This is the organization profile for Carlos EMR.
Carlos EMR is focused on developing Electronic Medical Records (EMR) solutions and healthcare-related software projects. Our repositories contain tools, libraries, and applications designed to support healthcare technology initiatives.
Explore our repositories to discover our latest projects and contributions. Check out our pinned repositories below to see what we're currently working on.
currently experimental collection of freely shared eforms for use with EMRs such as openo/openosp, and other code-related EMRs
HTML
Forked from GetWellClinic/gofetchrover
GoFetchRover is a XML/HL7 lab downloader solution for OSCAR (Lifelabs Excelleris, AlphaLabs, Dynacare, Med-Health, other SFTP)
Shell
Forked from GetWellClinic/hl7_file_management
OSCAR Mule HL7 File Management (GWC Version) cloned from https://bitbucket.org/oscaremr/hl7_file_management for use with GoFetchRover project
Java
Forked from GetWellClinic/local-llm-container
This will be developed to be the compatible LLM container for AI apps, forked from ClinicianFOCUS main branch. Updates from ClinicianFOCUS project will be validated to work with AI-MOA and later re…
Python
Open-source Electronic Medical Records (EMR) for Canadian healthcare — HL7, FHIR, Java 21, Spring 5. Contributors welcome!
AI-MOA is an advanced, locally run, AI-powered Medical Office Assistant designed to automate various tasks in a medical office setting. It focuses on document processing, workflow management, and seamless integration with the OSCAR Electronic Medical Record (EMR) system.
GoFetchRover is a XML/HL7 lab downloader solution for OSCAR (Lifelabs Excelleris, AlphaLabs, Dynacare, Med-Health, other SFTP)
OSCAR Mule HL7 File Management (GWC Version) cloned from https://bitbucket.org/oscaremr/hl7_file_management for use with GoFetchRover project
currently experimental collection of freely shared eforms for use with EMRs such as openo/openosp, and other code-related EMRs
This will be developed to be the compatible LLM container for AI apps, forked from ClinicianFOCUS main branch. Updates from ClinicianFOCUS project will be validated to work with AI-MOA and later released in "stable" branch to be paired with AI-MOA.
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