EKG at rest showed normal sinus rhythm.  The peak stress EKG did not reveal any ischemic ST-T wave abnormalities.  There was ventricular bigeminy seen during exercise, but no sustained tachycardia was seen.  At peak, there was no chest pain noted.  The test was stopped due to fatigue and left pain.  At peak stress, the patient was injected with 30.3 mCi of Cardiolite technetium-99 m sestamibi and myocardial perfusion imaging was obtained, and was compared to resting myocardial perfusion imaging.,MYOCARDIAL PERFUSION IMAGING:,1.  The overall quality of the scan was good.,2.  There was no diagnostic abnormality on the rest and stress myocardial perfusion imaging.,3.  The left ventricular cavity appeared normal in size.,4.  Gated SPECT images revealed mild septal hypokinesis and mild apical hypokinesis.  Overall left ventricular systolic function was low normal with calculated ejection fraction of 46% at rest.,CONCLUSIONS:,1.  Good exercise tolerance.,2.  Less than adequate cardiac stress.  The patient was on beta-blocker therapy.,3.  No EKG evidence of stress induced ischemia.,4.  No chest pain with stress.,5.  Mild ventricular bigeminy with exercise.,6.  No diagnostic abnormality on the rest and stress myocardial perfusion imaging.,7.  Gated SPECT images revealed septal and apical hypokinesis with overall low normal left ventricular systolic function with calculated ejection fraction of 46% at rest."
+16,16-30755,01/01/2049,Cardiovascular / Pulmonary,"MEDICATIONS: , Plavix, atenolol, Lipitor, and folic acid.,CLINICAL HISTORY:  ,This is a 41-year-old male patient who comes in with chest pain, had had a previous MI in 07/2003 and stents placement in 2003, who comes in for a stress myocardial perfusion scan.,With the patient at rest, 10.3 mCi of Cardiolite technetium-99 m sestamibi was injected and myocardial perfusion imaging was obtained.,PROCEDURE AND INTERPRETATION:  ,The patient exercised for a total of 12 minutes on the standard Bruce protocol.  The peak workload was 12.8 METS.  The resting heart rate was 57 beats per minute and the peak heart rate was 123 beats per minute, which was 69% of the age-predicted maximum heart rate response.  The blood pressure response was normal with a resting blood pressure of 130/100 and a peak blood pressure of 158/90.  The test was stopped due to fatigue and leg pain.  EKG at rest showed normal sinus rhythm.  The peak stress EKG did not reveal any ischemic ST-T wave abnormalities.  There was ventricular bigeminy seen during exercise, but no sustained tachycardia was seen.  At peak, there was no chest pain noted.  The test was stopped due to fatigue and left pain.  At peak stress, the patient was injected with 30.3 mCi of Cardiolite technetium-99 m sestamibi and myocardial perfusion imaging was obtained, and was compared to resting myocardial perfusion imaging.,MYOCARDIAL PERFUSION IMAGING:,1.  The overall quality of the scan was good.,2.  There was no diagnostic abnormality on the rest and stress myocardial perfusion imaging.,3.  The left ventricular cavity appeared normal in size.,4.  Gated SPECT images revealed mild septal hypokinesis and mild apical hypokinesis.  Overall left ventricular systolic function was low normal with calculated ejection fraction of 46% at rest.,CONCLUSIONS:,1.  Good exercise tolerance.,2.  Less than adequate cardiac stress.  The patient was on beta-blocker therapy.,3.  No EKG evidence of stress induced ischemia.,4.  No chest pain with stress.,5.  Mild ventricular bigeminy with exercise.,6.  No diagnostic abnormality on the rest and stress myocardial perfusion imaging.,7.  Gated SPECT images revealed septal and apical hypokinesis with overall low normal left ventricular systolic function with calculated ejection fraction of 46% at rest."
+17,17-20736,01/01/2049,Cardiovascular / Pulmonary,"HISTORY OF PRESENT ILLNESS: , The patient is a 41-year-old African-American male previously well known to me.  He has a previous history of aortic valve disease, status post aortic valve replacement on 10/15/2007, for which he has been on chronic anticoagulation.  There is a previous history of paroxysmal atrial fibrillation and congestive heart failure, both of which have been stable prior to this admission.  He has a previous history of transient ischemic attack with no residual neurologic deficits.,The patient has undergone surgery by Dr. X for attempted nephrolithotomy.  The patient has experienced significant postoperative bleeding, for which it has been necessary to discontinue all anticoagulation.  The patient is presently seen at the request of Dr. X for management of anticoagulation and his above heart disease.,PAST MEDICAL AND SURGICAL HISTORY:,1.  Type I diabetes mellitus.,2.  Hyperlipidemia.,3.  Hypertension.,4.  Morbid obesity.,5.  Sleep apnea syndrome.,6.  Status post thyroidectomy for thyroid carcinoma.,REVIEW OF SYSTEMS:,General:  Unremarkable.,Cardiopulmonary:  No chest pain, shortness of breath, palpitations, or dizziness.,Gastrointestinal:  Unremarkable.,Genitourinary:  See above.,Musculoskeletal:  Unremarkable.,Neurologic:  Unremarkable.,FAMILY HISTORY: , There are no family members with coronary artery disease.  His mother has congestive heart failure.,SOCIAL HISTORY:  ,The patient is married.  He lives with his wife.  He is employed as a barber.  He does not use alcohol, tobacco, or illicit drugs.,MEDICATIONS PRIOR TO ADMISSION:,1.  Clonidine 0.3 mg b.i.d.,2.  Atenolol 50 mg daily.,3.  Simvastatin 80 mg daily.,4.  Furosemide 40 mg daily.,5.  Metformin 1000 mg b.i.d.,6.  Hydralazine 25 mg t.i.d.,7.  Diovan 320 mg daily.,8.  Lisinopril 40 mg daily.,9.  Amlodipine 10 mg daily.,10.  Lantus insulin 50 units q.p.m.,11.  KCl 20 mEq daily.,12.  NovoLog sliding scale insulin coverage.,13.  Warfarin 7.5 mg daily.,14.  Levothyroxine 0.2 mg daily.,15.  Folic acid 1 mg daily.,ALLERGIES: , None.,PHYSICAL EXAMINATION:,General:  A well-appearing, obese black male.,Vital Signs:  BP 140/80, HR 88, respirations 16, and afebrile.,HEENT:  Grossly normal.,Neck:  Normal.  Thyroid, normal.  Carotid, normal upstroke, no bruits.,Chest:  Midline sternotomy scar.,Lungs:  Clear.,Heart:  PMI fifth intercostal space mid clavicular line.  Normal S1 and prosthetic S2.  No murmur, rub, gallop, or click.,Abdomen:  Soft and nontender.  No palpable mass or hepatosplenomegaly."
+18,18-53713,01/01/2046,Cardiovascular / Pulmonary,"REASON FOR CONSULTATION: , Management of blood pressure.,HISTORY OF PRESENT ILLNESS: , The patient is a 38-year-old female admitted following a delivery.  The patient had a cesarean section.  Following this, the patient was treated for her blood pressure.  She was sent home and she came back again apparently with uncontrolled blood pressure.  She is on multiple medications, unable to control the blood pressure.  From cardiac standpoint, the patient denies any symptoms of chest pain, or shortness of breath.  She complains of fatigue and tiredness.  The child had some congenital anomaly, was transferred to Hospital, where the child has had surgery.  The patient is in intensive care unit.,CORONARY RISK FACTORS:,  History of hypertension, history of gestational diabetes mellitus, nonsmoker, and cholesterol is normal.  No history of established coronary artery disease and family history noncontributory for coronary disease.,FAMILY HISTORY: , Nonsignificant.,SURGICAL HISTORY:  ,No major surgery except for C-section.,MEDICATIONS:,  Presently on Cardizem and metoprolol were discontinued.  Started on hydralazine 50 mg t.i.d., and labetalol 200 mg b.i.d., hydrochlorothiazide, and insulin supplementation.,ALLERGIES: , None.,PERSONAL HISTORY: , Nonsmoker.  Does not consume alcohol.  No history of recreational drug use.,PAST MEDICAL HISTORY:,  Hypertension, gestational diabetes mellitus, pre-eclampsia, this is her third child with one miscarriage.,REVIEW OF SYSTEMS:,CONSTITUTIONAL:  No history of fever, rigors, or chills.,HEENT:  No history of cataract, blurry vision, or glaucoma.,CARDIOVASCULAR:  No congestive heart.  No arrhythmia.,RESPIRATORY:  No history of pneumonia or valley fever.,GASTROINTESTINAL:  No epigastric discomfort, hematemesis, or melena.,UROLOGIC:  No frequency or urgency.,MUSCULOSKELETAL:  No arthritis or muscle weakness.,SKIN:  Nonsignificant.,NEUROLOGICAL:  No TIA.  No CVA.  No seizure disorder.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Pulse of 86, blood pressure 175/86, afebrile, and respiratory rate 16 per minute.,HEENT:  Atraumatic and normocephalic.,NECK:  Neck veins are flat.,LUNGS:  Clear.,HEART:  S1 and S2 regular.,ABDOMEN:  Soft and nontender.,EXTREMITIES:  No edema.  Pulses palpable.,LABORATORY DATA: , EKG shows sinus tachycardia with nonspecific ST-T changes.  Labs were noted.  BUN and creatinine within normal limits.,IMPRESSION:,1.  Preeclampsia, status post delivery with Cesarean section with uncontrolled blood pressure.,2.  No prior history of cardiac disease except for borderline gestational diabetes mellitus.,RECOMMENDATIONS:,1.  We will get an echocardiogram for assessment left ventricular function.,2.  The patient will start on labetalol and hydralazine to see how see fairs.,3.  Based on response to medication, we will make further adjustments.  Discussed with the patient regarding plan of care, fully understands and consents for the same.  All the questions answered in detail."
+19,19-31513,01/01/2046,Cardiovascular / Pulmonary,"REASON FOR CONSULTATION: , Management of blood pressure.,HISTORY OF PRESENT ILLNESS: , The patient is a 38-year-old female admitted following a delivery.  The patient had a cesarean section.  Following this, the patient was treated for her blood pressure.  She was sent home and she came back again apparently with uncontrolled blood pressure.  She is on multiple medications, unable to control the blood pressure.  From cardiac standpoint, the patient denies any symptoms of chest pain, or shortness of breath.  She complains of fatigue and tiredness.  The child had some congenital anomaly, was transferred to Hospital, where the child has had surgery.  The patient is in intensive care unit.,CORONARY RISK FACTORS:,  History of hypertension, history of gestational diabetes mellitus, nonsmoker, and cholesterol is normal.  No history of established coronary artery disease and family history noncontributory for coronary disease.,FAMILY HISTORY: , Nonsignificant.,SURGICAL HISTORY:  ,No major surgery except for C-section.,MEDICATIONS:,  Presently on Cardizem and metoprolol were discontinued.  Started on hydralazine 50 mg t.i.d., and labetalol 200 mg b.i.d., hydrochlorothiazide, and insulin supplementation.,ALLERGIES: , None.,PERSONAL HISTORY: , Nonsmoker.  Does not consume alcohol.  No history of recreational drug use.,PAST MEDICAL HISTORY:,  Hypertension, gestational diabetes mellitus, pre-eclampsia, this is her third child with one miscarriage.,REVIEW OF SYSTEMS:,CONSTITUTIONAL:  No history of fever, rigors, or chills.,HEENT:  No history of cataract, blurry vision, or glaucoma.,CARDIOVASCULAR:  No congestive heart.  No arrhythmia.,RESPIRATORY:  No history of pneumonia or valley fever.,GASTROINTESTINAL:  No epigastric discomfort, hematemesis, or melena.,UROLOGIC:  No frequency or urgency.,MUSCULOSKELETAL:  No arthritis or muscle weakness.,SKIN:  Nonsignificant.,NEUROLOGICAL:  No TIA.  No CVA.  No seizure disorder.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Pulse of 86, blood pressure 175/86, afebrile, and respiratory rate 16 per minute.,HEENT:  Atraumatic and normocephalic.,NECK:  Neck veins are flat.,LUNGS:  Clear.,HEART:  S1 and S2 regular.,ABDOMEN:  Soft and nontender.,EXTREMITIES:  No edema.  Pulses palpable.,LABORATORY DATA: , EKG shows sinus tachycardia with nonspecific ST-T changes.  Labs were noted.  BUN and creatinine within normal limits.,IMPRESSION:,1.  Preeclampsia, status post delivery with Cesarean section with uncontrolled blood pressure.,2.  No prior history of cardiac disease except for borderline gestational diabetes mellitus.,RECOMMENDATIONS:,1.  We will get an echocardiogram for assessment left ventricular function.,2.  The patient will start on labetalol and hydralazine to see how see fairs.,3.  Based on response to medication, we will make further adjustments.  Discussed with the patient regarding plan of care, fully understands and consents for the same.  All the questions answered in detail."
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+0,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",0-7866
+1,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",1-58153
+2,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",2-93202
+3,12,01/01/2083,Neurology,"SUBJECTIVE:,  The patient is a 75-year-old female who comes in today with concerns of having a stroke.  She states she feels like she has something in her throat.  She started with some dizziness this morning and some left hand and left jaw numbness.  She said that she apparently had something about three weeks ago where she was dizzy and ended up falling down and she saw Dr. XYZ for that who gave her some Antivert.  She said that today though she woke up in the middle of the night and her left hand was numb and she was having numbness on the left side of her face, as well as the left side of her neck.  She said she had an earache a day or so ago.  She has not had any cold symptoms.,ALLERGIES:,  Demerol and codeine.,MEDICATIONS: , Lotensin, Lopid, metoprolol, and Darvocet.,REVIEW OF SYSTEMS:,  The patient says that she feels little bit nauseated at times.  She denies chest pain or shortness of breath and again feels like she has something in her throat.  She has been able to swallow liquids okay.  She said that she did brush her teeth this morning and did not have any fluid dripping out of her mouth.  She does say that she occasionally has numbness in her left hand prior to today.,PHYSICAL EXAMINATION:,General:  She is awake and alert, no acute distress.,Vital Signs:  Blood pressure:  175/86.  Temperature:  She is afebrile.  Pulse:  78.  Respiratory rate:  20.  O2 sat:  93% on room air.,HEENT:  Her TMs are normal bilaterally.  Posterior pharynx is unremarkable.  It should be noted that her uvula did not deviate and neither did her tongue.  When she smiles though she has some drooping of the left side of her face, as well as some mild nasolabial fold flattening.,Neck:  Without adenopathy or thyromegaly.  Carotids pulses are brisk without bruits.,Lungs:  Clear to auscultation.,Heart:  Regular rate and rhythm without murmur.,Extremities:  Her muscle strength is symmetrical and intact bilaterally.  DTRs are 2+/4+ bilaterally and muscle strength is intact in the upper extremities.  She has a positive Tinel’s sign on her left wrist.,Neurological:  I also took monofilament and she could sense it easily when testing her sensation on her face.,ASSESSMENT:,  Bell’s Palsy.,PLAN:,  We did get an EKG showed some ST segment changes anterolaterally.  The only EKG I have here is from 1998 and she actually had bypass in 1999, but there certainly does not appear to be anything acute on his EKG.  I assured her that it does not look like she has a stroke.  If she wants to prevent a stroke, obviously quitting her smoking would help.  It should be noted she also takes Synthroid and Zocor.  We are going to give her Valtrex 1 g t.i.d. for seven days and then if she starts noticing any other drooping or worsening of her symptoms on the left side of her face, she needs to come back, but I will not start her on steroids at this time, which she agreed with.",3-22921
+4,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",4-23137
+5,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",5-53908
+6,20,01/01/2072,Neurology,"DIAGNOSIS:,  Status post brain tumor removal.,HISTORY:,  The patient is a 64-year-old female referred to physical therapy following complications related to brain tumor removal.  The patient reports that on 10/24/08 she had a brain tumor removed and had left-sided weakness.  The patient was being seen in physical therapy from 11/05/08 to 11/14/08 then she began having complications.  The patient reports that she was admitted to Hospital on 12/05/08.  At that time, they found massive swelling on the brain and a second surgery was performed.  The patient then remained in acute rehab until she was discharged to home on 01/05/09.  The patient's husband, Al, is also present and he reports that during rehabilitation the patient did have a DVT in the left calf that has since been resolved.,PAST MEDICAL HISTORY: , Unremarkable.,MEDICATIONS:  ,Coumadin, Keppra, Decadron, and Glucophage.,SUBJECTIVE: , The patient reports that the pain is not an issue at this time.  The patient states that her primary concern is her left-sided weakness as related to her balance and her walking and her left arm weakness.,PATIENT GOAL:  ,To increase strength in her left leg for better balance and walking.,OBJECTIVE:,RANGE OF MOTION:  Bilateral lower extremities are within normal limits.,STRENGTH:  Bilateral lower extremities are grossly 5/5 with one repetition, except left hip reflexion 4+/5.,BALANCE:  The patient's balance was assessed with a Berg balance test.  The patient has got 46/56 points, which places her at moderate risk for falls.,GAIT:  The patient ambulates with contact guard assist.  The patient ambulates with a reciprocal gait pattern with good bilateral foot clearance.  However, the patient has been reports that with increased fatigue, left footdrop tends to occur.  A 6-minute walk test will be performed at the next visit due to time constraints.,ASSESSMENT: , The patient is a 64-year-old female referred to Physical Therapy status post brain surgery.  Examination indicates deficits in strength, balance, and ambulation.  The patient will benefit from skilled physical therapy to address these impairments.,TREATMENT PLAN: , The patient will be seen three times per week for 4 weeks and then reduce it to two times per week for 4 additional weeks.  Interventions include:,1.  Therapeutic exercise.,2.  Balance training.,3.  Gait training.,4.  Functional mobility training.,SHORT TERM GOAL TO BE COMPLETED IN 4 WEEKS:,1.  The patient is to tolerate 30 repetitions of all lower extremity exercises.,2.  The patient is to improve balance with a score of 50/56 points.,3.  The patient is to ambulate 1000 feet in a 6-minute walk test with standby assist.,LONG TERM GOAL TO BE ACHIEVED IN 8 WEEKS:,1.  The patient is to ambulate independently within her home and standby to general supervision within the community.,2.  Berg balance test to be 52/56.,3.  The patient is to ambulate a 6-minute walk test for 1500 feet independently including safe negotiation of corners and busy areas.,4.  The patient is to demonstrate safely stepping over and around objects without loss of balance.,Prognosis for the above-stated goals is good.  The above treatment plan has been discussed with the patient and her husband.  They are in agreement.",6-94050
+7,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",7-84321
+8,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",8-88746
+9,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",9-89012
+10,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",10-26076
+11,52,01/01/2027,Neurology,"XYZ Street,City, State,Dear Dr. CD:,Thank you for seeing Mr. XYZ, a pleasant 19-year-old male who has seen you in 2005 for suspected seizure activity.  He comes to my office today continuing on Dilantin 300 mg daily and has been seizure episode free for the past 2 1/2 years.  He is requesting to come off the Dilantin at this point.  Upon reviewing your 2005 note there was some discrepancy as to the true nature of his episodes to the emergency room and there was consideration to reconsider medication use.  His physical exam, neurologically, is normal at this time.  His Dilantin level is slightly low at 12.5.,I will appreciate your evaluation and recommendation as to whether we need to continue the Dilantin at this time.  I understand this will probably entail repeating his EEG and so please coordinate this through Health Center.  I await your response and whether we should continue this medication.  If you require any laboratory, we use ABC Diagnostic and any further testing that is needed should be coordinated at Health Center prior to scheduling.",11-99012
+12,60,01/01/2039,Neurology,"CHIEF COMPLAINT: , Right shoulder pain.,HISTORY: , The patient is a pleasant, 31-year-old, right-handed, white female who injured her shoulder while transferring a patient back on 01/01/02.  She formerly worked for Veteran's Home as a CNA.  She has had a long drawn out course of treatment for this shoulder.  She tried physical therapy without benefit and ultimately came to a subacromion decompression in November 2002.  She had ongoing pain and was evaluated by Dr. X who felt that she had a possible brachial plexopathy.  He also felt she had a right superficial radial neuritis and blocked this with resolution of her symptoms.  He then referred her to ABCD who did EMG testing, demonstrating a right suprascapular neuropathy although a C5 radiculopathy could not be ruled out.  MRI testing on the cervical spine was then done which was negative for disk herniation and she underwent suprascapular nerve decompression of the scapular notch on 12/18/03.  She finally went to an anterior axillary nerve block because of ongoing pain in the anterior shoulder again by Dr. X.  She comes to me for impairment rating.  She has no chronic health problems otherwise, fevers, chills, or general malaise.  She is not working.  She is right-hand dominant.  She denies any prior history of injury to her shoulder.,PAST MEDICAL HISTORY:,  Negative aside from above.,FAMILY HISTORY: , Noncontributory.,SOCIAL HISTORY:  ,Please see above.,REVIEW OF SYSTEMS:,  Negative aside from above.,PHYSICAL EXAMINATION:  ,A pleasant, age appropriate woman, moderately overweight, in no apparent distress.  Normal gait and station, normal posture, normal strength, tone, sensation and deep tendon reflexes with the exception of 4+/5 strength in the supraspinatus musculature on the right.  She has decreased motion in the right shoulder as follows.  She has 160 degrees of flexion, 155 degrees of abduction, 35 degrees of extension, 25 degrees of adduction, 45 degrees of internal rotation and 90 degrees of external rotation.  She has a positive impingement sign on the right.,ASSESSMENT:,  Right shoulder impingement syndrome, right suprascapular neuropathy.,DISCUSSION: , With a reasonable degree of medical certainty, she is at maximum medical improvement and she does have an impairment based on AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition.  The reason for this impairment is the incident of 01/01/02.  For her suprascapular neuropathy, she is rated as a grade IV motor deficit which I rate as a 13% motor deficit.  This is multiplied by a maximum upper extremity impairment for involvement of the suprascapular nerve of 16% which produces a 2% impairment of the upper extremity when the two values are multiplied together, 2% impairment of the upper extremity.  For her lack of motion in the shoulder she also has additional impairment on the right.  She has a 1% impairment of the upper extremity due to lack of shoulder flexion.  She has a 1% impairment of the upper extremity due to lack of shoulder abduction.  She has a 1% impairment of the upper extremity due to lack of shoulder adduction.  She has a 1% impairment of the upper extremity due to lack of shoulder extension.  There is no impairment for findings in shoulder external rotation.  She has a 3% impairment of the upper extremity due to lack of shoulder internal rotation.  Thus the impairment due to lack of motion in her shoulder is a 6% impairment of the upper extremity.  This combines with the 2% impairment of the upper extremity due to weakness in the suprascapular nerve root distribution to produce an 8% impairment of the upper extremity which in turn is a 5% impairment of the whole person based on the AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition, stated with a reasonable degree of medical certainty.",12-67011
+13,60,01/01/2039,Neurology,"CHIEF COMPLAINT: , Right shoulder pain.,HISTORY: , The patient is a pleasant, 31-year-old, right-handed, white female who injured her shoulder while transferring a patient back on 01/01/02.  She formerly worked for Veteran's Home as a CNA.  She has had a long drawn out course of treatment for this shoulder.  She tried physical therapy without benefit and ultimately came to a subacromion decompression in November 2002.  She had ongoing pain and was evaluated by Dr. X who felt that she had a possible brachial plexopathy.  He also felt she had a right superficial radial neuritis and blocked this with resolution of her symptoms.  He then referred her to ABCD who did EMG testing, demonstrating a right suprascapular neuropathy although a C5 radiculopathy could not be ruled out.  MRI testing on the cervical spine was then done which was negative for disk herniation and she underwent suprascapular nerve decompression of the scapular notch on 12/18/03.  She finally went to an anterior axillary nerve block because of ongoing pain in the anterior shoulder again by Dr. X.  She comes to me for impairment rating.  She has no chronic health problems otherwise, fevers, chills, or general malaise.  She is not working.  She is right-hand dominant.  She denies any prior history of injury to her shoulder.,PAST MEDICAL HISTORY:,  Negative aside from above.,FAMILY HISTORY: , Noncontributory.,SOCIAL HISTORY:  ,Please see above.,REVIEW OF SYSTEMS:,  Negative aside from above.,PHYSICAL EXAMINATION:  ,A pleasant, age appropriate woman, moderately overweight, in no apparent distress.  Normal gait and station, normal posture, normal strength, tone, sensation and deep tendon reflexes with the exception of 4+/5 strength in the supraspinatus musculature on the right.  She has decreased motion in the right shoulder as follows.  She has 160 degrees of flexion, 155 degrees of abduction, 35 degrees of extension, 25 degrees of adduction, 45 degrees of internal rotation and 90 degrees of external rotation.  She has a positive impingement sign on the right.,ASSESSMENT:,  Right shoulder impingement syndrome, right suprascapular neuropathy.,DISCUSSION: , With a reasonable degree of medical certainty, she is at maximum medical improvement and she does have an impairment based on AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition.  The reason for this impairment is the incident of 01/01/02.  For her suprascapular neuropathy, she is rated as a grade IV motor deficit which I rate as a 13% motor deficit.  This is multiplied by a maximum upper extremity impairment for involvement of the suprascapular nerve of 16% which produces a 2% impairment of the upper extremity when the two values are multiplied together, 2% impairment of the upper extremity.  For her lack of motion in the shoulder she also has additional impairment on the right.  She has a 1% impairment of the upper extremity due to lack of shoulder flexion.  She has a 1% impairment of the upper extremity due to lack of shoulder abduction.  She has a 1% impairment of the upper extremity due to lack of shoulder adduction.  She has a 1% impairment of the upper extremity due to lack of shoulder extension.  There is no impairment for findings in shoulder external rotation.  She has a 3% impairment of the upper extremity due to lack of shoulder internal rotation.  Thus the impairment due to lack of motion in her shoulder is a 6% impairment of the upper extremity.  This combines with the 2% impairment of the upper extremity due to weakness in the suprascapular nerve root distribution to produce an 8% impairment of the upper extremity which in turn is a 5% impairment of the whole person based on the AMA Guide to the Evaluation of Permanent Impairment, Fifth Edition, stated with a reasonable degree of medical certainty.",13-28811
+14,67,01/01/2070,Neurology,"REASON FOR CONSULT: , Essential tremor and torticollis.,HISTORY OF PRESENT ILLNESS: , This is a 62-year-old right-handed now left-handed white female with tremor since 5th grade.  She remembers that the tremors started in her right hand around that time subsequently later on in early 20s she was put on propranolol for the tremor and more recently within the last 10 years she has been put on primidone and clonazepam.  She thinks that her clonazepam is helping her a lot especially with anxiety and stress, and this makes the tremor better.  She has a lot of trouble with her writing because of tremor but does not report as much problem with other activities of daily living like drinking from a cup and doing her day-to-day activity.  Since around 6 to 7 years, she has had a head tremor, which is mainly ""no- no"" and occasional voice tremor also.  Additionally, the patient has been diagnosed with migraine headaches without aura, which are far and few apart.  She also has some stress incontinence.  Last MRI brain was done in 2001 reportedly normal.,CURRENT MEDICATIONS:,1.  Klonopin 0.5 mg twice a day.,2.  Primidone 100 mg b.i.d.,3.  Propranolol long-acting 80 mg once in the morning.,PAST MEDICAL HISTORY: , Essential tremor, cervical dystonia, endometriosis, migraine headaches without aura, left ear sensorineural deafness, and basal cell carcinoma resection on the nose.,PAST SURGICAL HISTORY: , L5-S1 lumbar laminectomy in 1975, exploratory laparotomy in 1967, tonsillectomy and adenoidectomy, and anal fissure surgery in 1975.,FAMILY HISTORY: , Both parents have ET and hypertension.  Maternal cousin with lupus.,SOCIAL HISTORY: , Denies any smoking or alcohol.  She is married since 44 years, has 3 children.  She used to work as a labor and delivery nurse up until early 2001 when she retired.,REVIEW OF SYSTEMS: , No fever, chills, nausea or vomiting.  No visual complaints.  She complains of hearing decreased on the left.  No chest pain or shortness of breath.  No constipation.  She does give a history of urge incontinence.  No rashes.  No depressive symptoms.,PHYSICAL EXAMINATION:,VITAL SIGNS:  Blood pressure is 131/72, pulse is 50, and weight is 71.3 kg.  HEENT:  PERRLA.  EOMI.  CARDIOVASCULAR:  S1 and S2 normal.  Regular rate and rhythm.  She does have a rash over the right ankle with a prior basal cell carcinoma was resected.  NEUROLOGIC:  Alert and oriented x4.  Speech shows a voice tremor occasionally.  Language is intact.  Cranial nerves II through XII intact.  Motor examination showed 5/5 power in all extremities with minimal increased tone.  Sensory examination was intact to light touch.  Reflexes were brisk bilaterally, but they were equal and both toes were downgoing.  Her coordination showed minimal intentional component to bilateral finger-to-nose.  Gait was intact.  Lot of swing on Romberg's.  The patient did have a tremor both upper extremities, right more than left.  She did have a head tremor, which was no-no variety, and she had a minimal torticollis with her head twisted to the left.,ASSESSMENT AND PLAN: , This 62-year-old white female has essential tremor and mild torticollis.  Tremor not bothersome for most activities of daily living, but she does have a great difficulty writing, which is totally illegible.  The patient did not wish to change any of her medication doses at this point.  We will go ahead and check MRI brain, and we will get the films later.  We will see her back in 3 months.  Also, the patient declined any possible Botox for the mild torticollis she has at this point.",14-60683
+15,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",15-96864
+16,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",16-9020
+17,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",17-14762
+18,70,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",18-81137
+19,77,01/01/2064,Neurology,"HISTORY: , The patient is a 56-year-old right-handed female with longstanding intermittent right low back pain, who was involved in a motor vehicle accident in September of 2005.  At that time, she did not notice any specific injury.  Five days later, she started getting abnormal right low back pain.  At this time, it radiates into the buttocks down the posterior aspect of her thigh and into the right lateral aspect of her calf.  Symptoms are worse when sitting for any length of time, such as driving a motor vehicle.  Mild symptoms when walking for long periods of time.  Relieved by standing and lying down.  She denies any left leg symptoms or right leg weakness.  No change in bowel or bladder function.  Symptoms have slowly progressed.  She has had Medrol Dosepak and analgesics, which have not been very effective.  She underwent a spinal epidural injection, which was effective for the first few hours, but she had recurrence of the pain by the next day.  This was done four and a half weeks ago.,On examination, lower extremities strength is full and symmetric.  Straight leg raising is normal.,OBJECTIVE:,  Sensory examination is normal to all modalities.  Full range of movement of lumbosacral spine.  Mild tenderness over lumbosacral paraspinal muscles and sacroiliac joint.  Deep tendon reflexes are 2+ and symmetric at the knees, 2 at the left ankle and 1+ at the right ankle.,NERVE CONDUCTION STUDIES:,  Motor and sensory distal latencies, evoked response, amplitudes, conduction velocities, and F-waves are normal in the lower extremities.  Right tibial H-reflex is slightly prolonged when compared to the left tibial H-reflex.,NEEDLE EMG:,  Needle EMG was performed in both lower extremities and lumbosacral paraspinal muscles using the disposable concentric needle.  It revealed increased insertional activity in the right mid and lower lumbosacral paraspinal muscles as well as right peroneus longus muscle.  There were signs of chronic denervation in right tibialis anterior, peroneus longus, gastrocnemius medialis, and left gastrocnemius medialis muscles.,IMPRESSION: , This electrical study is abnormal.  It reveals the following:,1.  A mild right L5 versus S1 radiculopathy.,2.  Left S1 nerve root irritation.  There is no evidence of active radiculopathy.,3.  There is no evidence of plexopathy, myopathy or peripheral neuropathy.,MRI of the lumbosacral spine was personally reviewed and reveals bilateral L5-S1 neuroforaminal stenosis, slightly worse on the right.  Results were discussed with the patient and her daughter.  I would recommend further course of spinal epidural injections with Dr. XYZ.  If she has no response, then surgery will need to be considered.  She agrees with this approach and will followup with you in the near future.",19-72846
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+0,7,01/01/2061,Orthopedic,"EXAM:,MRI LEFT KNEE WITHOUT CONTRAST,CLINICAL:,This is a 53-year-old female with left knee pain being evaluated for ACL tear.,FINDINGS:,This examination was performed on 10-14-05.,Normal medial meniscus without intrasubstance degeneration, surface fraying or discrete meniscal tear.,There is a discoid lateral meniscus and although there may be minimal superficial fraying along the inner edge of the body, there is no discrete tear (series #6 images #7-12).,There is a near-complete or complete tear of the femoral attachment of the anterior cruciate ligament. The ligament has a balled-up appearance consistent with at least partial retraction of most of the fibers of the ligament. There may be a few fibers still intact (series #4 images #12-14; series #5 images #12-14). The tibial fibers are normal.,Normal posterior cruciate ligament.,There is a sprain of the medial collateral ligament, with mild separation of the deep and superficial fibers at the femoral attachment (series #7 images #6-12). There is no complete tear or discontinuity and there is no meniscocapsular separation.,There is a sprain of the lateral ligament complex without focal tear or discontinuity of any of the intraarticular components.,Normal iliotibial band.,Normal quadriceps and patellar tendons.,There is contusion within the posterolateral corner of the tibia. There is also contusion within the patella at the midline patellar ridge where there is an area of focal chondral flattening (series #8 images #10-13). The medial and lateral patellar facets are otherwise normal as is the femoral trochlea in the there is no patellar subluxation.,There is a mild strain of the vastus medialis oblique muscle extending into the medial patellofemoral ligament and medial patellar retinaculum but there is no complete tear or discontinuity.,Normal lateral patellar retinaculum. There is a joint effusion and plica.,IMPRESSION:, Discoid lateral meniscus without a tear although there may be minimal superficial fraying along the inner edge of the body.  Near-complete if not complete tear of the femoral attachment of the anterior cruciate ligament.  Medial capsule sprain with associated strain of the vastus medialis oblique muscle.  There is focal contusion within the patella at the midline patella ridge. Joint effusion and plica.",0-81322
+1,7,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",1-88811
+2,7,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",2-21552
+3,9,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",3-16333
+4,9,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",4-22352
+5,14,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",5-13028
+6,14,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",6-17889
+7,16,01/01/2061,Orthopedic,"EXAM:,MRI LEFT KNEE WITHOUT CONTRAST,CLINICAL:,This is a 53-year-old female with left knee pain being evaluated for ACL tear.,FINDINGS:,This examination was performed on 10-14-05.,Normal medial meniscus without intrasubstance degeneration, surface fraying or discrete meniscal tear.,There is a discoid lateral meniscus and although there may be minimal superficial fraying along the inner edge of the body, there is no discrete tear (series #6 images #7-12).,There is a near-complete or complete tear of the femoral attachment of the anterior cruciate ligament. The ligament has a balled-up appearance consistent with at least partial retraction of most of the fibers of the ligament. There may be a few fibers still intact (series #4 images #12-14; series #5 images #12-14). The tibial fibers are normal.,Normal posterior cruciate ligament.,There is a sprain of the medial collateral ligament, with mild separation of the deep and superficial fibers at the femoral attachment (series #7 images #6-12). There is no complete tear or discontinuity and there is no meniscocapsular separation.,There is a sprain of the lateral ligament complex without focal tear or discontinuity of any of the intraarticular components.,Normal iliotibial band.,Normal quadriceps and patellar tendons.,There is contusion within the posterolateral corner of the tibia. There is also contusion within the patella at the midline patellar ridge where there is an area of focal chondral flattening (series #8 images #10-13). The medial and lateral patellar facets are otherwise normal as is the femoral trochlea in the there is no patellar subluxation.,There is a mild strain of the vastus medialis oblique muscle extending into the medial patellofemoral ligament and medial patellar retinaculum but there is no complete tear or discontinuity.,Normal lateral patellar retinaculum. There is a joint effusion and plica.,IMPRESSION:, Discoid lateral meniscus without a tear although there may be minimal superficial fraying along the inner edge of the body.  Near-complete if not complete tear of the femoral attachment of the anterior cruciate ligament.  Medial capsule sprain with associated strain of the vastus medialis oblique muscle.  There is focal contusion within the patella at the midline patella ridge. Joint effusion and plica.",7-72789
+8,17,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",8-75892
+9,17,01/01/2060,Orthopedic,"DIAGNOSIS:,  Synovitis/anterior cruciate ligament tear of the left knee.,HISTORY: , The patient is a 52-year-old male, who was referred to Physical Therapy, secondary to left knee pain.  The patient states that on 10/02/08, the patient fell in a grocery store.  He reports slipping on a grape that was on the floor.  The patient states he went to the emergency room and then followed up with his primary care physician.  The patient was then ultimately referred to Physical Therapy.  After receiving a knee brace, history and information was received through a translator as the patient is Spanish speaking only.,PAST MEDICAL HISTORY: , Past medical history is unremarkable.,MEDICAL IMAGING: , Medical imaging is significant for x-rays and MRIs.  The report was available at the time of the evaluation.  The patient reports abnormal posterior horn of medial meniscus consistent with knee degenerative change and possibly tears.,MEDICATIONS:,1.  Tramadol.,2.  Diclofenac.,3.  Advil.,4.  Tylenol.,SUBJECTIVE: , The patient rates his pain at 6/10 on the Pain Analog Scale, primarily with ambulation.  The patient does deny pain at night.  The patient does present with his knee brace on the exterior of his __________ leg and appears to be on backboard.,FUNCTIONAL ACTIVITIES AND HOBBIES:  ,Functional activities and hobbies that are currently limited include any work as the patient is currently unemployed and is looking for a job; however, his primary skills are of a laborer and a street broker for new homes.,OBJECTIVE:  ,Upon observation, the patient is ambulating with a significant antalgic gait pattern.  However, he is not using any assistive device.  The knee brace was corrected and the patient and his wife demonstrated understanding and knowledge of how to place the knee brace on correctly.,ACTIVE RANGE OF MOTION: , Active range of motion of the left knee is 0 to 105 degrees with pain during range of motion.  Right knee active range of motion is 0 to 126 degrees.,STRENGTH:  ,Strength is 3/5 for left knee, 4+/5 for right knee.  The patient denies any pain upon light and deep palpation at the knee joints.  There is no evidence of temperature change, increased swelling or any discoloration at the left knee joint.  The patient does not appear to have instability at this time with formal tests at the left knee joint.,SPECIAL TESTS:  ,The patient performed a six-minute walk test.  He was able to complete 600 feet; however, had to stop this test at approximately five minutes, secondary to significant increase in pain.,ASSESSMENT:,  The patient would benefit from skilled physical therapy intervention in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to perform functional activities and work tasks.,5.  Decreased ambulation tolerance.,SHORT-TERM GOALS TO BE COMPLETED IN THREE WEEKS:,1.  Patient will demonstrate independence with the home exercise program.,2.  Patient will report maximum pain of 2/10 on a Pain Analog Scale within a 24-hour period.,3.  The patient will demonstrate left knee active range of motion, 0 to 120 degrees, without significant increase in pain during motion.,4.  The patient will demonstrate 4/5 strength for the left knee.,5.  The patient will complete 800 feet in a six-minute walk test without significant increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN SIX WEEKS:,1.  The patient will demonstrate bilateral knee active range of motion, 0 to 130 degrees.,2.  The patient will demonstrate 5/5 lower extremity strength bilaterally without significant increase in pain.,3.  Patient will complete 1000 feet in a six-minute walk test without increase in pain and tolerate full completion of the six minutes.,4.  The patient will improve confidence with ability to perform work activity, when the situation improves and resolves.,PROGNOSIS:  ,Prognosis is good for above-stated goals, with compliance to a home exercise program and treatment.,SESSION PLAN: , The patient to be seen two to three times a week for six weeks for the following:,1.  Therapeutic exercise with home exercise program.",9-41985
+10,28,01/01/2061,Orthopedic,"REASON FOR CONSULTATION: , Left hip fracture.,HISTORY OF PRESENT ILLNESS: , The patient is a pleasant 53-year-old female with a known history of sciatica, apparently presented to the emergency room due to severe pain in the left lower extremity and unable to bear weight.  History was obtained from the patient.  As per the history, she reported that she has been having back pain with left leg pain since past 4 weeks.  She has been using a walker for ambulation due to disabling pain in her left thigh and lower back.  She was seen by her primary care physician and was scheduled to go for MRI yesterday.  However, she was walking and her right foot got caught on some type of rug leading to place excessive weight on her left lower extremity to prevent her fall.  Since then, she was unable to ambulate.  The patient called paramedics and was brought to the emergency room.  She denied any history of fall.  She reported that she stepped the wrong way causing the pain to become worse.  She is complaining of severe pain in her lower extremity and back pain.  Denies any tingling or numbness.  Denies any neurological symptoms.  Denies any bowel or bladder incontinence.,X-rays were obtained which were remarkable for left hip fracture.  Orthopedic consultation was called for further evaluation and management.  On further interview with the patient, it is noted that she has a history of malignant melanoma, which was diagnosed approximately 4 to 5 years ago.  She underwent surgery at that time and subsequently, she was noted to have a spread to the lymphatic system and lymph nodes for which she underwent surgery in 3/2008.,PAST MEDICAL HISTORY: , Sciatica and melanoma.,PAST SURGICAL HISTORY:  ,As discussed above, surgery for melanoma and hysterectomy.,ALLERGIES: , NONE.,SOCIAL HISTORY: , Denies any tobacco or alcohol use.  She is divorced with 2 children.  She lives with her son.,PHYSICAL EXAMINATION:,GENERAL:  The patient is well developed, well nourished in mild distress secondary to left lower extremity and back pain.,MUSCULOSKELETAL:  Examination of the left lower extremity, there is presence of apparent shortening and external rotation deformity.  Tenderness to palpation is present.  Leg rolling is positive for severe pain in the left proximal hip.  Further examination of the spine is incomplete secondary to severe leg pain.  She is unable to perform a straight leg raising.  EHL/EDL 5/5.  2+ pulses are present distally.  Calf is soft and nontender.  Homans sign is negative.  Sensation to light touch is intact.,IMAGING:,  AP view of the hip is reviewed.  Only 1 limited view is obtained.  This is a poor quality x-ray with a lot of soft tissue shadow.  This x-ray is significant for basicervical-type femoral neck fracture.  Lesser trochanter is intact.  This is a high intertrochanteric fracture/basicervical.  There is presence of lytic lesion around the femoral neck, which is not well delineated on this particular x-ray.  We need to order repeat x-rays including AP pelvis, femur, and knee.,LABS:,  Have been reviewed.,ASSESSMENT: , The patient is a 53-year-old female with probable pathological fracture of the left proximal femur.,DISCUSSION AND PLAN: , Nature and course of the diagnosis has been discussed with the patient.  Based on her presentation without any history of obvious fall or trauma and past history of malignant melanoma, this appears to be a pathological fracture of the left proximal hip.  At the present time, I would recommend obtaining a bone scan and repeat x-rays, which will include AP pelvis, femur, hip including knee.  She denies any pain elsewhere.  She does have a past history of back pain and sciatica, but at the present time, this appears to be a metastatic bone lesion with pathological fracture.  I have discussed the case with Dr. X and recommended oncology consultation.,With the above fracture and presentation, she needs a left hip hemiarthroplasty versus calcar hemiarthroplasty, cemented type.  Indication, risk, and benefits of left hip hemiarthroplasty has been discussed with the patient, which includes, but not limited to bleeding, infection, nerve injury, blood vessel injury, dislocation early and late, persistent pain, leg length discrepancy, myositis ossificans, intraoperative fracture, prosthetic fracture, need for conversion to total hip replacement surgery, revision surgery, DVT, pulmonary embolism, risk of anesthesia, need for blood transfusion, and cardiac arrest.  She understands above and is willing to undergo further procedure.  The goal and the functional outcome have been explained.  Further plan will be discussed with her once we obtain the bone scan and the radiographic studies.  We will also await for the oncology feedback and clearance.,Thank you very much for allowing me to participate in the care of this patient.  I will continue to follow up.",10-47745
+11,31,01/01/2077,Orthopedic,"EXAM:,MRI LEFT SHOULDER,CLINICAL:,This is a 69-year-old male with pain in the shoulder. Evaluate for rotator cuff tear.,FINDINGS:,Examination was performed on 9/1/05.,There is marked supraspinatus tendinosis and extensive tearing of the substance of the tendon and articular surface, extending into the myotendinous junction as well. There is still a small rim of tendon along the bursal surface, although there may be a small tear at the level of the rotator interval. There is no retracted tendon or muscular atrophy (series #6 images #6-17).,Normal infraspinatus tendon.,There is subscapularis tendinosis with fraying and partial tearing of the superior most fibers extending to the level of the rotator interval (series #9 images #8-13; series #3 images #8-14). There is no complete tear, gap or fiber retraction and there is no muscular atrophy.,There is tendinosis and superficial tearing of the long biceps tendon within the bicipital groove, and there is high grade (near complete) partial tearing of the intracapsular portion of the tendon. The biceps anchor is intact. There are degenerative changes in the greater tuberosity of the humerus but there is no fracture or subluxation.,There is degeneration of the superior labrum and there is a small nondisplaced tear in the posterior superior labrum at the one to two o’clock position (series #6 images #12-14; series #3 images #8-10; series #9 images #5-8). There is a small sublabral foramen at the eleven o’clock position (series #9 image #6). There is no osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is hypertrophic osteoarthropathy of the acromioclavicular joint with narrowing of the subacromial space and flattening of the superior surface of the supraspinatus musculotendinous junction, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion (series #8 images #3-12).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments. There is minimal fluid within the glenohumeral joint. There is no atrophy of the deltoid muscle.,IMPRESSION:,  There is extensive supraspinatus tendinosis and partial tearing as described. There is no retracted tendon or muscular atrophy, but there may be a small tear along the anterior edge of the tendon at the level of the rotator interval, and this associated partial tearing of the superior most fibers of the subscapularis tendon.  There is also a high-grade partial tear of the long biceps tendon as it courses under the transverse humeral ligament. There is no evidence of a complete tear or retracted tendon. Small nondisplaced posterior superior labral tear. Outlet narrowing from the acromioclavicular joint, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion.",11-38125
+12,33,01/01/2040,Orthopedic,"EXAM:,MRI RIGHT SHOULDER,CLINICAL:, A 32-year-old male with shoulder pain.,FINDINGS:,This is a second opinion interpretation of the examination performed on 02/16/06.,Normal supraspinatus tendon without surface fraying, gap or fiber retraction and there is no muscular atrophy.,Normal infraspinatus and subscapularis tendons.,Normal long biceps tendon within the bicipital groove. There is no subluxation of the tendon under the transverse humeral ligament and the intracapsular portion of the tendon is normal.,Normal humeral head without fracture or subluxation.,There is myxoid degeneration within the superior labrum (oblique coronal images #47-48), but there is no discrete tear. The remaining portions of the labrum are normal without osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is a persistent os acromiale, and there is minimal reactive marrow edema on both sides of the synchondrosis, suggesting that there may be instability (axial images #3 and 4). There is no diastasis of the acromioclavicular joint itself. There is mild narrowing of the subacromial space secondary to the os acromiale, in the appropriate clinical setting, this may be acting as an impinging lesion (sagittal images #56-59).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments.,There are no effusions or masses.,IMPRESSION:,Changes in the superior labrum compatible with degeneration without a discrete surfacing tear.,There is a persistent os acromiale, and there is reactive marrow edema on both sides of the synchondrosis suggesting instability. There is also mild narrowing of the subacromial space secondary to the os acromiale. This may be acting as an impinging lesion in the appropriate clinical setting.,There is no evidence of a rotator cuff tear.",12-44140
+13,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",13-20820
+14,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",14-48956
+15,37,01/01/2065,Orthopedic,"HISTORY OF PRESENT ILLNESS: , The patient is a 57-year-old female being seen today for evaluation of pain and symptoms related to a recurrent bunion deformity in bilateral feet, right greater than left.  The patient states she is having increasing symptoms of pain and discomfort associated with recurrence of bunion deformity on the right foot and pain localized to the second toe and MTP joint of the right foot as well.  The patient had prior surgery performed approximately 13 years ago.  She states that since the time of the original surgery the deformity has slowly recurred, and she has noticed progressive deformity in the lesser toes at the second and third toes of the left foot and involving the second toe of the right foot.  The patient is employed on her feet as a hospital employee and states that she does wear a functional orthotic which does provide some relief of forefoot pain although not complete.,PAST MEDICAL HISTORY, FAMILY HISTORY, SOCIAL HISTORY & REVIEW OF SYSTEMS:,  See Patient History sheet, which was reviewed with the patient and is signed in the chart.  Past medical history on the patient, past surgical history, current medications, drug-related allergies and social history have all been updated and reviewed, and enclosed in the chart.,PHYSICAL EXAMINATION: , Physical exam reveals a pleasant, 57-year-old female who is 5 feet 4 inches and 150 pounds.  She has palpable pulses.  Neurologic sensation is intact.  Examination of the extremities shows the patient as having well-healed surgical sites from her arthroplasty, second digits bilaterally and prior bunionectomy.  There is a recurrence of bunion deformity noted on both great toes although the patient notes to have reasonably good range of movement.  She has particular pain in the second MTP joint of the right foot and demonstrates a mild claw-toe deformity of the second and third toes to the left foot, and to a lesser degree the second toe to the right.  Gait analysis:  The patient stands and walks with a rather severe pes planus and has generalized hypermobility noted in the feet.,X-RAY INTERPRETATION:,  X-rays taken today; three views to the right foot shows presence of internal K-wire and wire from prior bunionectomy.  Biomechanical analysis shows 15 degree intermetatarsal angle and approximately 45 degree hallux abducto valgus angle.  No evidence of arthrosis in the joint is noted.  Significant shift to the fibular sesamoid is present.,ASSESSMENT:,1.  Recurrent bunion deformity, right forefoot.,2.  Pes planovalgus deformity, bilateral feet.,PLAN/TREATMENT:,1.  Today, we did review remaining treatment options with the patient including the feasibility of conservative versus surgical treatment.  The patient would require an open wedge osteotomy to reduce the intermetatarsal angle with the lateral release and a decompression osteotomy  at the second metatarsal.  Anticipated length of healing was noted for the patient as were potential risks and complications.  The patient ultimately would probably require surgery on her left foot at a later date as well.,2.  The patient will explore her ability to get out of work for the above-mentioned period of time and will be in touch with regards regarding scheduling at a later date.,3.  All questions were answered.",15-62315
+16,42,01/01/2077,Orthopedic,"EXAM:,MRI LEFT SHOULDER,CLINICAL:,This is a 69-year-old male with pain in the shoulder. Evaluate for rotator cuff tear.,FINDINGS:,Examination was performed on 9/1/05.,There is marked supraspinatus tendinosis and extensive tearing of the substance of the tendon and articular surface, extending into the myotendinous junction as well. There is still a small rim of tendon along the bursal surface, although there may be a small tear at the level of the rotator interval. There is no retracted tendon or muscular atrophy (series #6 images #6-17).,Normal infraspinatus tendon.,There is subscapularis tendinosis with fraying and partial tearing of the superior most fibers extending to the level of the rotator interval (series #9 images #8-13; series #3 images #8-14). There is no complete tear, gap or fiber retraction and there is no muscular atrophy.,There is tendinosis and superficial tearing of the long biceps tendon within the bicipital groove, and there is high grade (near complete) partial tearing of the intracapsular portion of the tendon. The biceps anchor is intact. There are degenerative changes in the greater tuberosity of the humerus but there is no fracture or subluxation.,There is degeneration of the superior labrum and there is a small nondisplaced tear in the posterior superior labrum at the one to two o’clock position (series #6 images #12-14; series #3 images #8-10; series #9 images #5-8). There is a small sublabral foramen at the eleven o’clock position (series #9 image #6). There is no osseous Bankart lesion.,Normal superior, middle and inferior glenohumeral ligaments.,There is hypertrophic osteoarthropathy of the acromioclavicular joint with narrowing of the subacromial space and flattening of the superior surface of the supraspinatus musculotendinous junction, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion (series #8 images #3-12).,Normal coracoacromial, coracohumeral and coracoclavicular ligaments. There is minimal fluid within the glenohumeral joint. There is no atrophy of the deltoid muscle.,IMPRESSION:,  There is extensive supraspinatus tendinosis and partial tearing as described. There is no retracted tendon or muscular atrophy, but there may be a small tear along the anterior edge of the tendon at the level of the rotator interval, and this associated partial tearing of the superior most fibers of the subscapularis tendon.  There is also a high-grade partial tear of the long biceps tendon as it courses under the transverse humeral ligament. There is no evidence of a complete tear or retracted tendon. Small nondisplaced posterior superior labral tear. Outlet narrowing from the acromioclavicular joint, which in the appropriate clinical setting is an MRI manifestation of an impinging lesion.",16-36537
+17,60,01/01/2039,Orthopedic,"DIAGNOSIS: , Ankle sprain, left ankle.,HISTORY: , The patient is a 31-year-old female who was referred to Physical Therapy secondary to a fall on 10/03/08.  The patient states that she tripped over her dog toy and fell with her left foot inverted.  The patient states that she received a series of x-rays and MRIs that were unremarkable.  After approximately 1 month, the patient continued to have significant debilitating pain in her left ankle.  She then received a walking boot and has been in the boot for the past month.,PAST MEDICAL HISTORY: , Significant for hypertension, asthma, and cervical cancer.  The cervical cancer was diagnosed as 15 years old.  The patient states that her cancer is ""dormant."",MEDICATIONS:,1.  Hydrochlorothiazide.,2.  Lisinopril.,3.  Percocet.,The patient states that the Percocet helps to take the edge of her pain, but does not completely eliminate it.,SUBJECTIVE: , The patient rates the pain at 2/10 on the pain analog scale.  The patient states that with elevation and rest, her pain subsides.,FUNCTIONAL ACTIVITIES/HOBBIES: , Currently limited including basic household chores and activities, this does increases her pain.  The patient states she also recently joined Weight Watchers and was involved in a walking routine and is currently unable to participate in this activity.,WORK STATUS: , The patient is currently on medical leave as a paraprofessional.  The patient states that she works as a teacher's aide in the school system and is required to complete extensive walking and standing activities.  The patient states that she is primarily on her feet while at work and rarely has a sitting break for extensive period of time.  The patient's goal is to be able to stand and walk without pain.,SOCIAL HISTORY:  ,The patient lives in a private home with children and her father.  The patient states that she does have stairs to negotiate without the use of a railing.  She states that she is able to manage the stairs, however, is very slow with her movement.  The patient smokes 1-1/2 packs of cigarettes a day and does not have a history of regular exercise routine.,OBJECTIVE: , Upon observation, the patient is a very obese female who is ambulating with significant antalgic gait pattern and altered normal gait due to the pain as well as the walking boot.  Upon inspection of the left ankle, it appears to have swelling, unsure if this swelling is secondary to injury or water retention as the patient states she has significant water retention.  When compared to right ankle edema, it is approximately equal.  There is no evidence of discoloration or temperature.  The patient states that she had no bruising at the time of injury.,Active range of motion of left ankle is as follows:  Dorsiflexion is 6 degrees past neutral and plantar flexion is 54 degrees, eversion 20 degrees, and inversion is 30 degrees.  Left ankle dorsiflexion lacks 10 degrees from neutral and plantar flexion is 36 degrees, this motion is very painful.  The patient was tearful during this activity.  Eversion is 3 degrees and inversion is 25 degrees.  The patient states this movement was difficult, but not painful.  Strength testing of the right lower extremity is grossly 4+-5/5 and left ankle is 2/5 as the patient is unable to obtain full range of motion.,PALPATION: , The patient is very tender to palpation primarily along the lateral malleolus of the left ankle.,JOINT PLAY: , Unable to be assessed secondary to the patient's extreme tenderness and guarding of the ankle joint.,SPECIAL TESTS:,  A 6-minute walk test.  The patient was able to ambulate approximately 600 feet while wearing her walking boot prior to her pain significantly increasing in the ankle and requiring the test to be stopped.,ASSESSMENT:  ,The patient would benefit from skilled physical therapy intervention as a trial of treatment in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to complete work task and functional activities in the home.,5.  Decreased gait pattern.,SHORT-TERM GOALS TO BE COMPLETED IN 3 WEEKS:,1.  The patient will demonstrate independence with home exercise program.,2.  The patient will ambulate without her boot for 48 hours in order to decrease reliance upon the boot for ankle stabilization.,3.  The patient will achieve left ankle dorsiflexion to neutral and plantar flexion to 45 degrees without significant increase in pain.,4.  The patient will demonstrate 3/5 strength of the left ankle.,5.  The patient will tolerate the completion of the 6-minute walk test without the use of a boot with minimal increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN 6 WEEKS:,1.  The patient will report 0/10 pain in the 48-hour period without the use of medication and without wearing her boot.,2.  The patient will return to go through the work without the use of the walking boot with report of minimal increase in pain and discomfort.,PROGNOSIS:,  Fair for above-stated goals with full compliance to home exercise program and therapy treatment as well as the patient motivation.,PLAN: , The patient to be seen three times a week for 6 weeks for the following:",17-53528
+18,60,01/01/2039,Orthopedic,"DIAGNOSIS: , Ankle sprain, left ankle.,HISTORY: , The patient is a 31-year-old female who was referred to Physical Therapy secondary to a fall on 10/03/08.  The patient states that she tripped over her dog toy and fell with her left foot inverted.  The patient states that she received a series of x-rays and MRIs that were unremarkable.  After approximately 1 month, the patient continued to have significant debilitating pain in her left ankle.  She then received a walking boot and has been in the boot for the past month.,PAST MEDICAL HISTORY: , Significant for hypertension, asthma, and cervical cancer.  The cervical cancer was diagnosed as 15 years old.  The patient states that her cancer is ""dormant."",MEDICATIONS:,1.  Hydrochlorothiazide.,2.  Lisinopril.,3.  Percocet.,The patient states that the Percocet helps to take the edge of her pain, but does not completely eliminate it.,SUBJECTIVE: , The patient rates the pain at 2/10 on the pain analog scale.  The patient states that with elevation and rest, her pain subsides.,FUNCTIONAL ACTIVITIES/HOBBIES: , Currently limited including basic household chores and activities, this does increases her pain.  The patient states she also recently joined Weight Watchers and was involved in a walking routine and is currently unable to participate in this activity.,WORK STATUS: , The patient is currently on medical leave as a paraprofessional.  The patient states that she works as a teacher's aide in the school system and is required to complete extensive walking and standing activities.  The patient states that she is primarily on her feet while at work and rarely has a sitting break for extensive period of time.  The patient's goal is to be able to stand and walk without pain.,SOCIAL HISTORY:  ,The patient lives in a private home with children and her father.  The patient states that she does have stairs to negotiate without the use of a railing.  She states that she is able to manage the stairs, however, is very slow with her movement.  The patient smokes 1-1/2 packs of cigarettes a day and does not have a history of regular exercise routine.,OBJECTIVE: , Upon observation, the patient is a very obese female who is ambulating with significant antalgic gait pattern and altered normal gait due to the pain as well as the walking boot.  Upon inspection of the left ankle, it appears to have swelling, unsure if this swelling is secondary to injury or water retention as the patient states she has significant water retention.  When compared to right ankle edema, it is approximately equal.  There is no evidence of discoloration or temperature.  The patient states that she had no bruising at the time of injury.,Active range of motion of left ankle is as follows:  Dorsiflexion is 6 degrees past neutral and plantar flexion is 54 degrees, eversion 20 degrees, and inversion is 30 degrees.  Left ankle dorsiflexion lacks 10 degrees from neutral and plantar flexion is 36 degrees, this motion is very painful.  The patient was tearful during this activity.  Eversion is 3 degrees and inversion is 25 degrees.  The patient states this movement was difficult, but not painful.  Strength testing of the right lower extremity is grossly 4+-5/5 and left ankle is 2/5 as the patient is unable to obtain full range of motion.,PALPATION: , The patient is very tender to palpation primarily along the lateral malleolus of the left ankle.,JOINT PLAY: , Unable to be assessed secondary to the patient's extreme tenderness and guarding of the ankle joint.,SPECIAL TESTS:,  A 6-minute walk test.  The patient was able to ambulate approximately 600 feet while wearing her walking boot prior to her pain significantly increasing in the ankle and requiring the test to be stopped.,ASSESSMENT:  ,The patient would benefit from skilled physical therapy intervention as a trial of treatment in order to address the following problem list:,1.  Increased pain.,2.  Decreased range of motion.,3.  Decreased strength.,4.  Decreased ability to complete work task and functional activities in the home.,5.  Decreased gait pattern.,SHORT-TERM GOALS TO BE COMPLETED IN 3 WEEKS:,1.  The patient will demonstrate independence with home exercise program.,2.  The patient will ambulate without her boot for 48 hours in order to decrease reliance upon the boot for ankle stabilization.,3.  The patient will achieve left ankle dorsiflexion to neutral and plantar flexion to 45 degrees without significant increase in pain.,4.  The patient will demonstrate 3/5 strength of the left ankle.,5.  The patient will tolerate the completion of the 6-minute walk test without the use of a boot with minimal increase in pain.,LONG-TERM GOALS TO BE COMPLETED IN 6 WEEKS:,1.  The patient will report 0/10 pain in the 48-hour period without the use of medication and without wearing her boot.,2.  The patient will return to go through the work without the use of the walking boot with report of minimal increase in pain and discomfort.,PROGNOSIS:,  Fair for above-stated goals with full compliance to home exercise program and therapy treatment as well as the patient motivation.,PLAN: , The patient to be seen three times a week for 6 weeks for the following:",18-62383
+19,63,01/01/2026,Orthopedic,"CHIEF COMPLAINT:  ,This 18 year old male presents today with shoulder pain right.  Location:  He indicates the problem location is the right shoulder diffusely.  Quality:  Quality of the pain is described by the patient as aching, throbbing and tolerable.  Patient relates pain on a scale from 0 to 10 as 5/10.  Severity:  The severity has worsened over the past 3 months.  Timing (onset/frequency):  Onset was gradual and after pitching a baseball game.  Modifying Factors:  Patient's condition is aggravated by throwing.  He participates with difficulty in basketball.  Past conservative treatments include NSAID and muscle relaxant medications.,ALLERGIES: , No known medical allergies.,MEDICATION HISTORY:,  None.,PAST MEDICAL HISTORY:  ,Childhood Illnesses: (+) strep throat (+) mumps (+) chickenpox,PAST SURGICAL HISTORY:,  No previous surgeries.,FAMILY HISTORY:,  Patient admits a family history of arthritis associated with mother.,SOCIAL HISTORY: , Patient denies smoking, alcohol abuse, illicit drug use and STDs.,REVIEW OF SYSTEMS:,Musculoskeletal: (+) joint or musculoskeletal symptoms (+) stiffness in AM.,Psychiatric: (-) psychiatric or emotional difficulties.,Eyes: (-) visual disturbance or change.,Neurological: (-) neurological symptoms or problems Endocrine: (-) endocrine-related symptoms.,Allergic / Immunologic: (-) allergic or immunologic symptoms.,Ears, Nose, Mouth, Throat: (-) symptoms involving ear, nose, mouth, or throat.,Gastrointestinal: (-) GI symptoms.,Genitourinary: (-) GU symptoms.,Constitutional Symptoms: (-) constitutional symptoms such as fever, headache, nausea, dizziness.,Cardiovascular: (-) cardiovascular problems or chest symptoms.,Respiratory: (-)breathing difficulties, respiratory symptoms.,Physical Exam:  BP Standing:  116/68 Resp:  16 HR:  68 Temp:  98.1 Height:  5 ft.  11 in.  Weight:  165 lbs.  Patient is a 18 year old male who appears pleasant, in no apparent distress, his given age, well developed, well nourished and with good attention to hygiene and body habitus.  Oriented to person, place and time.  Right shoulder shows evidence of swelling and tenderness.  Radial pulses are 2 /4, bilateral.  Brachial pulses are 2 /4, bilateral.,Appearance:  Normal.,Tenderness:  Anterior - moderate, Biceps - none, Posterior - moderate and Subacromial - moderate right.,Range of Motion:  Right shoulder ROM shows decreased flexion, decreased extension, decreased adduction, decreased abduction, decreased internal rotation, decreased external rotation.  L shoulder normal.,Strength:  External rotation - fair.  Internal rotation - poor right.,AC Joint:  Pain with ABD and cross-chest - mild right.,Rotator Cuff:  Impingement - moderate.  Painful arc - moderate right.,Instability:  None.,TEST & X-RAY RESULTS:,  X-rays of the shoulder were performed.  X-ray of right shoulder reveals cuff arthropathy present.,IMPRESSION: , Rotator cuff syndrome, right.,PLAN: , Diagnosis of a rotator cuff tendinitis and shoulder impingement were discussed.  I noted that this is a very common condition resulting in significant difficulties with use of the arm.  Several treatment options and their potential benefits were described.  Nonsteroidal anti-inflammatories can be helpful but typically are slow acting.  Cortisone shots can be very effective and are quite safe.  Often more than one injection may be required.  Physical therapy can also be helpful, particularly if there is any loss of shoulder mobility or strength.  If these treatments fail to resolve symptoms, an MRI or shoulder arthrogram may be required to rule out a rotator cuff tear.  Injected shoulder joint and with Celestone Soluspan 1.0 cc .  Ordered x-rays of shoulder right.,PRESCRIPTIONS:,  Vioxx Dosage:  25 mg tablet Sig:  TID Dispense:  60 Refills:  0 Allow Generic:  Yes,PATIENT INSTRUCTIONS:,  Patient was instructed to restrict activity.  Patient was given instructions on RICE therapy.",19-50597
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+,name,text
+0,0-27173,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Clinic due to concerns regarding behavioral acting out as well as encopresis. This is a 90-minute initial intake completed on 10/03/2007. I met with the patient's mother individually for the entire session. I reviewed with her the treatment, consent form, as well as the boundaries of confidentiality, and she stated that she understood these concepts.
+
+PRESENTING PROBLEMS: Mother reported that her primary concern in regard to the patient had to do with his oppositionality. She was more ambivalent regarding addressing the encopresis. In regards to his oppositionality, she reported that the onset of his oppositionality was approximately at 4 years of age, that before that he had been a very compliant and happy child, and that he has slowly worsened over time. She noted that the oppositionality occurred approximately after his brother, who has multiple medical problems, was born. At that time, mother had spent 2 months back East with the brother due to his feeding issues and will have to go again next year. She reported that in terms of the behaviors that he loses his temper frequently, he argues with her that he defies her authority that she has to ask him many times to do things, that she has to repeat instructions, that he ignores her, that he whines, and this is when he is told to do something that he does not want to do. She reported that he deliberately annoys other people, that he can be angry and resentful. She reported that he does not display these behaviors with the father nor does he display them at home, but they are specific to her. She reported that her response to him typically is that she repeats what she wants him to do many, many times, that eventually she gets upset. She yells at him, talks with him, and tries to make him go and do what she wants him to do. Mother also noted that she probably ignores some his misbehaviors. She stated that the father tends to be more firm and more direct with him, and that, the father sometimes thinks that the mother is too easy on him. In regards to symptoms of depression, she denied symptoms of depression, noting that he tends to only become unhappy when he has to do something that he does not want to do, such as go to school or follow through on a command. She denied any suicidal ideation. She denied all symptoms of anxiety. PTSD was denied. ADHD symptoms were denied, as were all other symptoms of psychopathology.
+
+In regards to the encopresis, she reported that he has always soiled, he does so 2 to 3 times a day. She reported that he is concerned about this issue. He currently wears underwear and had a pull-up. She reported that he was seen at the Gastroenterology Department here several years ago, and has more recently been seen at the Diseases Center, seen by Dr. Y, reported that the last visit was several months ago, that he is on MiraLax. He does sit on the toilet may be 2 times a day, although that is not consistent. Mother believes that he is probably constipated or impacted again. He refuses to eat any fiber. In regards to what happens when he soils, mother basically takes full responsibility. She cleans and changes his underwear, thinks of things that she has tried, she mostly gets frustrated, makes negative comments, even though she knows that he really cannot help it. She has never provided him with any sort of rewards, because she feels that this is something he just needs to learn to do. In regards to other issues, she noted that he becomes frustrated quite easily, especially around homework, that when mother has to correct him, or when he has had difficulty doing something that he becomes upset, that he will cry, and he will get angry. Mother's response to him is that either she gets agitated and raises her voice, tells him to stop etc. Mother reported it is not only with homework, but also with other tasks, such as if he is trying to build with his LEGOs and things do not go well.
+
+DEVELOPMENTAL BACKGROUND: The patient was reported to be the 8 pound 12 ounce product of a planned and noncomplicated pregnancy and emergency cesarean delivery. The patient presented in a breech position. Mother denied the use of drugs, alcohol, or tobacco during the pregnancy. No sleeping or eating issues were present in the perinatal period. Temperament was described as easy. He was described as a cuddly baby. No concerns expressed regarding his developmental milestones. No serious injuries reported. No hospitalizations or surgeries. No allergies. The patient has been encopretic for all of his life. He currently is taking MiraLax.
+
+FAMILY BACKGROUND: The patient lives with his mother who is age 37, and is primarily a homemaker, but does work approximately 48 hours a month as a beautician; with his father, age 35, who is a police officer; and also, with his younger brother who is age 3, and has significant medical problems as will be noted in a moment. Mother and father have been together since 1997, married in 1999. The maternal grandmother and grandfather are living and are together, and live in the Central California Coast Area. There is one maternal aunt, age 33, and then, two adopted maternal aunt and uncle, age 18 and age 13. In regards to the father's side of the family, the paternal grandparents are divorced. Grandfather was in Arkansas, grandmother lives in Dos Palos. The patient does not see his grandfather. Mother stated that her relationship with her child was as described, that he very much stresses her out, that she wishes that he was not so defiant, that she finds him to be a very stressful child to deal with. In regards to the relationship with the father, it was reported that the father tends to leave most of the parenting over to the mother, unless she specifically asks him to do something, and then, he will follow through and do it. He will step in and back mother up in terms of parenting, tell the child not to speak to his mother that way etc. Mother reported that he does spend some time with the children, but not as much as mother would like him to, but occasionally, he will go outside and do things with them. The mother reported that sometimes she has a problem in interfering with his parenting, that she steps in and defends The patient. It was reported that mother stated that she tries the parenting technique, primarily of yelling and tried time-out, although her description suggests that she is not doing time-out correctly, as he simply gets up from his time-out, and she does not follow through. Mother reported that she and the patient are very much alike in temperament, and this has made things more difficult. Mother tends to be stubborn and gets angry easily also. Mother reported becoming fatigued in her parenting, that she lets him get away with things sometimes because she does not want to punish him all day long, sometimes ignores problems that she probably should not ignore. There was reported to be jealousy between The patient and his brother, B. B evidently has some heart problems and feeding issues, and because of that, tends to get more attention in terms of his medical needs, and that the patient is very jealous of that attention and feels that B is favored and that he get things that The patient does not get, and that there is some tension between the brothers. They do play well together; however, The patient does tend to be somewhat intrusive, gets in his space, and then, B will hit him. Mother reported that she graduated from high school, went to Community College, and was an average student. No learning problems. Mother has a history of depression. She has currently been taking 100 mg of Zoloft administered by her primary medical doctor. She is not receiving counseling. She has been on the medications for the last 5 years. Her dosage has not been changed in a year. She feels that she is getting more irritable and more angry. I encouraged her to see a primary medical doctor. Mother has no drug or alcohol history. Father graduated from high school, went to the Police Academy, average student. No learning problems, no psychological problems, no drug or alcohol problems are reported. In terms of extended family, maternal grandmother as well as maternal great grandfather have a history of depression. Other psychiatric symptoms were denied in the family.
+
+Mother reported that the marriage is generally okay, that there is some arguing. She reported that it was in the normal range.
+
+ACADEMIC BACKGROUND: The patient attends the Roosevelt Elementary School, where he is in a regular first grade classroom with Mrs. The patient. This is in the Kingsburg Unified School District. No behavior problems, academic problems were reported. He does not receive special education services.
+
+SOCIAL HISTORY: The patient was described as being able to make and keep friends, but at this point in time, there has been no teasing regarding smell from the encopresis. He does have kids over to play at the house.
+
+PREVIOUS COUNSELING: Denied.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: My impression is that the patient has a long history of constipation and impaction, which has been treated medically, but it would appear that the mother has not followed through consistently with the behavioral component of toilet sitting, increased fiber, regular medication, so that the problem has likely continued. She also has not used any sort of rewards as a way to encourage him, in the encopresis. The patient clearly qualifies for a diagnosis of disruptive behavior disorder, not otherwise specified, and possibly oppositional defiant disorder. It would appear that mother needs help in her parenting, and that she tends to mostly use yelling and anger as a way, and tends to repeat herself a lot, and does not have a strategy for how to follow through and to deal with defiant behavior. Also, mother and father, may not be on the same page in terms of parenting.
+
+PLAN: In terms of my plan, I will meet with the child in the next couple of weeks. I also asked the mother to bring the father in, so he could be involved in the treatment also, and I gave the mother a behavioral checklist to be completed by herself and the father as well as the teacher.
+
+DSM IV DIAGNOSES:
+AXIS I: Adjustment disorder with disturbance of conduct (309.3). Encopresis, without constipation, overflow incontinence (307.7)
+AXIS II: No diagnoses (V71.09).
+AXIS III: No diagnoses.
+AXIS IV: Problems with primary support group.
+AXIS V: Global assessment of functioning equals 65."
+1,1-98869,"
+The patient was interviewed and examined on May 23, 2003, for the purpose of providing an independent medical evaluation. A physician/patient relationship was not established, there was no limit to confidentiality, nor was treatment rendered or advised. This was explained to the patient, he appeared to understand, and agreed to continue.
+
+IDENTIFYING DATA: Mr. T is a 45-year-old white male.
+
+CHIEF COMPLAINT: Mr. T presented with significant muscle tremor, constant headaches, excessive nervousness, poor concentration, and poor ability to focus. His confidence and self-esteem are significantly low. He stated he has excessive somnolence, his energy level is extremely low, motivation is low, and he has a lack for personal interests. He has had suicidal ideation, but this is currently in remission. Furthermore, he continues to have hopeless thoughts and crying spells. Mr. T stated these symptoms appeared approximately two months ago.
+
+HISTORY OF PRESENT ILLNESS: On March 25, 2003, Mr. T was fired from his job secondary, to an event at which he stated he was first being harassed by another employee."" This other, employee had confronted Mr. T with a very aggressive, verbal style, where this employee had placed his face directly in front of Mr. T was spitting on him, and called him ""bitch."" Mr. T then retaliated, and went to hit the other employee. Due to this event, Mr. T was fired. It should be noted that Mr. T stated he had been harassed by this individual for over a year and had reported the harassment to his boss and was told to ""deal with it.""
+
+There are no other apparent stressors in Mr. T's life at this time or in recent months. Mr. T stated that work was his entire life and he based his entire identity on his work ethic. It should be noted that Mr. T was a process engineer for Plum Industries for the past 14 years.
+
+PAST PSYCHIATRIC HISTORY: There is no evidence of any psychiatric hospitalizations or psychiatric interventions other than a recent visit to Mr. T's family physician, Dr. B at which point Mr. T was placed on Lexapro with an unknown dose at this time. Mr. T is currently seeing Dr. J for psychotherapy where he has been in treatment since April, 2003.
+
+PAST PSYCHIATRIC REVIEW OF SYSTEMS: Mr. T denied any history throughout his childhood, adolescence, and early adulthood for depressive, anxiety, or psychotic disorders. He denied any suicide attempts, or profound suicidal or homicidal ideation. Mr. T furthermore stated that his family psychiatric history is unremarkable.
+
+SUBSTANCE ABUSE HISTORY: Mr. T stated he used alcohol following his divorce in 1993, but has not used it for the last two years. No other substance abuse was noted.
+
+LEGAL HISTORY: Currently, charges are pending over the above described incident.
+
+MEDICAL HISTORY: Mr. T denied any hospitalizations, surgeries, or current medications use for any heart disease, lung disease, liver disease, kidney disease, gastrointestinal disease, neurological disease, closed head injury, endocrine disease, infectious, blood or muscles disease other than stating he has a hiatal hernia and hypercholesterolemia.
+
+PERSONAL AND SOCIAL HISTORY: Mr. T was born in Dwyne, Missouri, with no complications associated with his birth. Originally, he was raised by both parents, but they separated at an early age. When he was about seven years old, he was raised by his mother and stepfather. He did not sustain a relationship with his biological father from that time on. He stated his parents moved a lot, and because this many times he was picked on in his new environments, Mr. T stated he was, at times, a rebellious teenager, but he denied any significant inability to socialize, and denied any learning disabilities or the need for special education.
+
+Mr. T stated his stepfather was somewhat verbally abusive, and that he committed suicide when Mr. T was 18 years old. He graduated from high school and began work at Dana Corporation for two to three years, after which he worked as an energy, auditor for a gas company. He then became a homemaker while his wife worked for Chrysler for approximately two years. Mr. T was married for eleven years, and divorced in 1993. He has a son who is currently 20 years old. After being a home maker, Mr. T worked for his mother in a restaurant, and moved on from there to work for Borg-Warner corporation for one to two years before beginning at Plum Industries, where he worked for 14 years and worked his way up to lead engineer.
+
+Mental Status Exam: Mr. T presented with a hyper vigilant appearance, his eye contact was appropriate to the interview, and his motor behavior was tense. At times he showed some involuntary movements that would be more akin to a resting tremor. There was no psychomotor retardation, but there was some mild psychomotor excitement. His speech was clear, concise, but pressured. His attitude was overly negative and his mood was significant for moderate depression, anxiety, anhedonia and loneliness, and mild evidence of anger. There was no evidence of euphoria or diurnal mood variation. His affective expression was restricted range, but there was no evidence of lability. At times, his affective tone and facial expressions were inappropriate to the interview. There was no evidence of auditory, visual, olfactory, gustatory, tactile or visceral hallucinations. There was no evidence of illusions, depersonalizations, or derealizations. Mr. T presented with a sequential and goal directed stream of thought. There was no evidence of incoherence, irrelevance, evasiveness, circumstantiality, loose associations, or concrete thinking. There was no evidence of delusions; however, there was some ambivalence, guilt, and self-derogatory thoughts. There was evidence of concreteness for similarities and proverbs. His intelligence was average. His concentration was mildly impaired, and there was no evidence of distractibility. He was oriented to time, place, person and situation. There was no evidence of clouded consciousness or dissociation. His memory was intact for immediate, recent, and remote events.
+
+He presented with poor appetite, easily fatigued, and decreased libidinal drive, as well as excessive somnolence. There was a moderate preoccupation with his physical health pertaining to his headaches. His judgment was poor for finances, family relations, social relations, employment, and, at this time, he had no future plans. Mr. T's insight is somewhat moderate as he is aware of his contribution to the problem. His motivation for getting well is good as he accepts offered treatment, complies with recommended treatment, and seeks effective treatments. He has a well-developed empathy for others and capacity for affection.
+
+There was no evidence of entitlement, egocentricity, controllingness, intimidation, or manipulation. His credibility seemed good. There was no evidence for potential self-injury, suicide, or violence. The reliability and completeness of information was very good, and there were no barriers to communication. The information gathered was based on the patient's self-report and objective testing and observation. His attitude toward the examiner was neutral and his attitude toward the examination process was neutral. There was no evidence for indices of malingering as there was no marked discrepancy between claimed impairment and objective findings, and there was no lack of cooperation with the evaluation or poor compliance with treatment, and no evidence of antisocial personality disorder.
+
+IMPRESSIONS: Major Depressive Disorder, single episode
+
+RECOMMENDATIONS AND PLAN: I recommend Mr. T continue with psychopharmacologic care as well as psychotherapy. At this time, the excessive amount of psychiatric symptoms would impede Mr. T from seeking employment. Furthermore, it appears that the primary precipitating event had occurred on March 25, 2003, when Mr. T was fired from his job after being harassed for over a year. As Mr. T placed his entire identity and sense of survival on his work, this was a deafening blow to his psychological functioning. Furthermore, it only appears logical that this would precipitate a major depressive episode.
+"
+2,2-43989,"
+REASON FOR REFERRAL: The patient was referred to me by Dr. X of the Hospitalist Service at Children's Hospital due to a recent admission for pseudoseizures. This was a 90-minute initial intake completed on 10/19/2007 with the patient's mother. I have reviewed with her the boundaries of confidentiality and the treatment consent form, and she stated that she had understood these concepts.
+
+PRESENTING PROBLEM: It is reported that the patient was recently hospitalized and has been hospitalized in 2 occasions for pseudoseizure activity. These were confirmed by video EEG and consist of trembling, shaking, and things of that nature. She does have a history of focal seizures and perhaps simple seizures, which were diagnosed when she was 5 years old, but the seizure activity that was documented during the hospital stay is of a significant different quality. I had met with them in the hospital and introduced myself and gathered some basic background information, but this is a supplement to that information, which is contained within this chart. It was reported to me that she has been under considerable stress. First of all, it should be noted that the patient is developmentally delayed. Although she is 17 years old, she operates at about a fourth grade level. Mother reported that The patient becomes stressed because she thinks that everyone is against her, that she cannot do anything unless someone is there, that she needs a lot of direction, that she gets confused easily, that she thinks that people become angry at her, that she misinterprets what people are saying and thinks that they are upset. It is reported, the patient feels that her mother yells at her, and that is mad at her often. It was reported that in addition she recently has had change in her visitation with her father, that she within the last 6 months, has started seeing her father every other weekend after he had been discharged from prison. She reported that what is stress for her is that sometimes he does not always show up for visits or is late and that upsets her a lot and that she is upset when she has to leave him, also additional stressor is at school. She reports that she has no friends that she feels unwanted and picked on. She gets confused easily at school, worries about things, and believes that the teachers become angry with her. In regards to her mood, mother reported that she is usually happy, unless things do not go her way, and then, she becomes upset and says that nobody cares about her. She sits in the couch, she become angry, does not speak. Mother sends her to her room, and she calms down, takes a couple of deep breaths, and that passes. It is reported that the patient has ""always been this way"" and that is not a change in her behavior. Mother did think that she did seem a little more depressed, that she seems more lonely. Over the last few months, she has seemed a little bit more down because she does not have any friends and that she is bored. Mother reported that she frequently complains of being bored, but has always been this way. No sleep disturbance was noted. No changes in weight. No suicidal ideation. No deficits in energy were noted. Mother did report that she does tend to worry, but her worries tend to be because she gets confused, does not understand what she needs to do, and is quite rigid, but mother did not feel that the worry was actually affecting her functioning on a daily basis.
+
+DEVELOPMENTAL HISTORY: The patient was the 5 pound 12 ounce product of an unplanned pregnancy and normal spontaneous vaginal delivery. She was delivered at 36 weeks' gestation. Mother reported that she received prenatal care. Difficulties during the pregnancy were denied. The use of drugs, alcohol, tobacco during the pregnancy were denied. No eating or sleeping difficulties during the perinatal period were reported. Temperament was described as easy. The patient is described as a cuddly baby. In terms of serious injuries, they were denied. Serious illnesses: She has been diagnosed since age 5 with seizures. Mother was not able to tell me the exact kind of seizures, but it would appear from I could gather that they are focal seizures and possibly simple-to-complex partial seizures. The patient does not have a history of allergy or toileting problems. She is currently taking Trileptal 450 mg b.i.d., and she is currently taking Depakote, although she is going to be weaned off the Depakote by her neurologist. She is taking Prevacid and ibuprofen. The neurologist that she sees is Dr. Y here at Children's Hospital.
+
+FAMILY BACKGROUND: In terms of family background, the patient lives with her mother age 38 and her mother's partner, who is age 40, and with her 16-year-old sister who does not have any developmental delays. Mother had been married to the patient's father, but they were together as a couple beginning 1990, married in 1997, separated in 2002, and divorced in 2003; he lives in the ABC area and visits them every other Saturday, but there are no overnight visits. The paternal grandparents are both living here in California, but are separated. They are 3 paternal uncles and 2 paternal aunts. In terms of the maternal family, maternal grandmother and grandfather are deceased. Maternal grandfather deceased in 1991 due to cancer. Maternal grandmother deceased in 2001 due to cancer. There are 5 maternal aunts and 2 maternal uncles, all who live in California. She reported that the patient is particularly close to her maternal aunt, whose name is Carmen. Mother's partner had been married previously; he has 2 children from that relationship, a 23-year-old, and a 20-year-old female, who really are not part of the patient's daily life. In terms of other family background, it was reported that the mother's partner gets frustrated with The patient, does not completely understand the degree of her delay and how that may affect her ability to do things as well as her interpretation of things. The sister was described as having some resentment towards her older sister, that she feels like she was just to watch out for her, care for her, and that sister has always wanted to follow her around and do the things that she does. The biological father allegedly was in jail for a year due to drug possession. Mother reported that he had a problem with methamphetamine. In addition, she reported there is an accusation that he had molested their niece; however, she stated that there was a trial, and he was found to be not guilty of that. She stated there was no evidence that he had ever molested the patient or her sister. There had been quite a bit of chaos in the family when the mother and father were together. There was a lot of arguing. There were a lot of moves, there was domestic violence both from father to mother and mother to father consisting mostly of pushing and shoving by mother's report. The patient did observe this. After the separation, it was reported that there were continued difficulties that the father took the patient and her sister from school without mother's knowledge and had filed to get custody of them and actually ended up having custody of them for a month, and told the patient and her sister that the mother had abandoned them. Mother reported that they went to court, and there was a court order giving the mother custody back after the father went to jail. Mother stated that was approximately 5 years ago. In terms of current, mother reports that she currently works 2 jobs from 8 to 5 on Monday and Friday and from 6 to 10 on Monday, Wednesday's, and Friday's, but she does have the weekends off. The patient was reported also to have a job through her school on several weeknights.
+
+Mother reported that she graduated from high school, had a year of college. She was an average student, had learning difficulties in reading. No psychological or drug or alcohol history was reported by mother. In terms of the biological father, mother stated that he graduated from high school, had a couple of years of college, was a good student, no learning problems or psychological problems for him were reported. Mother reported that he had a history of methamphetamine use.
+
+Other psychiatric history in the family was denied.
+
+SOCIAL HISTORY: She reported that the patient feels like she does not have any friends, that she is lonely and bored, really does not do much for fun. Her fun consists primarily of doing crafts with mother, sewing, painting, drawing, beadwork, and things like that. It was reported that she really feels that she is bored and does not have much to do.
+
+ACADEMIC BACKGROUND: The patient is in the 11th grade at High School. She has 2 regular education classes, mother could not tell me what they were, but the rest of her classes are special education. Mother could not tell me what her IQ was, although she noticed she works at about a 4th or 5th grade level. Mother reported that the terminology most often used with the patient was developmental delay. Her counselor's name is Mr. XYZ, but she reported that overall she is a good student, but she does have sometimes some difficulties at school, becoming upset or angry regarding the little things that she does not seem to understand. It is reported that the patient feels that she has no friends at school that she is lonely, and that is she does not really care for school. She reported that the patient is involved in a work program through the school where she works at Pet Extreme on Mondays and Wednesdays from 3 to 8 p.m. where she stocks shelves. It is reported that she does not like to go to school because she feels like nobody likes her. She is not involved in any kind of clubs or groups at school. Mother reported that she is also not receiving CVRC services.
+
+PREVIOUS COUNSELING: Mother reported that she has been in counseling before, but mother could not give me any information about that, who did the counseling, or what it was about. She does receive evidently some peer counseling at school because she gets upset and needs help in calming down.
+
+DIAGNOSTIC SUMMARY AND IMPRESSION: It appears that the patient best qualifies for a diagnosis of conversion disorder, and information from Neurology suggests that the ""seizure episodes"" are not true seizures, but appear to be pseudoseizures. The patient is experiencing quite bit of stress with a lot of changes in her life, also difficulty in functioning likely due to her developmental delay makes it difficult for her to understand.
+
+PLAN: My plan is to meet with the patient in approximately 1 to 2 weeks to complete a clinical interview with her, and then to begin teaching coping skills as well as explore ways for reducing her stress.
+
+DSM IV DIAGNOSES:
+AXIS I: Conversion disorder (300.11).
+AXIS II: Diagnoses deferred.
+AXIS III: Seizure disorder.
+AXIS IV: Problems with primary support group, peer problems, and educational problems.
+AXIS V: Global assessment of functioning equals 60.
+"
diff --git a/v1/medcat-trainer/supervisord.conf b/v1/medcat-trainer/supervisord.conf
new file mode 100644
index 000000000..3cee5857b
--- /dev/null
+++ b/v1/medcat-trainer/supervisord.conf
@@ -0,0 +1,29 @@
+[supervisord]
+nodaemon=true
+user=root
+logfile=/var/log/supervisord.log
+pidfile=/var/run/supervisord.pid
+
+[program:medcattrainer]
+command=sh -c "exec /home/scripts/run.sh 2>&1 | sed 's/^/[medcattrainer] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
+
+[program:bg-process]
+command=sh -c "exec /home/scripts/run-bg-process.sh 2>&1 | sed 's/^/[bg-process] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
+
+[program:db-backup]
+command=sh -c "exec cron -f -l 2 2>&1 | sed 's/^/[db-backup] /'"
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+autorestart=true
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/Dockerfile b/v1/medcat-trainer/webapp/Dockerfile
new file mode 100644
index 000000000..917344666
--- /dev/null
+++ b/v1/medcat-trainer/webapp/Dockerfile
@@ -0,0 +1,44 @@
+FROM python:3.11
+
+# Update and upgrade everything
+RUN apt-get update -y && \
+    apt-get upgrade -y
+
+# install vim as its annoying not to have an editor
+RUN apt-get install -y vim
+
+# install supervisor
+RUN apt-get install -y supervisor
+
+# install cron - and remove any default tabs
+RUN apt-get install -y cron && which cron && rm -rf /etc/cron.*/*
+
+# Get node and npm
+RUN apt install -y nodejs && apt install -y npm
+
+# Install Rust - for tokenziers dep in medcat.
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
+ENV PATH="/root/.cargo/bin:${PATH}"
+
+# Copy project
+WORKDIR /home
+COPY ./ .
+
+# copy backup crontab and chmod scripts
+RUN chmod u+x /home/scripts/entry.sh && chmod u+x /home/scripts/crontab && cp /home/scripts/crontab /etc/crontab
+
+# Build frontend
+WORKDIR /home/frontend
+RUN npm install && npm run build
+
+# Install requirements for backend
+WORKDIR /home/
+RUN pip install pip --upgrade 
+RUN pip install --upgrade setuptools
+RUN pip install --no-cache-dir -r requirements.txt
+ARG SPACY_MODELS="en_core_web_md"
+RUN for SPACY_MODEL in ${SPACY_MODELS}; do python -m spacy download ${SPACY_MODEL}; done
+
+WORKDIR /home/api/
+RUN chmod a+x /home/scripts/run.sh
+RUN chmod a+x /home/scripts/run-bg-process.sh
diff --git a/v1/medcat-trainer/webapp/api/api/__init__.py b/v1/medcat-trainer/webapp/api/api/__init__.py
new file mode 100644
index 000000000..f9e67cbb5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/__init__.py
@@ -0,0 +1,2 @@
+
+default_app_config = 'api.apps.ApiConfig'
diff --git a/v1/medcat-trainer/webapp/api/api/admin/__init__.py b/v1/medcat-trainer/webapp/api/api/admin/__init__.py
new file mode 100644
index 000000000..ba61bf3d8
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/admin/__init__.py
@@ -0,0 +1,21 @@
+from .models import *
+from .actions import *
+from ..models import *
+
+admin.site.register(Entity)
+admin.site.register(MetaTaskValue)
+admin.site.register(MetaTask)
+admin.site.register(Vocabulary)
+admin.site.register(Relation)
+admin.site.register(EntityRelation)
+admin.site.register(ProjectGroup, ProjectGroupAdmin)
+admin.site.register(ProjectAnnotateEntities, ProjectAnnotateEntitiesAdmin)
+admin.site.register(AnnotatedEntity, AnnotatedEntityAdmin)
+admin.site.register(MetaAnnotation, MetaAnnotationAdmin)
+admin.site.register(ConceptDB, ConceptDBAdmin)
+admin.site.register(Document, DocumentAdmin)
+admin.site.register(ExportedProject, ExportedProjectAdmin)
+admin.site.register(ProjectMetrics, ProjectMetricsAdmin)
+admin.site.register(Dataset, DatasetAdmin)
+admin.site.register(ModelPack, ModelPackAdmin)
+admin.site.register(MetaCATModel, MetaCATModelAdmin)
diff --git a/v1/medcat-trainer/webapp/api/api/admin/actions.py b/v1/medcat-trainer/webapp/api/api/admin/actions.py
new file mode 100644
index 000000000..57b5a16b6
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/admin/actions.py
@@ -0,0 +1,393 @@
+import copy
+import json
+import logging
+from datetime import datetime
+from io import StringIO
+from typing import Dict, List
+
+from background_task import background
+from django.db.models import QuerySet
+from django.http import HttpResponse
+from rest_framework.exceptions import PermissionDenied
+
+from api.models import AnnotatedEntity, MetaAnnotation, EntityRelation, Document, ConceptDB
+from api.solr_utils import drop_collection, import_all_concepts
+
+logger = logging.getLogger(__name__)
+
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+
+def reset_project(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    for project in queryset:
+        # Remove all annotations and cascade to meta anns
+        AnnotatedEntity.objects.filter(project=project).delete()
+
+        # Clear validated_docuents and prepared_documents
+        project.validated_documents.clear()
+        project.prepared_documents.clear()
+
+
+
+def download_without_text(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    return download_projects_without_text(projects, with_doc_name=False)
+
+
+def download_without_text_with_doc_names(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    return download_projects_without_text(projects, with_doc_name=True)
+
+
+def download_projects_without_text(projects, with_doc_name):
+
+    all_projects_out = {'projects': []}
+    for project in projects:
+        out = {}
+        out['name'] = project.name
+        out['id'] = project.id
+        out['cuis'] = project.cuis
+        out['documents'] = []
+
+        if project.cuis_file is not None and project.cuis_file:
+            # Add cuis from json file if it exists
+            cuis_from_file = ",".join(json.load(open(project.cuis_file.path)))
+            all_cuis = out['cuis'] + "," + cuis_from_file if len(out['cuis']) > 0 else cuis_from_file
+            out['cuis'] = all_cuis
+
+        for doc in project.validated_documents.all():
+            out_doc = {}
+            out_doc['id'] = doc.id
+            out_doc['last_modified'] = str(doc.last_modified)
+            out_doc['annotations'] = []
+            if with_doc_name:
+                out_doc['name'] = doc.name
+
+            anns = AnnotatedEntity.objects.filter(project=project, document=doc)
+
+            for ann in anns:
+                out_ann = {}
+                out_ann['id'] = ann.id
+                out_ann['user'] = ann.user.username
+                out_ann['validated'] = ann.validated
+                out_ann['correct'] = ann.correct
+                out_ann['deleted'] = ann.deleted
+                out_ann['alternative'] = ann.alternative
+                out_ann['killed'] = ann.killed
+                out_ann['irrelevant'] = ann.irrelevant
+                out_ann['last_modified'] = str(ann.last_modified)
+                out_ann['manually_created'] = ann.manually_created
+                out_ann['acc'] = ann.acc
+                out_ann['meta_anns'] = {}
+
+                # Get MetaAnnotations
+                meta_anns = MetaAnnotation.objects.filter(annotated_entity=ann)
+                for meta_ann in meta_anns:
+                    o_meta_ann = {}
+                    o_meta_ann['name'] = meta_ann.meta_task.name
+                    o_meta_ann['value'] = meta_ann.meta_task_value.name
+                    o_meta_ann['acc'] = meta_ann.acc
+                    o_meta_ann['validated'] = meta_ann.validated
+
+                    # Add annotation
+                    key = meta_ann.meta_task.name
+                    out_ann['meta_anns'][key] = o_meta_ann
+
+                out_doc['annotations'].append(out_ann)
+            out['documents'].append(out_doc)
+        all_projects_out['projects'].append(out)
+
+    sio = StringIO()
+    json.dump(all_projects_out, sio)
+    sio.seek(0)
+
+    f_name = "MedCAT_Export_No_Text_{}.json".format(datetime.now().strftime('%Y-%m-%d:%H:%M:%S'))
+    response = HttpResponse(sio, content_type='text/json')
+    response['Content-Disposition'] = 'attachment; filename={}'.format(f_name)
+    return response
+
+
+def download(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+    projects = queryset
+    return download_projects_with_text(projects)
+
+
+def download_projects_with_text(projects: QuerySet):
+    all_projects = retrieve_project_data(projects)
+
+    sio = StringIO()
+    json.dump(all_projects, sio)
+    sio.seek(0)
+
+    f_name = "MedCAT_Export_With_Text_{}.json".format(datetime.now().strftime('%Y-%m-%d:%H:%M:%S'))
+    response = HttpResponse(sio, content_type='text/json')
+    response['Content-Disposition'] = 'attachment; filename={}'.format(f_name)
+
+    return response
+
+
+def retrieve_project_data(projects: QuerySet) -> Dict[str, List]:
+    """
+    A function to convert a list of projects and:
+        - their associated documents,
+        - their associated annotations,
+        - their associated Meta annotations and Relation Annotations
+    for serialization.
+    Output schema is as follows: ((optional) indicates this field isn't required for training a MedCAT model)
+    {
+    "projects": [
+        {
+            "name": "<project_name"  # name of the project
+            "id": "<id>"  # the auto-generated id of the project (optional)
+            "project_group_id": "<id>"  # the auto-generated id of the project - nullable
+            "project_group_name": "<group_name>"   # the name of the project group if set.
+            "project_status": "<project_status>"   # status - either annotating, discontinued, complete
+            "project_locked": "<project_locked>"   # locked - for no further annotations
+            "cuis": ["cui_1", "cui_2" ... ]  # the CUI filter for the project, includes those from file / and text-box
+            "meta_anno_defs": [
+                # list of meta annotation tasks configured for this project.
+                {
+                    "name": "Name of meta annotation task",
+                    "values": [
+                        "<first value>",
+                        "<second value>"
+                        ...
+                    ],
+                },
+                ... more meta_annotation tasks configured for this project
+            ],
+            "relation_anno_defs": [
+                "<name1>",
+                "<name2>"
+                ... more relation annotation task names configured for this project
+            ]
+            "documents": [
+                {
+                "id": "<id>"  # the auto-generated id of the document (optional)
+                "name": "<name>"  # the name of the document (optional), but used in stat printing during training
+                "text": "<text>"  # the text of the document
+                "last_modified": "<date time>"  # the last modified-time (optional)
+                "annotations": [{
+                    "id": "<id>"  # the auto-generated id of the document (optional)
+                    "name": "<username string>"  # the user who made the annotation (optional)
+                    "cui": "<cui string>"  # the cui label for this annotation
+                    "value": "<string>"  # the text span for this annotation
+                    "start": <integer>  # the start index of this annotation with respect to the document text
+                    "end": <integer>  # the end index of this annotation with respect to the document text
+                    "validated": <boolean>  # if the annotation has been marked by a human annotator
+                    "correct": <boolean>  # if the text span is correctly linked to the CUI of this annotation
+                    "deleted": <boolean>  # if the text span was incorrectly linked or 'not' linked by MedCAT due to low scores
+                    "alternative": <boolean>  # if the text span was incorrectly linked by MedCAT, then correctly linked by a human annotator
+                    "killed":  <boolean>  # if a human annotator 'terminated' this annotation
+                    "irrelevant": <boolean>  # if a human annotator has marked an annotation as irrelevant (optional)
+                    "acc": <float>  # accuracy provided by MedCAT (optional)
+                    "comment": "<comment string>" # the text entered by an annotator during annotation (optional)
+                    "meta_anns": [
+                        # list of meta annotations if applicable to project
+                        {
+                            "name": <string>  # Meta anno task name, i.e. temporality
+                            "value": <string>  # the selected meta anno task value for, ie. "past" or "present"
+                            "acc":  <float>   # default 1, (optional)
+                            "validated": <boolean>  # Meta annotation has been made by a human annotator, default (true)
+                        },
+                        ... <more meta annotations of the same as above structure>
+                    ]},
+                    ... <more annotations of the same above structure>
+                ]
+                "relations": [
+                    {
+                        "start_entity": <integer>  # id of above annotation that is the start of this relation
+                        "start_entity_cui": "<string>" # the cui label of the start of this relation
+                        "start_entity_value": <string>  # value of the start annotation for this relation
+                        "start_entity_start_idx": <integer>  # start index of text span of start of relation
+                        "start_entity_end_idx": <integer>  # end index of text span of start of relation
+                        "end_entity": <integer>  # id of the above annotation that is the end of this relation
+                        "end_entity_cui": "<string>" # the cui label of the end of this relation
+                        "end_entity_value": <string>  # value of the end annotation for this relation
+                        "end_entity_start_idx": <integer>  # end index of text span of end of relation
+                        "end_entity_end_idx": <integer>  # end index of text span of end of relation
+                        "user": <string>  # username of annotator for relation (optional)
+                        "relation": <string>  # label for this relation
+                        "validated": <boolean>  # if the annotation has been validated by a human annotator, default true.
+                    }
+                    ... < more relations of the samve above structure>
+                ]
+
+                ... <more documents of the same above structure>
+            ]
+    ]
+    }
+
+    Args:
+        projects (QuerySet): the projects to export data for.
+    """
+    all_projects = {'projects': []}
+    for project in projects:
+        out = {}
+        out['name'] = project.name
+        out['id'] = project.id
+        out['cuis'] = project.cuis
+        out['project_group_id'] = project.group.id if project.group else None
+        out['project_group_name'] = project.group.name if project.group else None
+        out['project_status'] = project.project_status
+        out['project_locked'] = project.project_locked
+        out['meta_anno_defs'] = [{'name': t.name, 'values': [v.name for v in t.values.all()]}
+                                 for t in project.tasks.all()]
+        out['relation_anno_defs'] = [r.label for r in project.relations.all()]
+        out['documents'] = []
+
+        if project.cuis_file is not None and project.cuis_file:
+            # Add cuis from json file if it exists
+            cuis_from_file = ",".join(json.load(open(project.cuis_file.path)))
+            all_cuis = out['cuis'] + "," + cuis_from_file if len(out['cuis']) > 0 else cuis_from_file
+            out['cuis'] = all_cuis
+
+        for doc in project.validated_documents.all():
+            out_doc = {}
+            out_doc['id'] = doc.id
+            out_doc['name'] = doc.name
+            out_doc['text'] = doc.text
+            out_doc['last_modified'] = doc.last_modified.strftime(_dt_fmt)
+            out_doc['annotations'] = []
+
+            anns = AnnotatedEntity.objects.filter(project=project, document=doc)
+
+            for ann in anns:
+                out_ann = {}
+                out_ann['id'] = ann.id
+                out_ann['user'] = ann.user.username
+                out_ann['cui'] = ann.entity.label
+                out_ann['value'] = ann.value
+                out_ann['start'] = ann.start_ind
+                out_ann['end'] = ann.end_ind
+                out_ann['validated'] = ann.validated
+                out_ann['correct'] = ann.correct
+                out_ann['deleted'] = ann.deleted
+                out_ann['alternative'] = ann.alternative
+                out_ann['killed'] = ann.killed
+                out_ann['irrelevant'] = ann.irrelevant
+                out_ann['create_time'] = ann.create_time.strftime(_dt_fmt)
+                out_ann['last_modified'] = ann.last_modified.strftime(_dt_fmt)
+                out_ann['comment'] = ann.comment
+                out_ann['manually_created'] = ann.manually_created
+                out_ann['acc'] = ann.acc
+                out_ann['meta_anns'] = {}
+
+                # Get MetaAnnotations
+                meta_anns = MetaAnnotation.objects.filter(annotated_entity=ann)
+                for meta_ann in meta_anns:
+                    o_meta_ann = {}
+                    o_meta_ann['name'] = meta_ann.meta_task.name
+                    o_meta_ann['value'] = meta_ann.meta_task_value.name
+                    o_meta_ann['acc'] = meta_ann.acc
+                    o_meta_ann['validated'] = meta_ann.validated
+
+                    # Add annotation
+                    key = meta_ann.meta_task.name
+                    out_ann['meta_anns'][key] = o_meta_ann
+
+                out_doc['annotations'].append(out_ann)
+
+            # Add relations if they exist
+            rels = EntityRelation.objects.filter(project=project, document=doc)
+            out_rels = []
+            out_rel = {}
+            for rel in rels:
+                out_rel['start_entity'] = rel.start_entity.id
+                out_rel['start_entity_cui'] = rel.start_entity.entity.label
+                out_rel['start_entity_value'] = rel.start_entity.value
+                out_rel['start_entity_start_idx'] = rel.start_entity.start_ind
+                out_rel['start_entity_end_idx'] = rel.start_entity.end_ind
+                out_rel['end_entity'] = rel.end_entity.id
+                out_rel['end_entity_cui'] = rel.end_entity.entity.label
+                out_rel['end_entity_value'] = rel.end_entity.value
+                out_rel['end_entity_start_idx'] = rel.end_entity.start_ind
+                out_rel['end_entity_end_idx'] = rel.end_entity.end_ind
+                out_rel['user'] = rel.user.username
+                out_rel['relation'] = rel.relation.label
+                out_rel['validated'] = rel.validated
+
+                out_rels.append(out_rel)
+                out_rel = {}
+            out_doc['relations'] = out_rels
+
+            out['documents'].append(out_doc)
+        all_projects['projects'].append(out)
+    return all_projects
+
+
+def clone_projects(modeladmin, request, queryset):
+    if not request.user.is_staff:
+        raise PermissionDenied
+
+    projects = queryset
+    for project in projects:
+        project_copy = copy.copy(project)
+        project_copy.id = None
+        project_copy.pk = None
+        project_copy.name = f'{project.name} (Clone)'
+        project_copy.save()
+
+        # Add M2M fields
+        for m in project.members.all():
+            project_copy.members.add(m)
+        for c in project.cdb_search_filter.all():
+            project_copy.cdb_search_filter.add(c)
+        for t in project.tasks.all():
+            project_copy.tasks.add(t)
+
+        project_copy.save()
+
+
+def dataset_document_counts(dataset):
+    return f'{Document.objects.filter(dataset=dataset).count()}'
+
+
+@background(schedule=5)
+def _reset_cdb_filters(id):
+    from medcat.cdb import CDB
+    concept_db = ConceptDB.objects.get(id=id)
+    cdb = CDB.load(concept_db.cdb_file.path)
+    cdb.config.linking['filters'] = {'cuis': set()}
+    cdb.save(concept_db.cdb_file.path)
+
+
+@background(schedule=5)
+def import_concepts_from_cdb(cdb_model_id: int):
+    from medcat.cdb import CDB
+
+    cdb_model = ConceptDB.objects.get(id=cdb_model_id)
+    cdb = CDB.load(cdb_model.cdb_file.path)
+
+    import_all_concepts(cdb, cdb_model)
+
+
+def reset_cdb_filters(modeladmin, request, queryset):
+    for concept_db in queryset:
+        _reset_cdb_filters(concept_db.id)
+
+
+def import_concepts(modeladmin, request, queryset):
+    for concept_db in queryset:
+        logger.info(f'Importing concepts for collection {concept_db.name}_id_{concept_db.id}')
+        import_concepts_from_cdb(concept_db.id)
+
+
+def delete_indexed_concepts(modeladmin, request, queryset):
+    for concept_db in queryset:
+        drop_collection(concept_db)
+
+
+def remove_all_documents(modeladmin, request, queryset):
+    Document.objects.all().delete()
diff --git a/v1/medcat-trainer/webapp/api/api/admin/models.py b/v1/medcat-trainer/webapp/api/api/admin/models.py
new file mode 100644
index 000000000..a18e208e5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/admin/models.py
@@ -0,0 +1,214 @@
+from django.contrib import admin
+from django.contrib.auth.models import User
+from django.forms import fields
+from django.http import HttpResponseRedirect
+from django.shortcuts import get_object_or_404
+
+from .actions import *
+from ..models import *
+
+_PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER = (
+    'concept_db', 'vocab', 'model_pack', 'cdb_search_filter', 'deid_model_annotation', 'require_entity_validation', 'train_model_on_submit',
+    'add_new_entities', 'restrict_concept_lookup', 'terminate_available', 'irrelevant_available',
+    'enable_entity_annotation_comments', 'tasks', 'relations'
+)
+
+_PROJECT_FIELDS_ORDER = (
+    'cuis', 'cuis_file', 'annotation_classification', 'project_locked', 'project_status'
+)
+
+
+class ReportErrorModelAdminMixin:
+    """Mixin to catch all errors in the Django Admin and map them to user-visible errors."""
+    def changeform_view(self, request, object_id=None, form_url='', extra_context=None):
+        try:
+            return super().changeform_view(request, object_id, form_url, extra_context)
+        except Exception as e:
+            self.message_user(request, f'Error with previous action: {e}', level=logging.ERROR)
+            return HttpResponseRedirect(request.path)
+
+
+
+dataset_document_counts.short_description = 'Document Count'
+
+
+class DatasetAdmin(ReportErrorModelAdminMixin, admin.ModelAdmin):
+    model = Dataset
+    form = DatasetForm
+    list_display = ['name', 'create_time', 'description', dataset_document_counts]
+
+
+class ProjectAnnotateEntitiesAdmin(admin.ModelAdmin):
+    model = ProjectAnnotateEntities
+    actions = [download, download_without_text, download_without_text_with_doc_names, reset_project, clone_projects]
+    list_filter = ('members', 'project_status', 'project_locked', 'annotation_classification')
+    list_display = ['name']
+    fields = (('group', 'name', 'description', 'annotation_guideline_link', 'members',
+               'dataset', 'validated_documents', 'prepared_documents') +
+              _PROJECT_FIELDS_ORDER +
+              _PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER)
+
+    def formfield_for_foreignkey(self, db_field, request, **kwargs):
+        if db_field.name == 'concept_db':
+            kwargs['queryset'] = ConceptDB.objects.filter(use_for_training=True)
+        return super(ProjectAnnotateEntitiesAdmin, self).formfield_for_foreignkey(db_field, request, **kwargs)
+
+    def formfield_for_manytomany(self, db_field, request, **kwargs):
+        if db_field.name == 'cdb_search_filter':
+            kwargs['queryset'] = ConceptDB.objects.all()
+        if db_field.name in ('validated_documents', 'prepared_documents'):
+            project_id = request.path.replace('/admin/api/projectannotateentities/', '').split('/')[0]
+            try:
+                proj = ProjectAnnotateEntities.objects.get(id=int(project_id))
+                kwargs['queryset'] = Document.objects.filter(dataset=proj.dataset.id)
+            except ValueError:  # a blank project has no validated_documents
+                kwargs['queryset'] = Document.objects.none()
+        return super(ProjectAnnotateEntitiesAdmin, self).formfield_for_manytomany(db_field, request, **kwargs)
+
+
+class ProjectGroupAdmin(admin.ModelAdmin):
+    model = ProjectGroup
+    list_display = ('name', 'description')
+    fields = (('name', 'description', 'create_associated_projects', 'annotation_guideline_link', 'administrators',
+               'annotators', 'dataset') +
+              _PROJECT_FIELDS_ORDER + _PROJECT_ANNO_ENTS_SETTINGS_FIELD_ORDER)
+
+    class Meta:
+        model = ProjectGroup
+
+    def get_form(self, request, obj=None, change=False, **kwargs):
+        form = super().get_form(request, obj, **kwargs)
+        return form
+
+    def _set_proj_from_group(self, proj: ProjectAnnotateEntities, group: ProjectGroup,
+                             annotator: settings.AUTH_USER_MODEL, admins: List[User],
+                             cdb_search_filters: List[ConceptDB], tasks: List[MetaTask], relations: List[Relation]):
+        proj.group = group
+        proj.name = f'{group.name} - {str(annotator)}'
+        proj.description = group.description
+        proj.dataset = group.dataset
+        proj.annotation_guideline_link = group.annotation_guideline_link
+        proj.create_time = group.create_time
+        proj.cuis = group.cuis
+        proj.cuis_file = group.cuis_file
+        proj.annotation_classification = group.annotation_classification
+        proj.project_locked = group.project_locked
+        proj.project_status = group.project_status
+        proj.concept_db = group.concept_db
+        proj.vocab = group.vocab
+        proj.require_entity_validation = group.require_entity_validation
+        proj.train_model_on_submit = group.train_model_on_submit
+        proj.add_new_entities = group.add_new_entities
+        proj.restrict_concept_lookup = group.restrict_concept_lookup
+        proj.terminate_available = group.terminate_available
+        proj.irrelevant_available = group.irrelevant_available
+        proj.enable_entity_annotation_comments = group.enable_entity_annotation_comments
+
+        # project specific attrs / m2m fields
+        proj.save()
+        proj.cdb_search_filter.set(cdb_search_filters)
+        proj.members.set(admins)
+        proj.members.add(annotator)
+        proj.tasks.set(tasks)
+        proj.relations.set(relations)
+        proj.save()
+        return proj
+
+    def save_model(self, request, obj, form, change):
+        super().save_model(request, obj, form, change)
+        annotators = [get_object_or_404(User, pk=id) for id in request.POST.getlist('annotators')]
+        admins = [get_object_or_404(User, pk=id) for id in request.POST.getlist('administrators')]
+        cdb_search_filters = [get_object_or_404(ConceptDB, pk=id) for id in request.POST.getlist('cdb_search_filter')]
+        tasks = [get_object_or_404(MetaTask, pk=id) for id in request.POST.getlist('tasks')]
+        relations = [get_object_or_404(Relation, pk=id) for id in request.POST.getlist('relations')]
+
+        # create the underlying ProjectAnnotateEntities models or edit them
+        if obj.create_associated_projects:
+            if not change:
+                # new ProjectGroup being created
+                for annotator in annotators:
+                    self._set_proj_from_group(ProjectAnnotateEntities(), obj, annotator,
+                                              admins, cdb_search_filters, tasks, relations)
+            else:
+                # applying these settings to all previously created projects within this group
+                projs = ProjectAnnotateEntities.objects.filter(group=obj)
+                if len(projs) == len(obj.annotators.all()):
+                    for proj, annotator in zip(projs, obj.annotators.all()):
+                       self._set_proj_from_group(proj, obj, annotator, admins, cdb_search_filters,
+                                                 tasks, relations)
+                else:
+                    raise ValueError("Attempting to update a ProjectGroup but one or more "
+                                     "of underlying ProjectAnnotateEntities have been removed / or added "
+                                     "manually. To fix, go into each project separately, or create new projects "
+                                     "and link to the ProjectGroup within ProjectAnnotateEntities page.")
+
+
+class AnnotatedEntityAdmin(admin.ModelAdmin):
+    list_display = ('user', 'project', 'entity', 'value', 'deleted', 'validated')
+    list_filter = ('user', 'project', 'deleted', 'validated')
+    model = AnnotatedEntity
+
+
+class ConceptDBAdmin(admin.ModelAdmin):
+    model = ConceptDB
+    actions = [import_concepts, delete_indexed_concepts, reset_cdb_filters]
+    list_display = ('name', 'use_for_training', 'create_time', 'last_modified', 'last_modified_by')
+    fields = ('name', 'cdb_file', 'use_for_training')
+
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class VocabularyAdmin(admin.ModelAdmin):
+    model = Vocabulary
+    list_display = ('name', 'create_time', 'last_modified', 'last_modified_by')
+    fields = ('name', 'vocab_file', 'create_time', 'last_modified', 'last_modified_by')
+    
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class ModelPackAdmin(admin.ModelAdmin):
+    model = ModelPack
+    list_display = ('name', 'model_pack', 'concept_db', 'vocab', 'metacats')
+    fields = ['name', 'model_pack']
+
+    def metacats(self, obj):
+        return ", ".join(str(m_c) for m_c in obj.meta_cats.all())
+    
+    def save_model(self, request, obj, form, change):
+        obj.last_modified_by = request.user
+        super().save_model(request, obj, form, change)
+
+
+class MetaCATModelAdmin(admin.ModelAdmin):
+    model = MetaCATModel
+    list_display = ('name', 'meta_cat_dir')
+
+
+class MetaAnnotationAdmin(admin.ModelAdmin):
+    model = MetaAnnotation
+    list_display = ('annotated_entity', 'meta_task', 'meta_task_value', 'acc',
+                    'predicted_meta_task_value', 'validated', 'last_modified')
+    list_filter = ('meta_task', 'meta_task_value', 'predicted_meta_task_value', 'validated')
+
+
+class DocumentAdmin(admin.ModelAdmin):
+    model = Document
+    actions = [remove_all_documents]
+    list_filter = ('dataset',)
+    list_display = ['name', 'create_time', 'dataset', 'last_modified']
+
+
+class ExportedProjectAdmin(admin.ModelAdmin):
+    model = ExportedProject
+
+
+class ProjectMetricsAdmin(admin.ModelAdmin):
+    model = ProjectMetrics
+    list_display = ('report_name', 'report_name_generated')
+    list_filter = ['projects']
+
+
diff --git a/v1/medcat-trainer/webapp/api/api/apps.py b/v1/medcat-trainer/webapp/api/api/apps.py
new file mode 100644
index 000000000..099b97501
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/apps.py
@@ -0,0 +1,35 @@
+import logging
+import os
+
+from django.apps import AppConfig
+
+logger = logging.getLogger(__name__)
+
+
+class ApiConfig(AppConfig):
+    name = 'api'
+
+    def ready(self):
+        from api.views import _submit_document
+        from api.models import ProjectAnnotateEntities
+        from . import signals
+        resubmit_all = os.environ.get('RESUBMIT_ALL_ON_STARTUP', None)
+        if resubmit_all is not None and resubmit_all.lower() in ('1', 'y', 'true'):
+            logger.info('Found env var RESUBMIT_ALL_ON_STARTUP is True. '
+                        'Attempting to resubmit all currently submitted state documents')
+
+            projects = ProjectAnnotateEntities.objects.all()
+            for project in projects:
+                if project.project_status == 'A':
+                    logger.info('Found project %s - in annotating state - resubmitting all validated documents...',
+                                project.name)
+                    validated_docs = project.validated_documents.all()
+                    if len(validated_docs):
+                        for doc in validated_docs:
+                            try:
+                                _submit_document(project, doc)
+                                logger.info("Submitted doc: %s", doc.name)
+                            except Exception as e:
+                                logger.error("Failed to re-submit doc on startup with exception %s", e)
+                    logger.info("Finished resubmitting Project %s", project.name)
+        logger.info("MedCATTrainer App API ready...")
diff --git a/v1/medcat-trainer/webapp/api/api/data_utils.py b/v1/medcat-trainer/webapp/api/api/data_utils.py
new file mode 100644
index 000000000..8e29719cc
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/data_utils.py
@@ -0,0 +1,209 @@
+import json
+import logging
+import re
+from collections import defaultdict
+from datetime import datetime
+from typing import Dict
+
+from django.contrib.auth.models import User
+from django.db import transaction
+from django.db.models import Q
+
+from core.settings import MEDIA_ROOT
+from .models import *
+from .utils import env_str_to_bool
+
+_MAX_DATASET_SIZE_DEFAULT = 10000
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+logger = logging.getLogger(__name__)
+
+
+def dataset_from_file(dataset: Dataset):
+    if '.csv' in dataset.original_file.path:
+        df = pd.read_csv(dataset.original_file.path, on_bad_lines='error')
+    elif '.xlsx' in dataset.original_file.path:
+        df = pd.read_excel(dataset.original_file.path)
+    else:
+        raise Exception("Please make sure the file is either a .csv or .xlsx format")
+
+    df.columns = [c.lower() for c in df.columns]
+    max_dataset_size = int(os.environ.get('MAX_DATASET_SIZE', _MAX_DATASET_SIZE_DEFAULT))
+
+    if df['name'].nunique() != df.shape[0] and env_str_to_bool('UNIQUE_DOC_NAMES_IN_DATASETS', True):
+        raise Exception('name column entries must be unique')
+
+    if df.shape[0] > int(max_dataset_size):
+        raise Exception(f'Attempting to upload a dataset with {df.shape[0]} rows. The Max dataset size is set to'
+                        f' {max_dataset_size}, please reduce the number of rows or contact the MedCATTrainer'
+                        f' administrator to increase the env var value:MAX_DATASET_SIZE')
+
+    if 'text' not in df.columns or 'name' not in df.columns:
+        raise Exception("Please make sure the uploaded file has a column with two columns:'name', 'text'. "
+                        "The 'name' column are document IDs, and the 'text' column is the text you're "
+                        "collecting annotations for")
+
+    with transaction.atomic():
+        for i, row in enumerate(df.iterrows()):
+            row = row[1]
+            document = Document()
+            document.name = row['name']
+            document.text = sanitise_input(row['text'])
+            document.dataset = dataset
+            document.save()
+
+
+def sanitise_input(text: str):
+    tags = [('<br>', '\n'), ('</?p>', '\n'), ('<span(?:.*?)?>', ''),
+            ('</span>', ''), ('<div (?:.*?)?>', '\n'), ('</div>', '\n'),
+            ('</?html>', ''), ('</?body>', ''), ('</?head>', '')]
+    for tag, repl in tags:
+        text = re.sub(tag, repl, text)
+    return text
+
+
+def delete_orphan_docs(dataset: Dataset):
+    Document.objects.filter(dataset__id=dataset.id).delete()
+
+
+def upload_projects_export(medcat_export: Dict):
+    for proj in medcat_export['projects']:
+        p = ProjectAnnotateEntities()
+        p.name = proj['name'] + ' IMPORTED'
+        if len(proj['cuis']) > 1000:
+            # store large CUI lists in a json file.
+            cuis_file_name = MEDIA_ROOT + '/' + re.sub('/|\.', '_', p.name + '_cuis_file') + '.json'
+            json.dump(proj["cuis"].split(','), open(cuis_file_name, 'w'))
+            p.cuis = ""
+            p.cuis_file.name = cuis_file_name
+        else:
+            p.cuis = proj['cuis']
+
+        # ensure current deployment has the neccessary - Entity, MetaTak, Relation, and warn on not present User objects.
+        ent_labels, meta_tasks, rels, unavailable_users, available_users = set(), defaultdict(set), set(), set(), dict()
+        for doc in proj['documents']:
+            for anno in doc['annotations']:
+                ent_labels.add(anno['cui'])
+                for meta_anno in anno['meta_anns'].values():
+                    meta_tasks[meta_anno['name']].add(meta_anno['value'])
+                user_obj = User.objects.filter(username=anno['user']).first()
+                if user_obj is None:
+                    unavailable_users.add(anno['user'])
+                elif anno['user'] not in available_users:
+                    available_users[anno['user']] = user_obj
+            for rel in doc.get('relations', []):
+                rels.add(rel['relation'])
+        # escape - filename
+        ds_file_name = MEDIA_ROOT + '/' + re.sub('/|\.', '_', p.name + '_dataset') + '.csv'
+        names = [doc['name'] for doc in proj['documents']]
+        if len(set(names)) != len(names):  # ensure names are unique for docs
+            names = [f'{i} - {names[i]}' for i in range(len(names))]
+        pd.DataFrame({'name': names,
+                      'text': [doc['text'] for doc in proj['documents']]}).to_csv(ds_file_name)
+        ds_mod = Dataset()
+        ds_mod.name = p.name + '_dataset'
+        ds_mod.original_file.name = ds_file_name
+        ds_mod.save()
+        p.dataset = ds_mod
+        p.save()
+
+        # create django ORM model instances that are referenced in the upload if they don't exist.
+        for u in unavailable_users:
+            logger.warning(f'Username: {u} - not present in this trainer deployment.')
+        for ent_lab in ent_labels:
+            ent = Entity.objects.filter(label=ent_lab).first()
+            if ent is None:
+                ent = Entity()
+                ent.label = ent_lab
+                ent.save()
+        for task in meta_tasks:
+            if MetaTask.objects.filter(name=task).first() is None:
+                m_task = MetaTask()
+                m_task.name = task
+                m_task.save()
+                # create the MetaTask Values.
+            for task_val in meta_tasks[task]:
+                if MetaTaskValue.objects.filter(name=task_val).first() is None:
+                    mt_value = MetaTaskValue()
+                    mt_value.name = task_val
+                    mt_value.save()
+            m_task = MetaTask.objects.filter(name=task).first()
+            curr_vals = m_task.values.all()
+            task_vals = [MetaTaskValue.objects.filter(name=m_t).first() for m_t in meta_tasks[task]]
+            m_task.values.set(set(list(curr_vals) + task_vals))
+
+        for rel in rels:
+            if Relation.objects.filter(label=rel).first() is None:
+                r = Relation()
+                r.label = rel
+                r.save()
+
+        p.validated_documents.set(list(Document.objects.filter(dataset=ds_mod)))
+
+        for doc in proj['documents']:
+            doc_mod = Document.objects.filter(Q(dataset=ds_mod) & Q(text=doc['text'])).first()
+            annos = []
+            for anno in doc['annotations']:
+                a = AnnotatedEntity()
+                a.user = available_users[anno['user']]
+                a.project = p
+                a.document = doc_mod
+                e = Entity.objects.get(label=anno['cui'])
+                a.entity = e
+                a.value = anno['value']
+                a.start_ind = anno['start']
+                a.end_ind = anno['end']
+                a.validated = anno['validated']
+                a.correct = anno['correct']
+                a.deleted = anno['deleted']
+                a.alternative = anno['alternative']
+                a.killed = anno['killed']
+                a.irrelevant = anno.get('irrelevant', False)  # Added later - so False by default for compatibility
+                if anno.get('last_modified') is not None:
+                    try:
+                        a.last_modified = datetime.strptime(anno['last_modified'], _dt_fmt)
+                    except ValueError:
+                        a.last_modified = datetime.now()
+                if anno.get('create_time') is not None:
+                    try:
+                        a.create_time = datetime.strptime(anno['create_time'], _dt_fmt)
+                    except ValueError:
+                        a.create_time = datetime.now()
+                a.comment = anno.get('comment')
+                a.manually_created = anno['manually_created']
+
+                a.acc = anno['acc']
+                a.save()
+                annos.append(a)
+                for task_name, meta_anno in anno['meta_anns'].items():
+                    m_a = MetaAnnotation()
+                    m_a.annotated_entity = a
+                    # there will be at least one or more of these available.
+                    m_a = MetaTask.objects.filter(name=task_name).first()
+                    m_a.validated = meta_anno['validated']
+                    m_a.save()
+                    # missing acc on the model
+            anno_to_doc_ind = {a.start_ind: a for a in annos}
+
+            for relation in doc.get('relations', []):
+                er = EntityRelation()
+                er.user = available_users[relation['user']]
+                er.project = p
+                er.document = doc_mod
+                # there will be at least one or more of these available.
+                er.relation = Relation.objects.filter(label=relation['relation']).first()
+                er.validated = er.validated
+                # link relations with start and end anno ents
+                er.start_entity = anno_to_doc_ind[relation['start_entity_start_idx']]
+                er.end_entity = anno_to_doc_ind[relation['end_entity_start_idx']]
+                try:
+                    er.create_time = datetime.strptime(relation['create_time'], _dt_fmt)
+                except ValueError:
+                    er.create_time = datetime.now()
+                try:
+                    er.last_modified = datetime.strptime(relation['last_modified_time'], _dt_fmt)
+                except ValueError:
+                    er.last_modified = datetime.now()
+                er.save()
+        logger.info(f"Finished annotation import for project {proj['name']}")
+    logger.info('Finished importing all projects')
diff --git a/v1/medcat-trainer/webapp/api/api/fixtures/text_class_values.json b/v1/medcat-trainer/webapp/api/api/fixtures/text_class_values.json
new file mode 100644
index 000000000..deacfae2d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/fixtures/text_class_values.json
@@ -0,0 +1,23 @@
+[
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 1,
+    "fields": {
+      "name": "true"
+    }
+  },
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 2,
+    "fields": {
+      "name": "false"
+    }
+  },
+  {
+    "model": "annoapp.textclassvalue",
+    "pk": 3,
+    "fields": {
+      "name": "skip"
+    }
+  }
+]
diff --git a/v1/medcat-trainer/webapp/api/api/medcat_utils.py b/v1/medcat-trainer/webapp/api/api/medcat_utils.py
new file mode 100644
index 000000000..7015645c5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/medcat_utils.py
@@ -0,0 +1,68 @@
+import logging
+from collections import defaultdict
+from typing import List
+
+from medcat.cdb import CDB
+
+
+logger = logging.getLogger(__name__)
+
+
+def ch2pt_from_pt2ch(cdb: CDB):
+    ch2pt = defaultdict(list)
+    for k, vals in cdb.addl_info['pt2ch'].items():
+        for v in vals:
+            ch2pt[v].append(k)
+    return ch2pt
+
+
+def get_all_ch(parent_cui: str, cdb: CDB):
+    all_ch = [parent_cui]
+    for cui in cdb.addl_info['pt2ch'].get(parent_cui, []):
+        cui_chs = get_all_ch(cui, cdb)
+        all_ch += cui_chs
+    return dedupe_preserve_order(all_ch)
+
+
+def dedupe_preserve_order(items: List[str]) -> List[str]:
+    seen = set()
+    deduped_list = []
+    for item in items:
+        if item not in seen:
+            seen.add(item)
+            deduped_list.append(item)
+    return deduped_list
+
+
+def snomed_ct_concept_path(cui: str, cdb: CDB):
+    try:
+        top_level_parent_node = '138875005'
+
+        def find_parents(cui, cuis2nodes, child_node=None):
+            parents = list(cdb.addl_info['ch2pt'][cui])
+            all_links = []
+            if cui not in cuis2nodes:
+                curr_node = {'cui': cui, 'pretty_name': cdb.cui2preferred_name[cui]}
+                if child_node:
+                    curr_node['children'] = [child_node]
+                cuis2nodes[cui] = curr_node
+                if len(parents) > 0:
+                    all_links += find_parents(parents[0], cuis2nodes, child_node=curr_node)
+                    for p in parents[1:]:
+                        links = find_parents(p, cuis2nodes)
+                        all_links += [{'parent': p, 'child': cui}] + links
+            else:
+                if child_node:
+                    if 'children' not in cuis2nodes[cui]:
+                        cuis2nodes[cui]['children'] = []
+                    cuis2nodes[cui]['children'].append(child_node)
+            return all_links
+        cuis2nodes = dict()
+        all_links = find_parents(cui, cuis2nodes)
+        return {
+            'node_path': cuis2nodes[top_level_parent_node],
+            'links': all_links
+        }
+    except KeyError as e:
+        logger.warning(f'Cannot find path concept path:{e}')
+        return []
diff --git a/v1/medcat-trainer/webapp/api/api/metrics.py b/v1/medcat-trainer/webapp/api/api/metrics.py
new file mode 100644
index 000000000..faaad4960
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/metrics.py
@@ -0,0 +1,441 @@
+import json
+import logging
+import math
+import os
+import warnings
+from collections import Counter
+from typing import List, Dict
+from background_task import background
+
+import numpy as np
+import pandas as pd
+import torch
+from background_task.models import Task
+from django.contrib.auth.models import User
+from django.db.models import QuerySet
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.config_meta_cat import ConfigMetaCAT
+from medcat.meta_cat import MetaCAT
+from medcat.tokenizers.meta_cat_tokenizers import TokenizerWrapperBase
+from medcat.utils.meta_cat.data_utils import prepare_from_json, encode_category_values
+from medcat.utils.meta_cat.ml_utils import create_batch_piped_data
+from medcat.vocab import Vocab
+from torch import nn
+
+from api.admin import retrieve_project_data
+from api.models import AnnotatedEntity, ProjectAnnotateEntities, ProjectMetrics as AppProjectMetrics
+from core.settings import MEDIA_ROOT
+
+_dt_fmt = '%Y-%m-%d %H:%M:%S.%f'
+
+logger = logging.getLogger(__name__)
+
+
+@background(schedule=1, queue='metrics')
+def calculate_metrics(project_ids: List[int], report_name: str):
+    """
+    Computes metrics in a background task
+    :param projects: list of projects to compute metrics for.
+        Uses the 'first' for the CDB / vocab or ModelPack,
+        but should be the same CDB, but will still try and compute metrics regardless.
+    :return: computed metrics results
+    """
+    logger.info('Calculating metrics for report: %s', report_name)
+    projects = [ProjectAnnotateEntities.objects.filter(id=p_id).first() for p_id in project_ids]
+    loaded_model_pack = False
+    if projects[0].model_pack:
+        # assume the model pack is set.
+        cat = CAT.load_model_pack(projects[0].model_pack.model_pack.path)
+        loaded_model_pack = True
+    else:
+        # assume the cdb / vocab is set in these projects
+        cdb = CDB.load(projects[0].concept_db.cdb_file.path)
+        vocab = Vocab.load(projects[0].vocab.vocab_file.path)
+        cat = CAT(cdb, vocab, config=cdb.config)
+    project_data = retrieve_project_data(projects)
+    metrics = ProjectMetrics(project_data, cat)
+    report = metrics.generate_report(meta_ann=loaded_model_pack)
+    report_file_path = f'{MEDIA_ROOT}/{report_name}.json'
+    json.dump(report, open(report_file_path, 'w'))
+    apm = AppProjectMetrics()
+    apm.report_name_generated = report_name
+    apm.report.name = report_file_path
+    apm.save()
+    apm.projects.set(projects)
+    logger.info('Finished calculating metrics for report: %s, saved results in ProjectMetrics(id=%s)',
+                report_name, apm.id)
+
+
+class ProjectMetrics(object):
+    """
+    Class to analyse MedCATtrainer exports
+    """
+
+    def __init__(self, mct_export_data: dict, cat: CAT):
+        """
+        :param mct_export_paths: List of paths to MedCATtrainer exports
+        """
+        self.mct_export = mct_export_data
+        self.cat = cat
+        self.projects2names = {}
+        self.projects2doc_ids = {}
+        self.docs2names = {}
+        self.docs2texts = {}
+        self.meta_task_summary = {}
+        self.annotations = self._annotations()
+
+    def _annotations(self):
+        ann_lst = []
+        for proj in self.mct_export['projects']:
+            self.projects2names[proj['id']] = proj['name']
+            self.projects2doc_ids[proj['id']] = [doc['id'] for doc in proj['documents']]
+            for doc in proj['documents']:
+                self.docs2names[doc['id']] = doc['name']
+                self.docs2texts[doc['id']] = doc['text']
+                for anns in doc['annotations']:
+                    meta_anns_dict = dict()
+                    for meta_ann in anns['meta_anns'].items():
+                        meta_anns_dict.update({meta_ann[0]: meta_ann[1]['value']})
+                    _anns = anns.copy()
+                    _anns.pop('meta_anns')
+                    output = dict()
+                    output['project'] = proj['name']
+                    output['project_id'] = proj['id']
+                    output['document_name'] = doc['name']
+                    output['document_id'] = doc['id']
+                    output.update(_anns)
+                    output.update(meta_anns_dict)
+                    ann_lst.append(output)
+        return ann_lst
+
+    def annotation_df(self):
+        """
+        DataFrame of all annotations created
+        :return: DataFrame
+        """
+        annotation_df = pd.DataFrame(self.annotations)
+        if self.cat:
+            annotation_df.insert(5, 'concept_name', annotation_df['cui'].map(self.cat.cdb.cui2preferred_name))
+        annotation_df['last_modified'] = pd.to_datetime(annotation_df['last_modified']).dt.tz_localize(None)
+        return annotation_df
+
+    def concept_summary(self, extra_cui_filter=None):
+        """
+        Summary of only correctly annotated concepts from a mct export
+        :return: DataFrame summary of annotations.
+        """
+        concept_output = self.annotation_df()
+        concept_output = concept_output[concept_output['validated'] & ((concept_output['correct']) | (concept_output['alternative']))]
+        if self.cat:
+            concept_count = concept_output.groupby(['cui', 'concept_name']).agg({'value': set, 'id': 'count'})
+        else:
+            concept_count = concept_output.groupby(['cui']).agg({'value': set, 'id': 'count'})
+        concept_count_df = pd.DataFrame(concept_count).reset_index(drop=False)
+        concept_count_df['variations'] = concept_count_df['value'].apply(lambda x: len(x))
+        concept_count_df.rename({'id': 'concept_count'}, axis=1, inplace=True)
+        concept_count_df = concept_count_df.sort_values(by='concept_count', ascending=False).reset_index(drop=True)
+        concept_count_df['count_variations_ratio'] = round(concept_count_df['concept_count'] /
+                                                           concept_count_df['variations'], 3)
+        if self.cat:
+            fps, fns, tps, cui_prec, cui_rec, cui_f1, cui_counts, examples = self.cat._print_stats(data=self.mct_export,
+                                                                                                   use_project_filters=True,
+                                                                                                   extra_cui_filter=extra_cui_filter)
+            # remap tps, fns, fps to specific user annotations
+            examples = self.enrich_medcat_metrics(examples)
+            concept_count_df['fps'] = concept_count_df['cui'].map(fps)
+            concept_count_df['fns'] = concept_count_df['cui'].map(fns)
+            concept_count_df['tps'] = concept_count_df['cui'].map(tps)
+            concept_count_df['cui_prec'] = concept_count_df['cui'].map(cui_prec)
+            concept_count_df['cui_rec'] = concept_count_df['cui'].map(cui_rec)
+            concept_count_df['cui_f1'] = concept_count_df['cui'].map(cui_f1)
+            #concept_count_df['cui_counts'] = concept_count_df['cui'].map(cui_counts) # TODO check why cui counts is incorrect
+            examples_df = pd.DataFrame(examples).rename_axis('cui').reset_index(drop=False). \
+                rename(columns={'fp': 'fp_examples',
+                                'fn': 'fn_examples',
+                                'tp': 'tp_examples'})
+            concept_count_df = concept_count_df.merge(examples_df, how='left', on='cui').fillna(0)
+
+            # Process examples to ensure underscores are preserved
+            for col in ['fp_examples', 'fn_examples', 'tp_examples']:
+                if col in concept_count_df.columns:
+                    concept_count_df[col] = concept_count_df[col].apply(lambda x: x if isinstance(x, list) else [])
+
+        # brittle - probably shouldn't rely on cat._print_stats ...
+        concept_summary = concept_count_df.to_dict('records')
+        # convert sets to lists and ensure examples are properly formatted
+        concept_summary = [{k: list(v) if isinstance(v, set) else v for k, v in row.items()} for row in concept_summary]
+        return concept_summary
+
+    def enrich_medcat_metrics(self, examples):
+        """
+        Add the user prop to the medcat output metrics. Can potentially add more later for each of the categories
+        """
+        for tp in [i for e_i in examples['tp'].values() for i in e_i]:
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=tp['project id'], document_id=tp['document id'],
+                                                  start_ind=tp['start'], end_ind=tp['end'])
+                tp['user'] = ann.user.username
+            except:
+                tp['user'] = None
+        for fp in (i for e_i in examples['fp'].values() for i in e_i):
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=fp['project id'], document_id=fp['document id'],
+                                                  start_ind=fp['start'], end_ind=fp['end'])
+                fp['user'] = ann.user.username
+            except:
+                fp['user'] = None
+        for fn in (i for e_i in examples['fn'].values() for i in e_i):
+            try:
+                ann = AnnotatedEntity.objects.get(project_id=fn['project id'], document_id=fn['document id'],
+                                                  start_ind=fn['start'], end_ind=fn['end'])
+                fn['user'] = ann.user.username
+            except:
+                fn['user'] = None
+        return examples
+
+    def user_stats(self, by_user: bool = True):
+        """
+        Summary of user annotation work done
+
+        :param by_user: User Stats grouped by user rather than day
+        :return: DataFrame of user annotation work done
+        """
+        df = self.annotation_df()[['user', 'last_modified']]
+        data = df.groupby([df['last_modified'].dt.year.rename('year'),
+                           df['last_modified'].dt.month.rename('month'),
+                           df['last_modified'].dt.day.rename('day'),
+                           df['user']]).agg({'count'})
+        data = pd.DataFrame(data)
+        data.columns = data.columns.droplevel()
+        data = data.reset_index(drop=False)
+        data['date'] = pd.to_datetime(data[['year', 'month', 'day']])
+        if by_user:
+            data = data[['user', 'count']].groupby(by='user').agg(sum)
+            data = data.reset_index(drop=False).sort_values(by='count', ascending=False).reset_index(drop=True)
+            return data
+        return data[['user', 'count', 'date']]
+
+    def rename_meta_anns(self, meta_anns2rename=dict(), meta_ann_values2rename=dict()):
+        """
+        TODO: the meta_ann_values2rename has issues
+        :param meta_anns2rename: Example input: `{'Subject/Experiencer': 'Subject'}`
+        :param meta_ann_values2rename: Example input: `{'Subject':{'Relative':'Other'}}`
+        :return:
+        """
+        for proj in self.mct_export['projects']:
+            for doc in proj['documents']:
+                for anns in doc['annotations']:
+                    if len(anns['meta_anns']) > 0:
+                        for meta_name2replace in meta_anns2rename:
+                            try:
+                                anns['meta_anns'][meta_anns2rename[meta_name2replace]] = anns['meta_anns'].pop(meta_name2replace)
+                                anns['meta_anns'][meta_anns2rename[meta_name2replace]]['name'] = meta_anns2rename[meta_name2replace]
+                                for meta_ann_name, meta_values in meta_ann_values2rename.items():
+                                    if anns['meta_anns'][meta_anns2rename[meta_name2replace]]['name'] == meta_ann_name:
+                                        for value in meta_values:
+                                            if anns['meta_anns'][meta_anns2rename[meta_name2replace]]['value'] == value:
+                                                anns['meta_anns'][meta_anns2rename[meta_name2replace]]['value'] = meta_ann_values2rename[meta_ann_name][value]
+                            except KeyError:
+                                pass
+        self.annotations = self._annotations()
+        return
+
+    def _eval_model(self, model: nn.Module, data: List, config: ConfigMetaCAT, tokenizer: TokenizerWrapperBase) -> Dict:
+        device = torch.device(config.general['device'])  # Create a torch device
+        batch_size_eval = config.general['batch_size_eval']
+        pad_id = config.model['padding_idx']
+        ignore_cpos = config.model['ignore_cpos']
+        class_weights = config.train['class_weights']
+
+        if class_weights is not None:
+            class_weights = torch.FloatTensor(class_weights).to(device)
+            criterion = nn.CrossEntropyLoss(weight=class_weights)  # Set the criterion to Cross Entropy Loss
+        else:
+            criterion = nn.CrossEntropyLoss()  # Set the criterion to Cross Entropy Loss
+
+        y_eval = [x[2] for x in data]
+        num_batches = math.ceil(len(data) / batch_size_eval)
+        running_loss = []
+        all_logits = []
+        model.to(device)
+        model.eval()
+
+        with torch.no_grad():
+            for i in range(num_batches):
+                x, cpos, attention_mask, y = create_batch_piped_data(data,
+                                                     i*batch_size_eval,
+                                                     (i+1)*batch_size_eval,
+                                                     device=device,
+                                                     pad_id=pad_id)
+                logits = model(x, cpos, ignore_cpos=ignore_cpos)
+                loss = criterion(logits, y)
+
+                # Track loss and logits
+                running_loss.append(loss.item())
+                all_logits.append(logits.detach().cpu().numpy())
+
+        predictions = np.argmax(np.concatenate(all_logits, axis=0), axis=1)
+        return predictions
+
+    def _eval(self, metacat_model, mct_export):
+        # TODO: Should be moved into
+        g_config = metacat_model.config.general
+        t_config = metacat_model.config.train
+        t_config['test_size'] = 0
+        t_config['shuffle_data'] = False
+        t_config['prerequisites'] = {}
+        t_config['cui_filter'] = {}
+
+        # Prepare the data
+        assert metacat_model.tokenizer is not None
+        data = prepare_from_json(mct_export, g_config['cntx_left'], g_config['cntx_right'], metacat_model.tokenizer,
+                                 cui_filter=t_config['cui_filter'],
+                                 replace_center=g_config['replace_center'], prerequisites=t_config['prerequisites'],
+                                 lowercase=g_config['lowercase'])
+
+        # Check is the name there
+        category_name = g_config['category_name']
+        if category_name not in data:
+            warnings.warn(f"The meta_model {category_name} does not exist in this MedCATtrainer export.", UserWarning)
+            return {category_name: f"{category_name} does not exist"}
+
+        data = data[category_name]
+
+        # We already have everything, just get the data
+        category_value2id = g_config['category_value2id']
+        data, _, _ = encode_category_values(data, existing_category_value2id=category_value2id)
+        logger.info(_)
+        # Run evaluation
+        assert metacat_model.tokenizer is not None
+        result = self._eval_model(metacat_model.model, data, config=metacat_model.config, tokenizer=metacat_model.tokenizer)
+
+        return {'predictions': result, 'meta_values': _}
+
+    def full_annotation_df(self) -> pd.DataFrame:
+        """
+        DataFrame of all annotations created including meta_annotation predictions.
+        This function is similar to annotation_df with the addition of Meta_annotation predictions from the medcat model.
+        prerequisite Args: MedcatTrainer_export([mct_export_paths], model_pack_path=<path to medcat model>)
+        """
+        anns_df = self.annotation_df()
+        meta_df = anns_df[anns_df['validated'] & ~anns_df['deleted'] &
+                          ~anns_df['killed'] & ~anns_df['irrelevant']]
+        meta_df = meta_df.reset_index(drop=True)
+
+        for meta_model in self.cat._meta_cats:
+            logger.info(f'Checking metacat model: {meta_model}')
+            meta_model_task = meta_model.name
+            meta_results = self._eval(meta_model, self.mct_export)
+            meta_values = {v: k for k, v in meta_results['meta_values'].items()}
+            pred_meta_values = []
+            counter = 0
+            for meta_value in meta_df[meta_model_task]:
+                if pd.isnull(meta_value):
+                    pred_meta_values.append(np.nan)
+                else:
+                    pred_meta_values.append(meta_values.get(meta_results['predictions'][counter], np.nan))
+                    counter += 1
+            meta_df.insert(meta_df.columns.get_loc(meta_model_task) + 1, 'predict_' + meta_model_task, pred_meta_values)
+
+        return meta_df
+
+    def meta_anns_concept_summary(self) -> List[Dict]:
+        """Calculate performance metrics for meta annotations per concept.
+
+        Returns:
+            List[Dict]: List of dictionaries containing concept-level meta annotation metrics
+        """
+        meta_df = self.full_annotation_df()
+        meta_performance = {}
+
+        for cui in meta_df.cui.unique():
+            concept_df = meta_df[meta_df['cui'] == cui]
+            meta_task_results = {}
+
+            for meta_model_card in self.cat.get_model_card(as_dict=True)['MetaCAT models']:
+                meta_task = meta_model_card['Category Name']
+                meta_classes = meta_model_card['Classes'].keys()
+
+                # Calculate per-class metrics
+                class_metrics = {}
+                total_instances = 0
+
+                for meta_value in meta_classes:
+                    # Get predictions and ground truth for this class
+                    preds = concept_df['predict_' + meta_task] == meta_value
+                    truths = concept_df[meta_task] == meta_value
+
+                    # Calculate metrics
+                    tp = int((preds & truths).sum())
+                    fp = int((preds & ~truths).sum())
+                    fn = int((~preds & truths).sum())
+                    total = int(truths.sum())
+                    total_instances += total
+
+                    # Store metrics
+                    class_metrics[meta_value] = {
+                        'total': total,
+                        'f1': float(tp / (tp + 0.5 * (fp + fn)) if (tp + fp + fn) > 0 else 0),
+                        'prec': float(tp / (tp + fp) if (tp + fp) > 0 else 0),
+                        'rec': float(tp / (tp + fn) if (tp + fn) > 0 else 0)
+                    }
+
+                # Calculate macro averages (unweighted)
+                macro_metrics = {
+                    'f1': float(sum(m['f1'] for m in class_metrics.values()) / len(meta_classes)),
+                    'prec': float(sum(m['prec'] for m in class_metrics.values()) / len(meta_classes)),
+                    'rec': float(sum(m['rec'] for m in class_metrics.values()) / len(meta_classes))
+                }
+
+                # Calculate micro averages (weighted by class size)
+                if total_instances > 0:
+                    micro_metrics = {
+                        'f1': float(sum(m['f1'] * m['total'] for m in class_metrics.values()) / total_instances),
+                        'prec': float(sum(m['prec'] * m['total'] for m in class_metrics.values()) / total_instances),
+                        'rec': float(sum(m['rec'] * m['total'] for m in class_metrics.values()) / total_instances)
+                    }
+                else:
+                    micro_metrics = {'f1': 0.0, 'prec': 0.0, 'rec': 0.0}
+
+                # Store results for this meta task
+                meta_task_results[meta_task] = {
+                    'classes': class_metrics,
+                    'macro': macro_metrics,
+                    'micro': micro_metrics
+                }
+
+            # Store results for this concept
+            meta_performance[cui] = {
+                'cui': cui,
+                'concept_name': self.cat.cdb.cui2preferred_name[cui],
+                'meta_tasks': meta_task_results
+            }
+
+        return list(meta_performance.values())
+
+    def generate_report(self, meta_ann=False):
+        if meta_ann:
+            anno_df = self.full_annotation_df()
+        else:
+            anno_df = self.annotation_df()
+
+        anno_df['last_modified'] = anno_df['last_modified'].dt.strftime(_dt_fmt)
+        anno_df.fillna('-', inplace=True)
+
+        meta_anns_summary = None
+        if meta_ann:
+            meta_anns_summary = self.meta_anns_concept_summary()
+
+        # assumes all projects have the same meta_anno_defs - this would break further up if not the case.
+        meta_anno_task_summary = self.mct_export['projects'][0]['meta_anno_defs']
+
+        return {'user_stats': self.user_stats().to_dict('records'),
+                'concept_summary': self.concept_summary(),
+                'annotation_summary': anno_df.to_dict('records'),
+                'meta_anno_summary': meta_anns_summary,
+                'projects2doc_ids': self.projects2doc_ids,
+                'docs2text': self.docs2texts,
+                'projects2name': self.projects2names,
+                'docs2name': self.docs2names,
+                'meta_anns_task_summary': meta_anno_task_summary}
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0001_initial.py b/v1/medcat-trainer/webapp/api/api/migrations/0001_initial.py
new file mode 100644
index 000000000..2bf563018
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0001_initial.py
@@ -0,0 +1,198 @@
+# Generated by Django 2.2.3 on 2019-09-22 15:49
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+        ('contenttypes', '0002_remove_content_type_name'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='AnnotatedEntity',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('value', models.CharField(max_length=1000)),
+                ('start_ind', models.IntegerField()),
+                ('end_ind', models.IntegerField()),
+                ('acc', models.FloatField()),
+                ('correct', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=True)),
+                ('validated', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=False)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Concept',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('pretty_name', models.CharField(max_length=300)),
+                ('cui', models.CharField(max_length=100, unique=True)),
+                ('desc', models.TextField(blank=True, default='')),
+                ('tui', models.CharField(max_length=20)),
+                ('semantic_type', models.CharField(blank=True, max_length=200, null=True)),
+                ('vocab', models.CharField(max_length=100)),
+                ('synonyms', models.TextField(blank=True, default='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ConceptDB',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('cdb_file', models.FileField(upload_to='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Dataset',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('original_file', models.FileField(upload_to='')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('description', models.TextField(blank=True, default='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Document',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('text', models.TextField(blank=True, default='')),
+                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Entity',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('label', models.CharField(max_length=300, unique=True)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MetaTaskValue',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Project',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('description', models.TextField(blank=True, default='')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('cuis', models.TextField(blank=True, default=None)),
+                ('tuis', models.TextField(blank=True, default=None)),
+                ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+                ('members', models.ManyToManyField(to=settings.AUTH_USER_MODEL)),
+                ('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_api.project_set+', to='contenttypes.ContentType')),
+                ('validated_documents', models.ManyToManyField(to='api.Document')),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+        ),
+        migrations.CreateModel(
+            name='Vocabulary',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('vocab_file', models.FileField(upload_to='')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ProjectAnnotateEntities',
+            fields=[
+                ('project_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='api.Project')),
+                ('require_entity_validation', models.BooleanField(choices=[(0, 'False'), (1, 'True')], default=False)),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+            bases=('api.project',),
+        ),
+        migrations.CreateModel(
+            name='MetaTask',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=150)),
+                ('description', models.TextField(blank=True, default='')),
+                ('values', models.ManyToManyField(related_name='values', to='api.MetaTaskValue')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MetaAnnotation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('acc', models.FloatField()),
+                ('validated', models.BooleanField(choices=[(0, 'Not Validated'), (1, 'Validated')])),
+                ('annotated_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.AnnotatedEntity')),
+                ('meta_task', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.MetaTask')),
+                ('meta_task_value', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.MetaTaskValue')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='MedCATModel',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=100)),
+                ('cdb', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB')),
+                ('vocab', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Vocabulary')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Link',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=300)),
+                ('concept', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Concept')),
+                ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+            ],
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='document',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='annotated_entity', to='api.Document'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='entity',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Entity'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='project',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='user',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.CreateModel(
+            name='ProjectMetaAnnotate',
+            fields=[
+                ('project_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='api.Project')),
+                ('project_annotate_entities', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.ProjectAnnotateEntities')),
+                ('tasks', models.ManyToManyField(to='api.MetaTask')),
+            ],
+            options={
+                'abstract': False,
+                'base_manager_name': 'objects',
+            },
+            bases=('api.project',),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='medcat_models',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MedCATModel'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py b/v1/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py
new file mode 100644
index 000000000..2873d99c3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0002_auto_20190923_2342.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.5 on 2019-09-23 23:42
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='correct',
+            field=models.BooleanField(default=True),
+        ),
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='validated',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py b/v1/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py
new file mode 100644
index 000000000..759dfe393
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0003_auto_20190924_1934.py
@@ -0,0 +1,22 @@
+# Generated by Django 2.2.3 on 2019-09-24 19:34
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0002_auto_20190923_2342'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='correct',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='deleted',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py b/v1/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py
new file mode 100644
index 000000000..8cbff5546
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0004_auto_20190925_1450.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-09-25 14:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0003_auto_20190924_1934'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='validated_documents',
+            field=models.ManyToManyField(blank=True, default=None, to='api.Document'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py b/v1/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py
new file mode 100644
index 000000000..1778db33b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0005_annotatedentity_alternative.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-26 16:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0004_auto_20190925_1450'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='alternative',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py b/v1/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py
new file mode 100644
index 000000000..fef009161
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0006_concept_icd10.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-09-26 23:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0005_annotatedentity_alternative'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='icd10',
+            field=models.TextField(blank=True, default=''),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py b/v1/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py
new file mode 100644
index 000000000..094bf0532
