#InterSystems IRIS for Health

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InterSystems IRIS for Health™ is the world’s first and only data platform engineered specifically for the rapid development of healthcare applications to manage the world’s most critical data. It includes powerful out-of-the-box features: transaction processing and analytics, an extensible healthcare data model, FHIR-based solution development, support for healthcare interoperability standards, and more. All enabling developers to realize value and build breakthrough applications, fast. Learn more.

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Question Bernat · Mar 30

Hi everyone,

I’ve configured an integration scenario in InterSystems IRIS with a Business Service exposed as a SOAP web service. Everything works correctly when the web application allows unauthenticated access.

However, when I switch the web application to require Basic Authentication, I’m unable to get it working properly. I have configured a resource and assigned it to both the web application and the user I’m using for the request, but I consistently get login failures (visible in the audit log).

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Article Jorge Jaramillo Herrera · Mar 30 7m read

A Continuous Training (CT) pipeline formalises a Machine Learning (ML) model developed through data science experimentation, using the data available at a given point in time. It prepares the model for deployment while enabling autonomous updates as new data becomes available, along with robust performance monitoring, logging, and model registry capabilities for auditing purposes.

InterSystems IRIS already provides nearly all the components required to support such a pipeline. However, one key element is missing: a standardised tool for model registry.

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Discussion Juan Mota Sanchez · Mar 26

My team is trying to decide on the best Git strategy for a group of related but separate projects/environments.

One side prefers one repo per project/environment/namespace for cleaner separation. The other side prefers one repo with multiple project folders so shared code and releases are easier to manage in one place.

The challenge is that these projects are separate enough that boundaries matter but related enough that some utilities and common logic may need to be reused. We also want the setup to be easy for developers to understand and not become a deployment nightmare later.

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Article Tani Frankel · Mar 26 1m read

v2026.1 was just released as GA, and one of the features I'm looking forward to using is the DTL Explainer feature.

This allows you to take a Data Transformation, and with a click of a button get a human-readable description of the transformation (which you can also use as the basis for the DTL Description).

For complex DTLs, especially ones you didn't write yourself, or you did but a long time ago, this will allow you to get a clear quick understanding of what it's doing.

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