Investigate & Implement OpenMRS
Data Analytics 2.3
Objective
Most EMR systems are expensive, closed off to learners, and hard to adapt to diverse global healthcare needs. This creates barriers not just for clinicians in underserved areas, but also for students, researchers, and developers seeking to build the next wave of digital health tools.
Real-World Impact
This project used OpenMRS as a teaching tool but it is capable of much more—it’s a scalable, modular EMR platform ready for real-world deployment in clinics, classrooms, and innovation hubs. It offers a launchpad for AI-driven experimentation, health equity, and hands-on education in digital health infrastructure.
Exploring Open-Source OpenMRS for Scalable Digital Health Infrastructure
This project explored the potential of OpenMRS — an open-source electronic medical record system used in over 40 countries — to transform healthcare in low-resource environments. This team installed and customized OpenMRS in both standalone and developer modes.
Key Highlights
- Core EMR workflows including patient registration, visit tracking, diagnosis entry, appointment scheduling
- API and FHIR testing to evaluate interoperability with external systems
- Feature exploration including IMO terminology integration, modular add-ons, and potential for multilingual UX and offline/cloud syncing
- Early discussions on AI extensions for clinical decision support and dynamic user interfaces
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