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0007_concept_cdb.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.3 on 2019-09-27 22:43
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0006_concept_icd10'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py b/v1/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py
new file mode 100644
index 000000000..5675cc84a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0008_annotatedentity_manually_created.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-28 01:21
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0007_concept_cdb'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='manually_created',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py b/v1/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py
new file mode 100644
index 000000000..9dd1c40a0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0009_document_last_modified.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 00:01
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0008_annotatedentity_manually_created'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='document',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py b/v1/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py
new file mode 100644
index 000000000..2e9b45ef6
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0010_annotatedentity_last_modified.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 00:06
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0009_document_last_modified'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py b/v1/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py
new file mode 100644
index 000000000..d3bb6ebf7
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-09-29 17:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0010_annotatedentity_last_modified'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, null=True, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py b/v1/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py
new file mode 100644
index 000000000..57ec7ba0b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0012_conceptdb_use_for_training.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-01 22:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0011_projectannotateentities_cdb_search_filter'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='use_for_training',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py b/v1/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py
new file mode 100644
index 000000000..404dd5101
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0013_auto_20191001_2248.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.5 on 2019-10-01 22:48
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0012_conceptdb_use_for_training'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py b/v1/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py
new file mode 100644
index 000000000..5546d9c16
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0014_conceptdb_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-02 16:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0013_auto_20191001_2248'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py b/v1/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py
new file mode 100644
index 000000000..040745c14
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0015_auto_20191002_1615.py
@@ -0,0 +1,28 @@
+# Generated by Django 2.2.3 on 2019-10-02 16:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0014_conceptdb_name'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, to='api.MetaTask'),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='acc',
+            field=models.FloatField(default=1),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py b/v1/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py
new file mode 100644
index 000000000..74a95a861
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0016_auto_20191002_2306.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.3 on 2019-10-02 23:06
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0015_auto_20191002_1615'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='projectannotateentities',
+            name='medcat_models',
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept_source', to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py b/v1/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py
new file mode 100644
index 000000000..ed601474e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0017_delete_link.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.3 on 2019-10-02 23:28
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0016_auto_20191002_2306'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='Link',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py b/v1/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py
new file mode 100644
index 000000000..3bbe24c85
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0018_annotatedentity_killed.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.3 on 2019-10-11 16:00
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0017_delete_link'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='killed',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py b/v1/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py
new file mode 100644
index 000000000..feb6114a7
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0019_annotatedentity_correct.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.7 on 2019-11-24 01:01
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0018_annotatedentity_killed'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='correct',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py b/v1/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py
new file mode 100644
index 000000000..7a35d41c0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-08 11:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0019_annotatedentity_correct'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py b/v1/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py
new file mode 100644
index 000000000..3dc2be017
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0021_auto_20200124_1108.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-24 11:08
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0020_projectannotateentities_train_model_on_submit'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py b/v1/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py
new file mode 100644
index 000000000..3fd3f33d1
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0022_metatask_default.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-01-24 16:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0021_auto_20200124_1108'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='metatask',
+            name='default',
+            field=models.OneToOneField(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='task_default', to='api.MetaTaskValue'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py b/v1/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py
new file mode 100644
index 000000000..e9c2fd5e5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0023_concept_opcs4.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-01-28 12:23
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0022_metatask_default'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='concept',
+            name='opcs4',
+            field=models.TextField(blank=True, default=''),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py b/v1/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py
new file mode 100644
index 000000000..b6abdca30
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0024_auto_20200131_2339.py
@@ -0,0 +1,47 @@
+# Generated by Django 2.2.9 on 2020-01-31 23:39
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0023_concept_opcs4'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ICDCode',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('code', models.CharField(max_length=10, unique=True)),
+                ('desc', models.CharField(max_length=300)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='OPCSCode',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('code', models.CharField(max_length=10, unique=True)),
+                ('desc', models.CharField(max_length=300)),
+            ],
+        ),
+        migrations.RemoveField(
+            model_name='concept',
+            name='icd10',
+        ),
+        migrations.RemoveField(
+            model_name='concept',
+            name='opcs4',
+        ),
+        migrations.AddField(
+            model_name='concept',
+            name='icd10',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept', to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='concept',
+            name='opcs4',
+            field=models.ManyToManyField(blank=True, default=None, related_name='concept', to='api.OPCSCode'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py b/v1/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py
new file mode 100644
index 000000000..674fc9ed0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0025_auto_20200131_2353.py
@@ -0,0 +1,24 @@
+# Generated by Django 2.2.9 on 2020-01-31 23:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0024_auto_20200131_2339'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='icdcode',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AddField(
+            model_name='opcscode',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py b/v1/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py
new file mode 100644
index 000000000..408cee2e8
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0026_auto_20200204_1517.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.3 on 2020-02-04 15:17
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0025_auto_20200131_2353'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='metatask',
+            name='default',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MetaTaskValue'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py b/v1/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py
new file mode 100644
index 000000000..32ed9e1f8
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0027_auto_20200208_1443.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 14:43
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0026_auto_20200204_1517'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icdCode',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcsCode',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=True),
+        ),
+        migrations.DeleteModel(
+            name='ProjectMetaAnnotate',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py b/v1/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py
new file mode 100644
index 000000000..a8ee48264
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0028_auto_20200208_1559.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-02-08 15:59
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0027_auto_20200208_1443'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py b/v1/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py
new file mode 100644
index 000000000..d8169689d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0029_auto_20200208_1609.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 16:09
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0028_auto_20200208_1559'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icdCode',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcsCode',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icd_Code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcs_Code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py b/v1/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py
new file mode 100644
index 000000000..ea554d677
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0030_auto_20200208_1858.py
@@ -0,0 +1,32 @@
+# Generated by Django 2.2.9 on 2020-02-08 18:58
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0029_auto_20200208_1609'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icd_Code',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcs_Code',
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='icd_code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ICDCode'),
+        ),
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='opcs_code',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.OPCSCode'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py b/v1/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py
new file mode 100644
index 000000000..c5c5ac842
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0031_annotatedentity_create_time.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:17
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0030_auto_20200208_1858'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(2020, 2, 12, 0, 17, 34, 144415)),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py b/v1/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py
new file mode 100644
index 000000000..4af5cf10e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0032_auto_20200212_0017.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:17
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0031_annotatedentity_create_time'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(2020, 2, 12, 0, 17, 35, 796151)),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py b/v1/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py
new file mode 100644
index 000000000..50a55bcc2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0033_auto_20200212_0021.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:21
+
+import datetime
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0032_auto_20200212_0017'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(default=datetime.datetime(1970, 1, 1, 0, 0)),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py b/v1/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py
new file mode 100644
index 000000000..b46cbd1d8
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0034_auto_20200212_0022.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2020-02-12 00:22
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0033_auto_20200212_0021'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='annotatedentity',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py b/v1/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py
new file mode 100644
index 000000000..957bce7e1
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-03-15 10:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0034_auto_20200212_0022'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py b/v1/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py
new file mode 100644
index 000000000..370a97edf
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0036_auto_20200320_0105.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.11 on 2020-03-20 01:05
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0035_projectannotateentities_add_new_entities'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py b/v1/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py
new file mode 100644
index 000000000..1211b437a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0037_auto_20200320_0107.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.11 on 2020-03-20 01:07
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0036_auto_20200320_0105'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py b/v1/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py
new file mode 100644
index 000000000..93e6ae808
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0038_auto_20200407_1418.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-04-07 14:18
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0037_auto_20200320_0107'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(max_length=100),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py b/v1/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py
new file mode 100644
index 000000000..db7839ce3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0039_project_cuis_file.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.11 on 2020-04-11 19:47
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0038_auto_20200407_1418'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, null=True, upload_to=''),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py b/v1/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py
new file mode 100644
index 000000000..505fff17f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-04-16 19:47
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0039_project_cuis_file'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py b/v1/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py
new file mode 100644
index 000000000..d9060bbbf
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0041_auto_20200519_1544.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-05-19 15:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0040_projectannotateentities_restrict_concept_lookup'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["S-1234","S-54321"]', null=True, upload_to=''),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py b/v1/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py
new file mode 100644
index 000000000..5506863b9
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0042_auto_20200520_0945.py
@@ -0,0 +1,38 @@
+# Generated by Django 2.2.12 on 2020-05-20 09:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0041_auto_20200519_1544'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False, help_text='allow the creation of new terms to be added to the CDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False, help_text='customised UI for the clinical coding (ICD-10/OPCS-4 use case'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='require_entity_validation',
+            field=models.BooleanField(default=True, help_text='Entities appear grey and are required to be validated before submission'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='users can only select terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True, help_text='active learning - configured CDB is trainedon each submit'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py b/v1/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py
new file mode 100644
index 000000000..d23037510
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0043_auto_20200520_1018.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-05-20 10:18
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0042_auto_20200520_0945'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+            field=models.BooleanField(default=False, help_text='customised UI for the clinical coding (ICD-10/OPCS-4) use case'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py b/v1/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py
new file mode 100644
index 000000000..54ce5c531
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-06-03 08:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0043_auto_20200520_1018'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=False, help_text='enable the option to terminate concepts.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py b/v1/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py
new file mode 100644
index 000000000..3c6683c53
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0045_auto_20200603_0934.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.12 on 2020-06-03 09:34
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0044_projectannotateentities_terminate_available'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=True, help_text='enable the option to terminate concepts.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py b/v1/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py
new file mode 100644
index 000000000..9878cfab7
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0046_auto_20200802_1006.py
@@ -0,0 +1,33 @@
+# Generated by Django 2.2.12 on 2020-08-02 10:06
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0045_auto_20200603_0934'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='add_new_entities',
+            field=models.BooleanField(default=False, help_text='Allow the creation of new terms to be added to the CDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only select terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='terminate_available',
+            field=models.BooleanField(default=True, help_text='Enable the option to terminate concepts.'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='train_model_on_submit',
+            field=models.BooleanField(default=True, help_text='Active learning - configured CDB is trained on each submit'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py b/v1/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py
new file mode 100644
index 000000000..66ae7eed8
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0047_auto_20210112_0355.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-01-12 03:55
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0046_auto_20200802_1006'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100),
+        ),
+        migrations.AlterField(
+            model_name='concept',
+            name='pretty_name',
+            field=models.CharField(db_index=True, max_length=300),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py b/v1/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py
new file mode 100644
index 000000000..4ac94a320
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0048_projectcuicounter.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-01-13 03:54
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0047_auto_20210112_0355'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ProjectCuiCounter',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('count', models.IntegerField()),
+                ('entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Entity')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project')),
+            ],
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py b/v1/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py
new file mode 100644
index 000000000..01eddc7a3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0049_auto_20210202_1539.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.0 on 2021-02-02 15:39
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0048_projectcuicounter'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='irrelevant',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='irrelevant_available',
+            field=models.BooleanField(default=False, help_text='Enable the option to add the irrelevant button.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py b/v1/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py
new file mode 100644
index 000000000..cdced0379
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0050_remove_project_tuis.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.0 on 2021-02-02 18:31
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0049_auto_20210202_1539'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='project',
+            name='tuis',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py b/v1/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py
new file mode 100644
index 000000000..052caa4b2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0051_auto_20210211_1812.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.18 on 2021-02-11 18:12
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0050_remove_project_tuis'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cdb',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py b/v1/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py
new file mode 100644
index 000000000..b6d4ed12f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0052_auto_20210216_1130.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.18 on 2021-02-16 11:30
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0051_auto_20210211_1812'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='cuis_file',
+            field=models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["1234567","7654321"]', null=True, upload_to=''),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py b/v1/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py
new file mode 100644
index 000000000..be0650972
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.2.18 on 2021-02-16 11:58
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0052_auto_20210216_1130'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='projectannotateentities',
+            name='clinical_coding_project',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py b/v1/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py
new file mode 100644
index 000000000..a68e7caad
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0054_remove_concept_vocab.py
@@ -0,0 +1,17 @@
+# Generated by Django 2.2.18 on 2021-03-12 10:48
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0053_remove_projectannotateentities_clinical_coding_project'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='concept',
+            name='vocab',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py b/v1/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py
new file mode 100644
index 000000000..b6358161e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0055_auto_20210417_0902.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2021-04-17 09:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0054_remove_concept_vocab'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100, unique=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py b/v1/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py
new file mode 100644
index 000000000..d21ee9783
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0056_auto_20210417_0926.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.9 on 2021-04-17 09:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0055_auto_20210417_0902'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py b/v1/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py
new file mode 100644
index 000000000..2238e8b9f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0057_auto_20210705_0954.py
@@ -0,0 +1,43 @@
+# Generated by Django 2.2.24 on 2021-07-05 09:54
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+        ('api', '0056_auto_20210417_0926'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Relation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('label', models.CharField(max_length=300, unique=True)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='EntityRelation',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('validated', models.BooleanField(default=False)),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('last_modified', models.DateTimeField(auto_now=True)),
+                ('document', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='entity_relation_document', to='api.Document')),
+                ('end_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='end_entity', to='api.AnnotatedEntity')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Project')),
+                ('relation', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='api.Relation')),
+                ('start_entity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='start_entity', to='api.AnnotatedEntity')),
+                ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+            ],
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='relations',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Relations that will be available for this project', to='api.Relation'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py b/v1/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py
new file mode 100644
index 000000000..8ce9a22ad
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0058_auto_20210921_0022.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.2.9 on 2021-09-21 00:22
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0057_auto_20210705_0954'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='annotatedentity',
+            name='comment',
+            field=models.TextField(blank=True, null=True),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='enable_entity_annotation_comments',
+            field=models.BooleanField(default=False, help_text='Enable to allow annotators to leave comments for each annotation'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py b/v1/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py
new file mode 100644
index 000000000..b0d89b3b2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0059_auto_20211008_2038.py
@@ -0,0 +1,29 @@
+# Generated by Django 2.2.9 on 2021-10-08 20:38
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0058_auto_20210921_0022'),
+    ]
+
+    operations = [
+        migrations.AlterModelOptions(
+            name='annotatedentity',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='document',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='entityrelation',
+            options={'ordering': ['id']},
+        ),
+        migrations.AlterModelOptions(
+            name='relation',
+            options={'ordering': ['id']},
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py b/v1/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py
new file mode 100644
index 000000000..30cc601bb
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0060_auto_20211022_0940.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2021-10-22 09:40
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0059_auto_20211008_2038'),
+    ]
+
+    operations = [
+        migrations.RenameField(
+            model_name='concept',
+            old_name='tui',
+            new_name='type_ids',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py b/v1/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py
new file mode 100644
index 000000000..914869fdf
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0061_project_annotation_guideline_link.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2021-11-02 17:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0060_auto_20211022_0940'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='annotation_guideline_link',
+            field=models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlininng a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py b/v1/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py
new file mode 100644
index 000000000..17f886be0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0062_auto_20220426_1558.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.24 on 2022-04-26 15:58
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0061_project_annotation_guideline_link'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='concept',
+            name='cui',
+            field=models.CharField(db_index=True, max_length=100),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py b/v1/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py
new file mode 100644
index 000000000..d93c7a6e5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0063_auto_20220606_1107.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.24 on 2022-06-06 11:07
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0062_auto_20220426_1558'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, validators=[django.core.validators.RegexValidator('^[0-9a-zA-Z_-]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py b/v1/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py
new file mode 100644
index 000000000..551488f2f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0064_auto_20220606_1253.py
@@ -0,0 +1,19 @@
+# Generated by Django 2.2.24 on 2022-06-06 12:53
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0063_auto_20220606_1107'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py b/v1/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py
new file mode 100644
index 000000000..e9ae95293
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0065_auto_20221129_1102.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2022-11-29 11:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0064_auto_20220606_1253'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='concept_source', to='api.ConceptDB'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py b/v1/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py
new file mode 100644
index 000000000..3271394e9
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0066_exportedproject.py
@@ -0,0 +1,20 @@
+# Generated by Django 2.2.28 on 2023-01-05 18:04
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0065_auto_20221129_1102'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ExportedProject',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('trainer_export_file', models.FileField(help_text='Previously exported MedCATtrainer .json file', upload_to='')),
+            ],
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py b/v1/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py
new file mode 100644
index 000000000..a188ee598
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0067_delete_concept.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.28 on 2023-01-24 12:03
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0066_exportedproject'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='Concept',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py b/v1/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py
new file mode 100644
index 000000000..1aff45c30
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0068_auto_20230203_1715.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-02-03 17:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0067_delete_concept'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='restrict_concept_lookup',
+            field=models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists. Checking this when bothcuis and cuis_file are empty does nothing. If "add new entities" is available & added, and cuis or cuis_fileis non-empty the new CUI will be added.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py b/v1/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py
new file mode 100644
index 000000000..a7ba10e91
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0069_auto_20230711_0938.py
@@ -0,0 +1,28 @@
+# Generated by Django 2.2.28 on 2023-07-11 09:38
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0068_auto_20230203_1715'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these project annotations are suitablefor training a general purpose model. Ifin doubt mark this as False.'),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='project_status',
+            field=models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the project to indicate the readiness', max_length=1),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='projected_locked',
+            field=models.BooleanField(default=False, help_text='If this project is locked and cannot or should not be touched any further.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py b/v1/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py
new file mode 100644
index 000000000..7cc9ff687
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0070_auto_20230711_0951.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-07-11 09:51
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0069_auto_20230711_0938'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these project annotations are suitable for training a general purpose model. If in doubt uncheck this.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py b/v1/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py
new file mode 100644
index 000000000..f97174d13
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0071_auto_20230711_1654.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2023-07-11 16:54
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0070_auto_20230711_0951'),
+    ]
+
+    operations = [
+        migrations.RenameField(
+            model_name='project',
+            old_name='projected_locked',
+            new_name='project_locked',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py b/v1/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py
new file mode 100644
index 000000000..39395793d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0072_delete_projectcuicounter.py
@@ -0,0 +1,16 @@
+# Generated by Django 2.2.28 on 2023-09-21 12:09
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0071_auto_20230711_1654'),
+    ]
+
+    operations = [
+        migrations.DeleteModel(
+            name='ProjectCuiCounter',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py b/v1/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py
new file mode 100644
index 000000000..52720ade0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0073_auto_20231022_0028.py
@@ -0,0 +1,26 @@
+# Generated by Django 2.2.28 on 2023-10-22 00:28
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0072_delete_projectcuicounter'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ProjectMetrics',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('report_name_generated', models.TextField(help_text='report name that links this metrics report to a previously ran bg task')),
+                ('report_name', models.TextField(help_text='A user specified report name that should be more user friendly than the generated one')),
+                ('report', models.FileField(help_text='the outputted metrics for configured', upload_to='')),
+                ('projects', models.ManyToManyField(blank=True, null=True, to='api.ProjectAnnotateEntities')),
+            ],
+        ),
+        migrations.DeleteModel(
+            name='MedCATModel',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py b/v1/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py
new file mode 100644
index 000000000..1d34052fc
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0074_auto_20240215_1024.py
@@ -0,0 +1,36 @@
+# Generated by Django 2.2.28 on 2024-02-15 10:24
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0073_auto_20231022_0028'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='opcscode',
+            name='cdb',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='icd_code',
+        ),
+        migrations.RemoveField(
+            model_name='annotatedentity',
+            name='opcs_code',
+        ),
+        migrations.AlterField(
+            model_name='projectmetrics',
+            name='projects',
+            field=models.ManyToManyField(blank=True, to='api.ProjectAnnotateEntities'),
+        ),
+        migrations.DeleteModel(
+            name='ICDCode',
+        ),
+        migrations.DeleteModel(
+            name='OPCSCode',
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py b/v1/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py
new file mode 100644
index 000000000..14250e284
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0075_auto_20240429_1350.py
@@ -0,0 +1,23 @@
+# Generated by Django 2.2.28 on 2024-04-29 13:50
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0074_auto_20240215_1024'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='metaannotation',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py b/v1/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py
new file mode 100644
index 000000000..571d974ef
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0076_auto_20240510_1451.py
@@ -0,0 +1,115 @@
+# Generated by Django 2.2.28 on 2024-05-10 14:51
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+        ('api', '0075_auto_20240429_1350'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_classification',
+            field=models.BooleanField(default=False, help_text='If these annotations are suitable for training a general purpose model. If in doubt uncheck this.'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='annotation_guideline_link',
+            field=models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlining a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='cuis',
+            field=models.TextField(blank=True, default=None, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='dataset',
+            field=models.ForeignKey(help_text='The dataset to be annotated.', on_delete=django.db.models.deletion.CASCADE, to='api.Dataset'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='description',
+            field=models.TextField(blank=True, default='', help_text='A short description of the annotations to be collected and why'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='members',
+            field=models.ManyToManyField(help_text='The list users that have access to this annotation project', to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='project_locked',
+            field=models.BooleanField(default=False, help_text='Locked indicates annotation collection is complete and this dataset should not be touched any further.'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='project_status',
+            field=models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the annotation collection exercise', max_length=1),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project', to='api.MetaTask'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary'),
+        ),
+        migrations.CreateModel(
+            name='ProjectGroup',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(help_text='A name of the annotation project', max_length=150)),
+                ('description', models.TextField(blank=True, default='', help_text='A short description of the annotations to be collected and why')),
+                ('annotation_guideline_link', models.TextField(blank=True, default='', help_text='link to an external document (i.e. GoogleDoc, MS Sharepoint)outlining a guide for annotators to follow for this project,an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing')),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+                ('last_modified', models.DateTimeField(auto_now=True)),
+                ('cuis', models.TextField(blank=True, default=None, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated')),
+                ('cuis_file', models.FileField(blank=True, help_text='A file containing a JSON formatted list of CUI code strings, i.e. ["1234567","7654321"]', null=True, upload_to='')),
+                ('annotation_classification', models.BooleanField(default=False, help_text='If these annotations are suitable for training a general purpose model. If in doubt uncheck this.')),
+                ('project_locked', models.BooleanField(default=False, help_text='Locked indicates annotation collection is complete and this dataset should not be touched any further.')),
+                ('project_status', models.CharField(choices=[('A', 'Annotating'), ('D', 'Discontinued (Fail)'), ('C', 'Complete')], default='A', help_text='The status of the annotation collection exercise', max_length=1)),
+                ('require_entity_validation', models.BooleanField(default=True, help_text='Entities appear grey and are required to be validated before submission')),
+                ('train_model_on_submit', models.BooleanField(default=True, help_text='Active learning - configured CDB is trained on each submit')),
+                ('add_new_entities', models.BooleanField(default=False, help_text='Allow the creation of new terms to be added to the CDB')),
+                ('restrict_concept_lookup', models.BooleanField(default=False, help_text='Users can only search for concept terms from the list configured for the project, i.e. either from the cuis or cuis_file lists. Checking this when bothcuis and cuis_file are empty does nothing. If "add new entities" is available & added, and cuis or cuis_fileis non-empty the new CUI will be added.')),
+                ('terminate_available', models.BooleanField(default=True, help_text='Enable the option to terminate concepts.')),
+                ('irrelevant_available', models.BooleanField(default=False, help_text='Enable the option to add the irrelevant button.')),
+                ('enable_entity_annotation_comments', models.BooleanField(default=False, help_text='Enable to allow annotators to leave comments for each annotation')),
+                ('administrators', models.ManyToManyField(help_text='The set of users that will have visibility of all projects in this project group', related_name='administrators', to=settings.AUTH_USER_MODEL)),
+                ('annotators', models.ManyToManyField(help_text='The set of users that will each be provided an annotation project', related_name='annotators', to=settings.AUTH_USER_MODEL)),
+                ('cdb_search_filter', models.ManyToManyField(blank=True, default=None, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='project_group_concept_source', to='api.ConceptDB')),
+                ('concept_db', models.ForeignKey(help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ConceptDB')),
+                ('dataset', models.ForeignKey(help_text='The dataset to be annotated.', on_delete=django.db.models.deletion.CASCADE, to='api.Dataset')),
+                ('relations', models.ManyToManyField(blank=True, default=None, help_text='Relations that will be available for this project', to='api.Relation')),
+                ('tasks', models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project', to='api.MetaTask')),
+                ('vocab', models.ForeignKey(help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.Vocabulary')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='group',
+            field=models.ForeignKey(blank=True, help_text='The annotation project group that this project is part of', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.ProjectGroup'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py b/v1/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py
new file mode 100644
index 000000000..0905d55b0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0077_projectgroup_create_associated_projects.py
@@ -0,0 +1,18 @@
+# Generated by Django 2.2.28 on 2024-05-14 12:52
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0076_auto_20240510_1451'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectgroup',
+            name='create_associated_projects',
+            field=models.BooleanField(default=True, help_text='This only functions on new Project Group entries.  If creating a new Project Group and this is checked, it will create a ProjectAnnotateEntities for each annotator. If unchecked it will not create associated ProjectAnnotateEntities instead, leaving the admin to  manually configure groups of projects.'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py b/v1/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py
new file mode 100644
index 000000000..179467f2b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0078_alter_project_polymorphic_ctype.py
@@ -0,0 +1,20 @@
+# Generated by Django 5.0.6 on 2024-06-07 11:18
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0077_projectgroup_create_associated_projects'),
+        ('contenttypes', '0002_remove_content_type_name'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='project',
+            name='polymorphic_ctype',
+            field=models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_%(app_label)s.%(class)s_set+', to='contenttypes.contenttype'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py b/v1/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py
new file mode 100644
index 000000000..5f52fbf0a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0078_metacatmodel_modelpack.py
@@ -0,0 +1,34 @@
+# Generated by Django 2.2.28 on 2024-06-05 23:39
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0077_projectgroup_create_associated_projects'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='MetaCATModel',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=100)),
+                ('meta_cat_dir', models.FilePathField(allow_folders=True, help_text='The zip or dir for a MetaCAT model')),
+                ('meta_task', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.MetaTask')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='ModelPack',
+            fields=[
+                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.TextField()),
+                ('model_pack', models.FileField(help_text='Model pack zip', upload_to='')),
+                ('concept_db', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.ConceptDB')),
+                ('meta_cats', models.ManyToManyField(blank=True, default=None, to='api.MetaCATModel')),
+                ('vocab', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='api.Vocabulary')),
+            ],
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py b/v1/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py
new file mode 100644
index 000000000..0d011c638
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0079_merge_20240701_2259.py
@@ -0,0 +1,14 @@
+# Generated by Django 2.2.28 on 2024-07-01 22:59
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0078_metacatmodel_modelpack'),
+        ('api', '0078_alter_project_polymorphic_ctype'),
+    ]
+
+    operations = [
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py
new file mode 100644
index 000000000..a92a99dbe
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0080_alter_metatask_options_alter_metataskvalue_options_and_more.py
@@ -0,0 +1,31 @@
+# Generated by Django 5.0.6 on 2024-07-10 16:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0079_merge_20240701_2259'),
+    ]
+
+    operations = [
+        migrations.AlterModelOptions(
+            name='metatask',
+            options={'ordering': ['ordering', 'name']},
+        ),
+        migrations.AlterModelOptions(
+            name='metataskvalue',
+            options={'ordering': ['ordering', 'name']},
+        ),
+        migrations.AddField(
+            model_name='metatask',
+            name='ordering',
+            field=models.PositiveSmallIntegerField(default=0, help_text='the order in which the meta task will appear in the Trainer Annotation project screen'),
+        ),
+        migrations.AddField(
+            model_name='metataskvalue',
+            name='ordering',
+            field=models.PositiveSmallIntegerField(default=0, help_text='the order in which the meta task value will appear in the Trainer Annotation project screen'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py b/v1/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py
new file mode 100644
index 000000000..49798fe64
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0081_alter_metatask_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.0.6 on 2024-07-10 16:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0080_alter_metatask_options_alter_metataskvalue_options_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='metatask',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py
new file mode 100644
index 000000000..df09c1936
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0082_remove_metacatmodel_meta_task_and_more.py
@@ -0,0 +1,98 @@
+# Generated by Django 5.0.6 on 2024-08-28 10:56
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0081_alter_metatask_name'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='metacatmodel',
+            name='meta_task',
+        ),
+        migrations.AddField(
+            model_name='metaannotation',
+            name='predicted_meta_task_value',
+            field=models.ForeignKey(blank=True, help_text='meta annotation predicted by a MetaAnnotationModel', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='predicted_value', to='api.metataskvalue'),
+        ),
+        migrations.AddField(
+            model_name='metatask',
+            name='prediction_model',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.metacatmodel'),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='meta_cat_predictions',
+            field=models.BooleanField(default=False, help_text='If MetaTasks are setup on the project and there are associated MetaCATModel instances, display these predictions in the interface to be validated / corrected'),
+        ),
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='model_pack',
+            field=models.ForeignKey(blank=True, default=None, help_text='A MedCAT model pack. This will raise an exception if both the CDB and Vocab and ModelPack fields are set', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.modelpack'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='meta_cat_predictions',
+            field=models.BooleanField(default=False, help_text='If MetaTasks are setup on the project and there are associated MetaCATModel instances, display these predictions in the interface to be validated / corrected'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='model_pack',
+            field=models.ForeignKey(blank=True, default=None, help_text='A MedCAT model pack. This will raise an exception if both the CDB and Vocab and ModelPack fields are set', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.modelpack'),
+        ),
+        migrations.AlterField(
+            model_name='metaannotation',
+            name='validated',
+            field=models.BooleanField(default=False, help_text='If an annotation is not '),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='meta_cat_dir',
+            field=models.FilePathField(allow_folders=True, editable=False, help_text='The zip or dir for a MetaCAT model, not editable, is set via a model pack .zip upload'),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='name',
+            field=models.CharField(help_text='The task name followed by the underlying model impl', max_length=100),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project, this will default to the set of Tasks configured in a ModelPack if a model pack is used for the project', to='api.metatask'),
+        ),
+        migrations.AlterField(
+            model_name='projectannotateentities',
+            name='vocab',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.vocabulary'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='cdb_search_filter',
+            field=models.ManyToManyField(blank=True, help_text='The CDB that will be used for concept lookup. This specific CDB should have been "imported" via the CDB admin screen', related_name='project_group_concept_source', to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='concept_db',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT CDB used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.conceptdb'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='tasks',
+            field=models.ManyToManyField(blank=True, default=None, help_text='The set of MetaAnnotation tasks configured for this project, this will default to the set of Tasks configured in a ModelPack if a model pack is used for the project', to='api.metatask'),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='vocab',
+            field=models.ForeignKey(blank=True, help_text='The MedCAT Vocab used to annotate / validate', null=True, on_delete=django.db.models.deletion.SET_NULL, to='api.vocabulary'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py
new file mode 100644
index 000000000..289715e0e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0083_project_prepared_documents_and_more.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.0.6 on 2024-08-29 11:25
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0082_remove_metacatmodel_meta_task_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='prepared_documents',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Set automatically on each prep of a document', related_name='prepared_documents', to='api.document'),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='validated_documents',
+            field=models.ManyToManyField(blank=True, default=None, help_text='Set automatically on each doc submission', to='api.document'),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py
new file mode 100644
index 000000000..1440d016b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0084_conceptdb_create_time_conceptdb_last_modified_and_more.py
@@ -0,0 +1,33 @@
+# Generated by Django 5.0.6 on 2024-09-20 15:21
+
+import datetime
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0083_project_prepared_documents_and_more'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='conceptdb',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=datetime.datetime(2023, 1, 1, 0, 0)),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='conceptdb',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='conceptdb',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py
new file mode 100644
index 000000000..fc3cdb953
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0085_alter_conceptdb_name_alter_dataset_name_and_more.py
@@ -0,0 +1,49 @@
+# Generated by Django 5.1.4 on 2025-01-29 23:30
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0084_conceptdb_create_time_conceptdb_last_modified_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[0-9a-zA-Z_-]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+        migrations.AlterField(
+            model_name='dataset',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='metacatmodel',
+            name='name',
+            field=models.CharField(help_text='The task name followed by the underlying model impl', max_length=100, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='metataskvalue',
+            name='name',
+            field=models.CharField(max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='modelpack',
+            name='name',
+            field=models.TextField(unique=True),
+        ),
+        migrations.AlterField(
+            model_name='project',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150, unique=True),
+        ),
+        migrations.AlterField(
+            model_name='projectgroup',
+            name='name',
+            field=models.CharField(help_text='A name of the annotation project', max_length=150, unique=True),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py b/v1/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py
new file mode 100644
index 000000000..277c9b70e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0086_vocabulary_name.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.1.4 on 2025-01-30 00:36
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0085_alter_conceptdb_name_alter_dataset_name_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='vocabulary',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py
new file mode 100644
index 000000000..465fda7e0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0087_modelpack_create_time_modelpack_last_modified_and_more.py
@@ -0,0 +1,55 @@
+# Generated by Django 5.1.4 on 2025-01-30 11:07
+
+import django.core.validators
+import django.db.models.deletion
+import django.utils.timezone
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0086_vocabulary_name'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='modelpack',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='modelpack',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='modelpack',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
+            preserve_default=False,
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='last_modified',
+            field=models.DateTimeField(auto_now=True),
+        ),
+        migrations.AddField(
+            model_name='vocabulary',
+            name='last_modified_by',
+            field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
+        ),
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[a-zA-Z][a-zA-Z0-9_]*$', 'Only alpahanumeric characters, -, _ are allowed for CDB names')]),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py b/v1/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py
new file mode 100644
index 000000000..f7b9d6cdb
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0088_alter_conceptdb_name.py
@@ -0,0 +1,19 @@
+# Generated by Django 5.1.4 on 2025-01-30 11:09
+
+import django.core.validators
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0087_modelpack_create_time_modelpack_last_modified_and_more'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='conceptdb',
+            name='name',
+            field=models.CharField(blank=True, default='', max_length=100, unique=True, validators=[django.core.validators.RegexValidator('^[a-zA-Z][a-zA-Z0-9_]*$', 'a-z for first character required. Alpahanumeric and _ thereafter are allowed for CDB names')]),
+        ),
+    ]
diff --git a/v1/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py b/v1/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py
new file mode 100644
index 000000000..f53166708
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/migrations/0089_projectannotateentities_deid_model_annotation_and_more.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.1.4 on 2025-02-06 15:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('api', '0088_alter_conceptdb_name'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='projectannotateentities',
+            name='deid_model_annotation',
+            field=models.BooleanField(default=False, help_text='To indicate that this project is to collect De-ID Model annotations'),
+        ),
+        migrations.AddField(
+            model_name='projectgroup',
+            name='deid_model_annotation',
+            field=models.BooleanField(default=False, help_text='To indicate that this project is to collect De-ID Model annotations'),
+        ),
+    ]
diff --git a/medcat-v1/medcat/utils/relation_extraction/modernbert/__init__.py b/v1/medcat-trainer/webapp/api/api/migrations/__init__.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/modernbert/__init__.py
rename to v1/medcat-trainer/webapp/api/api/migrations/__init__.py
diff --git a/v1/medcat-trainer/webapp/api/api/model_cache.py b/v1/medcat-trainer/webapp/api/api/model_cache.py
new file mode 100644
index 000000000..b79a4ce0e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/model_cache.py
@@ -0,0 +1,157 @@
+import logging
+import os
+from typing import Dict
+
+import pkg_resources
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.vocab import Vocab
+
+from api.models import ConceptDB
+
+"""
+Module level caches for CDBs, Vocabs and CAT instances.
+"""
+# Maps between IDs and objects
+CDB_MAP = {}
+VOCAB_MAP = {}
+CAT_MAP = {}
+
+logger = logging.getLogger(__name__)
+
+try:
+    _MAX_MODELS_LOADED = int(os.getenv("MAX_MEDCAT_MODELS", 1))
+except ValueError:
+    _MAX_MODELS_LOADED = 1
+    logger.warning("MAX_MEDCAT_MODELS is not an integer, using default value of 1")
+
+
+def _clear_models(cdb_map: Dict[str, CDB]=CDB_MAP,
+                  vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+                  cat_map: Dict[str, CAT]=CAT_MAP):
+    if len(cat_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(cat_map)), cat_map.pop(k))
+    if len(cdb_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(cdb_map)), cdb_map.pop(k))
+    if len(vocab_map) > _MAX_MODELS_LOADED:
+        (k := next(iter(vocab_map)), vocab_map.pop(k))
+
+
+def get_medcat_from_cdb_vocab(project,
+                              cdb_map: Dict[str, CDB]=CDB_MAP,
+                              vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+                              cat_map: Dict[str, CAT]=CAT_MAP) -> CAT:
+    cdb_id = project.concept_db.id
+    vocab_id = project.vocab.id
+    cat_id = str(cdb_id) + "-" + str(vocab_id)
+    if cat_id in cat_map:
+        cat = cat_map[cat_id]
+    else:
+        if cdb_id in cdb_map:
+            cdb = cdb_map[cdb_id]
+        else:
+            cdb_path = project.concept_db.cdb_file.path
+            try:
+                cdb = CDB.load(cdb_path)
+            except KeyError as ke:
+                mc_v = pkg_resources.get_distribution('medcat').version
+                if int(mc_v.split('.')[0]) > 0:
+                    logger.error('Attempted to load MedCAT v0.x model with MCTrainer v1.x')
+                    raise Exception('Attempted to load MedCAT v0.x model with MCTrainer v1.x',
+                                    'Please re-configure this project to use a MedCAT v1.x CDB or consult the '
+                                    'MedCATTrainer Dev team if you believe this should work') from ke
+                raise
+
+            custom_config = os.getenv("MEDCAT_CONFIG_FILE")
+            if custom_config is not None and os.path.exists(custom_config):
+                cdb.config.parse_config_file(path=custom_config)
+            else:
+                logger.info("No MEDCAT_CONFIG_FILE env var set to valid path, using default config available on CDB")
+            cdb_map[cdb_id] = cdb
+
+        if vocab_id in vocab_map:
+            vocab = vocab_map[vocab_id]
+        else:
+            vocab_path = project.vocab.vocab_file.path
+            vocab = Vocab.load(vocab_path)
+            vocab_map[vocab_id] = vocab
+        cat = CAT(cdb=cdb, config=cdb.config, vocab=vocab)
+        cat_map[cat_id] = cat
+        _clear_models(cat_map=cat_map, cdb_map=cdb_map, vocab_map=vocab_map)
+    return cat
+
+
+def get_medcat_from_model_pack(project, cat_map: Dict[str, CAT]=CAT_MAP) -> CAT:
+    model_pack_obj = project.model_pack
+    cat_id = 'mp' + str(model_pack_obj.id)
+    logger.info('Loading model pack from:%s', model_pack_obj.model_pack.path)
+    cat = CAT.load_model_pack(model_pack_obj.model_pack.path)
+    cat_map[cat_id] = cat
+    _clear_models(cat_map=cat_map)
+    return cat
+
+
+def get_medcat(project,
+               cdb_map: Dict[str, CDB]=CDB_MAP,
+               vocab_map: Dict[str, Vocab]=VOCAB_MAP,
+               cat_map: Dict[str, CAT]=CAT_MAP):
+    try:
+        if project.model_pack is None:
+            cat = get_medcat_from_cdb_vocab(project, cdb_map, vocab_map, cat_map)
+        else:
+            cat = get_medcat_from_model_pack(project, cat_map)
+        return cat
+    except AttributeError:
+        raise Exception('Failure loading Project ConceptDB, Vocab or Model Pack. Are these set correctly?')
+
+
+def get_cached_medcat(project, cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.model_pack is not None:
+        cat_id = 'mp' + str(project.model_pack.id)
+    else:
+        cdb_id = project.concept_db.id
+        vocab_id = project.vocab.id
+        cat_id = str(cdb_id) + "-" + str(vocab_id)
+    return cat_map.get(cat_id)
+
+
+def clear_cached_medcat(project, cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.model_pack is not None:
+        model_pack_obj = project.model_pack
+        cat_id = 'mp' + str(model_pack_obj.id)
+    else:
+        cdb_id = project.concept_db.id
+        vocab_id = project.vocab.id
+        clear_cached_cdb(cdb_id)
+        clear_cached_vocab(vocab_id)
+        cat_id = str(cdb_id) + "-" + str(vocab_id)
+    if cat_id in cat_map:
+        del cat_map[cat_id]
+
+
+def get_cached_cdb(cdb_id: str, cdb_map: Dict[str, CDB]=CDB_MAP) -> CDB:
+    if cdb_id not in cdb_map:
+        cdb_obj = ConceptDB.objects.get(id=cdb_id)
+        cdb = CDB.load(cdb_obj.cdb_file.path)
+        cdb_map[cdb_id] = cdb
+    return cdb_map[cdb_id]
+
+
+def clear_cached_cdb(cdb_id, cdb_map: Dict[str, CDB]=CDB_MAP):
+    if cdb_id in cdb_map:
+        del cdb_map[cdb_id]
+
+
+def clear_cached_vocab(vocab_id, vocab_map: Dict[str, Vocab]=VOCAB_MAP):
+    if vocab_id in vocab_map:
+        del vocab_map[vocab_id]
+
+
+def is_model_loaded(project,
+                    cdb_map: Dict[str, CDB]=CDB_MAP,
+                    cat_map: Dict[str, CAT]=CAT_MAP):
+    if project.concept_db is None:
+        # model pack is used.
+        return False if not project.model_pack else f'mp{project.model_pack.id}' in cat_map
+    else:
+        return False if not project.concept_db else project.concept_db.id in cdb_map
diff --git a/v1/medcat-trainer/webapp/api/api/models.py b/v1/medcat-trainer/webapp/api/api/models.py
new file mode 100644
index 000000000..f29bc8b76
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/models.py
@@ -0,0 +1,556 @@
+import logging
+import os
+import shutil
+from zipfile import BadZipFile
+
+import pandas as pd
+from django.conf import settings
+from django.core.exceptions import ValidationError
+from django.core.validators import RegexValidator
+from django.db import models, transaction
+from django.dispatch import receiver
+from django.forms import forms, ModelForm
+from medcat.cat import CAT
+from medcat.cdb import CDB
+from medcat.vocab import Vocab
+from medcat.meta_cat import MetaCAT
+from polymorphic.models import PolymorphicModel
+
+from core.settings import MEDIA_ROOT
+
+STATUS_CHOICES = [
+        (0, 'Not Validated'),
+        (1, 'Validated'),
+        ]
+
+BOOL_CHOICES = [
+        (0, 'False'),
+        (1, 'True')
+        ]
+
+
+cdb_name_validator = RegexValidator(r'^[a-zA-Z][a-zA-Z0-9_]*$', 'a-z for first character required. Alpahanumeric and _ thereafter are allowed for CDB names')
+
+logger = logging.getLogger(__name__)
+
+
+class ModelPack(models.Model):
+    name = models.TextField(help_text='', unique=True)
+    model_pack = models.FileField(help_text='Model pack zip')
+    concept_db = models.ForeignKey('ConceptDB', on_delete=models.CASCADE, blank=True, null=True)
+    vocab = models.ForeignKey('Vocabulary', on_delete=models.CASCADE, blank=True, null=True)
+    meta_cats = models.ManyToManyField('MetaCATModel', blank=True, default=None)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)   
+
+    @transaction.atomic
+    def save(self, *args, **kwargs):
+        is_new = self._state.adding
+        if is_new:
+            super().save(*args, **kwargs)
+        
+        # Process the model pack
+        logger.info('Loading model pack: %s', self.model_pack)
+        model_pack_name = str(self.model_pack).replace(".zip", "")
+        try:
+            CAT.attempt_unpack(self.model_pack.path)
+        except BadZipFile as exc:
+            # potential for CRC-32 errors in Trainer process - ignore and still use
+            logger.warning(f'Possibly corrupt cdb.dat decompressing {self.model_pack}\nFull Exception: {exc}')
+        unpacked_model_pack_path = self.model_pack.path.replace('.zip', '')
+        # attempt to load cdb
+        try:
+            CAT.load_cdb(unpacked_model_pack_path)
+            concept_db = ConceptDB()
+            unpacked_file_name = self.model_pack.file.name.replace('.zip', '')
+            concept_db.cdb_file.name = os.path.join(unpacked_file_name, 'cdb.dat')
+            concept_db.name = f'{self.name}_CDB'
+            concept_db.save(skip_load=True)
+            self.concept_db = concept_db
+        except Exception as exc:
+            raise FileNotFoundError(f'Error loading the CDB from this model pack: {self.model_pack.path}') from exc
+
+        # Load Vocab
+        vocab_path = os.path.join(unpacked_model_pack_path, "vocab.dat")
+        if os.path.exists(vocab_path):
+            Vocab.load(vocab_path)
+            vocab = Vocabulary()
+            vocab.vocab_file.name = vocab_path.replace(f'{MEDIA_ROOT}/', '')
+            vocab.save(skip_load=True)
+            self.vocab = vocab
+        else:
+            # DeID model packs do not have a vocab.dat file
+            logger.warn('Error loading the Vocab from this model pack - '
+                        f'if this is a DeID model pack, this is expected: {vocab_path}')
+
+        # load MetaCATs
+        try:
+            metaCATmodels = []
+            # should raise an error if there already is a MetaCAT model with this definition
+            for meta_cat_dir, meta_cat in CAT.load_meta_cats(unpacked_model_pack_path):
+                mc_model = MetaCATModel()
+                mc_model.meta_cat_dir = meta_cat_dir.replace(f'{MEDIA_ROOT}/', '')
+                mc_model.name = f'{meta_cat.config.general.category_name} - {meta_cat.config.model.model_name}'
+                mc_model.save(unpack_load_meta_cat_dir=False)
+                mc_model.get_or_create_meta_tasks_and_values(meta_cat)
+                metaCATmodels.append(mc_model)
+            self.meta_cats.set(metaCATmodels)  # Use set() instead of add() for atomic operation
+        except Exception as exc:
+            raise MedCATLoadException(f'Failure loading MetaCAT models - {unpacked_model_pack_path}') from exc
+            
+        # Only save if this is an update (not a new instance)
+        if not is_new:
+            super().save(*args, **kwargs)
+
+    def __str__(self):
+        return self.name
+
+
+class ConceptDB(models.Model):
+    name = models.CharField(max_length=100, default='', blank=True, validators=[cdb_name_validator], unique=True)
+    cdb_file = models.FileField()
+    use_for_training = models.BooleanField(default=True)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.__cdb_field_name = None
+
+    @classmethod
+    def from_db(cls, db, field_names, values):
+        inst = super().from_db(db, field_names, values)
+        inst.__cdb_field_name = [v for f, v in zip(field_names, values) if f == 'cdb_file'][0]
+        return inst
+
+    def save(self, *args, skip_load=False, **kwargs):
+        if self.__cdb_field_name is not None and self.__cdb_field_name != self.cdb_file.name:
+            raise ValidationError('Cannot change file path of existing CDB.')
+        else:
+            super().save(*args, **kwargs)
+        # load the CDB, and raise if this fails - must be saved first so storage handler can rename path if name clashes
+        if not skip_load:
+            try:
+                CDB.load(self.cdb_file.path)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load Concept DB from {self.cdb_file}, '
+                                          f'check if this CDB file successfully loads elsewhere') from exc
+
+
+    def __str__(self):
+        return self.name
+
+
+class Vocabulary(models.Model):
+    name = models.CharField(max_length=100, default='', blank=True)
+    vocab_file = models.FileField()
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    last_modified_by = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, default=None, null=True)
+
+    def save(self, *args, skip_load=False, **kwargs):
+        super().save(*args, **kwargs)
+
+        # load the Vocab, and raise if this fails
+        if not skip_load:
+            try:
+                Vocab.load(self.vocab_file.path)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load Vocab from {self.vocab_file}, '
+                                          f'check if this Vocab file successfully loads elsewhere') from exc
+
+    def __str__(self):
+        return str(self.vocab_file.name)
+
+
+class MetaCATModel(models.Model):
+    name = models.CharField(max_length=100, help_text="The task name followed by the underlying model impl", unique=True)
+    meta_cat_dir = models.FilePathField(help_text='The zip or dir for a MetaCAT model, not editable, '
+                                                  'is set via a model pack .zip upload',
+                                        allow_folders=True, editable=False)
+
+    def get_or_create_meta_tasks_and_values(self, meta_cat: MetaCAT):
+        task = meta_cat.config.general.category_name
+        mt = MetaTask.objects.filter(name=task).first()
+        if not mt:
+            mt = MetaTask()
+            mt.name = task
+            mt.prediction_model = self
+            mt.save()
+        else:
+            mt.prediction_model = self
+            mt.save()
+
+        mt_vs = []
+        for meta_task_value in meta_cat.config.general.category_value2id.keys():
+            mt_v = MetaTaskValue.objects.filter(name=meta_task_value).first()
+            if not mt_v:
+                mt_v = MetaTaskValue()
+                mt_v.name = meta_task_value
+                mt_v.save()
+            mt_vs.append(mt_v)
+        mt.values.set(mt_vs)
+        self.save()
+
+    def save(self, *args, unpack_load_meta_cat_dir=False, **kwargs):
+        if unpack_load_meta_cat_dir:
+            try:
+                # load the meta cat model, raise if issues
+                model_files = os.path.join(MEDIA_ROOT, self.meta_cat_dir)
+                shutil.unpack_archive(self.meta_cat_dir, extract_dir=model_files)
+                MetaCAT.load(save_dir_path=model_files)
+            except Exception as exc:
+                raise MedCATLoadException(f'Failed to load MetaCAT from {self.meta_cat_dir}, '
+                                          f'check if this MetaCAT dir successfully loads elsewhere') from exc
+        super().save(*args, **kwargs)
+
+    def __str__(self):
+        return f'{self.name} - {str(self.meta_cat_dir)}'
+
+
+class Dataset(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    original_file = models.FileField()
+    create_time = models.DateTimeField(auto_now_add=True)
+    description = models.TextField(default="", blank=True)
+
+    def __str__(self):
+        return str(self.name)
+
+
+class DatasetForm(ModelForm):
+    def clean(self):
+        original_file = self.cleaned_data['original_file']
+        if '.csv' in original_file.name:
+            df = pd.read_csv(original_file.file, on_bad_lines='error')
+        elif '.xlsx' in original_file.name:
+            df = pd.read_excel(original_file.file)
+        else:
+            raise forms.ValidationError({'original_file': 'Must be either .csv or .xlsx'})
+        if 'name' not in df.columns or 'text' not in df.columns:
+            raise forms.ValidationError({'original_file': 'Must contain at least a "name" and "text" column'})
+
+
+class Document(models.Model):
+    name = models.CharField(max_length=150)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    text = models.TextField(default="", blank=True)
+    dataset = models.ForeignKey('Dataset', on_delete=models.CASCADE)
+
+    class Meta:
+        ordering = ['id']
+
+    def __str__(self):
+        return f'{self.name} | {self.dataset.name} | {self.dataset.id}'
+
+
+class ProjectFields(models.Model):
+    class Meta:
+        abstract = True
+
+    PROJECT_STATUSES = [
+        ("A", "Annotating"),
+        ("D", "Discontinued (Fail)"),
+        ("C", "Complete"),
+    ]
+
+    name = models.CharField(max_length=150, help_text='A name of the annotation project', unique=True)
+    description = models.TextField(default="", blank=True, help_text='A short description of the annotations to be '
+                                                                     'collected and why')
+    dataset = models.ForeignKey('Dataset', on_delete=models.CASCADE, help_text='The dataset to be annotated.')
+    annotation_guideline_link = models.TextField(default="", blank=True,
+                                                 help_text="link to an external document (i.e. GoogleDoc, MS Sharepoint)"
+                                                           "outlining a guide for annotators to follow for this project,"
+                                                           "an example is available here: https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing")
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+    cuis = models.TextField(default=None, blank=True, help_text='A list of comma seperated concept unique identifiers (CUIs) to be annotated')
+    cuis_file = models.FileField(null=True, blank=True,
+                                 help_text='A file containing a JSON formatted list of CUI code strings, '
+                                           'i.e. ["1234567","7654321"]')
+    annotation_classification = models.BooleanField(default=False, help_text="If these annotations are suitable "
+                                                                             "for training a general purpose model. If"
+                                                                             " in doubt uncheck this.")
+    meta_cat_predictions = models.BooleanField(default=False, help_text="If MetaTasks are setup on the project and "
+                                                                        "there are associated MetaCATModel instances, "
+                                                                        "display these predictions in the interface to "
+                                                                        "be validated / corrected")
+    project_locked = models.BooleanField(default=False, help_text="Locked indicates annotation collection is complete and this dataset should "
+                                                                  "not be touched any further.")
+    project_status = models.CharField(max_length=1, choices=PROJECT_STATUSES, default="A",
+                                      help_text="The status of the annotation collection exercise")
+
+
+class Project(PolymorphicModel, ProjectFields):
+    members = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                     help_text='The list users that have access to this annotation project')
+    group = models.ForeignKey('ProjectGroup', on_delete=models.SET_NULL, blank=True, null=True,
+                              help_text='The annotation project group that this project is part of')
+    validated_documents = models.ManyToManyField(Document, default=None, blank=True,
+                                                 help_text='Set automatically on each doc submission')
+    prepared_documents = models.ManyToManyField(Document, default=None, blank=True,
+                                                help_text='Set automatically on each prep of a document',
+                                                related_name='prepared_documents')
+
+    def __str__(self):
+        return str(self.name)
+
+
+class Entity(models.Model):
+    label = models.CharField(max_length=300, unique=True)
+
+    def __str__(self):
+        return str(self.label)
+
+
+class Relation(models.Model):
+    label = models.CharField(max_length=300, unique=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def __str__(self):
+        return str(self.label)
+
+
+class EntityRelation(models.Model):
+    user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
+    project = models.ForeignKey('Project', on_delete=models.CASCADE)
+    document = models.ForeignKey('Document', on_delete=models.CASCADE, related_name='entity_relation_document')
+    relation = models.ForeignKey('Relation', on_delete=models.CASCADE)
+    start_entity = models.ForeignKey('AnnotatedEntity', related_name='start_entity', on_delete=models.CASCADE)
+    end_entity = models.ForeignKey('AnnotatedEntity', related_name='end_entity', on_delete=models.CASCADE)
+    validated = models.BooleanField(default=False)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.project.last_modified = self.last_modified
+        self.project.save()
+
+    def __str__(self):
+        return f'{self.start_entity} - {self.relation} - {self.end_entity}'
+
+
+class AnnotatedEntity(models.Model):
+    user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
+    project = models.ForeignKey('Project', on_delete=models.CASCADE)
+    document = models.ForeignKey('Document', on_delete=models.CASCADE, related_name='annotated_entity')
+    entity = models.ForeignKey('Entity', on_delete=models.CASCADE)
+    value = models.CharField(max_length=1000)
+    start_ind = models.IntegerField()
+    end_ind = models.IntegerField()
+    acc = models.FloatField()
+    comment = models.TextField(null=True, blank=True)
+    validated = models.BooleanField(default=False)
+    correct = models.BooleanField(default=False)
+    alternative = models.BooleanField(default=False)
+    manually_created = models.BooleanField(default=False)
+    deleted = models.BooleanField(default=False)
+    killed = models.BooleanField(default=False)
+    irrelevant = models.BooleanField(default=False)
+    create_time = models.DateTimeField(auto_now_add=True)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ['id']
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.project.last_modified = self.last_modified
+        self.project.save()
+
+    def __str__(self):
+        return str(self.entity)
+
+
+class MetaTaskValue(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    ordering = models.PositiveSmallIntegerField(help_text="the order in which the meta task value will appear in "
+                                                          "the Trainer Annotation project screen", default=0)
+
+    class Meta:
+        ordering = ['ordering', 'name']
+
+    def __str__(self):
+        return str(self.name)
+
+
+class MetaTask(models.Model):
+    name = models.CharField(max_length=150, unique=True)
+    values = models.ManyToManyField(MetaTaskValue, related_name='values')
+    default = models.ForeignKey('MetaTaskValue', null=True, blank=True, on_delete=models.SET_NULL)
+    description = models.TextField(default="", blank=True)
+    ordering = models.PositiveSmallIntegerField(help_text="the order in which the meta task will appear in "
+                                                          "the Trainer Annotation project screen", default=0)
+    prediction_model = models.ForeignKey('MetaCATModel', null=True, blank=True, on_delete=models.SET_NULL)
+
+    class Meta:
+        ordering = ['ordering', 'name']
+
+    def __str__(self):
+        return str(self.name)
+
+
+class ProjectAnnotateEntitiesFields(models.Model):
+    """
+    Abstract class for all model fields for ProjectAnnotateEntities models.
+    """
+    class Meta:
+        abstract = True
+
+    concept_db = models.ForeignKey('ConceptDB', on_delete=models.SET_NULL, blank=True, null=True,
+                                   help_text='The MedCAT CDB used to annotate / validate')
+    vocab = models.ForeignKey('Vocabulary', on_delete=models.SET_NULL, blank=True, null=True,
+                              help_text='The MedCAT Vocab used to annotate / validate')
+    model_pack = models.ForeignKey('ModelPack', on_delete=models.SET_NULL, help_text="A MedCAT model pack. This will raise an exception if "
+                                                                                     "both the CDB and Vocab and ModelPack fields are set",
+                                   default=None, null=True, blank=True)
+    cdb_search_filter = models.ManyToManyField('ConceptDB', blank=True, default=None,
+                                               help_text='The CDB that will be used for concept lookup. '
+                                                         'This specific CDB should have been "imported" '
+                                                         'via the CDB admin screen',
+                                               related_name='concept_source')
+    require_entity_validation = models.BooleanField(default=True,
+                                                    help_text='Entities appear grey and are required to be validated '
+                                                              'before submission')
+    train_model_on_submit = models.BooleanField(default=True, help_text='Active learning - configured CDB is trained '
+                                                                        'on each submit')
+    add_new_entities = models.BooleanField(default=False,
+                                           help_text='Allow the creation of new terms to be added to the CDB')
+    restrict_concept_lookup = models.BooleanField(default=False,
+                                                  help_text='Users can only search for concept terms from the '
+                                                            'list configured for the project, i.e. either from '
+                                                            'the cuis or cuis_file lists. Checking this when both'
+                                                            'cuis and cuis_file are empty does nothing. If "add new '
+                                                            'entities" is available & added, and cuis or cuis_file'
+                                                            'is non-empty the new CUI will be added.')
+    terminate_available = models.BooleanField(default=True,
+                                              help_text='Enable the option to terminate concepts.')
+    irrelevant_available = models.BooleanField(default=False,
+                                               help_text='Enable the option to add the irrelevant button.')
+    deid_model_annotation = models.BooleanField(default=False,
+                                                help_text='To indicate that this project is to collect De-ID Model annotations')
+    enable_entity_annotation_comments = models.BooleanField(default=False,
+                                                            help_text="Enable to allow annotators to leave comments"
+                                                                      " for each annotation")
+    tasks = models.ManyToManyField('MetaTask', blank=True, default=None,
+                                   help_text='The set of MetaAnnotation tasks configured for this project, '
+                                             'this will default to the set of Tasks configured in a ModelPack '
+                                             'if a model pack is used for the project')
+    relations = models.ManyToManyField('Relation', blank=True, default=None,
+                                       help_text='Relations that will be available for this project')
+
+    def save(self, *args, **kwargs):
+        if self.model_pack is None and (self.concept_db is None or self.vocab is None):
+            raise ValidationError('Must set at least the ModelPack or a Concept Database and Vocab Pair')
+        if self.model_pack and (self.concept_db is not None or self.vocab is not None):
+            raise ValidationError('Cannot set model pack and ConceptDB or a Vocab. You must use one or the other.')
+        if self.deid_model_annotation and self.model_pack is None:
+            raise ValidationError('Must set a DeID ModelPack for De-ID Model Annotation, cannot only set a cdb / vocab pair as'
+                                  ' not be a DeId model')
+        super().save(*args, **kwargs)
+
+
+class ProjectAnnotateEntities(Project, ProjectAnnotateEntitiesFields):
+    """
+    Class for any single ProjectAnnotateEntities model fields that should not be inherited by ProjectGroup
+    In practise its unlikely further fields are needed.
+    """
+    pass
+
+
+class ProjectGroup(ProjectFields, ProjectAnnotateEntitiesFields):
+    administrators = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                            help_text="The set of users that will have visibility of all "
+                                                      "projects in this project group", related_name='administrators')
+    annotators = models.ManyToManyField(settings.AUTH_USER_MODEL,
+                                        help_text="The set of users that will each be provided an annotation project",
+                                        related_name='annotators')
+    cdb_search_filter = models.ManyToManyField('ConceptDB', blank=True,
+                                               help_text='The CDB that will be used for concept lookup. '
+                                                         'This specific CDB should have been "imported" '
+                                                         'via the CDB admin screen',
+                                               related_name='project_group_concept_source')
+    create_associated_projects = models.BooleanField(default=True,
+                                                     help_text='This only functions on new Project Group entries. '
+                                                               ' If creating a new Project Group and this is checked, '
+                                                               'it will create a ProjectAnnotateEntities for each'
+                                                               ' annotator. If unchecked it will not create associated'
+                                                               ' ProjectAnnotateEntities instead, leaving the admin to '
+                                                               ' manually configure groups of projects.')
+
+    def __str__(self):
+        return self.name
+
+
+class MetaAnnotation(models.Model):
+    annotated_entity = models.ForeignKey('AnnotatedEntity', on_delete=models.CASCADE)
+    meta_task = models.ForeignKey('MetaTask', on_delete=models.CASCADE)
+    meta_task_value = models.ForeignKey('MetaTaskValue', on_delete=models.CASCADE)
+    acc = models.FloatField(default=1)
+    predicted_meta_task_value = models.ForeignKey('MetaTaskValue', on_delete=models.CASCADE,
+                                                  help_text='meta annotation predicted by a MetaAnnotationModel',
+                                                  null=True, blank=True, related_name="predicted_value")
+    validated = models.BooleanField(help_text='If an annotation is not ', default=False)
+    last_modified = models.DateTimeField(auto_now=True)
+
+    def save(self, *args, **kwargs):
+        super().save(*args, **kwargs)
+        self.annotated_entity.last_modified = self.last_modified
+        self.annotated_entity.save()
+
+    def __str__(self):
+        return str(self.annotated_entity)
+
+
+class ExportedProject(models.Model):
+    trainer_export_file = models.FileField(help_text='Previously exported MedCATtrainer .json file')
+
+    def __str__(self):
+        return self.trainer_export_file.name
+
+
+class ProjectMetrics(models.Model):
+    report_name_generated = models.TextField(help_text='report name that links this metrics report to a previously '
+                                                       'ran bg task')
+    report_name = models.TextField(help_text='A user specified report name that should be more user friendly than '
+                                             'the generated one')
+    report = models.FileField(help_text='the outputted metrics for configured')
+    projects = models.ManyToManyField('ProjectAnnotateEntities', blank=True)
+
+    def __str__(self):
+        return f'generated report name: {self.report_name}, user specified report name:f{self.report_name}'
+
+
+@receiver(models.signals.post_delete, sender=ConceptDB)
+def auto_delete_cdb_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'cdb_file')
+
+
+@receiver(models.signals.post_delete, sender=Vocabulary)
+def auto_delete_vocab_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'vocab_file')
+
+
+@receiver(models.signals.post_delete, sender=Dataset)
+def auto_delete_dataset_file_on_delete(sender, instance, **kwargs):
+    _remove_file(instance, 'original_file')
+
+
+def _remove_file(instance, prop):
+    if getattr(instance, prop):
+        if os.path.isfile(getattr(instance, prop).path):
+            os.remove(getattr(instance, prop).path)
+
+
+class MedCATLoadException(Exception):
+    def __init__(self, message):
+        super().__init__(message)
diff --git a/v1/medcat-trainer/webapp/api/api/permissions.py b/v1/medcat-trainer/webapp/api/api/permissions.py
new file mode 100644
index 000000000..e8995c01f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/permissions.py
@@ -0,0 +1,11 @@
+from rest_framework import permissions
+
+class IsReadOnly(permissions.BasePermission):
+    """
+    Object-level permission to only allow read-only operations.
+    """
+
+    def has_permission(self, request, view):
+        # Read permissions are allowed to any request,
+        # so we'll always allow GET, HEAD or OPTIONS requests.
+        return request.method in permissions.SAFE_METHODS
diff --git a/v1/medcat-trainer/webapp/api/api/serializers.py b/v1/medcat-trainer/webapp/api/api/serializers.py
new file mode 100644
index 000000000..89ff70fea
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/serializers.py
@@ -0,0 +1,133 @@
+import json
+import logging
+
+from django.contrib.auth.models import User
+from rest_framework.fields import FileField
+from rest_framework.serializers import Serializer
+
+from .models import *
+from rest_framework import serializers
+
+
+logger = logging.getLogger(__name__)
+
+class UserSerializer(serializers.HyperlinkedModelSerializer):
+    class Meta:
+        model = User
+        fields = ['url', 'username', 'email', 'id', 'is_staff', 'is_superuser']
+
+
+class EntitySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Entity
+        fields = '__all__'
+
+
+class RelationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Relation
+        fields = '__all__'
+
+
+class EntityRelationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = EntityRelation
+        fields = '__all__'
+
+
+class ModelPackSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ModelPack
+        fields = '__all__'
+
+
+class MetaCATModelSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaCATModel
+        fields = '__all__'
+
+
+class ConceptDBSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ConceptDB
+        fields = '__all__'
+
+
+class VocabularySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Vocabulary
+        fields = '__all__'
+
+
+class DatasetSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Dataset
+        fields = '__all__'
+
+
+class ProjectAnnotateEntitiesSerializer(serializers.ModelSerializer):
+    cuis_file = serializers.FileField(write_only=True, required=False)
+    
+    class Meta:
+        model = ProjectAnnotateEntities
+        fields = '__all__'
+
+    def to_representation(self, instance):
+        data = super(ProjectAnnotateEntitiesSerializer, self).to_representation(instance)
+        try:
+            cuis_from_file = json.load(open(instance.cuis_file.path)) if instance.cuis_file else []
+        except FileNotFoundError:
+            logger.warning('cuis file %s cannot be found. Project: %s will fail to load. File '
+                           'needs to be cleared and re-uploaded to load project', instance.cuis_file,
+                           instance.name)
+            cuis_from_file = []
+        cui_list = [s.strip() for s in data['cuis'].split(',')] + cuis_from_file if len(data['cuis']) > 0 else cuis_from_file
+        data['cuis'] = ','.join(cui_list)
+        return data
+
+
+class ProjectGroupSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = ProjectGroup
+        fields = '__all__'
+
+    def to_representation(self, instance):
+        # enrich with other fields? last_modified etc.?
+        data = super(ProjectGroupSerializer, self).to_representation(instance)
+        projects = ProjectAnnotateEntities.objects.filter(group=instance)
+        if len(projects) > 0:
+            projects = sorted(projects, key=lambda p: p.last_modified, reverse=True)
+            data['last_modified'] = projects[0].last_modified
+        else:
+            data['last_modified'] = None
+        return data
+
+
+class DocumentSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Document
+        fields = '__all__'
+
+
+class AnnotatedEntitySerializer(serializers.ModelSerializer):
+    class Meta:
+        model = AnnotatedEntity
+        fields = '__all__'
+
+
+class MetaAnnotationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaAnnotation
+        fields = '__all__'
+
+
+class MetaTaskSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaTask
+        fields = '__all__'
+
+
+class MetaTaskValueSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = MetaTaskValue
+        fields = '__all__'
diff --git a/v1/medcat-trainer/webapp/api/api/signals.py b/v1/medcat-trainer/webapp/api/api/signals.py
new file mode 100644
index 000000000..112b1fa58
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/signals.py
@@ -0,0 +1,85 @@
+import json
+import logging
+import os
+import shutil
+
+from django.core.exceptions import ObjectDoesNotExist, ValidationError
+from django.db.models.fields.files import FileField
+from django.db.models.signals import post_save, post_delete, pre_save, m2m_changed, pre_delete
+from django.dispatch import receiver
+
+from api.data_utils import dataset_from_file, delete_orphan_docs, upload_projects_export
+from api.models import Dataset, ExportedProject, ModelPack, ProjectFields, ProjectAnnotateEntitiesFields, MetaTask, \
+    ProjectAnnotateEntities
+from core.settings import MEDIA_ROOT
+
+
+logger = logging.getLogger(__name__)
+
+
+@receiver(post_save, sender=Dataset)
+def save_dataset(sender, instance, **kwargs):
+    dataset_from_file(instance)
+
+
+@receiver(pre_save, sender=Dataset)
+def pre_save_dataset(sender, instance, **kwargs):
+    if instance.id:
+        delete_orphan_docs(instance)
+        remove_dataset_file(sender, instance, **kwargs)
+
+
+@receiver(post_delete, sender=Dataset)
+def remove_dataset_file(sender, instance, **kwargs):
+    """
+    Removes corresponding file from Dataset.original_file FileField.
+    """
+    if instance.original_file:
+        if os.path.isfile(instance.original_file.path):
+            os.remove(instance.original_file.path)
+
+
+@receiver(post_save, sender=ExportedProject)
+def save_exported_projects(sender, instance, **kwargs):
+    if not instance.trainer_export_file.path.endswith('.json'):
+        raise Exception("Please make sure the file is a .json file")
+    upload_projects_export(json.load(open(instance.trainer_export_file.path)))
+
+
+@receiver(pre_delete, sender=ModelPack)
+def remove_model_pack_meta_cat_models(sender, instance, **kwargs):
+    if len(instance.meta_cats.all()) > 0:
+        for m_c in instance.meta_cats.all():
+            m_c.delete(using=None, keep_parents=False)
+
+
+@receiver(post_delete, sender=ModelPack)
+def remove_model_pack_assets(sender, instance, **kwargs):
+    try:
+        if instance.concept_db:
+            instance.concept_db.delete(using=None, keep_parents=False)
+    except ObjectDoesNotExist:
+        pass  # if a ConceptDB of a model pack is removed, this will cascade ModelPack removal.
+    try:
+        if instance.vocab:
+            instance.vocab.delete(using=None, keep_parents=False)
+    except ObjectDoesNotExist:
+        pass  # if a vocab of a model pack is removed, this will cascade ModelPack removal.
+
+    try:
+        # rm the model pack unzipped dir & model pack zip
+        shutil.rmtree(instance.model_pack.path.replace(".zip", ""))
+        os.remove(instance.model_pack.path)
+    except FileNotFoundError:
+        logger.warning("Failure removing Model pack dir or zip. Not found. Likely already deleted")
+
+
+def project_tasks_changed(sender, instance, action, **kwargs):
+    # post_remove or post_add actions, overwrite to model_pack supplied MetaCAT tasks.
+    if (action.startswith('post') and type(instance) is ProjectAnnotateEntitiesFields and
+            instance.model_pack is not None):
+        instance.tasks.set([MetaTask.objects.filter(prediction_model_id=meta_cat.id).first() for meta_cat in
+                            instance.model_pack.meta_cats.all()])
+
+
+m2m_changed.connect(project_tasks_changed, sender=ProjectAnnotateEntitiesFields.tasks.through)
diff --git a/v1/medcat-trainer/webapp/api/api/solr_utils.py b/v1/medcat-trainer/webapp/api/api/solr_utils.py
new file mode 100644
index 000000000..65c5183dc
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/solr_utils.py
@@ -0,0 +1,214 @@
+import json
+import logging
+import re
+from typing import List, Dict
+
+import requests
+from django.http import HttpResponseServerError
+from medcat.cdb import CDB
+from rest_framework.response import Response
+
+from api.models import ConceptDB
+from core.settings import SOLR_HOST, SOLR_PORT
+
+SOLR_INDEX_SCHEMA = {}
+
+logger = logging.getLogger(__name__)
+
+
+def _cache_solr_collection_schema_types(collection):
+    url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection}/schema'
+    logger.info(f'Retrieving solr schema: {url}')
+    try:
+        resp = json.loads(requests.get(url).text)
+        cui_type = [n for n in resp['schema']['fields'] if n['name'] == 'cui'][0]['type']
+        # just store cui type for the time being
+        SOLR_INDEX_SCHEMA[collection] = {'cui': cui_type}
+    except ConnectionError as e:
+        logger.error(f'Error connecting to solr search service to retrieve schema for collection: {collection}')
+        raise e
+
+
+def collections_available(cdbs: List[int]):
+    url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/admin/collections?action=LIST'
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        collections = json.loads(resp.text)['collections']
+        # cache schema field types
+        for col in collections:
+            _cache_solr_collection_schema_types(col)
+        current_collections_cdb_ids = [c.split('_id_')[-1] for c in collections]
+        if len(cdbs):
+            return Response({'results': {cdb_id: cdb_id in current_collections_cdb_ids for cdb_id in cdbs}})
+        else:
+            return Response({'results': {cdb_id: {'imported': False, 'index_name': col}
+                                         for cdb_id, col in zip(current_collections_cdb_ids, collections)}})
+    else:
+        return HttpResponseServerError('Error requesting solr concept search collection list')
+
+
+def _process_result_repsonse(resp: Dict):
+    uniq_results_map = {}
+    docs = [d for d in resp['response']['docs']]
+    for d in docs:
+        if d['cui'][0] not in uniq_results_map:
+            parsed_doc = {
+                'cui': str(d['cui'][0]),
+                'pretty_name': d['pretty_name'][0],
+                'type_ids': d.get('type_ids', []),
+                'synonyms': d['synonyms']
+            }
+            uniq_results_map[d['cui'][0]] = parsed_doc
+    return uniq_results_map
+
+
+def search_collection(cdbs: List[int], raw_query: str):
+    query = raw_query.strip().replace(r'\s+', r'\s').split(' ')
+    if len(query) == 1 and query[0] == '':
+        return Response({'results': []})
+    res = []
+    if len(cdbs) > 0:
+        uniq_results_map = {}
+        for cdb in cdbs:
+            cdb_model = ConceptDB.objects.get(id=cdb)
+            collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+            if collection_name not in SOLR_INDEX_SCHEMA:
+                _cache_solr_collection_schema_types(collection_name)
+            try:
+                query_num = int(query[0])
+                query_str = f'cui:{query_num}'
+            except ValueError:
+                # cannot be a cui if multi-word, OR single word, not a numeric cui
+                query_str = f'name:"{" ".join(query)}"^2 synonyms:"{" ".join(query)}"'
+                if len(query) == 1 and SOLR_INDEX_SCHEMA[collection_name]['cui'] != 'plongs':
+                    # single word, alphanumeric cui type.
+                    query_str = f'cui:{query[0]} ' + query_str
+
+            solr_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection_name}/select?q.op=OR&q={query_str}&rows=15'
+            logger.info(f'Searching solr collection: {solr_url}')
+            resp = json.loads(requests.get(solr_url).text)
+
+            if 'error' in resp:
+                return HttpResponseServerError(f'Concept Search Index {collection_name} not available, '
+                                               f'import concept DB first before trying to search it.')
+            elif len(resp['response']['docs']) == 0:
+                # try with wildcards at the end of the entire query, rather than each token
+                fallback_query = f'name:{" ".join(query)}* synonyms:{" ".join(query)}*'
+                solr_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr/{collection_name}/select?q.op=OR&q={fallback_query}&rows=15'
+                logger.info(f'Searching solr collection with fall back query at url: {solr_url}')
+                resp = json.loads(requests.get(solr_url).text)
+                uniq_results_map.update(_process_result_repsonse(resp))
+            else:
+                uniq_results_map.update(_process_result_repsonse(resp))
+
+        res = sorted(uniq_results_map.values(), key=lambda r: len(r['pretty_name']))
+    return Response({'results': res})
+
+
+def import_all_concepts(cdb: CDB, cdb_model: ConceptDB):
+    collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+
+    # check if solr collections already exists.
+    url = f'{base_url}/admin/collections?action=LIST'
+    resp = requests.get(url)
+    if resp.status_code != 200:
+        logger.error("Error connecting to Solr to retrieve current collection list")
+        raise Exception("Error connecting to Solr to retrieve current collection list")
+
+    collections = json.loads(resp.text)['collections']
+    if collection_name in collections:
+        # delete collection
+        url = f'{base_url}/admin/collections?action=DELETE&name={collection_name}'
+        requests.get(url)
+
+    # create solr collections.
+    url = f'{base_url}/admin/collections?action=CREATE&name={collection_name}&numShards=1'
+    resp = requests.get(url)
+    if resp.status_code != 200:
+        _solr_error_response(resp, 'Failure creating collection')
+
+    cui2name_iter = iter(cdb.cui2names.items())
+
+    payload = []
+    try:
+        while True:
+            for i in range(5000):
+                cui, name = next(cui2name_iter)
+                concept_dct = _concept_dct(cui, cdb)
+                payload.append(concept_dct)
+            _upload_payload(f'{base_url}/{collection_name}/update', payload, collection_name)
+            payload = []
+    except StopIteration:
+        # upload last update
+        _upload_payload(f'{base_url}/{collection_name}/update', payload, collection_name, commit=True)
+
+    # get final collection size
+    logger.info(f'Successfully uploaded {cdb_model.name} cuis / names to solr collection {collection_name}')
+
+    resp = requests.get(f'{base_url}/{collection_name}/select?q=*:*&rows=0')
+    logger.info(f'{json.loads(resp.text)["response"]["numFound"]} Concepts now searchable')
+
+
+def drop_collection(cdb_model: ConceptDB):
+    collection_name = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+    url = f'{base_url}/admin/collections?action=DELETE&name={collection_name}'
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        logger.info(f'Successfullly dropped concept collection:{collection_name}')
+    else:
+        logger.warning(f'Error dropping concept collection {collection_name}, error: {resp.text}')
+
+
+def ensure_concept_searchable(cui, cdb: CDB, cdb_model: ConceptDB):
+    """
+    Adds a single cui and associated metadata is available in the assocaited solr search index.
+    Args:
+        cui: concept unique identifier of the concept to make searchable
+        cdb: the MedCAT CDB where the cui can be found
+        cdb_model: the associated Django model instance for the CDB.
+    """
+    collection = f'{cdb_model.name}_id_{cdb_model.id}'
+    base_url = f'http://{SOLR_HOST}:{SOLR_PORT}/solr'
+    url = f'{base_url}/admin/collections?action=LIST'
+    resp = requests.get(url)
+    if resp.status_code == 200:
+        collections = json.loads(resp.text)['collections']
+        data = [_concept_dct(cui, cdb)]
+        if collection in collections:
+            _upload_payload(f'{base_url}/{collection}/update', data, collection, commit=True)
+
+
+def _upload_payload(update_url, data, collection, commit=False):
+    update_url = f'{update_url}?commit=true' if commit else update_url
+    logger.info(f'Uploading {len(data)} to solr collection {collection}')
+    resp = requests.post(update_url, json=data)
+    if resp.status_code == 200:
+        logger.info(f'Successfully uploaded {len(data)} concepts to solr collection {collection}')
+    elif resp.status_code != 200:
+        _solr_error_response(resp, f'error updating {collection}')
+
+
+def _concept_dct(cui: str, cdb: CDB):
+    synonyms = list(cdb.addl_info.get('cui2original_names', {}).get(cui, set()))
+    concept_dct = {
+        'cui': str(cui),
+        'pretty_name': cdb.get_name(cui),
+        'name': re.sub(r'\([\w+\s]+\)', '', cdb.get_name(cui)).strip(),
+        'type_ids': list(cdb.cui2type_ids[cui]),
+        'desc': cdb.addl_info.get('cui2description', {}).get(cui, ''),
+        'synonyms': synonyms if len(synonyms) > 0 else [cdb.get_name(cui)]
+    }
+    return concept_dct
+
+
+def _solr_error_response(resp, error_msg):
+    try:
+        error = json.loads(resp.text)['error']
+    except Exception as e:
+        logger.error(f'{error_msg}: unknown error')
+        raise e
+    error_msg = f'{error_msg}: solr error: {error}'
+    logger.error(error_msg)
+    raise Exception(error_msg)
diff --git a/v1/medcat-trainer/webapp/api/api/tests.py b/v1/medcat-trainer/webapp/api/api/tests.py
new file mode 100644
index 000000000..7ce503c2d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/tests.py
@@ -0,0 +1,3 @@
+from django.test import TestCase
+
+# Create your tests here.
diff --git a/v1/medcat-trainer/webapp/api/api/urls.py b/v1/medcat-trainer/webapp/api/api/urls.py
new file mode 100644
index 000000000..3d2c02829
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/urls.py
@@ -0,0 +1,5 @@
+from django.contrib import admin
+from django.urls import path
+from .views import *
+
+urlpatterns = []
diff --git a/v1/medcat-trainer/webapp/api/api/utils.py b/v1/medcat-trainer/webapp/api/api/utils.py
new file mode 100644
index 000000000..8d4d64ad0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/utils.py
@@ -0,0 +1,293 @@
+import json
+import logging
+import os
+from typing import List
+
+from background_task import background
+from django.contrib.auth.models import User
+from django.db import transaction
+from django.db.models.signals import post_save
+from django.dispatch import receiver
+from medcat.cat import CAT
+from medcat.utils.filters import check_filters
+from medcat.utils.helpers import tkns_from_doc
+from medcat.utils.ner.deid import DeIdModel
+
+from .model_cache import get_medcat
+from .models import Entity, AnnotatedEntity, ProjectAnnotateEntities, \
+    MetaAnnotation, MetaTask, Document
+
+logger = logging.getLogger('trainer')
+
+
+def remove_annotations(document, project, partial=False):
+    try:
+        if partial:
+            # Removes only the ones that are not validated
+            AnnotatedEntity.objects.filter(project=project,
+                                           document=document,
+                                           validated=False).delete()
+            logger.debug(f"Unvalidated Annotations removed for:{document.id}")
+        else:
+            # Removes everything
+            AnnotatedEntity.objects.filter(project=project, document=document).delete()
+            logger.debug(f"All Annotations removed for:{document.id}")
+    except Exception as e:
+        logger.debug(f"Something went wrong: {e}")
+
+
+def add_annotations(spacy_doc, user, project, document, existing_annotations, cat):
+    spacy_doc._.ents.sort(key=lambda x: len(x.text), reverse=True)
+
+    tkns_in = []
+    ents = []
+    existing_annos_intervals = [(ann.start_ind, ann.end_ind) for ann in existing_annotations]
+    # all MetaTasks and associated values
+    # that can be produced are expected to have available models
+    try:
+        metatask2obj = {task_name: MetaTask.objects.get(name=task_name)
+                        for task_name in spacy_doc._.ents[0]._.meta_anns.keys()}
+        metataskvals2obj = {task_name: {v.name: v for v in MetaTask.objects.get(name=task_name).values.all()}
+                            for task_name in spacy_doc._.ents[0]._.meta_anns.keys()}
+    except (AttributeError, IndexError):
+        # IndexError: ignore if there are no annotations in this doc
+        # AttributeError: ignore meta_anns that are not present - i.e. non model pack preds
+        # or model pack preds with no meta_anns
+        metatask2obj = {}
+        metataskvals2obj = {}
+        pass
+
+    def check_ents(ent):
+        return any((ea[0] < ent.start_char < ea[1]) or
+                   (ea[0] < ent.end_char < ea[1]) for ea in existing_annos_intervals)
+
+    for ent in spacy_doc._.ents:
+        if not check_ents(ent) and check_filters(ent._.cui, cat.config.linking['filters']):
+            to_add = True
+            for tkn in ent:
+                if tkn in tkns_in:
+                    to_add = False
+            if to_add:
+                for tkn in ent:
+                    tkns_in.append(tkn)
+                ents.append(ent)
+
+    logger.debug('Found %s annotations to store', len(ents))
+    for ent in ents:
+        logger.debug('Processing annotation ent %s of %s', ents.index(ent), len(ents))
+        label = ent._.cui
+
+        if not Entity.objects.filter(label=label).exists():
+            # Create the entity
+            entity = Entity()
+            entity.label = label
+            entity.save()
+        else:
+            entity = Entity.objects.get(label=label)
+
+        ann_ent = AnnotatedEntity.objects.filter(project=project,
+                                                  document=document,
+                                                  start_ind=ent.start_char,
+                                                  end_ind=ent.end_char).first()
+        if ann_ent is None:
+            # If this entity doesn't exist already
+            ann_ent = AnnotatedEntity()
+            ann_ent.user = user
+            ann_ent.project = project
+            ann_ent.document = document
+            ann_ent.entity = entity
+            ann_ent.value = ent.text
+            ann_ent.start_ind = ent.start_char
+            ann_ent.end_ind = ent.end_char
+            ann_ent.acc = ent._.context_similarity
+
+            MIN_ACC = cat.config.linking.get('similarity_threshold_trainer', 0.2)
+            if ent._.context_similarity < MIN_ACC:
+                ann_ent.deleted = True
+                ann_ent.validated = True
+
+            ann_ent.save()
+
+            # check the ent._.meta_anns if it exists
+            if hasattr(ent._, 'meta_anns') and len(metatask2obj) > 0 and len(metataskvals2obj) > 0:
+                logger.debug('Found %s meta annos on ent', len(ent._.meta_anns.items()))
+                for meta_ann_task, pred in ent._.meta_anns.items():
+                    meta_anno_obj = MetaAnnotation()
+                    meta_anno_obj.predicted_meta_task_value = metataskvals2obj[meta_ann_task][pred['value']]
+                    meta_anno_obj.meta_task = metatask2obj[meta_ann_task]
+                    meta_anno_obj.annotated_entity = ann_ent
+                    meta_anno_obj.meta_task_value = metataskvals2obj[meta_ann_task][pred['value']]
+                    meta_anno_obj.acc = pred['confidence']
+                    meta_anno_obj.save()
+                    logger.debug('Successfully saved %s', meta_anno_obj)
+
+
+
+def get_create_cdb_infos(cdb, concept, cui, cui_info_prop, code_prop, desc_prop, model_clazz):
+    codes = [c[code_prop] for c in cdb.cui2info.get(cui, {}).get(cui_info_prop, []) if code_prop in c]
+    existing_codes = model_clazz.objects.filter(code__in=codes)
+    codes_to_create = set(codes) - set([c.code for c in existing_codes])
+    for code in codes_to_create:
+        new_code = model_clazz()
+        new_code.code = code
+        descs = [c[desc_prop] for c in cdb.cui2info[cui][cui_info_prop]
+                 if c[code_prop] == code]
+        if len(descs) > 0:
+            new_code.desc = [c[desc_prop] for c in cdb.cui2info[cui][cui_info_prop]
+                             if c[code_prop] == code][0]
+            new_code.cdb = concept.cdb
+            new_code.save()
+    return model_clazz.objects.filter(code__in=codes)
+
+
+def _remove_overlap(project, document, start, end):
+    anns = AnnotatedEntity.objects.filter(project=project, document=document)
+
+    for ann in anns:
+        if (start <= ann.start_ind <= end) or (start <= ann.end_ind <= end):
+            logger.debug("Removed %s ", str(ann))
+            ann.delete()
+
+
+def create_annotation(source_val: str, selection_occurrence_index: int, cui: str, user: User,
+                      project: ProjectAnnotateEntities, document, cat: CAT):
+    text = document.text
+    id = None
+
+    all_occurrences_start_idxs = []
+    idx = 0
+    while idx != -1:
+        idx = text.find(source_val, idx)
+        if idx != -1:
+            all_occurrences_start_idxs.append(idx)
+            idx += len(source_val)
+
+    start = all_occurrences_start_idxs[selection_occurrence_index]
+
+    if start is not None and len(source_val) > 0 and len(cui) > 0:
+        # Remove overlaps
+        end = start + len(source_val)
+        _remove_overlap(project, document, start, end)
+
+        cnt = Entity.objects.filter(label=cui).count()
+        if cnt == 0:
+            # Create the entity
+            entity = Entity()
+            entity.label = cui
+            entity.save()
+        else:
+            entity = Entity.objects.get(label=cui)
+
+        ann_ent = AnnotatedEntity()
+        ann_ent.user = user
+        ann_ent.project = project
+        ann_ent.document = document
+        ann_ent.entity = entity
+        ann_ent.value = source_val
+        ann_ent.start_ind = start
+        ann_ent.end_ind = end
+        ann_ent.acc = 1
+        ann_ent.validated = True
+        ann_ent.manually_created = True
+        ann_ent.correct = True
+        ann_ent.save()
+        id = ann_ent.id
+
+    return id
+
+
+def train_medcat(cat, project, document):
+    # Get all annotations
+    anns = AnnotatedEntity.objects.filter(project=project, document=document, validated=True, killed=False)
+    text = document.text
+    spacy_doc = cat(text)
+
+    if len(anns) > 0 and text is not None and len(text) > 5:
+        for ann in anns:
+            cui = ann.entity.label
+            # Indices for this annotation
+            spacy_entity = tkns_from_doc(spacy_doc=spacy_doc, start=ann.start_ind, end=ann.end_ind)
+            # This will add the concept if it doesn't exist and if it
+            #does just link the new name to the concept, if the namee is
+            #already linked then it will just train.
+            manually_created = False
+            if ann.manually_created or ann.alternative:
+                manually_created = True
+
+            cat.add_and_train_concept(cui=cui,
+                          name=ann.value,
+                          spacy_doc=spacy_doc,
+                          spacy_entity=spacy_entity,
+                          negative=ann.deleted,
+                          devalue_others=manually_created)
+
+    # Completely remove concept names that the user killed
+    killed_anns = AnnotatedEntity.objects.filter(project=project, document=document, killed=True)
+    for ann in killed_anns:
+        cui = ann.entity.label
+        name = ann.value
+        cat.unlink_concept_name(cui=cui, name=name)
+
+    # Add irrelevant cuis to cui_exclude
+    irrelevant_anns = AnnotatedEntity.objects.filter(project=project, document=document, irrelevant=True)
+    for ann in irrelevant_anns:
+        cui = ann.entity.label
+        if 'cuis_exclude' not in cat.config.linking['filters']:
+            cat.config.linking['filters']['cuis_exclude'] = set()
+        cat.config.linking['filters'].get('cuis_exclude').update([cui])
+
+
+@background(schedule=1, queue='doc_prep')
+def prep_docs(project_id: List[int], doc_ids: List[int], user_id: int):
+    user = User.objects.get(id=user_id)
+    project = ProjectAnnotateEntities.objects.get(id=project_id)
+    docs = Document.objects.filter(id__in=doc_ids)
+
+    logger.info('Loading CAT object in bg process for project: %s', project.id)
+    cat = get_medcat(project=project)
+
+    # Set CAT filters
+    cat.config.linking['filters']['cuis'] = project.cuis
+
+    for doc in docs:
+        logger.info(f'Running MedCAT model for project {project.id}:{project.name} over doc: {doc.id}')
+        if not project.deid_model_annotation:
+            spacy_doc = cat(doc.text)
+        else:
+            deid = DeIdModel(cat)
+            spacy_doc = deid(doc.text)
+        anns = AnnotatedEntity.objects.filter(document=doc).filter(project=project)
+        with transaction.atomic():
+            add_annotations(spacy_doc=spacy_doc,
+                            user=user,
+                            project=project,
+                            document=doc,
+                            cat=cat,
+                            existing_annotations=anns)
+            # add doc to prepared_documents
+        project.prepared_documents.add(doc)
+    project.save()
+    logger.info('Prepared all docs for project: %s, docs processed: %s',
+                project.id, project.prepared_documents)
+
+
+@receiver(post_save, sender=ProjectAnnotateEntities)
+def save_project_anno(sender, instance, **kwargs):
+    if instance.cuis_file:
+        post_save.disconnect(save_project_anno, sender=ProjectAnnotateEntities)
+        cuis_from_file = json.load(open(instance.cuis_file.path))
+        cui_list = [c.strip() for c in instance.cuis.split(',')]
+        instance.cuis = ','.join(set(cui_list) - set(cuis_from_file))
+        instance.save()
+        post_save.connect(save_project_anno, sender=ProjectAnnotateEntities)
+
+
+
+def env_str_to_bool(var: str, default: bool):
+    val = os.environ.get(var, default)
+    if isinstance(val, str):
+        if val.lower() in ('1', 'true', 't', 'y'):
+            return True
+        elif val.lower() in ('0', 'false', 'f', 'n'):
+            return False
+    return val
diff --git a/v1/medcat-trainer/webapp/api/api/views.py b/v1/medcat-trainer/webapp/api/api/views.py
new file mode 100644
index 000000000..a9c35ff7c
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/api/views.py
@@ -0,0 +1,945 @@
+import traceback
+from smtplib import SMTPException
+from tempfile import NamedTemporaryFile
+
+from background_task.models import Task, CompletedTask
+from django.contrib.auth.views import PasswordResetView
+from django.core.exceptions import ObjectDoesNotExist
+from django.db import transaction
+from django.http import HttpResponseBadRequest, HttpResponseServerError, HttpResponse
+from django.shortcuts import render
+from django.utils import timezone
+from django_filters import rest_framework as drf
+from medcat.utils.helpers import tkns_from_doc
+from rest_framework import viewsets
+from rest_framework.decorators import api_view
+from rest_framework.response import Response
+from medcat.utils.ner.deid import DeIdModel
+
+from .admin import download_projects_with_text, download_projects_without_text, \
+    import_concepts_from_cdb
+from .data_utils import upload_projects_export
+from .medcat_utils import ch2pt_from_pt2ch, get_all_ch, dedupe_preserve_order, snomed_ct_concept_path
+from .metrics import calculate_metrics
+from .model_cache import get_medcat, get_cached_cdb, VOCAB_MAP, clear_cached_medcat, CAT_MAP, CDB_MAP, is_model_loaded
+from .permissions import *
+from .serializers import *
+from .solr_utils import collections_available, search_collection, ensure_concept_searchable
+from .utils import add_annotations, remove_annotations, train_medcat, create_annotation, prep_docs
+
+# For local testing, put envs
+"""
+from environs import Env
+env = Env()
+env.read_env("/home/ubuntu/projects/MedAnno/MedAnno/env_umls", recurse=False)
+print(os.environ)
+"""
+
+logger = logging.getLogger(__name__)
+
+
+# Get the basic version of MedCAT
+cat = None
+
+def index(request):
+    return render(request, 'index.html')
+
+
+class TextInFilter(drf.BaseInFilter, drf.CharFilter):
+    pass
+class NumInFilter(drf.BaseInFilter, drf.NumberFilter):
+    pass
+
+
+class UserViewSet(viewsets.ModelViewSet):
+    """
+    API endpoint that allows users to be viewed or edited.
+    """
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put']
+    queryset = User.objects.all().order_by('-date_joined')
+    serializer_class = UserSerializer
+
+    filterset_fields = ['username']
+
+
+class ProjectAnnotateEntitiesViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put']
+    queryset = ProjectAnnotateEntities.objects.all()
+    serializer_class = ProjectAnnotateEntitiesSerializer
+    filterset_fields = ['members', 'dataset', 'id', 'project_status', 'annotation_classification']
+
+    def get_queryset(self):
+        user = self.request.user
+        if user.is_superuser:
+            projects = ProjectAnnotateEntities.objects.all()
+        else:
+            projects = ProjectAnnotateEntities.objects.filter(members=user.id)
+
+        return projects
+
+
+class ProjectGroupFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = ProjectGroup
+        fields = ['id', 'name', 'description']
+
+class ProjectGroupViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = ProjectGroup.objects.all()
+    serializer_class = ProjectGroupSerializer
+    filterset_fields = ['id']
+    filterset_class = ProjectGroupFilter
+
+
+class AnnotatedEntityFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = AnnotatedEntity
+        fields = ['id', 'user', 'project', 'document', 'entity', 'validated',
+                  'deleted']
+
+
+class AnnotatedEntityViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = AnnotatedEntity.objects.all()
+    serializer_class = AnnotatedEntitySerializer
+    filterset_class = AnnotatedEntityFilter
+
+
+class MetaTaskValueViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put']
+    queryset = MetaTaskValue.objects.all()
+    serializer_class = MetaTaskValueSerializer
+
+
+class MetaTaskViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put']
+    queryset = MetaTask.objects.all()
+    serializer_class = MetaTaskSerializer
+
+
+class MetaAnnotationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'head', 'post', 'put', 'delete']
+    queryset = MetaAnnotation.objects.all()
+    serializer_class = MetaAnnotationSerializer
+    filterset_fields = ['id', 'annotated_entity', 'validated']
+
+
+class DocumentViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    queryset = Document.objects.all()
+    serializer_class = DocumentSerializer
+    filterset_fields = ['dataset']
+
+
+class EntityViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head']
+    queryset = Entity.objects.all()
+    serializer_class = EntitySerializer
+
+
+class RelationFilter(drf.FilterSet):
+    id__in = NumInFilter(field_name='id', lookup_expr='in')
+
+    class Meta:
+        model = Relation
+        fields = ['label']
+
+
+class RelationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head']
+    queryset = Relation.objects.all()
+    serializer_class = RelationSerializer
+    filterset_class = RelationFilter
+
+
+class EntityRelationViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'put', 'head', 'delete']
+    queryset = EntityRelation.objects.all()
+    serializer_class = EntityRelationSerializer
+    filterset_fields = ['project', 'document']
+
+
+class ConceptDBViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = ConceptDB.objects.all()
+    serializer_class = ConceptDBSerializer
+
+    def perform_create(self, serializer):
+        serializer.save(last_modified_by=self.request.user)
+
+
+class VocabularyViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = Vocabulary.objects.all()
+    serializer_class = VocabularySerializer
+
+
+class ModelPackViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post', 'head', 'delete']
+    queryset = ModelPack.objects.all()
+    serializer_class = ModelPackSerializer
+
+
+class DatasetViewSet(viewsets.ModelViewSet):
+    permission_classes = [permissions.IsAuthenticated]
+    http_method_names = ['get', 'post']
+    queryset = Dataset.objects.all()
+    serializer_class = DatasetSerializer
+
+
+class ResetPasswordView(PasswordResetView):
+    email_template_name = 'password_reset_email.html'
+    subject_template_name = 'password_reset_subject.txt'
+    def post(self, request, *args, **kwargs):
+        try:
+            return super().post(request, *args, **kwargs)
+        except SMTPException:
+            return HttpResponseServerError('''SMTP settings are not configured correctly. <br>
+                                           Please visit https://medcattrainer.readthedocs.io for more information to resolve this. <br>
+                                           You can also ask a question at: https://discourse.cogstack.org/c/medcat/5''')
+
+class ResetPasswordView(PasswordResetView):
+    email_template_name = 'password_reset_email.html'
+    subject_template_name = 'password_reset_subject.txt'
+    def post(self, request, *args, **kwargs):
+        try:
+            return super().post(request, *args, **kwargs)
+        except SMTPException:
+            return HttpResponseServerError('''SMTP settings are not configured correctly. <br>
+                                           Please visit https://medcattrainer.readthedocs.io for more information to resolve this. <br>
+                                           You can also ask a question at: https://discourse.cogstack.org/c/medcat/5''')
+
+
+@api_view(http_method_names=['GET'])
+def get_anno_tool_conf(_):
+    return Response({k: v for k, v in os.environ.items()})
+
+
+@api_view(http_method_names=['POST'])
+def prepare_documents(request):
+    # Get the user
+    user = request.user
+    # Get doc ids
+    d_ids = request.data['document_ids']
+
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+
+    # Is the entity creation forced
+    force = request.data.get('force', 0)
+
+    # Should we update
+    update = request.data.get('update', 0)
+
+    cuis = set()
+    if project.cuis is not None and project.cuis:
+        cuis = set([str(cui).strip() for cui in project.cuis.split(",")])
+    if project.cuis_file is not None and project.cuis_file:
+        # Add cuis from json file if it exists
+        try:
+            cuis.update(json.load(open(project.cuis_file.path)))
+        except FileNotFoundError:
+            return Response({'message': 'Missing CUI filter file',
+                                   'description': 'Missing CUI filter file, %s, cannot be found on the filesystem, '
+                                                  'but is still set on the project. To fix remove and reset the '
+                                                  'cui filter file' % project.cuis_file}, status=500)
+    try:
+        for d_id in d_ids:
+            document = Document.objects.get(id=d_id)
+            if force:
+                # Remove all annotations if creation is forced
+                remove_annotations(document, project, partial=False)
+            elif update:
+                # Remove annotations that are not verified if creation is update
+                remove_annotations(document, project, partial=True)
+
+            # Get annotated entities
+            anns = AnnotatedEntity.objects.filter(document=document).filter(project=project)
+
+            is_validated = document in project.validated_documents.all()
+
+            with transaction.atomic():
+                # If the document is not already annotated, annotate it
+                if (len(anns) == 0 and not is_validated) or update:
+                    # Based on the project id get the right medcat
+                    cat = get_medcat(project=project)
+                    logger.info('loaded medcat model for project: %s', project.id)
+
+                    # Set CAT filters
+                    cat.config.linking['filters']['cuis'] = cuis
+
+                    if not project.deid_model_annotation:
+                        spacy_doc = cat(document.text)
+                    else:
+                        deid = DeIdModel(cat)
+                        spacy_doc = deid(document.text)
+
+                    spacy_doc = cat(document.text)
+
+                    add_annotations(spacy_doc=spacy_doc,
+                                    user=user,
+                                    project=project,
+                                    document=document,
+                                    cat=cat,
+                                    existing_annotations=anns)
+
+                # add doc to prepared_documents
+                project.prepared_documents.add(document)
+                project.save()
+
+    except Exception as e:
+        stack = traceback.format_exc()
+        return Response({'message': e.args[0] if len(e.args) > 0 else 'Internal Server Error',
+                         'description': e.args[1] if len(e.args) > 1 else '',
+                         'stacktrace': stack}, status=500)
+    return Response({'message': 'Documents prepared successfully'})
+
+
+@api_view(http_method_names=['POST'])
+def prepare_documents_bg(request):
+    user = request.user
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    docs = Document.objects.filter(dataset=project.dataset)
+
+    # Get docs that have no AnnotatedEntities
+    d_ids = [d.id for d in docs if len(AnnotatedEntity.objects.filter(document=d).filter(project=project)) == 0 or
+             d in project.validated_documents.all()]
+
+    # execute model infer in bg
+    job = prep_docs(p_id, d_ids, user.id)
+    return Response({'bg_job_id': job.id})
+
+
+@api_view(http_method_names=['GET'])
+def prepare_docs_bg_tasks(_):
+    running_doc_prep_tasks = Task.objects.filter(queue='doc_prep')
+    completed_doc_prep_tasks = CompletedTask.objects.filter(queue='doc_prep')
+
+    def transform_task_params(task_params_str):
+        task_params = json.loads(task_params_str)[0]
+        return {
+            'project': task_params[0],
+            'user_id': task_params[2]
+        }
+    running_tasks = [transform_task_params(task.task_params) for task in running_doc_prep_tasks]
+    complete_tasks = [transform_task_params(task.task_params) for task in completed_doc_prep_tasks]
+    return Response({'running_tasks': running_tasks, 'comp_tasks': complete_tasks})
+
+
+@api_view(http_method_names=['GET', 'DELETE'])
+def prepare_docs_bg_task(request, proj_id):
+    if request.method == 'GET':
+        # state of bg running process as determined by prepared docs
+        try:
+            proj = ProjectAnnotateEntities.objects.get(id=proj_id)
+            prepd_docs_count = proj.prepared_documents.count()
+            ds_total_count = Document.objects.filter(dataset=ProjectAnnotateEntities.objects.get(id=proj_id).dataset.id).count()
+            return Response({'proj_id': proj_id, 'dataset_len': ds_total_count, 'prepd_docs_len': prepd_docs_count})
+        except ObjectDoesNotExist:
+            return HttpResponseBadRequest('No Project found for ID: %s', proj_id)
+    else:
+        running_doc_prep_tasks = {json.loads(task.task_params)[0][0]: task.id
+                                  for task in Task.objects.filter(queue='doc_prep')}
+        if proj_id in running_doc_prep_tasks:
+            Task.objects.filter(id=running_doc_prep_tasks[proj_id]).delete()
+            return Response("Successfully stopped running response")
+        else:
+            return HttpResponseBadRequest('Could not find running BG Process to stop')
+
+@api_view(http_method_names=['POST'])
+def add_annotation(request):
+    # Get project id
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+    source_val = request.data['source_value']
+    sel_occur_idx = int(request.data['selection_occur_idx'])
+    cui = str(request.data['cui'])
+
+    logger.debug("Annotation being added")
+    logger.debug(str(request.data))
+
+    # Get project and the right version of cat
+    user = request.user
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+
+    cat = get_medcat(project=project)
+    id = create_annotation(source_val=source_val,
+                           selection_occurrence_index=sel_occur_idx,
+                           cui=cui,
+                           user=user,
+                           project=project,
+                           document=document,
+                           cat=cat)
+    logger.debug('Annotation added.')
+    return Response({'message': 'Annotation added successfully', 'id': id})
+
+
+@api_view(http_method_names=['POST'])
+def add_concept(request):
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+    source_val = request.data['source_value']
+    sel_occur_idx = int(request.data['selection_occur_idx'])
+    name = request.data['name']
+    cui = request.data['cui']
+    context = request.data['context']
+    # TODO These aren't used, but no API in current MedCAT add_name func
+    # Add these fields to the add_name func of MedCAT add_name
+    desc = request.data['desc']
+    type_ids = request.data['type_ids']
+    s_type = request.data['type']
+    synonyms = request.data['synonyms']
+
+    user = request.user
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+    cat = get_medcat(project=project)
+
+    if cui in cat.cdb.cui2names:
+        err_msg = f'Cannot add a concept "{name}" with cui:{cui}. CUI already linked to {cat.cdb.cui2names[cui]}'
+        logger.error(err_msg)
+        return Response({'err': err_msg}, 400)
+
+    spacy_doc = cat(document.text)
+    spacy_entity = None
+    if source_val in spacy_doc.text:
+        start = spacy_doc.text.index(source_val)
+        end = start + len(source_val)
+        spacy_entity = tkns_from_doc(spacy_doc=spacy_doc, start=start, end=end)
+
+    cat.add_and_train_concept(cui=cui, name=name, name_status='P', spacy_doc=spacy_doc, spacy_entity=spacy_entity)
+
+    id = create_annotation(source_val=source_val,
+                           selection_occurrence_index=sel_occur_idx,
+                           cui=cui,
+                           user=user,
+                           project=project,
+                           document=document,
+                           cat=cat)
+
+    # ensure new concept detail is available in SOLR search service
+    ensure_concept_searchable(cui, cat.cdb, project.concept_db)
+
+    # add to project cuis if required.
+    if (project.cuis or project.cuis_file) and project.restrict_concept_lookup:
+        project.cuis = ','.join(project.cuis.split(',') + [cui])
+        project.save()
+
+    return Response({'message': 'Concept and Annotation added successfully', 'id': id})
+
+
+@api_view(http_method_names=['POST'])
+def import_cdb_concepts(request):
+    user = request.user
+    if not user.is_superuser:
+        return HttpResponseBadRequest('User is not super user, and not allowed to download project outputs')
+    cdb_id = request.data.get('cdb_id')
+    if cdb_id is None or len(ConceptDB.objects.filter(id=cdb_id)) == 0:
+        return HttpResponseBadRequest(f'No CDB found for cdb_id{cdb_id}')
+    import_concepts_from_cdb(cdb_id)
+    return Response({'message': 'submitted cdb import job.'})
+
+
+def _submit_document(project: ProjectAnnotateEntities, document: Document):
+    if project.train_model_on_submit:
+        try:
+            cat = get_medcat(project=project)
+            train_medcat(cat, project, document)
+        except Exception as e:
+            if project.vocab.id:
+                if len(VOCAB_MAP[project.vocab.id].unigram_table) == 0:
+                    return Exception('Vocab is missing the unigram table. On the vocab instance '
+                                     'use vocab.make_unigram_table() to build')
+            else:
+                raise e
+
+    # Add cuis to filter if they did not exist
+    cuis = []
+
+    if project.cuis_file is not None and project.cuis_file:
+        cuis = cuis + json.load(open(project.cuis_file.path))
+    if project.cuis is not None and project.cuis:
+        cuis = cuis + [str(cui).strip() for cui in project.cuis.split(",")]
+
+    cuis = set(cuis)
+    if len(cuis) > 0:  # only append to project cuis filter if there is a filter to begin with.
+        anns = AnnotatedEntity.objects.filter(project=project, document=document, validated=True)
+        extra_doc_cuis = [ann.entity.label for ann in anns if ann.validated and (ann.correct or ann.alternative) and
+                          ann.entity.label not in cuis]
+        if extra_doc_cuis:
+            project.cuis += ',' + ','.join(extra_doc_cuis)
+            project.save()
+
+
+@api_view(http_method_names=['POST'])
+def submit_document(request):
+    # Get project id
+    p_id = request.data['project_id']
+    d_id = request.data['document_id']
+
+    # Get project and the right version of cat
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    document = Document.objects.get(id=d_id)
+
+    try:
+        _submit_document(project, document)
+    except Exception as e:
+        HttpResponseServerError(e.message)
+
+    return Response({'message': 'Document submited successfully'})
+
+
+@api_view(http_method_names=['POST'])
+def save_models(request):
+    # Get project id
+    p_id = request.data['project_id']
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+    cat = get_medcat(project=project)
+
+    cat.cdb.save(project.concept_db.cdb_file.path)
+
+    return Response({'message': 'Models saved'})
+
+
+@api_view(http_method_names=['POST'])
+def get_create_entity(request):
+    label = request.data['label']
+    cnt = Entity.objects.filter(label=label).count()
+    id = 0
+    if cnt == 0:
+        ent = Entity()
+        ent.label = label
+        ent.save()
+        id = ent.id
+    else:
+        ent = Entity.objects.get(label=label)
+        id = ent.id
+
+    return Response({'entity_id': id})
+
+
+@api_view(http_method_names=['POST'])
+def create_dataset(request):
+    """
+    Upload a dataset and kick off document creation for each Doc. The dataset should be dict of form:
+    {
+        'name': ['name1', 'name2', 'name3', ... ],
+        'text': ['text1...', 'text2...', 'text3...', ... ]
+    }
+    Args:
+        request: the HTTP request
+    Response:
+        An HTTP resonse with the id of the created dataset
+    """
+    filename = f'{request.data["dataset_name"]}.csv'
+    logger.debug(request.data['dataset'])
+    ds = Dataset()
+    ds.name = request.data['dataset_name']
+    ds.description = request.data.get('description', 'n/a')
+    with NamedTemporaryFile(mode='r+') as f:
+        pd.DataFrame(request.data['dataset']).to_csv(f, index=False)
+        ds.original_file.save(filename, f)
+    logger.debug(f'Saved new dataset:{ds.original_file.path}')
+    id = ds.id
+    return Response({'dataset_id': id})
+
+
+@api_view(http_method_names=['GET', 'POST'])
+def update_meta_annotation(request):
+    project_id = request.data['project_id']
+    entity_id = request.data['entity_id']
+    document_id = request.data['document_id']
+    meta_task_id = request.data['meta_task_id']
+    meta_task_value = request.data['meta_task_value']
+
+    annotation = AnnotatedEntity.objects.filter(project= project_id, entity=entity_id, document=document_id)[0]
+    annotation.correct = True
+    annotation.validated = True
+    logger.debug(annotation)
+
+    annotation.save()
+
+    meta_task = MetaTask.objects.filter(id = meta_task_id)[0]
+    meta_task_value = MetaTaskValue.objects.filter(id = meta_task_value)[0]
+
+    meta_annotation_list = MetaAnnotation.objects.filter(annotated_entity = annotation)
+
+    logger.debug(meta_annotation_list)
+
+    if len(meta_annotation_list) > 0:
+        meta_annotation = meta_annotation_list[0]
+
+        meta_annotation.meta_task = meta_task
+        meta_annotation.meta_task_value = meta_task_value
+
+    else:
+        meta_annotation = MetaAnnotation()
+        meta_annotation.annotated_entity = annotation
+        meta_annotation.meta_task = meta_task
+        meta_annotation.meta_task_value = meta_task_value
+
+    logger.debug(meta_annotation)
+    meta_annotation.save()
+
+    return Response({'meta_annotation': 'added meta annotation'})
+
+
+@api_view(http_method_names=['POST'])
+def annotate_text(request):
+    p_id = request.data['project_id']
+    message = request.data['message']
+    cuis = request.data['cuis']
+    if message is None or p_id is None:
+        return HttpResponseBadRequest('No message to annotate')
+
+    project = ProjectAnnotateEntities.objects.get(id=p_id)
+
+    cat = get_medcat(project=project)
+    cat.config.linking['filters']['cuis'] = set(cuis)
+    spacy_doc = cat(message)
+
+    ents = []
+    anno_tkns = []
+    for ent in spacy_doc._.ents:
+        cnt = Entity.objects.filter(label=ent._.cui).count()
+        inc_ent = all(tkn not in anno_tkns for tkn in ent)
+        if inc_ent and cnt != 0:
+            anno_tkns.extend([tkn for tkn in ent])
+            entity = Entity.objects.get(label=ent._.cui)
+            ents.append({
+                'entity': entity.id,
+                'value': ent.text,
+                'start_ind': ent.start_char,
+                'end_ind': ent.end_char,
+                'acc': ent._.context_similarity
+            })
+
+    ents.sort(key=lambda e: e['start_ind'])
+    out = {'message': message, 'entities': ents}
+    return Response(out)
+
+
+@api_view(http_method_names=['GET'])
+def download_annos(request):
+    user = request.user
+    if not user.is_superuser:
+        return HttpResponseBadRequest('User is not super user, and not allowed to download project outputs')
+
+    p_ids = str(request.GET['project_ids']).split(',')
+    with_text_flag = request.GET.get('with_text', False)
+
+    if p_ids is None or len(p_ids) == 0:
+        return HttpResponseBadRequest('No projects to download annotations')
+
+    projects = ProjectAnnotateEntities.objects.filter(id__in=p_ids)
+
+    with_doc_name = request.GET.get('with_doc_name', False)
+    out = download_projects_with_text(projects) if with_text_flag else \
+        download_projects_without_text(projects, with_doc_name)
+    return out
+
+
+@api_view(http_method_names=['GET'])
+def behind_reverse_proxy(_):
+    return Response(bool(int(os.environ.get('BEHIND_RP', False))))
+
+
+@api_view(http_method_names=['GET'])
+def version(_):
+    return Response(os.environ.get('MCT_VERSION', ':latest'))
+
+
+@api_view(http_method_names=['GET'])
+def concept_search_index_available(request):
+    cdb_ids = request.GET.get('cdbs', '').split(',')
+    cdb_ids = [c for c in cdb_ids if len(c)]
+    try:
+        return collections_available(cdb_ids)
+    except Exception as e:
+        return HttpResponseServerError("Solr Search Service not available check the service is up, running "
+                                       "and configured correctly. %s", e)
+
+
+@api_view(http_method_names=['GET'])
+def search_solr(request):
+    query = request.GET.get('search')
+    cdbs = request.GET.get('cdbs').split(',')
+    return search_collection(cdbs, query)
+
+
+@api_view(http_method_names=['POST'])
+def upload_deployment(request):
+    deployment_upload = request.data
+    upload_projects_export(deployment_upload)
+    # logger.info(f'Errors encountered during previous deployment upload\n{errs}')
+    return Response("successfully uploaded", 200)
+
+
+@api_view(http_method_names=['GET', 'DELETE'])
+def cache_model(request, project_id):
+    try:
+        project = ProjectAnnotateEntities.objects.get(id=project_id)
+        is_loaded = is_model_loaded(project)
+        if request.method == 'GET':
+            if not is_loaded:
+                get_medcat(project)
+            return Response('success', 200)
+        elif request.method == 'DELETE':
+            if is_loaded:
+                clear_cached_medcat(project)
+            return Response('success', 200)
+        else:
+            return Response(f'Invalid method', 404)
+    except ProjectAnnotateEntities.DoesNotExist:
+        return Response(f'Project with id:{project_id} does not exist', 404)
+    except Exception as e:
+        return Response({'message': f'{str(e)}'}, 500)
+
+
+
+@api_view(http_method_names=['GET'])
+def model_loaded(_):
+    models_loaded = {}
+    for p in ProjectAnnotateEntities.objects.all():
+        models_loaded[p.id] = is_model_loaded(p)
+
+    return Response({'model_states': models_loaded})
+
+
+@api_view(http_method_names=['GET', 'POST'])
+def metrics_jobs(request):
+    dt_fmt = '%Y-%m-%d %H:%M:%S'
+    if request.method == 'GET':
+        running_metrics_tasks_qs = Task.objects.filter(queue='metrics')
+        completed_metrics_tasks = CompletedTask.objects.filter(queue='metrics')
+
+        def serialize_task(task, state):
+            return {
+                'report_id': task.id,
+                'report_name_generated': task.verbose_name,
+                'projects': task.verbose_name.split('-')[1].split('_'),
+                'created_user': task.creator.username,
+                'create_time': task.run_at.strftime(dt_fmt),
+                'status': state
+            }
+        running_reports = [serialize_task(t, 'running') for t in running_metrics_tasks_qs]
+        for r, t in zip(running_reports, running_metrics_tasks_qs):
+            if t.locked_by is None and t.locked_by_pid_running() is None:
+                r['status'] = 'pending'
+
+        comp_reports = [serialize_task(t, 'complete') for t in completed_metrics_tasks]
+        for comp_task, comp_rep in zip(completed_metrics_tasks, comp_reports):
+            pm_obj = ProjectMetrics.objects.filter(report_name_generated=comp_task.verbose_name).first()
+            if pm_obj is not None and pm_obj.report_name is not None:
+                comp_rep['report_name'] = pm_obj.report_name
+        reports = running_reports + comp_reports
+        return Response({'reports': reports})
+    elif request.method == 'POST':
+        now = timezone.now()
+        user = request.user
+        p_ids = request.data.get('projectIds').split(',')
+        projects = ProjectAnnotateEntities.objects.filter(id__in=p_ids)
+
+        # provide warning of inconsistent models used or for models that are not loaded.
+        p_cdbs = set(p.concept_db for p in projects)
+        if len(p_cdbs) > 1:
+            logger.warning('Inconsistent CDBs used in the generation of metrics - should use the same CDB for '
+                           f'consistent results - found {[cdb.name for cdb in p_cdbs]} - metrics will only use the first'
+                           f' CDB {projects[0].concept_db.name}')
+
+        report_name = f'metrics-{"_".join(p_ids)}-{now.strftime(dt_fmt)}'
+        submitted_job = calculate_metrics([p.id for p in projects],
+                                          verbose_name=report_name,
+                                          creator=user,
+                                          report_name=report_name)
+        return Response({'metrics_job_id': submitted_job.id, 'metrics_job_name': report_name})
+
+
+@api_view(http_method_names=['DELETE'])
+def remove_metrics_job(request, report_id: int):
+    running_metrics_tasks_qs = {t.id: t for t in Task.objects.filter(queue='metrics')}
+    completed_metrics_tasks = {t.id: t for t in CompletedTask.objects.filter(queue='metrics')}
+    if report_id in running_metrics_tasks_qs:
+        # remove completed task and associated report
+        task = running_metrics_tasks_qs[report_id]
+        if task.locked_by and task.locked_by_pid_running():
+            logger.info('Will not kill running process - report ID: %s', report_id)
+            return Response(503, 'Unable to remove a running metrics report job. Please wait until it '
+                                 'completes then remove.')
+        else:
+            logger.info('Metrics job deleted - report ID: %s', report_id)
+    elif report_id in completed_metrics_tasks:
+        task = completed_metrics_tasks[report_id]
+        try:
+            pm = ProjectMetrics.objects.filter(report_name_generated=task.verbose_name).first()
+            if os.path.isfile(pm.report.path):
+                os.remove(pm.report.path)
+            pm.delete()
+        except Exception as e:
+            pass
+        task.delete()
+        logger.info('Completed metrics job deleted - report ID: %s', report_id)
+        return Response('task / report deleted', 200)
+
+
+@api_view(http_method_names=['GET', 'PUT'])
+def view_metrics(request, report_id):
+    if request.method == 'GET':
+        running_pending_report = Task.objects.filter(id=report_id, queue='metrics').first()
+        completed_report = CompletedTask.objects.filter(id=report_id, queue='metrics').first()
+        if running_pending_report is None and completed_report is None:
+            HttpResponseBadRequest(f'Cannot find report_id:{report_id} in either pending, running or complete report lists. ')
+        elif running_pending_report is not None:
+            HttpResponseBadRequest(f'Cannot view a running or pending metrics report with id:{report_id}')
+        pm_obj = ProjectMetrics.objects.filter(report_name_generated=completed_report.verbose_name).first()
+        out = {
+            'results': {
+                'report_name': pm_obj.report_name,
+                'report_name_generated': pm_obj.report_name_generated,
+                **json.load(open(pm_obj.report.path))
+            }
+        }
+        return Response(out)
+    elif request.method == 'PUT':
+        completed_report = CompletedTask.objects.filter(id=report_id, queue='metrics').first()
+        pm_obj = ProjectMetrics.objects.filter(report_name_generated=completed_report.verbose_name).first()
+        pm_obj.report_name = request.data.get('report_name')
+        pm_obj.save()
+        return Response(200)
+
+
+@api_view(http_method_names=['GET'])
+def cdb_cui_children(request, cdb_id):
+    parent_cui = request.GET.get('parent_cui')
+    cdb = get_cached_cdb(cdb_id, CDB_MAP)
+
+    # root SNOMED CT code: 138875005
+    # root UMLS code: CUI:
+
+    if cdb.addl_info.get('pt2ch') is None:
+        return HttpResponseBadRequest('Requested MedCAT CDB model does not include parent2child metadata to'
+                                      ' explore a concept hierarchy')
+
+    # currently assumes this is using the SNOMED CT terminology
+    try:
+        root_term = {'cui': '138875005', 'pretty_name': cdb.cui2preferred_name['138875005']}
+        if parent_cui is None:
+            return Response({'results': [root_term]})
+        else:
+            child_concepts = [{'cui': cui, 'pretty_name': cdb.cui2preferred_name[cui]}
+                              for cui in cdb.addl_info.get('pt2ch')[parent_cui]]
+            return Response({'results': child_concepts})
+    except KeyError:
+        return Response({'results': []})
+
+
+@api_view(http_method_names=['GET'])
+def cdb_concept_path(request):
+    cdb_id = int(request.GET.get('cdb_id'))
+    cdb = get_cached_cdb(cdb_id, CDB_MAP)
+    if not cdb.addl_info.get('ch2pt'):
+        cdb.addl_info['ch2pt'] = ch2pt_from_pt2ch(cdb)
+    cui = request.GET.get('cui')
+    # Again only SNOMED CT is supported
+    # 'cui': '138875005',
+    result = snomed_ct_concept_path(cui, cdb)
+    return Response({'results': result})
+
+
+@api_view(http_method_names=['POST'])
+def generate_concept_filter_flat_json(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    excluded_nodes = request.data.get('excluded_nodes', [])
+    if cuis is not None and cdb_id is not None:
+        cdb = get_cached_cdb(cdb_id, CDB_MAP)
+        # get all children from 'parent' concepts above.
+        final_filter = []
+        for cui in cuis:
+            ch_nodes = get_all_ch(cui, cdb)
+            final_filter += [n for n in ch_nodes if n not in excluded_nodes]
+        final_filter = dedupe_preserve_order(final_filter)
+        filter_json = json.dumps(final_filter)
+        response = HttpResponse(filter_json, content_type='application/json')
+        response['Content-Disposition'] = 'attachment; filename=filter.json'
+        return response
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot generate filter.')
+
+
+@api_view(http_method_names=['POST'])
+def generate_concept_filter(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    if cuis is not None and cdb_id is not None:
+        cdb = get_cached_cdb(cdb_id, CDB_MAP)
+        # get all children from 'parent' concepts above.
+        final_filter = {}
+        for cui in cuis:
+            final_filter[cui] = [{'cui': c, 'pretty_name': cdb.cui2preferred_name[c]} for c in get_all_ch(cui, cdb)
+                                 if c in cdb.cui2preferred_name and c != cui]
+        resp = {'filter_len': sum(len(f) for f in final_filter.values()) + len(final_filter.keys())}
+        if resp['filter_len'] < 10000:
+            # only send across concept filters that are small enough to render
+            resp['filter'] = final_filter
+        return Response(resp)
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot generate filter.')
+
+
+@api_view(http_method_names=['POST'])
+def cuis_to_concepts(request):
+    cuis = request.data.get('cuis')
+    cdb_id = request.data.get('cdb_id')
+    if cdb_id is not None:
+        if cuis is not None:
+            cdb = get_cached_cdb(cdb_id, CDB_MAP)
+            concept_list = [{'cui': cui, 'name': cdb.cui2preferred_name[cui]} for cui in cuis]
+            resp = {'concept_list': concept_list}
+            return Response(resp)
+        else:
+            cdb = get_cached_cdb(cdb_id, CDB_MAP)
+            concept_list = [{'cui': cui, 'name': cdb.cui2preferred_name[cui]} for cui in cdb.cui2preferred_name.keys()]
+            resp = {'concept_list': concept_list}
+            return Response(resp)
+    return HttpResponseBadRequest('Missing either cuis or cdb_id param. Cannot produce concept list.')
+
+
+@api_view(http_method_names=['GET'])
+def project_progress(request):
+    if request.GET.get('projects') is None:
+        return HttpResponseBadRequest('Cannot get progress for empty projects')
+
+    projects = [int(p) for p in request.GET.get('projects', []).split(',')]
+
+    projects2datasets = {p.id: (p, p.dataset) for p in [ProjectAnnotateEntities.objects.filter(id=p_id).first()
+                                                        for p_id in projects]}
+
+    out = {}
+    ds_doc_counts = {}
+    for p, (proj, ds) in projects2datasets.items():
+        val_docs = proj.validated_documents.count()
+        ds_doc_count = ds_doc_counts.get(ds.id)
+        if ds_doc_count is None:
+            ds_doc_count = Document.objects.filter(dataset=ds).count()
+            ds_doc_counts[ds.id] = ds_doc_count
+        out[p] = {'validated_count': val_docs, 'dataset_count': ds_doc_count}
+
+    return Response(out)
diff --git a/medcat-v1/tests/preprocessing/__init__.py b/v1/medcat-trainer/webapp/api/core/__init__.py
similarity index 100%
rename from medcat-v1/tests/preprocessing/__init__.py
rename to v1/medcat-trainer/webapp/api/core/__init__.py
diff --git a/v1/medcat-trainer/webapp/api/core/settings.py b/v1/medcat-trainer/webapp/api/core/settings.py
new file mode 100644
index 000000000..c77c837ef
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/core/settings.py
@@ -0,0 +1,218 @@
+"""
+Django settings for MedCATtrainer project.
+
+Generated by 'django-admin startproject' using Django 2.2.3.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/2.2/topics/settings/
+
+For the full list of settings and their values, see
+https://docs.djangoproject.com/en/2.2/ref/settings/
+"""
+import logging
+import os
+import sys
+
+log = logging.getLogger(__name__)
+
+DEFAULT_AUTO_FIELD = 'django.db.models.AutoField'
+
+# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+environ_origins = os.environ.get('CSRF_TRUSTED_ORIGINS', '')
+trusted_origins = [origin.strip() for origin in environ_origins.split(',') if origin.strip()]
+
+CSRF_TRUSTED_ORIGINS = ['http://127.0.0.1:8001', 'http://localhost:8001'] + trusted_origins
+
+SECURE_CROSS_ORIGIN_OPENER_POLICY = None
+
+# SECURITY WARNING: keep the secret key used in production secret!
+realm = os.environ.get('ENV', 'non-prod')
+secret_key = os.environ.get('SECRET_KEY')
+if realm == 'prod' and secret_key is None:
+    msg = 'No SECRET_KEY environment variable found for prod environment. Please add a secret key and re-run'
+    log.error(msg)
+    sys.exit(msg)
+else:
+    log.info('Running non-prod environment, defaulting django SECRET_KEY')
+    SECRET_KEY = 'q$&esydgbn2=#-k5s5i(+^dtxs1@$50_(ln0wuw@zig4m&^m7='
+
+# SECURITY WARNING: don't run with debug turned on in production!
+try:
+    DEBUG = bool(int(os.environ.get('DEBUG', 1)))
+    if realm == 'prod' and DEBUG:
+        log.warning('Running in prod realm with DEBUG=True, are you sure you want to do that?')
+except ValueError as e:
+    log.error('Error parsing DEBUG env, setting DEBUG to True. DEBUG env var should be set to 0 (false) or 1 (true).')
+    DEBUG = True
+
+ALLOWED_HOSTS = ['*']
+
+APPEND_SLASH = True
+
+# Application definition
+
+INSTALLED_APPS = [
+    'django.contrib.admin',
+    'django.contrib.auth',
+    'django.contrib.contenttypes',
+    'django.contrib.sessions',
+    'django.contrib.messages',
+    'django.contrib.staticfiles',
+    'rest_framework',
+    'rest_framework.authtoken',
+    'django_filters',
+    'background_task',
+    'api',
+]
+
+MIDDLEWARE = [
+    'django.middleware.security.SecurityMiddleware',
+    'django.contrib.sessions.middleware.SessionMiddleware',
+    'django.middleware.common.CommonMiddleware',
+    'django.middleware.csrf.CsrfViewMiddleware',
+    'django.contrib.auth.middleware.AuthenticationMiddleware',
+    'django.contrib.messages.middleware.MessageMiddleware',
+    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+]
+
+ROOT_URLCONF = 'core.urls'
+
+TEMPLATES = [
+    {
+        'BACKEND': 'django.template.backends.django.DjangoTemplates',
+        'DIRS': [
+            os.path.join(BASE_DIR, "..", "frontend", "dist"),
+            os.path.join(BASE_DIR, "..", "templates", "registration")
+            ],
+        'APP_DIRS': True,
+        'OPTIONS': {
+            'context_processors': [
+                'django.template.context_processors.debug',
+                'django.template.context_processors.request',
+                'django.contrib.auth.context_processors.auth',
+                'django.contrib.messages.context_processors.messages',
+            ],
+        },
+    },
+]
+
+LOGGING = {
+    'version': 1,
+    'disable_existing_loggers': False,
+    'formatters': {
+        'simple': {
+            'format': '{levelname} {asctime} {module}.py l:{lineno}:{message}',
+            'style': '{',
+        },
+    },
+    'handlers': {
+        'console': {
+            'class': 'logging.StreamHandler',
+            'formatter': 'simple',
+        },
+    },
+    'root': {
+        'handlers': ['console'],
+        'level': os.getenv('DJANGO_LOG_LEVEL', 'INFO'),
+    }
+}
+
+
+WSGI_APPLICATION = 'core.wsgi.application'
+
+
+# Database
+# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
+
+DATABASES = {
+    'default': {
+        'ENGINE': 'django.db.backends.sqlite3',
+        'NAME': os.path.join(BASE_DIR, 'db/db.sqlite3'),
+        'OPTIONS': {
+            'timeout': 20,
+            'transaction_mode': 'IMMEDIATE'
+        }
+    }
+}
+
+
+# Password validation
+# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
+
+AUTH_PASSWORD_VALIDATORS = [
+    {
+        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+    },
+]
+
+REST_FRAMEWORK = {
+    'DEFAULT_FILTER_BACKENDS': ['django_filters.rest_framework.DjangoFilterBackend'],
+    'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination',
+    'PAGE_SIZE': 100,
+    'DEFAULT_AUTHENTICATION_CLASSES': [
+        'rest_framework.authentication.TokenAuthentication'
+    ]
+}
+
+
+# Internationalization
+# https://docs.djangoproject.com/en/2.2/topics/i18n/
+
+LANGUAGE_CODE = 'en-us'
+
+TIME_ZONE = 'UTC'
+
+USE_I18N = True
+
+USE_L10N = True
+
+USE_TZ = True
+
+
+# Static files (CSS, JavaScript, Images)
+# https://docs.djangoproject.com/en/2.2/howto/static-files/
+
+MEDIA_URL = '/media/'
+STATIC_URL = '/static/'
+MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
+STATIC_ROOT = os.path.join(BASE_DIR, 'static')
+
+FILE_UPLOAD_PERMISSIONS = 0o644
+
+STATICFILES_DIRS = [
+    os.path.join(BASE_DIR, "..", "frontend", "dist", "static"),
+]
+
+# BG TASKS
+MAX_ATTEMPTS = 1
+MAX_RUN_TIME = 60*60*10
+BACKGROUND_TASK_RUN_ASYNC = True
+BACKGROUND_TASK_ASYNC_THREADS = 4
+
+
+# Solr Concept Search settings
+SOLR_HOST = os.environ.get('CONCEPT_SEARCH_SERVICE_HOST', 'solr')
+SOLR_PORT = os.environ.get('CONCEPT_SEARCH_SERVICE_PORT', '8983')
+
+SILENCED_SYSTEM_CHECKS = ['admin.E130']
+
+# For testing only
+# EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
+
+EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend'
+EMAIL_HOST = os.environ.get('EMAIL_HOST')
+EMAIL_PORT = os.environ.get('EMAIL_PORT')
+EMAIL_HOST_USER = os.environ.get('EMAIL_USER')
+EMAIL_HOST_PASSWORD = os.environ.get('EMAIL_PASS')
+EMAIL_USE_TLS = True
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/api/core/urls.py b/v1/medcat-trainer/webapp/api/core/urls.py
new file mode 100644
index 000000000..2117749cd
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/core/urls.py
@@ -0,0 +1,67 @@
+from django.contrib import admin
+from django.contrib.auth import views as pw_views
+from django.urls import path, include, re_path
+from rest_framework.authtoken import views as auth_views
+from rest_framework import routers
+import api.views
+
+router = routers.DefaultRouter()
+router.register(r'users', api.views.UserViewSet)
+router.register(r'entities', api.views.EntityViewSet)
+router.register(r'project-annotate-entities', api.views.ProjectAnnotateEntitiesViewSet)
+router.register(r'project-groups', api.views.ProjectGroupViewSet)
+router.register(r'documents', api.views.DocumentViewSet)
+router.register(r'annotated-entities', api.views.AnnotatedEntityViewSet)
+router.register(r'meta-annotations', api.views.MetaAnnotationViewSet)
+router.register(r'meta-tasks', api.views.MetaTaskViewSet)
+router.register(r'meta-task-values', api.views.MetaTaskValueViewSet)
+router.register(r'relations', api.views.RelationViewSet)
+router.register(r'entity-relations', api.views.EntityRelationViewSet)
+router.register(r'concept-dbs', api.views.ConceptDBViewSet)
+router.register(r'vocabs', api.views.VocabularyViewSet)
+router.register(r'modelpacks', api.views.ModelPackViewSet)
+router.register(r'datasets', api.views.DatasetViewSet)
+
+
+urlpatterns = [
+    path('api/', include(router.urls)),
+    path('api/anno-conf/', api.views.get_anno_tool_conf),
+    path('api/search-concepts/', api.views.search_solr),
+    path('api/prepare-documents/', api.views.prepare_documents),
+    path('api/prepare-documents-bg/', api.views.prepare_documents_bg),
+    path('api/prep-docs-bg-tasks/', api.views.prepare_docs_bg_tasks),
+    path('api/prep-docs-bg-tasks/<int:proj_id>/', api.views.prepare_docs_bg_task),
+    path('api/api-token-auth/', auth_views.obtain_auth_token),
+    path('admin/', admin.site.urls),
+    path('api/api-auth/', include('rest_framework.urls', namespace='rest_framework')),
+    path('api/add-annotation/', api.views.add_annotation),
+    path('api/add-concept/', api.views.add_concept),
+    path('api/import-cdb-concepts/', api.views.import_cdb_concepts),
+    path('api/submit-document/', api.views.submit_document),
+    path('api/save-models/', api.views.save_models),
+    path('api/get-create-entity/', api.views.get_create_entity),
+    path('api/create-dataset/', api.views.create_dataset),
+    path('api/update-meta-annotation/', api.views.update_meta_annotation),
+    path('api/annotate-text/', api.views.annotate_text),
+    path('api/download-annos/', api.views.download_annos),
+    path('api/behind-rp/', api.views.behind_reverse_proxy),
+    path('api/version/', api.views.version),
+    path('api/project-progress/', api.views.project_progress),
+    path('api/concept-db-search-index-created/', api.views.concept_search_index_available),
+    path('api/model-loaded/', api.views.model_loaded),
+    path('api/cache-model/<int:project_id>/', api.views.cache_model),
+    path('api/upload-deployment/', api.views.upload_deployment),
+    path('api/model-concept-children/<int:cdb_id>/', api.views.cdb_cui_children),
+    path('api/metrics/<int:report_id>/', api.views.view_metrics),
+    path('api/metrics-job/', api.views.metrics_jobs),
+    path('api/metrics-job/<int:report_id>/', api.views.remove_metrics_job),
+    path('api/concept-path/', api.views.cdb_concept_path),
+    path('api/generate-concept-filter-json/', api.views.generate_concept_filter_flat_json),
+    path('api/generate-concept-filter/', api.views.generate_concept_filter),
+    path('api/cuis-to-concepts/', api.views.cuis_to_concepts),
+    path('reset_password/', api.views.ResetPasswordView.as_view(), name='reset_password'),
+    path('reset_password_sent/', pw_views.PasswordResetDoneView.as_view(), name='password_reset_done'),
+    path('reset/<uidb64>/<token>', pw_views.PasswordResetConfirmView.as_view(), name='password_reset_confirm'),
+    path('reset_password_complete/', pw_views.PasswordResetCompleteView.as_view(), name='password_reset_complete'),
+    re_path('^.*$', api.views.index, name='index'),  # Match everything else to home
+]
diff --git a/v1/medcat-trainer/webapp/api/core/wsgi.py b/v1/medcat-trainer/webapp/api/core/wsgi.py
new file mode 100644
index 000000000..84259580e
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/core/wsgi.py
@@ -0,0 +1,16 @@
+"""
+WSGI config for MedCATTrainer project.
+
+It exposes the WSGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
+"""
+
+import os
+
+from django.core.wsgi import get_wsgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
+
+application = get_wsgi_application()
diff --git a/medcat-v1/tests/stats/__init__.py b/v1/medcat-trainer/webapp/api/db-backup/.keep
similarity index 100%
rename from medcat-v1/tests/stats/__init__.py
rename to v1/medcat-trainer/webapp/api/db-backup/.keep
diff --git a/medcat-v1/tests/utils/__init__.py b/v1/medcat-trainer/webapp/api/db/.keep
old mode 100644
new mode 100755
similarity index 100%
rename from medcat-v1/tests/utils/__init__.py
rename to v1/medcat-trainer/webapp/api/db/.keep
diff --git a/v1/medcat-trainer/webapp/api/manage.py b/v1/medcat-trainer/webapp/api/manage.py
new file mode 100755
index 000000000..84923e444
--- /dev/null
+++ b/v1/medcat-trainer/webapp/api/manage.py
@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+"""Django's command-line utility for administrative tasks."""
+import os
+import sys
+
+
+def main():
+    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
+    try:
+        from django.core.management import execute_from_command_line
+    except ImportError as exc:
+        raise ImportError(
+            "Couldn't import Django. Are you sure it's installed and "
+            "available on your PYTHONPATH environment variable? Did you "
+            "forget to activate a virtual environment?"
+        ) from exc
+    execute_from_command_line(sys.argv)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/medcat-v1/tests/utils/ner/__init__.py b/v1/medcat-trainer/webapp/api/media/.keep
similarity index 100%
rename from medcat-v1/tests/utils/ner/__init__.py
rename to v1/medcat-trainer/webapp/api/media/.keep
diff --git a/medcat-v1/tests/utils/regression/__init__.py b/v1/medcat-trainer/webapp/api/static/.keep
similarity index 100%
rename from medcat-v1/tests/utils/regression/__init__.py
rename to v1/medcat-trainer/webapp/api/static/.keep
diff --git a/v1/medcat-trainer/webapp/frontend/.editorconfig b/v1/medcat-trainer/webapp/frontend/.editorconfig
new file mode 100644
index 000000000..ecea360f1
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/.editorconfig
@@ -0,0 +1,6 @@
+[*.{js,jsx,mjs,cjs,ts,tsx,mts,cts,vue}]
+charset = utf-8
+indent_size = 2
+indent_style = space
+insert_final_newline = true
+trim_trailing_whitespace = true
diff --git a/v1/medcat-trainer/webapp/frontend/.gitignore b/v1/medcat-trainer/webapp/frontend/.gitignore
new file mode 100644
index 000000000..8ee54e8d3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/.gitignore
@@ -0,0 +1,30 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+.DS_Store
+dist
+dist-ssr
+coverage
+*.local
+
+/cypress/videos/
+/cypress/screenshots/
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+*.tsbuildinfo
diff --git a/v1/medcat-trainer/webapp/frontend/.prettierrc.json b/v1/medcat-trainer/webapp/frontend/.prettierrc.json
new file mode 100644
index 000000000..effc164a5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/.prettierrc.json
@@ -0,0 +1,7 @@
+
+{
+  "$schema": "https://json.schemastore.org/prettierrc",
+  "semi": false,
+  "singleQuote": true,
+  "arrowParens": "avoid"
+}
diff --git a/v1/medcat-trainer/webapp/frontend/.vscode/extensions.json b/v1/medcat-trainer/webapp/frontend/.vscode/extensions.json
new file mode 100644
index 000000000..a06a8c699
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/.vscode/extensions.json
@@ -0,0 +1,9 @@
+{
+  "recommendations": [
+    "Vue.volar",
+    "vitest.explorer",
+    "dbaeumer.vscode-eslint",
+    "EditorConfig.EditorConfig",
+    "esbenp.prettier-vscode"
+  ]
+}
diff --git a/v1/medcat-trainer/webapp/frontend/README.md b/v1/medcat-trainer/webapp/frontend/README.md
new file mode 100644
index 000000000..c899cc1e2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/README.md
@@ -0,0 +1,45 @@
+# frontend2
+
+This template should help get you started developing with Vue 3 in Vite.
+
+## Recommended IDE Setup
+
+[VSCode](https://code.visualstudio.com/) + [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) (and disable Vetur).
+
+## Type Support for `.vue` Imports in TS
+
+TypeScript cannot handle type information for `.vue` imports by default, so we replace the `tsc` CLI with `vue-tsc` for type checking. In editors, we need [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) to make the TypeScript language service aware of `.vue` types.
+
+## Customize configuration
+
+See [Vite Configuration Reference](https://vite.dev/config/).
+
+## Project Setup
+
+```sh
+npm install
+```
+
+### Compile and Hot-Reload for Development
+
+```sh
+npm run dev
+```
+
+### Type-Check, Compile and Minify for Production
+
+```sh
+npm run build
+```
+
+### Run Unit Tests with [Vitest](https://vitest.dev/)
+
+```sh
+npm run test:unit
+```
+
+### Lint with [ESLint](https://eslint.org/)
+
+```sh
+npm run lint
+```
diff --git a/v1/medcat-trainer/webapp/frontend/env.d.ts b/v1/medcat-trainer/webapp/frontend/env.d.ts
new file mode 100644
index 000000000..11f02fe2a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/env.d.ts
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
diff --git a/v1/medcat-trainer/webapp/frontend/eslint.config.js b/v1/medcat-trainer/webapp/frontend/eslint.config.js
new file mode 100644
index 000000000..40b84cd9d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/eslint.config.js
@@ -0,0 +1,25 @@
+import pluginVue from 'eslint-plugin-vue'
+import vueTsEslintConfig from '@vue/eslint-config-typescript'
+import pluginVitest from '@vitest/eslint-plugin'
+import skipFormatting from '@vue/eslint-config-prettier/skip-formatting'
+
+export default [
+  {
+    name: 'app/files-to-lint',
+    files: ['**/*.{ts,mts,tsx,vue}'],
+  },
+
+  {
+    name: 'app/files-to-ignore',
+    ignores: ['**/dist/**', '**/dist-ssr/**', '**/coverage/**'],
+  },
+
+  ...pluginVue.configs['flat/essential'],
+  ...vueTsEslintConfig(),
+  
+  {
+    ...pluginVitest.configs.recommended,
+    files: ['src/**/__tests__/*'],
+  },
+  skipFormatting,
+]
diff --git a/v1/medcat-trainer/webapp/frontend/index.html b/v1/medcat-trainer/webapp/frontend/index.html
new file mode 100644
index 000000000..b37c16493
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/index.html
@@ -0,0 +1,16 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8">
+    <link rel="shortcut icon" href="/favicon.ico">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>MedCATTrainer</title>
+          <style>
          .commit-tease,
          .user-profile-mini-avatar,
          .avatar,
          .vcard-details,
          .signup-prompt-bg {
            display: none !IMPORTANT;
          }
        </style>
         <script>
          document.addEventListener('DOMContentLoaded', function() {
            this.querySelectorAll('a').forEach(anchor => {
              anchor.addEventListener('click', e => {
                e.preventDefault();

