Thank you community for translating an earlier article into Portuguese.
Am returning the favor with a new release of Pattern Match Workbench demo app.

Added support for Portuguese.

The labels, buttons, feedback messages and help-text for user interface are updated.

Pattern Descriptions can be requested for the new language.

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Hey Community!

Here's the recap of the final half-day of the InterSystems Ready 2025! It was the last chance to see everyone and say farewell until next time.

It was a warm and energetic closing, with great conversations, smiles, and unforgettable memories!


The final Ready 2025 moment with our amazing team!

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Hi Community,

While writing an article yesterday, I realized I was so busy with people who came to the Developer Community table at the Tech Exchange that I forgot to take photos for you. Luckily, I realized the error of my ways and corrected my behavior accordingly 😉

So, let's look at what happened on Tuesday at the InterSystems Ready 2025! It began with a speech of Scott Gnau about the approach and architecture of InterSystems Data Platform and how it is different from all other DBMSs:

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Hi Community!

I'm super excited to be your on-the-ground reporter for the biggest developer event of the year - InterSystems Ready 2025!

As you may know from previous years, our global summits are always exciting, exhilarating, and packed with valuable knowledge, innovative ideas, and exciting news from InterSystems. This year is no different. But let's not get ahead of ourselves and start from the beginning.

Pre-summit day was, as usual, filled with fun and educational experiences. Those who enjoy playing golf (I among them) got up at the crack of dawn to tee off before the sun got too high up. Here's our dream team in action:

@sween, @Mark Bolinsky, @Anzelem Sanyatwe, @Iryna Mykhailova

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Introduction

InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.

In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:

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Among the many voices that shape the InterSystems Developer Community, some stand out not only for their knowledge but for their consistency, curiosity, and passion. One of those voices belongs to @Dmitry Maslennikov, a long-time member whose experience spans nearly two decades and who continues to innovate and inspire developers around the globe.

🤩 Let's take a look at Dmitry’s deep-rooted journey with InterSystems and his lasting impact on our Community...

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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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Article
· Jun 18 2m read
Options for Python Devs + Poll!

I am writing this post primarily to gather an informal consensus on how developers are using Python in conjunction with IRIS, so please respond to the poll at the end of this article! In the body of the article, I'll give some background on each choice provided, as well as the advantages for each, but feel free to skim over it and just respond to the poll.

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My intention is to show how simple it is to generate a lookup table taking into account the information received in our HL7 messaging. The HL7 message lookup table provided by IRIS is certainly sufficient for most of the searches we want to perform, but we always have that special field in our HIS, LIS, RIS, etc. that we'd like to search by. But that's in a segment outside of that lookup table. That field forces us to generate a specific search using the expanded search criteria.

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Digital health solution providers face increasing pressure to integrate complex health data systems while ensuring scalability, security, and compliance with standards like HL7 FHIR. Fast Healthcare Interoperability Resources (FHIR) has revolutionized health data exchange by offering a standardized framework that allows diverse health IT systems to communicate effortlessly. But simply adhering to FHIR standards isn’t enough to overcome the intricacies of health data integration. Solution partners must leverage advanced architectural components like FHIR brokers, façades, and repositories to build scalable and efficient solutions. InterSystems offers all the essential features you need to implement FHIR for your health data, whether on-premises, in a public cloud, or as a cloud-based service managed by InterSystems.

Medical Science Hospital Lab Meeting healthcare

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If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation.

Take this example:

SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date
FROM dual
CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1);

In Oracle:

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IRIS supports CCDA and FHIR transformations out-of-the-box, yet the ability to access and view those features requires considerable setup time and product knowledge. The IRIS Interop DevTools application was designed to bridge that gap, allowing implementers to immediately jump in and view the built-in transformation capabilities of the product.

In addition to the IRIS XML, XPath, and CCDA Transformation environment, the Interop DevTools package now provides:

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Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.

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Have you ever needed to change an IP or port before deploying an interface to production? Needed to remove items from an export? What about modifying the value(s) in a lookup table before deploying? Have you wanted to disable an interface before deploying? What about adding a comment, category, or alert setting to an interface before deploying to production?

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Template engines are essential for producing customizable dynamic content, without the need for compilation and opening up great possibilities of extensibility for the template user. Especially if the template engine supports Python. A popular solution for template engine is Mko. It is is a template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi.

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Article
· May 29 8m read
Integrate with Google Forms

Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.

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Hi Community,

In this article, I will introduce my application iris-fhir-bridge

IRIS-FHIR-Bridge is a robust interoperability engine built on InterSystems IRIS for Health, designed to transform healthcare data across multiple formats into FHIR and vice versa. It leverages the InterSystems FHIR Object Model (HS.FHIRModel.R4.*) to enable smooth data standardization and exchange across modern and legacy healthcare systems.

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