This is a POC to demonstrate how InterSystems IRIS can be used to interact with an external language via the Python SDK (IRIS Native) to create and analyze a FHIR repository. Finally, the data is visualized using Streamlit, featuring hybrid search to locate the patient and a local LLM model to generate a patient history based on the extracted data.
Combining FHIR medical information to obtain AI medical reports
Integration with LLMs like GPT,llama
Example codebase to match Dev Community Article
Accessible Learning Assistant
Python application to demo RAG application using IRIS vector DB
Symptoms Clinical Trial Search Tool using Knowledge Graphs
LangChain meets FHIR for personalized health plans
Application support Machine Learning, LLM, NLP, PALM and OpenAI
OpenAI Transcribe & Summarize. Google Docs & Sheets Integration
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