                const redact = new URLSearchParams(window.location.search).get('redact');
                const hasExistingParams = anchor.href.includes('?');
                window.location.href = anchor.href + (hasExistingParams ? `&redact=${redact}` : `?redact=${redact}`);
              });
            });
          });
        </script>
 </head>
+  <body>
+    <noscript>
+      <strong>We're sorry but MedCATTrainer doesn't work properly without JavaScript enabled. Please enable it to continue.</strong>
+    </noscript>
+    <div id="app"></div>
+    <script type="module" src="/src/main.ts"></script>
+  </body>
+</html>
diff --git a/v1/medcat-trainer/webapp/frontend/package-lock.json b/v1/medcat-trainer/webapp/frontend/package-lock.json
new file mode 100644
index 000000000..18b649a81
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/package-lock.json
@@ -0,0 +1,7165 @@
+{
+  "name": "frontend2",
+  "version": "0.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "frontend2",
+      "version": "0.0.0",
+      "dependencies": {
+        "@fortawesome/fontawesome-svg-core": "^6.6.0",
+        "@fortawesome/free-brands-svg-icons": "^6.6.0",
+        "@fortawesome/free-regular-svg-icons": "^6.6.0",
+        "@fortawesome/free-solid-svg-icons": "^6.6.0",
+        "@fortawesome/vue-fontawesome": "^3.0.8",
+        "@ssthouse/vue3-tree-chart": "^0.2.6",
+        "axios": "^1.8.2",
+        "bootstrap": "^5.3.3",
+        "plotly.js-dist": "^3.0.0",
+        "splitpanes": "^3.1.5",
+        "tiny-emitter": "^2.1.0",
+        "v-runtime-template": "^1.10.0",
+        "vue": "^3.5.12",
+        "vue-cookies": "^1.8.4",
+        "vue-router": "^4.4.5",
+        "vue-select": "^4.0.0-beta.6",
+        "vue-sidebar-menu": "^5.4.2",
+        "vue-simple-context-menu": "^4.1.0",
+        "vue3-runtime-template": "^1.0.2",
+        "vuetify": "^3.7.3"
+      },
+      "devDependencies": {
+        "@tsconfig/node20": "^20.1.4",
+        "@types/jsdom": "^21.1.7",
+        "@types/node": "^20.17.0",
+        "@vitejs/plugin-vue": "^5.1.4",
+        "@vitest/eslint-plugin": "1.1.7",
+        "@vue/eslint-config-prettier": "^10.0.0",
+        "@vue/eslint-config-typescript": "^14.1.1",
+        "@vue/test-utils": "^2.4.6",
+        "@vue/tsconfig": "^0.5.1",
+        "eslint": "^9.13.0",
+        "eslint-plugin-vue": "^9.29.0",
+        "jsdom": "^25.0.1",
+        "npm-run-all2": "^7.0.1",
+        "prettier": "^3.3.3",
+        "sass": "1.77.6",
+        "typescript": "~5.6.0",
+        "vite": "^6.3.4",
+        "vite-plugin-vue-devtools": "^7.5.3",
+        "vitest": "^3.1.1",
+        "vue-tsc": "^2.1.6"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
+      "dev": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@antfu/utils": {
+      "version": "0.7.10",
+      "resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-0.7.10.tgz",
+      "integrity": "sha512-+562v9k4aI80m1+VuMHehNJWLOFjBnXn3tdOitzD0il5b7smkSBal4+a3oKiQTbrwMmN/TBUMDvbdoWDehgOww==",
+      "dev": true,
+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/antfu"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.26.2",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
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+        "picocolors": "^1.0.0"
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
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+      "license": "MIT",
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+        "@babel/code-frame": "^7.26.2",
+        "@babel/generator": "^7.26.10",
+        "@babel/helper-compilation-targets": "^7.26.5",
+        "@babel/helper-module-transforms": "^7.26.0",
+        "@babel/helpers": "^7.26.10",
+        "@babel/parser": "^7.26.10",
+        "@babel/template": "^7.26.9",
+        "@babel/traverse": "^7.26.10",
+        "@babel/types": "^7.26.10",
+        "convert-source-map": "^2.0.0",
+        "debug": "^4.1.0",
+        "gensync": "^1.0.0-beta.2",
+        "json5": "^2.2.3",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
+      }
+    },
+    "node_modules/@babel/core/node_modules/semver": {
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
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+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
+    "node_modules/@babel/generator": {
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.27.0.tgz",
+      "integrity": "sha512-VybsKvpiN1gU1sdMZIp7FcqphVVKEwcuj02x73uvcHE0PTihx1nlBcowYWhDwjpoAXRv43+gDzyggGnn1XZhVw==",
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+      "license": "MIT",
+      "dependencies": {
+        "@babel/parser": "^7.27.0",
+        "@babel/types": "^7.27.0",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
+        "jsesc": "^3.0.2"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-annotate-as-pure": {
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.25.9.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/types": "^7.25.9"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets": {
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.27.0.tgz",
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+      "license": "MIT",
+      "dependencies": {
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+        "@babel/helper-validator-option": "^7.25.9",
+        "browserslist": "^4.24.0",
+        "lru-cache": "^5.1.1",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets/node_modules/lru-cache": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
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+      "dev": true,
+      "license": "ISC",
+      "dependencies": {
+        "yallist": "^3.0.2"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets/node_modules/semver": {
+      "version": "6.3.1",
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+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
+    "node_modules/@babel/helper-create-class-features-plugin": {
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.27.0.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-annotate-as-pure": "^7.25.9",
+        "@babel/helper-member-expression-to-functions": "^7.25.9",
+        "@babel/helper-optimise-call-expression": "^7.25.9",
+        "@babel/helper-replace-supers": "^7.26.5",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.25.9",
+        "@babel/traverse": "^7.27.0",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
+      }
+    },
+    "node_modules/@babel/helper-create-class-features-plugin/node_modules/semver": {
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
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+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
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+        "utf-8-validate": {
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+      },
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+      }
+    },
+    "node_modules/yoctocolors": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.1.tgz",
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+      "license": "MIT",
+      "engines": {
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+    }
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/package.json b/v1/medcat-trainer/webapp/frontend/package.json
new file mode 100644
index 000000000..97d960598
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/package.json
@@ -0,0 +1,60 @@
+{
+  "name": "frontend2",
+  "version": "0.0.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "run-p type-check \"build-only {@}\" --",
+    "preview": "vite preview",
+    "test:unit": "vitest",
+    "build-only": "vite build",
+    "type-check": "vue-tsc --build --force",
+    "lint": "eslint . --fix",
+    "format": "prettier --write src/"
+  },
+  "dependencies": {
+    "@fortawesome/fontawesome-svg-core": "^6.6.0",
+    "@fortawesome/free-brands-svg-icons": "^6.6.0",
+    "@fortawesome/free-regular-svg-icons": "^6.6.0",
+    "@fortawesome/free-solid-svg-icons": "^6.6.0",
+    "@fortawesome/vue-fontawesome": "^3.0.8",
+    "@ssthouse/vue3-tree-chart": "^0.2.6",
+    "axios": "^1.8.2",
+    "bootstrap": "^5.3.3",
+    "plotly.js-dist": "^3.0.0",
+    "splitpanes": "^3.1.5",
+    "tiny-emitter": "^2.1.0",
+    "v-runtime-template": "^1.10.0",
+    "vue": "^3.5.12",
+    "vue-cookies": "^1.8.4",
+    "vue-router": "^4.4.5",
+    "vue-select": "^4.0.0-beta.6",
+    "vue-sidebar-menu": "^5.4.2",
+    "vue-simple-context-menu": "^4.1.0",
+    "vue3-runtime-template": "^1.0.2",
+    "vuetify": "^3.7.3"
+  },
+  "devDependencies": {
+    "@tsconfig/node20": "^20.1.4",
+    "@types/jsdom": "^21.1.7",
+    "@types/node": "^20.17.0",
+    "@vitejs/plugin-vue": "^5.1.4",
+    "@vitest/eslint-plugin": "1.1.7",
+    "@vue/eslint-config-prettier": "^10.0.0",
+    "@vue/eslint-config-typescript": "^14.1.1",
+    "@vue/test-utils": "^2.4.6",
+    "@vue/tsconfig": "^0.5.1",
+    "eslint": "^9.13.0",
+    "eslint-plugin-vue": "^9.29.0",
+    "jsdom": "^25.0.1",
+    "npm-run-all2": "^7.0.1",
+    "prettier": "^3.3.3",
+    "sass": "1.77.6",
+    "typescript": "~5.6.0",
+    "vite": "^6.3.4",
+    "vite-plugin-vue-devtools": "^7.5.3",
+    "vitest": "^3.1.1",
+    "vue-tsc": "^2.1.6"
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/public/favicon.ico b/v1/medcat-trainer/webapp/frontend/public/favicon.ico
new file mode 100644
index 000000000..df36fcfb7
Binary files /dev/null and b/v1/medcat-trainer/webapp/frontend/public/favicon.ico differ
diff --git a/v1/medcat-trainer/webapp/frontend/src/App.vue b/v1/medcat-trainer/webapp/frontend/src/App.vue
new file mode 100644
index 000000000..53df57b25
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/App.vue
@@ -0,0 +1,149 @@
+<template>
+  <div @login:success="loginSuccessful" class="full-height">
+    <nav class="navbar">
+      <router-link class="app-name" to="/">Med<img class="icon" src="./assets/cat-logo.png" >AT</router-link>
+      <router-link class="navbar-brand" to="/">Projects</router-link>
+      <router-link class="navbar-brand" to="/metrics-reports">Metrics</router-link>
+      <router-link class="navbar-brand" to="/model-explore">Concepts</router-link>
+      <router-link class="navbar-brand" to="/demo">Try Model</router-link>
+      <span class="version-id">{{version}}</span>
+      <a class="navbar-brand ml-auto small">
+        <span @click="loginModal = true">
+          <span class="link" v-if="uname === null">Login</span>
+          <span class="link" v-if="uname !== null">
+            ({{uname}})
+            <font-awesome-icon icon="user"></font-awesome-icon>
+          </span>
+        </span>
+        <span v-if="uname !== null" class="link logout" @click="logout">logout</span>
+      </a>
+    </nav>
+    <router-view/>
+    <login v-if="loginModal" @login:success="loginSuccessful()"
+           :closable="true" @login:close="loginModal=false"></login>
+  </div>
+</template>
+
+<script>
+import Login from '@/components/common/Login.vue'
+import EventBus from '@/event-bus'
+
+export default {
+  name: 'App',
+  components: {
+    Login
+  },
+  data () {
+    return {
+      loginModal: false,
+      uname: this.$cookies.get('username') || null,
+      version: ''
+    }
+  },
+  methods: {
+    loginSuccessful () {
+      this.loginModal = false
+      this.uname = this.$cookies.get('username')
+      if (this.$route.name !== 'home') {
+        this.$router.push({ name: 'home' })
+      }
+    },
+    logout () {
+      this.$cookies.remove('username')
+      this.$cookies.remove('api-token')
+      this.$cookies.remove('admin')
+      if (this.$route.name !== 'home') {
+        this.$router.push({ name: 'home' })
+      } else {
+        this.$router.go()
+      }
+    }
+  },
+  mounted () {
+    EventBus.$on('login:success', this.loginSuccessful)
+  },
+  beforeDestroy () {
+    EventBus.$off('login:success', this.loginSuccessful)
+  },
+  created () {
+    this.$http.get('/api/version/').then(resp => {
+      this.version = resp.data || ''
+    })
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.right {
+  float: right;
+}
+
+.small {
+  font-size: 14px;
+  color: #fff !important;
+}
+
+.navbar {
+  height: 60px;
+  background-color: $navbar-bg;
+}
+
+.app-name {
+  padding: 0 10px;
+  font-size: 2.25rem;
+  text-decoration: none;
+  color: #fff;
+
+  &:hover {
+    color: #fff !important;
+    text-decoration: none;
+  }
+  &:focus {
+    color: #fff;
+  }
+}
+
+.navbar-brand {
+  color: #fff;
+  border-bottom: 1px solid transparent;
+  margin-left: 20px;
+  padding: 3px 0;
+
+  &:hover {
+    color: #fff;
+    border-bottom: 1px solid #fff;
+  }
+  &:focus {
+    color: #fff;
+  }
+}
+
+.link {
+  display:inline-block;
+  height: 25px;
+  cursor: pointer;
+
+  &:hover {
+    opacity: 0.6;
+  }
+}
+
+.logout {
+  padding-left: 20px;
+}
+
+.icon {
+  height: 38px;
+  position: relative;
+  bottom: 7px;
+}
+
+.version-id {
+  display: inline-block;
+  float: right;
+  font-size: 10px;
+  padding: 0 20px;
+  color: $color-2;
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/assets/base.css b/v1/medcat-trainer/webapp/frontend/src/assets/base.css
new file mode 100644
index 000000000..533c57018
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/assets/base.css
@@ -0,0 +1,97 @@
+/* color palette from <https://github.com/vuejs/theme> */
+:root {
+  --primary: #0072CE; /*NHS Bright Blue*/
+  /*//"primary": #005EB8, //NHS Blue*/
+  --danger: #DA291C; /*NHS Emergency Services Red*/
+  --warning: #768692; /* NHS Mid Grey*/
+  --info: #E8EDEE; /* NHS Pale Grey*/
+  --success: #009639; /* NHS Green*/
+  --light-success: #32ab60; /* slightly lighter than NHS Green*/
+
+  --primary-mute: #0072CE;
+  --primary-soft: #0072CE;
+
+  --vt-c-white: #ffffff;
+  --vt-c-white-soft: #f8f8f8;
+  --vt-c-white-mute: #f2f2f2;
+
+  --vt-c-black: #181818;
+  --vt-c-black-soft: #222222;
+  --vt-c-black-mute: #282828;
+
+  --vt-c-indigo: #2c3e50;
+
+  --vt-c-divider-light-1: rgba(60, 60, 60, 0.29);
+  --vt-c-divider-light-2: rgba(60, 60, 60, 0.12);
+  --vt-c-divider-dark-1: rgba(84, 84, 84, 0.65);
+  --vt-c-divider-dark-2: rgba(84, 84, 84, 0.48);
+
+  --vt-c-text-light-1: var(--vt-c-indigo);
+  --vt-c-text-light-2: rgba(60, 60, 60, 0.66);
+  --vt-c-text-dark-1: var(--vt-c-white);
+  --vt-c-text-dark-2: rgba(235, 235, 235, 0.64);
+}
+
+/* semantic color variables for this project */
+:root {
+  --color-background: var(--vt-c-white);
+  --color-background-soft: var(--vt-c-white-soft);
+  --color-background-mute: var(--vt-c-white-mute);
+
+  --color-border: var(--vt-c-divider-light-2);
+  --color-border-hover: var(--vt-c-divider-light-1);
+
+  --color-heading: var(--vt-c-text-light-1);
+  --color-text: var(--vt-c-text-light-1);
+
+  --section-gap: 160px;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --color-background: var(--vt-c-black);
+    --color-background-soft: var(--vt-c-black-soft);
+    --color-background-mute: var(--vt-c-black-mute);
+
+    --color-border: var(--vt-c-divider-dark-2);
+    --color-border-hover: var(--vt-c-divider-dark-1);
+
+    --color-heading: var(--vt-c-text-dark-1);
+    --color-text: var(--vt-c-text-dark-2);
+  }
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+  margin: 0;
+  font-weight: normal;
+}
+
+body {
+  min-height: 100vh;
+  color: var(--color-text);
+  background: var(--color-background);
+  transition:
+    color 0.5s,
+    background-color 0.5s;
+  line-height: 1.6;
+  font-family:
+    Inter,
+    -apple-system,
+    BlinkMacSystemFont,
+    'Segoe UI',
+    Roboto,
+    Oxygen,
+    Ubuntu,
+    Cantarell,
+    'Fira Sans',
+    'Droid Sans',
+    'Helvetica Neue',
+    sans-serif;
+  font-size: 13px;
+  text-rendering: optimizeLegibility;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
diff --git a/v1/medcat-trainer/webapp/frontend/src/assets/cat-logo.png b/v1/medcat-trainer/webapp/frontend/src/assets/cat-logo.png
new file mode 100644
index 000000000..56b7971b1
Binary files /dev/null and b/v1/medcat-trainer/webapp/frontend/src/assets/cat-logo.png differ
diff --git a/v1/medcat-trainer/webapp/frontend/src/assets/main.css b/v1/medcat-trainer/webapp/frontend/src/assets/main.css
new file mode 100644
index 000000000..34c2a5499
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/assets/main.css
@@ -0,0 +1,32 @@
+html, body {
+  height: 100%;
+  overflow: hidden;
+  font-size: 12px;
+}
+
+body > div {
+  height: 100%;
+}
+
+body {
+  font-family: inherit;
+  font-size: 1rem;
+}
+
+.v-table > .v-table__wrapper > table > tbody > tr > td,
+.v-table > .v-table__wrapper > table > tbody > tr > th,
+.v-table > .v-table__wrapper > table > thead > tr > td,
+.v-table > .v-table__wrapper > table > thead > tr > th,
+.v-table > .v-table__wrapper > table > tfoot > tr > td,
+.v-table > .v-table__wrapper > table > tfoot > tr > th {
+  padding: 0 4px;
+}
+
+.v-table--density-default {
+  --v-table-header-height: 42px !important;
+  --v-table-row-height: 32px !important;
+}
+
+.v-data-table tbody tr:nth-of-type(even) {
+  background-color: rgba(0, 0, 0, .03);
+}
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue b/v1/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue
new file mode 100644
index 000000000..4b00abf44
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/anns/AddAnnotation.vue
@@ -0,0 +1,245 @@
+<template>
+  <div class="sidebar" @keyup.stop>
+    <div class="title">
+      Add Term
+      <button @click="cancel()" class="btn btn-default close-window" @mousedown.stop>
+        <font-awesome-icon icon="times"></font-awesome-icon>
+      </button>
+    </div>
+    <div class="main-panel">
+      <table class="add-synonym-table">
+        <tbody>
+        <tr>
+          <td>New Term</td>
+          <td class="fit-content">{{name}}</td>
+        </tr>
+        <tr @keyup.stop>
+          <td>Concept Lookup</td>
+          <td>
+            <concept-picker :restrict_concept_lookup="project.restrict_concept_lookup"
+                            :cui_filter="project.cuis"
+                            :cdb_search_filter="project.cdb_search_filter"
+                            :concept_db="project.concept_db"
+                            :selection="name" @pickedResult:concept="enrichCUI"
+                            @picker:opened="conceptPickerState(true)" @picker:closed="conceptPickerState(false)">
+            </concept-picker>
+          </td>
+        </tr>
+        <tr>
+          <td>Context</td>
+          <td class="fit-content context">
+            <span class="context">{{this.prevText}}</span>
+            <span class="context highlight">{{this.name}}</span>
+            <span class="context">{{this.nextText.slice(0, 15)}}</span>
+          </td>
+        </tr>
+        </tbody>
+      </table>
+      <table class="add-synonym-table" v-if="selectedCUI">
+        <tbody>
+        <tr>
+          <td>Name</td>
+          <td class="cui-mappings">{{selectedCUI.name.split(':')[0] || 'n/a'}}</td>
+        </tr>
+        <tr v-if="selectedCUI.type_ids !== 'unk' ">
+          <td>Type ID</td>
+          <td>{{(selectedCUI.type_ids || []).join(', ') || 'n/a'}}</td>
+        </tr>
+        <tr v-if="selectedCUI.semantic_type">
+          <td>Semantic Type</td>
+          <td>{{selectedCUI.semantic_type || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Concept ID</td>
+          <td >{{selectedCUI.cui || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Description</td>
+          <td class="fit-content" v-html="selectedCUI.desc === 'nan' ? 'n/a' : selectedCUI.desc || 'n/a'"></td>
+        </tr>
+        <tr>
+          <td>Synonyms</td>
+          <td class="fit-content" v-html="(selectedCUI.synonyms || []).join('<br>') || 'n/a'"></td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+    <div v-if="selectedCUI !== null" class="action-buttons">
+      <button @click="submit()" :disabled="loading" class="btn task-btn-0">
+        <font-awesome-icon v-if="!loading" icon="plus"></font-awesome-icon>
+        <font-awesome-icon v-if="loading" icon="spinner" spin size="xs" />
+        Add Term
+      </button>
+      <button @click="cancel()" class="btn task-btn-1" :disabled="loading">
+        <font-awesome-icon icon="times"></font-awesome-icon>
+        Cancel
+      </button>
+    </div>
+    <add-new-concept class="add-new-concept" v-if="project.add_new_entities" :selection="selection" :project="project" :documentId="documentId"
+                     @select:newConcept="newConceptSelected"
+                     @request:addConceptComplete="newConceptAddedComplete"></add-new-concept>
+  </div>
+</template>
+
+<script>
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+import AddNewConcept from '@/components/common/AddNewConcept.vue'
+
+export default {
+  name: 'AddAnnotation',
+  components: {
+    AddNewConcept,
+    ConceptPicker
+  },
+  emits: [
+    'request:addAnnotationComplete'
+  ],
+  mixins: [ConceptDetailService],
+  props: {
+    selection: Object,
+    project: Object,
+    documentId: Number,
+    searchFilterDBIndex: String
+  },
+  data () {
+    return {
+      name: this.selection.selStr,
+      prevText: this.selection.prevText,
+      nextText: this.selection.nextText,
+      selectedCUI: null,
+      conceptPickerOpen: false,
+      loading: false
+    }
+  },
+  methods: {
+    enrichCUI (concept) {
+      this.selectedCUI = concept
+    },
+    submit () {
+      const payload = {
+        source_value: this.selection.selStr,
+        document_id: this.documentId,
+        project_id: this.project.id,
+        selection_occur_idx: this.selection.selectionOccurrenceIdx,
+        cui: this.selectedCUI.cui
+      }
+      this.loading = true
+      this.$http.get(`/api/cache-model/${this.project.id}/`).then(_ => {
+        this.loading = false
+        this.$http.post('/api/add-annotation/', payload).then(resp => {
+          this.$emit('request:addAnnotationComplete', resp.data.id)
+          this.selectedCUI = null
+        })
+      }).catch(err => {
+        this.errorMessage = err.response.data.message || 'Error loading model.'
+      })
+      
+    },
+    cancel () {
+      this.$emit('request:addAnnotationComplete')
+    },
+    keydown (e) {
+      if (e.keyCode === 27) { // esc key
+        this.cancel()
+      } else if (e.keyCode === 13 && !this.conceptPickerOpen) { // enter key
+        this.submit()
+      }
+    },
+    conceptPickerState (val) {
+      const that = this
+      window.setTimeout(function () {
+        that.conceptPickerOpen = val
+      }, 100)
+    },
+    newConceptSelected () {
+      this.selectedCUI = null
+    },
+    newConceptAddedComplete (annoId) {
+      this.$emit('request:addAnnotationComplete', annoId)
+    }
+  },
+  mounted () {
+    window.addEventListener('keydown', this.keydown)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keydown', this.keydown)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+$button-height: 50px;
+
+.sidebar {
+  width: 100%;
+  overflow-y: auto;
+  height: 100%;
+}
+
+.main-panel {
+  overflow-y: auto;
+}
+
+.context {
+  white-space: pre-wrap;
+}
+
+.highlight {
+  background: lightgrey;
+  border: 3px solid lightgrey;
+  border-radius: 8px;
+}
+
+.action-buttons {
+  text-align: center;
+  padding-top: 10px;
+  height: $button-height;
+}
+
+.cui-mappings {
+  white-space: pre-wrap;
+}
+
+.close-window {
+  opacity: 0.5;
+  float: right;
+  &:hover {
+    opacity: 1.0;
+  }
+}
+
+.add-synonym-table {
+  width: 100%;
+
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+    td:first-child {
+      width: 100px;
+    }
+
+    > td {
+
+      &:first-child {
+        width: 100px;
+      }
+
+      padding: 7px 10px;
+      vertical-align: top;
+      color: $text;
+
+      &.fit-content {
+        display: inline-block;
+        max-height: 150px;
+        overflow-y: auto;
+        width: 100%;
+      }
+    }
+  }
+}
+
+.add-new-concept {
+  padding: 5px 0;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue b/v1/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue
new file mode 100644
index 000000000..a053e626a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/anns/AnnoResult.vue
@@ -0,0 +1,67 @@
+<template>
+  <tr class="result-container">
+    <td class="doc-name">{{result['document name']}}</td>
+    <td class="cui">{{result.cui}}</td>
+    <td class="source-value">{{result['source value']}}</td>
+    <td class="accu">{{Number(result.acc).toFixed(3)}}</td>
+    <td class="text">
+      <v-runtime-template :template="text"></v-runtime-template>
+    </td>
+  </tr>
+</template>
+
+<script>
+import VRuntimeTemplate from 'vue3-runtime-template'
+
+export default {
+  name: 'AnnoResult.vue',
+  components: { VRuntimeTemplate },
+  props: {
+    result: Object,
+    type: {
+      type: String,
+      default: 'tp'
+    },
+    docText: String
+  },
+  computed: {
+    text () {
+      if (!this.result || !this.result.text || !this.result['source value']) {
+        return ''
+      }
+      // default to tp
+      let highlightClass = 'highlight-task-0'
+      if (this.type === 'fp' || this.type === 'fn') {
+        highlightClass = 'highlight-task-1'
+      }
+      
+      const srcVal = this.result['source value']
+      let outText = `<span>${this.docText.slice(this.result['start'] - 60, this.result['start'])}`
+      outText += `<span class="${highlightClass}" @click="openAnno">${srcVal}</span>`
+      outText += `${this.docText.slice(this.result['end'], this.result['end'] + 60)}</span>`
+      return outText
+    }
+  },
+  methods: {
+    openAnno () {
+      const routeData = this.$router.resolve(
+        {
+          path: `/train-annotations/${this.result['project id']}/${this.result['document id']}`,
+          query: {
+            annoStart: this.result['start'],
+            annoEnd: this.result['end']
+          }
+      })
+      window.open(routeData.href, '_blank');
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.result-container {
+  > td {
+    padding: 10px;
+  }
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue b/v1/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue
new file mode 100644
index 000000000..e7973721a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/anns/TaskBar.vue
@@ -0,0 +1,147 @@
+<template>
+  <div class="task-bar" >
+    <div class="task-bar-choices">
+      <button :disabled="taskLocked" class="btn task-btn-0" @click="correct">
+        Correct</button>
+      <button :disabled="taskLocked" class="btn task-btn-1" @click="remove">
+        Incorrect</button>
+      <button v-if="terminateEnabled" :disabled="taskLocked" class="btn task-btn-2" @click="kill">
+        Terminate</button>
+      <button :disabled="taskLocked" class="btn task-btn-3" @click="alternative">
+        Alternative</button>
+      <button v-if="irrelevantEnabled" :disabled="taskLocked" class="btn task-btn-4" @click="irrelevant">
+        Irrelevant
+      </button>
+    </div>
+    <button :disabled="submitDisabled()" @click="submit()" class="btn btn-outline-primary mb-2 submit-btn submit"
+              type="button">Submit</button>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+export default {
+  name: 'TaskBar',
+  props: {
+    ents: Array,
+    taskLocked: Boolean,
+    submitLocked: Boolean,
+    altSearch: Boolean,
+    terminateEnabled: Boolean,
+    irrelevantEnabled: Boolean,
+    conceptSelection: Object
+  },
+  emits: [
+    'select:correct',
+    'select:remove',
+    'select:kill',
+    'select:alternative',
+    'select:irrelevant',
+    'submit'
+  ],
+  watch: {
+    'submitLocked' (newVal) {
+      if (newVal === null || newVal === false) {
+        this.listenShortcuts()
+      } else {
+        this.ignoreShortcuts()
+      }
+    }
+  },
+  methods: {
+    correct () {
+      this.$emit('select:correct')
+    },
+    remove () {
+      this.$emit('select:remove')
+    },
+    kill () {
+      this.$emit('select:kill')
+    },
+    alternative () {
+      this.$emit('select:alternative', !this.altSearch)
+    },
+    irrelevant () {
+      this.$emit('select:irrelevant')
+    },
+    submit () {
+      this.$emit('submit', true)
+    },
+    submitDisabled () {
+      if (this.ents !== null && !this.submitLocked) {
+        return !this.ents.every(e => {
+          return Object.values(e.assignedValues).every(e => e !== null)
+        })
+      }
+      return true
+    },
+    keydown (e) {
+      if (e.keyCode === 13 && !this.conceptSelection) {
+        if (!this.submitDisabled()) {
+          this.ignoreShortcuts()
+          this.submit()
+        }
+      } else if (e.keyCode >= 49 && e.keyCode < 54 && !this.taskLocked) {
+        let codeRange = _.range(5)
+        let keyRange = _.range(49, 54)
+        let selectIdx = _.zipObject(keyRange, codeRange)[e.keyCode]
+        switch (selectIdx) {
+          case 0:
+            this.correct()
+            break
+          case 1:
+            this.remove()
+            break
+          case 2:
+            if (this.terminateEnabled) {
+              this.kill()
+            }
+            break
+          case 3:
+            this.alternative()
+            break
+          case 4:
+            if (this.irrelevantEnabled) {
+              this.irrelevant()
+            }
+        }
+      }
+    },
+    listenShortcuts () {
+      window.addEventListener('keydown', this.keydown)
+    },
+    ignoreShortcuts () {
+      window.removeEventListener('keydown', this.keydown)
+    }
+  },
+  mounted () {
+    this.listenShortcuts()
+  },
+  beforeDestroy () {
+    this.ignoreShortcuts()
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.task-bar {
+  width: 100%;
+  background-color: $background;
+  color: $text;
+  text-align: center;
+
+  .task-bar-choices {
+    width: calc(100% - 100px);
+  }
+
+  div {
+    display: inline-block;
+  }
+
+  .submit {
+    float: right;
+    width: 100px;
+  }
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue
new file mode 100644
index 000000000..3c62b2b43
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/AddNewConcept.vue
@@ -0,0 +1,171 @@
+<template>
+  <div @keydown.stop>
+    <div class="title">
+      Add New Concept
+      <div @click="selectNewConcept()" @mousedown.stop class="show-form-button">
+        <transition name="slide-up">
+          <div>
+            <font-awesome-icon v-if="!showAdd" class="" icon="angle-right"
+                               @click="$emit('select:newConcept')"></font-awesome-icon>
+            <font-awesome-icon v-if="showAdd" icon="angle-down"></font-awesome-icon>
+          </div>
+        </transition>
+      </div>
+    </div>
+    <table class="add-new-concept-table">
+      <tbody>
+      <tr v-if="showAdd">
+        <td>Name *</td>
+        <td><input v-model="concept.name" required type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Concept ID *</td>
+        <td><input v-model="concept.cui" required type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Description</td>
+        <td><textarea v-model="concept.desc" class="form-control"></textarea></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Type</td>
+        <td><input v-model="concept.type" type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Type IDs</td>
+        <td><input v-model="concept.type_ids" type="text" class="form-control"></td>
+      </tr>
+      <tr v-if="showAdd">
+        <td>Synonyms</td>
+        <td><textarea v-model="concept.synonyms" class="form-control"></textarea></td>
+      </tr>
+      </tbody>
+    </table>
+    <div class="footer action-buttons">
+      <button class="btn btn-primary" :disabled="!addConceptEnabled()"
+              @click="addConcept">Add Concept</button>
+    </div>
+    <div class="alert alert-danger" role="alert" v-if="addConceptErr">
+      {{addConceptErr}}
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'AddNewConcept',
+  props: {
+    selection: Object,
+    project: Object,
+    documentId: Number
+  },
+  emits: [
+    'select:newConcept',
+    'request:addConceptComplete'
+  ],
+  data () {
+    return {
+      showAdd: false,
+      concept: {
+        name: '',
+        desc: '',
+        type: '',
+        type_ids: '',
+        cui: '',
+        synonyms: ''
+      },
+      addConceptErr: false
+    }
+  },
+  methods: {
+    selectNewConcept () {
+      this.showAdd = !this.showAdd
+      this.$emit('select:newConcept', this.showAdd)
+    },
+    addConceptEnabled () {
+      return this.concept.name.length > 1 && this.concept.cui.length > 1
+    },
+    addConcept () {
+      // addNewConcept
+      const payload = {
+        source_value: this.selection.selStr,
+        document_id: this.documentId,
+        project_id: this.project.id,
+        selection_occur_idx: this.selection.selectionOccurrenceIdx
+      }
+      Object.assign(payload, this.concept)
+      let nextCtx = this.selection.nextText.slice(0, 30).split(' ').slice(0, -1)
+      payload['context'] = `${this.selection.prevText}${this.selection.selStr}${nextCtx}`
+
+      this.$http.post(`/api/add-concept/`, payload).then(resp => {
+        this.$emit('request:addConceptComplete', resp.data.id)
+      }).catch(err => {
+        if (err.code === 400) {
+          this.addConceptErr = 'Invalid CUI value. CUI already exists in MedCAT.'
+          let that = this
+          setTimeout(function () {
+            that.addConceptErr = false
+          }, 5000)
+        } else {
+          this.addConceptErr = `Error adding concept:${(err.response.data || {}).err || 'Unknown error: more info in the console'}`
+          console.error(err)
+          let that = this
+          setTimeout(function () {
+            that.addConceptErr = false
+          }, 5000)
+        }
+      })
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+$button-height: 50px;
+
+.add-new-concept-table {
+  width: 100%;
+
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0, 0, 0, 0.2);
+
+    > td {
+      padding: 10px 15px;
+      vertical-align: top;
+    }
+  }
+}
+
+.title {
+  @extend .title;
+  font-size: 16px;
+}
+
+.slide-up-enter-active {
+  transition: all .5s ease;
+}
+
+.slide-up-enter, .slide-up-leave-to {
+  position: relative;
+  transform: translateY(10px);
+  transition: all .2s ease;
+  opacity: 0;
+}
+
+.action-buttons {
+  text-align: center;
+  padding-top: 10px;
+  height: $button-height;
+}
+
+.show-form-button {
+  display: inline-block;
+  width: 100px;
+  min-width: 15px;
+  opacity: 0.5;
+  text-align: right;
+  &:hover {
+    opacity: 1.0;
+  }
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue
new file mode 100644
index 000000000..5d8ac10a4
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/AnnotationSummary.vue
@@ -0,0 +1,73 @@
+<template>
+  <div class="summary">
+    <table class="table table-condensed table-hover">
+      <thead>
+        <tr>
+          <th>Annotated Text</th>
+          <th>Concept ID</th>
+          <th>Concept Name</th>
+          <th v-if="showInfoCol('icd10')">ICD-10</th>
+          <th v-if="showInfoCol('opcs4')">OPCS-4</th>
+          <th v-for="task in tasks" :key="task.id">{{task.name}}</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr v-for="concept in annos" :key="concept.id" class="summary-body" @click="selectConcept(concept)">
+          <td>
+            <span>{{leftContext(concept)}}</span>
+            <span :class="highlightClass(concept)">{{concept.value}}</span>
+            <span>{{rightContext(concept)}}</span>
+          </td>
+          <td>{{concept.cui}}</td>
+          <td>{{concept.pretty_name}}</td>
+          <td v-if="showInfoCol('icd10')" class="cui-info">
+            <div v-for="code of concept.icd10" :key="code.code">{{`${code.code} | ${code.desc}`}}</div>
+          </td>
+          <td v-if="showInfoCol('opcs4')" class="cui-info">
+          </td>
+          <td v-for="task in metaAnnos[concept.id]" :key="task.id">
+            <span>{{taskMaps[task.id][task.value]}}</span>
+          </td>
+        </tr>
+      </tbody>
+    </table>
+  </div>
+</template>
+
+<script>
+import SummaryMixin from '@/mixins/SummaryMixin'
+
+export default {
+  name: 'AnnotationSummary',
+  mixins: [SummaryMixin],
+  props: {
+    annos: Array
+  },
+  created () {
+    this.enrichSummary(this.annos)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+.summary {
+  height: 550px;
+  overflow-y: auto;
+
+  table td {
+    cursor: pointer;
+  }
+}
+
+.cui-info {
+  white-space: pre-wrap;
+}
+
+.highlight-task-new {
+  @extend .highlight-task-0;
+  &::after {
+    content: "*";
+  }
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue
new file mode 100644
index 000000000..27ac7013c
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/ClinicalText.vue
@@ -0,0 +1,283 @@
+<template>
+  <div class="note-container">
+    <v-overlay :model-value="loading !== null"
+               class="align-center justify-center"
+               color="primary"
+               activator="parent"
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="primary"></v-progress-circular>
+      <span class="overlay-message">{{loading}}</span>
+    </v-overlay>
+    <div v-if="!loading" class="clinical-note">
+      <v-runtime-template ref="clinicalText" :template="formattedText"></v-runtime-template>
+    </div>
+    <vue-simple-context-menu
+      :elementId="'ctxMenuId'"
+      :options="ctxMenuOptions"
+      ref="ctxMenu"
+      @option-clicked="ctxOptionClicked">
+    </vue-simple-context-menu>
+  </div>
+</template>
+
+<script>
+import VRuntimeTemplate from "vue3-runtime-template"
+import VueSimpleContextMenu from 'vue-simple-context-menu'
+import _ from 'lodash'
+
+export default {
+  name: 'ClinicalText',
+  components: {
+    VRuntimeTemplate,
+    VueSimpleContextMenu
+  },
+  props: {
+    text: String,
+    taskName: String,
+    taskValues: Array,
+    task: Object,
+    ents: Array,
+    loading: String,
+    currentEnt: Object,
+    currentRelStartEnt: {
+      default () {
+        return {}
+      },
+      type: Object,
+    },
+    currentRelEndEnt: {
+      default () {
+        return {}
+      },
+      type: Object,
+    },
+    addAnnos: Boolean
+  },
+  emits: [
+    'select:concept',
+    'select:addSynonym',
+    'remove:newAnno'
+  ],
+  data () {
+    return {
+      ctxMenuOptions: [
+        {
+          name: 'Add Term'
+        }
+      ],
+      selection: null
+    }
+  },
+  computed: {
+    formattedText () {
+      if (this.loading || !this.text || !this.ents) { return '' }
+      if (this.ents.length === 0) {
+        let text = this.text.replace('&', '&amp').replace('<', '&gt').replace('>', '&gt')
+        text = text === 'nan' ? '' : text
+        return this.addAnnos ? `<div @contextmenu.prevent.stop="showCtxMenu($event)">${text}</div>` : `<div>${text}</div>`
+      }
+
+      const taskHighlightDefault = 'highlight-task-default'
+      let formattedText = ''
+      let start = 0
+      let timeout = 0
+      for (let i = 0; i < this.ents.length; i++) {
+        // highlight the span with default
+        let highlightText = this.text.slice(this.ents[i].start_ind, this.ents[i].end_ind)
+
+        let styleClass = taskHighlightDefault
+        if (this.ents[i].assignedValues[this.taskName] !== null) {
+          let btnIndex = this.taskValues.indexOf(this.ents[i].assignedValues[this.taskName])
+          styleClass = `highlight-task-${btnIndex}`
+        }
+
+        if (this.ents[i].id === this.currentRelStartEnt.id) {
+          styleClass += ' current-rel-start'
+        } else if (this.ents[i].id === this.currentRelEndEnt.id) {
+          styleClass += ' current-rel-end'
+        }
+
+        styleClass = this.ents[i] === this.currentEnt ? `${styleClass} highlight-task-selected` : styleClass
+        timeout = this.ents[i] === this.currentEnt && i === 0 ? 500 : timeout
+
+        let removeButtonEl = ''
+        if (this.ents[i].manually_created) {
+          removeButtonEl = `<font-awesome-icon icon="times" class="remove-new-anno" @click="removeNewAnno(${i})"></font-awesome-icon>`
+        }
+        let spanText = `<span @click="selectEnt(${i})" class="${styleClass}">${_.escape(highlightText)}${removeButtonEl}</span>`
+
+        let precedingText = _.escape(this.text.slice(start, this.ents[i].start_ind))
+        precedingText = precedingText.length !== 0 ? precedingText : ' '
+        start = this.ents[i].end_ind
+        formattedText += precedingText + spanText
+        if (i === this.ents.length - 1) {
+          formattedText += this.text.slice(start, this.text.length)
+        }
+      }
+
+      // escape '<' '>' that may be interpreted as start/end tags, escape inserted span tags.
+      // formattedText = formattedText
+      //   .replace(/<(?!\/?span|font-awesome-icon)/g, '&lt')
+      //   .replace(/(?<!<span @click="selectEnt\(\d\d?\d?\d?\)".*"|\/span)>/g, '&gt')
+
+      formattedText = this.addAnnos ? `<div @contextmenu.prevent.stop="showCtxMenu($event)">${formattedText}</div>` : `<div>${formattedText}</div>`
+      this.scrollIntoView(timeout)
+      return formattedText
+    }
+  },
+  methods: {
+    scrollIntoView  (timeout) {
+      let el = document.getElementsByClassName('highlight-task-selected')
+      setTimeout(function () { // setTimeout to put this into event queue
+        if (el[0]) {
+          el[0].scrollIntoView({
+            block: 'nearest',
+            behavior: 'smooth'
+          })
+        }
+      }, timeout)
+    },
+    selectEnt  (entIdx) {
+      this.$emit('select:concept', entIdx)
+    },
+    showCtxMenu  (event) {
+      const selection = window.getSelection()
+      const selStr = selection.toString().trim()
+      const anchor = selection.anchorNode
+      const focus = selection.focusNode
+
+      if (selStr.length > 0 && focus !== null && focus.data) {
+        let nextText = focus.data.slice(selection.focusOffset)
+        let nextSibling = focus.nextSibling || focus.parentElement.nextSibling
+        let priorText = anchor.data.slice(0, selection.anchorOffset)
+        let priorSibling = anchor.previousSibling || anchor.parentElement.previousSibling
+
+        let sameNode = anchor.compareDocumentPosition(focus) === 0
+        let focusProceedingAnchor = anchor.compareDocumentPosition(focus) === 2
+        if (!sameNode) {
+          if (focusProceedingAnchor) {
+            priorText = focus.data.slice(0, selection.focusOffset)
+            priorSibling = focus.previousSibling || focus.parentElement.previousSibling
+            nextText = anchor.data.slice(selection.anchorOffset)
+            nextSibling = anchor.nextSibling || anchor.parentElement.nextSibling
+          }
+        } else if (selection.anchorOffset > selection.focusOffset) {
+          priorText = anchor.data.slice(0, selection.focusOffset)
+          nextText = anchor.data.slice(selection.anchorOffset)
+        }
+
+        let i = 0
+        while (priorSibling !== null) {
+          priorText = `${priorSibling.innerText || priorSibling.textContent}${priorText}`
+          priorSibling = priorSibling.previousSibling
+          i++
+        }
+        i = 0
+        while (nextSibling !== null && i < 15) {
+          nextText += (nextSibling.innerText || nextSibling.textContent)
+          nextSibling = nextSibling.nextSibling
+          i++
+        }
+
+        // occurrences of the selected string in the text before.
+        let selectionOcurrenceIdx = 0
+        let idx = 0
+        while (idx !== -1) {
+          idx = priorText.indexOf(selStr, idx)
+          if (idx !== -1) {
+            idx += selStr.length
+            selectionOcurrenceIdx += 1
+          }
+        }
+
+        // take only 100 chars of either side?
+        nextText = nextText.length < 100 ? nextText : nextText.slice(0, 100)
+        priorText = priorText.length < 15 ? priorText : priorText.slice(-15)
+        this.selection = {
+          selStr: selStr,
+          prevText: priorText,
+          nextText: nextText,
+          selectionOccurrenceIdx: selectionOcurrenceIdx
+        }
+
+        // event is 132 px too large.
+        // TODO: Fix hack, bug introduced with vue-multipane.
+        let ev = {
+          pageY: event.pageY - 42,
+          pageX: event.pageX
+        }
+        this.$refs.ctxMenu.showMenu(ev)
+      }
+    },
+    ctxOptionClicked  () {
+      this.$emit('select:addSynonym', this.selection)
+    },
+    removeNewAnno (idx) {
+      this.$emit('remove:newAnno', idx)
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+
+.note-container {
+  flex: 1 1 auto;
+  overflow-y: auto;
+  background: rgba(0, 114, 206, .2);
+  padding: 40px 40px 0 40px;
+  border-radius: 10px;
+  height: 100%;
+}
+
+.clinical-note {
+  background: white;
+  overflow-y: auto;
+  height: 100%;
+  box-shadow: 0px -2px 3px 2px rgba(0, 0, 0, 0.2);
+  padding: 25px;
+  white-space: pre-wrap;
+}
+
+.highlight-task-default {
+  background: lightgrey;
+  border: 1px solid lightgrey;
+  border-radius: 3px;
+  cursor: pointer;
+}
+
+.highlight-task-selected {
+  font-weight: bold;
+  font-size: 1.15rem;
+}
+
+.current-rel-start {
+  &::after {
+    content: "START";
+    position: relative;
+    font-size: 12px;
+    top: -4px;
+    left: 1px;
+  }
+}
+
+.current-rel-end {
+  &:after {
+    content: "END";
+    position: relative;
+    font-size: 12px;
+    top: -4px;
+    left: 1px;
+  }
+}
+
+.remove-new-anno {
+  font-size: 15px;
+  color: $task-color-1;
+  cursor: pointer;
+  position: relative;
+  top: -5px;
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue
new file mode 100644
index 000000000..88be63049
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptFilter.vue
@@ -0,0 +1,176 @@
+<template>
+  <div class="concept-filter-parent">
+    <v-overlay :model-value="loading"
+               class="align-center justify-center"
+               color="#005EB8"
+               activator="parent"
+               contained
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+    </v-overlay>
+    <div>
+      <v-row class="search-bar">
+        <v-text-field v-model="filter" type="search"
+                      label="Concept search"></v-text-field>
+        <div class="search-results">
+            <span v-if="filter === ''">Project concept filter size: <strong>{{(allItems || []).length}}</strong></span>
+            <span v-if="filter !== ''">Found <strong>{{allFilteredItems.length}}</strong> - showing first {{items.length}}</span>
+        </div>
+      </v-row>
+
+
+      <v-table density="compact" id="concept-table">
+        <thead>
+          <tr>
+            <th>CUI</th>
+            <th>Name</th>
+          </tr>
+        </thead>
+        <tbody>
+          <tr v-for="item in items" :key="item.cui">
+            <td>{{item.cui}}</td>
+            <td><span v-html="item.name"></span></td>
+          </tr>
+        </tbody>
+      </v-table>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+const ROW_LIMIT = 100
+
+export default {
+  name: "ConceptFilter",
+  props: {
+    cuis: String,
+    cdb_id: Number
+  },
+  data () {
+    return {
+      rowLimit: ROW_LIMIT,
+      currentPage: 1,
+      loading: false,
+      items: null,
+      allItems: null,
+      allFilteredItems: [],
+      headers: [
+        { value: 'cui', title: 'CUI' },
+        { value: 'name', title: 'Name' }
+      ],
+      filter: '',
+    }
+  },
+  created () {
+    this.loading = true
+    let payload = {
+      cuis: this.cuis !== '' ? this.cuis.split(',') : null,
+      cdb_id: this.cdb_id
+    }
+    this.$http.post('/api/cuis-to-concepts/', payload).then(resp => {
+      const items = resp.data.concept_list.sort((a,b) => a.name.localeCompare(b.name))
+      if (items.length > ROW_LIMIT) {
+        this.items = items.slice(0, ROW_LIMIT)
+        this.allItems = items
+      } else {
+        this.items = items
+        this.allItems = this.items
+      }
+      this.loading = false
+    })
+  },
+  methods: {
+    filterItems: _.debounce(function(filterStr) {
+      filterStr = filterStr.toLowerCase()
+      function highlightCUINames(concepts, query) {
+        const lowercaseQuery = query.toLowerCase();
+        return concepts.map(concept => {
+          const name = concept.name
+          let lowercaseStr = name.toLowerCase();
+          let result = '';
+          let lastIndex = 0;
+
+          while (true) {
+            const index = lowercaseStr.indexOf(lowercaseQuery, lastIndex);
+            if (index === -1) break;
+
+            result += name.slice(lastIndex, index);
+            result += `<span class="highlight">${name.slice(index, index + query.length)}</span>`;
+
+            lastIndex = index + query.length;
+          }
+          result += name.slice(lastIndex);
+          return {...concept, ...{ name: result }}
+        });
+      }
+      let filteredItems = this.allItems.filter((v) => v.name.toLowerCase().includes(filterStr))
+      filteredItems = filteredItems.sort((a,b) => {
+        const aStartsWith = a.name.toLowerCase().startsWith(filterStr)
+        const bStartsWith = b.name.toLowerCase().startsWith(filterStr)
+        if (aStartsWith !== bStartsWith) {
+          return aStartsWith ? -1 : 1
+        }
+        return a.name.length - b.name.length
+
+      })
+      filteredItems = highlightCUINames(filteredItems, filterStr)
+
+      if (filteredItems.length > ROW_LIMIT) {
+        this.allFilteredItems = filteredItems
+        this.items = this.allFilteredItems.slice(0, ROW_LIMIT)
+      } else {
+        this.items = filteredItems
+        this.allFilteredItems = []
+      }
+      this.currentPage = 0
+      this.loading = false
+    }, 500)
+  },
+  watch: {
+    filter (newVal) {
+      if (newVal.length > 0) {
+        this.filterItems(newVal)
+      } else {
+        this.items = this.allItems.slice(0, ROW_LIMIT)
+        this.allFilteredItems = []
+        this.currentPage = 0
+        this.loading = false
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+.concept-filter-parent {
+  position: relative;
+  padding: 5px;
+}
+
+.search-bar {
+  flex-wrap: nowrap;
+  //margin: 5px 0;
+  width: calc(100% - 300px);
+
+  input {
+    display: inline-block;
+    width: calc(100% - 300px);
+  }
+
+  span {
+    float: right;
+  }
+}
+
+.search-results {
+  padding-left: 10px;
+  padding-top: 10px;
+}
+
+.highlight {
+  font-weight: bold;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue
new file mode 100644
index 000000000..5e19f95d1
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptPicker.vue
@@ -0,0 +1,135 @@
+<template>
+  <div @keydown.stop>
+    <v-select v-model="selectedCUI" @search="searchCUI"
+              :inputId="'searchBox'"
+              :clearSearchOnSelect="true"
+              :filterable="false"
+              :appendToBody="true"
+              :options="searchResults"
+              :loading="loadingResults"
+              label="cui"
+              @open="$emit('picker:opened')"
+              @close="$emit('picker:closed')">
+      <template v-slot:no-options="{ search, searching }">
+        <template v-if="error">
+          <span class="text-danger">{{ error }}</span>
+        </template>
+        <template v-if="searching">No results found for <em>{{ search }}</em>.
+        </template>
+        <em v-if="!error" style="opacity: 0.5">Start typing to search for a concept.</em>
+      </template>
+      <template v-slot:option="option">
+        <span class="select-option">{{option.name}}</span>
+        <span class="select-option-cui"> - {{option.cui}}</span>
+      </template>
+    </v-select>
+  </div>
+</template>
+
+<script>
+import vSelect from 'vue-select'
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptPicker',
+  components: {
+    vSelect
+  },
+  emits: [
+    'picker:opened',
+    'picker:closed',
+    'pickedResult:concept'
+  ],
+  props: {
+    restrict_concept_lookup: Boolean,
+    cui_filter: String,
+    cdb_search_filter: Array,
+    concept_db: Number,
+    selection: String
+  },
+  created () {
+    let that = this
+    window.setTimeout(function () {
+      const el = document.getElementById('searchBox')
+      el.focus()
+      el.value = that.selection
+      that.searchCUI(that.selection)
+    }, 150)
+  },
+  data () {
+    return {
+      selectedCUI: null,
+      searchResults: [],
+      loadingResults: false
+    }
+  },
+  watch: {
+    'selectedCUI' (newVal) {
+      this.$emit('pickedResult:concept', newVal)
+    },
+    'selection': 'selectionChange'
+  },
+  methods: {
+    searchCUI: _.debounce(function (term) {
+      this.loadingResults = true
+
+      if (!term || term.trim().length === 0) {
+        this.loadingResults = false
+        return
+      }
+
+      const mapResult = function (r, allResults) {
+        const isDupName = allResults.filter(res => res.pretty_name === r.pretty_name).length > 1
+        return {
+          name: isDupName ? `${r.pretty_name} : ${r.cui}` : r.pretty_name,
+          cui: r.cui,
+          type_ids: r.type_ids,
+          desc: r.desc,
+          icd10: r.icd10,
+          opcs4: r.opcs4,
+          semantic_type: r.semantic_type,
+          synonyms: r.synonyms
+        }
+      }
+
+      const that = this
+      const conceptDBset = new Set(this.cdb_search_filter.concat(this.concept_db))
+      conceptDBset.delete(null)
+      const conceptDbs = Array.from(conceptDBset).join(',')
+      const searchByTerm = function () {
+        let searchConceptsQueryParams = `search=${term}&cdbs=${conceptDbs}`
+        that.$http.get(`/api/search-concepts/?${searchConceptsQueryParams}`).then(resp => {
+          that.searchResults = filterResults(resp.data.results.map(res => mapResult(res, resp.data.results)))
+          // loading(false)
+          that.loadingResults = false
+        }).catch(err => {
+          that.error = err.response?.data?.message || 'Error searching concepts - check project setup or contact project support'
+          that.loadingResults = false
+          that.searchResults = []
+        })
+      }
+      const filterResults = function (results) {
+        if (that.restrict_concept_lookup) {
+          if (that.cui_filter) {
+            let cuis = that.cui_filter.split(',').map(c => c.trim())
+            results = results.filter(r => cuis.indexOf(r.cui) !== -1)
+          }
+        }
+        return results
+      }
+      searchByTerm()
+    }, 500)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.select-option {
+  white-space: pre-wrap;
+  padding: 3px 0;
+}
+.select-option-cui {
+  opacity: 50%;
+  padding: 3px 0;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue
new file mode 100644
index 000000000..e51d46983
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/ConceptSummary.vue
@@ -0,0 +1,276 @@
+<template>
+  <div class="sidebar">
+    <div class="title">Concept Summary</div>
+    <div class="summary">
+      <table class="concept-detail-table">
+        <tbody>
+        <tr>
+          <td>Annotated Text</td>
+          <td class="fit-content ent-name">{{selectedEnt !== null ? selectedEnt.value : 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Name</td>
+          <td>
+            <span v-if="!altSearch">{{conceptSummary['Name'] || 'n/a'}}</span>
+            <span v-if="altSearch" class="alt-concept-picker" @keyup.stop>
+              <concept-picker :restrict_concept_lookup="project.restrict_concept_lookup"
+                              :cui_filter="project.cuis"
+                              :cdb_search_filter="project.cdb_search_filter"
+                              :concept_db="project.concept_db"
+                              @pickedResult:concept="selectedCorrectCUI"></concept-picker>
+              <font-awesome-icon class="cancel" icon="times-circle" @click="cancelReassign"></font-awesome-icon>
+            </span>
+          </td>
+        </tr>
+        <tr v-if="conceptSummary['Type IDs'] !== 'unk' ">
+          <td>Type IDs</td>
+          <td>{{(conceptSummary['Type IDs']|| []).join(', ') || 'n/a'}}</td>
+        </tr>
+        <tr v-if="conceptSummary['Semantic Type']">
+          <td>Semantic Type</td>
+          <td>{{conceptSummary['Type']  || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Concept ID</td>
+          <td>{{conceptSummary['Concept ID'] || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Accuracy</td>
+          <td>{{conceptSummary['Accuracy'] ?  conceptSummary['Accuracy'].toFixed(2) : 'n/a'}}</td>
+        </tr>
+        <tr v-for="(taskKey, index) of Object.keys(selectedEnt && selectedEnt.length ? selectedEnt.assignedValues : {})" :key="index">
+          <td>{{taskKey}}</td>
+          <td>{{conceptSummary[taskKey] || 'n/a'}}</td>
+        </tr>
+        <tr>
+          <td>Synonyms</td>
+          <td class="fit-content" v-html="(conceptSummary.Synonyms || []).join('<br>')"></td>
+        </tr>
+        <tr v-if="(conceptSummary['Description'] || []).length > 0">
+          <td>Description</td>
+          <td class="fit-content" v-html="conceptSummary.Description === 'nan' ? 'n/a' : conceptSummary.Description || 'n/a'"></td>
+        </tr>
+        <tr @keyup.stop v-if="(project || {}).enable_entity_annotation_comments">
+          <td>Comment</td>
+          <td><textarea v-model="(selectedEnt || {}).comment" @keyup="updateComment" class="form-control"></textarea></td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+
+const HIDDEN_PROPS = [
+  'value', 'project', 'document', 'start_ind', 'end_ind',
+  'entity', 'assignedValues', 'id', 'user', 'deleted'
+]
+
+const PROP_MAP = {
+  'acc': 'Accuracy',
+  'desc': 'Description',
+  'type_ids': 'Type IDs',
+  'semantic_type': 'Type',
+  'cui': 'Concept ID',
+  'icd10': 'ICD-10',
+  'opcs4': 'OPCS-4',
+  'pretty_name': 'Name',
+  'synonyms': 'Synonyms'
+}
+
+const CONST_PROPS_ORDER = [
+  'Name', 'Description', 'Type', 'Type IDs', 'Concept ID', 'ICD-10', 'OPCS-4', 'Accuracy', 'Synonyms'
+]
+
+export default {
+  name: 'ConceptSummary',
+  components: {
+    ConceptPicker
+  },
+  props: {
+    project: Object,
+    selectedEnt: {
+      type: Object,
+      default () {
+        return null
+      }
+    },
+    altSearch: Boolean,
+    searchFilterDBIndex: String
+  },
+  mixins: [ConceptDetailService],
+  emits: [
+    'select:altConcept',
+    'select:alternative',
+    'updated:entityComment'
+  ],
+  data () {
+    return {
+      conceptSummary: {},
+      searchResults: [],
+      selectedCUI: null
+    }
+  },
+  methods: {
+    cleanProps () {
+      this.conceptSummary = {}
+      if (this.selectedEnt && Object.keys(this.selectedEnt).length) {
+        // remove props
+        let ent = Object.keys(this.selectedEnt)
+          .filter(k => !HIDDEN_PROPS.includes(k))
+          .reduce((obj, key) => {
+            obj[key] = this.selectedEnt[key]
+            return obj
+          }, {})
+
+        // flatten task vals
+        for (const [k, v] of Object.entries(this.selectedEnt.assignedValues)) {
+          ent[k] = v || 'n/a'
+        }
+
+        // pretty print props:
+        for (const [prop, name] of Object.entries(PROP_MAP)) {
+          if (ent[prop]) { ent[name] = ent[prop] }
+          delete ent[prop]
+        }
+
+        // order the keys to tuples.
+        let props = CONST_PROPS_ORDER.concat(Object.keys(this.selectedEnt.assignedValues))
+        for (let k of props) {
+          this.conceptSummary[k] = ent[k]
+        }
+
+        // show ICD and OPCS lists with special settings for selected ICD/OPCS codes.
+      }
+    },
+    selectedCorrectCUI (item) {
+      if (item) {
+        this.$emit('select:altConcept', item)
+        this.searchResults = []
+        this.selectedCUI = null
+      }
+    },
+    cancelReassign () {
+      this.$emit('select:alternative', false)
+      this.searchResults = []
+      this.selectedCUI = null
+    },
+    keyup (e) {
+      if (this.altSearch && e.keyCode === 27) {
+        this.cancelReassign()
+      }
+    },
+    updateComment: _.debounce(function () {
+      this.$emit('updated:entityComment', this.selectedEnt)
+    }, 500)
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  },
+  watch: {
+    'selectedEnt': {
+      handler () {
+        const that = this
+        that.fetchDetail(this.selectedEnt, this.searchFilterDBIndex, () => {
+          that.cleanProps()
+        })
+      }
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.summary {
+  height: calc(100% - 41px);
+  overflow-y: auto;
+}
+
+.ent-name {
+  padding: 10px;
+  font-size: 12pt;
+}
+
+.sidebar {
+  background: $background;
+  color: $text;
+}
+
+.cui-mappings {
+  white-space: pre-wrap;
+}
+
+.concept-detail-table {
+  width: 100%;
+  tbody > tr {
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+    > td {
+      padding: 5px 10px;
+      vertical-align: top;
+
+      &:first-child {
+        width: 150px;
+      }
+
+      &.fit-content {
+        display: inline-block;
+        max-height: 150px;
+        overflow-y: auto;
+        width: 100%;
+      }
+    }
+  }
+}
+
+.picker {
+  width: calc(100% - 30px);
+  display: inline-block;
+}
+
+.select-option {
+  white-space: pre-wrap;
+}
+
+.cui-btns {
+  opacity: 0.7;
+  float: right;
+  position: relative;
+
+  &:hover {
+    opacity: 0.9;
+    cursor: pointer;
+  }
+}
+
+.edit {
+  @extend .cui-btns;
+  top: 7px;
+}
+
+.cancel {
+  @extend .cui-btns;
+  top: 10px;
+}
+
+.selectable-code {
+  padding: 2px 3px;
+
+  &:hover {
+    cursor: pointer;
+    background-color: $color-2;
+  }
+}
+
+.selected-code {
+  float: right;
+  color: $success
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue
new file mode 100644
index 000000000..3f1e97a2b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/DocumentSummary.vue
@@ -0,0 +1,247 @@
+<template>
+  <div class="doc-summary">
+    <div class="title">
+      Clinical Notes
+      <font-awesome-icon icon="search" class="search-icon" @click="activateSearch"></font-awesome-icon>
+    </div>
+    <div v-if="searching" class="search-docs">
+      <input id="doc-search-input" type="text" class="form-control" placeholder="Search by note name"
+             :value="searchCrit" @keyup="searchDocs">
+    </div>
+    <div v-if="loadingDoc" class="loading-doc"></div>
+
+    <div id="doc-sum-list" class="doc-list">
+      <div v-for="doc of (searchCrit ? filteredDocs : docs)" :key="doc.id" class="doc clickable"
+           :class="{'selected-doc': selectedDocId === doc.id}" @click="loadDoc(doc)">
+        <font-awesome-icon :id="'doc-sub-' + doc.id"
+                           v-if="validatedDocIds.includes(doc.id)"
+                           class="validated-doc" icon="check"></font-awesome-icon>
+        <font-awesome-icon :id="'doc-prep-' + doc.id"
+                           v-if="preparedDocIds.includes(doc.id)"
+                           class="prepared-doc"
+                           icon="clipboard-check"></font-awesome-icon>
+
+        <div class="note-summary">
+          {{doc.text === 'nan' ? '' : (limitText(doc.text) || '')}}
+        </div>
+        <v-tooltip activator="parent"
+                   v-if="preparedDocIds.includes(doc.id) || completeBgTasks                                   .includes(doc.id)">
+          Predictions ready for Doc: {{doc.id}}
+        </v-tooltip>
+        <v-tooltip activator="parent"
+                   v-if="validatedDocIds.includes(doc.id)">
+          Doc: {{doc.id}} complete
+        </v-tooltip>
+      </div>
+      <div class="clickable">
+        <div v-if="moreDocs" @click="loadMoreDocs" class="more-docs">
+          <font-awesome-icon icon="plus" class="icon"></font-awesome-icon>More Docs
+        </div>
+      </div>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'DocumentSummary',
+  props: {
+    projId: Number,
+    docs: Array,
+    moreDocs: Boolean,
+    selectedDocId: Number,
+    loadingDoc: Boolean,
+    validatedDocIds: Array,
+    preparedDocIds: Array
+  },
+  emits: [
+    'request:nextDocSet',
+    'request:loadDoc'
+  ],
+  data () {
+    return {
+      searching: false,
+      filteredDocs: [],
+      searchCrit: null,
+      hoverDoc: null,
+      completeBgTasks: [],
+      runningBgTasks: []
+    }
+  },
+  methods: {
+    scrollSelectedDocId () {
+      const el = document.getElementsByClassName('selected-doc')
+      if (el.length > 0) {
+        el[0].scrollIntoView({
+          block: 'center',
+          behavior: 'smooth'
+        })
+      }
+    },
+    loadMoreDocs () {
+      this.$emit('request:nextDocSet')
+    },
+    loadDoc (docId) {
+      this.$emit('request:loadDoc', docId)
+    },
+    keyup (e) {
+      if (!this.loadingDoc && e.keyCode === 40 && this.selectedDocId !== this.docs.slice(-1).id) {
+        // down
+        this.$emit('request:loadDoc', this.docs[this.docs.map(d => d.id).indexOf(this.selectedDocId) + 1])
+        this.$nextTick(this.scrollSelectedDocId)
+      } else if (!this.loadingDoc && e.keyCode === 38 && this.selectedDocId !== this.docs[0].id && !this.loadingDoc) {
+        // up
+        this.$emit('request:loadDoc', this.docs[this.docs.map(d => d.id).indexOf(this.selectedDocId) - 1])
+        this.$nextTick(this.scrollSelectedDocId)
+      }
+    },
+    activateSearch () {
+      this.searching = !this.searching
+      if (this.searching) {
+        // keyboard focus on that element.
+        setTimeout(function () {
+          const el = document.getElementById('doc-search-input')
+          el.focus()
+        }, 50)
+      } else {
+        this.searchCrit = null
+      }
+    },
+    searchDocs (event) {
+      this.searchCrit = event.target.value
+      if (this.searchCrit) {
+        this.filteredDocs = this.docs.filter(d => {
+          return d.name.toLowerCase().startsWith(this.searchCrit.toLowerCase())
+        })
+      } else {
+        this.filteredDocs = []
+      }
+    },
+    limitText (value) {
+      value = value.trim()
+      let splitText = value.split('\n')
+      if (splitText.length > 5) {
+        return splitText.slice(0, 5).join('\n')
+      }
+      return value
+    }
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  },
+}
+</script>
+
+<style scoped lang="scss">
+@import "bootstrap";
+
+$width: 175px;
+
+.title {
+  padding: 5px 10px;
+  font-size: 16pt;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+}
+
+.doc-summary {
+  flex: 0 0 $width;
+  padding: 5px;
+  position: relative;
+  background: $background;
+}
+
+.doc-list {
+  overflow: auto;
+  height: calc(100% - 41px);
+  width: $width;
+}
+
+.doc {
+  position: relative;
+  padding: 5px 3px;
+  border-radius: 5px;
+  color: $color-5;
+  margin: 15px 15px;
+  box-shadow: 2px 1px 4px 3px rgba(0,0,0,0.2);
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+.prepared-doc {
+  color: $color-1;
+  position: absolute;
+  font-size: 15px;
+  left: -7px;
+}
+
+.selected-doc {
+  border-left: 5px solid $primary;
+}
+
+.validated-doc {
+  float: right;
+  color: $success
+}
+
+.clickable {
+  cursor: pointer;
+}
+
+.loading-doc {
+  position: absolute;
+  height: 100%;
+  width: 100%;
+  background: $loading-background-color;
+  opacity: 0.3;
+}
+
+.more-docs {
+  color: $primary;
+  text-align: center;
+
+  .icon {
+    position: relative;
+    bottom: 2px;
+    padding-right: 3px;
+  }
+}
+
+.note-summary {
+  white-space: pre-wrap;
+  font-size: 10px;
+  overflow: hidden;
+  position: relative;
+  height: 6em; /* 5 lines */
+
+  &:after {
+    content: "";
+    text-align: right;
+    position: absolute;
+    bottom: 0;
+    right: 0;
+    width: 80%;
+    height: 1.2em;
+  }
+}
+
+.search-icon {
+  font-size: 10pt;
+  vertical-align: center;
+  opacity: 0.5;
+  text-align: right;
+
+  &:hover {
+    opacity: 1;
+  }
+}
+
+.search-docs {
+  width: 100%;
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/Login.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/Login.vue
new file mode 100644
index 000000000..eac0887eb
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/Login.vue
@@ -0,0 +1,114 @@
+<template>
+  <modal class="login" :closable="closable" @modal:close="$emit('login:close')">
+    <template #header>
+      <h3>Login</h3>
+    </template>
+    <template #body>
+      <form @submit.prevent class="form">
+        <label>Username:</label>
+        <input v-model="uname" class="form-control" id="uname">
+        <label>Password:</label>
+        <input v-model="password" class="form-control" type="password" id="password">
+        <a v-if="reset_pw" href="/reset_password/">Forgotten Password</a>
+      </form>
+      <span v-if="failed" class="text-danger">Username and/or password incorrect</span>
+      <span v-if="failedAdminStatusCheck" class="text-danger">Cannot determine admin status of username</span>
+    </template>
+    <template #footer>
+      <button class="login-submit btn btn-primary" @click="login()">Login</button>
+    </template>
+  </modal>
+</template>
+
+<script>
+import Modal from '@/components/common/Modal.vue'
+import EventBus from '@/event-bus'
+import axios from 'axios'
+
+const instance = axios.create({
+  baseURL: axios.baseURL,
+  headers: {}
+})
+
+export default {
+  name: 'Login',
+  props: {
+    closable: Boolean
+  },
+  emits: [
+    'login:close'
+  ],
+  components: {
+    Modal
+  },
+  data () {
+    return {
+      uname: '',
+      password: '',
+      failed: false,
+      failedAdminStatusCheck: false,
+      reset_pw: import.meta.env.VITE_APP_EMAIL === '1',
+    }
+  },
+  methods: {
+    login () {
+      let payload = {
+        username: this.uname,
+        password: this.password
+      }
+
+      instance.post('/api/api-token-auth/', payload, {}).then(resp => {
+        this.$cookies.set('api-token', resp.data.token, { expires: 7 })
+        this.$cookies.set('username', this.uname)
+        this.$http.defaults.headers.common['Authorization'] = `Token ${this.$cookies.get('api-token')}`
+        window.removeEventListener('keyup', this.keyup)
+        this.$http.get(`/api/users/?username=${this.uname}`).then(resp => {
+          if (resp.data.results.length > 0) {
+            const adminState = resp.data.results[0].is_staff || resp.data.results[0].is_superuser
+            const userId = resp.data.results[0].id
+            this.$cookies.set('admin', adminState)
+            this.$cookies.set('user-id', userId)
+            EventBus.$emit('login:success')
+          } else {
+            this.failedAdminStatusCheck = true
+            setTimeout(() => {
+              this.$cookies.set('admin', false)
+              this.$cookies.remove('user-id')
+              EventBus.$emit('login:success')
+            }, 1000)
+          }
+        }).catch(() => {
+          this.failed = true
+        })
+      }).catch(() => {
+        this.failed = true
+      })
+    },
+    keyup (e) {
+      if (e.keyCode === 13 && this.uname.length > 0 && this.password.length > 0) {
+        this.login()
+      }
+    }
+  },
+  created () {
+    window.addEventListener('keyup', this.keyup)
+    this.$nextTick(function () {
+      document.getElementById('uname').focus()
+    })
+  }
+}
+</script>
+
+<style lang="scss">
+.login-submit {
+  margin-top: 10px;
+}
+
+.login {
+  .modal-container {
+    width: 400px;
+  }
+}
+
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/Modal.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/Modal.vue
new file mode 100644
index 000000000..fdc11ad92
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/Modal.vue
@@ -0,0 +1,132 @@
+<template>
+  <transition name="modal">
+    <div class="modal-mask" @click="close">
+      <div class="modal-wrapper">
+        <div class="modal-container" @click.stop>
+          <font-awesome-icon v-if="closable" icon="times" class="close" @click="close"></font-awesome-icon>
+          <div class="modal-header">
+            <slot name="header">
+            </slot>
+          </div>
+
+          <div class="modal-body">
+            <slot name="body">
+            </slot>
+          </div>
+
+          <div class="modal-footer">
+            <slot name="footer">
+            </slot>
+          </div>
+        </div>
+      </div>
+    </div>
+  </transition>
+</template>
+
+<script>
+
+export default {
+  name: 'Modal',
+  emits: ['modal:close'],
+  props: {
+    closable: Boolean
+  },
+  methods: {
+    close () {
+      this.$emit('modal:close')
+    }
+  }
+}
+
+</script>
+
+<style lang="scss">
+.close {
+  opacity: 0.5;
+  float: right;
+  font-size: 1.5rem;
+
+  :hover {
+    opacity: 0.75;
+    cursor: pointer;
+  }
+}
+
+.modal-mask {
+  position: fixed;
+  z-index: 9998;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background-color: rgba(0, 0, 0, .5);
+  display: table;
+  transition: opacity .3s ease;
+}
+
+.modal-wrapper {
+  display: table-cell;
+  vertical-align: middle;
+}
+
+.modal-container {
+  width: 550px;
+  margin: 0 auto;
+  padding: 10px 15px;
+  background-color: #fff;
+  border-radius: 2px;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, .33);
+  transition: all .3s ease;
+  font-family: Helvetica, Arial, sans-serif;
+}
+
+.modal-header div {
+  width: 100%;
+}
+
+.modal-header h3 {
+  margin-top: 0;
+  text-align: left;
+  margin-left: 0;
+}
+
+.modal-header h4 {
+  display: inline-block;
+  margin-left: 0;
+}
+
+.modal-body {
+  margin: 20px 0;
+  overflow-y: auto;
+  max-height: 550px;
+}
+
+.modal-footer {
+  display: flex !important;
+  justify-content: center !important;
+}
+
+.modal-default-button {
+  float: right;
+}
+
+.modal-content {
+  border: 0;
+}
+
+.modal-enter {
+  opacity: 0;
+}
+
+.modal-leave-active {
+  opacity: 0;
+}
+
+.modal-enter .modal-container,
+.modal-leave-active .modal-container {
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue
new file mode 100644
index 000000000..2abb6395f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/NavBar.vue
@@ -0,0 +1,74 @@
+<template>
+  <div class="nav-bar">
+    <button :disabled="backDisabled()" @click="back()" type="button" class="btn btn-outline-warning mb-2">
+      <font-awesome-icon icon="backward"></font-awesome-icon>
+    </button>
+    <button :disabled="nextDisabled()"  @click="next()" type="button" class="btn btn-outline-warning mb-2">
+      <font-awesome-icon icon="forward"></font-awesome-icon>
+    </button>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'NavBar',
+  props: {
+    currentEnt: Object,
+    ents: Array,
+    useEnts: {
+      default () {
+        return true
+      },
+      type: Boolean
+    },
+    nextBtnDisabled: Boolean,
+    backBtnDisabled: Boolean
+  },
+  emits: [
+    'select:next',
+    'select:back'
+  ],
+  methods: {
+    nextDisabled () {
+      if (this.useEnts) {
+        return this.ents === null ? true : this.ents[this.ents.length - 1] === this.currentEnt
+      }
+      return this.nextBtnDisabled
+    },
+    backDisabled () {
+      if (this.useEnts) {
+        return this.ents === null ? true : this.ents[0] === this.currentEnt
+      }
+      return this.backBtnDisabled
+    },
+    next () {
+      this.$emit('select:next')
+    },
+    back () {
+      this.$emit('select:back')
+    },
+    keyup (e) {
+      if (e.keyCode === 37 && !this.backDisabled()) {
+        this.back()
+      } else if (!this.nextDisabled() && (e.keyCode === 39 || e.keyCode === 32)) {
+        this.next()
+      }
+    }
+  },
+  mounted () {
+    window.addEventListener('keyup', this.keyup)
+  },
+  beforeDestroy () {
+    window.removeEventListener('keyup', this.keyup)
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.nav-bar {
+  width: 95px;
+  display: inline-block;
+  background: $background;
+  color: $text;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue b/v1/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue
new file mode 100644
index 000000000..c79e8eafd
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/common/ProjectList.vue
@@ -0,0 +1,580 @@
+<template>
+  <div class="full-height project-table">
+    <div class="table-container">
+      <v-overlay :model-value="loadingProjects"
+                 :disabled="true"
+                 :persistent="true"
+                 color="primary"
+                 class="align-center justify-center"
+                 activator="parent">
+        <v-progress-circular indeterminate color="primary"></v-progress-circular>
+        <span class="overlay-message">Loading Projects...</span>
+      </v-overlay>
+      <v-data-table id="projectTable"
+                    :key="tableKey"
+                    :headers="isAdmin ? projects.headers : projects.headers.filter(f => projects.adminOnlyFields.indexOf(f.value) === -1)"
+                    :items="projectItems"
+                    :hover="true"
+                    :items-per-page="-1"
+                    :row-props="availableProjectForMetrics"
+                    v-if="!loadingProjects"
+                    @click:row="select"
+                    hide-default-footer>
+        <template #header.metrics>
+          Metrics
+          <v-tooltip activator="parent">
+            Access the metrics view for a single or group of projects
+          </v-tooltip>
+        </template>
+        <template #header.cuis>
+          Concepts
+          <v-tooltip activator="parent">
+            <div>The list of Concept Unique Identifiers (CUIs) to be annotated in a project.</div>
+            <div>'All' indicates there is no filter</div>
+          </v-tooltip>
+        </template>
+        <template #header.status>
+          Project Status
+          <v-tooltip activator="parent">
+            <div>
+              <font-awesome-icon class="status-cell" icon="pen"></font-awesome-icon> - project is actively annotating
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell danger" icon="times"></font-awesome-icon> - project marked as discontinued (failed)
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell complete-project success" icon="check"></font-awesome-icon> - project is complete
+            </div>
+          </v-tooltip>
+        </template>
+        <template #header.anno_class>
+          Annotation Dataset
+          <v-tooltip activator="parent">
+            Annotation set classification.
+            <div>
+              <font-awesome-icon class="status-cell" icon="minus"></font-awesome-icon> indicates 'local' annotations are collected specific to this project's use case / clinical area.
+            </div>
+            <div>
+              <font-awesome-icon class="status-cell success" icon="globe"></font-awesome-icon> indicates global annotations are collected suitable for use within a global model.
+            </div>
+          </v-tooltip>
+        </template>
+        <template #header.progress>
+          Progress
+          <v-tooltip activator="parent">
+            Number of validated documents / total number of documents configured in the project
+          </v-tooltip>
+        </template>
+
+        <template #item.locked="{ item }">
+          <font-awesome-icon v-if="item.project_locked" class="status-locked" icon="lock"></font-awesome-icon>
+          <font-awesome-icon v-if="!item.project_locked" class="status-unlocked" icon="lock-open"></font-awesome-icon>
+        </template>
+        <template #item.create_time="{ item }">
+          {{new Date(item.create_time).toLocaleDateString()}}
+        </template>
+        <template #item.last_modified="{ item }">
+          {{new Date(item.last_modified).toLocaleString()}}
+        </template>
+        <template #item.cuis="{ item }">
+          <div class="term-list">{{item.cuis.slice(0, 40) || 'All'}}</div>
+        </template>
+        <template #item.require_entity_validation="{ item }">
+          {{item.require_entity_validation ? 'Annotate' : 'Validate'}}
+        </template>
+        <template #item.status="{ item }">
+          <font-awesome-icon v-if="item.project_status === 'A'" class="status-cell" icon="pen"></font-awesome-icon>
+          <font-awesome-icon v-if="item.project_status === 'D'" class="status-cell danger" icon="times"></font-awesome-icon>
+          <font-awesome-icon v-if="item.project_status === 'C'" class="status-cell complete-project success" icon="check"></font-awesome-icon>
+        </template>
+        <template #item.anno_class="{ item }">
+          <font-awesome-icon v-if="item.annotation_classification" class="status-cell success" icon="globe"></font-awesome-icon>
+          <font-awesome-icon v-if="!item.annotation_classification" class="status-cell" icon="minus"></font-awesome-icon>
+        </template>
+        <template #item.cdb_search_filter="{ item }">
+          <span v-if="cdbSearchIndexStatus[item.cdb_search_filter]">
+            <font-awesome-icon icon="check" class="success"></font-awesome-icon>
+            <v-tooltip activator="parent" >Concept DB search available</v-tooltip>
+          </span>
+          <span v-if="!cdbSearchIndexStatus[item.cdb_search_filter]">
+            <font-awesome-icon  icon="times" class="danger"></font-awesome-icon>
+            <v-tooltip activator="parent">
+              <div>Project concept search not available.</div>
+              <div>Check the project setup 'CDB search filter' option is set and correctly imported</div>
+            </v-tooltip>
+          </span>
+        </template>
+        <template #item.model_loaded="{ item }">
+          <div v-if="modelLoaded[item.id]" @click.stop>
+            <button class="btn btn-outline-success model-up">
+              <font-awesome-icon icon="times" class="clear-model-cache" @click="clearLoadedModel(item.id)"></font-awesome-icon>
+              <font-awesome-icon icon="fa-cloud-arrow-up"></font-awesome-icon>
+            </button>
+          </div>
+          <div v-if="!modelLoaded[item.id]" @click.stop>
+            <button class="btn btn-outline-secondary" @click="loadProjectCDB(item.id)">
+              <font-awesome-icon v-if="loadingModel !== item.id" icon="fa-cloud-arrow-up"></font-awesome-icon>
+              <font-awesome-icon v-if="loadingModel === item.id" icon="spinner" spin></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+        <template #item.run_model="{ item }">
+          <div @click.stop>
+            <button :disabled="runningBgTasks.has(item.id) || completeBgTasks.has(item.id)"
+                    @click="runModel(item.id)"
+                    class="run-model btn btn-outline-primary">
+              <font-awesome-icon class=" model-bg-run-comp" icon="check"
+                                 v-if="completeBgTasks.has(item.id)"></font-awesome-icon>
+              <font-awesome-icon v-if="runningBgTasks.has(item.id)" icon="spinner" spin></font-awesome-icon>
+              <font-awesome-icon v-if="!runningBgTasks.has(item.id)" icon="robot"></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+        <template #item.metrics="{ item }">
+          <div  @click.stop>
+            <button class="btn"
+                    :class="{'btn-primary': selectedProjects.indexOf(item) !== -1, 'btn-outline-primary': selectedProjects.indexOf(item) === -1}"
+                    @click="selectProject(item)">
+              <font-awesome-icon icon="fa-chart-pie"></font-awesome-icon>
+            </button>
+            <v-tooltip activator="parent">
+              Once selected, only projects <br>
+              configured to use the same MedCAT <br>
+              model will be available
+            </v-tooltip>
+          </div>
+        </template>
+        <template #item.save_model="{ item }">
+          <div @click.stop>
+            <button class="btn btn-outline-primary" :disabled="saving" @click="saveModel(item.id)"><font-awesome-icon icon="save"></font-awesome-icon></button>
+          </div>
+
+        </template>
+        <template #item.progress="{ item }">
+          <v-progress-linear
+            v-model="item.progress"
+            color="#32ab60"
+            height="30px"
+            :max="item.progress_max">
+             <span>{{item.progress}}</span> / <span>{{item.progress_max}}</span>
+          </v-progress-linear>
+        </template>
+      </v-data-table>
+    </div>
+    <div>
+      <transition name="alert"><div class="alert alert-primary" v-if="saving" role="alert">Saving models</div></transition>
+      <transition name="alert"><div class="alert alert-primary" v-if="modelSaved" role="alert">Model Successfully saved</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="modelSavedError" role="alert">Error saving model</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="runModelBgError" role="alert">Error running model in background</div></transition>
+      <transition name="alert"><div class="alert alert-primary" v-if="loadingModel" role="alert">Loading model</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="modelCacheLoadError" role="alert">Error loading MedCAT model for project</div></transition>
+      <transition name="alert"><div class="alert alert-danger" v-if="projectLockedWarning" role="alert">Unable load a locked project. Contact your CogStack administrator to unlock</div></transition>
+      <transition name="alert"><div class="alert alert-info " v-if="metricsJobId">
+        Submitted Metrics job {{metricsJobId.metrics_job_id}}. Check the
+        <router-link to="metrics-reports/">/metrics-reports/</router-link>
+        page for your results</div>
+      </transition>
+      <transition name="alert"><div class="alert alert-info submit-report-job-alert" v-if="selectedProjects.length > 0">
+        Submit metrics report run for selected projects
+        <button class="btn btn-outline-primary load-metrics" @click="submitMetricsReportReq">
+          <font-awesome-icon icon="chevron-right"></font-awesome-icon>
+        </button>
+      </div></transition>
+    </div>
+
+    <modal v-if="clearModelModal" :closable="true" @modal:close="clearModelModal = false">
+      <template #header>
+        <h3>Confirm Clear Cached Model State</h3>
+      </template>
+      <template #body>
+        <p>Confirm clearing cached MedCAT Model Project {{clearModelModal}} (and any other Projects that use the same model). </p>
+        <p>
+          This will remove any interim training done (if any).
+          To recover the cached model, re-open the project(s), and re-submit all documents.
+          If you're unsure you should not clear the model state.
+        </p>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmClearLoadedModel(clearModelModal)">Confirm</button>
+        <button class="btn btn-default" @click="clearModelModal = false">Cancel</button>
+      </template>
+    </modal>
+
+    <modal v-if="cancelRunningBgTaskModal" :closable="true" @modal:close="cancelRunningBgTaskModal = null">
+      <template #header>
+        <h3>Background Model Predictions</h3>
+      </template>
+      <template #body>
+        <v-progress-linear :max="cancelRunningBgTaskModal.dsCount"
+                           v-model="cancelRunningBgTaskModal.prepCount"
+                           height="20px" class="animate" striped color="primary">
+          <span><strong>{{ cancelRunningBgTaskModal.prepCount }} / {{ cancelRunningBgTaskModal.dsCount }}</strong></span>
+        </v-progress-linear>
+        <div class="cancel-dialog-body" v-if="cancelRunningBgTaskModal.prepCount < cancelRunningBgTaskModal.dsCount">
+          Confirm to stop running model predictions in the background and enter project.
+        </div>
+        <div class="cancel-dialog-body" v-if="cancelRunningBgTaskModal.prepCount === cancelRunningBgTaskModal.dsCount">
+          Model predictions ready.
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmCancelBgTaskStop()">
+          <span v-if="cancelRunningBgTaskModal.prepCount < cancelRunningBgTaskModal.dsCount">
+            Confirm
+          </span>
+          <span v-if="cancelRunningBgTaskModal.prepCount === cancelRunningBgTaskModal.dsCount">
+            View Project
+          </span>
+        </button>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import Modal from "@/components/common/Modal.vue"
+
+export default {
+  name: "ProjectList",
+  components: { Modal},
+  props: {
+    projectItems: Array,
+    isAdmin: Boolean,
+    cdbSearchIndexStatus: Object,
+  },
+  data () {
+    return {
+      tableKey: 0,
+      modelLoaded: {},
+      projects: {
+        headers: [
+          { value: 'locked', title: ''},
+          { value: 'id', title: 'ID' },
+          { value: 'name', title: 'Title' },
+          { value: 'description', title: 'Description' },
+          { value: 'create_time', title: 'Create Time',},
+          { value: 'last_modified', title: 'Last Modified' },
+          { value: 'cuis', title: 'Concepts' },
+          { value: 'require_entity_validation', title: 'Annotate / Validate' },
+          { value: 'status', title: 'Status' },
+          { value: 'progress', title: 'Progress' },
+          { value: 'anno_class', title: 'Annotation Classification' },
+          { value: 'cdb_search_filter', title: 'Concepts Imported' },
+          { value: 'run_model', title: 'Run Model' },
+          { value: 'model_loaded', title: 'Model Loaded' },
+          { value: 'metrics', title: 'Metrics' },
+          { value: 'save_model', title: 'Save Model' }
+        ],
+        adminOnlyFields: [
+          'anno_class',
+          'cdb_search_filter',
+          'run_model',
+          'model_loaded',
+          'save_model'
+        ]
+      },
+      projectLockedWarning: false,
+      modelSaved: false,
+      modelSavedError: false,
+      runModelBgError: false,
+      loadingModel: false,
+      modelCacheLoadError: false,
+      metricsJobId: null,
+      saving: false,
+      clearModelModal: false,
+      selectedProjects: [],
+      loadingProjects: false,
+      runningBgTasks: new Set(),
+      completeBgTasks: new Set(),
+      cancelRunningBgTaskModal: null
+    }
+  },
+  created () {
+    this.pollDocPrepStatus()
+    this.fetchModelsLoaded()
+  },
+  methods: {
+    clearLoadedModel (projectId) {
+      this.clearModelModal = projectId
+    },
+    confirmClearLoadedModel (projectId) {
+      this.clearModelModal = false
+      this.$http.delete(`/api/cache-model/${projectId}/`).then(_ => {
+        this.fetchModelsLoaded()
+      })
+    },
+    loadProjectCDB (projectId) {
+      this.loadingModel = projectId
+      this.$http.get(`/api/cache-model/${projectId}/`).then(_ => {
+        this.loadingModel = false
+        this.fetchModelsLoaded()
+      }).catch(_ => {
+        this.modelCacheLoadError = true
+        this.loadingModel = false
+        const that = this
+        setTimeout(() => {
+          that.modelCacheLoadError = false
+        }, 5000)
+      })
+    },
+    fetchModelsLoaded () {
+      this.$http.get('/api/model-loaded/').then(resp => {
+        this.modelLoaded = resp?.data?.model_states
+      })
+    },
+    selectProject (project) {
+      if (this.selectedProjects.indexOf(project) !== -1) {
+        this.selectedProjects.splice(this.selectedProjects.indexOf(project), 1)
+      } else {
+        this.selectedProjects.push(project)
+      }
+      this.tableKey++
+    },
+    availableProjectForMetrics (data) {
+      if (this.selectedProjects.length === 0) {
+        return {class: ''}
+      } else {
+        let disabled = !(this.selectedProjects[0].concept_db === data.item.concept_db && 
+                        this.selectedProjects[0].vocab === data.item.vocab) ||
+                        this.selectedProjects[0].model_pack !== data.item.model_pack
+        return {class: disabled ? ' disabled-row' : ''}  
+      }
+    },
+    submitMetricsReportReq () {
+      const payload = {
+        projectIds: this.selectedProjects.map(p => p.id).join(',')
+      }
+      this.selectedProjects = []
+      this.$http.post('/api/metrics-job/', payload).then(resp => {
+        this.metricsJobId = resp.data
+        setTimeout(() => {
+          this.metricsJobId = null
+        }, 15000)
+      })
+    },
+    select (_, { item }) {
+      let project = item
+      if (project) {
+        if (project.project_locked) {
+          this.projectLockedWarning = true
+          const that = this
+          setTimeout(() => {
+            that.projectLockedWarning = false
+          }, 5000)
+        } else if (this.runningBgTasks.has(project.id)) {
+          this.bgTaskStatus(project)
+        } else {
+          this.$router.push({
+            name: 'train-annotations',
+            params: {
+              projectId: project.id
+            }
+          })
+        }
+      }
+    },
+    runModel (projectId) {
+      let payload = {
+        project_id: projectId
+      }
+      this.runningBgTasks = new Set([...this.runningBgTasks, projectId])
+      this.$http.post('/api/prepare-documents-bg/', payload).then(_ => {
+      }).catch(_ => {
+        this.runModelBgError = true
+        const that = this
+        setTimeout(function () {
+          that.runModelBgError = false
+        }, 5000)
+      })
+    },
+    saveModel (projectId) {
+      let payload = {
+        project_id: projectId
+      }
+      this.saving = true
+      this.$http.post('/api/save-models/', payload).then(() => {
+        this.saving = false
+        this.modelSaved = true
+        const that = this
+        setTimeout(() => {
+          that.modelSaved = false
+        }, 5000)
+      }).catch(() => {
+        this.saving = false
+        this.modelSavedError = true
+        const that = this
+        setTimeout(function () {
+          that.modelSavedError = false
+        }, 5000)
+      })
+    },
+    bgTaskStatus (project) {
+      this.$http.get(`/api/prep-docs-bg-tasks/${project.id}/`).then(resp => {
+        this.cancelRunningBgTaskModal = {
+          proj: project,
+          dsCount: resp.data.dataset_len,
+          prepCount: resp.data.prepd_docs_len
+        }
+        setTimeout(() => {
+          if (this.cancelRunningBgTaskModal) {
+            this.bgTaskStatus(project)
+          }
+        }, 5000)
+      })
+    },
+    confirmCancelBgTaskStop () {
+      let project = this.cancelRunningBgTaskModal.proj
+      this.$http.delete(`/api/prep-docs-bg-tasks/${project.id}/`).then(_ => {
+        this.runningBgTasks.delete(project.id)
+      }).catch(exc => {
+        console.warn(exc)
+      }).finally(_ => {
+        this.select({}, {item: project})
+        this.cancelRunningBgTaskModal = null
+      })
+    },
+    pollDocPrepStatus () {
+      this.$http.get('/api/prep-docs-bg-tasks/').then(resp => {
+        this.completeBgTasks = new Set(resp.data.comp_tasks.map(d => d.project))
+        const newRunningTasks = new Set([
+          ...this.runningBgTasks,
+          ...resp.data.running_tasks.map(d => d.project)
+        ])
+        for (const completedTask of this.completeBgTasks) {
+          newRunningTasks.delete(completedTask)
+        }
+        this.runningBgTasks = newRunningTasks
+      })
+      setTimeout(this.pollDocPrepStatus, 8000)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+.status-cell {
+  text-align: center;
+}
+
+.status-unlocked {
+  text-align: center;
+  color: $color-1;
+  padding: 0 5px;
+  opacity: .5;
+}
+
+.status-locked {
+  @extend .status-unlocked;
+  opacity: 1;
+  color: $danger;
+}
+
+.project-table {
+  height: calc(100% - 30px);
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+}
+
+.table-container {
+  height: calc(100% - 125px);
+  overflow-y: auto;
+}
+
+.complete-project, .success {
+  color: $success;
+  font-size: 20px;
+}
+
+.danger {
+  color: $danger;
+  font-size: 20px;
+}
+
+.model-up {
+  position: relative;
+  &:hover {
+    cursor: initial !important;
+  }
+}
+
+.clear-model-cache {
+  font-size: 15px;
+  color: $task-color-2;
+  cursor: pointer;
+  position: absolute;
+  right: -5px;
+  top: -5px;
+}
+
+.selected-project {
+  font-size: 15px;
+  color: green;
+  position: relative;
+  right: -40px;
+  top: -10px;
+}
+
+.load-metrics {
+  padding: 0 5px;
+
+}
+
+
+.submit-report-job-alert {
+  text-align: right;
+}
+
+.term-list {
+  display: block;
+  max-width: 20vw;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.run-model {
+  position: relative;
+}
+
+.model-bg-run-comp {
+  color: $success;
+  font-size: 15px;
+  position: absolute;
+  right: -5px;
+  top: -5px;
+}
+
+.cancel-dialog-body {
+  padding-top: 10px;
+}
+
+.v-table > .v-table__wrapper > table > tbody > tr > td,
+.v-table > .v-table__wrapper > table > tbody > tr > th,
+.v-table > .v-table__wrapper > table > thead > tr > td,
+.v-table > .v-table__wrapper > table > thead > tr > th,
+.v-table > .v-table__wrapper > table > tfoot > tr > td,
+.v-table > .v-table__wrapper > table > tfoot > tr > th {
+  padding: 0 4px !important;
+}
+
+.v-progress-linear.animate .v-progress-linear__determinate
+{
+  animation: move 5s linear infinite;
+}
+@keyframes move {
+  0% {
+    background-position: 0 0;
+  }
+  100% {
+    background-position: 100px 100px;
+  }
+}
+
+:deep(.v-table > .v-table__wrapper > table > tbody > tr.disabled-row) {
+  pointer-events: none;
+  opacity: 0.5;
+  background-color: #f0f0f0;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue b/v1/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue
new file mode 100644
index 000000000..e9d93e6d3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/metrics/AnnotationsTable.vue
@@ -0,0 +1,62 @@
+<template>
+  <v-data-table :items="items"
+                :headers="headers"
+                :hover="true"
+                hide-default-footer
+                :items-per-page="-1">
+    <template #item.status="{ item }">
+      <div id="status" :class="textColorClass(item.status)">
+        {{ item.status }}
+        <font-awesome-icon
+          icon="check-circle"
+          v-if="['Correct', 'Manually Added', 'Alternative'].includes(item.status)">
+        </font-awesome-icon>
+        <font-awesome-icon
+          icon="times-circle"
+          v-if="['Incorrect', 'Terminated', 'Irrelevant'].includes(item.status)">
+        </font-awesome-icon>
+      </div>
+    </template>
+  </v-data-table>
+</template>
+
+<script>
+export default {
+  name: 'AnnotationsTable',
+  props: {
+    items: {
+      type: Array,
+      required: true
+    },
+  },
+  data () {
+    return {
+      headers: [
+          { value: 'project', title: 'Project'},
+          { value: 'document_name', title: 'Doc. Name' },
+          { value: 'id', title: 'Annotation Id' },
+          { value: 'user', title: 'User' },
+          { value: 'cui', title: 'CUI' },
+          { value: 'concept_name', title: 'Concept' },
+          { value: 'value', title: 'text' },
+          { value: 'status', title: 'Status' }
+      ]
+    }
+  },
+  methods: {
+    textColorClass(status) {
+      return {
+        'task-color-text-0': status === 'Correct' || status === 'Manually Added',
+        'task-color-text-1': status === 'Incorrect',
+        'task-color-text-2': status === 'Terminated',
+        'task-color-text-3': status === 'Alternative',
+        'task-color-text-4': status === 'Irrelevant'
+      }
+    },
+  }
+}
+</script>
+
+<style scoped>
+
+</style>
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue b/v1/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue
new file mode 100644
index 000000000..65b2900af
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/metrics/ConceptSummary.vue
@@ -0,0 +1,331 @@
+<template>
+  <div>
+    <v-row class="summary-row">
+      <v-card class="summary-card">
+        <v-card-title>Macro F1</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_f1') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Macro Precision</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_prec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Macro Recall</v-card-title>
+        <v-card-text>{{ calculateMacroAverage('cui_rec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro F1</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_f1') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro Precision</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_prec') }}%</v-card-text>
+      </v-card>
+
+      <v-card class="summary-card">
+        <v-card-title>Micro Recall</v-card-title>
+        <v-card-text>{{ calculateMicroAverage('cui_rec') }}%</v-card-text>
+      </v-card>
+    </v-row>
+
+    <v-data-table :items="items"
+                  :headers="headers"
+                  hide-default-footer
+                  :items-per-page="-1">
+      <template #header.concept>
+        <div>Concept</div>
+        <v-tooltip></v-tooltip>
+      </template>
+      <template #header.concept_count>
+        Concept Count
+        <v-tooltip activator="parent">Number of occurrences across the projects</v-tooltip>
+      </template>
+      <template #header.variations>
+        # Vars
+        <v-tooltip activator="parent">The count of unique variations for a concept</v-tooltip>
+      </template>
+      <template #header.variation_values>
+        Variations
+        <v-tooltip activator="parent">The unique set of variations for a concept</v-tooltip>
+      </template>
+      <template #header.count_variations_ratio>
+        Variations Ratio
+        <v-tooltip activator="parent">The ratio of number of annotations and the number of variations of a concept</v-tooltip>
+      </template>
+      <template #header>
+        CUI
+        <v-tooltip activator="parent">The Concept Unique Identifier</v-tooltip>
+      </template>
+      <template #header.cui_f1>
+        F1
+        <v-tooltip activator="parent">The harmonic mean of the recall and precision scores</v-tooltip>
+      </template>
+      <template #header.cui_prec>
+        Prec.
+        <v-tooltip activator="parent">The precision scores of a concept</v-tooltip>
+      </template>
+      <template #header.cui_rec>
+        Rec
+        <v-tooltip activator="parent">The recall scores of a concept</v-tooltip>
+      </template>
+      <template #header.tps>
+        TPs
+        <v-tooltip activator="parent">True positives - concept examples that are annotated and predicted by the model</v-tooltip>
+      </template>
+      <template #header.fns>
+        FNs
+        <v-tooltip activator="parent">False negatives - concept examples that annotated but not predicted by the model</v-tooltip>
+      </template>
+      <template #header.fps>
+        FPs
+        <v-tooltip activator="parent">False positives - concept examples that are predicted but not annotated</v-tooltip>
+      </template>
+      <template #item.variation_values="{ item }">
+        <div>{{ item.value.join(', ') }}</div>
+      </template>
+      <template #item.cui_f1="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_f1"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_f1 > 0.4}">{{item.cui_f1.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.cui_rec="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_rec"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_rec > 0.4}">{{item.cui_rec.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.cui_prec="{ item }">
+        <div class="perf-progress">
+          <v-progress-linear
+              v-model="item.cui_prec"
+              color="#32AB60"
+              background-color="#46B480"
+              height="30px"
+              :max="1.0">
+            <span :class="{'good-perf': item.cui_prec > 0.4}">{{item.cui_prec.toFixed(1)}}</span>
+          </v-progress-linear>
+        </div>
+      </template>
+      <template #item.tps="{ item }">
+        <button class="btn btn-outline-success res-btn" :disabled="item.tps === 0"
+                @click="openExamples('tp_examples', item)">
+          {{ item.tps }}
+        </button>
+      </template>
+      <template #item.fns="{ item }">
+        <button class="btn btn-outline-warning res-btn" :disabled="item.fns === 0"
+                @click="openExamples('fn_examples', item)">
+          {{ item.fns }}
+        </button>
+      </template>
+      <template #item.fps="{ item }">
+        <button class="btn btn-outline-danger res-btn" :disabled="item.fps === 0"
+                @click="openExamples('fp_examples', item)">
+          {{ item.fps }}
+        </button>
+      </template>
+    </v-data-table>
+
+    <modal v-if="showModal" :closable="true" @modal:close="clearModalData" class="examples-modal">
+      <template #header>
+        <h3>{{ modalData.title }}</h3>
+      </template>
+      <template #body>
+        <div>
+          <div v-if="modalData.type === 'fp'">
+            <p>False positive model predictions can be the result of:</p>
+            <ul>
+              <li>Alternative model predictions that are overlapping with other concepts</li>
+              <li>Genuine missed annotations by an annotator.</li>
+            </ul>
+            <p>Clicking on these annotations will not highlight this annotation as it doesn't exist in the
+              dataset </p>
+          </div>
+          <div v-if="modalData.type === 'fn'">
+            <p>False negative model predictions can be the result of:</p>
+            <ul>
+              <li>A model mistake that marked an annotation 'correct' where it should be incorrect</li>
+              <li>An annotator mistake that marked an annotation 'correct' where it should be incorrect</li>
+            </ul>
+          </div>
+          <div v-if="modalData.type === 'tp'">
+            <p>True positive model predictions are annotations that were correctly predicted by the model.</p>
+          </div>
+          <table class="table table-hover">
+            <thead>
+            <tr>
+              <th>Doc Name</th>
+              <th>CUI</th>
+              <th>Value</th>
+              <th>Accuracy</th>
+              <th>Text</th>
+            </tr>
+            </thead>
+            <tbody>
+            <anno-result v-for="(res, key) of modalData.results" :key="key" :result="res"
+                         :type="modalData.type" :doc-text="textFromAnno(res)"></anno-result>
+            </tbody>
+          </table>
+        </div>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import AnnoResult from '@/components/anns/AnnoResult.vue'
+import Modal from '@/components/common/Modal.vue'
+
+export default {
+  name: 'ConceptSummary',
+  components: {
+    AnnoResult,
+    Modal
+  },
+  props: {
+    items: {
+      type: Array,
+      required: true
+    },
+    docs2text: {
+      type: Object,
+      required: true
+    }
+  },
+  data() {
+    return {
+      showModal: false,
+      modalData: {
+        results: null,
+        title: null,
+        type: null
+      },
+      headers: [
+          {value: 'concept_name', title: 'Concept Name'},
+          { value: 'concept_count' },
+          { value: 'variations' },
+          { value: 'variation_values', title: ''},
+          { value: 'count_variations_ratio', title: 'Variation Ratio' },
+          { value: 'cui', title: 'CUI' },
+          { value: 'cui_f1', title: 'F1' },
+          { value: 'cui_prec', title: 'Prec.' },
+          { value: 'cui_rec', title: 'Rec.' },
+          { value: 'tps', title: 'TPs' },
+          { value: 'fns', title: 'FNs' },
+          { value: 'fps', title: 'FPs' }
+        ]
+    }
+  },
+  methods: {
+    calculateMacroAverage(metric) {
+      if (!this.items || this.items.length === 0) {
+        return '0.0'
+      }
+      const sum = this.items.reduce((acc, item) => acc + item[metric], 0)
+      return ((sum / this.items.length) * 100).toFixed(1)
+    },
+    calculateMicroAverage(metric) {
+      if (!this.items || this.items.length === 0) {
+        return '0.0'
+      }
+      let totalTPs = 0
+      let totalFPs = 0
+      let totalFNs = 0
+
+      this.items.forEach(item => {
+        totalTPs += item.tps
+        totalFPs += item.fps
+        totalFNs += item.fns
+      })
+
+      let precision = totalTPs / (totalTPs + totalFPs)
+      let recall = totalTPs / (totalTPs + totalFNs)
+      let f1 = 2 * (precision * recall) / (precision + recall)
+
+      switch(metric) {
+        case 'cui_prec':
+          return (precision * 100).toFixed(1)
+        case 'cui_rec':
+          return (recall * 100).toFixed(1)
+        case 'cui_f1':
+          return (f1 * 100).toFixed(1)
+        default:
+          return '0.0'
+      }
+    },
+    openExamples(exampleType, item) {
+      if (exampleType === 'tp_examples') {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - True Positive Model Predictions`
+        this.modalData.type = 'tp'
+      } else if (exampleType === 'fp_examples') {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - False Positive Model Predictions`
+        this.modalData.type = 'fp'
+      } else {
+        this.modalData.title = `${item.concept_name} (${item.cui}) - False Negative Model Predictions`
+        this.modalData.type = 'fn'
+      }
+      const idx = this.items.indexOf(item)
+      this.modalData.results = this.items[idx][exampleType]
+      this.showModal = true
+    },
+    clearModalData() {
+      this.modalData = {
+        results: null,
+        title: null,
+        type: null
+      }
+      this.showModal = false
+    },
+    textFromAnno(anno) {
+      const docId = anno['document id']
+      return this.docs2text[docId]
+    }
+  }
+}
+</script>
+
+<style>
+.good-perf {
+  color: #E5EBEA;
+}
+
+.perf-progress {
+  width: 50px;
+}
+
+.res-btn {
+  height: 25px;
+  padding: 3px 10px !important;
+  border: 0 !important;
+}
+
+.res-btn:hover {
+  color: white !important;
+}
+
+.v-card {
+  max-height: 80vh;
+  overflow-y: auto;
+}
+
+.examples-modal .modal-container {
+  width: 90%;
+}
+</style>
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue b/v1/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue
new file mode 100644
index 000000000..019529e9a
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/metrics/MetricCell.vue
@@ -0,0 +1,56 @@
+<template>
+  <div class="perf-progress">
+    <v-progress-linear
+        :model-value="value"
+        :color="color"
+        :background-color="backgroundColor"
+        :height="height"
+        :max="1.0">
+      <span :class="{'good-perf': value > threshold}">
+        {{ value.toFixed(decimals) }}
+      </span>
+    </v-progress-linear>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'MetricCell',
+  props: {
+    value: {
+      type: Number,
+      required: true
+    },
+    color: {
+      type: String,
+      default: '#32AB60'
+    },
+    backgroundColor: {
+      type: String,
+      default: '#46B480'
+    },
+    height: {
+      type: [String, Number],
+      default: '30px'
+    },
+    threshold: {
+      type: Number,
+      default: 0.4
+    },
+    decimals: {
+      type: Number,
+      default: 2
+    }
+  }
+}
+</script>
+
+<style scoped>
+.perf-progress {
+  width: 100%;
+}
+
+.good-perf {
+  color: #E5EBEA;
+}
+</style>
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue b/v1/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue
new file mode 100644
index 000000000..0f59202f2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/models/ConceptDatabaseViz.vue
@@ -0,0 +1,179 @@
+<template>
+  <div class="mc-tree-container">
+    <div class="zoom-controls">
+      <button class="btn btn-default" @click="zoomIn"><font-awesome-icon icon="plus"></font-awesome-icon></button>
+      <button  class="btn btn-default" @click="zoomOut"><font-awesome-icon icon="minus"></font-awesome-icon></button>
+      <button class="btn btn-default" @click="resetZoom">1:1</button>
+    </div>
+    <v-overlay :model-value="loading"
+               class="align-center justify-center"
+               color="primary"
+               activator="parent"
+               :disabled="true"
+               :persistent="true">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+      <span class="overlay-message">Retrieving Concept Tree...</span>
+    </v-overlay>
+    <div class="mc-tree-view">
+      <vue-tree
+        style="width: 1500px; height: 1000px;"
+        :dataset="cdbData"
+        :config="treeConfig"
+        :direction="'vertical'"
+        :linkStyle="'straight'"
+        ref="tree">
+        <template v-slot:node="{ node, collapsed }">
+          <div @click="getData(node)" class="node">
+            {{ node.pretty_name }} - {{ node.cui }}
+            <button @click.stop.prevent class="btn btn-outline select-node-btn" @click="selectNode(node)">
+              <font-awesome-icon icon="chevron-right"></font-awesome-icon>
+            </button>
+          </div>
+        </template>
+      </vue-tree>
+    </div>
+  </div>
+</template>
+
+<script>
+import VueTree from '@/components/models/VueTree.vue'
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptDatabaseViz',
+  components: { VueTree },
+  props: {
+    cdb: Object,
+    selectedCui: String
+  },
+  emits: [
+    'select:node'
+  ],
+  data () {
+    return {
+      CDB: {},
+      cdbData: {},
+      nodeCuis: [],
+      loading: false,
+      treeConfig: { nodeWidth: 120, nodeHeight: 150, levelHeight: 150 },
+      zoomSetting: 0
+    }
+  },
+  created () {
+    this.loading = true
+    this.$http.get(`api/model-concept-children/${this.cdb.id}/`).then(resp => {
+      const rootTerm = resp.data.results[0]
+      this.cdbData = {
+        pretty_name: rootTerm.pretty_name,
+        cui: rootTerm.cui,
+        _key: rootTerm.cui
+      }
+      this.getData(this.cdbData)
+    })
+  },
+  mounted () {
+    this.debouncedScroll = _.debounce(this.onScroll, 100)
+    window.addEventListener('scroll', this.debouncedScroll)
+  },
+  beforeDestroy () {
+    window.removeEventListener('scroll', this.debouncedScroll)
+  },
+  methods: {
+    getData (node) {
+      if (this.nodeCuis.indexOf(node.cui) === -1 || node.complete) {
+        this.$http.get(`api/model-concept-children/${this.cdb.id}/?parent_cui=${node.cui}`).then(resp => {
+          this.loading = false
+          node.children = resp.data.results.map(r => {
+            return {
+              pretty_name: r.pretty_name,
+              cui: r.cui,
+              _key: r.cui
+            }
+          })
+          this.nodeCuis.push(node.cui)
+        })
+      }
+    },
+    selectNode (node) {
+      this.$emit('select:node', node)
+    },
+    onScroll (e) {
+      if (this.zoomSetting < e.scrollY) {
+        this.zoomOut()
+      } else {
+        this.zoomIn()
+      }
+      this.zoomSetting = e.scrollY
+    },
+    zoomOut () {
+      this.$refs.tree.zoomOut()
+    },
+    zoomIn () {
+      this.$refs.tree.zoomIn()
+    },
+    resetZoom () {
+      this.$refs.tree.restoreScale()
+    }
+  },
+  watch: {
+    selectedCui (newVal) {
+      if (newVal) {
+        this.$http.get(`api/concept-path/?cdb_id=${this.cdb.id}&cui=${newVal}`).then(resp => {
+          this.cdbData.children = resp.data.results['node_path'].children
+          this.cdbData.links = resp.data.results['links']
+          this.cdbData.identifier = 'cui'
+        })
+      }
+      this.nodeCuis.push(newVal)
+      this.loading = false
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.mc-tree-container {
+  flex: 1 1 auto;
+  overflow-y: auto;
+  background: rgba(0, 114, 206, .2);
+  padding: 40px 40px 0 40px;
+  border-radius: 10px;
+  height: 100%;
+}
+
+.mc-tree-view {
+  background: white;
+  overflow-y: auto;
+  height: 100%;
+  box-shadow: 0 -2px 3px 2px rgba(0, 0, 0, 0.2);
+  padding: 25px;
+  white-space: pre-wrap;
+}
+
+.node {
+  width: 260px;
+  padding: 3px;
+  display: flex;
+  flex-direction: row;
+  align-items: flex-start;
+  justify-content: center;
+  font-size: .8rem;
+  color: $color-2;
+  background-color: $task-color-0;
+  opacity: 1;
+  border-radius: 3px;
+  margin: 3px;
+  box-shadow: 0 5px 5px -5px $task-color-0;
+}
+
+.zoom-controls {
+  position: absolute;
+  right: 0;
+}
+
+.select-node-btn {
+  position: absolute;
+  right: 0;
+  width: 20px;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue b/v1/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue
new file mode 100644
index 000000000..ce1c32b5d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/models/VueTree.vue
@@ -0,0 +1,576 @@
+<template>
+  <div class="tree-container" ref="container">
+    <svg class="svg vue-tree" ref="svg" :style="initialTransformStyle"></svg>
+
+    <div
+      class="dom-container"
+      ref="domContainer"
+      :style="initialTransformStyle"
+    >
+      <transition-group name="tree-node-item" tag="div">
+        <div
+          class="node-slot"
+          v-for="(node, index) of nodeDataList"
+          @click="onClickNode(index)"
+          :key="node.data._key"
+          :style="{
+            left: formatDimension(
+              direction === DIRECTION.VERTICAL ? node.x : node.y
+            ),
+            top: formatDimension(
+              direction === DIRECTION.VERTICAL ? node.y : node.x
+            ),
+            width: formatDimension(config.nodeWidth),
+            height: formatDimension(config.nodeHeight)
+          }"
+        >
+          <slot
+            name="node"
+            v-bind:node="node.data"
+            v-bind:collapsed="node.data._collapsed"
+          >
+            <span>{{ node.data.value }}</span>
+          </slot>
+        </div>
+      </transition-group>
+    </div>
+  </div>
+</template>
+
+<script>
+/*
+ Patched version of "@ssthouse/vue-tree-chart": "^0.5.4", to include arrow points for pt2ch
+ relations. v0.6.x doesn't render multi-parent nodes, this should be replaced with graph render
+ component perhaps. Dep is still included as per OSS licence terms.
+ */
+
+import * as d3 from 'd3'
+
+function uuid() {
+  const s = []
+  const hexDigits = '0123456789abcdef'
+  for (let i = 0; i < 36; i++) {
+    s[i] = hexDigits.substr(Math.floor(Math.random() * 0x10), 1)
+  }
+  s[14] = '4'
+  s[19] = hexDigits.substr((s[19] & 0x3) | 0x8, 1)
+  s[8] = s[13] = s[18] = s[23] = '-'
+  return s.join('')
+}
+
+const MATCH_TRANSLATE_REGEX = /translate\((-?\d+)px, ?(-?\d+)px\)/i
+const MATCH_SCALE_REGEX = /scale\((\S*)\)/i
+
+const LinkStyle = {
+  CURVE: 'curve',
+  STRAIGHT: 'straight'
+}
+
+const DIRECTION = {
+  VERTICAL: 'vertical',
+  HORIZONTAL: 'horizontal'
+}
+
+const DEFAULT_NODE_WIDTH = 100
+const DEFAULT_NODE_HEIGHT = 100
+const DEFAULT_LEVEL_HEIGHT = 200
+/**
+ * Used to decrement the height of the 'initTransformY' to center diagrams.
+ * This is only a hotfix caused by the addition of '__invisible_root' node
+ * for multi root purposes.
+ */
+const DEFAULT_HEIGHT_DECREMENT = 200
+
+const ANIMATION_DURATION = 800
+
+function rotatePoint({ x, y }) {
+  return {
+    x: y,
+    y: x
+  }
+}
+
+export default {
+  name: 'VueTree',
+  props: {
+    config: {
+      type: Object,
+      default: () => {
+        return {
+          nodeWidth: DEFAULT_NODE_WIDTH,
+          nodeHeight: DEFAULT_NODE_HEIGHT,
+          levelHeight: DEFAULT_LEVEL_HEIGHT
+        }
+      }
+    },
+    linkStyle: {
+      type: String,
+      default: LinkStyle.CURVE
+    },
+    direction: {
+      type: String,
+      default: DIRECTION.VERTICAL
+    },
+    collapseEnabled: {
+      type: Boolean,
+      default: true
+    },
+    // 展示的层级数据, 样例数据如: hierachical.json
+    dataset: {
+      type: [Object, Array],
+      required: true
+    }
+  },
+  data() {
+    return {
+      d3,
+      colors: '568FE1',
+      nodeDataList: [],
+      linkDataList: [],
+      initTransformX: 0,
+      initTransformY: 0,
+      DIRECTION,
+      currentScale: 1
+    }
+  },
+  computed: {
+    initialTransformStyle() {
+      return {
+        transform: `scale(1) translate(${this.initTransformX}px, ${this.initTransformY}px)`,
+        transformOrigin: 'center'
+      }
+    },
+    _dataset() {
+      return this.updatedInternalData(this.dataset)
+    }
+  },
+  mounted() {
+    this.init()
+  },
+  methods: {
+    init() {
+      this.draw()
+      this.enableDrag()
+      this.initTransform()
+    },
+    zoomIn() {
+      const originTransformStr = this.$refs.domContainer.style.transform
+      let targetScale = 1 * 1.2
+      const scaleMatchResult = originTransformStr.match(MATCH_SCALE_REGEX)
+      if (scaleMatchResult && scaleMatchResult.length > 0) {
+        const originScale = parseFloat(scaleMatchResult[1])
+        targetScale *= originScale
+      }
+      this.setScale(targetScale)
+    },
+    zoomOut() {
+      const originTransformStr = this.$refs.domContainer.style.transform
+      // 如果已有scale属性, 在原基础上修改
+      let targetScale = 1 / 1.2
+      const scaleMatchResult = originTransformStr.match(MATCH_SCALE_REGEX)
+      if (scaleMatchResult && scaleMatchResult.length > 0) {
+        const originScale = parseFloat(scaleMatchResult[1])
+        targetScale = originScale / 1.2
+      }
+      this.setScale(targetScale)
+    },
+    restoreScale() {
+      this.setScale(1)
+    },
+    setScale(scaleNum) {
+      if (typeof scaleNum !== 'number') return
+      let pos = this.getTranslate()
+      let translateString = `translate(${pos[0]}px, ${pos[1]}px)`
+      this.$refs.svg.style.transform = `scale(${scaleNum}) ` + translateString
+      this.$refs.domContainer.style.transform =
+        `scale(${scaleNum}) ` + translateString
+      this.currentScale = scaleNum
+    },
+    getTranslate() {
+      let string = this.$refs.svg.style.transform
+      let match = string.match(MATCH_TRANSLATE_REGEX)
+      if (match === null) {
+        return [null, null]
+      }
+      let x = parseInt(match[1])
+      let y = parseInt(match[2])
+      return [x, y]
+    },
+    isVertical() {
+      return this.direction === DIRECTION.VERTICAL
+    },
+    /**
+     * Returns updated dataset by deep copying every nodes from the externalData and adding unique '_key' attributes.
+     **/
+    updatedInternalData(externalData) {
+      var data = { name: '__invisible_root', children: [] }
+      if (!externalData) return data
+      if (Array.isArray(externalData)) {
+        for (var i = externalData.length - 1; i >= 0; i--) {
+          data.children.push(this.deepCopy(externalData[i]))
+        }
+      } else {
+        data.children.push(this.deepCopy(externalData))
+      }
+      return data
+    },
+    /**
+     * Returns a deep copy of selected node (copy of itself and it's children).
+     * If selected node or it's children have no '_key' attribute it will assign a new one.
+     **/
+    deepCopy(node) {
+      let obj = { _key: uuid() }
+      for (var key in node) {
+        if (node[key] === null) {
+          obj[key] = null
+        } else if (Array.isArray(node[key])) {
+          obj[key] = node[key].map((x) => this.deepCopy(x))
+        } else if (typeof node[key] === 'object') {
+          obj[key] = this.deepCopy(node[key])
+        } else {
+          obj[key] = node[key]
+        }
+      }
+      return obj
+    },
+    initTransform() {
+      const containerWidth = this.$refs.container.offsetWidth
+      const containerHeight = this.$refs.container.offsetHeight
+      if (this.isVertical()) {
+        this.initTransformX = Math.floor(containerWidth / 2)
+        this.initTransformY = Math.floor(
+          this.config.nodeHeight - DEFAULT_HEIGHT_DECREMENT
+        )
+      } else {
+        this.initTransformX = Math.floor(
+          this.config.nodeWidth - DEFAULT_HEIGHT_DECREMENT
+        )
+        this.initTransformY = Math.floor(containerHeight / 2)
+      }
+    },
+    /**
+     * 根据link数据,生成svg path data
+     */
+    generateLinkPath(d) {
+      const self = this
+      if (this.linkStyle === LinkStyle.CURVE) {
+        const linkPath = this.isVertical()
+          ? d3.linkVertical()
+          : d3.linkHorizontal()
+        linkPath
+          .x(function (d) {
+            return d.x
+          })
+          .y(function (d) {
+            return d.y
+          })
+          .source(function (d) {
+            const sourcePoint = {
+              x: d.source.x,
+              y: d.source.y
+            }
+            return self.direction === self.DIRECTION.VERTICAL
+              ? sourcePoint
+              : rotatePoint(sourcePoint)
+          })
+          .target(function (d) {
+            const targetPoint = {
+              x: d.target.x,
+              y: d.target.y
+            }
+            return self.direction === self.DIRECTION.VERTICAL
+              ? targetPoint
+              : rotatePoint(targetPoint)
+          })
+        return linkPath(d)
+      }
+      if (this.linkStyle === LinkStyle.STRAIGHT) {
+        // the link path is: source -> secondPoint -> thirdPoint -> target
+        const linkPath = d3.path()
+        let sourcePoint = { x: d.source.x, y: d.source.y }
+        let targetPoint = { x: d.target.x, y: d.target.y }
+        if (!this.isVertical()) {
+          sourcePoint = rotatePoint(sourcePoint)
+          targetPoint = rotatePoint(targetPoint)
+        }
+        const xOffset = targetPoint.x - sourcePoint.x
+        const yOffset = targetPoint.y - sourcePoint.y
+        const secondPoint = this.isVertical()
+          ? { x: sourcePoint.x, y: sourcePoint.y + yOffset / 2 }
+          : { x: sourcePoint.x + xOffset / 2, y: sourcePoint.y }
+        const thirdPoint = this.isVertical()
+          ? { x: targetPoint.x, y: sourcePoint.y + yOffset / 2 }
+          : { x: sourcePoint.x + xOffset / 2, y: targetPoint.y }
+        linkPath.moveTo(sourcePoint.x, sourcePoint.y)
+        linkPath.lineTo(secondPoint.x, secondPoint.y)
+        linkPath.lineTo(thirdPoint.x, thirdPoint.y)
+        linkPath.lineTo(targetPoint.x, targetPoint.y)
+        return linkPath.toString()
+      }
+    },
+    draw() {
+      var [nodeDataList, linkDataList] = this.buildTree(this._dataset)
+      // Do not render the invisible root node.
+      nodeDataList.splice(0, 1)
+      linkDataList = linkDataList.filter(
+        (x) => x.source.data.name !== '__invisible_root'
+      )
+      this.linkDataList = linkDataList
+      this.nodeDataList = nodeDataList
+      const identifier = this.dataset['identifier']
+      const specialLinks = this.dataset['links']
+      if (specialLinks && identifier) {
+        for (const link of specialLinks) {
+          let parent,
+            children = undefined
+          if (identifier === 'value') {
+            parent = this.nodeDataList.find((d) => {
+              return d[identifier] == link.parent
+            })
+            children = this.nodeDataList.filter((d) => {
+              return d[identifier] == link.child
+            })
+          } else {
+            parent = this.nodeDataList.find((d) => {
+              return d['data'][identifier] == link.parent
+            })
+            children = this.nodeDataList.filter((d) => {
+              return d['data'][identifier] == link.child
+            })
+          }
+          if (parent && children) {
+            for (const child of children) {
+              const new_link = {
+                source: parent,
+                target: child
+              }
+              this.linkDataList.push(new_link)
+            }
+          }
+        }
+      }
+
+      this.svg = this.d3.select(this.$refs.svg)
+
+      const self = this
+      const links = this.svg.selectAll('.link').data(linkDataList, (d) => {
+        return `${d.source.data._key}-${d.target.data._key}`
+      })
+
+      this.svg
+        .append('defs')
+        .append('marker')
+        .attr('id', 'arrow')
+        .attr('viewBox', [0, 0, 20, 20])
+        .attr('refX', 75)
+        .attr('refY', 10)
+        .attr('markerWidth', 5)
+        .attr('markerHeight', 5)
+        .attr('orient', 'auto-start-reverse')
+        .append('path')
+        .attr('d', d3.line()([[0, 0], [0, 20], [20, 10]]))
+        .attr('stroke', 'black')
+        .attr('opacity', 1)
+
+      links
+        .enter()
+        .append('path')
+        .style('opacity', 0)
+        .transition()
+        .duration(ANIMATION_DURATION)
+        .ease(d3.easeCubicInOut)
+        .style('opacity', 1)
+        .attr('class', 'link')
+        .attr('d', function (d, i) {
+          return self.generateLinkPath(d)
+        })
+        .attr("id", "triangle")
+        .attr('marker-end', 'url(#arrow)')
+        .attr("refX", 15)
+        .attr("refY", -1.5)
+        .attr("markerWidth", 6)
+        .attr("markerHeight", 6)
+        .attr("orient", "auto")
+
+      links
+        .transition()
+        .duration(ANIMATION_DURATION)
+        .ease(d3.easeCubicInOut)
+        .attr('d', function (d) {
+          return self.generateLinkPath(d)
+        })
+      links
+        .exit()
+        .transition()
+        .duration(ANIMATION_DURATION / 2)
+        .ease(d3.easeCubicInOut)
+        .style('opacity', 0)
+        .remove()
+    },
+    buildTree(rootNode) {
+      const treeBuilder = this.d3
+        .tree()
+        .nodeSize([this.config.nodeWidth, this.config.levelHeight])
+      const tree = treeBuilder(this.d3.hierarchy(rootNode))
+      return [tree.descendants(), tree.links()]
+    },
+    enableDrag() {
+      const svgElement = this.$refs.svg
+      const container = this.$refs.container
+      let startX = 0
+      let startY = 0
+      let isDrag = false
+      // 保存鼠标点下时的位移
+      let mouseDownTransform = ''
+      container.onmousedown = (event) => {
+        mouseDownTransform = svgElement.style.transform
+        startX = event.clientX
+        startY = event.clientY
+        isDrag = true
+      }
+      container.onmousemove = (event) => {
+        if (!isDrag) return
+        const originTransform = mouseDownTransform
+        let originOffsetX = 0
+        let originOffsetY = 0
+        if (originTransform) {
+          const result = originTransform.match(MATCH_TRANSLATE_REGEX)
+          if (result !== null && result.length !== 0) {
+            const [offsetX, offsetY] = result.slice(1)
+            originOffsetX = parseInt(offsetX)
+            originOffsetY = parseInt(offsetY)
+          }
+        }
+        let newX =
+          Math.floor((event.clientX - startX) / this.currentScale) +
+          originOffsetX
+        let newY =
+          Math.floor((event.clientY - startY) / this.currentScale) +
+          originOffsetY
+        let transformStr = `translate(${newX}px, ${newY}px)`
+        if (originTransform) {
+          transformStr = originTransform.replace(
+            MATCH_TRANSLATE_REGEX,
+            transformStr
+          )
+        }
+        svgElement.style.transform = transformStr
+        this.$refs.domContainer.style.transform = transformStr
+      }
+
+      container.onmouseup = (event) => {
+        startX = 0
+        startY = 0
+        isDrag = false
+      }
+    },
+    onClickNode(index) {
+      if (this.collapseEnabled) {
+        const curNode = this.nodeDataList[index]
+        if (curNode.data.children) {
+          curNode.data._children = curNode.data.children
+          curNode.data.children = null
+          curNode.data._collapsed = true
+        } else {
+          curNode.data.children = curNode.data._children
+          curNode.data._children = null
+          curNode.data._collapsed = false
+        }
+        this.draw()
+      }
+    },
+    formatDimension(dimension) {
+      if (typeof dimension === 'number') return `${dimension}px`
+      if (dimension.indexOf('px') !== -1) {
+        return dimension
+      } else {
+        return `${dimension}px`
+      }
+    },
+    parseDimensionNumber(dimension) {
+      if (typeof dimension === 'number') {
+        return dimension
+      }
+      return parseInt(dimension.replace('px', ''))
+    }
+  },
+  watch: {
+    _dataset: {
+      deep: true,
+      handler: function () {
+        this.draw()
+        this.initTransform()
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+.tree-container {
+  .node {
+    fill: grey !important;
+  }
+
+  .link {
+    stroke-width: 2px !important;
+    fill: transparent !important;
+    stroke: #cecece !important;
+  }
+}
+</style>
+
+<style lang="scss" scoped>
+.tree-node-item-enter,
+.tree-node-item-leave-to {
+  transition-timing-function: ease-in-out;
+  transition: transform 0.8s;
+  opacity: 0;
+}
+
+.tree-node-item-enter-active,
+.tree-node-item-leave-active {
+  transition-timing-function: ease-in-out;
+  transition: all 0.8s;
+}
+
+.tree-container {
+  position: relative;
+  overflow: hidden;
+
+  .vue-tree {
+    position: relative;
+  }
+
+  > svg,
+  .dom-container {
+    width: 100%;
+    height: 100%;
+    position: absolute;
+    left: 0;
+    top: 0;
+    overflow: visible;
+    transform-origin: 0 50%;
+  }
+
+  .dom-container {
+    z-index: 1;
+    pointer-events: none;
+  }
+}
+
+.node-slot {
+  cursor: pointer;
+  pointer-events: all;
+  position: absolute;
+  background-color: transparent;
+  box-sizing: border-box;
+  transform: translate(-50%, -50%);
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  box-sizing: content-box;
+  transition: all 0.8s;
+  transition-timing-function: ease-in-out;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue b/v1/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue
new file mode 100644
index 000000000..a49dcdfa0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/usecases/HelpContent.vue
@@ -0,0 +1,29 @@
+<template>
+  <div>
+    <div v-for="(info, taskName, index) in descriptions" :key="index">
+      <h4>Task: {{taskName}}</h4>
+      <p>{{info.description}}</p>
+      <table class="table table-striped">
+        <thead>
+        <th>Value</th>
+        <th>Description</th>
+        </thead>
+        <tbody>
+        <tr v-for="(valueHelp, value, index) of info.values" :key="index">
+          <td>{{value}}</td>
+          <td>{{valueHelp}}</td>
+        </tr>
+        </tbody>
+      </table>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'HelpContent',
+  props: {
+    descriptions: Object
+  }
+}
+</script>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue b/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue
new file mode 100644
index 000000000..e54da281b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTask.vue
@@ -0,0 +1,88 @@
+<template>
+  <div>
+    <div class="task-name">{{task.name}}</div>
+    <div class="task-description">{{task.description}}</div>
+    <div class="task-values-container">
+      <button class="btn btn-outline-primary task-value"
+              :class="optionStyle(option)"
+              v-for="option of task.options" :key="option.id"
+              @click="selectTaskValue(option)">{{option.name}}
+        <span class="predicted-conf" v-if="task.predicted_value === option.id">score:{{task.acc.toFixed(3)}}</span>
+      </button>
+    </div>
+  </div>
+</template>
+
+<script>
+export default {
+  name: 'MetaAnnotationTask',
+  props: {
+    task: Object
+  },
+  emits: [
+    'select:metaAnno'
+  ],
+  methods: {
+    selectTaskValue (option) {
+      this.$emit('select:metaAnno', this.task, option)
+      this.$forceUpdate()
+    },
+    optionStyle (option) {
+      if (this.task.value === option.id &&
+        (this.task.validated || !this.task.predicted_value)) {
+        return 'selected'
+      } else if (this.task.predicted_value === option.id) {
+        return 'predicted'
+      }
+      return ''
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.task-name {
+  font-size: 16px;
+  padding: 10px 15px 5px 15px;
+  display: inline-block;
+  width: 125px;
+}
+
+.task-description {
+  font-size: 12px;
+  padding: 10px 15px 5px 15px;
+  vertical-align: middle;
+  display: inline-block;
+  width: calc(100% - 125px);
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.selected {
+  color: #fff;
+  background-color: $primary-alt !important;
+  border-color: $primary-alt !important;
+}
+
+.predicted {
+  background: lightgrey;
+  border-color: $primary-alt;
+}
+
+.predicted-conf {
+  font-size: 9pt;
+  display: block;
+}
+
+.task-values-container {
+  padding: 0 15px 10px 15px;
+  display: flex;
+  flex-direction: row;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+
+  .task-value {
+    flex: 1 1 auto;
+  }
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue b/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue
new file mode 100644
index 000000000..c729636c5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/usecases/MetaAnnotationTaskContainer.vue
@@ -0,0 +1,97 @@
+<template>
+  <div class="meta-task-container" v-if="tasks && tasks.length > 0">
+    <div class="title">Meta Annotation Tasks</div>
+    <div class="meta-task-list">
+      <meta-annotation-task v-for="task of tasks" :key="task.id"
+                            @select:metaAnno="selectedTaskAnno" :task="task"></meta-annotation-task>
+    </div>
+  </div>
+</template>
+
+<script>
+import MetaAnnotationTask from '@/components/usecases/MetaAnnotationTask.vue'
+import MetaAnnotationService from '@/mixins/MetaAnnotationService.js'
+
+export default {
+  name: 'MetaAnnotationTaskContainer',
+  components: {
+    MetaAnnotationTask
+  },
+  mixins: [MetaAnnotationService],
+  props: {
+    modelPackSet: Boolean,
+    taskIDs: Array,
+    selectedEnt: {
+      type: Object,
+      default () {
+        return {}
+      }
+    }
+  },
+  data () {
+    return {
+      tasks: Array
+    }
+  },
+  methods: {
+    selectedTaskAnno (task, option) {
+      if (task.value === option.id) {
+        if (task.validated && !task.predicted_value) {
+          // remove annotation
+          this.$http.delete(`/api/meta-annotations/${task.annotation_id}/`).then(() => {
+            task.value = null
+            task.annotation_id = null
+          })
+        } else {
+          // update prediction to validated is true.
+          task.validated = !task.validated
+          this.updateMetaAnno(task, option)
+        }
+      } else if (task.value && task.value !== option.id) {
+        // update to new value
+        task.validated = true
+        this.updateMetaAnno(task, option)
+      } else {
+        // create new
+        this.newMetaAnnotation(this.selectedEnt, task, option.id).then(resp => {
+          task.annotation_id = resp.data.id
+          task.value = resp.data.meta_task_value
+        })
+      }
+    },
+    updateMetaAnno (task, option) {
+      let payload = {
+        validated: task.validated,
+        predicted_meta_task_value: task.predicted_meta_task_value,
+        annotated_entity: this.selectedEnt.id,
+        meta_task: task.id,
+        meta_task_value: option.id
+      }
+      this.$http.put(`/api/meta-annotations/${task.annotation_id}/`, payload).then(() => {
+        task.value = option.id
+      })
+    }
+  },
+  created () {
+    const that = this
+    this.fetchMetaTasks(this.taskIDs, () => {
+      if (that.selectedEnt) {
+        that.fetchMetaAnnotations(that.selectedEnt, !this.modelPackSet)
+      }
+    })
+  },
+  watch: {
+    'taskIDs': 'fetchMetaTasks',
+    'selectedEnt': function(selectedEnt) {
+      this.fetchMetaAnnotations(selectedEnt, !this.modelPackSet)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.meta-task-list {
+  overflow-y: auto;
+  min-height: 250px;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue b/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue
new file mode 100644
index 000000000..97a30d0f7
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotation.vue
@@ -0,0 +1,144 @@
+<template>
+  <div @click.stop.prevent @click="highlightRelation" :class="{'selected-rel': isSelected}" class="relation-annotation">
+    <div class="entity" :class="startEntClass"
+         @click="selectStartEnt">{{(entityRelation.start_entity.value || '_________')}}</div>
+    <div class="relation">
+      <select @change="relChange" v-model="relChoice">
+        <option :value="rel" v-for="rel of possibleRelations" :key="rel.id">{{rel.name}}</option>
+      </select>
+    </div>
+    <div class="entity" :class="endEntClass" @click="selectEndEnt">{{(entityRelation.end_entity.value || '_________')}}</div>
+    <button class="btn btn-default clear-btn" @click="clear">
+      <font-awesome-icon icon="times"></font-awesome-icon>
+    </button>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+export default {
+  name: 'RelationAnnotation',
+  props: {
+    entityRelation: Object,
+    possibleRelations: Array,
+    selectedEnt: Object,
+    selectedRelation: Object
+  },
+  emits: [
+    'click:clearRelation',
+    'click:selectRelation',
+    'changed:relation'
+  ],
+  data () {
+    return {
+      relChoice: Object
+    }
+  },
+  created () {
+    this.relChoice = _.find(this.possibleRelations, v => v.id === this.entityRelation.relation) ||
+      this.possibleRelations[0]
+  },
+  computed: {
+    startEnt () {
+      return this.entityRelation.start_entity
+    },
+    startEntClass () {
+      return this.entRelClass(this.entityRelation.start_entity)
+    },
+    endEnt () {
+      return this.entityRelation.end_entity
+    },
+    endEntClass () {
+      return this.entRelClass(this.entityRelation.end_entity)
+    },
+    relation () {
+      return this.entityRelation.relation
+    },
+    isSelected () {
+      return this.selectedRelation === this.entityRelation
+    }
+  },
+  methods: {
+    clear () {
+      this.$emit('click:clearRelation', this.entityRelation)
+    },
+    selectStartEnt () {
+      this.$emit('changed:relation', this.entityRelation, 'start_entity', this.selectedEnt)
+      // this.startRelClass = this.entRelClass(this.selectedEnt)
+    },
+    selectEndEnt () {
+      this.$emit('changed:relation', this.entityRelation, 'end_entity', this.selectedEnt)
+      // this.endRelClass = this.entRelClass(this.selectedEnt)
+    },
+    entRelClass (selectedEnt) {
+      if (selectedEnt.correct) {
+        return 'highlight-task-0'
+      } else if (selectedEnt.deleted) {
+        return 'highlight-task-1'
+      } else if (selectedEnt.killed) {
+        return 'highlight-task-2'
+      } else if (selectedEnt.alternative) {
+        return 'highlight-task-3'
+      } else {
+        return 'entity-default'
+      }
+    },
+    highlightRelation () {
+      this.$emit('click:selectRelation')
+    },
+    relChange () {
+      this.$emit('changed:relation', this.entityRelation, 'relation', this.relChoice)
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.relation-annotation {
+  text-align: left;
+  margin: 5px;
+}
+
+.entity {
+  display: inline-block;
+  border-radius: 3px;
+  cursor: pointer;
+  margin: 5px;
+  padding: 2px;
+}
+
+.entity-default {
+  background: lightgrey;
+  border: 1px solid lightgrey;
+}
+
+.entity-default-selected {
+  @extend .entity-default;
+  font-weight: bold;
+}
+
+.relation {
+  display: inline-block;
+  font-weight: bold;
+
+  select {
+    border: 0;
+    border-bottom: 1px solid #45503B;
+    padding: 2px;
+  }
+}
+
+.selected-rel {
+  box-shadow: 0 0 5px 3px rgba(0, 0, 0, 0.2)
+}
+
+.clear-btn {
+  float: right;
+  cursor: pointer;
+  opacity: 0.5;
+  &:hover {
+    opacity: 1;
+  }
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue b/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue
new file mode 100644
index 000000000..d72fe004f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/components/usecases/RelationAnnotationTaskContainer.vue
@@ -0,0 +1,144 @@
+<template>
+  <div @mousedown.stop class="relation-extraction-container">
+    <div class="title title-padding">Relation Annotations
+      <button class="btn btn-default add-rel-btn" @click="addNewRelation">
+        <font-awesome-icon icon="plus"></font-awesome-icon>
+      </button>
+    </div>
+
+    <div class="relation-list">
+      <relation-annotation v-for="(rel, idx) of entityRelations" :key="idx" :entity-relation="rel"
+                           :possible-relations="relations" :selected-ent="selectedEntity"
+                           :selected-relation="currRelation" @click:clearRelation="removeRelation" @change:relationEdit="editRelation"
+                           @click:selectRelation="selectedRelation(rel, idx)" @changed:relation="relationChanged"
+      ></relation-annotation>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+import RelationAnnotation from '@/components/usecases/RelationAnnotation.vue'
+
+export default {
+  name: 'RelationAnnotationTaskContainer',
+  components: { RelationAnnotation },
+  props: {
+    selectedEntity: Object,
+    availableRelations: Array,
+    projectId: {
+      required: true,
+      type: Number
+    },
+    documentId: {
+      required: true
+    },
+    currRelation: Object
+  },
+  emits: [
+      'selected:relation'
+  ],
+  data () {
+    return {
+      relations: {},
+      entityRelations: []
+    }
+  },
+  created () {
+    this.$http.get(`/api/relations/?id__in=${this.availableRelations}`).then(resp => {
+      this.relations = resp.data.results.map(r => {
+        return {
+          name: r.label,
+          id: r.id
+        }
+      })
+      this.fetchEntityRelations()
+    })
+  },
+  watch: {
+    documentId () {
+      this.fetchEntityRelations()
+    }
+  },
+  methods: {
+    fetchEntityRelations () {
+      const url = `/api/entity-relations/?project=${this.projectId}&document=${this.documentId}`
+      this.$http.get(url).then(resp => {
+        this.entityRelations = resp.data.results
+        const entIds = _.flatten(this.entityRelations.map(rel => {
+          return [rel.start_entity, rel.end_entity]
+        }))
+        this.$http.get(`/api/annotated-entities/?id__in=${entIds.join(',')}`).then(resp => {
+          for (const rel of this.entityRelations) {
+            rel.start_entity = resp.data.results.filter(e => e.id === rel.start_entity)[0]
+            rel.end_entity = resp.data.results.filter(e => e.id === rel.end_entity)[0]
+            rel.relation = this.relations.filter(r => r.id === rel.relation)[0]
+          }
+        })
+      })
+    },
+    addNewRelation () {
+      this.entityRelations.push({
+        user: Number(this.$cookies.get('user-id')),
+        project: Number(this.projectId),
+        document: Number(this.documentId),
+        relation: this.relations[0],
+        start_entity: {},
+        end_entity: {},
+        validated: false
+      })
+    },
+    removeRelation (rel) {
+      if (rel.id) {
+        this.$http.delete(`/api/entity-relations/${rel.id}/`)
+      }
+      this.entityRelations.splice(this.entityRelations.indexOf(rel), 1)
+    },
+    editRelation (rel) {
+      if (rel.start_entity.value && rel.end_entity.value && rel.relation) {
+        rel.validated = true
+        const payload = { ...rel }
+        payload.start_entity = payload.start_entity.id
+        payload.end_entity = payload.end_entity.id
+        payload.relation = payload.relation.id
+        if (rel.id) {
+          this.$http.put(`/api/entity-relations/${rel.id}/`, payload)
+        } else {
+          this.$http.post(`/api/entity-relations/`, payload).then(resp => {
+            rel.id = resp.data.id
+          })
+        }
+      }
+    },
+    selectedRelation (rel) {
+      this.$emit('selected:relation', rel)
+    },
+    relationChanged (rel, prop, val) {
+      rel[prop] = val
+      // this.$set(rel, prop, val)
+      this.editRelation(rel)
+    }
+  }
+}
+
+</script>
+
+<style scoped lang="scss">
+.relation-extraction-container {
+  max-height: 500px;
+  overflow-y: auto;
+}
+
+.title-padding {
+  padding: 5px 5px 5px 15px;
+}
+
+.add-rel-btn {
+  float: right;
+}
+
+.relation-list {
+  width: 100%;
+  overflow-y: auto;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/event-bus.ts b/v1/medcat-trainer/webapp/frontend/src/event-bus.ts
new file mode 100644
index 000000000..1d72ff679
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/event-bus.ts
@@ -0,0 +1,8 @@
+// eventBus.js
+import emitter from 'tiny-emitter/instance'
+
+export default {
+    $on: (...args: any[]) => emitter.on(...args),
+    $off: (...args: any[]) => emitter.off(...args),
+    $emit: (...args: any[]) => emitter.emit(...args)
+}
diff --git a/v1/medcat-trainer/webapp/frontend/src/main.ts b/v1/medcat-trainer/webapp/frontend/src/main.ts
new file mode 100644
index 000000000..bb37fc2e3
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/main.ts
@@ -0,0 +1,69 @@
+import 'bootstrap'
+import 'bootstrap/dist/css/bootstrap.min.css'
+import 'vue-select/dist/vue-select.css'
+import 'vue-simple-context-menu/dist/vue-simple-context-menu.css'
+import 'splitpanes/dist/splitpanes.css'
+
+import '@/plugins/fontawesome'
+
+import '@/assets/main.css'
+
+import { createApp } from 'vue'
+
+import App from './App.vue'
+import router from './router'
+import axios from 'axios'
+import VueCookies from 'vue-cookies'
+import vSelect from 'vue-select'
+import VueSimpleContextMenu from 'vue-simple-context-menu'
+import { FontAwesomeIcon } from '@fortawesome/vue-fontawesome'
+
+import 'vuetify/styles'
+import { createVuetify } from 'vuetify'
+import * as components from 'vuetify/components'
+import * as directives from 'vuetify/directives'
+
+const theme ={
+  dark: false,
+  colors: {
+    primary: '#0072CE', //NHS Bright Blue
+    danger: '#DA291C', //NHS Emergency Services Red
+    warning: '#768692', // NHS Mid Grey
+    info: '#E8EDEE', // NHS Pale Grey
+    success: '#009639', // NHS Green
+  }
+}
+
+const vuetify = createVuetify({
+  components,
+  directives,
+  theme: {
+    defaultTheme: 'theme',
+    themes: {
+      theme
+    }
+  }
+})
+
+const app = createApp(App)
+app.config.globalProperties.$http = axios
+app.component("v-select", vSelect)
+app.component('vue-simple-context-menu', VueSimpleContextMenu)
+app.component('font-awesome-icon', FontAwesomeIcon)
+app.use(router)
+app.use(VueCookies, { expires: '7d'})
+app.use(vuetify);
+
+(function () {
+  const apiToken = document.cookie
+    .split(';')
+    .map(s => s.trim().split('='))
+    .filter(s => s[0] === 'api-token')
+  if (apiToken.length) {
+    axios.defaults.headers.common['Authorization'] = `Token ${apiToken[0][1]}`
+    axios.defaults.timeout = 6000000000
+  }
+})()
+
+app.config.compilerOptions.whitespace = 'preserve';
+app.mount('#app')
diff --git a/v1/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js b/v1/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js
new file mode 100644
index 000000000..f2d43feeb
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/mixins/ConceptDetailService.js
@@ -0,0 +1,72 @@
+import _ from 'lodash'
+
+export default {
+  name: 'ConceptDetailService',
+  methods: {
+    fetchDetail (selectedEnt, cdbSearchIndex, callback) {
+      if (selectedEnt && Object.keys(selectedEnt).length) {
+        const queryEntId = selectedEnt.id
+        this.$http.get(`/api/entities/${selectedEnt.entity}/`).then(resp => {
+          if (selectedEnt && queryEntId === selectedEnt.id) {
+            selectedEnt.cui = resp.data.label
+            this.fetchConcept(selectedEnt, cdbSearchIndex, callback)
+          }
+        })
+      } else {
+        if (this.conceptSummary) {
+          this.conceptSummary = {}
+        }
+      }
+    },
+    fetchConcept (selectedEnt, cdbSearchIndex, callback) {
+      this.$http.get(`/api/concepts/${cdbSearchIndex}/select?q=cui:${selectedEnt.cui}`).then(resp => {
+        if (selectedEnt && resp.data.response.docs.length > 0) {
+          const docEnt = resp.data.response.docs[0]
+          selectedEnt.desc = docEnt.desc
+          selectedEnt.type_ids = docEnt.type_ids
+          selectedEnt.pretty_name = docEnt.pretty_name[0]
+          selectedEnt.synonyms = docEnt.synonyms
+          if ((docEnt.icd10 || []).length > 0) {
+            selectedEnt.icd10 = []
+            let that = this
+            let getCodes = function (url) {
+              that.$http.get(url).then(resp => {
+                selectedEnt.icd10.push(...resp.data.results)
+                if (resp.data.next) {
+                  getCodes(`/api/${resp.data.next.split('/api/')[1]}`)
+                } else if (callback) {
+                  selectedEnt.icd10 = _.orderBy(selectedEnt.icd10, ['code'], ['asc'])
+                  callback()
+                }
+              })
+            }
+            getCodes(`/api/icd-codes/?id__in=${docEnt.icd10.join(',')}`)
+          } else {
+            selectedEnt.icd10 = []
+          }
+          if ((docEnt.opcs4 || []).length > 0) {
+            selectedEnt.opcs4 = []
+            let that = this
+            let getCodes = function (url) {
+              that.$http.get(url).then(resp => {
+                selectedEnt.opcs4.push(...resp.data.results)
+                if (resp.data.next) {
+                  getCodes(`/api/${resp.data.next.split('/api/')[1]}`)
+                } else if (callback) {
+                  selectedEnt.opcs4 = _.orderBy(selectedEnt.opcs4, ['code'], ['asc'])
+                  callback()
+                }
+              })
+            }
+            getCodes(`/api/opcs-codes/?id__in=${docEnt.opcs4.join(',')}`)
+          } else {
+            selectedEnt.opcs4 = []
+          }
+        }
+        if (callback) {
+          callback()
+        }
+      })
+    }
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js b/v1/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js
new file mode 100644
index 000000000..acd3f3df2
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/mixins/MetaAnnotationService.js
@@ -0,0 +1,93 @@
+
+import _ from 'lodash'
+
+export default {
+  name: 'MetaAnnotationService',
+  data () {
+    return {
+      tasks: []
+    }
+  },
+  methods: {
+    fetchMetaTasks (taskIDs, callback) {
+      this.$http.get(`/api/meta-tasks/`).then(resp => {
+        let tasks = resp.data.results.filter(r => {
+          return taskIDs.includes(r.id)
+        })
+        let values = _.flatten(tasks.map(t => t.values))
+        this.$http.get(`/api/meta-task-values/`).then(resp => {
+          let taskValueObjs = resp.data.results.filter(r => values.includes(r.id))
+          let taskValObjMap = {}
+          for (const valId of values) {
+            taskValObjMap[valId] = taskValueObjs.filter(o => o.id === valId)[0]
+          }
+          tasks = tasks.map(t => {
+            t.options = t.values.map(val => taskValObjMap[val])
+            t.value = null
+            delete t['values']
+            return t
+          })
+          this.tasks = tasks
+          if (typeof (callback) === 'function') {
+            callback()
+          }
+        })
+      })
+    },
+    newMetaAnnotation (selectedEnt, task, optionId) {
+      const payload = {
+        validated: true, // 'default' meta annotations are always valid.
+        annotated_entity: selectedEnt.id,
+        meta_task: task.id,
+        meta_task_value: optionId
+      }
+      return this.$http.post(`/api/meta-annotations/`, payload)
+    },
+    fetchMetaAnnotations (selectedEnt, useDefault, callback) {
+      if (this.tasks.length > 0 && selectedEnt !== null) {
+        for (let t of this.tasks) {
+          t.value = null
+        }
+        this.$http.get(`/api/meta-annotations/?annotated_entity=${selectedEnt.id}`).then(resp => {
+          // map current state tasks to these entities - to delete as needed.
+          let taskValues = []
+          let newAnnoPromises = []
+          for (let task of this.tasks) {
+            let savedTask = resp.data.results.filter(t => t.meta_task === task.id)
+            if (savedTask.length > 0) {
+              let r = savedTask[0]
+              task.value = r.meta_task_value
+              task.annotation_id = r.id
+              task.predicted_value = r.predicted_meta_task_value
+              task.validated = r.validated
+              task.acc = r.acc
+              taskValues.push(task)
+            } else if (useDefault && task.default) {
+              // no annotation exists, should be validated and set as default value
+              newAnnoPromises.push(this.newMetaAnnotation(selectedEnt, task, task.default))
+              taskValues.push(task)
+            }
+          }
+          let callCallback = function () {
+            if (typeof (callback) === 'function') {
+              callback(_.cloneDeep(taskValues))
+            }
+          }
+
+          if (newAnnoPromises.length) {
+            Promise.all(newAnnoPromises).then(values => {
+              for (let resp of values) {
+                let task = taskValues.filter(t => t.id === resp.data.meta_task)[0]
+                task.annotation_id = resp.data.id
+                task.value = resp.data.meta_task_value
+              }
+              callCallback()
+            })
+          } else {
+            callCallback()
+          }
+        })
+      }
+    }
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js b/v1/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js
new file mode 100644
index 000000000..4ac45811c
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/mixins/SummaryMixin.js
@@ -0,0 +1,86 @@
+import _ from 'lodash'
+import MetaAnnotationService from '@/mixins/MetaAnnotationService.js'
+import ConceptDetailService from '@/mixins/ConceptDetailService.js'
+
+export default {
+  name: 'SummaryService',
+  props: {
+    currentDoc: Object,
+    taskIDs: Array,
+    searchFilterDBIndex: String
+  },
+  mixins: [ConceptDetailService, MetaAnnotationService],
+  data () {
+    return {
+      metaAnnos: {
+        type: Object,
+        default () {
+          return {}
+        }
+      },
+      taskMaps: Object
+    }
+  },
+  methods: {
+    enrichSummary (annos, onAllAnnotationsCallback) {
+      const that = this
+      annos.forEach(anno => {
+        if (!anno.pretty_name) {
+          this.fetchDetail(anno, this.searchFilterDBIndex)
+        }
+      })
+      if (this.taskIDs.length > 0) {
+        this.fetchMetaTasks(this.taskIDs, () => {
+          that.taskMaps = {}
+          that.tasks.forEach(task => {
+            that.taskMaps[task.id] = {}
+            task.options.forEach(op => {
+              that.taskMaps[task.id][op.id] = op.name
+            })
+          })
+          that.enrichMetaAnnos(annos, onAllAnnotationsCallback)
+        })
+      }
+    },
+    showInfoCol (info) {
+      return _.some(this.annos, a => (a[info] || []).length > 0)
+    },
+    enrichMetaAnnos (annos, finishedEnrichmentCallback) {
+      const that = this
+      this.metaAnnos = {}
+      const useDefault = false
+      for (let ent of annos) {
+        this.fetchMetaAnnotations(ent, tasks => {
+          that.$set(that.metaAnnos, ent.id, tasks)
+          if (Object.entries(this.metaAnnos).length === annos.length) {
+            if (finishedEnrichmentCallback) {
+              finishedEnrichmentCallback()
+            }
+          }
+        }, useDefault)
+      }
+    },
+    selectConcept (concept) {
+      this.$emit('select:AnnoSummaryConcept', this.annos.indexOf(concept))
+    },
+    leftContext (concept) {
+      return this.currentDoc.text.slice(_.max([0, concept.start_ind - 20]), concept.start_ind)
+    },
+    rightContext (concept) {
+      const docText = this.currentDoc.text
+      return this.currentDoc.text.slice(concept.end_ind, _.min([docText.length, concept.end_ind + 20]))
+    },
+    highlightClass (concept) {
+      const def = !concept.correct && !concept.deleted && !concept.killed &&
+        !concept.alternative && !concept.manually_created
+      return {
+        'highlight-task-default': def,
+        'highlight-task-new': concept.manually_created,
+        'highlight-task-0': concept.correct,
+        'highlight-task-1': concept.deleted,
+        'highlight-task-2': concept.killed,
+        'highlight-task-3': concept.alternative
+      }
+    }
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js b/v1/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js
new file mode 100644
index 000000000..2573a6694
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/plugins/fontawesome.js
@@ -0,0 +1,8 @@
+import { library } from '@fortawesome/fontawesome-svg-core'
+import { fas } from '@fortawesome/free-solid-svg-icons'
+import { far } from '@fortawesome/free-regular-svg-icons'
+import { fab } from '@fortawesome/free-brands-svg-icons'
+
+library.add(fas)
+library.add(fab)
+library.add(far)
diff --git a/v1/medcat-trainer/webapp/frontend/src/router/index.ts b/v1/medcat-trainer/webapp/frontend/src/router/index.ts
new file mode 100644
index 000000000..15eb3f23b
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/router/index.ts
@@ -0,0 +1,51 @@
+import { createRouter, createWebHistory } from 'vue-router'
+import Home from '../views/Home.vue'
+import TrainAnnotations from '../views/TrainAnnotations.vue'
+import Demo from '../views/Demo.vue'
+import Metrics from '../views/Metrics.vue'
+import MetricsHome from '../views/MetricsHome.vue'
+import ConceptDatabase from '../views/ConceptDatabase.vue'
+
+
+const router = createRouter({
+  history: createWebHistory(import.meta.env.BASE_URL),
+  routes: [
+      {
+          path: '/train-annotations/:projectId/:docId?',
+          name: 'train-annotations',
+          component: TrainAnnotations,
+          props: true,
+          // query: true
+      },
+      {
+          path: '/metrics-reports/',
+          name: 'metrics-reports',
+          component: MetricsHome,
+      },
+      {
+          path: '/metrics/:reportId/',
+          name: 'metrics',
+          component: Metrics,
+          props: router => ({reportId: parseInt(router.params.reportId)})
+      },
+      {
+          path: '/demo',
+          name: 'demo',
+          component: Demo
+      },
+      {
+          path: '/model-explore',
+          name: 'model-explore',
+          component: ConceptDatabase
+      },
+      {
+          path: '/:pathMatch(.*)',
+          name: 'home',
+          component: Home
+      }
+  ]
+})
+
+export default router
+
+
diff --git a/v1/medcat-trainer/webapp/frontend/src/styles/_common.scss b/v1/medcat-trainer/webapp/frontend/src/styles/_common.scss
new file mode 100644
index 000000000..b1c7ed09d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/styles/_common.scss
@@ -0,0 +1,76 @@
+@import "variables.scss";
+
+.full-height {
+  height: 100%;
+}
+
+// common help modal styles
+.help {
+  float: right;
+  font-size: 22px;
+}
+
+.help-modal .modal-container {
+  width: 80%;
+}
+
+.help-modal-body {
+  max-height: 500px;
+  overflow: auto;
+}
+
+.summary-modal .modal-container {
+  width: 90%;
+}
+
+$blur-radius: 10px;
+
+@each $i, $col in $task-colors {
+  .task-color-text-#{$i} {
+    color: $col;
+  }
+}
+
+@each $i, $col in $task-colors {
+  .task-btn-#{$i} {
+    border-color: $col;
+    color: $col;
+
+    &:hover {
+      background-color: $col;
+      color: white;
+    }
+  }
+}
+
+.title {
+  padding: 5px 15px;
+  font-size: 14pt;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+  color: black;
+  height: $title-height;
+}
+
+@each $i, $col in $task-colors {
+  .highlight-task-#{$i} {
+    background-color: $col;
+    border-radius: 3px;
+    cursor: pointer;
+    border: 1px solid $col;
+    color: white;
+  }
+}
+
+.alert-enter-active, .alert-leave-active {
+  transition: opacity .5s;
+}
+
+.alert-enter, .alert-leave-to {
+  opacity: 0;
+}
+
+.overlay-message {
+  padding-left: 10px;
+  opacity: 0.5;
+}
+
diff --git a/v1/medcat-trainer/webapp/frontend/src/styles/_functions.scss b/v1/medcat-trainer/webapp/frontend/src/styles/_functions.scss
new file mode 100644
index 000000000..7583c8c96
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/styles/_functions.scss
@@ -0,0 +1,8 @@
+@use 'sass:math';
+
+@function abs($value) {
+  @return math.abs($value);
+}
+
+// solution described here: https://github.com/twbs/bootstrap/issues/39028
+// for deprecated warnings for older version of bootstrap 4.x
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/frontend/src/styles/_tabs.scss b/v1/medcat-trainer/webapp/frontend/src/styles/_tabs.scss
new file mode 100644
index 000000000..ff4d270d1
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/styles/_tabs.scss
@@ -0,0 +1,67 @@
+// FROM: https://github.com/spatie/vue-tabs-component/blob/master/docs/resources/tabs-component.css
+// For the installed Vue.js Component: https://github.com/spatie/vue-tabs-component
+.tabs-component {
+}
+
+.tabs-component-tabs {
+  margin-bottom: 5px;
+  padding-inline-start: 15px;
+  box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+}
+
+@media (min-width: 700px) {
+  .tabs-component-tabs {
+    border: 0;
+    align-items: stretch;
+    display: flex;
+    justify-content: flex-start;
+    margin-bottom: -1px;
+  }
+}
+
+.tabs-component-tab {
+  font-size: 14px;
+  margin-right: 0;
+  list-style: none;
+}
+
+.tabs-component-tab.is-active {
+  border-bottom: 4px solid rgba(0, 114, 206, .2);;
+}
+
+@media (min-width: 700px) {
+  .tabs-component-tab {
+    background-color: #fff;
+    transition: transform .3s ease;
+  }
+
+  .tabs-component-tab.is-active {
+    z-index: 2;
+    transform: translateY(0);
+  }
+}
+
+.tabs-component-tab-a {
+  align-items: center;
+  color: inherit;
+  display: flex;
+  padding: .75em 1em;
+  text-decoration: none;
+  &:hover {
+    color: inherit;
+    text-decoration: none;
+  }
+}
+
+.tabs-component-panels {
+  border-radius: 5px;
+  margin-top: 15px;
+}
+
+@media (min-width: 700px) {
+  .tabs-component-panels {
+    border-top-left-radius: 0;
+    background-color: #fff;
+  }
+}
+
diff --git a/v1/medcat-trainer/webapp/frontend/src/styles/_variables.scss b/v1/medcat-trainer/webapp/frontend/src/styles/_variables.scss
new file mode 100644
index 000000000..f79b84446
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/styles/_variables.scss
@@ -0,0 +1,68 @@
+// NHS Brand Colours
+// https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/nhs-digital-style-guidelines/how-we-look/colour-palette
+
+// functions required before bootstrap import to avoid deprecation warning issue described in functions.scss
+@import './functions.scss';
+@import 'bootstrap/scss/bootstrap';
+
+//$body-font-family: Montserrat;
+//
+//.v-application {
+//  .display-1,
+//  .display-2,
+//  .display-3,
+//  .display-4,
+//  .headline,
+//  .title,
+//  .subtitle-1,
+//  .subtitle-2,
+//  .body-1,
+//  .body-2,
+//  .caption,
+//  .overline {
+//    font-family: $body-font-family !important;
+//  }
+//}
+
+$theme-colors: (
+    "primary": #0072CE, //NHS Bright Blue
+    "danger": #DA291C, //NHS Emergency Services Red
+    "warning": #768692, // NHS Mid Grey
+    "info": #E8EDEE, // NHS Pale Grey
+    "success": #009639, // NHS Green
+    "light-success": #32ab60 // slightly lighter than NHS Green
+);
+
+$primary-alt: #005EB8;  //NHS Blue
+
+$navbar-bg: #0072CE; // NHS Bright Blue
+
+// colour palette - for backgrounds, borders, text-color etc.
+$color-1: #45503B;
+$color-2: #E5EBEA;
+$color-3: #B098A4;
+$color-4: #45503B;
+$color-5: #747572;
+
+$background: inherit; //$color-2;
+$text: #212B32; // primary text: NHS Dark Grey
+$text-highlight: #212B32;
+$borders: $color-1;
+
+$task-color-0: #0072CE;  // NHS Bright Blue
+$task-color-1: #dc3545;  // NHS Emergency Services Red
+$task-color-2: #8A1538;  // NHS Dark Red
+$task-color-3: #41B6E6;  // NHS Light Blue
+$task-color-4: #AE2573;  // NHS Pink
+
+$task-colors: (
+    "0": $task-color-0,
+    "1": $task-color-1,
+    "2": $task-color-2,
+    "3": $task-color-3,
+    "4": $task-color-4,
+);
+
+$loading-background-color: rgba(108, 117, 125, 0.3);
+
+$title-height: 41px;
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue b/v1/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue
new file mode 100644
index 000000000..692b7abed
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/ConceptDatabase.vue
@@ -0,0 +1,273 @@
+<template>
+  <div class="container-fluid cdb-view">
+    <div class="l-sidebar">
+      <div class="form-group">
+        <label class="title">Concept Database Models</label>
+        <select class="form-control" v-model="selectedConceptDB">
+          <option :value="cdb" v-for="cdb of cdbs" :key="cdb.id">{{cdb.name}}</option>
+        </select>
+      </div>
+      <div v-if="selectedConceptDB" class="form-group concept-search">
+        <concept-picker :restrict_concept_lookup="false"
+                        :cui_filter="[]"
+                        :cdb_search_filter="[selectedConceptDB.id]"
+                        :concept_db="selectedConceptDB.id"
+                        @pickedResult:concept="pickedResult">
+        </concept-picker>
+      </div>
+      <div class="title">Concept Filter</div>
+      <div class="filter-desc">Selected Concepts:
+        <span class="filter-text">{{filterLen}}</span>
+      </div>
+      <div class="selected-nodes">
+        <div class="filter-desc" v-for="node of checkedNodes" :key="node.name" @click="toggleNodeChildViz(node.cui)">
+          <font-awesome-icon class="ch-toggle" v-if="nodeChildOpen.indexOf(node.cui) !== -1" icon="chevron-down"/>
+          <font-awesome-icon class="ch-toggle" v-else icon="chevron-right"/>
+          <div class="selected-node">{{node.pretty_name}} <span class="sctid">- {{node.cui}}</span></div>
+          <font-awesome-icon icon="times" class="remove-selected-node" @click.stop @click="removeNode(node)"/>
+          <div v-if="nodeChildOpen.indexOf(node.cui) !== -1" @click.stop class="filter-ch-node" v-for="childNode of generatedFilter[node.cui]"
+               @click="toggleExcludedCUI(childNode.cui)">
+            <div class="node-icon-container">
+              <font-awesome-icon icon="fa-regular fa-square-check" class="ch-node-icon" v-if="excludedNodes.indexOf(childNode.cui) === -1" />
+              <font-awesome-icon icon="fa-regular fa-square" class="ch-node-icon" v-else />
+            </div>
+            <span class="selected-node">
+              {{childNode.pretty_name}} <span class="sctid">- {{childNode.cui}}</span>
+            </span>
+          </div>
+        </div>
+      </div>
+      <div id="concept-filter" class="concept-filter-footer">
+        <button :disabled="filterLen === 0" class="btn btn-danger clear-filter" @click="clearFilter">Clear Filter</button>
+        <button :disabled="exportingFilter || filterLen === 0" id="export-filter-btn" class="btn btn-primary export-filter" @click="exportFilter">
+          <span v-if="!exportingFilter">Export Filter</span>
+          <font-awesome-icon v-if="exportingFilter" icon="spinner" spin size="xs" />
+        </button>
+        <v-tooltip>
+          Calculate all child concepts and download as a .json file - to upload into a Trainer project
+        </v-tooltip>
+      </div>
+    </div>
+    <div class="view-port">
+      <concept-database-viz v-if="selectedConceptDB !== null" :cdb="selectedConceptDB"
+                            :checkedNodes="checkedNodes"
+                            :selectedCui="selectedCui"
+                            @select:node="selectNode">
+      </concept-database-viz>
+    </div>
+  </div>
+</template>
+
+<script>
+import _ from "lodash"
+import ConceptDatabaseViz from '@/components/models/ConceptDatabaseViz.vue'
+import ConceptPicker from '@/components/common/ConceptPicker.vue'
+
+export default {
+  name: 'ConceptDatabase',
+  components: { ConceptPicker, ConceptDatabaseViz },
+  data () {
+    return {
+      cdbs: [],
+      selectedConceptDB: null,
+      checkedNodes: [],
+      selectedCui: '',
+      filterLen: 0,
+      generatedFilter: {},
+      nodeChildOpen: [],
+      excludedNodes: [],
+      exportingFilter: false
+    }
+  },
+  created () {
+    let cdbList = []
+    let that = this
+    const baseUrl = '/api/concept-dbs/'
+    let getCDBs = function (url) {
+      that.$http.get(url).then(resp => {
+        if (!resp.data.next) {
+          that.cdbs = cdbList.concat(_.uniqBy(resp.data.results, r => r.id))
+        } else {
+          const nextUrl = `${baseUrl}?${resp.data.next.split('?').slice(-1)}`
+          cdbList = cdbList.concat(_.uniqBy(resp.data.results, r => r.id))
+          getCDBs(nextUrl)
+        }
+      })
+    }
+    getCDBs(baseUrl)
+  },
+  methods: {
+    pickedResult (res) {
+      // picked result is used to search upwards to find path to root. via backend...
+      if (res) {
+        this.selectedCui = res.cui
+      }
+    },
+    selectNode (node) {
+      const idxOf = this.checkedNodes.indexOf(node)
+      if (idxOf === -1) {
+        this.checkedNodes.push(node)
+        this.nodeChildOpen.push(node.cui)
+        this.generateFilter()
+      }
+    },
+    removeNode (nodeToggled) {
+      const idxOf = this.checkedNodes.indexOf(nodeToggled)
+      this.checkedNodes.splice(idxOf, 1)
+      this.generateFilter()
+    },
+    generateFilter () {
+      const payload = this.checkedNodes.map(r => r.cui)
+      this.$http.post('/api/generate-concept-filter/',
+        { 'cuis': payload, 'cdb_id': this.selectedConceptDB.id }).then(resp => {
+        this.generatedFilter = resp.data.filter
+        this.filterLen = resp.data.filter_len
+      })
+    },
+    clearFilter () {
+      this.checkedNodes = []
+      this.filterLen = 0
+      this.generatedFilter = {}
+      this.excludedNodes = []
+      this.nodeChildOpen = []
+    },
+    toggleNodeChildViz (cui) {
+      const idxOf = this.nodeChildOpen.indexOf(cui)
+      if (idxOf === -1) {
+        this.nodeChildOpen.push(cui)
+      } else {
+        this.nodeChildOpen.splice(idxOf, 1)
+      }
+    },
+    toggleExcludedCUI (cui) {
+      const idxOf = this.excludedNodes.indexOf(cui)
+      if (idxOf === -1) {
+        this.excludedNodes.push(cui)
+        this.recalcFilterLen()
+      } else {
+        this.excludedNodes.splice(idxOf, 1)
+        this.recalcFilterLen()
+      }
+    },
+    recalcFilterLen () {
+      this.filterLen = _.keys(this.generatedFilter).concat(
+        _.flatten(_.values(this.generatedFilter))
+          .map(i => i.cui)
+          .filter(i => this.excludedNodes.indexOf(i) === -1)
+      ).length
+    },
+    exportFilter () {
+      const payload = {
+        'cuis': this.checkedNodes.map(r => r.cui),
+        'cdb_id': this.selectedConceptDB.id,
+        'excluded_nodes': this.excludedNodes
+      }
+      this.exportingFilter = true
+      this.$http.post('/api/generate-concept-filter-json/', payload).then(resp => {
+        const url = window.URL.createObjectURL(new Blob([JSON.stringify(resp.data)], {type: 'application/json'}))
+        const link = document.createElement('a')
+        link.href = url
+        link.download = resp.headers['content-disposition'].split('=')[1]
+        link.click()
+        this.exportingFilter = false
+      })
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.cdb-view {
+  height: calc(100% - 71px);
+  display: flex;
+}
+
+.filter-desc {
+  padding: 5px 5px;
+}
+
+.view-port {
+  flex: 1 1 auto;
+  display: flex;
+}
+
+.l-sidebar {
+  display: flex;
+  flex-direction: column;
+  flex: 0 0 450px;
+  height: 100%;
+
+  .form-group {
+    width: 95%;
+  }
+
+  div {
+    flex-direction: row;
+    flex: 0 0 42px;
+  }
+
+  div.selected-nodes {
+    flex: 1 1 auto;
+    overflow-y: auto;
+    box-shadow: 0 5px 5px -5px rgba(0,0,0,0.2);
+  }
+
+  .filter-text {
+    padding: 10px 10px 0 0;
+  }
+
+  .clear-filter {
+    margin: 10px 10px 0 0;
+  }
+
+  .export-filter {
+    float: right;
+    margin: 10px 10px 0 0;
+  }
+}
+
+.selected-node {
+  display: inline-block;
+  width: calc(100% - 20px - 25px); /** icons either site **/
+}
+
+.ch-toggle {
+  width: 20px;
+  padding-right: 2px;
+}
+
+.filter-ch-node {
+  padding-left: 15px;
+  margin: 1px;
+  &:hover {
+    box-shadow: rgba(149, 157, 165, 0.2) 0 8px 24px;
+    cursor: pointer;
+  }
+
+  .ch-node-icon {
+    padding-right: 2px;
+  }
+}
+
+.sctid {
+  opacity: .4;
+}
+
+.node-icon-container {
+  display: inline-block;
+  vertical-align: center;
+  font-size: 18px;
+  padding-right: 3px;
+}
+
+.remove-selected-node {
+  width: 20px;
+  display: inline-block;
+  color: $danger;
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/Demo.vue b/v1/medcat-trainer/webapp/frontend/src/views/Demo.vue
new file mode 100644
index 000000000..2a3c28ce6
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/Demo.vue
@@ -0,0 +1,156 @@
+<template>
+  <div class="container-fluid demo">
+    <div class="demo-text">
+      <form @submit.prevent>
+        <div class="form-group">
+          <label>Project Model:</label>
+          <select class="form-control" v-model="selectedProject">
+            <option :value="proj" v-for="proj of projects" :key="proj.id">{{proj.name}}
+            </option>
+          </select>
+        </div>
+        <div class="form-group">
+          <label>Text to Annotate:</label>
+          <textarea v-model="exampleText" class="form-control" name="text" rows="10"></textarea>
+        </div>
+        <div class="form-group">
+          <label>CUI Filter</label>
+          <textarea v-model="cuiFilters" class="form-control" name="cui"
+                    rows="3" placeholder="Comma separated list: S-91175000, S-84757009"></textarea>
+        </div>
+        <button @click="annotate()" class="btn btn-primary">Annotate</button>
+      </form>
+    </div>
+    <div class="view-port">
+      <div class="clinical-text">
+        <clinical-text :loading="loadingMsg" :text="annotatedText" :ents="ents"
+                       :taskName="task" :taskValues="taskValues" @select:concept="selectEntity"></clinical-text>
+      </div>
+      <div class="sidebar">
+        <concept-summary :selectedEnt="currentEnt" :project="selectedProject"
+                         :searchFilterDBIndex="searchFilterDBIndex"></concept-summary>
+      </div>
+    </div>
+  </div>
+</template>
+
+<script>
+import ClinicalText from '@/components/common/ClinicalText.vue'
+import ConceptSummary from '@/components/common/ConceptSummary.vue'
+
+const TASK_NAME = 'Concept Anno'
+const VALUES = ['Val']
+
+export default {
+  name: 'Demo',
+  components: {
+    ClinicalText,
+    ConceptSummary
+  },
+  data () {
+    return {
+      exampleText: '',
+      projects: [],
+      selectedProject: {},
+      cuiFilters: '',
+      ents: [],
+      currentEnt: {},
+      annotatedText: '',
+      loadingMsg: null,
+      task: TASK_NAME,
+      taskValues: VALUES,
+      searchFilterDBIndex: null
+    }
+  },
+  created () {
+    let projectList = []
+    let that = this
+    const baseUrl = '/api/project-annotate-entities/'
+    let getProjects = function (url) {
+      that.$http.get(url).then(resp => {
+        if (resp.data.count === (projectList.length + resp.data.results.length)) {
+          that.projects = projectList.concat(resp.data.results)
+        } else {
+          const nextUrl = `${baseUrl}?${resp.data.next.split('?').slice(-1)}`
+          projectList = projectList.concat(resp.data.results)
+          getProjects(nextUrl)
+        }
+      })
+    }
+    getProjects(baseUrl)
+  },
+  methods: {
+    annotate () {
+      const payload = {
+        project_id: this.selectedProject.id,
+        message: this.exampleText,
+        cuis: this.cuiFilters,
+      }
+      this.loadingMsg = 'Annotating Text...'
+      this.$http.post('/api/annotate-text/', payload).then(resp => {
+        this.loadingMsg = null
+        this.ents = resp.data['entities'].map(e => {
+          e.assignedValues = {}
+          e.assignedValues[this.task] = this.taskValues[0]
+          return e
+        })
+        this.currentEnt = this.ents.length > 0 ? this.ents[0] : null
+        this.annotatedText = resp.data['message']
+      })
+    },
+    selectEntity (entIndex) {
+      this.currentEnt = this.ents[entIndex]
+    },
+    fetchCDBSearchIndex () {
+      if (this.selectedProject.cdb_search_filter.length > 0) {
+        this.$http.get(`/api/concept-dbs/${this.selectedProject.cdb_search_filter[0]}/`).then(resp => {
+          if (resp.data) {
+            this.searchFilterDBIndex = `${resp.data.name}_id_${this.selectedProject.cdb_search_filter}`
+          }
+        })
+      }
+    }
+  },
+  watch: {
+    'selectedProject': {
+      handler () {
+        this.fetchCDBSearchIndex()
+      }
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.demo {
+  height: calc(100% - 71px);
+  display: flex;
+}
+
+.demo-text {
+  flex-direction: column;
+  flex: 0 0 400px;
+  height: 100%;
+}
+
+.view-port {
+  flex: 1 1 auto;
+  display: flex;
+}
+
+.clinical-text {
+  height:100%;
+  flex-direction: column;
+  flex: 1 1 auto;
+}
+
+.sidebar {
+  height:100%;
+  flex-direction: column;
+  flex: 0 0 350px;
+}
+
+form {
+  margin: 5%;
+}
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/Home.vue b/v1/medcat-trainer/webapp/frontend/src/views/Home.vue
new file mode 100644
index 000000000..9d5a720cb
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/Home.vue
@@ -0,0 +1,210 @@
+<template>
+  <div class="full-height">
+    <login v-if="!loginSuccessful" @login:success="loggedIn()"></login>
+    <transition name="alert"><div class="alert alert-danger" v-if="routeAlert" role="alert">{{routeAlert}}</div></transition>
+    <div class="view-bar" v-if="isAdmin">
+      <button class="btn btn-outline-primary" @click="projectGroupView = !projectGroupView">
+        <span v-if="projectGroupView">Single Projects</span>
+        <span v-if="!projectGroupView">Project Groups</span>
+      </button>
+    </div>
+    <div v-if="projectGroupView" class="full-height project-group-table">
+      <v-data-table id="projectGroupTable" :items="projectGroups.items"
+                    :headers="projectGroups.headers"
+                    :hover="true"
+                    v-if="!loadingProjects"
+                    color="primary"
+                    @click:row="selectProjectGroup"
+                    hide-default-footer
+                    :items-per-page="-1">
+        <template v-slot:item.last_modified="{ item }">
+          {{new Date(item.last_modified).toLocaleString()}}
+        </template>
+      </v-data-table>
+      <modal v-if="selectedProjectGroup" :closable="true" @modal:close="selectedProjectGroup = null" class="summary-modal">
+        <template #header>
+          <h3>Project Group: {{selectedProjectGroup.name}}</h3>
+          <br>
+          <p>{{selectedProjectGroup.description}}</p>
+        </template>
+        <template #body>
+          <project-list :project-items="selectedProjectGroup.items" :is-admin="isAdmin"
+                        :cdb-search-index-status="cdbSearchIndexStatus"></project-list>
+        </template>
+      </modal>
+    </div>
+    <project-list v-if="!projectGroupView" :project-items="projects.items" :is-admin="isAdmin"
+                  :cdb-search-index-status="cdbSearchIndexStatus"></project-list>
+  </div>
+
+</template>
+<script>
+import _ from 'lodash'
+
+import Modal from '@/components/common/Modal.vue'
+import Login from '@/components/common/Login.vue'
+import EventBus from '@/event-bus'
+import ProjectList from "@/components/common/ProjectList.vue"
+
+
+export default {
+  name: 'Home',
+  components: {
+    ProjectList,
+    Login,
+    Modal
+  },
+  data () {
+    return {
+      projectGroupView: false,
+      projectGroups: {
+        items: [],
+        headers: [
+          { value: 'name', title: 'Name' },
+          { value: 'description', title: 'Description' },
+          { value: 'last_modified', title: 'Last Modified' }
+        ]
+      },
+      projects: {
+        items: []
+      },
+      routeAlert: false,
+      loginSuccessful: false,
+      loadingProjects: false,
+      isAdmin: false,
+      selectedProjectGroup: null,
+      cdbSearchIndexStatus: {}
+    }
+  },
+  created () {
+    this.loggedIn()
+  },
+  watch: {
+    '$route': 'loggedIn'
+  },
+  mounted () {
+    EventBus.$on('login:success', this.loggedIn)
+  },
+  beforeDestroy () {
+    EventBus.$off('login:success')
+  },
+  methods: {
+    loggedIn () {
+      this.$http.get('/api/behind-rp/').then(resp => {
+        if (!resp.data && this.$route.path !== '/') {
+          this.routeAlert = `Invalid URL: ${this.$route.path}, redirected to the MedCAT Home page.`
+          const that = this
+          setTimeout(() => {
+            that.routeAlert = false
+          }, 5000)
+        }
+      })
+      // assume if there's an api-token we've logged in before and will try get projects
+      // fallback to logging in otherwise
+      if (this.$cookies.get('api-token')) {
+        this.loginSuccessful = true
+        this.isAdmin = this.$cookies.get('admin') === 'true'
+        this.fetchProjects()
+      }
+    },
+    fetchProjectGroups () {
+      const projectGroupIds = new Set(this.projects.items.filter(p => p.group !== null).map(p => p.group))
+      this.$http.get(`/api/project-groups/?id__in=${Array.from(projectGroupIds).join(',')}`).then(resp => {
+        this.projectGroups.items = resp.data.results
+      })
+    },
+    fetchProjects () {
+      this.loadingProjects = true
+      if (this.loginSuccessful) {
+        this.$http.get('/api/project-annotate-entities/').then(resp => {
+          this.projects.items = resp.data.results
+          if (resp.data.next) {
+            this.fetchPage(resp.data.next)
+          } else {
+            this.postLoadedProjects()
+          }
+        }).catch(() => {
+          this.$cookies.remove('username')
+          this.$cookies.remove('api-token')
+          this.$cookies.remove('admin')
+          this.$cookies.remove('user-id')
+          this.loadingProjects = false
+          this.loginSuccessful = false
+        })
+      }
+    },
+    fetchPage (pageUrl) {
+      this.$http.get('/' + pageUrl.split('/').slice(-3).join('/')).then(resp => {
+        this.projects.items = this.projects.items.concat(resp.data.results)
+        if (resp.data.next) {
+          this.fetchPage(resp.data.next)
+        } else {
+          this.postLoadedProjects()
+        }
+      })
+    },
+    postLoadedProjects () {
+      this.fetchSearchIndexStatus()
+      this.fetchProjectProgress()
+      this.fetchProjectGroups()
+      this.loadingProjects = false
+    },
+
+    fetchSearchIndexStatus () {
+      const cdbIds = _.uniq(this.projects.items.map(p => p.cdb_search_filter[0])).filter(id => id)
+      this.$http.get(`/api/concept-db-search-index-created/?cdbs=${cdbIds.join(',')}`).then(resp => {
+        this.cdbSearchIndexStatus = resp.data.results
+      }).catch(err => {
+        console.log(err)
+      })
+    },
+    fetchProjectProgress () {
+      const projectIds = this.projects.items.map(p => p.id)
+      if (projectIds.length > 0) {
+        this.$http.get(`/api/project-progress/?projects=${projectIds}`).then(resp => {
+          this.projects.items = this.projects.items.map(item => {
+            item['progress'] = resp.data[item.id].validated_count
+            item['progress_max'] = resp.data[item.id].dataset_count
+            return item
+          })
+        })
+      }
+    },
+    selectProjectGroup(_, { item }) {
+      if (item) {
+        this.selectedProjectGroup = item
+        this.selectedProjectGroup.items = this.projects.items.filter(p => p.group === this.selectedProjectGroup.id)
+      }
+    }
+  }
+}
+</script>
+
+<style lang="scss">
+h3 {
+  margin: 10%
+}
+
+.view-bar {
+  height: 30px;
+  padding: 5px 0;
+  width: 95%;
+  margin: auto;
+}
+
+.project-group-table {
+  height: calc(100% - 30px);
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+}
+
+
+.home-title {
+  font-size: 23px;
+  padding: 30px 0;
+}
+
+
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/Metrics.vue b/v1/medcat-trainer/webapp/frontend/src/views/Metrics.vue
new file mode 100644
index 000000000..adbc12708
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/Metrics.vue
@@ -0,0 +1,771 @@
+<template>
+  <div class="metrics-view">
+    <div class="metrics-header">
+      <v-row class="header-row">
+        <div class="report-name-label">
+          Metrics Report:
+        </div>
+        <span v-if="!editingName">
+          <span v-if="!reportName" class="no-report-name">n/a</span>
+          <span v-if="reportName" class="completed-report-name">{{ reportName }}</span>
+          <font-awesome-icon icon="pencil" class="edit-name-icon" @click="editingName = true"></font-awesome-icon>
+        </span>
+        <span class="report-name-input" v-if="editingName">
+          <v-text-field placeholder="Report name"
+                        class="report-name-input"
+                        variant="underlined"
+                        @update:focused="updateName($event)"
+                        v-model="editedReportName"></v-text-field>
+        </span>
+      </v-row>
+
+    </div>
+    <div class="viewport-full-height">
+      <v-overlay :model-value="loading"
+                 class="align-center justify-center"
+                 color="primary"
+                 activator="parent"
+                 :disabled="true"
+                 :persistent="true">
+        <v-progress-circular color="primary" indeterminate></v-progress-circular>
+        <span class="overlay-message">Loading metrics report...</span>
+      </v-overlay>
+
+      <div class="viewport">
+        <v-tabs v-model="tab">
+          <v-tab :value="'summary_stats'">Summary Stats</v-tab>
+          <v-tab :value="'annotations'">
+            Annotations
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>A table of raw annotations, and their annotationstatus</span>
+            </v-tooltip>
+          </v-tab>
+          <v-tab :value="'concept_summary'">
+            Concept Summary
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>Model predictions compared to gold standard annotated dataset<br>
+              after evaluating across the entire dataset grouped by each unique concept</span>
+            </v-tooltip>
+          </v-tab>
+          <v-tab :value="'meta_anns'" v-if="metaAnnsSummary.items">
+            Meta Annotations
+            <v-tooltip location="bottom">
+              <template v-slot:activator="{ props }">
+                <font-awesome-icon v-bind="props" icon="info-circle" class="ml-2" />
+              </template>
+              <span>All scores and averages are calculated on a per-concept basis.<br>
+              Each concept's performance is evaluated independently<br>
+              for each meta annotation task in the dataset.</span>
+            </v-tooltip>
+          </v-tab>
+        </v-tabs>
+
+        <div class="tab-pane">
+          <KeepAlive>
+            <div v-if="tab === 'summary_stats'">
+              <v-row class="summary-row">
+                <v-card class="summary-card">
+                  <v-card-title># Projects </v-card-title>
+                  <v-card-text>{{ Object.keys(projects2name).length }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Documents</v-card-title>
+                  <v-card-text>{{ Object.values(projects2doc_ids).map(doc_ids => doc_ids.length).reduce((a, b) => a + b, 0) }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Annotations</v-card-title>
+                  <v-card-text>{{ annoSummary.items ? annoSummary.items.length : 0 }}</v-card-text>
+                </v-card>
+
+                <v-card class="summary-card">
+                  <v-card-title># Concepts</v-card-title>
+                  <v-card-text>{{ conceptSummary.items ? conceptSummary.items.length : 0 }}</v-card-text>
+                </v-card>
+
+                <v-tooltip location="bottom">
+                  <template v-slot:activator="{ props }">
+                    <v-card v-bind="props" class="summary-card">
+                      <v-card-title>Annotation Overlap</v-card-title>
+                      <v-card-text>{{ calculateOverlap(projects2doc_ids) }}%</v-card-text>
+                    </v-card>
+                  </template>
+                  <span>Percentage of documents that<br>overlap between projects</span>
+                </v-tooltip>
+
+                <v-tooltip location="bottom">
+                  <template v-slot:activator="{ props }">
+                    <v-card v-bind="props" class="summary-card">
+                      <v-card-title>Annotator Agreement</v-card-title>
+                      <v-card-text>{{ calculateAnnotatorAgreement(annoSummary) }}%</v-card-text>
+                    </v-card>
+                  </template>
+                  <span>Percentage of annotations that are in agreement<br>
+                    across all projects and therefore documents.<br>
+                    Documents identified by their document name.</span>
+                </v-tooltip>
+
+                <v-card class="summary-card">
+                  <v-card-title>Total Annotation Time</v-card-title>
+                  <v-card-text> {{ elapsedTime(annoSummary.items || []) }} </v-card-text>
+                </v-card>
+
+              </v-row>
+
+              <div>
+                <div ref="plotElement"></div>
+              </div>
+
+              <v-data-table :items="userStats.items" :headers="userStats.headers" :hover="true" hide-default-footer
+                            :items-per-page="-1"></v-data-table>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'annotations'">
+              <annotations-table
+                :items="annoSummary.items">
+              </annotations-table>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'concept_summary'">
+              <concept-summary
+                :items="conceptSummary.items"
+                :docs2text="docs2text">
+              </concept-summary>
+            </div>
+          </KeepAlive>
+
+          <KeepAlive>
+            <div v-if="tab === 'meta_anns'">
+              <v-row class="summary-row">
+                <template v-for="task in Object.keys(metaAnnsSummary.items[0]?.meta_tasks)" :key="task">
+                  <v-tooltip location="bottom">
+                    <template v-slot:activator="{ props }">
+                      <v-card v-bind="props" class="summary-card">
+                        <v-card-title>{{ task }} Macro Avg. F1</v-card-title>
+                        <v-card-text>{{ calculateMetaTaskAverage(task, 'macro', 'f1') }}%</v-card-text>
+                      </v-card>
+                    </template>
+                    <span>Macro average treats all classes equally, regardless of their frequency.<br>
+                    It calculates the metric for each class independently and then averages them.<br>
+                    This is useful when all classes are equally important.</span>
+                  </v-tooltip>
+
+                  <v-tooltip location="bottom">
+                    <template v-slot:activator="{ props }">
+                      <v-card v-bind="props" class="summary-card">
+                        <v-card-title>{{ task }} Micro Avg. F1</v-card-title>
+                        <v-card-text>{{ calculateMetaTaskAverage(task, 'micro', 'f1') }}%</v-card-text>
+                      </v-card>
+                    </template>
+                    <span>Micro average weights each class by its frequency in the dataset.<br>
+                    It aggregates the contributions of all classes to compute the average metric.<br>
+                    This is useful when class imbalance exists and you want to account for it.</span>
+                  </v-tooltip>
+                </template>
+              </v-row>
+
+              <v-data-table :items="metaAnnsSummary.items"
+                            :headers="metaAnnsSummary.headers"
+                            :hover="true"
+                            class="meta-anno-summary"
+                            hide-default-footer
+                            :items-per-page="-1">
+                <template #item="{ item }">
+                  <tr>
+                    <td>{{ item.cui }}</td>
+                    <td>{{ item.concept_name }}</td>
+                    <template v-for="task in Object.keys(item.meta_tasks)" :key="task">
+                      <!-- Macro metrics -->
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.f1" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.prec" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].macro.rec" />
+                      </td>
+                      <!-- Micro metrics -->
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.f1" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.prec" />
+                      </td>
+                      <td>
+                        <metric-cell :value="item.meta_tasks[task].micro.rec" />
+                      </td>
+                    </template>
+                  </tr>
+                </template>
+              </v-data-table>
+            </div>
+          </KeepAlive>
+        </div>
+      </div>
+
+    </div>
+  </div>
+</template>
+
+<script>
+import Plotly from 'plotly.js-dist'
+import MetricCell from '@/components/metrics/MetricCell.vue'
+import AnnotationsTable from '@/components/metrics/AnnotationsTable.vue'
+import ConceptSummary from '@/components/metrics/ConceptSummary.vue'
+
+export default {
+  name: 'Metrics.vue',
+  components: {MetricCell, AnnotationsTable, ConceptSummary},
+  props: {
+    reportId: Number
+  },
+  created() {
+    if (this.reportId || (this.$route.query && this.$route.query.reportId)) {
+      this.loading = true
+      let reportId = this.reportId ? this.reportId : this.$route.query.reportId
+      this.$http.get(`/api/metrics/${reportId}/`).then(resp => {
+        this.loading = false
+        this.reportName = resp.data.results.report_name || resp.data.results.report_name_generated
+        this.userStats.items = resp.data.results.user_stats
+        this.conceptSummary.items = resp.data.results.concept_summary
+
+        this.userStats.items.forEach(userRow => {
+          const user = userRow.user
+          const exampleTypes = [
+            ['tp_examples', 'tps'],
+            ['fn_examples', 'fns'],
+            ['fp_examples', 'fps']
+          ]
+
+          exampleTypes.forEach(([exampleType, countType]) => {
+            userRow[countType] = this.conceptSummary.items.map(item => {
+              return (item[exampleType] || []).filter(i => i.user === user).length
+            }).reduce((a, b) => a + b, 0)
+          })
+        })
+
+        this.docs2text = resp.data.results.docs2text
+        this.projects2doc_ids = resp.data.results.projects2doc_ids
+        this.projects2name = resp.data.results.projects2name
+        this.docs2name = resp.data.results.docs2name
+
+        let anno_summary = resp.data.results.annotation_summary.map(s => {
+          if (s.correct) {
+            s.status = 'Correct'
+          } else if (s.deleted) {
+            s.status = 'Incorrect'
+          } else if (s.alternative) {
+            s.status = 'Alternative'
+          } else if (s.manually_created) {
+            s.status = 'Manually Added'
+          } else if (s.killed) {
+            s.status = 'Terminated'
+          } else if (s.irrelevant) {
+            s.status = 'Irrelevant'
+          }
+          return s
+        })
+        this.annoSummary.items = anno_summary
+        this.metaAnnsSummary.items = resp.data.results.meta_anno_summary
+
+        let summaryHeaders = resp.data.results.meta_anns_task_summary.map(task => {
+          // Create task header with children
+          const taskName = task['name']
+          const taskHeader = {
+            title: taskName,
+            align: 'left',
+            children: [
+              // Macro metrics group
+              {
+                title: 'Macro Avg',
+                align: 'left',
+                children: [
+                  { value: item => `${item.meta_tasks[taskName].macro.f1.toFixed(2)}`, title: 'F1', key: `meta_tasks.${taskName}.macro.f1` },
+                  { value: item => `${item.meta_tasks[taskName].macro.prec.toFixed(2)}`, title: 'Prec', key: `meta_tasks.${taskName}.macro.prec` },
+                  { value: item => `${item.meta_tasks[taskName].macro.rec.toFixed(2)}`, title: 'Rec', key: `meta_tasks.${taskName}.macro.rec`  }
+                ]
+              },
+              // Micro metrics group
+              {
+                title: 'Micro Avg',
+                align: 'left',
+                children: [
+                  { value: item => `${item.meta_tasks[taskName].micro.f1.toFixed(2)}`, title: 'F1', key: `meta_tasks.${taskName}.micro.f1` },
+                  { value: item => `${item.meta_tasks[taskName].micro.prec.toFixed(2)}`, title: 'Prec', key: `meta_tasks.${taskName}.micro.prec` },
+                  { value: item => `${item.meta_tasks[taskName].micro.rec.toFixed(2)}`, title: 'Rec', key: `meta_tasks.${taskName}.micro.rec` }
+                ]
+              }
+            ]
+          }
+          return taskHeader
+        })
+        this.metaAnnsSummary.headers = [...this.metaAnnsSummary.headers, ...summaryHeaders]
+        this.annoChart()
+      })
+    }
+  },
+  data() {
+    return {
+      loading: false,
+      tab: null,
+      reportName: null,
+      editingName: false,
+      editedReportName: null,
+      projects2name: {},
+      projects2doc_ids: {},
+      docs2text: {},
+      docs2name: {},
+      userStats: {
+        headers: [
+          {value: 'user', title: 'User'},
+          {value: 'count', title: 'Count'},
+          {value: 'tps', title: 'True Positives'},
+          {value: 'fns', title: 'False Negatives'},
+          {value: 'fps', title: 'False Positives'}
+        ]
+      },
+      annoSummary: {},
+      conceptSummary: {},
+      metaAnnsSummary: {
+        headers: [
+          { value: 'cui', title: 'CUI' },
+          { value: 'concept_name', title: 'Concept' },
+        ]
+      }
+    }
+  },
+  methods: {
+    annoChart () {
+      // Create plotly chart of annotations per user per day
+      const userDailyCounts = {}
+        const users = new Set()
+
+        // First pass - collect all users and find min/max dates
+        let minDate, maxDate
+        this.annoSummary.items.forEach(ann => {
+          const date = new Date(ann.last_modified)
+          if (!minDate || date < minDate) minDate = date
+          if (!maxDate || date > maxDate) maxDate = date
+          users.add(ann.user)
+        })
+
+        // Initialize counts for all dates for all users
+        // Take a 2 days either side of min and max date.
+        maxDate.setDate(maxDate.getDate() + 2)
+        minDate.setDate(minDate.getDate() - 2)
+        for (const user of users) {
+          userDailyCounts[user] = {}
+          for (let d = new Date(minDate); d <= maxDate; d.setDate(d.getDate() + 1)) {
+            const dateStr = d.toISOString().split('T')[0]
+            userDailyCounts[user][dateStr] = 0
+          }
+        }
+
+        // Count annotations
+        this.annoSummary.items.forEach(ann => {
+          const dateStr = new Date(ann.last_modified).toISOString().split('T')[0]
+          const user = ann.user
+          userDailyCounts[user][dateStr]++
+        })
+
+        const febTestAnns = this.annoSummary.items.filter(ann => {
+          const dateStr = new Date(ann.last_modified).toISOString().split('T')[0]
+          return dateStr === '2025-02-05'
+        })
+        console.log(febTestAnns)
+
+        // Convert to plotly format
+        const plotData = []
+        for (const user in userDailyCounts) {
+          const dates = Object.keys(userDailyCounts[user]).sort()
+          const counts = dates.map(date => userDailyCounts[user][date])
+
+          plotData.push({
+            x: dates,
+            y: counts,
+            type: 'bar',
+            name: user
+          })
+        }
+
+        const layout = {
+          title: 'Daily Annotation Counts by User',
+          barmode: 'group',
+          xaxis: {
+            title: 'Date',
+            type: 'date',
+            range: [minDate, maxDate]
+          },
+          yaxis: {
+            title: 'Number of Annotations'
+          },
+          // Using a selection NHS theme colors
+          colorway: ['#005EB8', '#00A499', '#330072', '#41B6E6', '#AE2573', '#8A1538']
+        }
+
+        Plotly.newPlot(this.$refs.plotElement, plotData, layout)
+    },
+    textFromAnno(anno) {
+      const docId = anno['document id']
+      return this.docs2text[docId]
+    },
+    saveEditedName() {
+      if (this.editingName && this.editedReportName !== '') {
+        const payload = {
+          report_name: this.editedReportName
+        }
+        this.$http.put(`/api/metrics/${this.reportId}/`, payload).then(_ => {
+          this.reportName = this.editedReportName
+          this.editingName = false
+        })
+      }
+    },
+    keydown(e) {
+      if (e.keyCode === 27 && this.editingName) { // esc key
+        this.editingName = false
+      } else if (e.keyCode === 13 && this.editingName) { // enter key
+        if (this.editedReportName) {
+          this.saveEditedName()
+        } else {
+          this.editingName = false
+        }
+      }
+    },
+    updateName (focused) {
+      if (!focused) {
+        if (this.editedReportName !== null) {
+          this.saveEditedName()
+        } else {
+          this.editingName = false
+        }
+      }
+    },
+    calculateOverlap(projects2doc_ids) {
+      if (Object.keys(projects2doc_ids).length < 2) {
+        return 0
+      }
+
+      const projects2docNames = {}
+      for (const projectId in projects2doc_ids) {
+        projects2docNames[projectId] = this.projects2doc_ids[projectId].map(docId => this.docs2name[docId])
+      }
+
+      const projectIds = Object.keys(projects2docNames)
+      const minLength = Math.min(...projectIds.map(id => projects2docNames[id].length))
+      const commonDocs = projects2docNames[projectIds[0]].filter(docId => {
+        return projectIds.every(projectId => projects2docNames[projectId].includes(docId))
+      })
+      return (commonDocs.length / minLength) * 100
+    },
+    elapsedTime (annoSummary) {
+      if (annoSummary.length === 0) {
+        return 'NA'
+      }
+
+      const dates = annoSummary.map(anno => new Date(anno.last_modified))
+      const latestDate = new Date(Math.max.apply(null, dates))
+      const earliestDate = new Date(Math.min.apply(null, dates))
+
+      const diffMs = latestDate - earliestDate
+      const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24))
+      const diffHrs = Math.floor((diffMs % (1000 * 60 * 60 * 24)) / (1000 * 60 * 60))
+      const diffMins = Math.floor((diffMs % (1000 * 60 * 60)) / (1000 * 60))
+
+      if (diffDays > 0) {
+        return `${diffDays}d ${diffHrs}h ${diffMins}m`
+      } else if (diffHrs > 0) {
+        return `${diffHrs}h ${diffMins}m`
+      } else {
+        return `${diffMins}m`
+      }
+    },
+    calculateAnnotatorAgreement(annoSummary) {
+      // Interannotator agreement is the percentage of annotations that are the same across all annotators
+      if (!annoSummary.items || annoSummary.items.length === 0) {
+        return 'NA'
+      }
+      const annotators = new Set()
+      annoSummary.items.forEach(anno => {
+        annotators.add(anno.user)
+      })
+
+      // Group annotations by their document/span
+      const annotationsBySpan = {}
+      annoSummary.items.forEach(anno => {
+        const key = `${anno.document_id}_${anno.start}_${anno.end}`
+        if (!annotationsBySpan[key]) {
+          annotationsBySpan[key] = []
+        }
+        annotationsBySpan[key].push(anno)
+      })
+
+      // Check agreement for each span
+      let agreementCount = 0
+      let totalSpans = 0
+
+      for (const spanAnnotations of Object.values(annotationsBySpan)) {
+        // Only consider spans that all annotators have annotated
+        if (spanAnnotations.length === annotators.size) {
+          totalSpans++
+
+          // Check if all annotations for this span agree
+          const firstAnno = spanAnnotations[0]
+          const allAgree = spanAnnotations.every(anno => {
+            return (
+              anno.correct === firstAnno.correct &&
+              anno.deleted === firstAnno.deleted &&
+              anno.killed === firstAnno.killed &&
+              (
+                // For alternative and manually_created, check CUI match when true
+                (!anno.alternative && !firstAnno.alternative) ||
+                (anno.alternative && firstAnno.alternative && anno.cui === firstAnno.cui)
+              ) &&
+              (
+                (!anno.manually_created && !firstAnno.manually_created) ||
+                (anno.manually_created && firstAnno.manually_created && anno.cui === firstAnno.cui)
+              )
+            )
+          })
+
+          if (allAgree) {
+            agreementCount++
+          }
+        }
+      }
+
+      return totalSpans > 0 ? ((agreementCount / totalSpans) * 100).toFixed(1) : 0
+    },
+    formatMetric(value) {
+      return typeof value === 'number' && !isNaN(value) ? value.toFixed(2) : '-'
+    },
+    calculateMacroAverage(metric) {
+      if (!this.conceptSummary.items || this.conceptSummary.items.length === 0) {
+        return '0.0'
+      }
+      const sum = this.conceptSummary.items.reduce((acc, item) => acc + item[metric], 0)
+      return ((sum / this.conceptSummary.items.length) * 100).toFixed(1)
+    },
+    calculateMicroAverage(metric) {
+      if (!this.conceptSummary.items || this.conceptSummary.items.length === 0) {
+        return '0.0'
+      }
+      let totalTPs = 0
+      let totalFPs = 0
+      let totalFNs = 0
+
+      this.conceptSummary.items.forEach(item => {
+        totalTPs += item.tps
+        totalFPs += item.fps
+        totalFNs += item.fns
+      })
+
+      let precision = totalTPs / (totalTPs + totalFPs)
+      let recall = totalTPs / (totalTPs + totalFNs)
+      let f1 = 2 * (precision * recall) / (precision + recall)
+
+      switch(metric) {
+        case 'cui_prec':
+          return (precision * 100).toFixed(1)
+        case 'cui_rec':
+          return (recall * 100).toFixed(1)
+        case 'cui_f1':
+          return (f1 * 100).toFixed(1)
+        default:
+          return '0.0'
+      }
+    },
+    calculateMetaTaskAverage(task, metricType, metric) {
+      if (!this.metaAnnsSummary.items || this.metaAnnsSummary.items.length === 0) {
+        return '0.0'
+      }
+
+      if (metricType === 'macro') {
+        // For macro average, simply average the metrics across all concepts
+        const sum = this.metaAnnsSummary.items.reduce((acc, item) => acc + item.meta_tasks[task][metricType][metric], 0)
+        return ((sum / this.metaAnnsSummary.items.length) * 100).toFixed(1)
+      } else {
+        // For micro average, we need to weight by the total number of samples per class
+        let totalSamples = 0
+        let weightedSum = 0
+
+        this.metaAnnsSummary.items.forEach(item => {
+          const classes = item.meta_tasks[task].classes
+          Object.values(classes).forEach(classMetrics => {
+            const classTotal = classMetrics.total
+            totalSamples += classTotal
+            weightedSum += classMetrics[metric] * classTotal
+          })
+        })
+
+        return totalSamples > 0 ? ((weightedSum / totalSamples) * 100).toFixed(1) : '0.0'
+      }
+    }
+  },
+  watch: {
+    tab(newTab) {
+      if (newTab === 'summary_stats') {
+        this.$nextTick(() => {
+          this.annoChart()
+        })
+      }
+    }
+  },
+  mounted() {
+    window.addEventListener('keydown', this.keydown)
+  },
+  beforeDestroy() {
+    window.removeEventListener('keydown', this.keydown)
+  }
+}
+</script>
+
+<style lang="scss">
+$metrics-header-height: 50px;
+
+.metrics-view {
+  // full-height minus app header height
+  height: calc(100% - 60px);
+}
+
+.metrics-header {
+  @extend .title;
+  padding: 10px;
+  height: $metrics-header-height;
+}
+
+.header-row {
+  flex-wrap: nowrap;
+  padding: 5px 0;
+}
+
+.report-name-label {
+  padding: 10px;
+  display: inline-block;
+}
+
+.viewport-full-height {
+  height: calc(100% - #{$metrics-header-height});
+  padding: 10px;
+}
+
+.no-report-name {
+  color: #768692; // NHS Mid Grey
+}
+
+.completed-report-name {
+  padding: 10px;
+  display: inline-block;
+  font-style: italic;
+}
+
+.report-name-input {
+  display: inline-block;
+  height: 30px;
+  width: 250px;
+  padding-left: 5px;
+}
+
+.viewport {
+  height: 100%;
+
+  .tab-pane {
+    height: calc(100% - 48px);
+    overflow-y: auto;
+  }
+}
+
+.tabs-component-panels {
+  height: calc(100% - 60px);
+}
+
+.user-stats {
+  overflow-y: auto;
+  height: 100%
+}
+
+.anno-summary {
+  overflow-y: auto;
+  height: 100%
+}
+
+.concept-summary {
+  overflow-y: auto;
+}
+
+.meta-anno-summary {
+  overflow-y: auto;
+  height: 100%
+}
+
+.good-perf {
+  color: #E5EBEA;
+}
+
+.perf-progress {
+  width: 50px;
+}
+
+.edit-name-icon {
+  height: 11px;
+  margin-bottom: 15px;
+  opacity: 0.5;
+
+  &:hover {
+    cursor: pointer;
+  }
+}
+
+.summary-row {
+  padding: 10px 0;
+  margin: 0 !important;
+  display: flex;
+  flex: 1;
+  width: 100%;
+}
+
+.summary-card {
+  padding: 5px;
+  margin: 2px;
+  flex: 1;
+
+  .v-card-title {
+    font-size: 0.9rem;
+    color: $text;
+    padding: 8px;
+  }
+
+  .v-card-text {
+    font-size: 1.5rem;
+    font-weight: bold;
+    text-align: center;
+    padding: 8px;
+    color: $secondary;
+  }
+}
+
+.res-btn {
+  height: 25px;
+  padding: 3px 10px !important;
+  border: 0 !important;
+  &:hover {
+    color: white !important;
+  }
+}
+.v-input--density-default {
+  --v-input-control-height: 30px !important;
+  --v-input-padding-top: 0px !important;
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue b/v1/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue
new file mode 100644
index 000000000..c4a83fb15
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/MetricsHome.vue
@@ -0,0 +1,178 @@
+<template>
+  <div class="full-height metrics-reports-table">
+    <v-data-table :items="reports.items"
+                  :headers="reports.headers"
+                  :hover="true"
+                  @click:row="loadMetrics"
+                  hide-default-footer
+                  :items-per-page="-1">
+      <template #item.projects="{ item }" >
+        <div @click.stop>
+          <v-runtime-template :template="projectsFormatter(item.projects)"></v-runtime-template>
+        </div>
+      </template>
+
+      <template #item.status="{ item }">
+        <span v-if="item.status === 'pending'">Pending
+          <font-awesome-icon icon="fa-regular fa-clock" class="status-icon"></font-awesome-icon>
+        </span>
+        <span v-if="item.status === 'running'">Running
+          <font-awesome-icon icon="spinner" spin class="status-icon"></font-awesome-icon>
+        </span>
+        <span v-if="item.status === 'complete'">Complete
+          <font-awesome-icon icon="check" class="status-icon success"></font-awesome-icon>
+        </span>
+      </template>
+      <template #item.cleanup="{ item }">
+        <div @click.stop>
+          <button class="btn btn-outline-danger" @click="confDeleteReportModal = item"
+                  :disabled="item.status === 'pending' || item.status === 'running'">
+              <font-awesome-icon icon="times"></font-awesome-icon>
+          </button>
+        </div>
+      </template>
+    </v-data-table>
+
+    <v-overlay :model-overlay="loadingReports">
+      <v-progress-circular indeterminate color="'primary'"></v-progress-circular>
+      <span class="overlay-message">Loading Metrics Reports...</span>
+    </v-overlay>
+
+    <modal v-if="confDeleteReportModal" :closable="true" @modal:close="confDeleteReportModal = null">
+      <template #header>
+        <h3>Confirm Delete Metrics Report</h3>
+      </template>
+      <template #body>
+        <div v-if="confDeleteReportModal.status === 'running'">
+          Metrics report still running, this will cancel the running metrics report running job
+        </div>
+        <div v-if="confDeleteReportModal.status === 'complete'">
+          Confirm complete metrics report deletion. To regenerate the report reselect the projects on the
+          home screen and select metrics.
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-danger" @click="confRemoval">Confirm</button>
+      </template>
+    </modal>
+
+  </div>
+</template>
+
+<script>
+import VRuntimeTemplate from 'vue3-runtime-template'
+import Modal from '@/components/common/Modal.vue'
+
+export default {
+  name: "MetricsHome",
+  components: {Modal, VRuntimeTemplate,},
+  props: {
+  },
+  data () {
+    return {
+      loadingReports: false,
+      confDeleteReportModal: null,
+      projects: {},
+      reports: {
+        items: [],
+        headers: [
+          { value: 'report_id', title: 'ID' },
+          { value: 'report_name', title: 'Report Name' },
+          { value: 'created_user', title: 'Created User' },
+          { value: 'create_time', title: 'Create Time' },
+          { value: 'projects', title: 'Projects' },
+          { value: 'status', title: 'Status' },
+          { value: 'cleanup', title: 'Remove' }
+        ]
+      }
+    }
+  },
+  created () {
+    this.loadingReports = true
+    this.pollReportStatus()
+  },
+  methods: {
+    pollReportStatus () {
+      this.$http.get('/api/metrics-job/').then(resp => {
+        this.loadingReports = false
+        this.reports.items = resp.data.reports.map(i => {
+          const item = {...i}
+          item.report_name = item.report_name || item.report_name_generated
+          return item
+        })
+        this.fetchProjects()
+        setTimeout(this.pollReportStatus, 5000)
+      })
+    },
+    fetchProjects () {
+      this.reports.items.forEach(item => {
+        item.projects.forEach(projId => {
+          if (!Object.keys(this.projects).includes(projId)) {
+            this.$http.get(`/api/project-annotate-entities/${projId}/`).then(resp => {
+              this.projects[projId] = resp.data
+            })
+          }
+        })
+      })
+    },
+    loadMetrics (_, { item }) {
+      this.$router.push({
+        name: 'metrics',
+        params: {
+          reportId: item.report_id
+        }
+      })
+    },
+    confRemoval () {
+      const item = this.confDeleteReportModal
+      this.$http.delete(`/api/metrics-job/${this.confDeleteReportModal.report_id}/`).then(_ => {
+        this.confDeleteReportModal = null
+        this.reports.items.splice(item)
+      }).finally(() => {
+        this.confDeleteReportModal = null
+      })
+    },
+    projectsFormatter (value) {
+      let outEl = ''
+      value.forEach(i => {
+        if (this.projects[i]) {
+          outEl += `
+          <div>
+            <router-link :to="{ name: 'train-annotations', params: { projectId: '${i}' }}">${this.projects[i].name}</router-link>
+          </div>`
+        } else {
+          outEl += `
+            <div>
+              ${i} <font-awesome-icon icon="spinner" spin></font-awesome-icon>
+            </div>`
+        }
+      })
+      return `<div>${outEl}</div>`
+    }
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.metrics-reports-table {
+  padding: 10px 0;
+  width: 95%;
+  margin: auto;
+  height: calc(100% - 100px);
+  overflow-y: auto;
+}
+
+.status-icon {
+  padding-left: 3px;
+}
+
+.project-links {
+  color: #005EB8;
+
+  &:hover {
+    color: #fff;
+    border-bottom: 1px solid #fff;
+  }
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue b/v1/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue
new file mode 100644
index 000000000..1997617cd
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/src/views/TrainAnnotations.vue
@@ -0,0 +1,986 @@
+<template>
+  <div @click="selectRelation(null)" class="container-fluid app-container">
+    <div class="app-header">
+      <div class="project-name">
+        <h4>{{ project === null ? '' : project.name }}</h4>
+      </div>
+
+      <div class="meta">
+        <h5 class="file-name-heading" v-if="((docs || {}).length || 0) > 0">
+          <span class="file-name">{{ (currentDoc || {}).name }}</span>
+          <span class="divider">|</span>
+          <span class="files-remaining">{{ totalDocs - (project !== null ? project.validated_documents.length : 0) }} Remaining</span>
+        </h5>
+        <button class="btn btn-default" @click="summaryModal = true">
+          <font-awesome-icon icon="list-alt" class="summary-icon"></font-awesome-icon>
+        </button>
+        <button class="btn btn-default" @click="helpModal = true">
+          <font-awesome-icon icon="question-circle" class="help-icon"></font-awesome-icon>
+        </button>
+        <button class="btn btn-default" @click="resetModal = true">
+          <font-awesome-icon icon="undo" class="undo-icon"></font-awesome-icon>
+        </button>
+      </div>
+    </div>
+
+    <div class="app-main">
+      <document-summary :projId="(project || {}).id" :docs="docs" :moreDocs="nextDocSetUrl !== null"
+                        :validatedDocIds="(project || {}).validated_documents"
+                        :preparedDocIds="(project || {}).prepared_documents"
+                        :selectedDocId="currentDoc !== null ? currentDoc.id : null" :loadingDoc="loadingMsg !== null"
+                        @request:nextDocSet="fetchDocuments()" @request:loadDoc="loadDoc"></document-summary>
+      <splitpanes class="default-theme">
+        <pane size="70" min-size="20">
+          <div class="main-viewport">
+            <clinical-text :loading="loadingMsg" :text="currentDoc !== null ? currentDoc.text : null"
+                           :current-ent="currentEnt" :ents="ents" :task-name="taskName" :task-values="taskValues"
+                           :addAnnos="true" :current-rel-start-ent="(currentRel || {}).start_entity"
+                           :current-rel-end-ent="(currentRel || {}).end_entity"
+                           @select:concept="selectEntity" @select:addSynonym="addSynonym"
+                           @pick:concept="conceptPickerState" @remove:newAnno="removeNewAnno"></clinical-text>
+            <div class="task-nav-bar">
+              <nav-bar class="nav" :ents="ents" :currentEnt="currentEnt" @select:next="next"
+                       @select:back="back"></nav-bar>
+              <task-bar class="tasks" :taskLocked="taskLocked" :ents="ents" :altSearch="altSearch"
+                        :submitLocked="docToSubmit !== null" :terminateEnabled="(project || {}).terminate_available"
+                        :irrelevantEnabled="(project || {}).irrelevant_available"
+                        :conceptSelection="conceptSynonymSelection"
+                        @select:remove="markRemove" @select:correct="markCorrect"
+                        @select:kill="markKill" @select:alternative="toggleAltSearch"
+                        @select:irrelevant="markIrrelevant" @submit="submitDoc"></task-bar>
+            </div>
+          </div>
+        </pane>
+        <pane size="15" min-size="10">
+          <div class="sidebar-container">
+            <transition name="slide-left">
+              <div>
+                <concept-summary v-if="!conceptSynonymSelection && !hasRelations" :selectedEnt="currentEnt"
+                                 :altSearch="altSearch"
+                                 :project="project" :searchFilterDBIndex="searchFilterDBIndex"
+                                 @select:altConcept="markAlternative"
+                                 @select:alternative="toggleAltSearch"
+                                 @updated:entityComment="markEntity(false)"
+                                 class="concept-summary"></concept-summary>
+                <v-tabs v-if="!conceptSynonymSelection && hasRelations" v-model="tab">
+                  <v-tab :value="'concept'">Concept</v-tab>
+                  <v-tab :value="'relation'">Relation</v-tab>
+                  <v-tab title="Relations" v-if="hasRelations && docId">
+                  </v-tab>
+                </v-tabs>
+                <v-tabs-window v-if="!conceptSynonymSelection && hasRelations" v-model="tab">
+                  <v-tabs-window-item :value="'concept'">
+                    <concept-summary :selectedEnt="currentEnt" :altSearch="altSearch"
+                                     :project="project" :searchFilterDBIndex="searchFilterDBIndex"
+                                     @select:altConcept="markAlternative" @select:alternative="toggleAltSearch"
+                                     class="concept-summary"></concept-summary>
+                  </v-tabs-window-item>
+                  <v-tabs-window-item :value="'relation'">
+                    <relation-annotation-task-container :available-relations="project.relations"
+                                                        :project-id="project.id"
+                                                        :document-id="docId" :selected-entity="currentEnt"
+                                                        :curr-relation="currentRel" @selected:relation="selectRelation">
+                    </relation-annotation-task-container>
+                  </v-tabs-window-item>
+                </v-tabs-window>
+              </div>
+            </transition>
+            <transition name="slide-left">
+              <meta-annotation-task-container v-if="metaAnnotate" :model-pack-set="!!project.model_pack"
+                                              :taskIDs="hasMetaTasks"
+                                              :selectedEnt="currentEnt">
+              </meta-annotation-task-container>
+            </transition>
+            <transition name="slide-left">
+              <add-annotation v-if="conceptSynonymSelection" :selection="conceptSynonymSelection"
+                              :project="project" :documentId="currentDoc.id" :searchFilterDBIndex="searchFilterDBIndex"
+                              @request:addAnnotationComplete="addAnnotationComplete"
+                              class="add-annotation"></add-annotation>
+            </transition>
+          </div>
+        </pane>
+      </splitpanes>
+    </div>
+
+    <modal v-if="helpModal" class="help-modal" :closable="true" @modal:close="helpModal = false">
+      <template #header>
+        <h3>{{ project.name }} Annotation Help</h3>
+      </template>
+      <template #body>
+        <div class="help-modal-body">
+          <div class="concept-filter-search">
+            <div class="project-filter-title">
+              Project Concepts Annotated:
+            </div>
+            <concept-filter :cuis="project.cuis" :cdb_id="project.concept_db"></concept-filter>
+          </div>
+
+          <v-expansion-panels>
+            <v-expansion-panel v-if="project.annotation_guideline_link" title="Annotation Guidelines">
+              <v-expansion-panel-text>
+                Link to guideline <a :href="'' + project.annotation_guideline_link + ''">here</a>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+            <v-expansion-panel title="Keyboard Shortcuts">
+              <v-expansion-panel-text>
+                <table class="table">
+                  <thead>
+                  <tr>
+                    <th>Shortcut Key</th>
+                    <th>Key Name</th>
+                    <th>Description</th>
+                  </tr>
+                  </thead>
+                  <tbody>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-up"></font-awesome-icon>
+                    </td>
+                    <td>Up Arrow</td>
+                    <td>Previous Document</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-down"></font-awesome-icon>
+                    </td>
+                    <td>Down Arrow</td>
+                    <td>Next Document</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-left"></font-awesome-icon>
+                    </td>
+                    <td>Left Arrow</td>
+                    <td>Previous Concept</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="arrow-right"></font-awesome-icon>
+                      or space
+                    </td>
+                    <td>Right Arrow or Space bar</td>
+                    <td>Next Concept</td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <font-awesome-icon icon="level-down-alt" :transform="{ rotate: 90 }"></font-awesome-icon>
+                    </td>
+                    <td>Enter Key</td>
+                    <td>Submit / Submit Confirm (on submit summary)</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>1 Key</td>
+                    <td>Correct</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>2 Key</td>
+                    <td>Incorrect</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>3 Key (if set on your project)</td>
+                    <td>Terminate</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>4 Key</td>
+                    <td>Alternative</td>
+                  </tr>
+                  <tr>
+                    <td></td>
+                    <td>5 Key (if set on your project)</td>
+                    <td>Irrelevant</td>
+                  </tr>
+                  </tbody>
+                </table>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+            <v-expansion-panel title="Experimental Features">
+              <v-expansion-panel-text>
+                <button class="btn btn-primary" :disabled="resubmittingAllDocs" @click="submitAll">
+                  <span v-if="!resubmittingAllDocs">Re-Submit All Validated Documents</span>
+                  <span v-if="resubmittingAllDocs">Submitting...</span>
+                </button>
+                <transition name="alert"><span v-if="resubmitSuccess" class="alert alert-info">Successfully Re-submitted</span>
+                </transition>
+              </v-expansion-panel-text>
+            </v-expansion-panel>
+          </v-expansion-panels>
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" @click="helpModal = false">Close</button>
+      </template>
+    </modal>
+
+    <modal v-if="errors.modal" @modal:close="errors.modal = false" class="error-modal">
+      <template #header>
+        <h3 slot="header" class="text-danger">Error: {{ errors.message }}</h3>
+      </template>
+      <template #body>
+        <div class="error-body">
+          <p v-if="errors.description.length > 0">{{ errors.description }}</p>
+          <p v-if="errors.stacktrace">Full Error:</p>
+          <p v-if="errors.stacktrace" class="error-stacktrace">{{ errors.stacktrace }}</p>
+        </div>
+      </template>
+      <template #footer>
+        <a href="/">
+          <button class="btn btn-primary">MedCATtrainer Home</button>
+        </a>
+      </template>
+    </modal>
+
+    <modal v-if="projectCompleteModal" @modal:close="projectCompleteModal = false">
+      <template #header>
+        <h3 class="text-success">Project Annotations Complete</h3>
+      </template>
+      <template #body>
+        <p>Exit this window to review annotations or return to the project selection screen</p>
+      </template>
+      <template #footer>
+        <a href="/">
+          <button class="btn btn-primary">MedCATtrainer Home</button>
+        </a>
+      </template>
+    </modal>
+
+    <modal v-if="docToSubmit" :closable="true" @modal:close="docToSubmit=null" class="summary-modal">
+      <template #header>
+        <h3>Submit Document</h3>
+      </template>
+      <template #body>
+        <div slot="body">
+          <annotation-summary :annos="ents" :currentDoc="currentDoc"
+                              :taskIDs="hasMetaTasks" :searchFilterDBIndex="searchFilterDBIndex"
+                              @select:AnnoSummaryConcept="selectEntityFromSummary"></annotation-summary>
+        </div>
+      </template>
+      <template #footer>
+        <button class="btn btn-primary" :disabled="submitConfirmedLoading" @click="submitConfirmed()">
+          <span v-if="!submitConfirmedLoading">Confirm</span>
+          <span v-if="submitConfirmedLoading">
+            Submitting Document
+            <font-awesome-icon icon="spinner" spin></font-awesome-icon>
+          </span>
+        </button>
+      </template>
+    </modal>
+
+    <modal v-if="summaryModal" :closable="true" @modal:close="summaryModal = false" class="summary-modal">
+      <template #header>
+        <h3>Annotation Summary</h3>
+      </template>
+      <template #body>
+        <annotation-summary :annos="ents" :currentDoc="currentDoc"
+                            :taskIDs="(project || {}).tasks || []"
+                            @select:AnnoSummaryConcept="selectEntityFromSummary"></annotation-summary>
+      </template>
+    </modal>
+
+    <modal v-if="resetModal" :closable="true" @modal:close="resetModal = false" class="reset-modal">
+      <template #header>
+        <h3>Reset Document</h3>
+      </template>
+
+      <template #body>
+        <div>
+          <p class="text-center">Confirm reset of document annotations</p>
+          <p class="text-center">This will clear all current annotations in this document</p>
+        </div>
+      </template>
+
+      <template #footer>
+        <button class="btn btn-primary" @click="confirmReset">Confirm</button>
+      </template>
+    </modal>
+  </div>
+</template>
+
+<script>
+import _ from 'lodash'
+
+import ConceptSummary from '@/components/common/ConceptSummary.vue'
+import DocumentSummary from '@/components/common/DocumentSummary.vue'
+import Modal from '@/components/common/Modal.vue'
+import ClinicalText from '@/components/common/ClinicalText.vue'
+import NavBar from '@/components/common/NavBar.vue'
+import TaskBar from '@/components/anns/TaskBar.vue'
+import AddAnnotation from '@/components/anns/AddAnnotation.vue'
+import MetaAnnotationTaskContainer from '@/components/usecases/MetaAnnotationTaskContainer.vue'
+import RelationAnnotationTaskContainer from '@/components/usecases/RelationAnnotationTaskContainer.vue'
+import AnnotationSummary from '@/components/common/AnnotationSummary.vue'
+import ConceptFilter from "@/components/common/ConceptFilter.vue"
+import {Splitpanes, Pane} from 'splitpanes'
+
+const TASK_NAME = 'Concept Annotation'
+const CONCEPT_CORRECT = 'Correct'
+const CONCEPT_REMOVED = 'Deleted'
+const CONCEPT_KILLED = 'Killed'
+const CONCEPT_ALTERNATIVE = 'Alternative'
+const CONCEPT_IRRELEVANT = 'Irrelevant'
+
+const TASK_VALUES = [CONCEPT_CORRECT, CONCEPT_REMOVED, CONCEPT_KILLED, CONCEPT_ALTERNATIVE, CONCEPT_IRRELEVANT]
+
+let LOAD_NUM_DOC_PAGES = 10 // 100 docs per page, 1000 documents
+
+export default {
+  name: 'TrainAnnotations',
+  components: {
+    ConceptFilter,
+    ConceptSummary,
+    DocumentSummary,
+    Modal,
+    ClinicalText,
+    NavBar,
+    TaskBar,
+    AddAnnotation,
+    MetaAnnotationTaskContainer,
+    RelationAnnotationTaskContainer,
+    AnnotationSummary,
+    Splitpanes,
+    Pane,
+  },
+  props: {
+    projectId: {
+      required: true
+    },
+    docId: {
+      required: false
+    }
+  },
+  computed: {
+    hasRelations() {
+      return ((this.project || {}).relations || []).length > 0
+    },
+    hasMetaTasks() {
+      return (this.project || {}).tasks || []
+    }
+  },
+  data() {
+    return {
+      docs: null,
+      docIds: null,
+      docIdsToDocs: null,
+      totalDocs: 0,
+      nextDocSetUrl: null,
+      nextEntSetUrl: null,
+      taskLocked: false,
+      taskName: TASK_NAME,
+      taskValues: TASK_VALUES,
+      project: null,
+      searchFilterDBIndex: null,
+      ents: null,
+      currentDoc: null,
+      currentEnt: null,
+      currentRel: null,
+      loadingMsg: null,
+      resubmittingAllDocs: false,
+      resubmitSuccess: false,
+      helpModal: false,
+      projectCompleteModal: false,
+      resetModal: false,
+      conceptPickerOpen: true,
+      errors: {
+        modal: false,
+        message: '',
+        description: '',
+        stacktrace: ''
+      },
+      summaryModal: false,
+      docToSubmit: null,
+      submitConfirmedLoading: false,
+      altSearch: false,
+      conceptSynonymSelection: null,
+      metaAnnotate: false,
+      tab: null
+    }
+  },
+  created() {
+    this.fetchAnnoConf()
+  },
+  methods: {
+    fetchAnnoConf() {
+      this.$http.get(`/api/anno-conf/`).then(resp => {
+        LOAD_NUM_DOC_PAGES = resp.data['LOAD_NUM_DOC_PAGES'] || LOAD_NUM_DOC_PAGES
+        this.fetchData()
+      })
+    },
+    fetchData() {
+      this.$http.get(`/api/project-annotate-entities/?id=${this.projectId}`).then(resp => {
+        if (resp.data.count === 0) {
+          this.errors.modal = true
+          this.errors.message = `No project found for project ID: ${this.$route.params.projectId}`
+        } else {
+          this.project = resp.data.results[0]
+          this.fetchCDBSearchIndex()
+          const loadedDocs = () => {
+            this.docIds = this.docs.map(d => d.id)
+            this.docIdsToDocs = Object.assign({}, ...this.docs.map(item => ({[item['id']]: item})))
+            const docIdRoute = Number(this.$route.params.docId)
+            if (docIdRoute) {
+              while (!this.docs.map(d => d.id).includes(docIdRoute)) {
+                this.fetchDocuments(0, loadedDocs)
+              }
+              this.loadDoc(this.docIdsToDocs[docIdRoute])
+            } else {
+              // find first unvalidated doc.
+              const ids = _.difference(this.docIds, this.project.validated_documents)
+              if (ids.length > 0) {
+                this.loadDoc(this.docIdsToDocs[ids[0]])
+              } else {
+                // no unvalidated docs and no next doc URL. Go back to first doc
+                this.loadDoc(this.docs[0])
+              }
+            }
+          }
+          this.fetchDocuments(0, loadedDocs)
+        }
+      })
+    },
+    fetchDocuments(numPagesLoaded, finishedLoading) {
+      let params = this.nextDocSetUrl === null ? `?dataset=${this.project.dataset}`
+          : `?${this.nextDocSetUrl.split('?').slice(-1)[0]}`
+
+      this.$http.get(`/api/documents/${params}`).then(resp => {
+        if (resp.data.results.length > 0) {
+          this.docs = resp.data.previous === null ? resp.data.results : this.docs.concat(resp.data.results)
+          this.totalDocs = resp.data.count
+          this.nextDocSetUrl = resp.data.next
+
+          if (this.nextDocSetUrl && numPagesLoaded < LOAD_NUM_DOC_PAGES) {
+            this.fetchDocuments(numPagesLoaded + 1, finishedLoading)
+          } else {
+            if (finishedLoading) {
+              finishedLoading()
+            }
+          }
+        }
+      }).catch(err => {
+        console.error(err)
+        // use error modal to show errors?
+      })
+      return finishedLoading
+    },
+    fetchCDBSearchIndex() {
+      if (this.project.cdb_search_filter.length > 0) {
+        this.$http.get(`/api/concept-dbs/${this.project.cdb_search_filter[0]}/`).then(resp => {
+          if (resp.data) {
+            this.searchFilterDBIndex = `${resp.data.name}_id_${this.project.cdb_search_filter}`
+          }
+        })
+      }
+    },
+    loadDoc(doc) {
+      this.currentDoc = doc
+      if (String(this.$route.params.docId) !== String(doc.id)) {
+        this.$router.replace({
+          name: this.$route.name,
+          params: {
+            projectId: this.$route.params.projectId,
+            docId: doc.id
+          }
+        })
+      }
+      this.currentEnt = null
+      this.prepareDoc()
+    },
+    prepareDoc () {
+      if (this.project.prepared_documents.includes(this.currentDoc.id)) {
+        this.fetchEntities()
+      } else {
+        this.loadingMsg = "Loading MedCAT model..."
+        this.$http.get(`/api/cache-model/${this.project.id}/`).then(_ => {
+          this.loadingMsg = "Preparing Document..."
+          let payload = {
+            project_id: this.project.id,
+            document_ids: [this.currentDoc.id]
+          }
+          this.$http.post('/api/prepare-documents/', payload).then(_ => {
+            // assuming a 200 is fine here.
+            if (!this.project.prepared_documents.includes(this.currentDoc.id)) {
+              this.project.prepared_documents.push(this.currentDoc.id)
+            }
+            this.fetchEntities()
+          }).catch(err => {
+            this.errors.modal = true
+            if (err.response) {
+              this.errors.message = err.response.data.message || 'Internal Server Error.'
+              this.errors.description = err.response.data.description || ''
+              this.errors.stacktrace = err.response.data.stacktrace
+            }
+          })
+        }).catch(e => {
+          this.errors.modal = true
+          this.errors.description = e.response?.data?.message || 'Internal server error - cannot load MedCAT model. Contact your MedCAT admin quoting this project ID'
+          this.errors.message = 'Failed to load MedCAT Model'
+        })
+      }
+    },
+    fetchEntities(selectedEntId) {
+      let params = this.nextEntSetUrl === null ? `?project=${this.projectId}&document=${this.currentDoc.id}`
+          : `?${this.nextEntSetUrl.split('?').slice(-1)[0]}`
+      this.$http.get(`/api/annotated-entities/${params}`).then(resp => {
+        let useAssignedVal = !this.project.require_entity_validation ||
+            this.project.validated_documents.indexOf(this.currentDoc.id) !== -1
+
+        const ents = resp.data.results.map(e => {
+          e.assignedValues = {}
+          e.assignedValues[TASK_NAME] = null
+          if (useAssignedVal || e.validated) {
+            let taskVal = CONCEPT_CORRECT
+            if (e.deleted) {
+              taskVal = CONCEPT_REMOVED
+            } else if (e.killed) {
+              taskVal = CONCEPT_KILLED
+            } else if (e.alternative) {
+              taskVal = CONCEPT_ALTERNATIVE
+            } else if (e.irrelevant) {
+              taskVal = CONCEPT_IRRELEVANT
+            }
+            e.assignedValues[TASK_NAME] = taskVal
+          }
+          return e
+        })
+        if (resp.data.previous === null) {
+          this.ents = ents
+        } else {
+          this.ents = this.ents.concat(ents)
+        }
+        this.nextEntSetUrl = resp.data.next
+        if (this.nextEntSetUrl) {
+          this.fetchEntities(selectedEntId)
+        } else {
+          this.ents = _.orderBy(this.ents, ['start_ind'], ['asc'])
+          this.currentEnt = selectedEntId ? this.ents[this.ents.map(e => e.id).indexOf(selectedEntId)]
+              : this.ents[0]
+          this.metaAnnotate = this.currentEnt && (this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_ALTERNATIVE ||
+              this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_CORRECT)
+          this.loadingMsg = null
+          if (this.$route.query.annoStart && this.$route.query.annoEnd) {
+            const ent = _.find(this.ents, e => {
+              return Number(this.$route.query.annoStart) === e.start_ind &
+                  Number(this.$route.query.annoEnd) === e.end_ind
+            })
+            if (ent) {
+              this.currentEnt = ent
+            }
+          }
+        }
+      })
+    },
+    selectEntityFromSummary(entIdx) {
+      this.docToSubmit = null
+      this.summaryModal = false
+      this.selectEntity(entIdx)
+    },
+    selectEntity(entIdx) {
+      this.currentEnt = this.ents[entIdx]
+      this.conceptSynonymSelection = null
+      this.metaAnnotate = this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_ALTERNATIVE ||
+          this.currentEnt.assignedValues[TASK_NAME] === CONCEPT_CORRECT
+    },
+    selectRelation(rel) {
+      this.currentRel = rel
+    },
+    setStatus(status) {
+      this.currentEnt.validated = 1
+      // reset statuses in case this is a re-annotation.
+      this.currentEnt.correct = 0
+      this.currentEnt.killed = 0
+      this.currentEnt.alternative = 0
+      this.currentEnt.deleted = 0
+      this.currentEnt.irrelevant = 0
+      this.currentEnt[status] = 1
+    },
+    markCorrect() {
+      if (this.currentEnt) {
+        this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_CORRECT
+        this.setStatus('correct')
+        this.markEntity(this.project.tasks.length === 0)
+        this.metaAnnotate = this.project.tasks.length > 0
+      }
+    },
+    markEntity(moveToNext) {
+      if (this.currentEnt) {
+        this.taskLocked = true
+        this.$http.put(`/api/annotated-entities/${this.currentEnt.id}/`, this.currentEnt).then(_ => {
+          if (moveToNext) {
+            if (this.ents.slice(-1)[0].id !== this.currentEnt.id) {
+              this.next()
+            } else {
+              this.currentEnt = null
+            }
+          }
+          this.taskLocked = false
+        })
+      }
+    },
+    markRemove(kill) {
+      if (this.currentEnt) {
+        this.currentEnt.assignedValues[TASK_NAME] = kill ? CONCEPT_KILLED : CONCEPT_REMOVED
+        if (kill) {
+          this.setStatus('killed')
+        } else {
+          this.setStatus('deleted')
+        }
+        this.markEntity(true)
+        this.metaAnnotate = false
+      }
+    },
+    toggleAltSearch(choice) {
+      this.altSearch = choice
+    },
+    markKill() {
+      this.markRemove(true)
+    },
+    markAlternative(item) {
+      this.altSearch = false
+      this.taskLocked = true
+      this.$http.post(`/api/get-create-entity/`, {label: item.cui}).then(resp => {
+        this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_ALTERNATIVE
+        this.currentEnt.entity = resp.data.entity_id
+        this.setStatus('alternative')
+        this.markEntity(this.project.tasks.length === 0)
+        this.metaAnnotate = this.project.tasks.length > 0
+        let i = this.ents.indexOf(this.currentEnt)
+        this.currentEnt = JSON.parse(JSON.stringify(this.currentEnt))
+        this.ents[i] = this.currentEnt
+      })
+      this.currentEnt.cui = item.cui
+    },
+    markIrrelevant() {
+      this.currentEnt.assignedValues[TASK_NAME] = CONCEPT_IRRELEVANT
+      this.setStatus('irrelevant')
+      this.markEntity(true)
+      this.metaAnnotate = false
+    },
+    addAnnotationComplete(addedAnnotationId) {
+      this.conceptSynonymSelection = null
+      if (addedAnnotationId) {
+        this.$http.get(`/api/annotated-entities/${addedAnnotationId}/`).then(resp => {
+          let newEnt = resp.data
+          newEnt.assignedValues = {}
+          newEnt.assignedValues[TASK_NAME] = CONCEPT_CORRECT
+          this.ents = null
+          this.currentEnt = null
+          this.fetchEntities(newEnt.id)
+        })
+      }
+    },
+    removeNewAnno(i) {
+      let entToRemove = this.ents[i]
+      this.$http.delete(`/api/annotated-entities/${entToRemove.id}/`).then(_ => {
+        if (i === this.ents.length - 1) {
+          this.back()
+        } else {
+          this.next()
+        }
+        this.ents.splice(i, 1)
+      })
+    },
+    addSynonym(selection) {
+      this.conceptSynonymSelection = null
+      let that = this
+      window.setTimeout(function () {
+        that.conceptSynonymSelection = selection
+        that.metaAnnotate = false
+      }, 50)
+    },
+    conceptPickerState(val) {
+      this.conceptPickerOpen = val
+    },
+    next() {
+      this.selectEntity(this.ents.indexOf(this.currentEnt) + 1)
+    },
+    back() {
+      this.selectEntity(this.ents.indexOf(this.currentEnt) - 1)
+    },
+    submitDoc(docId) {
+      if (this.docToSubmit === null) {
+        const annoUpdates = []
+        if (!this.project.require_entity_validation) {
+          this.ents = this.ents.map(ent => {
+            ent.validated = 1
+            if (!(ent.killed || ent.alternative || ent.deleted || ent.irrelevant)) {
+              ent.correct = 1
+            }
+            annoUpdates.push(this.$http.put(`/api/annotated-entities/${ent.id}/`, ent))
+            return ent
+          })
+        }
+        let that = this
+        if (annoUpdates.length > 1) {
+          Promise.all(annoUpdates).then(_ => {
+            that.confirmSubmitListenerAdd()
+            that.docToSubmit = docId
+          })
+        } else {
+          this.confirmSubmitListenerAdd()
+          this.docToSubmit = docId
+        }
+      }
+    },
+    submitConfirmed() {
+      this.confirmSubmitListenerRemove()
+      this.submitConfirmedLoading = true
+      this.$http.get(`/api/project-annotate-entities/?id=${this.projectId}`).then(resp => {
+        // refresh project validated documents as multiple users may be submitting. Mitigates but
+        // does not solve a potential inconsistent validated_documents state seen.
+        let proj = resp.data.results[0]
+        if (proj.validated_documents.indexOf(this.currentDoc.id) === -1) {
+          proj.validated_documents = this.project.validated_documents.concat(this.currentDoc.id)
+        }
+        this.project = proj
+        this.fetchCDBSearchIndex()
+        this.$http.put(`/api/project-annotate-entities/${this.projectId}/`, this.project).then(() => {
+          let payload = {
+            project_id: this.project.id,
+            document_id: this.currentDoc.id
+          }
+          this.$http.post(`/api/submit-document/`, payload).then(() => {
+            this.docToSubmit = null
+            this.submitConfirmedLoading = false
+            if (this.currentDoc.id !== this.docIds.slice(-1)[0].id ||
+                this.project.validated_documents.length !== this.docs.length) {
+              const newDocId = this.docIds[this.docIds.indexOf(this.currentDoc.id) + 1]
+              if (!newDocId) {
+                this.projectCompleteModal = true
+              } else {
+                this.loadDoc(this.docIdsToDocs[newDocId])
+              }
+            }
+          }, (err) => {
+            this.submitConfirmedLoading = false
+            this.docToSubmit = false
+            this.errors.modal = true
+            this.errors.message = err.response.data
+          })
+        })
+      })
+    },
+    submitAll() {
+      let subPromises = []
+      for (const vDoc of this.project.validated_documents) {
+        const payload = {
+          project_id: this.project.id,
+          document_id: vDoc
+        }
+        subPromises.push(this.$http.post(`/api/submit-document/`, payload))
+        this.resubmittingAllDocs = true
+        this.loadingMsg = "Submitting document annotations..."
+        Promise.all(subPromises).then(_ => {
+          this.resubmitSuccess = true
+          this.loadingMsg = null
+          this.resubmittingAllDocs = false
+          const that = this
+          setTimeout(function () {
+            that.resubmitSuccess = false
+          }, 10000)
+        }).catch(() => {
+          this.resubmittingAllDocs = true
+          this.loadingMsg = null
+          this.errors.modal = true
+          this.errors.message = 'Failure re-submitting all validated documents: Refresh Project'
+        })
+      }
+    },
+    keydown(e) {
+      if (e.keyCode === 13 && this.docToSubmit && !this.submitConfirmedLoading) {
+        this.submitConfirmed()
+      } else if (e.keyCode === 27 && this.docToSubmit) {
+        this.docToSubmit = null
+      }
+    },
+    confirmSubmitListenerRemove() {
+      window.removeEventListener('keydown', this.keydown)
+    },
+    confirmSubmitListenerAdd() {
+      window.addEventListener('keydown', this.keydown)
+    },
+    confirmReset() {
+      this.loadingMsg = "Resetting document annotations..."
+      const payload = {
+        project_id: this.project.id,
+        document_ids: [this.currentDoc.id],
+        force: true
+      }
+      this.$http.post('/api/prepare-documents/', payload).then(_ => {
+        this.fetchEntities()
+        this.resetModal = false
+        this.loadingMsg = null
+      }).catch(err => {
+        this.resetModal = false
+        this.errors.modal = true
+        if (err.response) {
+          this.errors.message = err.response.data.message || 'Internal Server Error.'
+          this.errors.description = err.response.data.description || ''
+          this.errors.stacktrace = err.response.data.stacktrace
+        }
+      })
+    }
+  },
+  beforeDestroy() {
+    this.confirmSubmitListenerRemove()
+  }
+}
+</script>
+
+<style scoped lang="scss">
+
+$app-header-height: 60px;
+
+.app-header {
+  display: flex;
+  flex-direction: row;
+  flex: 0 0 $app-header-height;
+  line-height: $app-header-height;
+  font-size: 20px;
+  padding: 0 15px;
+}
+
+.Pane {
+  position: static !important;
+}
+
+.project-name {
+  flex: 1 1 auto;
+  color: $text-highlight;
+}
+
+.help-icon, .summary-icon, .undo-icon {
+  color: $text;
+  font-size: 22px;
+}
+
+.summary {
+  padding-left: 20px
+}
+
+.app-header h4 {
+  display: inline-block;
+}
+
+.help-heading {
+  border-bottom: 1px solid transparent;
+
+  &:hover {
+    border-bottom: 1px solid $color-1;
+  }
+}
+
+.concept-filter-search {
+  padding: 5px 0;
+}
+
+.project-filter-title {
+  margin-bottom: 10px;
+}
+
+.meta {
+  flex: 1 1 auto;
+  text-align: right;
+}
+
+.file-name-heading {
+  display: inline-block;
+  padding-left: 20px;
+}
+
+.file-name {
+  display: inline-block;
+  position: relative;
+  top: 5px;
+  font-size: 22px;
+  max-width: 500px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.files-remaining {
+  font-size: 22px;
+}
+
+.app-container {
+  display: flex;
+  height: calc(100% - #{$app-header-height});
+  flex-direction: column;
+  padding: 5px;
+}
+
+.app-main {
+  display: flex;
+  flex: 1 1 auto;
+  overflow: hidden;
+  height: 100%;
+}
+
+.viewport-container {
+  height: calc(100% - 56px);
+}
+
+.main-viewport {
+  height: 100%;
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+}
+
+.nav {
+  width: 95px;
+  display: inline-block
+}
+
+.tasks {
+  width: calc(100% - 95px);
+  display: inline-block;
+}
+
+.sidebar-container {
+  background-color: var(--bs-body-bg);
+  height: 100%;
+  display: flex;
+  justify-content: space-between;
+  flex-direction: column;
+  padding: 5px;
+
+  .add-annotation {
+    width: 100%;
+    flex: 1 1 auto;
+  }
+}
+
+.task-nav-bar {
+  background-color: var(--bs-body-bg);
+  padding: 5px 5px 0 5px;
+}
+
+.slide-left-enter-active {
+  transition: all .5s ease;
+}
+
+.slide-left-enter, .slide-left-leave-to {
+  position: relative;
+  transform: translateX(50px);
+  transition: all .2s ease;
+  opacity: 0;
+}
+
+.divider {
+  opacity: 0.5;
+  padding: 0 5px;
+}
+
+.summary-title {
+  padding-bottom: 10px;
+  font-size: 17px;
+}
+
+.error-stacktrace {
+  white-space: pre-wrap;
+}
+
+</style>
diff --git a/v1/medcat-trainer/webapp/frontend/tsconfig.app.json b/v1/medcat-trainer/webapp/frontend/tsconfig.app.json
new file mode 100644
index 000000000..9090e9447
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/tsconfig.app.json
@@ -0,0 +1,14 @@
+{
+  "extends": "@vue/tsconfig/tsconfig.dom.json",
+  "include": ["env.d.ts"], // Add src back in here when its typescript compliant
+  "exclude": ["src/**/__tests__/*", "src/**/*", "src/**/*.vue"],
+  "compilerOptions": {
+    "composite": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
+
+    "baseUrl": ".",
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/tsconfig.json b/v1/medcat-trainer/webapp/frontend/tsconfig.json
new file mode 100644
index 000000000..100cf6a8f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/tsconfig.json
@@ -0,0 +1,14 @@
+{
+  "files": [],
+  "references": [
+    {
+      "path": "./tsconfig.node.json"
+    },
+    {
+      "path": "./tsconfig.app.json"
+    },
+    {
+      "path": "./tsconfig.vitest.json"
+    }
+  ]
+}
diff --git a/v1/medcat-trainer/webapp/frontend/tsconfig.node.json b/v1/medcat-trainer/webapp/frontend/tsconfig.node.json
new file mode 100644
index 000000000..f09406303
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/tsconfig.node.json
@@ -0,0 +1,19 @@
+{
+  "extends": "@tsconfig/node20/tsconfig.json",
+  "include": [
+    "vite.config.*",
+    "vitest.config.*",
+    "cypress.config.*",
+    "nightwatch.conf.*",
+    "playwright.config.*"
+  ],
+  "compilerOptions": {
+    "composite": true,
+    "noEmit": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
+
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "types": ["node"]
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/tsconfig.vitest.json b/v1/medcat-trainer/webapp/frontend/tsconfig.vitest.json
new file mode 100644
index 000000000..571995d11
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/tsconfig.vitest.json
@@ -0,0 +1,11 @@
+{
+  "extends": "./tsconfig.app.json",
+  "exclude": [],
+  "compilerOptions": {
+    "composite": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.vitest.tsbuildinfo",
+
+    "lib": [],
+    "types": ["node", "jsdom"]
+  }
+}
diff --git a/v1/medcat-trainer/webapp/frontend/vite.config.ts b/v1/medcat-trainer/webapp/frontend/vite.config.ts
new file mode 100644
index 000000000..77eb8ea7c
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/vite.config.ts
@@ -0,0 +1,48 @@
+import { fileURLToPath, URL } from 'node:url'
+
+import { defineConfig } from 'vite'
+import vue from '@vitejs/plugin-vue'
+import vueDevTools from 'vite-plugin-vue-devtools'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [
+    vue(),
+    vueDevTools(),
+  ],
+  resolve: {
+    alias: {
+      vue: 'vue/dist/vue.esm-bundler.js',
+      '@': fileURLToPath(new URL('./src', import.meta.url))
+    }
+  },
+  build: {
+    sourcemap: true,
+    assetsDir: 'static'
+  },
+  server: {
+    host: '127.0.0.1',
+    proxy: {
+      '^/api/concepts/*': {
+        target: 'http://127.0.0.1:8983/solr',
+        changeOrigin: true,
+        secure: false,
+        rewrite: (path) => path.replace(/\/api\/concepts/, '/')
+      },
+      '^/api/*': {
+        target: 'http://127.0.0.1:8001'
+      } 
+    }
+  },
+  css: {
+    preprocessorOptions: {
+      scss: {
+        additionalData: `
+          @import "@/styles/_variables.scss";
+          @import "@/styles/_common.scss";
+          @import "@/styles/_tabs.scss";
+        `
+      }
+    }
+  }
+})
diff --git a/v1/medcat-trainer/webapp/frontend/vitest.config.ts b/v1/medcat-trainer/webapp/frontend/vitest.config.ts
new file mode 100644
index 000000000..4b1c89799
--- /dev/null
+++ b/v1/medcat-trainer/webapp/frontend/vitest.config.ts
@@ -0,0 +1,14 @@
+import { fileURLToPath } from 'node:url'
+import { mergeConfig, defineConfig, configDefaults } from 'vitest/config'
+import viteConfig from './vite.config'
+
+export default mergeConfig(
+  viteConfig,
+  defineConfig({
+    test: {
+      environment: 'jsdom',
+      exclude: [...configDefaults.exclude, 'e2e/**'],
+      root: fileURLToPath(new URL('./', import.meta.url))
+    }
+  })
+)
diff --git a/v1/medcat-trainer/webapp/requirements.txt b/v1/medcat-trainer/webapp/requirements.txt
new file mode 100644
index 000000000..98a316aaf
--- /dev/null
+++ b/v1/medcat-trainer/webapp/requirements.txt
@@ -0,0 +1,9 @@
+--extra-index-url https://download.pytorch.org/whl/cpu/
+uwsgi==2.0.*
+Django==5.1.*
+django-filter==24.2.*
+django-polymorphic==3.0.*
+djangorestframework==3.15.*
+django-background-tasks-updated==1.2.*
+openpyxl==3.1.2
+medcat==1.16.*
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/scripts/backup_db.sh b/v1/medcat-trainer/webapp/scripts/backup_db.sh
new file mode 100755
index 000000000..687c92261
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/backup_db.sh
@@ -0,0 +1,27 @@
+#!/bin/sh
+
+if [ -n "${DB_BACKUP_DIR}" ] && [ -f "${DB_PATH}" ]; then
+  echo "Found backup dir location: ${DB_BACKUP_DIR} and DB_PATH: ${DB_PATH}"
+  if [ ! -d "${DB_BACKUP_DIR}" ]; then
+    mkdir DB_BACKUP_DIR
+  else
+    # remove backups older than 90 days.
+    echo "Checking age of current backups - removing any older than 90 days.."
+    find ${DB_BACKUP_DIR} -mtime +90 -type f -delete
+  fi
+
+  # Check if a backup already exists for today
+  TODAY=$(date +"%Y-%m-%d")
+  if [ -n "$(find ${DB_BACKUP_DIR} -name "db-backup-${TODAY}__*.sqlite3" -type f)" ]; then
+    echo "A backup already exists for today (${TODAY}). Skipping backup creation."
+    return 0
+  fi
+
+  BACKUP_NAME=db-backup-$(date +"%Y-%m-%d__%H-%M-%S").sqlite3
+  cp $DB_PATH ${DB_BACKUP_DIR}/${BACKUP_NAME}
+  echo "Backed up existing DB to ${DB_BACKUP_DIR}/${BACKUP_NAME}"
+  echo "To restore this backup use $ /home/scripts/restore.sh ${DB_BACKUP_DIR}/${BACKUP_NAME}"
+else
+  echo "No DB_BACKUP_DIR env var found or DB_PATH . This should be set in env vars. No backups will be created"
+  return 0
+fi
diff --git a/v1/medcat-trainer/webapp/scripts/create_group.py b/v1/medcat-trainer/webapp/scripts/create_group.py
new file mode 100644
index 000000000..acfda2779
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/create_group.py
@@ -0,0 +1,14 @@
+from django.contrib.auth.models import Group, Permission
+from itertools import chain
+
+print("Checking for Default User Group")
+group, created = Group.objects.get_or_create(name='user_group')
+if created:
+    print("No Default User Group Found - Creating with Permissions")
+dataset = list(Permission.objects.filter(codename__contains='dataset').exclude(codename__contains='delete'))
+concept = list(Permission.objects.filter(codename__contains='concept'))
+project = list(Permission.objects.filter(codename__contains="projectannotateentities").exclude(codename__contains="delete"))
+permissions = chain(dataset, concept, project)
+for p in permissions:
+    group.permissions.add(p)
+print("User_group created with minimum correct permissions")
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/scripts/crontab b/v1/medcat-trainer/webapp/scripts/crontab
new file mode 100644
index 000000000..242ba1528
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/crontab
@@ -0,0 +1,3 @@
+SHELL=/bin/bash
+BASH_ENV=/etc/environment
+0 22 * * * root /home/scripts/backup_db.sh > /proc/1/fd/1 2>/proc/1/fd/2
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/scripts/entry.sh b/v1/medcat-trainer/webapp/scripts/entry.sh
new file mode 100644
index 000000000..600979105
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/entry.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+env >> /etc/environment
+
+# execute CMD
+echo "$@"
+exec "$@"
diff --git a/v1/medcat-trainer/webapp/scripts/load_examples.py b/v1/medcat-trainer/webapp/scripts/load_examples.py
new file mode 100644
index 000000000..e4031324c
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/load_examples.py
@@ -0,0 +1,137 @@
+import os
+
+import pandas as pd
+import requests
+from time import sleep
+import json
+
+
+def main(port=8000,
+         umls_cdb_tmp_file='/home/cdb.dat',
+         snomed_cdb_tmp_file='/home/snomed-cdb.dat',
+         vocab_tmp_file='/home/vocab.dat',
+         dataset_tmp_file='/home/ds.csv',
+         initial_wait=15):
+
+    val = os.environ.get('LOAD_EXAMPLES')
+    if val is not None and val not in ('1', 'true', 't', 'y'):
+        print('Found Env Var LOAD_EXAMPLES is False, not loading example data, cdb, vocab and project')
+        return
+
+    print('Found Env Var LOAD_EXAMPLES, waiting 15 seconds for API to be ready...')
+    URL = f'http://localhost:{port}/api/'
+    sleep(initial_wait)
+
+    print('Checking for default projects / datasets / CDBs / Vocabs')
+    while True:
+        try:
+            # check API is available
+            if requests.get(URL).status_code == 200:
+                # check API default username and pass are available.
+                payload = {"username": "admin", "password": "admin"}
+                resp = requests.post(f"{URL}api-token-auth/", json=payload)
+                if resp.status_code != 200:
+                    break
+
+                headers = {
+                    'Authorization': f'Token {json.loads(resp.text)["token"]}',
+                }
+
+                # check concepts DB, vocab, datasets and projects are empty
+                resp_cdbs = requests.get(f'{URL}concept-dbs/', headers=headers)
+                resp_vocabs = requests.get(f'{URL}vocabs/', headers=headers)
+                resp_ds = requests.get(f'{URL}datasets/', headers=headers)
+                resp_projs = requests.get(f'{URL}project-annotate-entities/', headers=headers)
+                all_resps = [resp_cdbs, resp_vocabs, resp_ds, resp_projs]
+
+                codes = [r.status_code == 200 for r in all_resps]
+                if all(codes) and all(len(r.text) > 0 and json.loads(r.text)['count'] == 0 for r in all_resps):
+                    print("Found No Objects. Populating Example: Concept DB, Vocabulary, Dataset and Project...")
+                    # download example cdb, vocab, dataset
+                    print("Downloading example UMLS CDB...")
+                    cdb_file = requests.get('https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/cdb-medmen-v1.dat')
+                    with open(umls_cdb_tmp_file, 'wb') as f:
+                        f.write(cdb_file.content)
+                    print("Downloading example SNOMED CT CDB...")
+                    snomed_cdb_file = requests.get('https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/snomed-cdb-mc-v1.cdb')
+                    with open(snomed_cdb_tmp_file, 'wb') as f:
+                        f.write(snomed_cdb_file.content)
+                    print("Downloading example vocab...")
+                    vocab_file = requests.get('https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/vocab.dat')
+                    with open(vocab_tmp_file, 'wb') as f:
+                        f.write(vocab_file.content)
+                    print("Downloading example dataset")
+                    ds = requests.get(
+                        'https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/notebook_docs/example_data/ortho.csvv')
+                    with open(dataset_tmp_file, 'w') as f:
+                        f.write(ds.text)
+
+                    ds_dict = pd.read_csv(dataset_tmp_file).loc[:, ['name', 'text']].to_dict()
+                    create_example_project(URL, headers, umls_cdb_tmp_file, vocab_tmp_file, 'umls_ortho_example_dataset', ds_dict, 'umls_cdb',
+                                           'Example Project - UMLS (Diseases / Symptoms / Findings)')
+                    create_example_project(URL, headers, snomed_cdb_tmp_file, vocab_tmp_file, 'snomed_ortho_example_dataset', ds_dict, 'snomed_cdb',
+                                           'Example Project - SNOMED CT All')
+
+                    # clean up temp files
+                    os.remove(umls_cdb_tmp_file)
+                    os.remove(snomed_cdb_tmp_file)
+                    os.remove(vocab_tmp_file)
+                    os.remove(dataset_tmp_file)
+                    break
+                else:
+                    print('Found at least one object amongst cdbs, vocabs, datasets & projects. Skipping example creation')
+                    break
+        except ConnectionRefusedError:
+            print(f'Connection refused to {URL}. Retrying in 5 seconds...')
+            sleep(5)
+            continue
+        except requests.exceptions.ConnectionError:
+            print(f'Connection error to {URL}. Retrying in 5 seconds...')
+            sleep(5)
+            continue
+
+
+def create_example_project(url, headers, cdb, vocab, ds_name, ds_dict, cdb_name, project_name):
+    print('Creating CDB / Vocab / Dataset / Project in the Trainer')
+    res_cdb_mk = requests.post(f'{url}concept-dbs/', headers=headers,
+                               data={'name': cdb_name, 'use_for_training': True},
+                               files={'cdb_file': open(cdb, 'rb')})
+    cdb_id = json.loads(res_cdb_mk.text)['id']
+    res_vocab_mk = requests.post(f'{url}vocabs/', headers=headers,
+                                 files={'vocab_file': open(vocab, 'rb')})
+    vocab_id = json.loads(res_vocab_mk.text)['id']
+
+    # Upload the dataset
+    payload = {
+        'dataset_name': ds_name,
+        'dataset': ds_dict,
+        'description': f'Example clinical text from the MT Samples corpus https://www.mtsamples.com/'
+    }
+    resp = requests.post(f'{url}create-dataset/', json=payload, headers=headers)
+    ds_id = json.loads(resp.text)['dataset_id']
+
+    user_id = json.loads(requests.get(f'{url}users/', headers=headers).text)['results'][0]['id']
+
+    # Create the project
+    payload = {
+        'name': project_name,
+        'description': 'Example projects using example psychiatric clinical notes from '
+                       'https://www.mtsamples.com/',
+        'cuis': '',
+        'annotation_guideline_link': 'https://docs.google.com/document/d/1xxelBOYbyVzJ7vLlztP2q1Kw9F5Vr1pRwblgrXPS7QM/edit?usp=sharing',
+        'dataset': ds_id,
+        'concept_db': cdb_id,
+        'vocab': vocab_id,
+        'members': [user_id]
+    }
+    requests.post(f'{url}project-annotate-entities/', json=payload, headers=headers)
+    print('Successfully created the example project')
+
+
+if __name__ == '__main__':
+    main()
+    # main(port=8001,
+    # umls_cdb_tmp_file='/home/cerberus/projects/MedCATtrainer/scratch/cdb.dat',
+    # snomed_cdb_tmp_file='/home/cerberus/projects/MedCATtrainer/scratch/snomed-cdb.dat',
+    # vocab_tmp_file='/home/cerberus/projects/MedCATtrainer/scratch/vocab.dat',
+    # dataset_tmp_file='/home/cerberus/projects/MedCATtrainer/scratch/ds.csv')
diff --git a/v1/medcat-trainer/webapp/scripts/restore_db.sh b/v1/medcat-trainer/webapp/scripts/restore_db.sh
new file mode 100755
index 000000000..300cca91d
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/restore_db.sh
@@ -0,0 +1,26 @@
+#!/bin/sh
+
+DB_RESTORE_FILE=$1
+BACKUP_DIR=${DB_BACKUP_DIR}
+
+if [ -n "$BACKUP_DIR" ] && [ -n "$DB_PATH" ]; then
+    echo "Found backup dir location: ${BACKUP_DIR}, found db path: ${DB_PATH}"
+    if [ -z "$DB_RESTORE_FILE" ]; then
+      echo "No specific backup specified. Restoring latest backup in $BACKUP_DIR"
+      DB_RESTORE_FILE=$(ls -Art ${BACKUP_DIR}/ | tail -n 1)
+    fi
+    echo "DB file to restore: ${DB_RESTORE_FILE}"
+    read -p "Found $DB_RESTORE_FILE - y to confirm backup: " choice
+    case "$choice" in
+      y|Y )
+        cp $BACKUP_DIR/$DB_RESTORE_FILE $DB_PATH
+        echo "Restored $DB_RESTORE_FILE to $DB_PATH"
+        ;;
+      n|N )
+        echo " - exiting";;
+      * )
+        echo "Invalid choice - exiting";;
+    esac
+  else
+    echo "No BACKUP_DIR and DB_PATH found. Set to location of the backups and the location of DB sqlite3 file to be restored."
+fi
diff --git a/v1/medcat-trainer/webapp/scripts/run-bg-process.sh b/v1/medcat-trainer/webapp/scripts/run-bg-process.sh
new file mode 100755
index 000000000..b54d535f7
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/run-bg-process.sh
@@ -0,0 +1,13 @@
+#!/bin/sh
+
+# env vars that should only be on for app running...
+export RESUBMIT_ALL_ON_STARTUP=0
+
+# Collect static files and migrate if needed
+python /home/api/manage.py collectstatic --noinput
+python /home/api/manage.py makemigrations --noinput
+python /home/api/manage.py makemigrations api --noinput
+python /home/api/manage.py migrate --noinput
+python /home/api/manage.py migrate api --noinput
+
+python /home/api/manage.py process_tasks --log-std
diff --git a/v1/medcat-trainer/webapp/scripts/run.sh b/v1/medcat-trainer/webapp/scripts/run.sh
new file mode 100755
index 000000000..7e94b228f
--- /dev/null
+++ b/v1/medcat-trainer/webapp/scripts/run.sh
@@ -0,0 +1,36 @@
+#!/bin/sh
+
+# run db backup script before doing anything
+/home/scripts/backup_db.sh
+
+# env vars that should only be on for app running...
+TMP_RESUBMIT_ALL_VAR=$RESUBMIT_ALL_ON_STARTUP
+export RESUBMIT_ALL_ON_STARTUP=0
+
+# Collect static files and migrate if needed
+python /home/api/manage.py collectstatic --noinput
+python /home/api/manage.py makemigrations --noinput
+python /home/api/manage.py makemigrations api --noinput
+python /home/api/manage.py migrate --noinput
+python /home/api/manage.py migrate api --noinput
+
+# create a new super user, with username and password 'admin'
+# also create a user group `user_group` that prevents users from deleting models
+echo "from django.contrib.auth import get_user_model
+User = get_user_model()
+if User.objects.count() == 0:
+    User.objects.create_superuser('admin', 'admin@example.com', 'admin')
+" | python manage.py shell
+
+if [ $LOAD_EXAMPLES ]; then 
+  echo "Loading examples..."
+  python /home/scripts/load_examples.py >> /dev/stdout 2>> /dev/stderr &
+fi
+
+# Creating a default user group that can manage projects and annotate but not delete
+python manage.py shell < /home/scripts/create_group.py
+
+# RESET any Env vars to original stat
+export RESUBMIT_ALL_ON_STARTUP=$TMP_RESUBMIT_ALL_VAR
+
+uwsgi --http-timeout 360s --http :8000 --master --chdir /home/api/  --module core.wsgi
diff --git a/v1/medcat-trainer/webapp/templates/registration/password_reset_email.html b/v1/medcat-trainer/webapp/templates/registration/password_reset_email.html
new file mode 100644
index 000000000..dda38a8a0
--- /dev/null
+++ b/v1/medcat-trainer/webapp/templates/registration/password_reset_email.html
@@ -0,0 +1,17 @@
+{% autoescape off %}
+You’re receiving this email because you requested a password reset for your user account 
+with MedCATTrainer at {{ site_name }}.
+
+Please go to the following page and choose a new password:
+
+{{ protocol }}://{{ domain }}{% url 'password_reset_confirm' uidb64=uid token=token %}
+
+Your username, in case you've forgotten: {{ user.username }}.
+
+If clicking the link above doesn't work, please copy and paste the URL in a new browser
+window instead.
+
+Sincerely,
+
+The Cogstack Team
+{% endautoescape %}
\ No newline at end of file
diff --git a/v1/medcat-trainer/webapp/templates/registration/password_reset_subject.txt b/v1/medcat-trainer/webapp/templates/registration/password_reset_subject.txt
new file mode 100644
index 000000000..7147d40b5
--- /dev/null
+++ b/v1/medcat-trainer/webapp/templates/registration/password_reset_subject.txt
@@ -0,0 +1 @@
+MedCATtrainer: Password Reset
\ No newline at end of file
diff --git a/medcat-v1-tutorials/.gitignore b/v1/medcat-tutorials/.gitignore
similarity index 100%
rename from medcat-v1-tutorials/.gitignore
rename to v1/medcat-tutorials/.gitignore
diff --git a/medcat-v1-tutorials/LICENSE b/v1/medcat-tutorials/LICENSE
similarity index 100%
rename from medcat-v1-tutorials/LICENSE
rename to v1/medcat-tutorials/LICENSE
diff --git a/medcat-v1-tutorials/README.md b/v1/medcat-tutorials/README.md
similarity index 100%
rename from medcat-v1-tutorials/README.md
rename to v1/medcat-tutorials/README.md
diff --git a/medcat-v1-tutorials/git-config/hooks/pre-commit b/v1/medcat-tutorials/git-config/hooks/pre-commit
similarity index 100%
rename from medcat-v1-tutorials/git-config/hooks/pre-commit
rename to v1/medcat-tutorials/git-config/hooks/pre-commit
diff --git a/medcat-v1-tutorials/notebooks/introductory/Part_1_1_OPTIONAL_Logging_With_MedCAT.html b/v1/medcat-tutorials/notebooks/introductory/Part_1_1_OPTIONAL_Logging_With_MedCAT.html
similarity index 100%
rename from medcat-v1-tutorials/notebooks/introductory/Part_1_1_OPTIONAL_Logging_With_MedCAT.html
rename to v1/medcat-tutorials/notebooks/introductory/Part_1_1_OPTIONAL_Logging_With_MedCAT.html
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index 308b6e018..3a61643ee 100644
--- a/medcat-v1-tutorials/requirements-dev.txt
+++ b/v1/medcat-tutorials/requirements-dev.txt
@@ -8,3 +8,4 @@ jinja2<=3.0
 matplotlib>=3.4.0,<3.8.0
 seaborn
 ipython<9.0.0
+ipykernel<7.0
diff --git a/medcat-v1/.dockerignore b/v1/medcat/.dockerignore
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+++ b/v1/medcat/.gitignore
@@ -55,4 +55,6 @@ tests/model_creator/output/*
 docs/auto/
 docs/_build
 
