EMR4ALL | AI for OpenMRS – Natural Language to SQL Query Demo

Welcome to a new era of accessible digital health!

In this video, we showcase the AI-powered tool developed by EMR4ALL, allowing health professionals to query the OpenMRS database using simple natural language—no SQL or programming experience required.

🌍 About the Project:
EMR4ALL is a non-profit organization dedicated to deploying open-source EMRs in underserved and remote areas. This AI tool is part of our mission to empower healthcare workers with intelligent, accessible technology—even in low-resource environments.

🧠 What the AI Does:

Understands natural language prompts
Converts them into accurate SQL queries
Queries the OpenMRS database in real-time
Displays structured results (e.g., cohorts, diagnostics, treatment outcomes)

💡 Use Case Demo:
Prompt: “Show all patients diagnosed with malaria in the last 6 months and their treatment outcomes.”
👉 Watch how the AI interprets the prompt, generates SQL, and retrieves the data instantly.

⚙️ Deployment Details:
Current version runs on cloud (AWS)
Offline deployment to Raspberry Pi is in progress

Future versions will include a UI module integrated into OpenMRS or as a standalone AI assistant

👨‍💻 Development Team:
Lead Developer: Tendo Martyn
Technical Lead: Benjamin Musole

Powered by the EMR4ALL tech team

🎯 Our Mission:
To ensure everyone has access to digital health tools that improve treatment outcomes—no matter where they live.

📥 Want to collaborate or learn more?
🌐 Visit: https://www.emr4all.org/
📧 Contact: info@emr4all.org
📢 Follow us for updates and open-source resources!

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