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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· Aug 22 26m read
Building a robot with IRIS

In this case, a robot is nothing like Gort from the movie “The Day the Earth Stood Still” or any other humanoid robot from science fiction. Nor is this Robot the one-armed automated welder from a real-world automotive assembly line. This Robot is a program that controls another program. You might want this for automated testing or to capture application logic from an application for which you don’t have the source, and the application’s author lacked the kindness or foresight to provide an API for its capabilities.

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#InterSystems Demo Games entry


⏯️ Closing the Scientific Knowledge Gap with AI

For venture capitalists (VCs), evaluating research can be challenging. While researchers typically possess years of training and deep expertise in their field, the VCs tasked with assessing their work often lack domain-specific knowledge. This can lead to incomplete understanding of scientific data and an inability to direct organizational initiatives. To solve this problem, we have designed a solution that empowers VCs with AI-driven due diligence: ResearchExplorer. ResearchExplorer is powered by InterSystems IRIS and GPT-4o to help analyze private biomedical research alongside public sources like PubMed using Retrieval-Augmented Generation (RAG). Users submit natural language queries, and the system returns structured insights, head-to-head research comparisons, and AI-generated summaries. This allows users to bridge expertise gaps while securely protecting proprietary data.

Presenters:
🗣 @Jesse Reffsin, Senior Sales Engineer, InterSystems
🗣 @Lynn Wu, Sales Engineer, InterSystems

https://www.youtube.com/embed/zsV3LhGDP1Q
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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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While starting with Intersystems IRIS or Cache, developers often encounter three core concepts: Dynamic Objects, Globals & Relational Table. Each has its role in building scalable and maintainable solutions. In this article, we'll walk through practical code examples, highlight best practices, and show how these concepts tie together.

1. Working with Dynamic Objects:

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Trying to create a new SQL Storage map on existing cache Global in the following format - ^MYGLO("R",rec)=data where the 'data' is built using $zel. e.g. $zel(data,1)="p1", $zel(data,2)="p2" etc... and the ^MYGLO("R",123)=data.

I'm having 2 issues. First, using the SQL Storage map wizard, I cannot figure out how to convey data in $zel format in the "Delimiter" field.

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Recently, I replaced my old laptop with a new one and had to migrate all my data. I was looking for a guide but couldn’t find anything that explained in detail how to migrate server connections from InterSystems Studio and Visual Studio Code from one PC to another. Simply reinstalling the tools is not enough, and migrating all the connections manually seemed like a waste of time. In the end, I managed to solve the problem, and this article explains how.

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I try the Large data Save in FHIR server in Binary Resource but it's failed

Methed: Post , URL: fhirservers/fhir/r4/Binary

I hit the API but the record not save and same API but base64 data length is 3 lac than it's save without faile.

I pass data on this formet

{

"resourceType" : "Binary",

// from Resource: id, meta, implicitRules, and language

"contentType" : "<code>", // R! MimeType of the binary content

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Hi Community,

Sometimes you may need to merge multiple accounts or simply update the email address you use across the different portals in the InterSystems Developer Ecosystem. Since each portal works a little differently, here’s a guide to help you through the process.

Change your email

If you’d like to use a different email (for example, use a work email instead of a personal one, or vice versa), here’s how to update it across the portals:

1. Update your email in InterSystems SSO. To do this:

  • follow the prompts on screen to change your email

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Using a WSDL and the SOAP wizard I created a WebServiceClient, and Operation to send an encoded message to a Vendor. But the vendor is now sending back an HL7 in the SOAP response.

I tried updating the Operation to Extend EnsLib.HL7.Operation.ReplyStandard, but still use the EnsLib.SOAP.OutboundAdapter. When I did this it broke my Operation and would not compile with the following error...

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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

Can AI Fix Bugs? Evaluating Progress and Challenges

https://www.youtube.com/embed/40GcldFU9Nc?si=Q8iBh5bMXTj0VQIW
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Hello All,

I have used github (outside of IRIS) for many many years and have no problem with it. Also used SVN and other source control systems.

I have a conceptual problem understanding the ISC github links and how they work via VSCode.

https://github.com/intersystems/git-source-control

Our server is on Linux.

What I've done:

1. On Linux Server - d ##class(SourceControl.Git.API).Configure()

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This article describes a significant enhancement of how InterSystems IRIS deals with table statistics, a crucial element for IRIS SQL processing, in the 2025.2 release. We'll start with a brief refresher on what table statistics are, how they are used, and why we needed this enhancement. Then, we'll dive into the details of the new infrastructure for collecting and saving table statistics, after which we'll zoom in onto what the change means in practice for your applications. We'll end with a few additional notes on patterns enabled by the new model, and look forward to the follow-on phases of this initial delivery.