-models/
+
+models/*
+!models/README.md
diff --git a/medcat-v1/.readthedocs.yaml b/v1/medcat/.readthedocs.yaml
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diff --git a/v1/medcat/CODE_OF_CONDUCT.md b/v1/medcat/CODE_OF_CONDUCT.md
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index 000000000..18c914718
--- /dev/null
+++ b/v1/medcat/CODE_OF_CONDUCT.md
@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/medcat-v1/CONTRIBUTING.md b/v1/medcat/CONTRIBUTING.md
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diff --git a/v1/medcat/LICENSE b/v1/medcat/LICENSE
new file mode 100644
index 000000000..7a4a3ea24
--- /dev/null
+++ b/v1/medcat/LICENSE
@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
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\ No newline at end of file
diff --git a/medcat-v1/README.md b/v1/medcat/README.md
similarity index 100%
rename from medcat-v1/README.md
rename to v1/medcat/README.md
diff --git a/medcat-v1/configs/base_train_selfsupervised.txt b/v1/medcat/configs/base_train_selfsupervised.txt
similarity index 100%
rename from medcat-v1/configs/base_train_selfsupervised.txt
rename to v1/medcat/configs/base_train_selfsupervised.txt
diff --git a/medcat-v1/configs/base_validate.txt b/v1/medcat/configs/base_validate.txt
similarity index 100%
rename from medcat-v1/configs/base_validate.txt
rename to v1/medcat/configs/base_validate.txt
diff --git a/medcat-v1/configs/default_regression_tests.yml b/v1/medcat/configs/default_regression_tests.yml
similarity index 100%
rename from medcat-v1/configs/default_regression_tests.yml
rename to v1/medcat/configs/default_regression_tests.yml
diff --git a/v1/medcat/docs/Makefile b/v1/medcat/docs/Makefile
new file mode 100644
index 000000000..d4bb2cbb9
--- /dev/null
+++ b/v1/medcat/docs/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/medcat-v1/docs/_static/css/overrides.css b/v1/medcat/docs/_static/css/overrides.css
similarity index 100%
rename from medcat-v1/docs/_static/css/overrides.css
rename to v1/medcat/docs/_static/css/overrides.css
diff --git a/medcat-v1/docs/_templates/autoapi_templates/index.rst b/v1/medcat/docs/_templates/autoapi_templates/index.rst
similarity index 100%
rename from medcat-v1/docs/_templates/autoapi_templates/index.rst
rename to v1/medcat/docs/_templates/autoapi_templates/index.rst
diff --git a/medcat-v1/docs/conf.py b/v1/medcat/docs/conf.py
similarity index 100%
rename from medcat-v1/docs/conf.py
rename to v1/medcat/docs/conf.py
diff --git a/medcat-v1/docs/index.rst b/v1/medcat/docs/index.rst
similarity index 100%
rename from medcat-v1/docs/index.rst
rename to v1/medcat/docs/index.rst
diff --git a/medcat-v1/docs/main.md b/v1/medcat/docs/main.md
similarity index 97%
rename from medcat-v1/docs/main.md
rename to v1/medcat/docs/main.md
index c4bd6dbd6..2e37b86bb 100644
--- a/medcat-v1/docs/main.md
+++ b/v1/medcat/docs/main.md
@@ -33,7 +33,7 @@ A demo application is available at [MedCAT](https://medcat.sites.er.kcl.ac.uk).
 A guide on how to use MedCAT is available at [MedCAT Tutorials](https://github.com/CogStack/MedCATtutorials). Read more about MedCAT on [Towards Data Science](https://towardsdatascience.com/medcat-introduction-analyzing-electronic-health-records-e1c420afa13a).
 
