Interoperability on Python (IoP) is a proof-of-concept project designed to showcase the power of the InterSystems IRIS Interoperability Framework when combined with a Python-first approach.IoP leverages Embedded Python (a feature of InterSystems IRIS) to enable developers to write interoperability components in Python, which can seamlessly integrate with the robust IRIS platform. This guide has been crafted for beginners and provides a comprehensive introduction to IoP, its setup, and practical steps to create your first interoperability component. By the end of this article, you will get a clear understanding of how to use IoP to build scalable, Python-based interoperability solutions.

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I would like to know which are the best practices of using Streams in Interoperability messages.

I have always use %Stream.GlobalCharacter properties to hold a JSON, or a base64 document, when creating messages. This is fine and I can see the content in Visual Trace without doing anything, so I can check what is happening and resolve issues if I have, or reprocess messages if something went wrong, because I have the content.

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What are best practices for JSON transformation in IRIS interoperability? This is for a non-healthcare use case, so any tools we happen to have around FHIR might not be available. The motivating use case is trimming down a verbose and needlessly complex REST API response to feed to an LLM - trying to reduce token usage and maybe get better results from less noisy data.

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Hi,

I'm new to ZEN . I want to create a Zen web page to upload a local file & save it to server and download the same file to other sever.

This needs to be implemented without unix access (using only IRIS code only).

I gave it a try with below basic code (just to upload file) , the page is loading with file uploader but after uploading a local txt file, the pFile object is not getting created.

$IsObject (pFile) is returning 0.

Please assist!

Thanks in advance!

Class MyApp.BasicFileMgr Extends %ZEN.Component.page {

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Contestant

#InterSystems Demo Games entry


⏯️ Being READY to Tackle Healthcare Enterprise Challenges in a Few Clicks

Managed Cloud Solutions to Help Streamline Your Health Services.

This demo showcases composing several InterSystems Managed Cloud Services to solve various use-cases.

The video is actually built of 6 short chapters (each ~2.5 minutes long) showing each part of the story, demoing a different service.

You can watch each "chapter" individually if you're interested in a specific service, but there is value in viewing the whole composition and observing the full flow.

  • 0:00 Health Connect Cloud - Medical Device MQTT - HL7v2 for Hospital Operation Systems
  • 2:29 FHIR Server & FHIR Transformation Service - HL7v2 to FHIR & Repository for Regulation & Exchange
  • 5:21 FHIR SQL Builder - Providing standard relational access to FHIR data
  • 7:22 "FHIR IntelliChat" (see note below) - Natural human language chat with FHIR Server
  • 9:37 OMOP Solution - FHIR to OMOP transformation & OMOP database with OHDSI tools compliance
  • 12:54 InterSystems Data Fabric Studio for Health - Creating a multi data/app sources fabric

[Note the "FHIR IntelliChat" part is not an actual formal InterSystems service, it is just a demonstration of a possibility (based on this solution by @José Pereira) ]

Presenters:
🗣 @Tani Frankel, Sales Engineer Manager, InterSystems
🗣 @Keren Skubach, Senior Sales Engineer, InterSystems
🗣 @Ariel Glikman, Sales Engineer, InterSystems

https://www.youtube.com/embed/MM7GS4z3W5Y
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Customer support questions span structured data (orders, products 🗃️), unstructured knowledge (docs/FAQs 📚), and live systems (shipping updates 🚚). In this post we’ll ship a compact AI agent that handles all three—using:

  • 🧠 Python + smolagents to orchestrate the agent’s “brain”
  • 🧰 InterSystems IRIS for SQL, Vector Search (RAG), and Interoperability (a mock shipping status API)

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