#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.

I am trying to add some validation to an existing Record Map, because recently we had some wrong data get consumed into the System and is causing all kinds of havoc.

Using the AI on the Developer community it suggested that I use PATTERN within the Datatype Parameters to force some validation on some fields. I have never used PATTERN before...

When I go to generate the updated Record Map, I am getting the following...

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The 2025.3 release of InterSystems IRIS® data platform, InterSystems IRIS® for Health, and HealthShare® Health Connect is now Generally Available (GA). This is a Continuous Delivery (CD) release.

Release Highlights:

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Hi community!

I am excited to say that since the beginning of this year we have published many of the client SDKs for InterSystems IRIS, InterSystems IRIS for Health and Health Connect to the corresponding external repositories (Maven, NuGet, npm and PyPI). This provides many benefits to you such as:

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Hola amigo! 😊 Cómo estás hoy,

I would like to share a small part of my learnings from my first ever official project: POS/EDC machine integration with our billing system. This was an exciting challenge where I got hands-on experience working with APIs and vendors.

How does a Payment Machine actually work?

It's simple, start by initiating/creating a transaction, then retrieve its payment status.

Here, initiate/create refers to POST method and Retrieve refers to GET.

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Vibe the Module, Not the Data


While working with the FHIR to OMOP Service, I've seen good FHIR synthetic data being created using commercial LLM's etc, custom tailored for ConditionOnset with the typical amazement on return, but witnessed some questionable trust first hand on a call. This approach also falls short generating gigantic payloads so I can go back to my interests on the backend and ensure smooth data transition.

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Hi Community,

In the first part of this series, we examined the fundamentals of Interoperability on Python (IoP), specifically how it enables us to construct such interoperability elements as business services, processes, and operations using pure Python.

Now, we are ready to take things a step further. Real-world integration scenarios extend beyond simple message handoffs.They involve scheduled polling, custom message structures, decision logic, filtering, and configuration handling.In this article, we will delve into these more advanced IoP capabilities and demonstrate how to create and run a more complex interoperability flow using only Python.

To make it practical, we will build a comprehensive example: The Reddit Post Analyzer Production. The concept is straightforward: continuously retrieving the latest submissions from a chosen subreddit, filtering them based on popularity, adding extra tags to them, and sending them off for storage or further analysis.

The ultimate goal here is a reliable, self-running data ingestion pipeline. All major parts (the Business Service, Business Process, and Business Operation) are implemented in Python, showcasing how to use IoP as a Python-first integration methodology.

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Hi, Community!

If you need to help providers meet a payer's documentation requirements, see how the Documentation Templates and Rules (DTR) module of the InterSystems Payer Services ePrior Authorization solution can help:

Documentation Templates and Rules

https://www.youtube.com/embed/SKZ_pz6GkUY?utm_source=youtube&utm_medium=social&utm_campaign=SKZ_pz6GkUY
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