 ## Related Projects
-- [MedCATtrainer](https://github.com/CogStack/MedCATtrainer/) - an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
+- [MedCATtrainer](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer/) - an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model (MedCAT) for biomedical domain text.
 - [MedCATservice](https://github.com/CogStack/MedCATservice) - implements the MedCAT NLP application as a service behind a REST API.
 - [iCAT](https://github.com/CogStack/iCAT) - A docker container for CogStack/MedCAT/HuggingFace development in isolated environments.
 
diff --git a/v1/medcat/docs/make.bat b/v1/medcat/docs/make.bat
new file mode 100644
index 000000000..8084272b4
--- /dev/null
+++ b/v1/medcat/docs/make.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.https://www.sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd
diff --git a/medcat-v1/docs/requirements.txt b/v1/medcat/docs/requirements.txt
similarity index 100%
rename from medcat-v1/docs/requirements.txt
rename to v1/medcat/docs/requirements.txt
diff --git a/medcat-v1/examples/README.md b/v1/medcat/examples/README.md
similarity index 100%
rename from medcat-v1/examples/README.md
rename to v1/medcat/examples/README.md
diff --git a/medcat-v1/examples/cdb.csv b/v1/medcat/examples/cdb.csv
similarity index 100%
rename from medcat-v1/examples/cdb.csv
rename to v1/medcat/examples/cdb.csv
diff --git a/medcat-v1/examples/cdb.dat b/v1/medcat/examples/cdb.dat
similarity index 100%
rename from medcat-v1/examples/cdb.dat
rename to v1/medcat/examples/cdb.dat
diff --git a/medcat-v1/examples/cdb_2.csv b/v1/medcat/examples/cdb_2.csv
similarity index 100%
rename from medcat-v1/examples/cdb_2.csv
rename to v1/medcat/examples/cdb_2.csv
diff --git a/v1/medcat/examples/cdb_meta.csv b/v1/medcat/examples/cdb_meta.csv
new file mode 100644
index 000000000..e0752c5d3
--- /dev/null
+++ b/v1/medcat/examples/cdb_meta.csv
@@ -0,0 +1,5 @@
+cui,name,ontologies,name_status,type_ids,description
+C0000039,"gastroesophageal reflux",,,T234,
+C0000239,"heartburn",,,,
+C0000339,"hypertension",,,,
+C0000439,"stroke",,,,
\ No newline at end of file
diff --git a/v1/medcat/examples/cdb_meta.dat b/v1/medcat/examples/cdb_meta.dat
new file mode 100644
index 000000000..d874e6e1b
Binary files /dev/null and b/v1/medcat/examples/cdb_meta.dat differ
diff --git a/medcat-v1/examples/cdb_old_broken_weights_in_config.dat b/v1/medcat/examples/cdb_old_broken_weights_in_config.dat
similarity index 100%
rename from medcat-v1/examples/cdb_old_broken_weights_in_config.dat
rename to v1/medcat/examples/cdb_old_broken_weights_in_config.dat
diff --git a/medcat-v1/examples/complex_cdb.csv b/v1/medcat/examples/complex_cdb.csv
similarity index 100%
rename from medcat-v1/examples/complex_cdb.csv
rename to v1/medcat/examples/complex_cdb.csv
diff --git a/medcat-v1/examples/medmentions/medmentions.txt b/v1/medcat/examples/medmentions/medmentions.txt
similarity index 100%
rename from medcat-v1/examples/medmentions/medmentions.txt
rename to v1/medcat/examples/medmentions/medmentions.txt
diff --git a/medcat-v1/examples/run_standalone_meta_annotations.py b/v1/medcat/examples/run_standalone_meta_annotations.py
similarity index 100%
rename from medcat-v1/examples/run_standalone_meta_annotations.py
rename to v1/medcat/examples/run_standalone_meta_annotations.py
diff --git a/medcat-v1/examples/vocab.dat b/v1/medcat/examples/vocab.dat
similarity index 100%
rename from medcat-v1/examples/vocab.dat
rename to v1/medcat/examples/vocab.dat
diff --git a/medcat-v1/examples/vocab_data.txt b/v1/medcat/examples/vocab_data.txt
similarity index 100%
rename from medcat-v1/examples/vocab_data.txt
rename to v1/medcat/examples/vocab_data.txt
diff --git a/v1/medcat/examples/vocab_meta.dat b/v1/medcat/examples/vocab_meta.dat
new file mode 100644
index 000000000..c3f6d4851
Binary files /dev/null and b/v1/medcat/examples/vocab_meta.dat differ
diff --git a/medcat-v1/install_requires.txt b/v1/medcat/install_requires.txt
similarity index 93%
rename from medcat-v1/install_requires.txt
rename to v1/medcat/install_requires.txt
index d4f1e1609..689939e23 100644
--- a/medcat-v1/install_requires.txt
+++ b/v1/medcat/install_requires.txt
@@ -22,3 +22,4 @@
 'pydantic>=2.0.0,<3.0' # avoid next major release
 "humanfriendly~=10.0"  # for human readable file / RAM sizes
 "peft>=0.8.2"
+"setuptools-scm<9"  # NOTE: 9.1 has some compatibility issues due to our old setup.py based install
diff --git a/medcat-v1/medcat/LICENSE b/v1/medcat/medcat/LICENSE
similarity index 100%
rename from medcat-v1/medcat/LICENSE
rename to v1/medcat/medcat/LICENSE
diff --git a/medcat-v1/medcat/__init__.py b/v1/medcat/medcat/__init__.py
similarity index 100%
rename from medcat-v1/medcat/__init__.py
rename to v1/medcat/medcat/__init__.py
diff --git a/medcat-v1/medcat/cat.py b/v1/medcat/medcat/cat.py
similarity index 100%
rename from medcat-v1/medcat/cat.py
rename to v1/medcat/medcat/cat.py
diff --git a/medcat-v1/medcat/cdb.py b/v1/medcat/medcat/cdb.py
similarity index 100%
rename from medcat-v1/medcat/cdb.py
rename to v1/medcat/medcat/cdb.py
diff --git a/medcat-v1/medcat/cdb_maker.py b/v1/medcat/medcat/cdb_maker.py
similarity index 100%
rename from medcat-v1/medcat/cdb_maker.py
rename to v1/medcat/medcat/cdb_maker.py
diff --git a/medcat-v1/medcat/config.py b/v1/medcat/medcat/config.py
similarity index 100%
rename from medcat-v1/medcat/config.py
rename to v1/medcat/medcat/config.py
diff --git a/medcat-v1/medcat/config_meta_cat.py b/v1/medcat/medcat/config_meta_cat.py
similarity index 98%
rename from medcat-v1/medcat/config_meta_cat.py
rename to v1/medcat/medcat/config_meta_cat.py
index 42a9dab7a..964f567c7 100644
--- a/medcat-v1/medcat/config_meta_cat.py
+++ b/v1/medcat/medcat/config_meta_cat.py
@@ -164,7 +164,9 @@ class Model(MixingConfig, BaseModel):
 
