#FHIR

Hello everyone,

I am André from MedVertical. We are exploring InterSystems-native ways to operationalize continuous FHIR conformance: repeatable regression runs, baseline/delta comparisons, and evidence-style reporting to detect drift after releases and IG changes.

In many FHIR implementations, validation is done “point-in-time” in pre-prod, but conformance degrades in production due to IG/profile updates, terminology changes, mapping evolution, upstream releases, and configuration drift.

Environment context (to anchor recommendations):

• InterSystems: IRIS for Health and/or HealthShare (both

Hello Community,

We are excited to announce that registration is now open for the second cohort of the course:

 🧑‍💻 Developing FHIR Applications Using Python 🧑‍💻

This hands-on program is designed for developers who want to build real-world FHIR applications using Python and InterSystems IRIS for Health. 

👉 Watch 5-minute course overview

📅 Second cohort starts March 29, 2026

In the modern healthcare landscape, finding clinically similar patients often feels like looking for a needle in a haystack. Traditional keyword searches often fail because medical language is highly nuanced; a search for "Heart Failure" might miss a record containing "Congestive Cardiac Failure."

I am excited to share iris-medmatch, an AI-powered patient matching engine built on InterSystems IRIS for Health. By leveraging Vector Search, this tool understands clinical intent rather than just matching literal strings.
## The Core Innovation: Semantic Clinical Search

`iris-medmatch` bridges the