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.
ObjectScript implementation of FHIR R5 resources for ÚNICAS
Integration with LLMs like GPT,llama
IRIS FHIRServer repository and FHIR foundation Logs
A dashboard for testing CCDA, FHIR, and SDA transforms in IRIS.
AI-powered Clinical Decision Support System (CDSS)
IRIS-FHIR Bridget is a robust interoperability engine designed to seamlessly convert healthcare data across multiple standards
Collect FHIR data using Google Forms data
Automatically generate patient education content and personalize
Combining FHIR medical information to obtain AI medical reports
Build your own FHIR resources with synthetic data
Natural language querying of patient clinical data.
A React-Native frontend UI for FHIR server generated by Lovable
FHIR Server template for InterSystems IRIS for Health
Create FHIR Binary response with interoperability
How to customize the InterSystems IRIS FHIR Repository - Samples
IRIS Health FHIR based HL7 message generator
How to create a FHIR primitive extension
Test cases validating FHIR payload against custom FHIR IG on InterSystems IRIS FHIR Server
A hands-on workshop sample with detailed exercise instructions
Supports the profiling of FHIR resources in HealthShare ODS
Patient Chart using FHIR Resources
Training on FHIR and Python based on IRIS for Health.
A Simple FHIR Message Verification Application+Message Create
Functional example of Angular APP + Auth0 + IRIS FHIR Repository
Image extraction text to fhir message
FHIR Clinical Mindmap Viewer
A web app to display FHIR resources details dynamically
Using IRIS and LLMs to help developers to convert raw data into FHIR
Processing FHIR resources through FHIR SQL BUILDER will predict the probability of suffering from HepatitisC disease
Our AI-driven eligibility query tool streamlines patient identification by leveraging FHIR data, making it easier to find patients with care gaps and suitable cohorts for clinical trials. It integrates with IRIS, handling requests across diverse data sources, asking clarifying questions, and executing tasks asynchronously
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