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Build 2025.1.0.1.24372U.f00326d.

Overview


This release delivers expanded Azure support for InterSystems Data Fabric Studio, enhanced subscription flexibility, major module updates, and multiple improvements to networking, security, and API responsiveness.

New Features and Enhancements

Category

Feature/Improvement

Details

Azure Support

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This article outlines the process of utilizing the renowned Jaeger solution for tracing InterSystems IRIS applications. Jaeger is an open-source product for tracking and identifying issues, especially in distributed and microservices environments. This tracing backend that emerged at Uber in 2015 was inspired by Google's Dapper and Twitter's OpenZipkin. It later joined the Cloud Native Computing Foundation (CNCF) as an incubating project in 2017, achieving graduated status in 2019. This guide will demonstrate how to operate the containerized Jaeger solution integrated with IRIS.

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#InterSystems Demo Games entry


⏯️ Introducing InterSystems Go tHE DIStance

InterSystems Go tHE DIStance is a next-generation care management solution aimed at helping health plans address rising unmanaged healthcare costs and declining quality ratings, particularly in chronic condition management like diabetes. The platform integrates rich, real-time clinical data (rather than relying solely on delayed claims data) into interactive views that can track HEDIS performance, identify care gaps, and support targeted, personalized outreach through built-in communication tools. Care managers can access a unified clinical record, engagement history, and recommended next actions to improve both individual patient outcomes and broader population health.

Presenters:
🗣 @Jess Jowdy, Manager of Healthcare Sales Engineering, InterSystems
🗣 @Jimmy Carney, Team Lead of Emerging Markets & SMB Sales Engineering, InterSystems
🗣 @Clayton Lewis, Senior Technical Specialist, InterSystems

https://www.youtube.com/embed/j54iH6UVW8g
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The August Article Bounty on the Global Masters article caught my attention, and one of the proposed topics sounded quite interesting in regard to its future use in my teaching. So, here's what I'd like to tell my students about tables in IRIS and how they correlate with the object model.

First of all, InterSystems IRIS boasts a unified data model. This means that when you work with data, you are not locked into a single paradigm. The same data can be accessed and manipulated as a traditional SQL table, as a native object, or even as a multidimensional array (a global). It means that when you create an SQL table, IRIS automatically creates a corresponding object class. When you define an object class, IRIS automatically makes it available as an SQL table. The data itself is stored only once in IRIS's efficient multidimensional storage engine. The SQL engine and the object engine are simply different "lenses" to view and work with the same data.

First, let's look at the correlation between the relational model and the object model:

Relational Object
Table Class
Column Property
Row Object
Primary key Object Identifier

It's not always a 1:1 correlation, as you may have several tables represent one class, for example. But it's a general rule of thumb.

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Over the years, I’ve noticed that certain SQL questions come up repeatedly on the InterSystems Developer Community, especially about using the LIKE predicate in different contexts. Common variations include:

and many more derivatives. So, I decided to write an article that focuses on how LIKE works in InterSystems IRIS SQL, especially when used with variables in Embedded SQL, Dynamic SQL, and Class Queries, while touching on pattern escaping and special character searches.

First of all, I'd like to mention that InterSystems IRIS SQL offers most of the capabilities available in other relational DBMS that implement a later version of the SQL standard. But at the same time, it's important to mention that apart from relational access, in IRIS you can also use other models to get the same data, for example, object or document models.

On this note, let's look at the LIKE predicate and how this tool is used in SQL for pattern matching.

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In the Caché database, when calculating the total count based on the unique identifier of a record, the quantity is over 1.2 million. After removing duplicates based on the unique identifier and then calculating the total count, the quantity is over 400,000. When grouping by the unique identifier, it can be observed that the count for this identifier is not one. However, when performing a conditional query based on the identifier, only one record can be retrieved. Why is this the case?

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Dynamic Entities (objects and arrays) in IRIS are incredibly useful in situations where you are having to transform JSON data into an Object Model for storage to the database, such as in REST API endpoints hosted within IRIS. This is because these dynamic objects and arrays can easily serve as a point of conversion from one data structure to the other.

Dynamic Objects

Dynamic Objects are very similar to the standard ObjectScript object model you get when you create a new instance of a class object, but with some key differences:

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Is there a way to Remove specific all Addresses from a Provider.Individual.Address before reinserting the Addresses from an HL7 message in Provider Directory?

Most fields we can call %clearFields() however since Addresses come from multiple locations we need to isolate and treat Addresses from this HL7 source as a snapshot.

Thanks

Scott

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