Background

Emergency Medical Services (EMS) teams often arrive at the emergency department with patients whose demographics are incomplete or unknown—no medical record number (MRN), no confirmed name, and sometimes no date of birth. Yet EMS transportation notes still need to land in the correct chart.

To support safe and reliable documentation, EMS agencies, third-party integration services, and hospital integration teams build secure interfaces that exchange identifiers and clinical messages.

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.

Hi,
I'm pretty sure I'm not the first one to encounter this, so please share your solution
I'm trying to load a package with 2 dependencies, one of them has 5 dependencies..
is there a better tool / script / wizard for that?
 

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.