Hi everyone,

I’m thrilled to share that after several years of deep diving into the InterSystems IRIS data platform, I have finally summarized my project experiences into a new book IRIS (Data Platform) Programming Technical Guide. It is published by Beihang University Press, a prestigious central-level comprehensive publisher renowned for its leading role in aerospace, science, and technology publishing.

Writing this book was a significant engineering challenge for me. My goal was to bridge the gap between "understanding the syntax" and "building a production-ready project.

Hi Community,

In our two preceding articles, we explored the fundamentals of the Interoperability Embedded Python (IoP) framework, including message handling, production setup, and Python-based business components.

In this third piece, we will examine advanced methodologies and practical patterns within the IoP framework that are pivotal for real-world interoperability implementations.
We will explore the following topics: 

✅ DTL (Data Transformation Language) in IoP
✅ JSON Schema Support
✅ Effective Debugging Techniques

Collectively, these features help us create maintainable, validated, and easily troubleshootable production-grade interoperability solutions.

Data privacy regulations such as GDPR, LGPD, and HIPAA demand that organizations know exactly where Personally Identifiable Information (PII) lives inside their databases. Yet in practice, most teams rely on manual inventories, tribal knowledge, or external scanning tools that require data to leave the database engine — a process that itself creates privacy and security risks.

This article presents an MVP that takes a different approach: it runs PII detection inside InterSystems IRIS using Embedded Python, analyzing data where it lives and never exporting it to an external process.

Introduction

In healthcare interoperability environments, InterSystems Health Connect typically contains critical components such as productions, business processes, operations, services, utility classes, routines, and other ObjectScript artifacts. Traditionally, many deployments of these components have been done manually, by copying classes, importing XML, or using administrative tools from the management portal.

For those of you that weren't at READY last week, you may have missed the exciting announcement that the Early Access Program for AI Hub is officially open. It was announced during an amazing demo from @Benjamin De Boe and @Jeff Fried, I recommend catching up with this demo when the recording is released!  I had the opportunity to play with AI Hub in advance, and thought I might share an introduction with the community.

In v2026.2 (currently available as a Developer Preview), we are adding a feature that can help in a FHIR Endpoint SMART/OAuth authorization - more out-of-the-box flexibility in audience value validation.

A very important feature for HL7 FHIR has been introduced with the release of v2026.1 - the support for SMART on FHIR v2 fine-grained granular Scopes.

This enables you to be much stricter and more accurate in the access you provide to the data in your FHIR repository.

Part of this new support is to refuse requests that don't match the scopes, but an even more interesting ability is to filter the results according to the provided scopes.

Hi Community,

Take a look at these new videos in online learning, and get familiar with new features and interfaces in the latest release of InterSystems® products. All videos are also available in the Learning Services YouTube channel.

Plus, check out a video for new ObjectScript developers, and a guide for HealthShare® users upgrading their deployments.

• Goal: Learn about enhancements to the interoperability UI in version 2026.1 of InterSystems products.

Table Partitioning Demo

This demo walks you through the new Table Partitioning feature in IRIS SQL, explaining what it does and how it works along the way. We'll only use a few dozen rows to prove the concept, but obviously the capability is focused on datasets many orders of magnitude larger.

If you'd like a shorter, higher-level introduction to Table Partitioning, check out the online learning module Managing Tables with Partitioning in InterSystems IRIS

ℹ️ Table Partitioning is included in IRIS 2026.1 as an experimental feature

Introduction
InterSystems IRIS Adaptive Analytics is an optional extension that provides a business-oriented, virtual data model layer between InterSystems IRIS and popular Business Intelligence (BI) and Artificial Intelligence (AI) client tools. Adaptive Analytics is powered by AtScale, the AtScale documentation can be found at this link: https://documentation.intersystems.atscale.com

This article will showcase some AtScale features that can facilitate data analysis:

1. Cube creation
2. Excel visualization
3. Parallel Period
4. Queries
5. Snowflake
6. Security

7. Aggregates

Hi, every one. Again, it's me!!😀😀

Recently I was trying to organize some learning materials for InterSystems IRIS😆, and realized that the resources are actually quite scattered.🤐

So I put together a list here—grouped by categories—for anyone who:

• is new to InterSystems
• or wants to go deeper into specific areas

Also adding some of my own experience on what worked (and what didn’t, may be only not work for me🤫🤐).

1. For starters

If you don’t know where to begin, start here:

• https://developer.intersystems.com/
• https://developer.intersystems.com/resources/
• https://developer.intersystems.com/intersystems-iris-getting-started/

Claude Code has a strong understanding of IRIS, but unexpected issues still occur.

The first issue is one that has already happened several times and is likely to continue occurring if not properly addressed.

In IRIS, the collation for string data (%String) is set to SQLUPPER by default. As a result, when data is retrieved via SQL, it may be returned in uppercase (for example, when sorting and aggregating with GROUP BY).

Since I started using Claude Code, my motivation to create things has skyrocketed.

Previously, even if I wanted to build something, actually doing the coding felt like a hassle, so unless there was a very strong need, I rarely went as far as programming. But now, if I just jot down the specifications, Claude Code handles the rest automatically, resulting in a dramatic improvement in productivity.

I come from a generation native to ObjectScript, so I used to feel some hesitation when it came to switching to Python.

This time, it’s not really programming per se, but we are using React as a front-end development tool for IRIS. When using a web development framework—not limited to React—one key consideration is which CSS framework to use. Up until now, we’ve been using Bootstrap, which is the standard and the easiest to get started with.

However, while it’s easy to use, I felt that it offers limited flexibility for customization. That said, even if we were to switch to another CSS framework, learning it and rewriting everything from scratch would be a significant effort, so we left things as they were.

Is your source control treating your InterSystems IRIS environment like a simple collection of files? Most source control tools lack the native intelligence to handle InterSystems IRIS, which is why your code is treated as such. 

Deltanji is different. It understands how code and other artifacts are stored within IRIS and can manage them directly. This eliminates the friction that other tools introduce to the process. 

Join us for an InterSystems-hosted webinar to see how Deltanji provides an enterprise-grade source control solution that is tightly integrated with your IRIS environment.

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.