     Paper reference - https://ieeexplore.ieee.org/document/7533053"""
     category_undersample: str = ''
-    """When using 2 phase learning, this category is used to undersample the data"""
+    """When using 2 phase learning, this category is used to undersample the data
+    The number of samples in the category sets the upper limit for all categories"""
+
     model_architecture_config: Dict = {'fc2': True, 'fc3': False,'lr_scheduler': True}
     """Specifies the architecture for BERT model.
 
diff --git a/medcat-v1/medcat/config_rel_cat.py b/v1/medcat/medcat/config_rel_cat.py
similarity index 100%
rename from medcat-v1/medcat/config_rel_cat.py
rename to v1/medcat/medcat/config_rel_cat.py
diff --git a/medcat-v1/medcat/config_transformers_ner.py b/v1/medcat/medcat/config_transformers_ner.py
similarity index 100%
rename from medcat-v1/medcat/config_transformers_ner.py
rename to v1/medcat/medcat/config_transformers_ner.py
diff --git a/medcat-v1/tests/utils/saving/__init__.py b/v1/medcat/medcat/datasets/__init__.py
similarity index 100%
rename from medcat-v1/tests/utils/saving/__init__.py
rename to v1/medcat/medcat/datasets/__init__.py
diff --git a/medcat-v1/medcat/datasets/data_collator.py b/v1/medcat/medcat/datasets/data_collator.py
similarity index 100%
rename from medcat-v1/medcat/datasets/data_collator.py
rename to v1/medcat/medcat/datasets/data_collator.py
diff --git a/medcat-v1/medcat/datasets/helpers.py b/v1/medcat/medcat/datasets/helpers.py
similarity index 100%
rename from medcat-v1/medcat/datasets/helpers.py
rename to v1/medcat/medcat/datasets/helpers.py
diff --git a/medcat-v1/medcat/datasets/medcat_annotations.py b/v1/medcat/medcat/datasets/medcat_annotations.py
similarity index 100%
rename from medcat-v1/medcat/datasets/medcat_annotations.py
rename to v1/medcat/medcat/datasets/medcat_annotations.py
diff --git a/medcat-v1/medcat/datasets/patient_concept_stream.py b/v1/medcat/medcat/datasets/patient_concept_stream.py
similarity index 100%
rename from medcat-v1/medcat/datasets/patient_concept_stream.py
rename to v1/medcat/medcat/datasets/patient_concept_stream.py
diff --git a/medcat-v1/medcat/datasets/transformers_ner.py b/v1/medcat/medcat/datasets/transformers_ner.py
similarity index 100%
rename from medcat-v1/medcat/datasets/transformers_ner.py
rename to v1/medcat/medcat/datasets/transformers_ner.py
diff --git a/v1/medcat/medcat/linking/__init__.py b/v1/medcat/medcat/linking/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/linking/context_based_linker.py b/v1/medcat/medcat/linking/context_based_linker.py
similarity index 100%
rename from medcat-v1/medcat/linking/context_based_linker.py
rename to v1/medcat/medcat/linking/context_based_linker.py
diff --git a/medcat-v1/medcat/linking/vector_context_model.py b/v1/medcat/medcat/linking/vector_context_model.py
similarity index 100%
rename from medcat-v1/medcat/linking/vector_context_model.py
rename to v1/medcat/medcat/linking/vector_context_model.py
diff --git a/medcat-v1/medcat/meta_cat.py b/v1/medcat/medcat/meta_cat.py
similarity index 96%
rename from medcat-v1/medcat/meta_cat.py
rename to v1/medcat/medcat/meta_cat.py
index e4e647d7c..8b922d488 100644
--- a/medcat-v1/medcat/meta_cat.py
+++ b/v1/medcat/medcat/meta_cat.py
@@ -51,11 +51,13 @@ class MetaCAT(PipeRunner):
     def __init__(self,
                  tokenizer: Optional[TokenizerWrapperBase] = None,
                  embeddings: Optional[Union[Tensor, numpy.ndarray]] = None,
-                 config: Optional[ConfigMetaCAT] = None) -> None:
+                 config: Optional[ConfigMetaCAT] = None,
+                 save_dir_path: Optional[str] = None) -> None:
         if config is None:
             config = ConfigMetaCAT()
         self.config = config
         set_all_seeds(config.general['seed'])
+        self.save_dir_path = save_dir_path
 
         if tokenizer is not None:
             # Set it in the config
@@ -90,7 +92,7 @@ def get_model(self, embeddings: Optional[Tensor]) -> nn.Module:
 
         elif config.model['model_name'] == 'bert':
             from medcat.utils.meta_cat.models import BertForMetaAnnotation
-            model = BertForMetaAnnotation(config)
+            model = BertForMetaAnnotation(config,self.save_dir_path)
 
             if not config.model.model_freeze_layers:
                 peft_config = LoraConfig(task_type=TaskType.SEQ_CLS, inference_mode=False, r=8, lora_alpha=16,
@@ -250,7 +252,7 @@ def train_raw(self, data_loaded: Dict, save_dir_path: Optional[str] = None, data
                 "The category name does not exist in this json file. You've provided '{}', "
                 "while the possible options are: {}. Additionally, ensure the populate the "
                 "'alternative_category_names' attribute to accommodate for variations.".format(
-                    category_name, " | ".join(list(data.keys()))))
+                    g_config['category_name'], " | ".join(list(data.keys()))))
 
         data = data[category_name]
         if data_oversampled:
@@ -261,12 +263,12 @@ def train_raw(self, data_loaded: Dict, save_dir_path: Optional[str] = None, data
         if not category_value2id:
             # Encode the category values
             full_data, data_undersampled, category_value2id = encode_category_values(data,
-                                                                                     category_undersample=self.config.model.category_undersample,alternative_class_names=g_config['alternative_class_names'])
+                                                                                     alternative_class_names=g_config['alternative_class_names'],config=self.config)
         else:
             # We already have everything, just get the data
             full_data, data_undersampled, category_value2id = encode_category_values(data,
                                                                                      existing_category_value2id=category_value2id,
-                                                                                     category_undersample=self.config.model.category_undersample,alternative_class_names=g_config['alternative_class_names'])
+                                                                                     alternative_class_names=g_config['alternative_class_names'],config=self.config)
         g_config['category_value2id'] = category_value2id
         self.config.model['nclasses'] = len(category_value2id)
 
@@ -380,6 +382,10 @@ def save(self, save_dir_path: str) -> None:
         model_save_path = os.path.join(save_dir_path, 'model.dat')
         torch.save(self.model.state_dict(), model_save_path)
 
+        if self.config.model.model_name == 'bert':
+            model_config_save_path = os.path.join(save_dir_path, 'bert_config.json')
+            self.model.bert_config.to_json_file(model_config_save_path)  # type: ignore
+
         # This is everything we need to save from the class, we do not
         # save the class itself.
 
@@ -416,7 +422,7 @@ def load(cls, save_dir_path: str, config_dict: Optional[Dict] = None) -> "MetaCA
             tokenizer = TokenizerWrapperBERT.load(save_dir_path, config.model.model_variant)
 
         # Create meta_cat
-        meta_cat = cls(tokenizer=tokenizer, embeddings=None, config=config)
+        meta_cat = cls(tokenizer=tokenizer, embeddings=None, config=config,save_dir_path=save_dir_path)
 
         # Load the model
         model_save_path = os.path.join(save_dir_path, 'model.dat')
@@ -483,10 +489,10 @@ def prepare_document(self, doc: Doc, input_ids: List, offset_mapping: List, lowe
                 # Checking if we've reached at the start of the entity
                 if start <= pair[0] or start <= pair[1]:
                     if end <= pair[1]:
-                        ctoken_idx.append(ind) # End reached
+                        ctoken_idx.append(last_ind+ind) # End reached; update the index to reflect the correct position since iteration does not start from the beginning
                         break
                     else:
-                        ctoken_idx.append(ind) # Keep going
+                        ctoken_idx.append(last_ind+ind) # Keep going; update the index to reflect the correct position since iteration does not start from the beginning
 
             # Start where the last ent was found, cannot be before it as we've sorted
             last_ind += ind  # If we did not start from 0 in the for loop
diff --git a/v1/medcat/medcat/ner/__init__.py b/v1/medcat/medcat/ner/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/ner/transformers_ner.py b/v1/medcat/medcat/ner/transformers_ner.py
similarity index 100%
rename from medcat-v1/medcat/ner/transformers_ner.py
rename to v1/medcat/medcat/ner/transformers_ner.py
diff --git a/medcat-v1/medcat/ner/vocab_based_annotator.py b/v1/medcat/medcat/ner/vocab_based_annotator.py
similarity index 100%
rename from medcat-v1/medcat/ner/vocab_based_annotator.py
rename to v1/medcat/medcat/ner/vocab_based_annotator.py
diff --git a/medcat-v1/medcat/ner/vocab_based_ner.py b/v1/medcat/medcat/ner/vocab_based_ner.py
similarity index 100%
rename from medcat-v1/medcat/ner/vocab_based_ner.py
rename to v1/medcat/medcat/ner/vocab_based_ner.py
diff --git a/medcat-v1/medcat/pipe.py b/v1/medcat/medcat/pipe.py
similarity index 100%
rename from medcat-v1/medcat/pipe.py
rename to v1/medcat/medcat/pipe.py
diff --git a/v1/medcat/medcat/pipeline/__init__.py b/v1/medcat/medcat/pipeline/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/pipeline/pipe_runner.py b/v1/medcat/medcat/pipeline/pipe_runner.py
similarity index 100%
rename from medcat-v1/medcat/pipeline/pipe_runner.py
rename to v1/medcat/medcat/pipeline/pipe_runner.py
diff --git a/v1/medcat/medcat/preprocessing/__init__.py b/v1/medcat/medcat/preprocessing/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/preprocessing/cleaners.py b/v1/medcat/medcat/preprocessing/cleaners.py
similarity index 100%
rename from medcat-v1/medcat/preprocessing/cleaners.py
rename to v1/medcat/medcat/preprocessing/cleaners.py
diff --git a/medcat-v1/medcat/preprocessing/iterators.py b/v1/medcat/medcat/preprocessing/iterators.py
similarity index 100%
rename from medcat-v1/medcat/preprocessing/iterators.py
rename to v1/medcat/medcat/preprocessing/iterators.py
diff --git a/medcat-v1/medcat/preprocessing/taggers.py b/v1/medcat/medcat/preprocessing/taggers.py
similarity index 100%
rename from medcat-v1/medcat/preprocessing/taggers.py
rename to v1/medcat/medcat/preprocessing/taggers.py
diff --git a/medcat-v1/medcat/preprocessing/tokenizers.py b/v1/medcat/medcat/preprocessing/tokenizers.py
similarity index 100%
rename from medcat-v1/medcat/preprocessing/tokenizers.py
rename to v1/medcat/medcat/preprocessing/tokenizers.py
diff --git a/medcat-v1/medcat/rel_cat.py b/v1/medcat/medcat/rel_cat.py
similarity index 100%
rename from medcat-v1/medcat/rel_cat.py
rename to v1/medcat/medcat/rel_cat.py
diff --git a/v1/medcat/medcat/stats/__init__.py b/v1/medcat/medcat/stats/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/stats/kfold.py b/v1/medcat/medcat/stats/kfold.py
similarity index 100%
rename from medcat-v1/medcat/stats/kfold.py
rename to v1/medcat/medcat/stats/kfold.py
diff --git a/medcat-v1/medcat/stats/mctexport.py b/v1/medcat/medcat/stats/mctexport.py
similarity index 100%
rename from medcat-v1/medcat/stats/mctexport.py
rename to v1/medcat/medcat/stats/mctexport.py
diff --git a/medcat-v1/medcat/stats/stats.py b/v1/medcat/medcat/stats/stats.py
similarity index 100%
rename from medcat-v1/medcat/stats/stats.py
rename to v1/medcat/medcat/stats/stats.py
diff --git a/v1/medcat/medcat/tokenizers/__init__.py b/v1/medcat/medcat/tokenizers/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/tokenizers/meta_cat_tokenizers.py b/v1/medcat/medcat/tokenizers/meta_cat_tokenizers.py
similarity index 100%
rename from medcat-v1/medcat/tokenizers/meta_cat_tokenizers.py
rename to v1/medcat/medcat/tokenizers/meta_cat_tokenizers.py
diff --git a/medcat-v1/medcat/tokenizers/transformers_ner.py b/v1/medcat/medcat/tokenizers/transformers_ner.py
similarity index 100%
rename from medcat-v1/medcat/tokenizers/transformers_ner.py
rename to v1/medcat/medcat/tokenizers/transformers_ner.py
diff --git a/v1/medcat/medcat/utils/__init__.py b/v1/medcat/medcat/utils/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/cdb_state.py b/v1/medcat/medcat/utils/cdb_state.py
similarity index 100%
rename from medcat-v1/medcat/utils/cdb_state.py
rename to v1/medcat/medcat/utils/cdb_state.py
diff --git a/medcat-v1/medcat/utils/cdb_utils.py b/v1/medcat/medcat/utils/cdb_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/cdb_utils.py
rename to v1/medcat/medcat/utils/cdb_utils.py
diff --git a/medcat-v1/medcat/utils/checkpoint.py b/v1/medcat/medcat/utils/checkpoint.py
similarity index 100%
rename from medcat-v1/medcat/utils/checkpoint.py
rename to v1/medcat/medcat/utils/checkpoint.py
diff --git a/medcat-v1/medcat/utils/config_utils.py b/v1/medcat/medcat/utils/config_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/config_utils.py
rename to v1/medcat/medcat/utils/config_utils.py
diff --git a/medcat-v1/medcat/utils/data_utils.py b/v1/medcat/medcat/utils/data_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/data_utils.py
rename to v1/medcat/medcat/utils/data_utils.py
diff --git a/medcat-v1/medcat/utils/decorators.py b/v1/medcat/medcat/utils/decorators.py
similarity index 100%
rename from medcat-v1/medcat/utils/decorators.py
rename to v1/medcat/medcat/utils/decorators.py
diff --git a/medcat-v1/medcat/utils/filters.py b/v1/medcat/medcat/utils/filters.py
similarity index 100%
rename from medcat-v1/medcat/utils/filters.py
rename to v1/medcat/medcat/utils/filters.py
diff --git a/medcat-v1/medcat/utils/hasher.py b/v1/medcat/medcat/utils/hasher.py
similarity index 100%
rename from medcat-v1/medcat/utils/hasher.py
rename to v1/medcat/medcat/utils/hasher.py
diff --git a/medcat-v1/medcat/utils/helpers.py b/v1/medcat/medcat/utils/helpers.py
similarity index 100%
rename from medcat-v1/medcat/utils/helpers.py
rename to v1/medcat/medcat/utils/helpers.py
diff --git a/medcat-v1/medcat/utils/make_vocab.py b/v1/medcat/medcat/utils/make_vocab.py
similarity index 100%
rename from medcat-v1/medcat/utils/make_vocab.py
rename to v1/medcat/medcat/utils/make_vocab.py
diff --git a/medcat-v1/medcat/utils/matutils.py b/v1/medcat/medcat/utils/matutils.py
similarity index 100%
rename from medcat-v1/medcat/utils/matutils.py
rename to v1/medcat/medcat/utils/matutils.py
diff --git a/medcat-v1/medcat/utils/medmentions.py b/v1/medcat/medcat/utils/medmentions.py
similarity index 100%
rename from medcat-v1/medcat/utils/medmentions.py
rename to v1/medcat/medcat/utils/medmentions.py
diff --git a/medcat-v1/medcat/utils/memory_optimiser.py b/v1/medcat/medcat/utils/memory_optimiser.py
similarity index 100%
rename from medcat-v1/medcat/utils/memory_optimiser.py
rename to v1/medcat/medcat/utils/memory_optimiser.py
diff --git a/v1/medcat/medcat/utils/meta_cat/__init__.py b/v1/medcat/medcat/utils/meta_cat/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/meta_cat/data_utils.py b/v1/medcat/medcat/utils/meta_cat/data_utils.py
similarity index 68%
rename from medcat-v1/medcat/utils/meta_cat/data_utils.py
rename to v1/medcat/medcat/utils/meta_cat/data_utils.py
index 3fff06514..9272d1a2d 100644
--- a/medcat-v1/medcat/utils/meta_cat/data_utils.py
+++ b/v1/medcat/medcat/utils/meta_cat/data_utils.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict, Optional, Tuple, Iterable, List, Union
+from typing import Any, Dict, Optional, Tuple, Iterable, List, Union, Set
 from medcat.tokenizers.meta_cat_tokenizers import TokenizerWrapperBase
 import copy
 import logging
@@ -153,8 +153,100 @@ def prepare_for_oversampled_data(data: List,
     return data_sampled
 
 
+def find_alternate_classname(category_value2id: Dict, category_values: Set, alternative_class_names: List[List]) -> Dict:
+    """Helper function to find and map to alternative class names for the given category.
+        Example: For Temporality category, 'Recent' is an alternative to 'Present'.
+
+       Args:
+           category_value2id (Dict):
+                The pre-defined category_value2id
+           category_values (Set):
+                Contains the classes (labels) found in the data
+           alternative_class_names (List):
+                Contains the mapping of alternative class names
+
+       Returns:
+           category_value2id (Dict):
+                Updated category_value2id with keys corresponding to alternative class names
+
+       Raises:
+           Exception: If no alternatives are found for labels in category_value2id that don't match any of the labels in the data
+           Exception: If the alternatives defined for labels in category_value2id that don't match any of the labels in the data
+    """
+
+    updated_category_value2id = {}
+    for _class in category_value2id.keys():
+        if _class in category_values:
+            updated_category_value2id[_class] = category_value2id[_class]
+        else:
+            found_in = [sub_map for sub_map in alternative_class_names if _class in sub_map]
+            failed_to_find = False
+            if len(found_in) != 0:
+                class_name_matched = [label for label in found_in[0] if label in category_values]
+                if len(class_name_matched) != 0:
+                    updated_category_value2id[class_name_matched[0]] = category_value2id[_class]
+                    logger.info("Class name '%s' does not exist in the data; however a variation of it "
+                                "'%s' is present; updating it...", _class, class_name_matched[0])
+                else:
+                    failed_to_find = True
+            else:
+                failed_to_find = True
+            if failed_to_find:
+                raise Exception("The classes set in the config are not the same as the one found in the data. "
+                                "The classes present in the config vs the ones found in the data - "
+                                f"{set(category_value2id.keys())}, {category_values}. Additionally, ensure the "
+                                "populate the 'alternative_class_names' attribute to accommodate for variations.")
+    category_value2id = copy.deepcopy(updated_category_value2id)
+    logger.info("Updated categoryvalue2id mapping - %s", category_value2id)
+    return category_value2id
+
+
+def undersample_data(data: List, category_value2id: Dict, label_data_,config) -> List:
+    """Undersamples the data for 2 phase learning
+
+        Args:
+            data (List):
+                Output of `prepare_from_json`.
+            category_value2id(Dict):
+                Map from category_value to id.
+            label_data_:
+                Map that stores the number of samples for each label
+            config:
+                MetaCAT config
+
+        Returns:
+            data_undersampled (list):
+                Return the data created for 2 phase learning) with integers inplace of strings for category values
+    """
+
+    data_undersampled = []
+    category_undersample = config.model.category_undersample
+    if category_undersample is None or category_undersample == '':
+        min_label = min(label_data_.values())
+
+    else:
+        if category_undersample not in label_data_.keys() and category_undersample in category_value2id.keys():
+            min_label = label_data_[category_value2id[category_undersample]]
+        else:
+            min_label = label_data_[category_undersample]
+
+    label_data_counter = {v: 0 for v in category_value2id.values()}
+
+    for sample in data:
+        if label_data_counter[sample[-1]] < min_label:
+            data_undersampled.append(sample)
+            label_data_counter[sample[-1]] += 1
+
+    label_data = {v: 0 for v in category_value2id.values()}
+    for i in range(len(data_undersampled)):
+        if data_undersampled[i][2] in category_value2id.values():
+            label_data[data_undersampled[i][2]] = label_data[data_undersampled[i][2]] + 1
+    logger.info("Updated number of samples per label (for 2-phase learning): %s", label_data)
+    return data_undersampled
+
+
 def encode_category_values(data: Dict, existing_category_value2id: Optional[Dict] = None,
-                           category_undersample=None, alternative_class_names: List[List] = []) -> Tuple:
+                           alternative_class_names: List[List] = [], config=None) -> Tuple:
     """Converts the category values in the data outputted by `prepare_from_json`
     into integer values.
 
@@ -163,22 +255,24 @@ def encode_category_values(data: Dict, existing_category_value2id: Optional[Dict
             Output of `prepare_from_json`.
         existing_category_value2id(Optional[Dict]):
             Map from category_value to id (old/existing).
-        category_undersample:
-            Name of class that should be used to undersample the data (for 2 phase learning)
         alternative_class_names:
             Map that stores the variations of possible class names for the given category (task)
+        config:
+            MetaCAT config
 
     Returns:
-        dict:
+        data (list):
             New data with integers inplace of strings for category values.
-        dict:
+        data_undersampled (list):
             New undersampled data (for 2 phase learning) with integers inplace of strings for category values
-        dict:
+        category_value2id (dict):
             Map from category value to ID for all categories in the data.
 
