Contribution to the LabLabAI AI Challenge Hackathon October 2023. The application should allow the user to interact with a large language model (GPT-3.5, GPT-4) and support working on synthetic health data that comes in the electronic health record interoperability format FHIR.
Project Team Page & Project Submission Page
git clone https://github.com/bsenst/llm-enhanced-ehrcd llm-enhanced-ehrpip install -r streamlit/requirements.txtstreamlit run streamlit/app.py- explore synthea dataset
- create a user interface to display (parts of the) synthea data (streamlit, openehr, openemr)
- integrate LLM (clarifai, sketch)
- connect synthea data with LLM (langchain, llama-index, RAG)
- define workflows/queries, document examples
- prepare submission - screenrecording, presentation
Optional features:
- set up free database to store user feedback (streamlit feedback)
- implement LangChain extraction pipeline to turn unstructured to structured medical notes (ideally FHIR format)