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#Tutorial

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Post that includes the step by step explanation of the technical feature or solution.

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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Hey folks! Having recently onboarded to InterSystems, I realized that despite having a totally free and awesome Community Edition, it's not super clear how to get it. I decided to write up a guide highlighting all the different ways you can access the Community Edition of InterSystems IRIS:

Get InterSystems IRIS Community Edition as a Container

Working with a containerized instance of the Community Edition is the recommended approach for folks who are new to developing on InterSystems IRIS, and in my opinion it's the most straightforward. InterSystems IRIS Community Edition can be found on DockerHub; if you have an InterSystems SSO account, you can also find it in the InterSystems Container Registry.

In either case, you'll want to pull the image you want using the docker CLI:

docker pull intersystems/iris-community:latest-em
// or
docker pull containers.intersystems.com/intersystems/iris-community:latest-em

Next, you'll need to start the container: In order to interact with IRIS from outside the container (for example, to use the management portal) you'll need to publish some ports. The following command will run the IRIS Community Edition container with the superserver and web server ports published; note that you can't have anything else running that depends on ports 1972 or 52773!

docker run --name iris -d --publish 1972:1972 --publish 52773:52773 intersystems/iris-community:latest-em

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Article
· Sep 29, 2025 13m read
InterSystems for Dummies – Record Map

I am truly excited to continue my "InterSystems for Dummies" series of articles, and today, we want to tell you everything about one of the most powerful features we have for interoperability.

Hey, even if you have already had a go, we plan to take a really close look at how to get the most out of them and make our production even better.

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Introduction

HL7 messages often contain multiple repeating segments such as NTE, AL1, OBX, ZTX, DG1, and others. These segments sometimes require individual processing and routing to different downstream systems. This technical paper introduces a configurable template designed to automate the splitting of these repeating HL7 segments, improving message handling and integration efficiency.

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Project Overview / Introduction

Developing and testing REST APIs in InterSystems IRIS often requires a significant amount of boilerplate code. While ObjectScript provides powerful tools for building APIs, writing consistent and repeatable tests can be time‑consuming. This is where IrisOASTestGen comes in.

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When I started my journey with InterSystems IRIS, especially in Interoperability, one of the initial and common questions I had was: how can I run something on an interval or schedule? In this topic, I want to share two simple classes that address this issue. I'm surprised that some similar classes are not located somewhere in EnsLib. Or maybe I didn't search well? Anyway, this topic is not meant to be complex work, just a couple of snippets for beginners.

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Hello Community:

Let's go with the last article on how to record yourselves for the Article Contest video bonus.

I'm not going to go into how to do very specific things in editing because it varies depending on the program you use. The keyboard shortcuts and menus are different, but the concept is the same. You are going to use a programme to organise the recorded material, remove the excess and give it structure. Many of these softwares are free (Capcut, Canva and if I'm not mistaken DaVinci had a free version). I've been editing with Adobe Premiere for almost ten years now (wow, I'm getting old), so if you have any questions about this software, feel free to write to me.

Here are some concrete tips:

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One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings accomplish this by encoding the semantics of text as high-dimensional numeric vectors, which can be employed by advanced search algorithms (normally an approximate nearest neighbor algorithm like Hierarchical Navigable Small World). This not only improves our ability to interact with unstructured text programmatically but makes it searchable by context and by meaning beyond what is captured literally by keyword.

In this article I will walk through a simple vector search implementation that Kwabena Ayim-Aboagye and I fleshed out using embedded python in InterSystems IRIS for Health. I'll also dive a bit into how to use embedded python and dynamic SQL generally, and how to take advantage of vector search features offered natively through IRIS.

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Introduction

Earlier this year, I set about creating kit to introduce young techy folk at a Health Tech hackathon to using InterSystems IRIS for health, particularly focusing on using FHIR and vector search.

I wanted to publish this to the developer community because the tutorials included in the kit make a great introduction to using FHIR and to building a basic RAG system in IRIS. Its an all inclusive set of tutorials to show in detail how to:

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