AI-Powered Natural Language Querying
As part of our ongoing commitment to improving digital health access, EMR4ALL We have successfully developed and deployed an AI solution that enables natural language querying of OpenMRS databases.
Key Achievements:
- Developed a system that translates plain language prompts into SQL queries for OpenMRS.
- Fully deployed and tested on a cloud infrastructure (AWS).
- Capable of retrieving patient data, diagnostics, cohort results, and more without writing code.
- Developed with a non-technical user focus, especially for low-resource and remote settings.
- Offline version for Raspberry Pi deployment is under development.
- Built in just one month by the EMR4ALL team, led by @tendomart and @bennyange
This tool significantly enhances the usability of OpenMRS and is aligned with our mission to make EMRs accessible, intelligent, and inclusive.
We are excited to collaborate further with the OpenMRS community to refine, share, and expand this innovation.
— More Info / Demo:https://youtu.be/tMbCsbM3p7E
About EMR4All project: www.emr4all.org