HealthCoach AI is a FHIR training platform that helps healthcare
MedBridge — AI agent for lab interoperability with FHIR R4
OASIS UBL integration example
A multi-agent clinical AI platform powered by InterSystems IRIS
Smart Discharge Navigator tackles hospital readmissions
FHIR AI Assistant using InterSystems IRIS and On premises LLM
TriageAide is an AI agent that retrieves a patient's FHIR clinical history, conducts a personalized pre-consultation triage via chat, and writes structured triage results back to the FHIR server — so the physician receives a ready-made clinical summary before the appointment.
A Python AI agent that retrieves FHIR R4 patient resources from InterSystems IRIS for Health and generates a clinical summary.
Portable SQL-like query and execution runtime for FHIR
AI-powered FHIR assistant with RAG and IRIS.
A sample of using InterSystems IRIS for Health FHIR Server with SMART OAuth Authentication, demonstrating usage of granular fine-grained scopes; with Keycloak as the OAuth Server (and Postman as the client)
Patient-facing lab explanation engine for contest.
Smart Patient Summary Generator for the Contest
Supports the profiling of FHIR resources in HealthShare ODS
How to customize the InterSystems IRIS FHIR Repository - Samples
Browse FHIR patient records on InterSystems IRIS for Health
An AI-powered patient matching engine built on InterSystems IRIS, utilizing Vector Search and Natural Language Processing (NLP) to find clinically similar patients across FHIR repositories
Example for related exercise on the InterSystems Learning site.
A kit for using IRIS with Python to create FHIR applications with AI
Event-driven Agentic AI demo for healthcare using InterSystems IRIS for Health and FHIR
FHIR Server template for InterSystems IRIS for Health
Sample of using FHIR Lists (_list, Functional/Current Lists, and $find)
IRIS FHIRServer repository and FHIR foundation Logs
Internal FHIR Server Log
Stateless Message Transformation - HL7, CCDA, FHIR, SDA
FHIR SQL Builder with Vector Search Demo
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
A hands-on workshop sample with detailed exercise instructions
A dashboard for testing CCDA, FHIR, and SDA transforms in IRIS.
IRIS-FHIR Bridget is a robust interoperability engine designed to seamlessly convert healthcare data across multiple standards
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