     Raises:
-        Exception: If categoryvalue2id is pre-defined and its labels do not match the labels found in the data
+        Exception: If the number of classes in config do not match the number of classes found in the data
+        Exception: If category_value2id is pre-defined, its labels do not match the labels found in the data and alternative_class_names is empty
     """
+
     data = list(data)
     if existing_category_value2id is not None:
         category_value2id = existing_category_value2id
@@ -187,43 +281,29 @@ def encode_category_values(data: Dict, existing_category_value2id: Optional[Dict
 
     category_values = set([x[2] for x in data])
 
-    # If categoryvalue2id is pre-defined, then making sure it is same as the labels found in the data
-    if len(category_value2id) != 0 and set(category_value2id.keys()) != category_values:
-        # if categoryvalue2id doesn't match the labels in the data, then 'alternative_class_names' has to be defined to check for variations
-        if len(alternative_class_names) == 0:
-            # Raise an exception since the labels don't match
+    if config:
+        if len(category_values) != config.model.nclasses:
             raise Exception(
-                "The classes set in the config are not the same as the one found in the data. "
-                "The classes present in the config vs the ones found in the data - "
-                f"{set(category_value2id.keys())}, {category_values}. Additionally, ensure the populate the "
-                "'alternative_class_names' attribute to accommodate for variations.")
-        updated_category_value2id = {}
-        for _class in category_value2id.keys():
-            if _class in category_values:
-                updated_category_value2id[_class] = category_value2id[_class]
-            else:
-                found_in = [sub_map for sub_map in alternative_class_names if _class in sub_map]
-                failed_to_find = False
-                if len(found_in) != 0:
-                    class_name_matched = [label for label in found_in[0] if label in category_values]
-                    if len(class_name_matched) != 0:
-                        updated_category_value2id[class_name_matched[0]] = category_value2id[_class]
-                        logger.info("Class name '%s' does not exist in the data; however a variation of it "
-                                    "'%s' is present; updating it...", _class, class_name_matched[0])
-                    else:
-                        failed_to_find = True
-                else:
-                    failed_to_find = True
-                if failed_to_find:
-                    raise Exception("The classes set in the config are not the same as the one found in the data. "
-                                    "The classes present in the config vs the ones found in the data - "
-                                    f"{set(category_value2id.keys())}, {category_values}. Additionally, ensure the "
-                                    "populate the 'alternative_class_names' attribute to accommodate for variations.")
-        category_value2id = copy.deepcopy(updated_category_value2id)
-        logger.info("Updated categoryvalue2id mapping - %s", category_value2id)
+                "The number of classes found in the data - %s does not match the number of classes defined in the config - %s (config.model.nclasses). Please update the number of classes and initialise the model again.",
+                len(category_values), config.model.nclasses)
+
+    # If categoryvalue2id is pre-defined or if all the classes aren't mentioned
+    if len(category_value2id) != 0:
+        # making sure it is same as the labels found in the data
+        if set(category_value2id.keys()) != category_values:
+            # if categoryvalue2id doesn't match the labels in the data, then 'alternative_class_names' has to be defined to check for variations
+            if len(alternative_class_names) == 0:
+                # Raise an exception since the labels don't match
+                raise Exception(
+                    "The classes set in the config are not the same as the one found in the data. "
+                    "The classes present in the config vs the ones found in the data - "
+                    f"{set(category_value2id.keys())}, {category_values}. Additionally, ensure the populate the "
+                    "'alternative_class_names' attribute to accommodate for variations.")
+
+            category_value2id = find_alternate_classname(category_value2id, category_values, alternative_class_names)
 
     # Else create the mapping from the labels found in the data
-    else:
+    if len(category_value2id) != len(category_values):
         for c in category_values:
             if c not in category_value2id:
                 category_value2id[c] = len(category_value2id)
@@ -239,30 +319,11 @@ def encode_category_values(data: Dict, existing_category_value2id: Optional[Dict
         if data[i][2] in category_value2id.values():
             label_data_[data[i][2]] = label_data_[data[i][2]] + 1
 
-    logger.info("Original number of samples per label: %s",label_data_)
-    # Undersampling data
-    if category_undersample is None or category_undersample == '':
-        min_label = min(label_data_.values())
-
-    else:
-        if category_undersample not in label_data_.keys() and category_undersample in category_value2id.keys():
-            min_label = label_data_[category_value2id[category_undersample]]
-        else:
-            min_label = label_data_[category_undersample]
+    logger.info("Original number of samples per label: %s", label_data_)
 
     data_undersampled = []
-    label_data_counter = {v: 0 for v in category_value2id.values()}
-
-    for sample in data:
-        if label_data_counter[sample[-1]] < min_label:
-            data_undersampled.append(sample)
-            label_data_counter[sample[-1]] += 1
-
-    label_data = {v: 0 for v in category_value2id.values()}
-    for i in range(len(data_undersampled)):
-        if data_undersampled[i][2] in category_value2id.values():
-            label_data[data_undersampled[i][2]] = label_data[data_undersampled[i][2]] + 1
-    logger.info("Updated number of samples per label (for 2-phase learning): %s",label_data)
+    if config and config.model.phase_number != 0:
+        data_undersampled = undersample_data(data, category_value2id, label_data_, config)
 
     return data, data_undersampled, category_value2id
 
diff --git a/medcat-v1/medcat/utils/meta_cat/ml_utils.py b/v1/medcat/medcat/utils/meta_cat/ml_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/meta_cat/ml_utils.py
rename to v1/medcat/medcat/utils/meta_cat/ml_utils.py
diff --git a/medcat-v1/medcat/utils/meta_cat/models.py b/v1/medcat/medcat/utils/meta_cat/models.py
similarity index 85%
rename from medcat-v1/medcat/utils/meta_cat/models.py
rename to v1/medcat/medcat/utils/meta_cat/models.py
index 543e0ca6b..fbcd470d3 100644
--- a/medcat-v1/medcat/utils/meta_cat/models.py
+++ b/v1/medcat/medcat/utils/meta_cat/models.py
@@ -87,16 +87,37 @@ def forward(self,
 class BertForMetaAnnotation(nn.Module):
     _keys_to_ignore_on_load_unexpected: List[str] = [r"pooler"]  # type: ignore
 
-    def __init__(self, config):
+    def __init__(self, config, save_dir_path=None):
         super(BertForMetaAnnotation, self).__init__()
-        _bertconfig = AutoConfig.from_pretrained(config.model.model_variant,num_hidden_layers=config.model['num_layers'])
+        if save_dir_path:
+            try:
+                _bertconfig = AutoConfig.from_pretrained(save_dir_path + "/bert_config.json",
+                                                         num_hidden_layers=config.model['num_layers'])
+            except Exception:
+                _bertconfig = AutoConfig.from_pretrained(config.model.model_variant,
+                                                         num_hidden_layers=config.model['num_layers'])
+                logger.info("BERT config not found locally — downloaded successfully from Hugging Face.")
+
+        else:
+            _bertconfig = AutoConfig.from_pretrained(config.model.model_variant,
+                                                     num_hidden_layers=config.model['num_layers'])
+
         if config.model['input_size'] != _bertconfig.hidden_size:
             logger.warning("Input size for %s model should be %d, provided input size is %d. Input size changed to %d",config.model.model_variant,_bertconfig.hidden_size,config.model['input_size'],_bertconfig.hidden_size)
 
