Foundation Layer
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OpenMRS

Open-Source EMR Foundation for Rapid Healthcare Innovation
Summary
A modular, open-source electronic medical record (EMR) platform used worldwide, providing a configurable backbone for care delivery, data capture, and research pilots — with modern UX, standards support, and interoperable APIs.

PROJECT HIGHLIGHTS


Modular, Extensible Architecture

Leverage OpenMRS’s pluggable modules (forms, programs, reporting, cohort tools) to rapidly prototype and iterate on clinical workflows without rebuilding core EMR functions.

Modern OpenMRS 3 UX

Adopt the latest microfrontend-based UI for faster, cleaner clinician experiences (visit dashboards, patient charts, orders, vitals) and customizable app shells per site or program.

FHIR-Enabled Interoperability

Expose and consume data via FHIR (through the FHIR module) to integrate with AI services, analytics pipelines, registries, and external systems alongside REST APIs.

Configurable Clinical Forms & Programs

Design point-of-care forms (HTML Form Entry/JSON) and program workflows for triage, chronic disease management, and research protocols — with versioning and form libraries.

Terminology & Concepts at Scale

Standardize data using concept dictionaries and mappings (e.g., SNOMED CT, LOINC, ICD-10) via the concept dictionary and optional OCL (Open Concept Lab) alignment.

Cohorts, Reporting & Data Exports

Create dynamic cohorts and scheduled reports; export flat files or FHIR bundles to support population studies, dashboards, and downstream RWE analytics.

Offline-Ready & Resource-Conscious

Operational in low-connectivity environments with sync-friendly patterns and lightweight deployment footprints — ideal for pilots and distributed field sites.

Secure, Role-Based Access

Granular roles and privileges for clinicians, researchers, and admins; integrates with modern auth (incl. OIDC gateways) for auditability and least-privilege access.

Deployment Flexibility

Package for on-prem or cloud with Docker/Kubernetes; connect to common relational backends and observability stacks for scalable operations and testing sandboxes.

Ecosystem Compatibility

Interoperate with adjacent open-source health tools (e.g., OpenHIM, DHIS2, OpenELIS/Bahmni distributions) to extend lab, reporting, and supply workflows when needed.

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