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Milestones

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  • Enforcing governance at the infrastructure layer. - Compliance checker which allows users to add rules to data extraction and ML pipeline process - Audit logging and cache for prod deployments

    No due date
    β€’1/1 issues closed
  • A secure gateway layer that manages routing, transformation, and event handling between healthcare systems (FHIR servers, EHRs) with a focus on maintainable, compliant integration patterns.

    No due date
    β€’3/3 issues closed
  • - Migrate project to be fully FHIR-native - Build full capacity interop engine which handles CDA/HL7v2 <-> FHIR conversion - Use a Liquid to configure templates - Track template and clinical terminology systems in configs

    No due date
    β€’3/3 issues closed
  • This may involve technical and user research. Set up basic infrastructure that can be easily extended.

    No due date
    β€’1/1 issues closed
  • - Implement AI / NLP workflow pipelines that allow users to build pipelines from components easily. Pipelines are opinionated by user case and have specific processing steps that allow it to integrate with diverse range of health objects. - Allow user-created pipelines to be versioned, saved, and shared easily.

    No due date
    β€’8/8 issues closed