-        bert = BertModel.from_pretrained(config.model.model_variant, config=_bertconfig)
+        try:
+            bert = BertModel.from_pretrained(config.model.model_variant, config=_bertconfig)
+        except Exception:
+            bert = BertModel(_bertconfig)
+            if save_dir_path:
+                logger.info("Could not load BERT pretrained weights from Hugging Face. BERT model loaded with random weights. \nThis workflow is fine since model initialization is performed while loading model pack from disk.")
+            else:
+                logger.warning("Could not load BERT pretrained weights from Hugging Face. BERT model loaded with random weights.\nDO NOT use this model without loading model pack.")
+
         self.config = config
         self.config.use_return_dict = False
         self.bert = bert
+        self.bert_config = _bertconfig
         self.num_labels = config.model["nclasses"]
         for param in self.bert.parameters():
             param.requires_grad = not config.model.model_freeze_layers
diff --git a/medcat-v1/medcat/utils/ml_utils.py b/v1/medcat/medcat/utils/ml_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/ml_utils.py
rename to v1/medcat/medcat/utils/ml_utils.py
diff --git a/medcat-v1/medcat/utils/model_creator.py b/v1/medcat/medcat/utils/model_creator.py
similarity index 100%
rename from medcat-v1/medcat/utils/model_creator.py
rename to v1/medcat/medcat/utils/model_creator.py
diff --git a/medcat-v1/medcat/utils/ner/__init__.py b/v1/medcat/medcat/utils/ner/__init__.py
similarity index 100%
rename from medcat-v1/medcat/utils/ner/__init__.py
rename to v1/medcat/medcat/utils/ner/__init__.py
diff --git a/medcat-v1/medcat/utils/ner/deid.py b/v1/medcat/medcat/utils/ner/deid.py
similarity index 100%
rename from medcat-v1/medcat/utils/ner/deid.py
rename to v1/medcat/medcat/utils/ner/deid.py
diff --git a/medcat-v1/medcat/utils/ner/helpers.py b/v1/medcat/medcat/utils/ner/helpers.py
similarity index 100%
rename from medcat-v1/medcat/utils/ner/helpers.py
rename to v1/medcat/medcat/utils/ner/helpers.py
diff --git a/medcat-v1/medcat/utils/ner/metrics.py b/v1/medcat/medcat/utils/ner/metrics.py
similarity index 100%
rename from medcat-v1/medcat/utils/ner/metrics.py
rename to v1/medcat/medcat/utils/ner/metrics.py
diff --git a/medcat-v1/medcat/utils/ner/model.py b/v1/medcat/medcat/utils/ner/model.py
similarity index 100%
rename from medcat-v1/medcat/utils/ner/model.py
rename to v1/medcat/medcat/utils/ner/model.py
diff --git a/medcat-v1/medcat/utils/normalizers.py b/v1/medcat/medcat/utils/normalizers.py
similarity index 100%
rename from medcat-v1/medcat/utils/normalizers.py
rename to v1/medcat/medcat/utils/normalizers.py
diff --git a/medcat-v1/medcat/utils/other.py b/v1/medcat/medcat/utils/other.py
similarity index 100%
rename from medcat-v1/medcat/utils/other.py
rename to v1/medcat/medcat/utils/other.py
diff --git a/medcat-v1/medcat/utils/postprocessing.py b/v1/medcat/medcat/utils/postprocessing.py
similarity index 100%
rename from medcat-v1/medcat/utils/postprocessing.py
rename to v1/medcat/medcat/utils/postprocessing.py
diff --git a/medcat-v1/medcat/utils/preprocess_snomed.py b/v1/medcat/medcat/utils/preprocess_snomed.py
similarity index 100%
rename from medcat-v1/medcat/utils/preprocess_snomed.py
rename to v1/medcat/medcat/utils/preprocess_snomed.py
diff --git a/medcat-v1/medcat/utils/preprocess_umls.py b/v1/medcat/medcat/utils/preprocess_umls.py
similarity index 100%
rename from medcat-v1/medcat/utils/preprocess_umls.py
rename to v1/medcat/medcat/utils/preprocess_umls.py
diff --git a/medcat-v1/medcat/utils/regression/README.md b/v1/medcat/medcat/utils/regression/README.md
similarity index 100%
rename from medcat-v1/medcat/utils/regression/README.md
rename to v1/medcat/medcat/utils/regression/README.md
diff --git a/medcat-v1/medcat/utils/regression/__init__.py b/v1/medcat/medcat/utils/regression/__init__.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/__init__.py
rename to v1/medcat/medcat/utils/regression/__init__.py
diff --git a/medcat-v1/medcat/utils/regression/checking.py b/v1/medcat/medcat/utils/regression/checking.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/checking.py
rename to v1/medcat/medcat/utils/regression/checking.py
diff --git a/medcat-v1/medcat/utils/regression/regression_checker.py b/v1/medcat/medcat/utils/regression/regression_checker.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/regression_checker.py
rename to v1/medcat/medcat/utils/regression/regression_checker.py
diff --git a/medcat-v1/medcat/utils/regression/results.py b/v1/medcat/medcat/utils/regression/results.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/results.py
rename to v1/medcat/medcat/utils/regression/results.py
diff --git a/medcat-v1/medcat/utils/regression/targeting.py b/v1/medcat/medcat/utils/regression/targeting.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/targeting.py
rename to v1/medcat/medcat/utils/regression/targeting.py
diff --git a/medcat-v1/medcat/utils/regression/utils.py b/v1/medcat/medcat/utils/regression/utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/regression/utils.py
rename to v1/medcat/medcat/utils/regression/utils.py
diff --git a/v1/medcat/medcat/utils/relation_extraction/__init__.py b/v1/medcat/medcat/utils/relation_extraction/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/relation_extraction/base_component.py b/v1/medcat/medcat/utils/relation_extraction/base_component.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/base_component.py
rename to v1/medcat/medcat/utils/relation_extraction/base_component.py
diff --git a/v1/medcat/medcat/utils/relation_extraction/bert/__init__.py b/v1/medcat/medcat/utils/relation_extraction/bert/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/relation_extraction/bert/config.py b/v1/medcat/medcat/utils/relation_extraction/bert/config.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/bert/config.py
rename to v1/medcat/medcat/utils/relation_extraction/bert/config.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/bert/model.py b/v1/medcat/medcat/utils/relation_extraction/bert/model.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/bert/model.py
rename to v1/medcat/medcat/utils/relation_extraction/bert/model.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/bert/tokenizer.py b/v1/medcat/medcat/utils/relation_extraction/bert/tokenizer.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/bert/tokenizer.py
rename to v1/medcat/medcat/utils/relation_extraction/bert/tokenizer.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/config.py b/v1/medcat/medcat/utils/relation_extraction/config.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/config.py
rename to v1/medcat/medcat/utils/relation_extraction/config.py
diff --git a/v1/medcat/medcat/utils/relation_extraction/llama/__init__.py b/v1/medcat/medcat/utils/relation_extraction/llama/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/relation_extraction/llama/config.py b/v1/medcat/medcat/utils/relation_extraction/llama/config.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/llama/config.py
rename to v1/medcat/medcat/utils/relation_extraction/llama/config.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/llama/model.py b/v1/medcat/medcat/utils/relation_extraction/llama/model.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/llama/model.py
rename to v1/medcat/medcat/utils/relation_extraction/llama/model.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/llama/tokenizer.py b/v1/medcat/medcat/utils/relation_extraction/llama/tokenizer.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/llama/tokenizer.py
rename to v1/medcat/medcat/utils/relation_extraction/llama/tokenizer.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/ml_utils.py b/v1/medcat/medcat/utils/relation_extraction/ml_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/ml_utils.py
rename to v1/medcat/medcat/utils/relation_extraction/ml_utils.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/models.py b/v1/medcat/medcat/utils/relation_extraction/models.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/models.py
rename to v1/medcat/medcat/utils/relation_extraction/models.py
diff --git a/v1/medcat/medcat/utils/relation_extraction/modernbert/__init__.py b/v1/medcat/medcat/utils/relation_extraction/modernbert/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/medcat/utils/relation_extraction/modernbert/config.py b/v1/medcat/medcat/utils/relation_extraction/modernbert/config.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/modernbert/config.py
rename to v1/medcat/medcat/utils/relation_extraction/modernbert/config.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/modernbert/model.py b/v1/medcat/medcat/utils/relation_extraction/modernbert/model.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/modernbert/model.py
rename to v1/medcat/medcat/utils/relation_extraction/modernbert/model.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/modernbert/tokenizer.py b/v1/medcat/medcat/utils/relation_extraction/modernbert/tokenizer.py
similarity index 95%
rename from medcat-v1/medcat/utils/relation_extraction/modernbert/tokenizer.py
rename to v1/medcat/medcat/utils/relation_extraction/modernbert/tokenizer.py
index b48789021..7bcf29f67 100644
--- a/medcat-v1/medcat/utils/relation_extraction/modernbert/tokenizer.py
+++ b/v1/medcat/medcat/utils/relation_extraction/modernbert/tokenizer.py
@@ -30,5 +30,5 @@ def load(cls, tokenizer_path: str, relcat_config: ConfigRelCAT, **kwargs) -> "To
         else:
             relcat_config.general.model_name = cls.pretrained_model_name_or_path
             tokenizer.hf_tokenizers = PreTrainedTokenizerFast.from_pretrained(
-                path=relcat_config.general.model_name)
+                relcat_config.general.model_name)
         return tokenizer
diff --git a/medcat-v1/medcat/utils/relation_extraction/pad_seq.py b/v1/medcat/medcat/utils/relation_extraction/pad_seq.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/pad_seq.py
rename to v1/medcat/medcat/utils/relation_extraction/pad_seq.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/rel_dataset.py b/v1/medcat/medcat/utils/relation_extraction/rel_dataset.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/rel_dataset.py
rename to v1/medcat/medcat/utils/relation_extraction/rel_dataset.py
diff --git a/medcat-v1/medcat/utils/relation_extraction/tokenizer.py b/v1/medcat/medcat/utils/relation_extraction/tokenizer.py
similarity index 100%
rename from medcat-v1/medcat/utils/relation_extraction/tokenizer.py
rename to v1/medcat/medcat/utils/relation_extraction/tokenizer.py
diff --git a/medcat-v1/medcat/utils/saving/__init__.py b/v1/medcat/medcat/utils/saving/__init__.py
similarity index 100%
rename from medcat-v1/medcat/utils/saving/__init__.py
rename to v1/medcat/medcat/utils/saving/__init__.py
diff --git a/medcat-v1/medcat/utils/saving/coding.py b/v1/medcat/medcat/utils/saving/coding.py
similarity index 100%
rename from medcat-v1/medcat/utils/saving/coding.py
rename to v1/medcat/medcat/utils/saving/coding.py
diff --git a/medcat-v1/medcat/utils/saving/converter.py b/v1/medcat/medcat/utils/saving/converter.py
similarity index 100%
rename from medcat-v1/medcat/utils/saving/converter.py
rename to v1/medcat/medcat/utils/saving/converter.py
diff --git a/medcat-v1/medcat/utils/saving/envsnapshot.py b/v1/medcat/medcat/utils/saving/envsnapshot.py
similarity index 100%
rename from medcat-v1/medcat/utils/saving/envsnapshot.py
rename to v1/medcat/medcat/utils/saving/envsnapshot.py
diff --git a/medcat-v1/medcat/utils/saving/serializer.py b/v1/medcat/medcat/utils/saving/serializer.py
similarity index 100%
rename from medcat-v1/medcat/utils/saving/serializer.py
rename to v1/medcat/medcat/utils/saving/serializer.py
diff --git a/medcat-v1/medcat/utils/spacy_compatibility.py b/v1/medcat/medcat/utils/spacy_compatibility.py
similarity index 100%
rename from medcat-v1/medcat/utils/spacy_compatibility.py
rename to v1/medcat/medcat/utils/spacy_compatibility.py
diff --git a/medcat-v1/medcat/utils/usage_monitoring.py b/v1/medcat/medcat/utils/usage_monitoring.py
similarity index 100%
rename from medcat-v1/medcat/utils/usage_monitoring.py
rename to v1/medcat/medcat/utils/usage_monitoring.py
diff --git a/medcat-v1/medcat/utils/vocab_utils.py b/v1/medcat/medcat/utils/vocab_utils.py
similarity index 100%
rename from medcat-v1/medcat/utils/vocab_utils.py
rename to v1/medcat/medcat/utils/vocab_utils.py
diff --git a/medcat-v1/medcat/vocab.py b/v1/medcat/medcat/vocab.py
similarity index 100%
rename from medcat-v1/medcat/vocab.py
rename to v1/medcat/medcat/vocab.py
diff --git a/v1/medcat/media/cat-logo.png b/v1/medcat/media/cat-logo.png
new file mode 100644
index 000000000..56b7971b1
Binary files /dev/null and b/v1/medcat/media/cat-logo.png differ
diff --git a/v1/medcat/media/cat-logo.svg b/v1/medcat/media/cat-logo.svg
new file mode 100644
index 000000000..df6a04d44
--- /dev/null
+++ b/v1/medcat/media/cat-logo.svg
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+<path d="M4545 1575 c-32 -31 -31 -38 5 -77 l29 -33 1 68 c0 37 -2 67 -5 67
+-3 0 -17 -11 -30 -25z"/>
+<path d="M4620 1536 c0 -31 4 -56 8 -56 5 0 19 11 33 26 22 23 23 27 8 52 -8
+15 -22 28 -32 30 -14 3 -17 -5 -17 -52z"/>
+<path d="M4563 1399 c-18 -18 -16 -54 3 -74 21 -21 22 -19 15 38 -5 39 -8 46
+-18 36z"/>
+<path d="M4620 1358 c1 -49 2 -51 15 -34 16 21 19 44 9 70 -12 32 -24 14 -24
+-36z"/>
+</g>
+</svg>
diff --git a/medcat-v1/media/data/medmentions_only_above_300.json b/v1/medcat/media/data/medmentions_only_above_300.json
similarity index 100%
rename from medcat-v1/media/data/medmentions_only_above_300.json
rename to v1/medcat/media/data/medmentions_only_above_300.json
diff --git a/medcat-v1/media/news.md b/v1/medcat/media/news.md
similarity index 100%
rename from medcat-v1/media/news.md
rename to v1/medcat/media/news.md
diff --git a/medcat-v1/models/README.md b/v1/medcat/models/README.md
similarity index 100%
rename from medcat-v1/models/README.md
rename to v1/medcat/models/README.md
diff --git a/medcat-v1/mypy.ini b/v1/medcat/mypy.ini
similarity index 100%
rename from medcat-v1/mypy.ini
rename to v1/medcat/mypy.ini
diff --git a/medcat-v1/notebooks/BERT for NER.ipynb b/v1/medcat/notebooks/BERT for NER.ipynb
similarity index 100%
rename from medcat-v1/notebooks/BERT for NER.ipynb
rename to v1/medcat/notebooks/BERT for NER.ipynb
diff --git a/medcat-v1/notebooks/Prepare and load data into neo4j.ipynb b/v1/medcat/notebooks/Prepare and load data into neo4j.ipynb
similarity index 100%
rename from medcat-v1/notebooks/Prepare and load data into neo4j.ipynb
rename to v1/medcat/notebooks/Prepare and load data into neo4j.ipynb
diff --git a/medcat-v1/notebooks/TWDS - MedCAT & Neo4j Tutorial.ipynb b/v1/medcat/notebooks/TWDS - MedCAT & Neo4j Tutorial.ipynb
similarity index 100%
rename from medcat-v1/notebooks/TWDS - MedCAT & Neo4j Tutorial.ipynb
rename to v1/medcat/notebooks/TWDS - MedCAT & Neo4j Tutorial.ipynb
diff --git a/v1/medcat/pyproject.toml b/v1/medcat/pyproject.toml
new file mode 100644
index 000000000..d3593237f
--- /dev/null
+++ b/v1/medcat/pyproject.toml
@@ -0,0 +1,8 @@
+[build-system]
+requires = ["setuptools>=42", "setuptools_scm[toml]>=6.2,<9", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools_scm]
+version_scheme = "guess-next-dev"
+local_scheme = "no-local-version"
+tag_regex = "^v[0-9]+\\.[0-9]+(\\.[0-9]+)?$"
diff --git a/medcat-v1/requirements-dev.txt b/v1/medcat/requirements-dev.txt
similarity index 73%
rename from medcat-v1/requirements-dev.txt
rename to v1/medcat/requirements-dev.txt
index fe487b560..fe003fdd7 100644
--- a/medcat-v1/requirements-dev.txt
+++ b/v1/medcat/requirements-dev.txt
@@ -1,3 +1,4 @@
+setuptools-scm>=8.0,<9.0 # NOTE: 9.1 has some compatibility issues due to our old setup.py based install
 .
 https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.7.1/en_core_web_md-3.7.1-py3-none-any.whl
 flake8~=7.0.0
diff --git a/medcat-v1/requirements.txt b/v1/medcat/requirements.txt
similarity index 100%
rename from medcat-v1/requirements.txt
rename to v1/medcat/requirements.txt
diff --git a/medcat-v1/setup.py b/v1/medcat/setup.py
similarity index 98%
rename from medcat-v1/setup.py
rename to v1/medcat/setup.py
index f46ce23ea..809c4564a 100644
--- a/medcat-v1/setup.py
+++ b/v1/medcat/setup.py
@@ -17,7 +17,7 @@
 setuptools.setup(
     name="medcat",
     setup_requires=["setuptools_scm"],
-    use_scm_version={"local_scheme": "no-local-version", "fallback_version": "unknown"},
+    use_scm_version={"local_scheme": "no-local-version", "fallback_version": "0.0.0"},
     author="w-is-h",
     author_email="w.kraljevic@gmail.com",
     description="Concept annotation tool for Electronic Health Records",
diff --git a/medcat-v1/tests/__init__.py b/v1/medcat/tests/__init__.py
similarity index 100%
rename from medcat-v1/tests/__init__.py
rename to v1/medcat/tests/__init__.py
diff --git a/medcat-v1/tests/check_deprecations.py b/v1/medcat/tests/check_deprecations.py
similarity index 100%
rename from medcat-v1/tests/check_deprecations.py
rename to v1/medcat/tests/check_deprecations.py
diff --git a/medcat-v1/tests/helper.py b/v1/medcat/tests/helper.py
similarity index 100%
rename from medcat-v1/tests/helper.py
rename to v1/medcat/tests/helper.py
diff --git a/medcat-v1/tests/model_creator/config_example.yml b/v1/medcat/tests/model_creator/config_example.yml
similarity index 100%
rename from medcat-v1/tests/model_creator/config_example.yml
rename to v1/medcat/tests/model_creator/config_example.yml
diff --git a/medcat-v1/tests/model_creator/medcat.txt b/v1/medcat/tests/model_creator/medcat.txt
similarity index 100%
rename from medcat-v1/tests/model_creator/medcat.txt
rename to v1/medcat/tests/model_creator/medcat.txt
diff --git a/medcat-v1/tests/model_creator/umls_sample.csv b/v1/medcat/tests/model_creator/umls_sample.csv
similarity index 100%
rename from medcat-v1/tests/model_creator/umls_sample.csv
rename to v1/medcat/tests/model_creator/umls_sample.csv
diff --git a/medcat-v1/tests/model_creator/wikipedia_sample.txt b/v1/medcat/tests/model_creator/wikipedia_sample.txt
similarity index 100%
rename from medcat-v1/tests/model_creator/wikipedia_sample.txt
rename to v1/medcat/tests/model_creator/wikipedia_sample.txt
diff --git a/medcat-v1/tests/ner/test_transformers_ner.py b/v1/medcat/tests/ner/test_transformers_ner.py
similarity index 100%
rename from medcat-v1/tests/ner/test_transformers_ner.py
rename to v1/medcat/tests/ner/test_transformers_ner.py
diff --git a/v1/medcat/tests/preprocessing/__init__.py b/v1/medcat/tests/preprocessing/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/tests/preprocessing/test_cleaners.py b/v1/medcat/tests/preprocessing/test_cleaners.py
similarity index 100%
rename from medcat-v1/tests/preprocessing/test_cleaners.py
rename to v1/medcat/tests/preprocessing/test_cleaners.py
diff --git a/medcat-v1/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-18 b/v1/medcat/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-18
similarity index 100%
rename from medcat-v1/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-18
rename to v1/medcat/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-18
diff --git a/medcat-v1/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-20 b/v1/medcat/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-20
similarity index 100%
rename from medcat-v1/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-20
rename to v1/medcat/tests/resources/checkpoints/cat_train/1643822916/checkpoint-2-20
diff --git a/medcat-v1/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-18 b/v1/medcat/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-18
similarity index 100%
rename from medcat-v1/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-18
rename to v1/medcat/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-18
diff --git a/medcat-v1/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-20 b/v1/medcat/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-20
similarity index 100%
rename from medcat-v1/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-20
rename to v1/medcat/tests/resources/checkpoints/cat_train/1643823460/checkpoint-2-20
diff --git a/medcat-v1/tests/resources/checkpoints/cat_train_supervised/1643823460/checkpoint-1-1 b/v1/medcat/tests/resources/checkpoints/cat_train_supervised/1643823460/checkpoint-1-1
similarity index 100%
rename from medcat-v1/tests/resources/checkpoints/cat_train_supervised/1643823460/checkpoint-1-1
rename to v1/medcat/tests/resources/checkpoints/cat_train_supervised/1643823460/checkpoint-1-1
diff --git a/medcat-v1/tests/resources/deid_test_data.json b/v1/medcat/tests/resources/deid_test_data.json
similarity index 100%
rename from medcat-v1/tests/resources/deid_test_data.json
rename to v1/medcat/tests/resources/deid_test_data.json
diff --git a/medcat-v1/tests/resources/deid_train_data.json b/v1/medcat/tests/resources/deid_train_data.json
similarity index 100%
rename from medcat-v1/tests/resources/deid_train_data.json
rename to v1/medcat/tests/resources/deid_train_data.json
diff --git a/medcat-v1/tests/resources/ff_core_fake_dr/meta.json b/v1/medcat/tests/resources/ff_core_fake_dr/meta.json
similarity index 100%
rename from medcat-v1/tests/resources/ff_core_fake_dr/meta.json
rename to v1/medcat/tests/resources/ff_core_fake_dr/meta.json
diff --git a/medcat-v1/tests/resources/jsonpickle_config.json b/v1/medcat/tests/resources/jsonpickle_config.json
similarity index 100%
rename from medcat-v1/tests/resources/jsonpickle_config.json
rename to v1/medcat/tests/resources/jsonpickle_config.json
diff --git a/medcat-v1/tests/resources/jsonpickle_meta_cat_config.json b/v1/medcat/tests/resources/jsonpickle_meta_cat_config.json
similarity index 100%
rename from medcat-v1/tests/resources/jsonpickle_meta_cat_config.json
rename to v1/medcat/tests/resources/jsonpickle_meta_cat_config.json
diff --git a/medcat-v1/tests/resources/jsonpickle_rel_cat_config.json b/v1/medcat/tests/resources/jsonpickle_rel_cat_config.json
similarity index 100%
rename from medcat-v1/tests/resources/jsonpickle_rel_cat_config.json
rename to v1/medcat/tests/resources/jsonpickle_rel_cat_config.json
diff --git a/medcat-v1/tests/resources/jsonpickle_tner_config.json b/v1/medcat/tests/resources/jsonpickle_tner_config.json
similarity index 100%
rename from medcat-v1/tests/resources/jsonpickle_tner_config.json
rename to v1/medcat/tests/resources/jsonpickle_tner_config.json
diff --git a/v1/medcat/tests/resources/mct_export_for_meta_cat_full_text.json b/v1/medcat/tests/resources/mct_export_for_meta_cat_full_text.json
new file mode 100644
index 000000000..e5a503578
--- /dev/null
+++ b/v1/medcat/tests/resources/mct_export_for_meta_cat_full_text.json
@@ -0,0 +1,10671 @@
+{
+    "projects": [
+        {
+            "name": "MT Samples (Clone)",
+            "id": 14,
+            "cuis": "",
+            "tuis": "T047,T048",
+            "documents": [
+                {
+                    "id": 3204,
+                    "name": "1687",
+                    "text": "SUBJECTIVE: , The patient is a 60-year-old female, who complained of coughing during meals.  Her outpatient evaluation revealed a mild-to-moderate cognitive linguistic deficit, which was completed approximately 2 months ago.  The patient had a history of hypertension and TIA/stroke.  The patient denied history of heartburn and/or gastroesophageal reflux disorder.  A modified barium swallow study was ordered to objectively evaluate the patient's swallowing function and safety and to rule out aspiration.,OBJECTIVE: , Modified barium swallow study was performed in the Radiology Suite in cooperation with Dr. ABC.  The patient was seated upright in a video imaging chair throughout this assessment.  To evaluate the patient's swallowing function and safety, she was administered graduated amounts of liquid and food mixed with barium in the form of thin liquid (teaspoon x2, cup sip x2); nectar-thick liquid (teaspoon x2, cup sip x2); puree consistency (teaspoon x2); and solid food consistency (1/4 cracker x1).,ASSESSMENT,ORAL STAGE:,  Premature spillage to the level of the valleculae and pyriform sinuses with thin liquid.  Decreased tongue base retraction, which contributed to vallecular pooling after the swallow.,PHARYNGEAL STAGE: , No aspiration was observed during this evaluation.  Penetration was noted with cup sips of thin liquid only.  Trace residual on the valleculae and on tongue base with nectar-thick puree and solid consistencies.  The patient's hyolaryngeal elevation and anterior movement are within functional limits.  Epiglottic inversion is within functional limits.,CERVICAL ESOPHAGEAL STAGE:  ,The patient's upper esophageal sphincter opening is well coordinated with swallow and readily accepted the bolus.  Radiologist noted reduced peristaltic action of the constricted muscles in the esophagus, which may be contributing to the patient's complaint of globus sensation.,DIAGNOSTIC IMPRESSION:,  No aspiration was noted during this evaluation.  Penetration with cup sips of thin liquid.  The patient did cough during this evaluation, but that was noted related to aspiration or penetration.,PROGNOSTIC IMPRESSION: ,Based on this evaluation, the prognosis for swallowing and safety is good.,PLAN: , Based on this evaluation and following recommendations are being made:,1.  The patient to take small bite and small sips to help decrease the risk of aspiration and penetration.,2.  The patient should remain upright at a 90-degree angle for at least 45 minutes after meals to decrease the risk of aspiration and penetration as well as to reduce her globus sensation.,3.  The patient should be referred to a gastroenterologist for further evaluation of her esophageal function.,The patient does not need any skilled speech therapy for her swallowing abilities at this time, and she is discharged from my services.",
+                    "last_modified": "2020-03-29 14:43:25.537525+00:00",
+                    "annotations": [
+                        {
+                            "id": 45580,
+                            "user": "wish",
+                            "cui": "C0017168",
+                            "value": "gastroesophageal reflux",
+                            "start": 332,
+                            "end": 355,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:34.303633+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45581,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 255,
+                            "end": 267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:30.394941+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45582,
+                            "user": "wish",
+                            "cui": "C0012634",
+                            "value": "disorder",
+                            "start": 356,
+                            "end": 364,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:06:48.174475+00:00",
+                            "manually_created": false,
+                            "acc": 0.364258020093567,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45583,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "stroke",
+                            "start": 276,
+                            "end": 282,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:33.410261+00:00",
+                            "manually_created": false,
+                            "acc": 0.39498916376357734,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45584,
+                            "user": "wish",
+                            "cui": "C0007787",
+                            "value": "TIA",
+                            "start": 272,
+                            "end": 275,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:06:32.727096+00:00",
+                            "manually_created": false,
+                            "acc": 0.43553226241827225,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3205,
+                    "name": "1605",
+                    "text": "CHIEF COMPLAINT: , Chest pain and fever.,HISTORY OF PRESENT ILLNESS: , This 48-year-old white married female presents in the emergency room after two days of increasing fever with recent diagnosis of urinary tract infection on outpatient treatment with nitrofurantoin.  The patient noted since she began to feel poorly earlier on the day of admission, had an episode of substernal chest discomfort that was associated with nausea, dizziness, and sweating.  The patient does have a past medical history of diabetes and hypertension.  In addition, the patient complained of some neck and head discomfort for which she underwent a lumbar puncture in the emergency room; this was normal, causes turned out to be normal as well.  The patient denies nosebleed, visual changes, nausea, vomiting, diarrhea or changes in bowel habits.  She has not had any musculoskeletal or neurological deficits.  She denies any rashes or skin lesions.,PAST MEDICAL HISTORY:  ,Hypertension, diabetes, hyperlipidemia, particularly elevated triglycerides with a slightly elevated LDL at 81 with an new standard LDL of 74, diabetics with a bad family history for cardiovascular disease such as this patient does have, and postmenopausal hot flashes.,PAST SURGICAL HISTORY:  ,Cholecystectomy, appendectomy, oophorectomy.,FAMILY HISTORY: , Positive for coronary artery disease in her father and brother in their 40s.,SOCIAL HISTORY: , She is married and does not smoke or drink nor did she ever.,PHYSICAL EXAMINATION: , On admission, temperature 99.4 degrees F., blood pressure 137/60, pulse 90 and regular without ectopy, respiratory rate 20 without unusual respiratory effort.  In general, she is well developed, well nourished, oriented, and alert and in no apparent distress.  Head, ears, eyes, nose, and throat are unremarkable.  Neck is supple.  No neck vein distention is noted.  No bruits are heard.  Chest is clear to percussion and auscultation.  Heart has a regular rhythm and rate without murmurs or rubs or gallops.  Abdomen is soft, obese, and nontender.  Musculoskeletal is intact without deformity.  However, the patient did develop severe cramp behind her left knee during her treadmill testing.  Neurologic:  Cranial nerves are intact and she is nonfocal.  Skin is warm and dry without rash or lesions noted.,LABORATORY FINDINGS: , Glucose 162, BUN 14, creatinine 1.0, sodium 137, potassium 3.6, chloride 103, bicarbonate 23, protein 4.2.  Liver function panel is normal.  CK was 82.  MB fraction was 1.0.  Troponin was less than 0.1 on three occasions.  White count was 12,200 with a normal differential, hemoglobin was 12.1, platelet count 230,000.  Urinalysis showed positive nitrites, positive leukocyte esterase, 5 to 10 white cells per high power field, and 1+ bacteria rods.  Spinal fluid was clear with 11 red cells, glucose 75, protein 67, white count 0.  EKG was normal.,DIAGNOSES ON ADMISSION:,1.  Urinary tract infection.,2.  Chest pain of unclear etiology, rule out myocardial infarction.,3.  Neck and back pain of unclear etiology with a negative spinal tap.,4.  Hypertension.,5.  Diabetes type II, not treated with insulin.,6.  Hyperlipidemia treated with TriCor but not statins.,7.  Arthritis.,ADDITIONAL LABORATORY STUDIES:,  B-natriuretic peptide was 26.  Urine smear and culture negative on 24 and 48 hours.  Chest x-ray was negative.  Lipid panel - triglycerides 249, VLDL 49, HDL 33, LDL 81.,COURSE IN THE HOSPITAL: , The patient was placed on home medications.  This will be listed at the end of the discharge summary.  She was put on rule out acute myocardial infarction routine, and she did in fact rule out.  She had a stress test completed on the day of discharge which was normal, and she was discharged with a diagnoses of chest pain, acute myocardial infarction ruled out, urinary tract infection, fever secondary to UTI, diabetes mellitus type 2 non-insulin treated, hyperlipidemia with elevated triglycerides and an LDL elevated to 81 with new normal being less than 70.  She has a strong family history of early myocardial disease in the men in their 40s.,DISCHARGE MEDICATIONS:,1.  Enteric-coated aspirin 81 mg one daily.  This is new, as the patient was not taking aspirin at home.,2.  TriCor 48 mg one daily.,3.  Zantac 40 mg one daily.,4.  Lisinopril 20 mg one daily.,5.  Mobic 75 mg one daily for arthritis.,6.  Metformin 500 mg one daily.,7.  Macrodantin one two times a day for several more days.,8.  Zocor 20 mg one daily, which is a new addition.,9.  Effexor XR 37.5 mg one daily.,DIET: , ADA 1800-calorie diet.,ACTIVITY:,  As tolerated.  Continue water exercise five days a week.,DISPOSITION: , Recheck at Hospital with a regular physician there in 1 week.  Consider Byetta as an adjunct to her diabetic treatment and efforts to weight control.",
+                    "last_modified": "2020-03-29 14:43:25.538333+00:00",
+                    "annotations": [
+                        {
+                            "id": 45585,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 3555,
+                            "end": 3582,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:02.455949+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45586,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 3752,
+                            "end": 3779,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:05.459069+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45587,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes mellitus type 2",
+                            "start": 3840,
+                            "end": 3864,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45588,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
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+                            "end": 223,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45589,
+                            "user": "wish",
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+                            "value": "Urinary tract infection",
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+                            "last_modified": "2020-04-01 22:07:51.028108+00:00",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45590,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3791,
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+                            "last_modified": "2020-04-01 22:08:08.633594+00:00",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45591,
+                            "user": "wish",
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+                            "value": "coronary artery disease",
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+                            "correct": true,
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+                            "alternative": false,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45592,
+                            "user": "wish",
+                            "cui": "C0007222",
+                            "value": "cardiovascular disease",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45593,
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+                            "value": "myocardial infarction",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45594,
+                            "user": "wish",
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+                            "value": "myocardial disease",
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+                            "end": 4051,
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+                                    "name": "Status",
+                                    "value": "Other",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45595,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes type II",
+                            "start": 3084,
+                            "end": 3100,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:57.136409+00:00",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45596,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 977,
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+                            "validated": true,
+                            "correct": true,
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+                            "last_modified": "2020-04-01 22:07:35.202838+00:00",
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45597,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "Hyperlipidemia",
+                            "start": 3132,
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+                            "validated": true,
+                            "correct": true,
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+                            "last_modified": "2020-04-01 22:07:58.301306+00:00",
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+                        },
+                        {
+                            "id": 45598,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 3886,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:11.504493+00:00",
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45599,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 518,
+                            "end": 530,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:19.824713+00:00",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45600,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 915,
+                            "end": 927,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:30.761228+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45601,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
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+                            "validated": true,
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+                            "deleted": false,
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+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:31.752120+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
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+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:55.539090+00:00",
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+                            "acc": 1.0,
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45603,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "Arthritis",
+                            "start": 3188,
+                            "end": 3197,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:01.409098+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45604,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "arthritis",
+                            "start": 4323,
+                            "end": 4332,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:17.017254+00:00",
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+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                            ]
+                        },
+                        {
+                            "id": 45605,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 505,
+                            "end": 513,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:10.971059+00:00",
+                            "manually_created": false,
+                            "acc": 0.6018078580960269,
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45606,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
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+                            "end": 975,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:34.520090+00:00",
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+                                    "value": "Confirmed",
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+                        },
+                        {
+                            "id": 45607,
+                            "user": "wish",
+                            "cui": "C0338614",
+                            "value": "episode",
+                            "start": 359,
+                            "end": 366,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
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+                            "acc": 0.4721907772509702,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45608,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2283,
+                            "end": 2290,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:07:42.009112+00:00",
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+                            "acc": 0.4283007394246088,
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+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45609,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "UTI",
+                            "start": 3835,
+                            "end": 3838,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:09.822242+00:00",
+                            "manually_created": false,
+                            "acc": 0.46978565675753237,
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+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3206,
+                    "name": "466",
+                    "text": "HISTORY OF PRESENT ILLNESS: , The patient is a 45-year-old male complaining of abdominal pain.  The patient also has a long-standing history of diabetes which is treated with Micronase daily.,PAST MEDICAL HISTORY: , There is no significant past medical history noted today.,PHYSICAL EXAMINATION:,HEENT:  Patient denies ear abnormalities, nose abnormalities and throat abnormalities.,Cardio:  Patient has history of elevated cholesterol, but does not have ASHD, hypertension and PVD.,Resp:  Patient denies asthma, lung infections and lung lesions.,GI:  Patient denies colon abnormalities, gall bladder problems, liver abnormalities and peptic ulcer disease.,GU:  Patient has history of Urinary tract disorder, but does not have Bladder disorder and Kidney disorder.,Endocrine:  Patient has history of diabetes, but does not have hormonal irregularities and thyroid abnormalities.,Dermatology:  Patient denies allergic reactions, rashes and skin lesions.,MEDS:,  Micronase 2.5 mg Tab PO QAM #30.  Bactrim 400/80 Tab PO BID #30.,SOCIAL HISTORY:,  No known history of drug or alcohol abuse.  Work, diet, and exercise patterns are within normal limits.,FAMILY HISTORY:,  No significant family history.,REVIEW OF SYSTEMS:,  Non-contributory.,Vital Signs:  Height = 72 in.  Weight =184 lbs.  Upright BP = 120/80 mmHg.  Pulse = 80 bpm.  Resp =12 pm.  Patient is afebrile.,Neck:  The neck is supple.  There is no jugular venous distension.  The thyroid is nontender, or normal size and conto.,Lungs:  Lung expansion and excursions are symmetric.  The lungs are clear to auscultation and percussion.,Cardio:  There is a regular rhythm.  SI and S2 are normal.  No abnormal heart sounds are detected.  Blood pressure is equal bilaterally.,Abdomen:  Normal bowel sounds are present.  The abdomen is soft; The abdomen is nontender; without organomegaly; There is no CVA tenderness.  No hernias are noted.,Extremities:  There is no clubbing, cyanosis, or edema.,ASSESSMENT: , Diabetes type II uncontrolled.  Acute cystitis.,PLAN: , Endocrinology Consult, complete CBC.  ,RX: , Micronase 2.5 mg Tab PO QAM #30, Bactrim 400/80 Tab PO BID #30.",
+                    "last_modified": "2020-03-29 14:43:25.538944+00:00",
+                    "annotations": [
+                        {
+                            "id": 45610,
+                            "user": "wish",
+                            "cui": "C0005686",
+                            "value": "Bladder disorder",
+                            "start": 727,
+                            "end": 743,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:04.963047+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45611,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes type II",
+                            "start": 1961,
+                            "end": 1977,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:22.971441+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45612,
+                            "user": "wish",
+                            "cui": "C0085762",
+                            "value": "alcohol abuse",
+                            "start": 1072,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:16.543377+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45613,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 461,
+                            "end": 473,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:39.944840+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45614,
+                            "user": "wish",
+                            "cui": "C0030920",
+                            "value": "peptic ulcer",
+                            "start": 635,
+                            "end": 647,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:55.170764+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45615,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 939,
+                            "end": 951,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:09.327632+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45616,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infections",
+                            "start": 518,
+                            "end": 528,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:45.078963+00:00",
+                            "manually_created": false,
+                            "acc": 0.2189961876901541,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45617,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 144,
+                            "end": 152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:26.019432+00:00",
+                            "manually_created": false,
+                            "acc": 0.6189171698870887,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45618,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 800,
+                            "end": 808,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:07.314908+00:00",
+                            "manually_created": false,
+                            "acc": 0.6618118296206791,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45619,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 538,
+                            "end": 545,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:47.360059+00:00",
+                            "manually_created": false,
+                            "acc": 0.2678316210771088,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45620,
+                            "user": "wish",
+                            "cui": "C0002395",
+                            "value": "disease",
+                            "start": 648,
+                            "end": 655,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:59.745959+00:00",
+                            "manually_created": false,
+                            "acc": 0.4166455409661361,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45621,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 505,
+                            "end": 511,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:42.301508+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45622,
+                            "user": "wish",
+                            "cui": "C0007222",
+                            "value": "Cardio",
+                            "start": 383,
+                            "end": 389,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:35.661505+00:00",
+                            "manually_created": false,
+                            "acc": 0.3241157459179974,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45623,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver",
+                            "start": 611,
+                            "end": 616,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:08:53.437013+00:00",
+                            "manually_created": false,
+                            "acc": 0.44179782307727244,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45624,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "ASHD",
+                            "start": 455,
+                            "end": 459,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:08:37.658986+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45625,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug",
+                            "start": 1064,
+                            "end": 1068,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:09:15.003931+00:00",
+                            "manually_created": false,
+                            "acc": 0.5135172722580458,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45626,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "CVA",
+                            "start": 1852,
+                            "end": 1855,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:19.052860+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3207,
+                    "name": "1383",
+                    "text": "CHIEF COMPLAINT:,  Toothache.,HISTORY OF PRESENT ILLNESS:  ,This is a 29-year-old male who has had multiple problems with his teeth due to extensive dental disease and has had many of his teeth pulled.  Complains of new tooth pain.  The patient states his current toothache is to both upper and lower teeth on the left side for approximately three days.  The patient states that he would have gone to see his regular dentist but he has missed so many appointments that they now do not allow him to schedule regular appointments, he has to be on standby appointments only.  The patient denies any other problems or complaints.  The patient denies any recent illness or injuries.  The patient does have OxyContin and Vicodin at home which he uses for his knee pain but he wants more pain medicines because he does not want to use up that medicine for his toothache when he wants to say this with me.,REVIEW OF SYSTEMS: , CONSTITUTIONAL:  No fever or chills.  No fatigue or weakness.  No recent weight change.  HEENT:  No headache, no neck pain, the toothache pain for the past three days as previously mentioned.  There is no throat swelling, no sore throat, no difficulty swallowing solids or liquids.  The patient denies any rhinorrhea.  No sinus congestion, pressure or pain, no ear pain, no hearing change, no eye pain or vision change.  CARDIOVASCULAR:  No chest pain.  RESPIRATIONS:  No shortness of breath or cough.  GASTROINTESTINAL:  No abdominal pain.  No nausea or vomiting.  GENITOURINARY:  No dysuria.  MUSCULOSKELETAL:  No back pain.  No muscle or joint aches.  SKIN:  No rashes or lesions.  NEUROLOGIC:  No vision or hearing change.  No focal weakness or numbness.  Normal speech.  HEMATOLOGIC/LYMPHATIC:  No lymph node swelling has been noted.,PAST MEDICAL HISTORY: , Chronic knee pain.,CURRENT MEDICATIONS: , OxyContin and Vicodin.,ALLERGIES:,  PENICILLIN AND CODEINE.,SOCIAL HISTORY: , The patient is still a smoker.,PHYSICAL EXAMINATION:,  VITAL SIGNS:  Temperature 97.9 oral, blood pressure is 146/83, pulse is 74, respirations 16, oxygen saturation 98% on room air and interpreted as normal.  CONSTITUTIONAL:  The patient is well nourished and well developed.  The patient is a little overweight but otherwise appears to be healthy.  The patient is calm, comfortable, in no acute distress, and looks well.  The patient is pleasant and cooperative.  HEENT:  Eyes are normal with clear conjunctiva and cornea bilaterally.  There is no icterus, injection, or discharge.  Pupils are 3 mm and equally round and reactive to light bilaterally.  There is no absence of light sensitivity or photophobia.  Extraocular motions are intact bilaterally.  Ears are normal bilaterally without any sign of infection.  There is no erythema, swelling of canals.  Tympanic membranes are intact without any erythema, bulging or fluid levels or bubbles behind it.  Nose is normal without rhinorrhea or audible congestion.  There is no tenderness over the sinuses.  NECK:  Supple, nontender, and full range of motion.  There is no meningismus.  No cervical lymphadenopathy.  No JVD.  Mouth and oropharynx shows multiple denture and multiple dental caries.  The patient has tenderness to tooth #12 as well as tooth #21.  The patient has normal gums.  There is no erythema or swelling.  There is no purulent or other discharge noted.  There is no fluctuance or suggestion of abscess.  There are no new dental fractures.  The oropharynx is normal without any sign of infection.  There is no erythema, exudate, lesion or swelling.  The buccal membranes are normal.  Mucous membranes are moist.  The floor of the mouth is normal without any abscess, suggestion of Ludwig's syndrome.  CARDIOVASCULAR:  Heart is regular rate and rhythm without murmur, rub, or gallop.  RESPIRATIONS:  Clear to auscultation bilaterally without shortness of breath.  GASTROINTESTINAL:  Abdomen is normal and nontender.  MUSCULOSKELETAL:  No abnormalities are noted to back, arms and legs.  The patient has normal use of his extremities.  SKIN:  No rashes or lesions.  NEUROLOGIC:  Cranial nerves II through XII are intact.  Motor and sensory are intact to the extremities.  The patient has normal speech and normal ambulation.  PSYCHIATRIC:  The patient is alert and oriented x4.  Normal mood and affect.  HEMATOLOGIC/LYMPHATIC:  No cervical lymphadenopathy is palpated.,EMERGENCY DEPARTMENT COURSE: , The patient did request a pain shot and the patient was given Dilaudid of 4 mg IM without any adverse reaction.,DIAGNOSES:,1.  ODONTALGIA.,2.  MULTIPLE DENTAL CARIES.,CONDITION UPON DISPOSITION:  ,Stable.,DISPOSITION: , To home.,PLAN: , The patient was given a list of local dental clinics that he can follow up with or he can choose to stay with his own dentist that he wishes.  The patient was requested to have reevaluation within two days.  The patient was given a prescription for Percocet and clindamycin.  The patient was given drug precautions for the use of these medicines.  The patient was offered discharge instructions on toothache but states that he already has it.  He declined the instructions.  The patient was asked to return to the emergency room, should he have any worsening of his condition or develop any other problems or symptoms of concern.",
+                    "last_modified": "2020-03-29 14:43:25.539562+00:00",
+                    "annotations": [
+                        {
+                            "id": 45627,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 3053,
+                            "end": 3068,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:58.255255+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45628,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4312,
+                            "end": 4327,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:34.133576+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45629,
+                            "user": "wish",
+                            "cui": "C0011334",
+                            "value": "dental caries",
+                            "start": 3137,
+                            "end": 3150,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:10:01.692775+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45630,
+                            "user": "wish",
+                            "cui": "C0011334",
+                            "value": "DENTAL CARIES",
+                            "start": 4524,
+                            "end": 4537,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:45.517808+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45631,
+                            "user": "wish",
+                            "cui": "C0018939",
+                            "value": "HEMATOLOGIC",
+                            "start": 1695,
+                            "end": 1706,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:34.360399+00:00",
+                            "manually_created": false,
+                            "acc": 0.22995448598124954,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45632,
+                            "user": "wish",
+                            "cui": "C1561826",
+                            "value": "overweight",
+                            "start": 2204,
+                            "end": 2214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:43.609627+00:00",
+                            "manually_created": false,
+                            "acc": 0.40765819622769134,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45633,
+                            "user": "wish",
+                            "cui": "C0276289",
+                            "value": "infection",
+                            "start": 2708,
+                            "end": 2717,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:45.289538+00:00",
+                            "manually_created": false,
+                            "acc": 0.3472818375532451,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45634,
+                            "user": "wish",
+                            "cui": "C0276289",
+                            "value": "infection",
+                            "start": 3460,
+                            "end": 3469,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:17.254714+00:00",
+                            "manually_created": false,
+                            "acc": 0.43685647165296126,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45635,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2732,
+                            "end": 2740,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:51.532677+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45636,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2805,
+                            "end": 2813,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:54.232734+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45637,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 3258,
+                            "end": 3266,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:10:19.475755+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45638,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 3484,
+                            "end": 3492,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:19.847993+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45639,
+                            "user": "wish",
+                            "cui": "C0000833",
+                            "value": "abscess",
+                            "start": 3369,
+                            "end": 3376,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:08.431015+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45640,
+                            "user": "wish",
+                            "cui": "C0000833",
+                            "value": "abscess",
+                            "start": 3632,
+                            "end": 3639,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:27.845421+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45641,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 1594,
+                            "end": 1601,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:09:31.576589+00:00",
+                            "manually_created": false,
+                            "acc": 0.6099575539229034,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45642,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 4028,
+                            "end": 4035,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:31.816445+00:00",
+                            "manually_created": false,
+                            "acc": 0.5407752127088525,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45643,
+                            "user": "wish",
+                            "cui": "C0238792",
+                            "value": "lesion",
+                            "start": 3503,
+                            "end": 3509,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:11:24.558034+00:00",
+                            "manually_created": false,
+                            "acc": 0.41279213922918384,
+                            "meta_anns": []
+                        },
+                        {
+                            "id": 45644,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "use",
+                            "start": 4932,
+                            "end": 4935,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:11:50.309731+00:00",
+                            "manually_created": false,
+                            "acc": 0.5099382027049228,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45645,
+                            "user": "wish",
+                            "cui": "C0026896",
+                            "value": "mg",
+                            "start": 4448,
+                            "end": 4450,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:11:38.946152+00:00",
+                            "manually_created": false,
+                            "acc": 0.3147452734907136,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3208,
+                    "name": "898",
+                    "text": "HISTORY: , A 34-year-old male presents today self-referred at the recommendation of Emergency Room physicians and his nephrologist to pursue further allergy evaluation and treatment.  Please refer to chart for history and physical, as well as the medical records regarding his allergic reaction treatment at ABC Medical Center for further details and studies.  In summary, the patient had an acute event of perioral swelling, etiology uncertain, occurring on 05/03/2008 requiring transfer from ABC Medical Center to XYZ Medical Center due to a history of renal failure requiring dialysis and he was admitted and treated and felt that his allergy reaction was to Keflex, which was being used to treat a skin cellulitis dialysis shunt infection.  In summary, the patient states he has some problems with tolerating grass allergies, environmental and inhalant allergies occasionally, but has never had anaphylactic or angioedema reactions.  He currently is not taking any medication for allergies.  He is taking atenolol for blood pressure control.  No further problems have been noted upon his discharge and treatment, which included corticosteroid therapy and antihistamine therapy and monitoring.,PAST MEDICAL HISTORY:,  History of urticaria, history of renal failure with hypertension possible source of renal failure, history of dialysis times 2 years and a history of hypertension.,PAST SURGICAL HISTORY:,  PermCath insertion times 3 and peritoneal dialysis.,FAMILY HISTORY: , Strong for heart disease, carcinoma, and a history of food allergies, and there is also a history of hypertension.,CURRENT MEDICATIONS: , Atenolol, sodium bicarbonate, Lovaza, and Dialyvite.,ALLERGIES: , Heparin causing thrombocytopenia.,SOCIAL HISTORY: , Denies tobacco or alcohol use.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Age 34, blood pressure 128/78, pulse 70, temperature is 97.8, weight is 207 pounds, and height is 5 feet 7 inches.,GENERAL:  The patient is healthy appearing; alert and oriented to person, place and time; responds appropriately; in no acute distress.,HEAD:  Normocephalic.  No masses or lesions noted.,FACE:  No facial tenderness or asymmetry noted.,EYES:  Pupils are equal, round and reactive to light and accommodation bilaterally.  Extraocular movements are intact bilaterally.,EARS:  The tympanic membranes are intact bilaterally with a good light reflex.  The external auditory canals are clear with no lesions or masses noted.  Weber and Rinne tests are within normal limits.,NOSE:  The nasal cavities are patent bilaterally.  The nasal septum is midline.  There are no nasal discharges.  No masses or lesions noted.,THROAT:  The oral mucosa appears healthy.  Dental hygiene is maintained well.  No oropharyngeal masses or lesions noted.  No postnasal drip noted.,NECK:  The neck is supple with no adenopathy or masses palpated.  The trachea is midline.  The thyroid gland is of normal size with no nodules.,NEUROLOGIC:  Facial nerve is intact bilaterally.  The remaining cranial nerves are intact without focal deficit.,LUNGS:  Clear to auscultation bilaterally.  No wheeze noted.,HEART:  Regular rate and rhythm.  No murmur noted.,IMPRESSION:  ,1.  Acute allergic reaction, etiology uncertain, however, suspicious for Keflex.,2.  Renal failure requiring dialysis.,3.  Hypertension.,RECOMMENDATIONS:  ,RAST allergy testing for both food and environmental allergies was performed, and we will get the results back to the patient with further recommendations to follow.  If there is any specific food or inhalant allergen that is found to be quite high on the sensitivity scale, we would probably recommend the patient to avoid the offending agent to hold off on any further reactions.  At this point, I would recommend the patient stopping any further use of cephalosporin antibiotics, which may be the cause of his allergic reaction, and I would consider this an allergy.  Being on atenolol, the patient has a more difficult time treating acute anaphylaxis, but I do think this is medically necessary at this time and hopefully we can find specific causes for his allergic reactions.  An EpiPen was also prescribed in the event of acute angioedema or allergic reaction or sensation of impending allergic reaction and he is aware he needs to proceed directly to the emergency room for further evaluation and treatment recommendations after administration of an EpiPen.",
+                    "last_modified": "2020-03-29 14:43:25.540195+00:00",
+                    "annotations": [
+                        {
+                            "id": 45646,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 1700,
+                            "end": 1716,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:10.552207+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45647,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 555,
+                            "end": 568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:48.914834+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45648,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 1254,
+                            "end": 1267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:52.106478+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45649,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 1305,
+                            "end": 1318,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:54.009724+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45650,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 1491,
+                            "end": 1504,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:57.541986+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45651,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "Renal failure",
+                            "start": 3243,
+                            "end": 3256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:31.998007+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45652,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1273,
+                            "end": 1285,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:53.041028+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45653,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1371,
+                            "end": 1383,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:55.734929+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45654,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1581,
+                            "end": 1593,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:04.949054+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45655,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3281,
+                            "end": 3293,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:35.696490+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45656,
+                            "user": "wish",
+                            "cui": "C0042109",
+                            "value": "urticaria",
+                            "start": 1232,
+                            "end": 1241,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:13:50.372294+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45657,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2092,
+                            "end": 2099,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:12.152359+00:00",
+                            "manually_created": false,
+                            "acc": 0.3704270896102714,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45658,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2613,
+                            "end": 2620,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:19.128936+00:00",
+                            "manually_created": false,
+                            "acc": 0.3315342964752096,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45659,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2734,
+                            "end": 2741,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:23.941239+00:00",
+                            "manually_created": false,
+                            "acc": 0.30666852142678713,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45660,
+                            "user": "wish",
+                            "cui": "C0267797",
+                            "value": "Acute",
+                            "start": 3162,
+                            "end": 3167,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:14:30.776289+00:00",
+                            "manually_created": false,
+                            "acc": 0.3295163435531775,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3209,
+                    "name": "1734",
+                    "text": "REASON FOR CONSULTATION:,  Cardiac evaluation.,HISTORY: , This is a 42-year old Caucasian male with no previous history of hypertension, diabetes mellitus, rheumatic fever, rheumatic heart disease, or gout.  Patient used to take medicine for hyperlipidemia and then that was stopped.  He used to live in Canada and he moved to Houston four months ago.  He started complaining of right-sided upper chest pain, starts at the right neck and goes down to the right side.  It lasts around 10-15 minutes at times.  It is 5/10 in quality.  It is not associated with shortness of breath, nausea, vomiting, or sweating.  It is not also associated with food.  He denies exertional chest pain, dyspnea on exertion, orthopnea, paroxysmal nocturnal dyspnea, or pedal edema.  No palpitations, syncope or presyncope.  He said he has been having little cough at night and he went to see an allergy doctor who prescribed several medications for him and told him that he has asthma.  No fever, chills, cough, hemoptysis, hematemesis or hematochezia.  His EKG shows normal sinus rhythm, normal EKG.,PAST MEDICAL HISTORY:,  Unremarkable, except for hyperlipidemia.,SOCIAL HISTORY: , He said he quit smoking 20 years ago and does not drink alcohol.,FAMILY HISTORY: , Positive for high blood pressure and heart disease.  His father died in his 50s with an acute myocardial infarction.,MEDICATION:,  Ranitidine 300 mg daily, Flonase 50 mcg nasal spray as needed, Allegra 100 mg daily, Advair 500/50 bid.,ALLERGIES:,  No known allergies.,REVIEW OF SYSTEMS:,  As mentioned above,EXAMINATION:,  This is a 42-year old male awake, alert, and oriented x3 in no acute distress.,Wt:  238",
+                    "last_modified": "2020-03-29 14:43:25.540767+00:00",
+                    "annotations": [
+                        {
+                            "id": 45661,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 1334,
+                            "end": 1361,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:15.107939+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45662,
+                            "user": "wish",
+                            "cui": "C0035439",
+                            "value": "rheumatic heart disease",
+                            "start": 173,
+                            "end": 196,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:50.850936+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45663,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "high blood pressure",
+                            "start": 1259,
+                            "end": 1278,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:09.809614+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45664,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 137,
+                            "end": 154,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:46.956775+00:00",
+                            "manually_created": false,
+                            "acc": 0.5773470660791813,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45665,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 242,
+                            "end": 256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:58.292795+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45666,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1129,
+                            "end": 1143,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:07.201170+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45667,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 1283,
+                            "end": 1296,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:12.122883+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45668,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 123,
+                            "end": 135,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:43.611443+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45669,
+                            "user": "wish",
+                            "cui": "C0035435",
+                            "value": "rheumatic",
+                            "start": 156,
+                            "end": 165,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:48.795566+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45670,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 957,
+                            "end": 963,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:15:02.340351+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45671,
+                            "user": "wish",
+                            "cui": "C0018099",
+                            "value": "gout",
+                            "start": 201,
+                            "end": 205,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:14:53.013518+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3210,
+                    "name": "716",
+                    "text": "REASON FOR CONSULTATION: , Mesothelioma.,HISTORY OF PRESENT ILLNESS: , The patient is a 73-year-old pleasant Caucasian male who is known to me from his previous hospitalization.  He has also been seen by me in the clinic in the last few weeks.  He was admitted on January 18, 2008, with recurrent malignant pleural effusion.  On the same day, he underwent VATS and thoracoscopic drainage of the pleural effusion with right pleural nodule biopsy, lysis of adhesions, and directed talc insufflation by Dr. X.  He was found to have 2.5L of bloody pleural effusions, some loculated pleural effusion, adhesions, and carcinomatosis in the parenchyma.  His hospital course here has been significant for dyspnea, requiring ICU stay.  He also had a chest tube, which was taken out few days ago.  He has also had paroxysmal atrial fibrillation, for which he has been on amiodarone by cardiologist.  The biopsy from the pleural nodule done on the right on January 18, 2008, shows malignant epithelioid neoplasm consistent with mesothelioma.  Immunohistochemical staining showed tumor cells positive for calretinin and focally positive for D2-40, MOC-31.  Tumor cells are negative for CDX-2, and monoclonal CEA.,The patient at this time reports that overall he has been feeling better with decrease in shortness of breath and cough over the last few days.  He does have edema in his lower extremities.  He is currently on 4L of oxygen.  He denies any nausea, vomiting, abdominal pain, recent change in bowel habit, melena, or hematochezia.  No neurological or musculoskeletal signs or symptoms.  He reports that he is able to ambulate to the bathroom, but gets short of breath on exertion.  He denies any other complaints.,PAST MEDICAL HISTORY:,  Left ventricular systolic dysfunction as per the previous echocardiogram done in December 2007, history of pneumonia in December 2007, admitted to XYZ Hospital.  History of recurrent pleural effusions, status post pleurodesis and locally advanced non-small cell lung cancer as per the biopsy that was done in XYZ Hospital.,ALLERGIES:,  No known drug allergies.,CURRENT MEDICATIONS:  ,In the hospital are amiodarone, diltiazem, enoxaparin, furosemide, methylprednisolone, pantoprazole, Zosyn, p.r.n. acetaminophen, and hydrocodone.,SOCIAL HISTORY: , The patient is married and lives with his spouse.  He has history of tobacco smoking and also reports history of alcohol abuse.  No history of illicit drug abuse.,FAMILY HISTORY:  ,Significant for history of ?cancer? in the mother and history of coronary artery disease in the father.,REVIEW OF SYSTEMS: , As stated above.  He denies any obvious asbestos exposure, as far as he can remember.,PHYSICAL EXAMINATION,GENERAL:  He is awake, alert, in no acute distress.  He is currently on 4L of oxygen by nasal cannula.,VITAL SIGNS:  Blood pressure 97/65 mmHg, respiration is 20 per minute, pulse is 72 per minute, and temperature 98.3 degrees Fahrenheit.,HEENT:  No icterus or sinus tenderness.  Oral mucosa is moist.,NECK:  Supple.  No lymphadenopathy.,LUNGS:  Clear to auscultation except few diffuse wheezing present bilaterally.,CARDIOVASCULAR:  S1 and S2 normal.,ABDOMEN:  Soft, nondistended, and nontender.  No hepatosplenomegaly.  Bowel sounds are present in all four quadrants.,EXTREMITIES:  Bilateral pedal edema is present in both the extremities.  No signs of DVT.,NEUROLOGICAL:  Grossly nonfocal.,INVESTIGATION:,  Labs done on January 28, 2008, showed BUN of 23 and creatinine of 0.9.  Liver enzymes checked on January 17, 2008, were unremarkable.  CBC done on January 26, 2008, showed WBC of 19.8, hemoglobin of 10.7, hematocrit of 30.8, and platelet count of 515,000.  Chest x-ray from yesterday shows right-sided Port-A-Cath, diffuse right lung parenchymal and pleural infiltration without change, mild pulmonary vascular congestion.,ASSESSMENT,1.  Mesothelioma versus primary lung carcinoma, two separate reports as for the two separate biopsies done several weeks apart.,2.  Chronic obstructive pulmonary disease.,3.  Paroxysmal atrial fibrillation.,4.  Malignant pleural effusion, status post surgery as stated above.,5.  Anemia of chronic disease.,RECOMMENDATIONS,1.  Compare the slides from the previous biopsy done in December at XYZ Hospital with recurrent pleural nodule biopsy slides.  I have discussed regarding this with Dr. Y in Pathology here at Methodist XYZ Hospital.  I will try to obtain the slides for comparison from XYZ Hospital for comparison and immunohistochemical staining.,2.  I will also discuss with Dr. X and also with intervention radiologist at XYZ Hospital regarding the exact sites of the two biopsies.,3.  Once the results of the above are available, I will make further recommendations regarding treatment.  The patient has significantly decreased performance status with dyspnea on exertion and is being planned for transfer to Triumph Hospital for rehab, which I agree with.,4.  Continue present care.,Discussed regarding the above in great details with the patient and his wife and daughter and answered the questions to their satisfaction.  They clearly understand the above.  They also understand his very poor performance status at this time, and the risks and benefits of delaying chemotherapy due to this.",
+                    "last_modified": "2020-03-29 14:43:25.541346+00:00",
+                    "annotations": [
+                        {
+                            "id": 45672,
+                            "user": "wish",
+                            "cui": "C1277187",
+                            "value": "Left ventricular systolic dysfunction",
+                            "start": 1735,
+                            "end": 1772,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:28.599815+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45673,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "Chronic obstructive pulmonary disease",
+                            "start": 3973,
+                            "end": 4010,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:56.258036+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45674,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 2530,
+                            "end": 2553,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:39.941833+00:00",
+                            "manually_created": false,
+                            "acc": 0.6704740826100033,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45675,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 814,
+                            "end": 833,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:27.227336+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45676,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 4027,
+                            "end": 4046,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:59.503170+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45677,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusions",
+                            "start": 544,
+                            "end": 561,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:25.329478+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45678,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusions",
+                            "start": 1918,
+                            "end": 1935,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:32.987492+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45679,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 307,
+                            "end": 323,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:22.392246+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45680,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 395,
+                            "end": 411,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:23.567032+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45681,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 578,
+                            "end": 594,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:26.519053+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45682,
+                            "user": "wish",
+                            "cui": "C0032227",
+                            "value": "pleural effusion",
+                            "start": 4062,
+                            "end": 4078,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:00.564067+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45683,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 3018,
+                            "end": 3033,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:43.254487+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45684,
+                            "user": "wish",
+                            "cui": "C0008679",
+                            "value": "chronic disease",
+                            "start": 4131,
+                            "end": 4146,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:06.988150+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45685,
+                            "user": "wish",
+                            "cui": "C0085762",
+                            "value": "alcohol abuse",
+                            "start": 2397,
+                            "end": 2410,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:34.180610+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45686,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 2435,
+                            "end": 2445,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:37.214252+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45687,
+                            "user": "wish",
+                            "cui": "C0032285",
+                            "value": "pneumonia",
+                            "start": 1842,
+                            "end": 1851,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:31.742070+00:00",
+                            "manually_created": false,
+                            "acc": 0.5295302438470427,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45688,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "Anemia",
+                            "start": 4121,
+                            "end": 4127,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:05.196366+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45689,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 3352,
+                            "end": 3355,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:16:53.905564+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3219,
+                    "name": "879",
+                    "text": "CHIEF COMPLAINT: , \"Bloody bump on penis.\",HISTORY OF PRESENT ILLNESS: , This is a 29-year-old African-American male who presents to the Emergency Department today with complaint of a bleeding bump on his penis.  The patient states that he has had a large bump on the end of his penis for approximately a year and a half.  He states that it has never bled before.  It has never caused him any pain or has never been itchy.  The patient states that he is sexually active, but has been monogamous with the same person for the past 13 years.  He states that he believes that his sexual partner is monogamous as well and reciprocates in this practice.  The patient does state that last night he was \"trying to get some,\" meaning that he was engaging in sexual intercourse, at which time this bump bent backwards and ripped a portion of the skin on the tip of his penis.  The patient said that there is a large amount of blood from this injury.  This happened last night, but he was embarrassed to come to the Emergency Department yesterday when it was bleeding.  The patient has been able to get the bleeding to stop, but the large bump is still located on the end of his penis, and he is concerned that it will rip off, and does want it removed.  The patient denies any drainage or discharge from his penis.  He denies fevers or chills recently.  He also denies nausea or vomiting.  The patient has not had any discharge from his penis.  He has not had any other skin lesions on his penis that are new to him.  He states that he has had numerous bumps along the head of his penis and on the shaft of his penis for many years.  The patient has never had these checked out.  He denies fevers, chills, or night sweats.  He denies unintentional weight gain or loss.  He denies any other bumps, rashes, or lesions throughout the skin on his body.,PAST MEDICAL HISTORY:  ,No significant medical problems.,PAST SURGICAL HISTORY: , Surgery for excision of a bullet after being shot in the back.,SOCIAL HABITS: , The patient denies illicit drug usage.  He occasionally smokes tobacco and drinks alcohol.,MEDICATIONS: , None.,ALLERGIES: , No known medical allergies.,PHYSICAL EXAMINATION:  ,GENERAL:  This is an African-American male who appears his stated age of 29 years.  He is well nourished, well developed, in no acute distress.  The patient is pleasant.  He is sitting on a Emergency Department gurney.,VITAL SIGNS:  Temperature 98.4 degrees Fahrenheit, blood pressure of 139/78, pulse of 83, respiratory rate of 18, and pulse oximetry of 98% on room air.,HEART:  Regular rate and rhythm.  Clear S1, S2.  No murmur, rub, or gallop is appreciated.,LUNGS:  Clear to auscultation bilaterally.  No wheezes, rales, or rhonchi.,ABDOMEN:  Soft, nontender, nondistended, and positive bowel sounds throughout.,GENITOURINARY:  The patient's external genitalia is markedly abnormal.  There is a large pedunculated mass dangling from the glans of the penis at approximately the urethral meatus.  This pedunculated mass is approximately 1.5 x 2 cm in size and pedunculated by a stalk that is approximately 2 mm in diameter.  The patient appears to have condylomatous changes along the glans of the penis and on the shaft of the penis as well.  There are no open lesions at this point.  There is a small tear of the skin where the mass attaches to the glans near the urethral meatus.  Bleeding is currently stanch, and there is no sign of secondary infection at this time.  Bilateral testicles are descended and normal without pain or mass bilaterally.  There is no inguinal adenopathy.,EXTREMITIES:  No edema.,SKIN:  Warm, dry, and intact.  No rash or lesion.,DIAGNOSTIC STUDIES:  ,Non-emergency department courses.  It is thought that this patient should proceed directly with a referral to Urology for excision and biopsy of this mass.,ASSESSMENT AND PLAN: , Penile mass.  The patient does have a large pedunculated penile mass.  He will be referred to the urologist who is on-call today.  The patient will need this mass excised and biopsied.  The patient verbalized understanding the plan of followup and is discharged in satisfactory condition from the ER.,",
+                    "last_modified": "2020-03-29 14:43:25.546568+00:00",
+                    "annotations": [
+                        {
+                            "id": 45708,
+                            "user": "wish",
+                            "cui": "C0442886",
+                            "value": "secondary infection",
+                            "start": 3419,
+                            "end": 3438,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:39.337200+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45709,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 1460,
+                            "end": 1472,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:23.095842+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45710,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 1798,
+                            "end": 1805,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:29.683323+00:00",
+                            "manually_created": false,
+                            "acc": 0.5152935955197913,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45711,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 3243,
+                            "end": 3250,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:36.386503+00:00",
+                            "manually_created": false,
+                            "acc": 0.5041846704136316,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45712,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesion",
+                            "start": 3633,
+                            "end": 3639,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:46.446153+00:00",
+                            "manually_created": false,
+                            "acc": 0.4671035161056112,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3220,
+                    "name": "1881",
+                    "text": "CHIEF COMPLAINT:,  Joints are hurting all over and checkup.,HISTORY OF PRESENT ILLNESS:,  A 77-year-old white female who is having more problems with joint pain.  It seems to be all over decreasing her mobility, hands and wrists.  No real swelling but maybe just a little more uncomfortable than they have been.  The Daypro generic does not seem to be helping at all.  No fever or chills.  No erythema.,She actually is doing better.  Her diarrhea now has settled down and she is having less urinary incontinence, less pedal edema.  Blood sugars seem to be little better as well.,The patient also has gotten back on her Zoloft because she thinks she may be depressed, sleeping all the time, just not herself and really is disturbed that she cannot be more mobile in things.  She has had no polyuria, polydipsia, or other problems.  No recent blood pressure checks.,PAST MEDICAL HISTORY:,  Little over a year ago, the patient was found to have lumbar discitis and was treated with antibiotics and ended up having debridement and instrumentation with Dr. XYZ and is doing really quite well.  She had a pulmonary embolus with that hospitalization.,PAST SURGICAL HISTORY:,  She has also had a hysterectomy, salpingoophorectomy, appendectomy, tonsillectomy, two carpal tunnel releases.  She also has had a parathyroidectomy but still has had some borderline elevated calcium.  Also, hypertension, hyperlipidemia, as well as diabetes.  She also has osteoporosis.,SOCIAL HISTORY:,  The patient still smokes about a third of a pack a day, also drinks only occasional alcoholic drinks.  The patient is married.  She has three grown sons, all of which are very successful in professional positions.  One son is a gastroenterologist in San Diego, California.,MEDICATIONS:,  Nifedipine-XR 90 mg daily, furosemide 20 mg half tablet b.i.d., lisinopril 20 mg daily, gemfibrozil 600 mg b.i.d., Synthroid 0.1 mg daily, Miacalcin one spray in alternate nostrils daily, Ogen 0.625 mg daily, Daypro 600 mg t.i.d., also Lortab 7.5 two or three a day, also Flexeril occasionally, also other vitamin.,ALLERGIES: , She had some adverse reactions to penicillin, sulfa, perhaps contrast medium, and some mycins.,FAMILY HISTORY:,  As far as heart disease there is none in the family.  As far as cancer two cousins had breast cancer.  As far as diabetes father and grandfather had type II diabetes.  Son has type I diabetes and is struggling with that at the moment.,REVIEW OF SYSTEMS:,General:  No fever, chills, or night sweats.  Weight stable.,HEENT:  No sudden blindness, diplopia, loss of vision, i.e., in one eye or other visual changes.  No hearing changes or ear problems.  No swallowing problems or mouth lesions.,Endocrine:  Hypothyroidism but no polyuria or polydipsia.  She watches her blood sugars.  They have been doing quite well.,Respiratory:  No shortness of breath, cough, sputum production, hemoptysis or breathing problems.,Cardiovascular:  No chest pain or chest discomfort.  No paroxysmal nocturnal dyspnea, orthopnea, palpitations, or heart attacks.,GI:  As mentioned, has had diarrhea though thought to be possibly due to Clostridium difficile colitis that now has gotten better.  She has had some irritable bowel syndrome and bowel abnormalities for years.,GU:  No urinary problems, dysuria, polyuria or polydipsia, kidney stones, or recent infections.  No vaginal bleeding or discharge.,Musculoskeletal:  As above.,Hematological:  She has had some anemia in the past.,Neurological:  No blackouts, convulsions, seizures, paralysis, strokes, or headaches.,PHYSICAL EXAMINATION:,Vital Signs:  Weight is 164 pounds.  Blood pressure:  140/64.  Pulse:  72.  Blood pressure repeated by me with the patient sitting taken on the right arm is 148/60, left arm 136/58; these are while sitting on the exam table.,General:  A well-developed pleasant female who is comfortable in no acute distress otherwise but she does move slowly.,HEENT:  Skull is normocephalic.  TMs intact and shiny with good auditory acuity to finger rub.  Pupils equal, round, reactive to light and accommodation with extraocular movements intact.  Fundi benign.  Sclerae and conjunctivae were normal.,Neck:  No thyromegaly or cervical lymphadenopathy.  Carotids are 2+ and equal bilaterally and no bruits present.,Lungs:  Clear to auscultation and percussion with good respiratory movement.  No bronchial breath sounds, egophony, or rales are present.,Heart:  Regular rhythm and rate with no murmurs, gallops, rubs, or enlargement.  PMI normal position.  All pulses are 2+ and equal bilaterally.,Abdomen:  Obese, soft with no hepatosplenomegaly or masses.,Breasts:  No predominant masses, discharge, or asymmetry.,Pelvic Exam:  Normal external genitalia, vagina and cervix.  Pap smear done.  Bimanual exam shows no uterine enlargement and is anteroflexed.  No adnexal masses or tenderness.  Rectal exam is normal with soft brown stool Hemoccult negative.,Extremities:  The patient does appear to have some doughiness of all of the MCP joints of the hands and the wrists as well.  No real erythema.  There is no real swelling of the knees.  No new pedal edema.,Lymph nodes:  No cervical, axillary, or inguinal adenopathy.,Neurological:  Cranial nerves II-XII are grossly intact.  Deep tendon reflexes are 2+ and equal bilaterally.  Cerebellar and motor function intact in all extremities.  Good vibratory and positional sense in all extremities and dermatomes.  Plantar reflexes are downgoing bilaterally.,LABORATORY:  ,CBC shows a hemoglobin of 10.5, hematocrit 35.4, otherwise normal.  Urinalysis is within normal limits.  Chem profile showed a BUN of 54, creatinine 1.4, glucose 116, calcium was 10.8, cholesterol 198, triglycerides 171, HDL 43, LDL 121, TSH is normal, hemoglobin A1C is 5.3.,ASSESSMENT:,1.  Arthralgias that are suspicious for inflammatory arthritis, but certainly seems to be more active and bothersome.  I think we need to look at this more closely.,2.  Diarrhea that seems to have resolved.  Whether this is related to the above is unclear.,3.  Diabetes mellitus type II, really fairly well controlled.",
+                    "last_modified": "2020-03-29 14:43:25.547151+00:00",
+                    "annotations": [
+                        {
+                            "id": 45713,
+                            "user": "wish",
+                            "cui": "C0022104",
+                            "value": "irritable bowel syndrome",
+                            "start": 3193,
+                            "end": 3217,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:59.636993+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45714,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "inflammatory arthritis",
+                            "start": 5805,
+                            "end": 5827,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:19.383165+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45715,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "pulmonary embolus",
+                            "start": 1099,
+                            "end": 1116,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:04.846833+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45716,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "Diabetes mellitus",
+                            "start": 6026,
+                            "end": 6043,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:24.539470+00:00",
+                            "manually_created": false,
+                            "acc": 0.742267263706876,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45717,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type I diabetes",
+                            "start": 2379,
+                            "end": 2394,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:24.272403+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45718,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4193,
+                            "end": 4208,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:07.556477+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45719,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1391,
+                            "end": 1405,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:07.392262+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45720,
+                            "user": "wish",
+                            "cui": "C1398668",
+                            "value": "loss of vision",
+                            "start": 2557,
+                            "end": 2571,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:28.385131+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45721,
+                            "user": "wish",
+                            "cui": "C0020676",
+                            "value": "Hypothyroidism",
+                            "start": 2706,
+                            "end": 2720,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:36.928759+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45722,
+                            "user": "wish",
+                            "cui": "C1301700",
+                            "value": "Cardiovascular",
+                            "start": 2915,
+                            "end": 2929,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:39.234439+00:00",
+                            "manually_created": false,
+                            "acc": 0.25777777799090396,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45723,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "heart disease",
+                            "start": 2213,
+                            "end": 2226,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:11.149312+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45724,
+                            "user": "wish",
+                            "cui": "C0021167",
+                            "value": "incontinence",
+                            "start": 499,
+                            "end": 511,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:56.081103+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45725,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1377,
+                            "end": 1389,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:06.209200+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45726,
+                            "user": "wish",
+                            "cui": "C0029456",
+                            "value": "osteoporosis",
+                            "start": 1442,
+                            "end": 1454,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:10.079774+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45727,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depressed",
+                            "start": 656,
+                            "end": 665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:01.952187+00:00",
+                            "manually_created": false,
+                            "acc": 0.49230332138606425,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45728,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 393,
+                            "end": 401,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:17:53.935885+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45729,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 5046,
+                            "end": 5054,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:16.822730+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45730,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 1418,
+                            "end": 1426,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:08.423141+00:00",
+                            "manually_created": false,
+                            "acc": 0.5279517237798568,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45731,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 2316,
+                            "end": 2324,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:12.666208+00:00",
+                            "manually_created": false,
+                            "acc": 0.46348884049664657,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                },
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45732,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 2360,
+                            "end": 2368,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:22.001765+00:00",
+                            "manually_created": false,
+                            "acc": 0.7269673077658119,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45733,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "strokes",
+                            "start": 3528,
+                            "end": 3535,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:04.792289+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45734,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2685,
+                            "end": 2692,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:33.352171+00:00",
+                            "manually_created": false,
+                            "acc": 0.25067711295738243,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45735,
+                            "user": "wish",
+                            "cui": "C0009324",
+                            "value": "colitis",
+                            "start": 3139,
+                            "end": 3146,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:18:48.185934+00:00",
+                            "manually_created": false,
+                            "acc": 0.5057932935104288,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45736,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 3445,
+                            "end": 3451,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:03.017818+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45737,
+                            "user": "wish",
+                            "cui": "C3839342",
+                            "value": "PMI",
+                            "start": 4491,
+                            "end": 4494,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:19:15.588806+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3221,
+                    "name": "899",
+                    "text": "CHIEF COMPLAINT:  ,Followup diabetes mellitus, type 1., ,SUBJECTIVE:,  Patient is a 34-year-old male with significant diabetic neuropathy.  He has been off on insurance for over a year.  Has been using NPH and Regular insulin to maintain his blood sugars.  States that he is deathly afraid of having a low blood sugar due to motor vehicle accident he was in several years ago.  Reports that his blood sugar dropped too low which caused the accident.  Since this point in time, he has been unwilling to let his blood sugars fall within a normal range, for fear of hypoglycemia. Also reports that he regulates his blood sugars with how he feels, rarely checking his blood sugar with a glucometer., ,Reports that he has been worked up extensively at hospital and was seeing an Endocrinologist at one time.  Reports that he had some indications of kidney damage when first diagnosed.  His urine microalbumin today is 100.  His last hemoglobin A1C drawn at the end of December is 11.9.  Reports that at one point, he was on Lantus which worked well and he did not worry about his blood sugars dropping too low. While using Lantus, he was able to get his hemoglobin A1C down to 7.  His last CMP shows an elevated alkaline phosphatase level of 168. He denies alcohol or drug use and is a non smoker.  Reports he quit drinking 3 years ago. I have discussed with patient that it would be appropriate to do an SGGT and hepatic panel today.  Patient also has a history of gastroparesis and impotence.  Patient requests Nexium and Viagra, neither of which are covered under the Health Plan.  , ,Patient reports that he was in a scooter accident one week ago, fell off his scooter, hit his head.  Was not wearing a helmet.  Reports that he did not go to the emergency room and had a headache for several days after this incident.  Reports that an ambulance arrived at the scene and he was told he had a scalp laceration and to go into the emergency room.  Patient did not comply.  Reports that the headache has resolved.  Denies any dizziness, nausea, vomiting, or other neurological abnormalities., ,PHYSICAL EXAMINATION: , WD, WN.  Slender, 34-year-old white male.  VITAL SIGNS:  Blood sugar 145, blood pressure 120/88, heart rate 104, respirations 16.  Microalbumin 100. SKIN:  There appears to be 2 skin lacerations on the left parietal region of the scalp, each approximately 1 inch long.  No signs of infection.  Wound is closed with new granulation tissue.  Appears to be healing well.  HEENT:  Normocephalic.  PERRLA.  EOMI.  TMs pearly gray with landmarks present.  Nares patent.  Throat with no redness or swelling.  Nontender sinuses.  NECK:  Supple.  Full ROM.  No LAD. CARDIAC:",
+                    "last_modified": "2020-03-29 14:43:25.547742+00:00",
+                    "annotations": [
+                        {
+                            "id": 45738,
+                            "user": "wish",
+                            "cui": "C0011882",
+                            "value": "diabetic neuropathy",
+                            "start": 118,
+                            "end": 137,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:45.929726+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45739,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 28,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:35.850631+00:00",
+                            "manually_created": false,
+                            "acc": 0.5820445154937393,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45740,
+                            "user": "wish",
+                            "cui": "C0020615",
+                            "value": "hypoglycemia",
+                            "start": 563,
+                            "end": 575,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:47.756229+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45741,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug use",
+                            "start": 1263,
+                            "end": 1271,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:00.358583+00:00",
+                            "manually_created": false,
+                            "acc": 0.5321961264070647,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45742,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "redness",
+                            "start": 2592,
+                            "end": 2599,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:02.834249+00:00",
+                            "manually_created": false,
+                            "acc": 0.47738844639500944,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45743,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type 1",
+                            "start": 47,
+                            "end": 53,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:19:38.161038+00:00",
+                            "manually_created": false,
+                            "acc": 0.37124041351925124,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3240,
+                    "name": "1557",
+                    "text": "PRESENT ILLNESS: , The patient is a very pleasant 69-year-old Caucasian male whom we are asked to see primarily because of a family history of colon cancer, but the patient also has rectal bleeding on a weekly basis and also heartburn once every 1 or 2 weeks.  The patient states that he had his first colonoscopy 6 years ago and it was negative.  His mother was diagnosed with colon cancer probably in her 50s, but she died of cancer of the esophagus at age 86.  The patient does have hemorrhoidal bleed about once a week.  Otherwise, he denies any change in bowel habits, abdominal pain, or weight loss.  He gets heartburn mainly with certain food such as raw onions and he has had it for years.  It will typically occur every couple of weeks.  He has had no dysphagia.  He has never had an upper endoscopy.,MEDICAL HISTORY: , Remarkable for hypertension, adult-onset diabetes mellitus, hyperlipidemia, and restless legs syndrome.,SURGICAL HISTORY: , Appendectomy as a child and cholecystectomy in 2003.,MEDICATIONS:  ,His medications are lisinopril 40 mg daily, hydrochlorothiazide 25 mg daily, metformin 1000 mg twice a day, Januvia 100 mg daily, clonazepam 10 mg at bedtime for restless legs syndrome, Crestor 10 mg nightly, and Flomax 0.4 mg daily.,ALLERGIES: , No known drug allergies.,SOCIAL HISTORY: , The patient is retired.  He is married.  He had 4 children.  He quite smoking 25 years ago after a 35-year history of smoking.  He does not drink alcohol.,FAMILY HISTORY: , Mother had colon cancer in her 50s, esophageal cancer in her 80s.  Her mother smoked and drank.  Father got a mesothelioma at age 65.  There is a brother of 65 with hypertension.,REVIEW OF SYSTEMS: , He has had prostatitis with benign prostatic hypertrophy.  He has some increased urinary frequency from a history of prostatitis.  He has the heartburn, which is diet dependent and the frequent rectal bleeding.  He also has restless legs syndrome at night.  No cardio or pulmonary complaints.  No weight loss.,PHYSICAL EXAMINATION: , Reveals a well-developed, well-nourished man in no acute distress.  BP 112/70.  Pulse 80 and regular.  Respirations non-labored.  Height 5 feet 7-1/2 inches.  Weight 209 pounds.  HEENT exam:  Sclerae are anicteric.  Pupils equal, conjunctivae clear.  No gross oropharyngeal lesions.  Neck is supple without lymphadenopathy, thyromegaly, or JVD.  Lungs are clear to percussion and auscultation.  Heart sounds are regular without murmur, gallop, or rub.  The abdomen is soft and nontender.  There are no masses.  There is no hepatosplenomegaly.  The bowel sounds are normal.  Rectal examination:  Deferred.  Extremities have no clubbing, cyanosis or edema.  Skin is warm and dry.  The patient is alert and oriented with a pleasant affect and no gross motor deficits.,IMPRESSION:,1.  Family history of colon cancer.,2.  Rectal bleeding.,3.  Heartburn and a family history of esophageal cancer.,PLAN:,  I agree with the indications for repeat colonoscopy, which should be done at least every 5 years.  Also, discussed IRC to treat bleeding and internal hemorrhoids if he is deemed to be an appropriate candidate at the time of his colonoscopy and the patient was agreeable.  I am also a little concerned about his family history of esophageal cancer and his personal history of heartburn and suggested that we check him once for Barrett's esophagus.  If he does not have it now then it should not be a significant risk in the future.  The indications and benefits of EGD, colonoscopy, and IRC were discussed.  The risks including sedation, bleeding, infection, and perforation were discussed.  The importance of a good bowel prep so as to minimize missing any lesions was discussed.  His questions were answered and informed consent obtained.  It was a pleasure to care for this nice patient.",
+                    "last_modified": "2020-03-29 14:43:25.558593+00:00",
+                    "annotations": [
+                        {
+                            "id": 45774,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 870,
+                            "end": 887,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:24.432973+00:00",
+                            "manually_created": false,
+                            "acc": 0.5869456264251296,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45775,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2325,
+                            "end": 2340,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:43.435652+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45776,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 889,
+                            "end": 903,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:25.282421+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45777,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 844,
+                            "end": 856,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:23.343756+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45778,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1649,
+                            "end": 1661,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:26.787636+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45779,
+                            "user": "wish",
+                            "cui": "C0033581",
+                            "value": "prostatitis",
+                            "start": 1695,
+                            "end": 1706,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:31.099140+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45780,
+                            "user": "wish",
+                            "cui": "C0033581",
+                            "value": "prostatitis",
+                            "start": 1801,
+                            "end": 1812,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:33.994484+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45781,
+                            "user": "wish",
+                            "cui": "C0011168",
+                            "value": "dysphagia",
+                            "start": 761,
+                            "end": 770,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:20.626741+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45782,
+                            "user": "wish",
+                            "cui": "C0039082",
+                            "value": "syndrome",
+                            "start": 923,
+                            "end": 931,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:25.981620+00:00",
+                            "manually_created": false,
+                            "acc": 0.3717077955474978,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                        {
+                            "id": 45783,
+                            "user": "wish",
+                            "cui": "C0039082",
+                            "value": "syndrome",
+                            "start": 1922,
+                            "end": 1930,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:37.130482+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45784,
+                            "user": "wish",
+                            "cui": "C0009241",
+                            "value": "deficits",
+                            "start": 2773,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:20:46.237451+00:00",
+                            "manually_created": false,
+                            "acc": 0.35143796050562426,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45785,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2292,
+                            "end": 2299,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                            "last_modified": "2020-04-01 22:20:40.180699+00:00",
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+                            ]
+                        },
+                        {
+                            "id": 45786,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
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+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3241,
+                    "name": "496",
+                    "text": "REASON FOR CONSULTATION: , Lethargy.,HISTORY OF PRESENT ILLNESS:,  The patient is a 62-year-old white female with a past medical history of left frontal glioblastoma with subsequent craniotomy infection for PE, DVT, hyperlipidemia, and hypertension who is according to the patient's daughter expressing signs of depression.  Symptoms began on February 5, 2007, upon receiving the unexpected news, the patient would need three to four more days of chemotherapy and radiation therapy for her glioblastoma, described as a sudden onset of symptoms including hypersomnia (18 to 20 hours per day), drastic decrease in energy level, anhedonia, feelings of hopelessness and helplessness, psychomotor retardation, and past history of suicidal ideations.  The patient's appetite is unknown since she had been fed by NG tube after being diagnosed with neuromuscular oropharyngeal dysphagia.  Prior to receiving the news for needing more cancer therapy, the patient was described as being \"fine,\" participating in physical therapy and talking regularly as she was looking forward to leaving the hospital.  Now, the patient has become angry, socially withdrawn, not wanting to see anyone including her own grandchildren, and not participating in physical therapy.  Has been on a daily dose of Lexapro since January 08, 2007, was increased from 10 mg to 20 mg on January 24, 2007, which is her current dose.  Has been on Provigil 100 mg b.i.d. since February 06, 2007, but has not noticed an impact.  Had been on Zyprexa 2.5 mg p.o. q.p.m. from December 20, 2006, to February 01, 2007, but has been discontinued.  Currently, the patient has not displayed any manic symptoms, auditory or visual hallucinations, or symptoms of anxiety.  Also, denies any homicidal ideations.,PAST PSYCHIATRIC HISTORY:,  Was prescribed Prozac for depression, felt during husband's successful battle with prostate cancer.  Never been diagnosed with psychiatric illness.  Displayed some psychotic symptoms, status post craniotomy while in ICU, treated with Zyprexa and Xanax during hospitalization in 2006.,PAST MEDICAL HISTORY:,  Craniotomy November 2006 with subsequent CSF infection of enterobacter, status post glioblastoma multiforme, PE, DVT, hypertension, SIADH, and IVC filter.  No history of thyroid problems, seizures, strokes, or traumatic head injuries.,HOME MEDICATIONS:,  Norvasc 5 mg daily, TriCor 145 mg daily, aspirin one tablet daily, Tylenol, and glucosamine chondroitin sulfate.,CURRENT MEDICATIONS:,  Norvasc 10 mg p.o. daily, Decadron injection 6 mg IV q.12h., Colace 100 mg liquid b.i.d., Cardura 2 mg p.o. daily, Lexapro 20 mg p.o. daily, Lopressor 50 mg p.o. q.12h., Flagyl 500 mg via PEG tube q.8h., modafinil 100 mg p.o. b.i.d., Lovenox 60 mg subcu q.12h., insulin sliding scale, Tylenol suppositories 650 mg rectal q.4h. p.r.n., and Ambien 5 mg p.o. q.h.s. p.r.n.,ALLERGIES:,  PHENYTOIN (STEVENS-JOHNSON SYNDROME), CODEINE, NOVOCAIN, UNKNOWN ALLERGY.,FAMILY MEDICAL HISTORY:,  Father had lung cancer, was smoker for 40 years.  Father's aunt have heart disease.,SOCIAL AND DEVELOPMENTAL HISTORY:,  Currently lives with husband of 40 years in League City, has a Masters in Education, is a retired reading specialist which she did it for 33 years.  Has one younger brother, one daughter.  Denies use of tobacco, alcohol and illicit drugs.  The child as per daughter was picked on and has a strained relationship with her mother, but they still are communicating.,MENTAL STATUS EXAMINATION:,  The patient is a 62-year-old white female, lying in hospital bed, with gown on, eyes closed, short shaven hair, and golf ball-sized indentation in the anterior fontanelle from craniotomy.  Psychomotor retardation, poor eye contact, speech low volume, slow rate, poor flexion, essentially unresponsive, and somnolent during interview.  Poor concentration, mood unknown (the patient did not respond to questions), affect flat, thought process logical and goal directed, thought content unable to assess from the patient but the patient's daughter denied delusions and homicidal ideations.  Positive for passive suicidal ideations and perceptions.  No auditory or visual hallucinations.  Sensorium stuporous, did not answer orientation questions.  Memory information, intelligence, judgment, and insight unknown.,Mini-Mental status examination unable to be performed.,ASSESSMENT:,  A 62-year-old white female status post craniotomy for glioblastoma multiforme with subsequent CNS infection and currently has been displaying symptoms of depression for the past seven days and hence was told she needed more chemotherapy and radiation therapy.,Axis I:  Depression, NOS.  Rule out depression secondary to general medical condition.,Axis II:  Deferred.,Axis III:  Craniotomy with subsequent CSF infection, PE, DVT, and hypertension.,Axis IV:  Hospitalization.,Axis V:  11.,PLAN:,  Continue Lexapro 20 mg p.o. daily.  Discontinue Provigil, begin Ritalin 5 mg p.o. q.a.m. and q. noon.,Thank you for the consultation.",
+                    "last_modified": "2020-03-29 14:43:25.559149+00:00",
+                    "annotations": [
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+                            "value": "psychotic",
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45808,
+                            "user": "wish",
+                            "cui": "C0038454",
+                            "value": "strokes",
+                            "start": 2293,
+                            "end": 2300,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:07.591251+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45809,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "general",
+                            "start": 4680,
+                            "end": 4687,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:44.948903+00:00",
+                            "manually_created": false,
+                            "acc": 0.32203519521482893,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45810,
+                            "user": "wish",
+                            "cui": "C1407863",
+                            "value": "battle",
+                            "start": 1858,
+                            "end": 1864,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:21:53.204694+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45811,
+                            "user": "wish",
+                            "cui": "C4061796",
+                            "value": "MENTAL",
+                            "start": 3452,
+                            "end": 3458,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:24.488864+00:00",
+                            "manually_created": false,
+                            "acc": 0.46819696691659085,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45812,
+                            "user": "wish",
+                            "cui": "C4061796",
+                            "value": "Mental",
+                            "start": 4296,
+                            "end": 4302,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:22:33.994708+00:00",
+                            "manually_created": false,
+                            "acc": 0.29115748544020903,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45813,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 211,
+                            "end": 214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:21:12.809015+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45814,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 2208,
+                            "end": 2211,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:03.332114+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45815,
+                            "user": "wish",
+                            "cui": "C0149871",
+                            "value": "DVT",
+                            "start": 4784,
+                            "end": 4787,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:49.813977+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45816,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 207,
+                            "end": 209,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:21:08.607010+00:00",
+                            "manually_created": false,
+                            "acc": 0.36654640918345577,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45817,
+                            "user": "wish",
+                            "cui": "C0018023",
+                            "value": "NG",
+                            "start": 806,
+                            "end": 808,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:21:33.593046+00:00",
+                            "manually_created": false,
+                            "acc": 0.2794287122979977,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45818,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 2204,
+                            "end": 2206,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:00.544222+00:00",
+                            "manually_created": false,
+                            "acc": 0.4018783339547625,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45819,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "PE",
+                            "start": 4780,
+                            "end": 4782,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:22:49.078857+00:00",
+                            "manually_created": false,
+                            "acc": 0.30016196175472076,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3242,
+                    "name": "1070",
+                    "text": "Chief Complaint:, Abdominal pain, nausea and vomiting.,History of Present Illness:, A 50-year-old Asian female comes to The Methodist Hospital on January 2, 2001, complaining of a 3-day history of abdominal pain. The pain is described as crampy in the central part of her abdomen, and is associated with nausea and vomiting during the previous 24 hours. The patient denied passing any stool or gas per rectum for the previous 24 hours. She had been admitted recently to the hospital from December 19 to December 23, 2000, with a three-week history of fevers to 101.8, diaphoresis, anorexia, malaise and skin \"lumps\". She described a total of three \"lumps\". The first one started as a pin-sized lesion that grew up and then disappeared, the other two didn't resolve. They were described as \"erythematous nodular lesions on the extensor surface of the left arm.\" A punch biopsy was obtained from these skin lesions, showing deep dermis and subcutaneous adipose tissue that contained \"multiple granulomas composed of histiocytes and multinucleated giant cells without caseating necrosis\". However, one granuloma in the deep dermis, showed a hint of central necrosis. Special stains for acid - fast bacilli and fungi were reported as negative. No atypia or malignancy was noted. A CT scan of the chest was obtained on December 19, 2000 and showed numerous masses with spiculated borders bilaterally, predominately in the upper lobes and superior segments of the lower lobes. No cavitary lesions, mediastinal masses or definite hilar adenopathy were reported. The patient underwent bronchoscopy and transbronchial biopsy which showed fragments of bronchial mucosa and wall with underlying lung parenchyma. Minimal to mild interstitial lymphocytes with a few microfoci of neutrophils were seen. They were also able to appreciate intra-alveolar fibrinous exudates. One of the blood cultures drawn on December 19, 2000 grew Streptococcus mitis.,The patient was discharged on ethambutol 1200 mg po qd, clarithromycin 500 mg po bid, ampicillin 500 mg po q 6h and fluconazole 200 mg po qd.,Past Medical History:,1. Post-streptococcal glomerulonephritis at age 10.,2. End stage renal disease diagnosed in 1994, on peritoneal dialysis until 1996.,3. Cadaveric transplant in October 1996,4. Steroid induced diabetes mellitus,5. Hypertension,Past Surgical History:,1. Total abdominal hysterectomy in January 1996,2. Cesarean section X2 in 1996 and 1997,3. Appendectomy in 1971,4. Insertion of peritoneal dialysis catheter in 1994,5. Cadaveric transplant in October 1996,Social History:,The patient denies a history of smoking, drinking or intravenous drug use. She came to the United States in 1973. She works as a nurse in a newborn nursery. Her hobby is gardening. She traveled to Las Vegas on May 2000 and stayed for 6 months. She denied ill contacts or pets.,Allergies:, Ciprofloxacin and Enteric coated aspirin,Medications:, prednisone 20 mg po qd, enalapril 2.5 mg po qd, clonidine patch TTS 3 1/week, Prograf 5 mg po bid, ranitidine 150 mg po bid, furosemide 40 mg po bid, atorvastatin 10 mg po qd, multivitamins 1 tab po qd, estrogen patch, fluconazole 200 mg po qd, metformin 500 mg po bid, glyburide 10 mg po qd, clarithromycin 500 mg po bid, ethambutol 1200 mg po qd, ampicillin 500 mg po q 6h.,Family History:, She described a family history of hypertension. Her mother died after a myocardial infarction at age 59. Her father was diagnosed with congestive heart failure and had a pacemaker placed.,Review of systems:, Non-contributory. The patient denied fever, chills, ulcers, liver disease or history of gallstones.,Vaccines: The patient was vaccinated with BCG before starting elementary school in the Philippines.,Physical Examination:, At the time of the examination the patient was alert and oriented times three and in no acute distress. She was well nourished.,BP 106/60 lying down; HR 86; RR 12; T 96.1\u00b0 F; Hgt. =5' 2\"; Wgt. =121 lbs.,SKIN: There was no rash or skin lesions.,HEENT: She had no oral lesions and moist mucous membranes. No icterus was noted.,NECK: Her neck was supple without lymphadenopathy or thyromegaly.,LUNGS: Crackles at the right lower base with normal respiratory excursion and no dullness to percussion.,HEART: IV/VI crescendo - decrescendo systolic murmur was heard at the second intercostal space with radiation to the neck.,ABDOMEN: The abdomen was distended. Bowel sounds were normal. No hepatosplenomegaly, tenderness or rebound tenderness could be detected during the examination.,EXTREMITIES: No cyanosis, clubbing or edema was noted.,RECTAL: Normal rectal exam. Guaiac negative.,NEUROLOGIC: Normal and non-focal.,Hospital Course:,  The patient was admitted and a nasogastric tube was placed. IV fluids were started. A KUB was obtained showing an abnormal bowel gas pattern. Multiple loops of distended bowel were noted in the mid abdomen. Air and feces were noted within the colon in the right side. An Abdominal CT scan was obtained. There was a small amount of perihepatic fluid noted. The liver and spleen were normal. The kidneys were atrophic. The gallbladder was moderately distended. There was marked dilatation of the small bowel proximally and distally. There was gas and contrast material in the colon. A diagnostic procedure was performed.",
+                    "last_modified": "2020-03-29 14:43:25.559717+00:00",
+                    "annotations": [
+                        {
+                            "id": 45820,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 3443,
+                            "end": 3467,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:40.242615+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45821,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "End stage renal disease",
+                            "start": 2156,
+                            "end": 2179,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:20.081601+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45822,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 3380,
+                            "end": 3401,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:37.864862+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45823,
+                            "user": "wish",
+                            "cui": "C0017658",
+                            "value": "glomerulonephritis",
+                            "start": 2123,
+                            "end": 2141,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:16.487983+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45824,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes mellitus",
+                            "start": 2293,
+                            "end": 2310,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:21.652082+00:00",
+                            "manually_created": false,
+                            "acc": 0.44149476293652234,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45825,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 4098,
+                            "end": 4113,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:55.206439+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45826,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver disease",
+                            "start": 3576,
+                            "end": 3589,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:48.176838+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45827,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 900,
+                            "end": 912,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:09.045612+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45828,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 2314,
+                            "end": 2326,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:24.467109+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45829,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 3342,
+                            "end": 3354,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:31.526228+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45830,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "skin lesions",
+                            "start": 3969,
+                            "end": 3981,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:50.133408+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45831,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythematous",
+                            "start": 790,
+                            "end": 802,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:02.779010+00:00",
+                            "manually_created": false,
+                            "acc": 0.47943951972754273,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45832,
+                            "user": "wish",
+                            "cui": "C0003123",
+                            "value": "anorexia",
+                            "start": 581,
+                            "end": 589,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:00.433787+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45833,
+                            "user": "wish",
+                            "cui": "C0242510",
+                            "value": "drug use",
+                            "start": 2636,
+                            "end": 2644,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:27.598664+00:00",
+                            "manually_created": false,
+                            "acc": 0.5577006518635477,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45834,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 4006,
+                            "end": 4013,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:52.851012+00:00",
+                            "manually_created": false,
+                            "acc": 0.522310434958107,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45835,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 3568,
+                            "end": 3574,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:23:44.192785+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45836,
+                            "user": "wish",
+                            "cui": "C0004930",
+                            "value": "punch",
+                            "start": 863,
+                            "end": 868,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:07.897484+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45837,
+                            "user": "wish",
+                            "cui": "C0017547",
+                            "value": "giant",
+                            "start": 1045,
+                            "end": 1050,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:15.081906+00:00",
+                            "manually_created": false,
+                            "acc": 0.3583975177658868,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45838,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "HEART",
+                            "start": 4235,
+                            "end": 4240,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:23:59.866647+00:00",
+                            "manually_created": false,
+                            "acc": 0.2272820937478998,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3243,
+                    "name": "611",
+                    "text": "CHIEF COMPLAINT: , Penile discharge, infected-looking glans.,HISTORY OF PRESENT ILLNESS: , The patient is a 67-year-old African-American male, who was recently discharged from the hospital on July 21, 2008 after being admitted for altered mental status and before that after undergoing right above knee amputation for wet gangrene.  The patient was transferred to Nursing Home and presents today from the nursing home with complaints of bleeding from the right AKA stump and penile discharge.  As per the patient during his hospitalizations over here, he had indwelling Foley catheter for a few days and when he was discharged at the nursing home he was discharged without the catheter.  However, the patient was brought back to the ED today when he suffered fall yesterday and started bleeding from his stump.  While placing the catheter in the ED on retraction of foreskin purulent discharge was seen from the penis and the glans appeared infected, so urology consult was placed.,REVIEW OF SYSTEMS: , Negative except as in the HPI.,PAST MEDICAL HISTORY: , Significant for end-stage renal disease on dialysis, hypertension, peripheral vascular disease, coronary artery disease, congestive heart failure, diabetes, and hyperlipidemia.,PAST SURGICAL HISTORY:  ,Right AKA,MEDICATIONS:,  Novolin, Afrin, Nephro-Vite, Neurontin, lisinopril, furosemide, Tums, labetolol, Plavix, nitroglycerin, Aricept, omeprazole, oxycodone, Norvasc, Renagel, and morphine.,ALLERGIES: , PENICILLIN and ADHESIVE TAPE.,FAMILY HISTORY: , Significant for hypertension, hyperlipidemia, diabetes, chronic renal insufficiency, and myocardial infarction.,SOCIAL HISTORY: , The patient lives alone.  He is unemployed, disabled.  He has history of tobacco use in the past.  He denies alcohol or drug abuse.,PHYSICAL EXAMINATION:,GENERAL:  A well-appearing African-American male lying comfortably in bed, in acute distress.,NECK:  Supple.,LUNGS:  Clear to auscultation bilaterally.,CARDIOVASCULAR:  S1 and S2, normal.,ABDOMEN:  Soft, nondistended, and nontender.,GENITOURINARY:  Penis is not circumcised.  Currently, indwelling Foley catheter in place.  On retraction of the foreskin, pale-looking glans tip with areas of yellow-white tissue.  The proximal glans appeared pink.  The patient currently has indwelling Foley catheter and glans slightly tender to touch.  However, no purulent discharge was seen on compression of the glans.  Otherwise on palpation, no other deformity noticed.  Bilateral testes descended.  No palpable abnormality.  No evidence of infection in his perineal area.,EXTREMITIES:  Right AKA.,NEUROLOGIC:  Awake, alert, and oriented.  No sensory or motor deficit.,LABORATORY DATA: , I independently reviewed the lab work done on the patient.  The patient had a UA done in the ED which showed few bacteria, white blood cells 6 to 12, and a few epithelial cells which were negative.  His basic metabolic panel with creatinine of 7.2 and potassium of 5, otherwise normal.  CBC with a white blood cell count of 11.5, hemoglobin of 9.5, and INR of 1.13.,IMPRESSION: , A 67-year-old male with multiple comorbidities with penile discharge and pale-appearing glans.  It seems that the patient has had multiple catheterizations recently and has history of peripheral vascular disease.  I think it is due to chronic ischemic changes.,RECOMMENDATIONS: , Our recommendation would be:,1.  To remove the Foley catheter.,2.  Local hygiene.,3.  Local application of bacitracin ointment.,4.  Antibiotic for urinary tract infection.,5.  Follow up as needed.  Of note, it was explained to the patient that the appearance of this glans may improve or may get worsened but at this point, there is no indication to operate on him.  If increased purulent discharge, the patient was asked to call us sooner, otherwise follow up as scheduled.",
+                    "last_modified": "2020-03-29 14:43:25.560286+00:00",
+                    "annotations": [
+                        {
+                            "id": 45839,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 1125,
+                            "end": 1152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:20.421354+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45840,
+                            "user": "wish",
+                            "cui": "C0403447",
+                            "value": "chronic renal insufficiency",
+                            "start": 1570,
+                            "end": 1597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:26.636492+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45841,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 3240,
+                            "end": 3267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:38.444892+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45842,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 1179,
+                            "end": 1203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:21.977386+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45843,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "end-stage renal disease",
+                            "start": 1074,
+                            "end": 1097,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:18.476337+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45844,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3483,
+                            "end": 3506,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:49.609452+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45845,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1154,
+                            "end": 1177,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:21.269275+00:00",
+                            "manually_created": false,
+                            "acc": 0.5117776607435819,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45846,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 1603,
+                            "end": 1624,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:27.502380+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45847,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1219,
+                            "end": 1233,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:23.423293+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45848,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1544,
+                            "end": 1558,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:25.425785+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45849,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1111,
+                            "end": 1123,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:19.541185+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45850,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1530,
+                            "end": 1542,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:24.393425+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45851,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 1764,
+                            "end": 1774,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:28.220310+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45852,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infection",
+                            "start": 2529,
+                            "end": 2538,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:31.011807+00:00",
+                            "manually_created": false,
+                            "acc": 0.4940431088066718,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45853,
+                            "user": "wish",
+                            "cui": "C2363741",
+                            "value": "infected",
+                            "start": 37,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:12.338238+00:00",
+                            "manually_created": false,
+                            "acc": 0.30566485001790056,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45854,
+                            "user": "wish",
+                            "cui": "C0683278",
+                            "value": "suffered",
+                            "start": 750,
+                            "end": 758,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:24:17.362790+00:00",
+                            "manually_created": false,
+                            "acc": 0.3883542914371241,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45855,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1205,
+                            "end": 1213,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:22.700121+00:00",
+                            "manually_created": false,
+                            "acc": 0.5401535154235131,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45856,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1560,
+                            "end": 1568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:24:26.107056+00:00",
+                            "manually_created": false,
+                            "acc": 0.5895813513203143,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45857,
+                            "user": "wish",
+                            "cui": "C0008679",
+                            "value": "chronic",
+                            "start": 3291,
+                            "end": 3298,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:24:48.213415+00:00",
+                            "manually_created": false,
+                            "acc": 0.48231332453038595,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3259,
+                    "name": "688",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  The patient is a 63-year-old white male who was admitted to the hospital with CHF and lymphedema.  He also has a history of obesity, hypertension, sleep apnea, chronic low back pain, cataracts, and past history of CA of the lung.  This consultation was made for better control of his blood sugars.  On questioning, the patient says that he does not have diabetes.  He says that he has never been told about diabetes except during his last admission at Jefferson Hospital.  Apparently, he was started on glipizide at that time.  His blood sugars since then have been good and he says when he went back to Jefferson three weeks later, he was told that he does not have a sugar problem.  He is not sure.  He is not following any specific diet.  He says \"my doctor wants me to lose 30-40 pounds in weight\" and he would not mind going on a diet.  He has a long history of numbness of his toes.  He denies any visual problems.,PAST MEDICAL HISTORY: , As above that includes CA of the lung, COPD, bilateral cataracts.  He has had chronic back pain.  There is also a history of bilateral hip surgeries, penile implant and removal, umbilical hernia repair, and back pain with two surgeries with details of which are unknown.,SOCIAL HISTORY: , The patient has been a smoker since the age of 10.  So, he was smoking 2-3 packs per day.  Since being started on Chantix, he says he has cut it down to half a pack per day.  He does not abuse alcohol.,MEDICATIONS: ,1.  Glipizide 5 mg p.o. daily.,2.  Theophylline.,3.  Z-Pak.,4.  Chantix.,5.  Januvia 100 mg daily.,6.  K-Lor.,7.  OxyContin.,8.  Flomax.,9.  Lasix.,10.  Advair.,11.  Avapro.,12.  Albuterol sulfate.,13.  Vitamin B tablet.,14.  OxyContin and oxycodone for pain.,FAMILY HISTORY: , Positive for diabetes mellitus in the maternal grandmother.,REVIEW OF SYSTEMS: , As above.  He says he has had numbness of toes for a long time.  He denies any visual problems.  His legs have been swelling up from time to time for a long time.  He also has history of COPD and gets short of breath with minimal activity.  He is also not able to walk due to his weight.  He has had ulcers on his legs, which he gets discharge from.  He has chronic back pain and takes OxyContin.  He denies any constipation, diarrhea, abdominal pain, nausea or vomiting.  There is no chest pain.  He does get short of breath on walking.,PHYSICAL EXAMINATION:,The patient is a well-built, obese, white male in no acute distress.,Vital signs:  Pulse rate of 89 per minute and regular.  Blood pressure of 113/69, temperature is 98.4 degrees Fahrenheit, and respirations are 18.,HEENT:  Head is normocephalic and atraumatic.  Eyes, PERRLA.  EOMs intact.  Fundi were not examined.,Neck:  Supple.  JVP is low.  Trachea central.  Thyroid small in size.  No carotid bruits.,Heart:  Shows normal sinus rhythm with S1 and S2.,Lungs:  Show bilateral wheezes with decreased breath sounds at the bases.,Abdomen:  Soft and obese.  No masses.  Bowel sounds are present.,Extremities:  Show bilateral edema with changes of chronic venostasis.  He does have some open weeping sores.  Pulses could not be palpated due to leg swelling.,IMPRESSION/PLAN:,1.  Diabetes mellitus, type 2, new onset.  At this time, the patient is on Januvia as well as glipizide.  His blood sugar right after eating his supper was 101.  So, I am going to discontinue glipizide, continue on Januvia, and add no-concentrated sweets to the diet.  We will continue to follow his blood sugars closely and make adjustments as needed.,2.  Neuropathy, peripheral, query etiology.  We will check TSH and B12 levels.,3.  Lymphedema.,4.  Recurrent cellulitis.,5.  Obesity, morbid.,6.  Tobacco abuse.  He was encouraged to cut his cigarettes down to 5 cigarettes a day.  He says he feels like smoking after meals.  So, we will let him have it after meals first thing in the morning and last thing at night.,7.  Chronic venostasis.,8.  Lymphedema.  We would check his lipid profile also.,9.  Hypertension.,10.  Backbone pain, status post back surgery.,11.  Status post hernia repair.,12.  Status post penile implant and removal.,13.  Umbilical hernia repair.",
+                    "last_modified": "2020-03-29 14:43:25.568977+00:00",
+                    "annotations": [
+                        {
+                            "id": 45868,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "Diabetes mellitus, type 2",
+                            "start": 3177,
+                            "end": 3202,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:50.483883+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45869,
+                            "user": "wish",
+                            "cui": "C0457949",
+                            "value": "chronic low back pain",
+                            "start": 190,
+                            "end": 211,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:23.463454+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45870,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "diabetes mellitus",
+                            "start": 1771,
+                            "end": 1788,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:43.250137+00:00",
+                            "manually_created": false,
+                            "acc": 0.507759796770088,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45871,
+                            "user": "wish",
+                            "cui": "C0040336",
+                            "value": "Tobacco abuse",
+                            "start": 3672,
+                            "end": 3685,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:00.039617+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45872,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 163,
+                            "end": 175,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:22.200789+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45873,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3977,
+                            "end": 3989,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:02.405244+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45874,
+                            "user": "wish",
+                            "cui": "C0037315",
+                            "value": "sleep apnea",
+                            "start": 177,
+                            "end": 188,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:22.770427+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45875,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "lymphedema",
+                            "start": 116,
+                            "end": 126,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:20.450448+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45876,
+                            "user": "wish",
+                            "cui": "C0442874",
+                            "value": "Neuropathy",
+                            "start": 3530,
+                            "end": 3540,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:52.113151+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45877,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "Lymphedema",
+                            "start": 3609,
+                            "end": 3619,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:57.921399+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45878,
+                            "user": "wish",
+                            "cui": "C0024236",
+                            "value": "Lymphedema",
+                            "start": 3921,
+                            "end": 3931,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:01.244730+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45879,
+                            "user": "wish",
+                            "cui": "C0270922",
+                            "value": "peripheral",
+                            "start": 3542,
+                            "end": 3552,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:26:56.603388+00:00",
+                            "manually_created": false,
+                            "acc": 0.20034677013661278,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45880,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 384,
+                            "end": 392,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:24.129009+00:00",
+                            "manually_created": false,
+                            "acc": 0.6055858234438938,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45881,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "diabetes",
+                            "start": 437,
+                            "end": 445,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:29.365811+00:00",
+                            "manually_created": false,
+                            "acc": 0.6202033469505861,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45882,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obesity",
+                            "start": 154,
+                            "end": 161,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:21.175812+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45883,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "Obesity",
+                            "start": 3651,
+                            "end": 3658,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:58.981064+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45884,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2139,
+                            "end": 2145,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:47.354579+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45885,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "abuse",
+                            "start": 1451,
+                            "end": 1456,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:26:42.165826+00:00",
+                            "manually_created": false,
+                            "acc": 0.44885219751303473,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45886,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obese",
+                            "start": 2428,
+                            "end": 2433,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:48.437168+00:00",
+                            "manually_created": false,
+                            "acc": 0.21882414332755024,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45887,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 1014,
+                            "end": 1018,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:31.921397+00:00",
+                            "manually_created": false,
+                            "acc": 0.2908101132297537,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45888,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2026,
+                            "end": 2030,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:45.260185+00:00",
+                            "manually_created": false,
+                            "acc": 0.33661067727540417,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45889,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "CHF",
+                            "start": 108,
+                            "end": 111,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:26:15.934779+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3260,
+                    "name": "73",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  This 57-year-old black female was seen in my office on Month DD, YYYY for further evaluation and management of hypertension.  Patient has severe backache secondary to disc herniation.  Patient has seen an orthopedic doctor and is scheduled for surgery.  Patient also came to my office for surgical clearance.  Patient had cardiac cath approximately four years ago, which was essentially normal.  Patient is documented to have morbid obesity and obstructive sleep apnea syndrome.  Patient does not use a CPAP mask.  Her exercise tolerance is eight to ten feet for shortness of breath.  Patient also has two-pillow orthopnea.  She has intermittent pedal edema.,PHYSICAL EXAMINATION:  ,VITAL SIGNS:  Blood pressure is 135/70.  Respirations 18 per minute.  Heart rate 70 beats per minute.  Weight 258 pounds.,HEENT:  Head normocephalic.  Eyes, no evidence of anemia or jaundice.  Oral hygiene is good. ,NECK:  Supple.  JVP is flat.  Carotid upstroke is good. ,LUNGS:  Clear. ,CARDIOVASCULAR:  There is no murmur or gallop heard over the precordium. ,ABDOMEN:  Soft.  There is no hepatosplenomegaly. ,EXTREMITIES:  The patient has no pedal edema.  ,MEDICATIONS:  ,1.  BuSpar 50 mg daily.,2.  Diovan 320/12.5 daily.,3.  Lotrel 10/20 daily.,4.  Zetia 10 mg daily.,5.  Ambien 10 mg at bedtime.,6.  Fosamax 70 mg weekly.,DIAGNOSES:,1.  Controlled hypertension.,2.  Morbid obesity.,3.  Osteoarthritis.,4.  Obstructive sleep apnea syndrome.,5.  Normal coronary arteriogram.,6.  Severe backache.,PLAN:,1.  Echocardiogram, stress test.,2  Routine blood tests.,3.  Sleep apnea study.,4.  Patient will be seen again in my office in two weeks.",
+                    "last_modified": "2020-03-29 14:43:25.569498+00:00",
+                    "annotations": [
+                        {
+                            "id": 45890,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea syndrome",
+                            "start": 475,
+                            "end": 507,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:16.011551+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45891,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "Obstructive sleep apnea syndrome",
+                            "start": 1426,
+                            "end": 1458,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:27.551163+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45892,
+                            "user": "wish",
+                            "cui": "C0028756",
+                            "value": "morbid obesity",
+                            "start": 456,
+                            "end": 470,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:13.625351+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45893,
+                            "user": "wish",
+                            "cui": "C0028756",
+                            "value": "Morbid obesity",
+                            "start": 1386,
+                            "end": 1400,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:26.284385+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45894,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "Osteoarthritis",
+                            "start": 1406,
+                            "end": 1420,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:27.016348+00:00",
+                            "manually_created": false,
+                            "acc": 0.41876123881421157,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45895,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 141,
+                            "end": 153,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:10.159147+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45896,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1368,
+                            "end": 1380,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:24.541116+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45897,
+                            "user": "wish",
+                            "cui": "C0037315",
+                            "value": "Sleep apnea",
+                            "start": 1581,
+                            "end": 1592,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:28.270116+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45898,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 885,
+                            "end": 891,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:21.872010+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3261,
+                    "name": "323",
+                    "text": "CHIEF COMPLAINT:,  The patient is here for two-month followup.,HISTORY OF PRESENT ILLNESS:,  The patient is a 55-year-old Caucasian female.  She has hypertension.  She has had no difficulties with chest pain.  She has some shortness of breath only at walking up the stairs.  She has occasional lightheadedness only if she bends over then stands up quickly.  She has had no nausea, vomiting, or diarrhea.  She does have severe osteoarthritis of the left knee and is likely going to undergo total knee replacement with Dr. XYZ in January of this coming year.  The patient is wanting to lose weight before her surgery.  She is concerned about possible coronary disease or stroke risk.  She has not had any symptoms of cardiac disease other than some shortness of breath with exertion, which she states has been fairly stable.  She has had fairly normal lipid panel, last being checked on 11/26/2003.  Cholesterol was 194, triglycerides 118, HDL 41, and LDL 129.  The patient is a nonsmoker.  Her fasting glucose in November 2003 was within normal limits at 94.  Her fasting insulin level was normal.  Repeat nonfasting glucose was 109 on 06/22/2004.  She does not have history of diabetes.  She does not exercise regularly and is not able to because of knee pain.  She also has had difficulties with low back pain.  X-ray of the low back did show a mild compression fracture of L1.  She has had no falls that would contribute to a compression fracture.  She has had a normal DEXA scan on 11/07/2003 that does not really correlate with having a compression fracture of the lumbar spine; however, it is possible that arthritis could contribute to falsely high bone density reading on DEXA scan.  She is wanting to consider treatment for prevention of further compression fractures and possible osteoporosis.,CURRENT MEDICATIONS:,  Hydrochlorothiazide 12.5 mg a day, Prozac 20 mg a day, Vioxx 25 mg a day, vitamin C 250 mg daily, vitamin E three to four tablets daily, calcium with D 1500 mg daily, multivitamin daily, aspirin 81 mg daily, Monopril 40 mg daily, Celexa p.r.n.,ALLERGIES:  ,Bactrim, which causes nausea and vomiting, and adhesive tape.,PAST MEDICAL HISTORY:,1.  Hypertension.,2.  Depression.,3.  Myofascitis of the feet.,4.  Severe osteoarthritis of the knee.,5.  Removal of the melanoma from the right thigh in 1984.,6.  Breast biopsy in January of 1997, which was benign.,7.  History of Holter monitor showing ectopic beat.  Echocardiogram was normal.  These were in 1998.,8.  Compression fracture of L1, unknown cause.  She had had no injury.  Interestingly, DEXA scan was normal 11/07/2003, which is somewhat conflicting.,SOCIAL HISTORY:,  The patient is married.  She is a nonsmoker and nondrinker.,REVIEW OF SYSTEMS:,  As per the HPI.,PHYSICAL EXAMINATION:,General:  This is a well-developed, well-nourished, pleasant Caucasian female, who is overweight.,Vital signs:  Weight:  Refused.  Blood pressure:  148/82, on recheck by myself with a large cuff, it was 125/60.  Pulse:  64.  Respirations:  20.  Temperature:  96.3.,Neck:  Supple.  Carotids are silent.,Chest:  Clear to auscultation.,Cardiovascular:  Revealed a regular rate and rhythm without murmur, S3, or S4.,Extremities:  Revealed no edema.,Neurologic:  Grossly intact.,RADIOLOGY:  EKG revealed normal sinus rhythm, rate 61, borderline first degree AV block, and poor R-wave progression in the anterior leads.,ASSESSMENT:,1.  Hypertension, well controlled.,2.  Family history of cerebrovascular accident.,3.  Compression fracture of L1, mild.,4.  Osteoarthritis of the knee.,5.  Mildly abnormal chest x-ray.,PLAN:,1.  We will get a C-reactive protein cardiac.,2.  We discussed weight loss options.  I would recommend Weight Watchers or possibly having her see a dietician.  She will think about these options.  She is not able to exercise regularly right now because of knee pain.,3.  We would recommend a screening colonoscopy.  She states that we discussed this in the past and she canceled her appointment to have that done.  She will go ahead and make an appointment to see Dr. XYZ for screening colonoscopy.,4.  We will start Fosamax 70 mg once weekly.  She is to take this in the morning on an empty stomach with full glass of water.  She is not to eat, lie down, or take other medications for at least 30 minutes after taking Fosamax.,5.  I would like to see her back in one to two months.  At that time, we can do preoperative evaluation and we will probably send her to a cardiologist because of mildly abnormal EKG for preoperative cardiac testing.  One would also consider preoperative beta-blocker for cardiac protection.",
+                    "last_modified": "2020-03-29 14:43:25.570040+00:00",
+                    "annotations": [
+                        {
+                            "id": 45899,
+                            "user": "wish",
+                            "cui": "C0409959",
+                            "value": "osteoarthritis of the knee",
+                            "start": 2241,
+                            "end": 2267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:28.648653+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45900,
+                            "user": "wish",
+                            "cui": "C0409959",
+                            "value": "Osteoarthritis of the knee",
+                            "start": 3523,
+                            "end": 3549,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:36.296025+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45901,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary disease",
+                            "start": 649,
+                            "end": 665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:38.241561+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45902,
+                            "user": "wish",
+                            "cui": "C0018799",
+                            "value": "cardiac disease",
+                            "start": 715,
+                            "end": 730,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:46.024431+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45903,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "osteoarthritis",
+                            "start": 426,
+                            "end": 440,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:37.040592+00:00",
+                            "manually_created": false,
+                            "acc": 0.5742284350319431,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45904,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 149,
+                            "end": 161,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:35.916231+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45905,
+                            "user": "wish",
+                            "cui": "C0029456",
+                            "value": "osteoporosis",
+                            "start": 1789,
+                            "end": 1801,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:56.105638+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45906,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 2171,
+                            "end": 2183,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:07.859700+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45907,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 3402,
+                            "end": 3414,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:35.289540+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45908,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "Depression",
+                            "start": 2189,
+                            "end": 2199,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:09.079793+00:00",
+                            "manually_created": false,
+                            "acc": 0.6469596512622217,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45909,
+                            "user": "wish",
+                            "cui": "C1561826",
+                            "value": "overweight",
+                            "start": 2858,
+                            "end": 2868,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:30.070531+00:00",
+                            "manually_created": false,
+                            "acc": 0.395681443453883,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45910,
+                            "user": "wish",
+                            "cui": "C0003864",
+                            "value": "arthritis",
+                            "start": 1612,
+                            "end": 1621,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:52.254417+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45911,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 1177,
+                            "end": 1185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:49.391903+00:00",
+                            "manually_created": false,
+                            "acc": 0.647106142491134,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45912,
+                            "user": "wish",
+                            "cui": "C0018801",
+                            "value": "cardiac",
+                            "start": 4590,
+                            "end": 4597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:28:38.696859+00:00",
+                            "manually_created": false,
+                            "acc": 0.37745908225304,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45913,
+                            "user": "wish",
+                            "cui": "C3844825",
+                            "value": "stroke",
+                            "start": 669,
+                            "end": 675,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:27:43.614396+00:00",
+                            "manually_created": false,
+                            "acc": 0.5990868850475312,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45914,
+                            "user": "wish",
+                            "cui": "C0018794",
+                            "value": "block",
+                            "start": 3328,
+                            "end": 3333,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:28:34.020606+00:00",
+                            "manually_created": false,
+                            "acc": 0.35290558192865507,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3262,
+                    "name": "1737",
+                    "text": "CHIEF COMPLAINT:,  Vomiting and nausea.,HPI: , The patient is a 52-year-old female who said she has had 1 week of nausea and vomiting, which is moderate-to-severe.  She states she has it at least once a day.  It can be any time, but can also be postprandial.  She states she will vomit up some dark brown-to-green fluid.  There has been no hematemesis.  She states because of the nausea and vomiting, she has not been able to take much in the way of PO intake over the past week.  She states her appetite is poor.  The patient has lost 40 pounds of weight over the past 16 months.  She states for the past few days, she has been getting severe heartburn.  She used Tums over-the-counter and that did not help.  She denies having any dysphagia or odynophagia.  She is not having any abdominal pain.  She has no diarrhea, rectal bleeding, or melena.  She has had in the past, which was remote.  She did have some small amounts of rectal bleeding on the toilet tissue only if she passed a harder stool.  She has a history of chronic constipation for most of her life but she definitely has a bowel movement every 3 to 4 days and this is unchanged.  The patient states she has never had any endoscopy or barium studies of the GI tract.,The patient is anemic and her hemoglobin is 5.7 and she is thrombocytopenic with the platelet count of 34.  She states she has had these abnormalities since she has been diagnosed with breast cancer.  She states that she has metastatic breast cancer and that is in her rib cage and spine and she is getting hormonal chemotherapy for this and she is currently under the care of an oncologist.  The patient also has acute renal failure at this point.  The patient said she had a PET scan done about a week ago.,PAST MEDICAL HISTORY:,  Metastatic breast cancer to her rib cage and spine, hypothyroidism, anemia, thrombocytopenia, hypertension, Bells palsy, depression, uterine fibroids, hysterectomy, cholecystectomy, breast lumpectomy, and thyroidectomy.,ALLERGIES: , No known drug allergies.,MEDICINES:,  She is on Zofran, Protonix, fentanyl patch, Synthroid, Ativan, and Ambien.,SOCIAL HISTORY:  ,The patient is divorced and is a homemaker.  No smoking or alcohol.,FAMILY HISTORY:,  Negative for any colon cancer or polyps.  Her father died of mesothelioma, mother died of Hodgkin lymphoma.,SYSTEMS REVIEW: , No fevers, chills or sweats.  She has no chest pain, palpitations, coughing or wheezing.  She does get shortness of breath, no hematuria, dysuria, arthralgias, myalgias, rashes, jaundice, bleeding or clotting disorders.  The rest of the system review is negative as per the HPI.,PHYSICAL EXAM: , Temperature 98.4, blood pressure 95/63, heart rate 84, respiratory rate of 18, and weight is 108 kg.  GENERAL APPEARANCE:  The patient was comfortable in bed.  Skin exam is negative for any rashes or jaundice.  LYMPHATICS:  There is no palpable lymphadenopathy of the cervical or the supraclavicular area.  HEENT:  She has some mild ptosis of the right eye.  There is no icterus.  The patient's conjunctivae and sclerae are normal.  Pupils are equal, round, and reactive to light and accommodation.  No lesions of the oral mucosa or mucosa of the pharynx.  NECK:  Supple.  Carotids are 2+.  No thyromegaly, masses or adenopathy.  HEART:  Has regular rhythm.  Normal S1 and S2.  She has a 2/6 systolic ejection murmur.  No rubs or gallops.  Lungs are clear to percussion and auscultation.  Abdomen is obese, it may be mildly distended.  There is no increased tympany.  The patient does have hepatosplenomegaly.  There is no obvious evidence of ascites.  The abdomen is nontender, bowel sounds are present.  The extremities show some swelling and edema of the ankle regions bilaterally.  Legs are in SCDs.  No cyanosis or clubbing.  For the rectal exam, it shows brown stool that is very trace heme positive at most.  For the neuro exam, she is awake, alert, and oriented x3.  Memory intact.  No focal deficits.  Insight and judgment are intact.,X-RAY AND LABORATORY DATA:  ,She came in, white count 9.2, hemoglobin 7.2, hematocrit 22.2, MCV of 87, platelet count is 47,000.  Calcium is 8.1, sodium 134, potassium 5.3, chloride 102, bicarbonate 17, BUN of 69, creatinine of 5.2, albumin 2.2, ALT 28, bilirubin is 2.2, alkaline phosphatase is 359, AST is 96, and lipase is 30.  Today, her hemoglobin is 5.7, TSH is 1.1, platelet count is 34,000, alkaline phosphatase is 303, and bilirubin of 1.7.,IMPRESSION,1.  The patient has one week of nausea and vomiting with decreased p.o. intake as well as dehydration.  This could be on the basis of her renal failure.  She may have a viral gastritis.  The patient does have a lot of gastroesophageal reflux disease symptoms recently.  She could have peptic mucosal inflammation or peptic ulcer disease.,2.  The patient does have hepatosplenomegaly.  There is a possibility she could have liver metastasis from the breast cancer.,3.  She has anemia as well as thrombocytopenia.  The patient states this is chronic.,4.  A 40-pound weight loss.,5.  Metastatic breast cancer.,6.  Increased liver function tests.  Given her bone metastasis, the elevated alkaline phosphatase may be from this as opposed to underlying liver disease.,7.  Chronic constipation.,8.  Acute renal failure.,PLAN:  ,The patient will be on a clear liquid diet.  She will continue on the Zofran.  She will be on IV Protonix.  The patient is going to be transfused packed red blood cells and her hemoglobin and hematocrit will be monitored.  I obtained the result of the abdominal x-rays she had done through the ER.  The patient has a consult pending with the oncologist to see what her PET scan show.  There is a renal consult pending.  I am going to have her get a total abdominal ultrasound to see if there is any evidence of liver metastasis and also to assess her kidneys.  Her laboratory studies will be followed.  Based upon the patient's medical condition and including her laboratory studies including a platelet count, we talked about EGD versus upper GI workup per upper GI symptoms.  I discussed informed consent for EGD.  I discussed the indications, risks, benefits, and alternatives.  The risks reviewed included, but were not limited to an allergic reaction or side effect to medicines, cardiopulmonary complications, bleeding, infection, perforation, and needing to get admitted for antibiotics or blood transfusion or surgery.  The patient voices her understanding of the above.  She wants to think about what she wants to do.  Overall, this is a very ill patient with multiorgan involvement.",
+                    "last_modified": "2020-03-29 14:43:25.570542+00:00",
+                    "annotations": [
+                        {
+                            "id": 45915,
+                            "user": "wish",
+                            "cui": "C0017168",
+                            "value": "gastroesophageal reflux disease",
+                            "start": 4660,
+                            "end": 4691,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:00.605971+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45916,
+                            "user": "wish",
+                            "cui": "C0022660",
+                            "value": "acute renal failure",
+                            "start": 1646,
+                            "end": 1665,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:29:58.723340+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45917,
+                            "user": "wish",
+                            "cui": "C0022660",
+                            "value": "Acute renal failure",
+                            "start": 5234,
+                            "end": 5253,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:19.851708+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45918,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "clotting disorders",
+                            "start": 2541,
+                            "end": 2559,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:30.405360+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45919,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 1841,
+                            "end": 1857,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:08.616081+00:00",
+                            "manually_created": false,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45920,
+                            "user": "wish",
+                            "cui": "C0040034",
+                            "value": "thrombocytopenia",
+                            "start": 4936,
+                            "end": 4952,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:16.490102+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45921,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2882,
+                            "end": 2897,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:36.590262+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45922,
+                            "user": "wish",
+                            "cui": "C0020676",
+                            "value": "hypothyroidism",
+                            "start": 1817,
+                            "end": 1831,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:03.720247+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45923,
+                            "user": "wish",
+                            "cui": "C0035078",
+                            "value": "renal failure",
+                            "start": 4580,
+                            "end": 4593,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:51.950950+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45924,
+                            "user": "wish",
+                            "cui": "C0023895",
+                            "value": "liver disease",
+                            "start": 5189,
+                            "end": 5202,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:17.200992+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45925,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1859,
+                            "end": 1871,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:09.327015+00:00",
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+                            "acc": 1.0,
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+                                    "name": "Status",
+                                    "value": "Confirmed",
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+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45926,
+                            "user": "wish",
+                            "cui": "C0030920",
+                            "value": "peptic ulcer",
+                            "start": 4758,
+                            "end": 4770,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:08.404899+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45927,
+                            "user": "wish",
+                            "cui": "C0011175",
+                            "value": "dehydration",
+                            "start": 4532,
+                            "end": 4543,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:45.749417+00:00",
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+                            "acc": 0.41796213841315516,
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45928,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 1886,
+                            "end": 1896,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:10.062264+00:00",
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+                                    "value": "Confirmed",
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+                            ]
+                        },
+                        {
+                            "id": 45929,
+                            "user": "wish",
+                            "cui": "C0011168",
+                            "value": "dysphagia",
+                            "start": 733,
+                            "end": 742,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:29:56.558987+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
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+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45930,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 2468,
+                            "end": 2477,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:10.651770+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45931,
+                            "user": "wish",
+                            "cui": "C0018889",
+                            "value": "infection",
+                            "start": 6289,
+                            "end": 6298,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:30.093363+00:00",
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+                            "acc": 0.31574393251769717,
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+                                    "value": "Confirmed",
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45932,
+                            "user": "wish",
+                            "cui": "C0022354",
+                            "value": "jaundice",
+                            "start": 2519,
+                            "end": 2527,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:13.462811+00:00",
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+                            "acc": 0.22590957798956124,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 45933,
+                            "user": "wish",
+                            "cui": "C0022354",
+                            "value": "jaundice",
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:32.274369+00:00",
+                            "manually_created": false,
+                            "acc": 0.20021699596706105,
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+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45934,
+                            "user": "wish",
+                            "cui": "C0009241",
+                            "value": "deficits",
+                            "start": 3937,
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+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
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+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45935,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 3140,
+                            "end": 3147,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:41.310996+00:00",
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+                            "acc": 0.6158228132937934,
+                            "meta_anns": [
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+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45936,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 1833,
+                            "end": 1839,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:08.041822+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45937,
+                            "user": "wish",
+                            "cui": "C0033377",
+                            "value": "ptosis",
+                            "start": 2970,
+                            "end": 2976,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:39.510322+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45938,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 4918,
+                            "end": 4924,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:14.820269+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45939,
+                            "user": "wish",
+                            "cui": "C0042769",
+                            "value": "viral",
+                            "start": 4611,
+                            "end": 4616,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:30:55.634769+00:00",
+                            "manually_created": false,
+                            "acc": 0.42153441798519353,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45940,
+                            "user": "wish",
+                            "cui": "C1565489",
+                            "value": "renal",
+                            "start": 5659,
+                            "end": 5664,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:31:29.038057+00:00",
+                            "manually_created": false,
+                            "acc": 0.3914989963780615,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3263,
+                    "name": "641",
+                    "text": "HISTORY OF PRESENT ILLNESS:, The patient is a 71-year-old Caucasian female with a history of diabetes, osteoarthritis, atrial fibrillation, hypertension, asthma, obstructive sleep apnea on CPAP, diabetic foot ulcer, anemia and left lower extremity cellulitis. She was brought in by the EMS service to Erlanger emergency department with pulseless electrical activity. Her husband states that he was at home with his wife, when she presented to him complaining of fever and chills. She became acutely unresponsive. She was noted to have worsening of her breathing. She took several of her MDIs and then was placed on her CPAP. He went to notify EMS and when he returned, she was found to not be breathing. He stated that she was noted to have no breathing in excess of 10 minutes. He states that the EMS system arrived at the home and she was found not breathing. The patient was intubated at the scene and upon arrival to Erlanger Medical Center, she was found to have pupils fixed and dilated. She was seen by me in the emergency department and was on Neo-Synephrine, dopamine with a blood pressure of 97/22 with a rapid heart rate and again, in an unresponsive state.,REVIEW OF SYSTEMS:, Review of systems was not obtainable.,PAST MEDICAL HISTORY:, Diabetes, osteoarthritis, hypertension, asthma, atrial fibrillation, diabetic foot ulcer and anemia.,PAST SURGICAL HISTORY:, Noncontributory to above.,FAMILY HISTORY:, Mother with history of coronary artery disease.,SOCIAL HISTORY:, The patient is married. She uses no ethanol, no tobacco and no illicits. She has a very support family unit.,MEDICATIONS:, Augmentin; Detrol LA; lisinopril.,IMMUNIZATIONS:, Immunizations were up to date for influenza, negative for Pneumovax.,ALLERGIES:, PENICILLIN.,LABORATORY AT PRESENTATION:, White blood cell count 11, hemoglobin 10.5, hematocrit 32.2, platelets 175,000. Sodium 148, potassium 5.2, BUN 30, creatinine 2.2 and glucose 216. PT was 22.4.,RADIOLOGIC DATA:, Chest x-ray revealed a diffuse pulmonary edema.,PHYSICAL EXAMINATION:,VITAL SIGNS: Blood pressure 97/52, pulse of 79, respirations 16, O2 sat 100%.,HEENT: The patient's pupils were again, fixed and dilated and intubated on the monitor.,CHEST: Poor air movement bilateral with bilateral rales.,CARDIOVASCULAR: Regular rate and rhythm.,ABDOMEN: The abdomen was obese, nondistended and nontender.,EXTREMITIES: Left diabetic foot had oozing pus drainage from the foot.,GU: Foley catheter was in place.,IMPRESSION AND PLAN:,1. Acute cardiac arrest with pulseless electrical activity with hypotensive shock and respiratory failure: Will continue ventilator support. Will rule out pulmonary embolus, rule out myocardial infarction. Continue pressors. The patient is currently on dopamine, Neo-Synephrine and Levophed.,2. Acute respiratory distress syndrome: Will continue ventilatory support.,3. Questionable sepsis: Will obtain blood cultures, intravenous vancomycin and Rocephin given.,4. Hypotensive shock: Will continue pressors. Will check random cortisol. Hydrocortisone was added.,Further inpatient management for this patient will be provided by Dr. R. The patient's status was discussed with her daughter and her husband. The husband states that his wife has been very ill in the past with multiple admissions, but he had never seen her as severely ill as with this event. He states that she completely was not breathing at all and he is aware of the severity of her illness and the gravity of her current prognosis. Will obtain the assistance with cardiology with this admission and will continue pressors and supportive therapy. The family will make an assessment and final decision concerning her long-term management after a 24 hour period.",
+                    "last_modified": "2020-03-29 14:43:25.571075+00:00",
+                    "annotations": [
+                        {
+                            "id": 45941,
+                            "user": "wish",
+                            "cui": "C0035222",
+                            "value": "Acute respiratory distress syndrome",
+                            "start": 2770,
+                            "end": 2805,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:24.988879+00:00",
+                            "manually_created": false,
+                            "acc": 0.42217936897240227,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45942,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 162,
+                            "end": 185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:51.755695+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45943,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1441,
+                            "end": 1464,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:04.465676+00:00",
+                            "manually_created": false,
+                            "acc": 0.6070006978420385,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45944,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 2658,
+                            "end": 2679,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:22.662364+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45945,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 119,
+                            "end": 138,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:49.615967+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45946,
+                            "user": "wish",
+                            "cui": "C1456868",
+                            "value": "diabetic foot ulcer",
+                            "start": 195,
+                            "end": 214,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:52.402797+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45947,
+                            "user": "wish",
+                            "cui": "C0004238",
+                            "value": "atrial fibrillation",
+                            "start": 1298,
+                            "end": 1317,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:02.117907+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45948,
+                            "user": "wish",
+                            "cui": "C1456868",
+                            "value": "diabetic foot ulcer",
+                            "start": 1319,
+                            "end": 1338,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:02.846030+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45949,
+                            "user": "wish",
+                            "cui": "C1145670",
+                            "value": "respiratory failure",
+                            "start": 2561,
+                            "end": 2580,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:19.448362+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45950,
+                            "user": "wish",
+                            "cui": "C0034065",
+                            "value": "pulmonary embolus",
+                            "start": 2630,
+                            "end": 2647,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:20.692060+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45951,
+                            "user": "wish",
+                            "cui": "C0018790",
+                            "value": "cardiac arrest",
+                            "start": 2484,
+                            "end": 2498,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:14.816376+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45952,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "osteoarthritis",
+                            "start": 103,
+                            "end": 117,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:49.047711+00:00",
+                            "manually_created": false,
+                            "acc": 0.382354204516037,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45953,
+                            "user": "wish",
+                            "cui": "C0263746",
+                            "value": "osteoarthritis",
+                            "start": 1260,
+                            "end": 1274,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:00.083965+00:00",
+                            "manually_created": false,
+                            "acc": 0.3797734595055929,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45954,
+                            "user": "wish",
+                            "cui": "C0206172",
+                            "value": "diabetic foot",
+                            "start": 2368,
+                            "end": 2381,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:11.742733+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45955,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 140,
+                            "end": 152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:50.312479+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45956,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1276,
+                            "end": 1288,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:00.632163+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45957,
+                            "user": "wish",
+                            "cui": "C0021400",
+                            "value": "influenza",
+                            "start": 1690,
+                            "end": 1699,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:06.631495+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45958,
+                            "user": "wish",
+                            "cui": "C0011860",
+                            "value": "diabetes",
+                            "start": 93,
+                            "end": 101,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:47.980775+00:00",
+                            "manually_created": false,
+                            "acc": 0.6633429762750487,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45959,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "Diabetes",
+                            "start": 1250,
+                            "end": 1258,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:53.783718+00:00",
+                            "manually_created": false,
+                            "acc": 0.5820456035685702,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45960,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 154,
+                            "end": 160,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:51.152069+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45961,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 216,
+                            "end": 222,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:31:53.101699+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45962,
+                            "user": "wish",
+                            "cui": "C0004096",
+                            "value": "asthma",
+                            "start": 1290,
+                            "end": 1296,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:01.234687+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45963,
+                            "user": "wish",
+                            "cui": "C0002871",
+                            "value": "anemia",
+                            "start": 1343,
+                            "end": 1349,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:03.754440+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45964,
+                            "user": "wish",
+                            "cui": "C0243026",
+                            "value": "sepsis",
+                            "start": 2858,
+                            "end": 2864,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:29.240906+00:00",
+                            "manually_created": false,
+                            "acc": 0.2798273073168636,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3264,
+                    "name": "516",
+                    "text": "HISTORY: , A 59-year-old male presents in followup after being evaluated and treated as an in-patient by Dr. X for acute supraglottitis with airway obstruction and parapharyngeal cellulitis and peritonsillar cellulitis, admitted on 05/23/2008, discharged on 05/24/2008.  Please refer to chart for history and physical and review of systems and medical record.,PROCEDURES PERFORMED:  ,Fiberoptic laryngoscopy identifying about 30% positive Muller maneuver.  No supraglottic edema; +2/4 tonsils with small tonsil cyst, mid tonsil, left.,IMPRESSION:  ,1.  Resolving acute supraglottic edema secondary to pharyngitis and tonsillar cellulitis.,2.  Possible obstructive sleep apnea; however, the patient describes no known history of this phenomenon.,3.  Hypercholesterolemia.,4.  History of anxiety.,5.  History of coronary artery disease.,6.  Hypertension.,RECOMMENDATIONS: , Recommend continuing on Augmentin and tapered prednisone as prescribed by Dr. X.  Cultures are still pending and follow up with Dr. X in the next few weeks for re-evaluation.  I did discuss with the patient whether or not a sleep study would be beneficial and the patient denies any history of obstructive sleep apnea and wishes not to pursue this, but we will leave this open for him to talk with Dr. X on his followup, and he will pay more attention on his sleep pattern.",
+                    "last_modified": "2020-03-29 14:43:25.571603+00:00",
+                    "annotations": [
+                        {
+                            "id": 45965,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 652,
+                            "end": 675,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:54.846161+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45966,
+                            "user": "wish",
+                            "cui": "C0520679",
+                            "value": "obstructive sleep apnea",
+                            "start": 1166,
+                            "end": 1189,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:12.067543+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45967,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 810,
+                            "end": 833,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:03.610019+00:00",
+                            "manually_created": false,
+                            "acc": 0.6981489834095193,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45968,
+                            "user": "wish",
+                            "cui": "C0020443",
+                            "value": "Hypercholesterolemia",
+                            "start": 749,
+                            "end": 769,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:57.147741+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45969,
+                            "user": "wish",
+                            "cui": "C0001883",
+                            "value": "airway obstruction",
+                            "start": 141,
+                            "end": 159,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:45.411134+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45970,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "Hypertension",
+                            "start": 839,
+                            "end": 851,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:04.958905+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45971,
+                            "user": "wish",
+                            "cui": "C0031350",
+                            "value": "pharyngitis",
+                            "start": 601,
+                            "end": 612,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:51.915150+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45972,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 511,
+                            "end": 515,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:32:47.498831+00:00",
+                            "manually_created": false,
+                            "acc": 0.43146527834167814,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45973,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 105,
+                            "end": 107,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:32:41.047207+00:00",
+                            "manually_created": false,
+                            "acc": 0.3069208361522175,
+                            "meta_anns": []
+                        },
+                        {
+                            "id": 45974,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 946,
+                            "end": 948,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:33:08.577098+00:00",
+                            "manually_created": false,
+                            "acc": 0.23634198944657459,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45975,
+                            "user": "wish",
+                            "cui": "C0011884",
+                            "value": "Dr",
+                            "start": 1000,
+                            "end": 1002,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:33:11.187011+00:00",
+                            "manually_created": false,
+                            "acc": 0.3515016779739107,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3265,
+                    "name": "96",
+                    "text": "REASON FOR ADMISSION:,  Intraperitoneal chemotherapy.,HISTORY: , A very pleasant 63-year-old hypertensive, nondiabetic, African-American female with a history of peritoneal mesothelioma.  The patient has received prior intravenous chemotherapy.  Due to some increasing renal insufficiency and difficulties with hydration, it was elected to change her to intraperitoneal therapy.  She had her first course with intraperitoneal cisplatin, which was very difficultly tolerated by her.  Therefore, on the last hospitalization for IP chemo, she was switched to Taxol.  The patient since her last visit has done relatively well.  She had no acute problems and has basically only chronic difficulties.  She has had some decrease in her appetite, although her weight has been stable.  She has had no fever, chills, or sweats.  Activity remains good and she has continued difficulty with depression associated with type 1 bipolar disease.  She had a recent CT scan of the chest and abdomen.  The report showed the following findings.  In the chest, there was a small hiatal hernia and a calcification in the region of the mitral valve.  There was one mildly enlarged mediastinal lymph node.  Several areas of ground-glass opacity were noted in the lower lungs, which were subtle and nonspecific.  No pulmonary masses were noted.  In the abdomen, there were no abnormalities of the liver, pancreas, spleen, and left adrenal gland.  On the right adrenal gland, a 17 x 13 mm right adrenal adenoma was noted.  There were some bilateral renal masses present, which were not optimally evaluated due to noncontrast study.  A hyperdense focus in the lower pole of the left kidney was felt to most probably represent a hemorrhagic renal cyst.  It was unchanged from February and measured 9 mm.  There was again minimal left pelvic/iliac _______ with right and left peritoneal catheters noted and were unremarkable.  Mesenteric nodes were seen, which were similar in appearance to the previous study that was felt somewhat more conspicuous due to opacified bowel adjacent to them.  There was a conglomerate omental mass, which had decreased in volume when compared to previous study, now measuring 8.4 x 1.6 cm.  In the pelvis, there was a small amount of ascites in the right pelvis extending from the inferior right paracolic gutter.  No suspicious osseous lesions were noted.,CURRENT MEDICATIONS: , Norco 10 per 325 one to two p.o. q.4h. p.r.n. pain, atenolol 50 mg p.o. b.i.d., Levoxyl 75 mcg p.o. daily, Phenergan 25 mg p.o. q.4-6h. p.r.n. nausea, lorazepam 0.5 mg every 8 hours as needed for anxiety, Ventolin HFA 2 puffs q.6h. p.r.n., Plavix 75 mg p.o. daily, Norvasc 10 mg p.o. daily, Cymbalta 60 mg p.o. daily, and Restoril 30 mg at bedtime as needed for sleep.,ALLERGIES: , THE PATIENT STATES THAT ON OCCASION LORAZEPAM DOSE PRODUCE HALLUCINATIONS, AND SHE HAD DIFFICULTY TOLERATING ATIVAN.,PHYSICAL EXAMINATION,VITAL SIGNS:  The patient's height is 165 cm, weight is 77 kg.  BSA is 1.8 sq m.  The vital signs reveal blood pressure to be 158/75, heart rate 61 per minute with a regular sinus rhythm, temperature of 96.6 degrees, respiratory rate 18 with an SpO2 of 100% on room air.,GENERAL:  She is normally developed; well nourished; very cooperative; oriented to person, place, and time; and in no distress at this time.  She is anicteric.,HEENT:  EOM is full.  Pupils are equal, round, reactive to light and accommodation.  Disc margins are unremarkable as are the ocular fields.  Mouth and pharynx within normal limits.  The TMs are glistening bilaterally.  External auditory canals are unremarkable.,NECK:  Supple, nontender without adenopathy.  Trachea is midline.  There are no bruits nor is there jugular venous distention.,CHEST:  Clear to percussion and auscultation bilaterally.,HEART:  Regular rate and rhythm without murmur, gallop, or rub.,BREASTS:  Unremarkable.,ABDOMEN:  Slightly protuberant.  Bowel tones are present and normal.  She has no palpable mass, and there is no hepatosplenomegaly.,EXTREMITIES:  Within normal limits.,NEUROLOGICAL:  Nonfocal.,DIAGNOSTIC IMPRESSION,1.  Intraperitoneal mesothelioma, partial remission, as noted by CT scan of the abdomen.,2.  Presumed left lower pole kidney hemorrhagic cyst.,3.  History of hypertension.,4.  Type 1 bipolar disease.,PLAN: , The patient will have appropriate laboratory studies done.  A left renal ultrasound is requested to further delineate the possible hemorrhagic cyst in the lower left pole of the left kidney.  Interventional radiology will access for ports in the abdomen.  She will receive chemotherapy intraperitoneally.  The plan will be to use intraperitoneal Taxol.",
+                    "last_modified": "2020-03-29 14:43:25.572115+00:00",
+                    "annotations": [
+                        {
+                            "id": 45976,
+                            "user": "wish",
+                            "cui": "C1565489",
+                            "value": "renal insufficiency",
+                            "start": 269,
+                            "end": 288,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:37.354676+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45977,
+                            "user": "wish",
+                            "cui": "C0018524",
+                            "value": "HALLUCINATIONS",
+                            "start": 2824,
+                            "end": 2838,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:02.552009+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45978,
+                            "user": "wish",
+                            "cui": "C3489393",
+                            "value": "hiatal hernia",
+                            "start": 1058,
+                            "end": 1071,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:53.586051+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45979,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 4243,
+                            "end": 4255,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:25.767848+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45980,
+                            "user": "wish",
+                            "cui": "C0027765",
+                            "value": "NEUROLOGICAL",
+                            "start": 4038,
+                            "end": 4050,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:34:10.466425+00:00",
+                            "manually_created": false,
+                            "acc": 0.3186451615835371,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45981,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 879,
+                            "end": 889,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:39.197716+00:00",
+                            "manually_created": false,
+                            "acc": 0.5936750710427917,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45982,
+                            "user": "wish",
+                            "cui": "C0005586",
+                            "value": "bipolar",
+                            "start": 913,
+                            "end": 920,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:52.379262+00:00",
+                            "manually_created": false,
+                            "acc": 0.440304555148024,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45983,
+                            "user": "wish",
+                            "cui": "C0037284",
+                            "value": "lesions",
+                            "start": 2340,
+                            "end": 2347,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:00.337395+00:00",
+                            "manually_created": false,
+                            "acc": 0.4711664559242475,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45984,
+                            "user": "wish",
+                            "cui": "C0005586",
+                            "value": "bipolar",
+                            "start": 4268,
+                            "end": 4275,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:27.493983+00:00",
+                            "manually_created": false,
+                            "acc": 0.35997115535464863,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45985,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "type 1",
+                            "start": 906,
+                            "end": 912,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:42.521217+00:00",
+                            "manually_created": false,
+                            "acc": 0.5226589019195093,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45986,
+                            "user": "wish",
+                            "cui": "C0011854",
+                            "value": "Type 1",
+                            "start": 4261,
+                            "end": 4267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:26.525615+00:00",
+                            "manually_created": false,
+                            "acc": 0.3689247130958623,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45987,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 1719,
+                            "end": 1723,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:33:57.526267+00:00",
+                            "manually_created": false,
+                            "acc": 0.3789974686347847,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45988,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 4222,
+                            "end": 4226,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:34:11.994893+00:00",
+                            "manually_created": false,
+                            "acc": 0.43844643908592906,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45989,
+                            "user": "wish",
+                            "cui": "C0010709",
+                            "value": "cyst",
+                            "start": 4436,
+                            "end": 4440,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:28.465110+00:00",
+                            "manually_created": false,
+                            "acc": 0.49341893039278806,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3266,
+                    "name": "2124",
+                    "text": "INDICATIONS FOR PROCEDURE:, A 51-year-old, obese, white female with positive family history of coronary disease and history of chest radiation for Hodgkin disease 20 years ago with no other identifiable risk factors who presents with an acute myocardial infarction with elevated enzymes. The chest pain occurred early Tuesday morning. She was treated with Plavix, Lovenox, etc., and transferred for coronary angiography and possible PCI. The plan was discussed with the patient and all questions answered.,PROCEDURE NOTE:, Following sterile prep and drape, the right groin and instillation of 1% Xylocaine anesthesia, the right femoral artery was percutaneously entered with a single wall puncture. A 6-French sheath inserted. Selective left and right coronary injections performed using Judkins coronary catheters with a 6-French pigtail catheter used to obtain left ventricle pressures, and a left ventriculography. The left pullback pressure. The catheters withdrawn. Sheath injection. Hemostasis obtained with a 6-French Angio-Seal device. She tolerated the procedure well.,Left ventricular end-diastolic pressure equals 25 mmHg post A wave. No aortic valve or systolic gradient on pullback.,ANGIOGRAPHIC FINDINGS:,I. Left coronary artery: The left main coronary artery is,normal. The left anterior descending extends to the apex and has only minor luminal irregularities within the midportion of the vessel. Normal diagonal branches. Normal septal perforator branches. The left circumflex is a nondominant vessel with only minor irregularities with normal obtuse marginal branches.,II. Right coronary artery: The proximal right coronary artery has a focal calcification. There is minor plaque with luminal irregularity in the proximal and midportion of the vessel with no narrowing greater than 10 to 20% at most. The right coronary artery is a dominant system which gives off normal posterior,descending and posterior lateral branches. TIMI 3 flow is present.,III. Left ventriculogram: The left ventricle is slightly enlarged with normal contraction of the base, but, with wall motion abnormality involving the anteroapical and inferoapical left ventricle with hypokinesis within the apical portion. Ejection fraction estimated 40%, 1+ mitral regurgitation (echocardiogram ordered).,DISCUSSION:, Recent inferoapical mild myocardial infarction by left ventriculography and cardiac enzymes with elevated left ventricular end-diastolic pressure post A wave, but, only minor residual coronary artery plaque with calcification proximal right coronary artery.,PLAN:, Medical treatment is contemplated, including ACE inhibitor, a beta blocker, aspirin, Plavix, nitrates. An echocardiogram is ordered to exclude apical left ventricular thrombus and to further assess ejection fraction.",
+                    "last_modified": "2020-03-29 14:43:25.572645+00:00",
+                    "annotations": [
+                        {
+                            "id": 45990,
+                            "user": "wish",
+                            "cui": "C0155626",
+                            "value": "acute myocardial infarction",
+                            "start": 237,
+                            "end": 264,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:39.831375+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45991,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 2327,
+                            "end": 2348,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:48.429926+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45992,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary disease",
+                            "start": 95,
+                            "end": 111,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:37.118751+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45993,
+                            "user": "wish",
+                            "cui": "C1299433",
+                            "value": "left main",
+                            "start": 1248,
+                            "end": 1257,
+                            "validated": true,
+                            "correct": false,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": true,
+                            "last_modified": "2020-04-01 22:35:47.265141+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45994,
+                            "user": "wish",
+                            "cui": "C0028754",
+                            "value": "obese",
+                            "start": 43,
+                            "end": 48,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:36.377335+00:00",
+                            "manually_created": false,
+                            "acc": 0.3616767134370854,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3267,
+                    "name": "1377",
+                    "text": "CHIEF COMPLAINT: , Penile discharge, infected-looking glans.,HISTORY OF PRESENT ILLNESS: , The patient is a 67-year-old African-American male, who was recently discharged from the hospital on July 21, 2008 after being admitted for altered mental status and before that after undergoing right above knee amputation for wet gangrene.  The patient was transferred to Nursing Home and presents today from the nursing home with complaints of bleeding from the right AKA stump and penile discharge.  As per the patient during his hospitalizations over here, he had indwelling Foley catheter for a few days and when he was discharged at the nursing home he was discharged without the catheter.  However, the patient was brought back to the ED today when he suffered fall yesterday and started bleeding from his stump.  While placing the catheter in the ED on retraction of foreskin purulent discharge was seen from the penis and the glans appeared infected, so urology consult was placed.,REVIEW OF SYSTEMS: , Negative except as in the HPI.,PAST MEDICAL HISTORY: , Significant for end-stage renal disease on dialysis, hypertension, peripheral vascular disease, coronary artery disease, congestive heart failure, diabetes, and hyperlipidemia.,PAST SURGICAL HISTORY:  ,Right AKA,MEDICATIONS:,  Novolin, Afrin, Nephro-Vite, Neurontin, lisinopril, furosemide, Tums, labetolol, Plavix, nitroglycerin, Aricept, omeprazole, oxycodone, Norvasc, Renagel, and morphine.,ALLERGIES: , PENICILLIN and ADHESIVE TAPE.,FAMILY HISTORY: , Significant for hypertension, hyperlipidemia, diabetes, chronic renal insufficiency, and myocardial infarction.,SOCIAL HISTORY: , The patient lives alone.  He is unemployed, disabled.  He has history of tobacco use in the past.  He denies alcohol or drug abuse.,PHYSICAL EXAMINATION:,GENERAL:  A well-appearing African-American male lying comfortably in bed, in acute distress.,NECK:  Supple.,LUNGS:  Clear to auscultation bilaterally.,CARDIOVASCULAR:  S1 and S2, normal.,ABDOMEN:  Soft, nondistended, and nontender.,GENITOURINARY:  Penis is not circumcised.  Currently, indwelling Foley catheter in place.  On retraction of the foreskin, pale-looking glans tip with areas of yellow-white tissue.  The proximal glans appeared pink.  The patient currently has indwelling Foley catheter and glans slightly tender to touch.  However, no purulent discharge was seen on compression of the glans.  Otherwise on palpation, no other deformity noticed.  Bilateral testes descended.  No palpable abnormality.  No evidence of infection in his perineal area.,EXTREMITIES:  Right AKA.,NEUROLOGIC:  Awake, alert, and oriented.  No sensory or motor deficit.,LABORATORY DATA: , I independently reviewed the lab work done on the patient.  The patient had a UA done in the ED which showed few bacteria, white blood cells 6 to 12, and a few epithelial cells which were negative.  His basic metabolic panel with creatinine of 7.2 and potassium of 5, otherwise normal.  CBC with a white blood cell count of 11.5, hemoglobin of 9.5, and INR of 1.13.,IMPRESSION: , A 67-year-old male with multiple comorbidities with penile discharge and pale-appearing glans.  It seems that the patient has had multiple catheterizations recently and has history of peripheral vascular disease.  I think it is due to chronic ischemic changes.,RECOMMENDATIONS: , Our recommendation would be:,1.  To remove the Foley catheter.,2.  Local hygiene.,3.  Local application of bacitracin ointment.,4.  Antibiotic for urinary tract infection.,5.  Follow up as needed.  Of note, it was explained to the patient that the appearance of this glans may improve or may get worsened but at this point, there is no indication to operate on him.  If increased purulent discharge, the patient was asked to call us sooner, otherwise follow up as scheduled.",
+                    "last_modified": "2020-03-29 14:43:25.573182+00:00",
+                    "annotations": [
+                        {
+                            "id": 45995,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 1125,
+                            "end": 1152,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:03.108268+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45996,
+                            "user": "wish",
+                            "cui": "C0403447",
+                            "value": "chronic renal insufficiency",
+                            "start": 1570,
+                            "end": 1597,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:10.087077+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45997,
+                            "user": "wish",
+                            "cui": "C0085096",
+                            "value": "peripheral vascular disease",
+                            "start": 3240,
+                            "end": 3267,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:19.837594+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45998,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "congestive heart failure",
+                            "start": 1179,
+                            "end": 1203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:04.534734+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 45999,
+                            "user": "wish",
+                            "cui": "C0022661",
+                            "value": "end-stage renal disease",
+                            "start": 1074,
+                            "end": 1097,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:00.206529+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46000,
+                            "user": "wish",
+                            "cui": "C0042029",
+                            "value": "urinary tract infection",
+                            "start": 3483,
+                            "end": 3506,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:27.416096+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46001,
+                            "user": "wish",
+                            "cui": "C0010054",
+                            "value": "coronary artery disease",
+                            "start": 1154,
+                            "end": 1177,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:04.223582+00:00",
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+                            "acc": 0.5659365203923152,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46002,
+                            "user": "wish",
+                            "cui": "C0027051",
+                            "value": "myocardial infarction",
+                            "start": 1603,
+                            "end": 1624,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:10.799588+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46003,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1219,
+                            "end": 1233,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:05.967808+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46004,
+                            "user": "wish",
+                            "cui": "C0020473",
+                            "value": "hyperlipidemia",
+                            "start": 1544,
+                            "end": 1558,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:08.664365+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46005,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1111,
+                            "end": 1123,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:02.260372+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46006,
+                            "user": "wish",
+                            "cui": "C0020538",
+                            "value": "hypertension",
+                            "start": 1530,
+                            "end": 1542,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:06.803119+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46007,
+                            "user": "wish",
+                            "cui": "C0013146",
+                            "value": "drug abuse",
+                            "start": 1764,
+                            "end": 1774,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:11.783820+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46008,
+                            "user": "wish",
+                            "cui": "C0854135",
+                            "value": "infection",
+                            "start": 2529,
+                            "end": 2538,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:14.292897+00:00",
+                            "manually_created": false,
+                            "acc": 0.5380169188171087,
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+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46009,
+                            "user": "wish",
+                            "cui": "C2363741",
+                            "value": "infected",
+                            "start": 37,
+                            "end": 45,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:35:56.544230+00:00",
+                            "manually_created": false,
+                            "acc": 0.37332235850640794,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
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+                                }
+                            ]
+                        },
+                        {
+                            "id": 46010,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1205,
+                            "end": 1213,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:05.234605+00:00",
+                            "manually_created": false,
+                            "acc": 0.6186123081557326,
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+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46011,
+                            "user": "wish",
+                            "cui": "C0011849",
+                            "value": "diabetes",
+                            "start": 1560,
+                            "end": 1568,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:09.394150+00:00",
+                            "manually_created": false,
+                            "acc": 0.6562451322288061,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3268,
+                    "name": "605",
+                    "text": "SUBJECTIVE:,  The patient comes back to see me today.  She is a pleasant 77-year-old Caucasian female who had seen Dr. XYZ with right leg pain.  She has a history of prior laminectomy for spinal stenosis.  She has seen Dr. XYZ with low back pain and lumbar scoliosis post laminectomy syndrome, lumbar spinal stenosis, and clinical right L2 radiculopathy, which is symptomatic.  Dr. XYZ had performed two right L2-L3 transforaminal epidural injections, last one in March 2005.  She was subsequently seen and Dr. XYZ found most of her remaining symptoms are probably coming from her right hip.  An x-ray of the hip showed marked degenerative changes with significant progression of disease compared to 08/04/2004 study.  Dr. XYZ had performed right intraarticular hip injection on 04/07/2005.  She was last seen on 04/15/2005.  At that time, she had the hip injection that helped her briefly with her pain.  She is not sure whether or not she wants to proceed with hip replacement.  We recommend she start using a cane and had continued her on some pain medicines.,The patient comes back to see me today.  She continues to complain of significant pain in her right hip, especially with weightbearing or with movement.  She said she had made an appointment to see an orthopedic surgeon in Newton as it is closer and more convenient for her.  She is taking Ultracet or other the generic it sounds like, up to four times daily.  She states she can take this much more frequently as she still has significant pain symptoms.  She is using a cane to help her ambulate.,PAST MEDICAL HISTORY:,  Essentially unchanged from her visit of 04/15/2005.,PHYSICAL EXAMINATION:,General:  Reveals a pleasant Caucasian female.,Vital Signs:  Height is 5 feet 4 inches.  Weight is 149 pounds.  She is afebrile.,HEENT:  Benign.,Neck:  Shows functional range of movements with a negative Spurling's.,Musculoskeletal:  Examination shows some mild degenerative joint disease of both knees with grade weakness of her right hip flexors and half-grade weakness of her right hip adductors and right quadriceps, as compared to the left.  Straight leg raises are negative bilaterally.  Posterior tibials are palpable bilaterally.,Skin and Lymphatics:  Examination of the skin does not reveal any additional scars, rashes, cafe au lait spots or ulcers.  No significant lymphadenopathy noted.,Spine:  Examination shows lumbar scoliosis with surgical scar with no major tenderness.  Spinal movements are limited but functional.,Neurological:  She is alert and oriented with appropriate mood and affect.  She has normal tone and coordination.  Reflexes are 2+ and symmetrical.  Sensations are intact to pinprick.,FUNCTIONAL EXAMINATION:,  Gait has a normal stance and swing phase with no antalgic component to it.,IMPRESSION:,1.  Degenerative disk disease of the right hip, symptomatic.,2.  Low back syndrome, lumbar spinal stenosis, clinically right L2 radiculopathy, stable.,3.  Low back pain with lumbar scoliosis post laminectomy syndrome, stable.,4.  Facet and sacroiliac joint syndrome on the right, stable.,5.  Post left hip arthroplasty.,6.  Chronic pain syndrome.,RECOMMENDATIONS:,  The patient is symptomatic primarily on her right hip and is planning on seeing an orthopedic surgeon for possible right hip replacement.  In the interim, her Ultracet is not quite taking care of her pain.  I have asked her to discontinue it and we will start her on Tylenol #3, up to four times a day.  I have written a prescription for this for 120 tablets and two refills.  The patient will call for the refills when she needs them.  I will plan further follow up in six months, sooner if needed.  She voiced understanding and is in agreement with this plan.  Physical exam findings, history of present illness and recommendations were performed with and in agreement with Dr. Goel's findings.",
+                    "last_modified": "2020-03-29 14:43:25.573687+00:00",
+                    "annotations": [
+                        {
+                            "id": 46012,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "degenerative joint disease",
+                            "start": 1921,
+                            "end": 1947,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:38.872937+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46013,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 294,
+                            "end": 316,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:35.603467+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46014,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 2873,
+                            "end": 2895,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:52.727770+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46015,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2335,
+                            "end": 2350,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:42.790831+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46016,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 340,
+                            "end": 353,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:36.666512+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46017,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 2917,
+                            "end": 2930,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:05.536636+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46018,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2311,
+                            "end": 2317,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:36:41.156000+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3269,
+                    "name": "485",
+                    "text": "SUBJECTIVE:,  The patient comes back to see me today.  She is a pleasant 73-year-old Caucasian female who had seen Dr. XYZ with low back pain, lumbar degenerative disc disease, lumbar spondylosis, facet and sacroiliac joint syndrome, lumbar spinal stenosis primarily bilateral recess, intermittent lower extremity radiculopathy, DJD of both knees, bilateral pes anserinus bursitis, and chronic pain syndrome.  Dr. XYZ had performed right and left facet and sacroiliac joint injections, subsequent right L3 to S1 medial branch blocks and radiofrequency ablation on the right from L3 to S1.  She was subsequently seen with some mid back pain and she had right T8-T9 and T9-T10 facet injections on 10/28/2004.  She was last seen on 04/08/2005 with recurrent pain in her low back on the right.  Dr. XYZ repeated her radiofrequency ablation on the right side from L3-S1 on 05/04/2005.,The patient comes back to see me today.  She states that the radiofrequency ablation has helped her significantly there, but she still has one spot in her low back that seems to be hurting her on the right, and seems to be pointing to her right sacroiliac joint.  She is also complaining of pain in both knees.  She says that 20 years ago she had a cortisone shot in her knees, which helped her significantly.  She has not had any x-rays for quite some time.  She is taking some Lortab 7.5 mg tablets, up to four daily, which help her with her pain symptoms.  She is also taking Celebrex through Dr. S\u2019 office.,PAST MEDICAL HISTORY:,  Essentially unchanged from my visit of 04/08/2005.,PHYSICAL EXAMINATION:,General:  Reveals a pleasant Caucasian female.,Vital Signs:  Height is 5 feet 5 inches.  Weight is 183 pounds.  She is afebrile.,HEENT:  Benign.,Neck:  Shows functional range of movements with a negative Spurling's.,Musculoskeletal:  Examination shows degenerative joint disease of both knees, with medial and lateral joint line tenderness, with tenderness at both pes anserine bursa.  Straight leg raises are negative bilaterally.  Posterior tibials are palpable bilaterally.,Skin and Lymphatics:  Examination of the skin does not reveal any additional scars, rashes, cafe au lait spots or ulcers.  No significant lymphadenopathy noted.,Spine:  Examination shows decreased lumbar lordosis with tenderness that seems to be in her right sacroiliac joint.  She has no other major tenderness.  Spinal movements are limited but functional.,Neurological:  She is alert and oriented with appropriate mood and affect.  She has normal tone and coordination.  Reflexes are 2+ and symmetrical.  Sensation is intact to pinprick.,FUNCTIONAL EXAMINATION:,  Gait has a normal stance and swing phase with no antalgic component to it.,IMPRESSION:,1.  Low back syndrome with lumbar degenerative disc disease, lumbar spinal stenosis, and facet joint syndrome on the right L4-5 and L5-S1.,2.  Improved, spinal right L3-S1 radiofrequency ablation.,3.  Right sacroiliac joint sprain/strain, symptomatic.,4.  Left lumbar facet joint syndrome, stable.,6.  Right thoracic facet joint syndrome, stable.,7.  Lumbar spinal stenosis, primarily lateral recess with intermittent lower extremity radiculopathy, stable.,8.  Degenerative disc disease of both knees, symptomatic.,9.  Pes anserinus bursitis, bilaterally symptomatic.,10.  Chronic pain syndrome.,RECOMMENDATIONS:,  Dr. XYZ and I discussed with the patient her pathology.  She has some symptoms in her low back on the right side at the sacroiliac joint.  Dr. XYZ will plan having her come in and injecting her right sacroiliac joint under fluoroscopy.  She is also having pain in both knees.  We will plan on x-rays of both knees, AP and lateral, and plan on seeing her back on Monday or Friday for possible intraarticular and/or pes anserine bursa injections bilaterally.  I explained the rationale for each of these injections, possible complications and she wishes to proceed.  In the interim, she can continue on Lortab and Celebrex.  We will plan for the follow up following these interventions, sooner if needed.  She voiced understanding and agreement.  Physical exam findings, history of present illness, and recommendations were performed with and in agreement with Dr. Goel's findings.",
+                    "last_modified": "2020-03-29 14:43:25.574205+00:00",
+                    "annotations": [
+                        {
+                            "id": 46019,
+                            "user": "wish",
+                            "cui": "C0029408",
+                            "value": "degenerative joint disease",
+                            "start": 1840,
+                            "end": 1866,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:22.209249+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46020,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "degenerative disc disease",
+                            "start": 150,
+                            "end": 175,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:16.633085+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46021,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "degenerative disc disease",
+                            "start": 2753,
+                            "end": 2778,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:33.526068+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46022,
+                            "user": "wish",
+                            "cui": "C0158266",
+                            "value": "Degenerative disc disease",
+                            "start": 3180,
+                            "end": 3205,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:41.578076+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46023,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 234,
+                            "end": 256,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:18.105249+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46024,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "lumbar spinal stenosis",
+                            "start": 2780,
+                            "end": 2802,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:36.595481+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46025,
+                            "user": "wish",
+                            "cui": "C0158288",
+                            "value": "Lumbar spinal stenosis",
+                            "start": 3070,
+                            "end": 3092,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:37.341039+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46026,
+                            "user": "wish",
+                            "cui": "C0497156",
+                            "value": "lymphadenopathy",
+                            "start": 2203,
+                            "end": 2218,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:29.294663+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46027,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 314,
+                            "end": 327,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:19.926637+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46028,
+                            "user": "wish",
+                            "cui": "C0700594",
+                            "value": "radiculopathy",
+                            "start": 3153,
+                            "end": 3166,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:39.545144+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46029,
+                            "user": "wish",
+                            "cui": "C0006444",
+                            "value": "bursitis",
+                            "start": 372,
+                            "end": 380,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:21.147103+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46030,
+                            "user": "wish",
+                            "cui": "C0024003",
+                            "value": "lordosis",
+                            "start": 2269,
+                            "end": 2277,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:31.985917+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46031,
+                            "user": "wish",
+                            "cui": "C0006444",
+                            "value": "bursitis",
+                            "start": 3252,
+                            "end": 3260,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:42.320487+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46032,
+                            "user": "wish",
+                            "cui": "C0041582",
+                            "value": "ulcers",
+                            "start": 2179,
+                            "end": 2185,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:24.482353+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3270,
+                    "name": "1694",
+                    "text": "REASON FOR CONSULT:, Renal insufficiency.,HISTORY OF PRESENT ILLNESS:, A 48-year-old African-American male with a history of coronary artery disease, COPD, congestive heart failure with EF of 20%-25%, hypertension, renal insufficiency, and recurrent episodes of hypertensive emergency, admitted secondary to shortness of breath and productive cough. The patient denies any chest pain, palpitations, syncope, or fever. Denied any urinary disturbances, difficulty, burning micturition, hematuria, or back pain. Nephrology is consulted regarding renal insufficiency.,REVIEW OF SYSTEMS:, Reviewed entirely and negative except for HPI.,PAST MEDICAL HISTORY:, Hypertension, congestive heart failure with ejection fraction of 20%-25% in December 2005, COPD, mild diffuse coronary artery disease, and renal insufficiency.,ALLERGIES:, NO KNOWN DRUG ALLERGIES.,MEDICATIONS:, Clonidine 0.3 p.o. q.8, aspirin 325 daily, hydralazine 100 q.8, Lipitor 20 at bedtime, Toprol XL 100 daily.,FAMILY HISTORY:, Noncontributory.,SOCIAL HISTORY:, The patient denies any alcohol, IV drug abuse, tobacco, or any recreational drugs.,PHYSICAL EXAMINATION:,VITAL SIGNS: Blood pressure 180/110. Temperature 98.1. Pulse rate 60. Respiratory rate 23. O2 sat 95% on room air.,GENERAL: A 48-year-old African-American male in no acute distress.,HEENT: Pupils equal, round, and reactive to light and accommodation. No pallor or icterus.,NECK: No JVD, bruit, or lymphadenopathy.,HEART: S1 and S2, regular rate and rhythm, no murmurs, rubs, or gallops.,LUNGS: Clear. No wheezes or crackles.,ABDOMEN: Soft, nontender, nondistended, no organomegaly, bowel sounds present.,EXTREMITIES: No cyanosis, clubbing, or edema.,CNS: Exam is nonfocal.,LABS:, WBC 7, H and H 13 and 40, platelets 330, PT 12, PTT 26, CO2 20, BUN 27, creatinine 3.1, cholesterol 174, BNP 973, troponin 0.18. Previous creatinine levels were 2.7 in December. Urine drug screen positive for cocaine.,ASSESSMENT:, A 48-year-old African-American male with a history of coronary artery disease, congestive heart failure, COPD, hypertension, and renal insufficiency with:,1. Hypertensive emergency.,2. Acute on chronic renal failure.,3. Urine drug screen positive.,4. Question CHF versus COPD exacerbation.,PLAN:,1. Most likely, renal insufficiency is a chronic problem. Hypertensive etiology worsened by the patient's chronic cocaine abuse.,2. Control blood pressure with medications as indicated. Hypertensive emergency most likely related to cocaine drug abuse.,Thank you for this consult. We will continue to follow the patient with you.",
+                    "last_modified": "2020-03-29 14:43:25.574714+00:00",
+                    "annotations": [
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+                            ]
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+                        {
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+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46061,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 150,
+                            "end": 154,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:37:56.468797+00:00",
+                            "manually_created": false,
+                            "acc": 0.4945630420771805,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46062,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 745,
+                            "end": 749,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:26.312057+00:00",
+                            "manually_created": false,
+                            "acc": 0.3808427481106057,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46063,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2045,
+                            "end": 2049,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:45.200384+00:00",
+                            "manually_created": false,
+                            "acc": 0.4834381047688081,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46064,
+                            "user": "wish",
+                            "cui": "C0024117",
+                            "value": "COPD",
+                            "start": 2211,
+                            "end": 2215,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:49.467670+00:00",
+                            "manually_created": false,
+                            "acc": 0.47003333442157275,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46065,
+                            "user": "wish",
+                            "cui": "C0018802",
+                            "value": "CHF",
+                            "start": 2200,
+                            "end": 2203,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:38:48.742279+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                },
+                {
+                    "id": 3271,
+                    "name": "1577",
+                    "text": "HISTORY OF PRESENT ILLNESS:,  This is a 77-year-old male, who presents with gross hematuria that started this morning.  The patient is a difficult historian, does have a speech impediment, slow to answer questions, but daughter was able to answer lot of questions too.  He is complaining of no other pain.  He denies any abdominal pain.  Denies any bleeding anywhere else.  Denies any bruising.  He had an episode similar to this a year ago where it began the same with hematuria.  He was discharged after a workup in the hospital, in the emergency room, with Levaquin.  Three days later, he returned with a very large hematoma to his left neck and a coagulopathy with significant bleeding.  His H and H was down in the 6 level.  He received blood transfusions.  He was diagnosed with a malignancy, coagulopathy, and sounds like was in critical condition.  Family actually states that they were told that he was unlikely to live through that event, but he did.  Since then, he has had no bleeding.  The patient has had no fever.  No cough.  No chest pain or shortness of breath.  No bleeding gums.  No blurred vision.  No headache.  No recent falls or trauma.  He has had no nausea or vomiting.  No diarrhea.  No blood in the stool or melena.  No leg or calf pain.  No joint pain.  No rashes.  No swollen glands.  He has no numbness, weakness or tingling to his extremities.  No acute anxiety or depression.,PAST MEDICAL HISTORY: , Has prostate cancer.,MEDICATION: , He is receiving Lupron injection by Dr. Y. The only other medication that he takes is Tramadol.,SOCIAL HISTORY: , He does not smoke or drink.,PHYSICAL EXAMINATION:,Vital Signs:  Are all reviewed on triage.,General:  He is alert.  Answers slowly with a speech impediment, but answers appropriately.,HEENT:  Pupils equal, round, and reactive to light.  Normal extraocular muscles.  Nonicteric sclerae.  Conjunctivae are not pale.  His oropharynx is clear.  His mucous membranes are moist.,Heart:  Regular rate and rhythm, with no murmurs.,Lungs:  Clear.,Abdomen:  Soft, nontender, nondistended.  Normal bowel sounds.  No organomegaly or mass.,Extremities:  No calf tenderness, erythema or warmth.  He has no bruises noted.,Neurological:  Cranial nerves II through XII are intact.  He has 5/5 strength throughout.  ,GU:  Normal.,LABORATORY DATA:  ,The patient did on urinalysis have few red blood cells.  His urine was also grossly red, although no blood clots or gross blood was noted.  It was more of a red fluid.  He had a mild decrease in H and H at 12.1 and 34.6.  His white count was normal at 7.2.  His PT was elevated at 15.9.  PTT elevated at 36.4.  INR is 1.4.  His comprehensive metabolic profile is normal except for BUN of 19.,CONDITION: , The patient is stable at this time, although because of the history of the same happening and the patient beginning in the same fashion his history of coagulopathy, the patient is discussed with Dr. X and he is admitted for orders.  Also we will consult Dr. Y, see orders for further.",
+                    "last_modified": "2020-03-29 14:43:25.575246+00:00",
+                    "annotations": [
+                        {
+                            "id": 46066,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 651,
+                            "end": 663,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:13.712010+00:00",
+                            "manually_created": false,
+                            "acc": 0.3838111188129867,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46067,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 799,
+                            "end": 811,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:15.543257+00:00",
+                            "manually_created": false,
+                            "acc": 0.2145861484016487,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46068,
+                            "user": "wish",
+                            "cui": "C0005779",
+                            "value": "coagulopathy",
+                            "start": 2868,
+                            "end": 2880,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:21.843973+00:00",
+                            "manually_created": false,
+                            "acc": 0.33288367305576044,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46069,
+                            "user": "wish",
+                            "cui": "C0011570",
+                            "value": "depression",
+                            "start": 1396,
+                            "end": 1406,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:17.197406+00:00",
+                            "manually_created": false,
+                            "acc": 0.4542327638367848,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Other",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46070,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 82,
+                            "end": 91,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:10.208275+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46071,
+                            "user": "wish",
+                            "cui": "C0018965",
+                            "value": "hematuria",
+                            "start": 470,
+                            "end": 479,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:12.133207+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        },
+                        {
+                            "id": 46072,
+                            "user": "wish",
+                            "cui": "C0041834",
+                            "value": "erythema",
+                            "start": 2142,
+                            "end": 2150,
+                            "validated": true,
+                            "correct": true,
+                            "deleted": false,
+                            "alternative": false,
+                            "killed": false,
+                            "last_modified": "2020-04-01 22:39:19.627012+00:00",
+                            "manually_created": false,
+                            "acc": 1.0,
+                            "meta_anns": [
+                                {
+                                    "name": "Status",
+                                    "value": "Confirmed",
+                                    "acc": 1.0,
+                                    "validated": true
+                                }
+                            ]
+                        }
+                    ]
+                }
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/medcat-v1/tests/resources/mct_export_for_meta_cat_test.json b/v1/medcat/tests/resources/mct_export_for_meta_cat_test.json
similarity index 100%
rename from medcat-v1/tests/resources/mct_export_for_meta_cat_test.json
rename to v1/medcat/tests/resources/mct_export_for_meta_cat_test.json
diff --git a/medcat-v1/tests/resources/medcat_rel_test.csv b/v1/medcat/tests/resources/medcat_rel_test.csv
similarity index 100%
rename from medcat-v1/tests/resources/medcat_rel_test.csv
rename to v1/medcat/tests/resources/medcat_rel_test.csv
diff --git a/medcat-v1/tests/resources/medcat_rel_train.csv b/v1/medcat/tests/resources/medcat_rel_train.csv
similarity index 100%
rename from medcat-v1/tests/resources/medcat_rel_train.csv
rename to v1/medcat/tests/resources/medcat_rel_train.csv
diff --git a/medcat-v1/tests/resources/medcat_trainer_export.json b/v1/medcat/tests/resources/medcat_trainer_export.json
similarity index 100%
rename from medcat-v1/tests/resources/medcat_trainer_export.json
rename to v1/medcat/tests/resources/medcat_trainer_export.json
diff --git a/medcat-v1/tests/resources/medcat_trainer_export_FAKE_CONCEPTS.json b/v1/medcat/tests/resources/medcat_trainer_export_FAKE_CONCEPTS.json
similarity index 100%
rename from medcat-v1/tests/resources/medcat_trainer_export_FAKE_CONCEPTS.json
rename to v1/medcat/tests/resources/medcat_trainer_export_FAKE_CONCEPTS.json
diff --git a/medcat-v1/tests/resources/medcat_trainer_export_filtered.json b/v1/medcat/tests/resources/medcat_trainer_export_filtered.json
similarity index 100%
rename from medcat-v1/tests/resources/medcat_trainer_export_filtered.json
rename to v1/medcat/tests/resources/medcat_trainer_export_filtered.json
diff --git a/medcat-v1/tests/resources/medcat_trainer_export_relations.json b/v1/medcat/tests/resources/medcat_trainer_export_relations.json
similarity index 100%
rename from medcat-v1/tests/resources/medcat_trainer_export_relations.json
rename to v1/medcat/tests/resources/medcat_trainer_export_relations.json
diff --git a/medcat-v1/tests/resources/model_compatibility/check_backwards_compatibility.sh b/v1/medcat/tests/resources/model_compatibility/check_backwards_compatibility.sh
similarity index 100%
rename from medcat-v1/tests/resources/model_compatibility/check_backwards_compatibility.sh
rename to v1/medcat/tests/resources/model_compatibility/check_backwards_compatibility.sh
diff --git a/medcat-v1/tests/resources/regression/creation/cat_creation.py b/v1/medcat/tests/resources/regression/creation/cat_creation.py
similarity index 100%
rename from medcat-v1/tests/resources/regression/creation/cat_creation.py
rename to v1/medcat/tests/resources/regression/creation/cat_creation.py
diff --git a/medcat-v1/tests/resources/regression/creation/preprocessed4cdb.txt b/v1/medcat/tests/resources/regression/creation/preprocessed4cdb.txt
similarity index 100%
rename from medcat-v1/tests/resources/regression/creation/preprocessed4cdb.txt
rename to v1/medcat/tests/resources/regression/creation/preprocessed4cdb.txt
diff --git a/medcat-v1/tests/resources/regression/creation/selfsupervised_data.txt b/v1/medcat/tests/resources/regression/creation/selfsupervised_data.txt
similarity index 100%
rename from medcat-v1/tests/resources/regression/creation/selfsupervised_data.txt
rename to v1/medcat/tests/resources/regression/creation/selfsupervised_data.txt
diff --git a/medcat-v1/tests/resources/regression/creation/supervised_mct_export.json b/v1/medcat/tests/resources/regression/creation/supervised_mct_export.json
similarity index 100%
rename from medcat-v1/tests/resources/regression/creation/supervised_mct_export.json
rename to v1/medcat/tests/resources/regression/creation/supervised_mct_export.json
diff --git a/medcat-v1/tests/resources/regression/creation/vocab_data.txt b/v1/medcat/tests/resources/regression/creation/vocab_data.txt
similarity index 100%
rename from medcat-v1/tests/resources/regression/creation/vocab_data.txt
rename to v1/medcat/tests/resources/regression/creation/vocab_data.txt
diff --git a/medcat-v1/tests/resources/regression/run_regression.sh b/v1/medcat/tests/resources/regression/run_regression.sh
similarity index 100%
rename from medcat-v1/tests/resources/regression/run_regression.sh
rename to v1/medcat/tests/resources/regression/run_regression.sh
diff --git a/medcat-v1/tests/resources/regression/test_vocab.py b/v1/medcat/tests/resources/regression/test_vocab.py
similarity index 100%
rename from medcat-v1/tests/resources/regression/test_vocab.py
rename to v1/medcat/tests/resources/regression/test_vocab.py
diff --git a/medcat-v1/tests/resources/regression/testing/test_model_regresssion.yml b/v1/medcat/tests/resources/regression/testing/test_model_regresssion.yml
similarity index 100%
rename from medcat-v1/tests/resources/regression/testing/test_model_regresssion.yml
rename to v1/medcat/tests/resources/regression/testing/test_model_regresssion.yml
diff --git a/medcat-v1/tests/resources/test_categories.yml b/v1/medcat/tests/resources/test_categories.yml
similarity index 100%
rename from medcat-v1/tests/resources/test_categories.yml
rename to v1/medcat/tests/resources/test_categories.yml
diff --git a/v1/medcat/tests/stats/__init__.py b/v1/medcat/tests/stats/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/medcat-v1/tests/stats/helpers.py b/v1/medcat/tests/stats/helpers.py
similarity index 100%
rename from medcat-v1/tests/stats/helpers.py
rename to v1/medcat/tests/stats/helpers.py
diff --git a/medcat-v1/tests/stats/test_kfold.py b/v1/medcat/tests/stats/test_kfold.py
similarity index 100%
rename from medcat-v1/tests/stats/test_kfold.py
rename to v1/medcat/tests/stats/test_kfold.py
diff --git a/medcat-v1/tests/stats/test_mctexport.py b/v1/medcat/tests/stats/test_mctexport.py
similarity index 100%
rename from medcat-v1/tests/stats/test_mctexport.py
rename to v1/medcat/tests/stats/test_mctexport.py
diff --git a/medcat-v1/tests/test_cat.py b/v1/medcat/tests/test_cat.py
similarity index 100%
rename from medcat-v1/tests/test_cat.py
rename to v1/medcat/tests/test_cat.py
diff --git a/medcat-v1/tests/test_cdb.py b/v1/medcat/tests/test_cdb.py
similarity index 100%
rename from medcat-v1/tests/test_cdb.py
rename to v1/medcat/tests/test_cdb.py
diff --git a/medcat-v1/tests/test_cdb_maker.py b/v1/medcat/tests/test_cdb_maker.py
similarity index 100%
rename from medcat-v1/tests/test_cdb_maker.py
rename to v1/medcat/tests/test_cdb_maker.py
diff --git a/medcat-v1/tests/test_config.py b/v1/medcat/tests/test_config.py
similarity index 100%
rename from medcat-v1/tests/test_config.py
rename to v1/medcat/tests/test_config.py
diff --git a/medcat-v1/tests/test_entity_linking.py b/v1/medcat/tests/test_entity_linking.py
similarity index 100%
rename from medcat-v1/tests/test_entity_linking.py
rename to v1/medcat/tests/test_entity_linking.py
diff --git a/medcat-v1/tests/test_meta_cat.py b/v1/medcat/tests/test_meta_cat.py
similarity index 57%
rename from medcat-v1/tests/test_meta_cat.py
rename to v1/medcat/tests/test_meta_cat.py
index ead082c0b..7a58aa4de 100644
--- a/medcat-v1/tests/test_meta_cat.py
+++ b/v1/medcat/tests/test_meta_cat.py
@@ -4,9 +4,13 @@
 
 from transformers import AutoTokenizer
 
+from medcat.vocab import Vocab
+from medcat.cdb import CDB
+from medcat.cat import CAT
 from medcat.meta_cat import MetaCAT
 from medcat.config_meta_cat import ConfigMetaCAT
 from medcat.tokenizers.meta_cat_tokenizers import TokenizerWrapperBERT
+import tempfile
 import spacy
 from spacy.tokens import Span
 
@@ -117,6 +121,70 @@ def test_two_phase(self):
 
         self.meta_cat.config.model['phase_number'] = 0
 
+class CAT_METACATTests(unittest.TestCase):
+    META_CAT_JSON_PATH = os.path.join(os.path.dirname(os.path.realpath(__file__)), "resources",
+                                      "mct_export_for_meta_cat_full_text.json")
 
+    @classmethod
+    def _get_meta_cat(cls, meta_cat_dir):
+        config = ConfigMetaCAT()
+        config.general["category_name"] = "Status"
+        config.general['category_value2id'] = {'Other': 0, 'Confirmed': 1}
+        config.model['model_name'] = 'bert'
+        config.model['model_freeze_layers'] = False
+        config.model['num_layers'] = 10
+        config.train['lr'] = 0.001
+        config.train["nepochs"] = 20
+        config.train.class_weights = [0.75,0.3]
+        config.train['metric']['base'] = 'macro avg'
+
+        meta_cat = MetaCAT(tokenizer=TokenizerWrapperBERT(AutoTokenizer.from_pretrained("bert-base-uncased")),
+                           embeddings=None,
+                           config=config)
+        os.makedirs(meta_cat_dir, exist_ok=True)
+        json_path = cls.META_CAT_JSON_PATH
+        meta_cat.train_from_json(json_path, save_dir_path=meta_cat_dir)
+        return meta_cat
+
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.cdb = CDB.load(os.path.join(os.path.dirname(os.path.realpath(__file__)), "..", "examples", "cdb_meta.dat"))
+        cls.vocab = Vocab.load(os.path.join(os.path.dirname(os.path.realpath(__file__)), "..", "examples", "vocab_meta.dat"))
+        cls.vocab.make_unigram_table()
+        cls._temp_logs_folder = tempfile.TemporaryDirectory()
+        cls.temp_dir = tempfile.TemporaryDirectory()
+        cls.cdb.config.general.spacy_model = os.path.join(cls.temp_dir.name, "en_core_web_md")
+        cls.cdb.config.ner.min_name_len = 2
+        cls.cdb.config.ner.upper_case_limit_len = 3
+        cls.cdb.config.general.spell_check = True
+        cls.cdb.config.linking.train_count_threshold = 10
+        cls.cdb.config.linking.similarity_threshold = 0.3
+        cls.cdb.config.linking.train = True
+        cls.cdb.config.linking.disamb_length_limit = 5
+        cls.cdb.config.general.full_unlink = True
+        cls.cdb.config.general.usage_monitor.enabled = True
+        cls.cdb.config.general.usage_monitor.log_folder = cls._temp_logs_folder.name
+        cls.meta_cat_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "tmp")
+        cls.meta_cat = cls._get_meta_cat(cls.meta_cat_dir)
+        cls.cat = CAT(cdb=cls.cdb, config=cls.cdb.config, vocab=cls.vocab, meta_cats=[cls.meta_cat])
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        cls.cat.destroy_pipe()
+        if os.path.exists(cls.meta_cat_dir):
+            shutil.rmtree(cls.meta_cat_dir)
+        cls._temp_logs_folder.cleanup()
+
+    def test_meta_cat_through_cat(self):
+        text = "This information is just to add text. The patient denied history of heartburn and/or gastroesophageal reflux disorder. He recently had a stroke in the last week."
+        entities = self.cat.get_entities(text)
+        meta_status_values = []
+        for en in entities['entities']:
+            meta_status_values.append(entities['entities'][en]['meta_anns']['Status']['value'])
+
+        self.assertEqual(meta_status_values,['Other','Other','Confirmed'])
+
+import logging
+logging.basicConfig(level=logging.INFO)
 if __name__ == '__main__':
     unittest.main()
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