At READY 2026, for the very first time, we held a customer hackathon — and it was an amazing experience!
The hackathon took place on the pre-event day at 9 am. Some participants, like me, arrived early due to jet lag—but that actually helped us connect with fellow hackers before the event kicked off.
 

The Beginning

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.

This article presents a straightforward approach to automatically and efficiently tune hyperparameters for machine learning models using Optuna as the optimisation framework. We explore how to use both Optuna’s native storage options and InterSystems IRIS as a database backend to track the progress of hyperparameter searches. We also show how MLflow can be used to monitor experiments and manage models through its tracking and model registry UI.

This article is based on this Kaggle Notebook, which you can run and directly edit yourself.

When managing critical healthcare data through an integration engine you want to know the moment a queue starts backing up or a service drops. 

Unfortunately, this usually leads to an email inbox stuffed full of notifications that can sometimes seem impossible to maintain.

Well, I’ve not solved that problem. 

But I have created something that could help...

Key Responsibilities & Requirements

Core Infrastructure & Cloud Management

• Full-Stack Administration: Maintain and optimize both Linux (Ubuntu/RHEL) and Windows Server environments.
• Cloud Orchestration: Take full ownership of VM cloud infrastructure, including provisioning, health monitoring, backup and resource scaling.
• Policy Governance: Design and enforce comprehensive SysAdmin and Deployment policies (CI/CD pipelines, automated provisioning, and security hardening).

InterSystems Database Administration

• Platform Expertise: Expert-level administration of both InterSystems IRIS and Caché.

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ AI Assistants for the Unified Care Record Powered by Gemini

In this demo, you will see how Gemini works directly with FHIR data, and how it leverages the harmonized dataset provided by InterSystems Unified Care Record. It also showcases multiple AI assistants helping multiple groups of users, e.g. clinicians, patients.

🗣 Presenter: @Simon Sha, Sales Architect at InterSystems

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.

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ Triage Chatbot

We are using IRIS for Health to develop an agentic AI chatbot workflow that can interact with a patient using voice commands, reach out to an EHR or other system for context, and provide recommendations back.

Presenters: 
🗣 @Vic Sun, Sales Engineer at InterSystems 
🗣 @Brad Nissenbaum, Sales Engineer at InterSystems 
🗣 Danielle Micciantuono, Clinical Solutions Specialist at InterSystems

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ ExplantIQ: Ask Your Compliance Data Anything

ExplantIQ is an intelligent data application that tackles one of healthcare's most overlooked financial and regulatory risks: the management of explanted medical device warranty credits. When an implanted device is removed from a patient (due to failure or recall) hospitals are legally required to pursue manufacturer credits, refund payers if the credit exceeds 50% of the device's cost, and report to CMS. Miss that obligation and you're facing a reverse False Claims Act violation. Industry data shows hospitals miss 81% of eligible credits. 

ExplantIQ, built entirely on InterSystems IRIS for Health and DeepSee, solves this by unifying clinical, supply chain, billing, and FDA recall data into a single real-time compliance dashboard, complete with KPI scorecards, trend analytics, and a Text-to-SQL AI Assistant that lets compliance officers query live operational data in plain English. No separate BI tool. No additional architecture. All questions can be answered without leaving your browser tab.

Special thanks to @Emil Polakiewicz and @Boris Mamkin for their contributions. 

🗣 Presenter: @Alyssa Ross, Sales Engineer at InterSystems

Hi Developers,

We are happy to announce the new InterSystems online programming contest:

🏆 InterSystems Programming Contest: AI Agents for FHIR🏆

Duration: May 25 - June 14, 2026

Prize pool: $12,000

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ HL7 Validation Error Profiler: Rapid Insights into Batch HL7 Data Quality Issues

This demo highlights how HL7 validation logs can be transformed into scalable, actionable data quality insights using a lightweight application built on top of Health Connect.

• Batch ingestion and parsing of HL7 validation error logs into structured data
• Aggregation of errors by segment, field, and type to reveal systemic issues
• Interactive dashboard (Streamlit) for filtering, exploration, and root cause analysis
• Rapid identification of top error patterns across entire data feeds
• Natural language chatbot for intent-driven data investigation and querying
• PDF report generation for sharing clear, evidence-based feedback during data source onboarding 

Special thanks to @Henry Wojnicki for his contributions to designing and refining the application workflow.

🗣 Presenter: @Lynn Wu, Sales Engineer at InterSystems

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ Message Operational Data Store

Create an operational data store using the data flowing through your production. Create user-defined analytics tables based on fields and paths to their data from incoming documents with varying standards (FHIR, CDA, HL7v2, etc.).

Presenters: 
🗣 @Kwabena Ayim-Aboagye, Sales Engineer at InterSystems
🗣 @Christopher Carmichael, Sales Engineer at InterSystems
🗣 @Jeff Semmens, Senior Sales Engineer at InterSystems

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ Health Galaxy: AI-Enabling Healthcare Applications

Health Galaxy creates an AI access point on top of any FHIR server, bringing healthcare into the AI future that has become a reality for many other industries. 

• AI access: Health Galaxy gives AI agents a single gateway into any healthcare system, so they can pull patient data, schedule appointments, and check insurance automatically instead of a human doing it manually. 
• Ease of use: You point it at an existing FHIR endpoint, click a button, and it generates an MCP endpoint automatically from the capability statement. 
• FHIR: Since we are using FHIR, we can leverage both the storage and exchange capabilities of InterSystems IRIS.

🗣 Presenter: @Zelong Wang, Sales Engineer at InterSystems 

I have a daily service that consumes x number of files, each file name chronologically suffixed sequentially by _1, _2, etc. I only want to process the latest file.

How do I build a business rule so it will only process the last file?

InterSystems IRIS globals are one of the platform's core strengths: they store hierarchical data in a direct, ordered, and efficient structure. But when working from Python, manipulating globals can sometimes feel closer to a low-level API than to the natural habits of the language.

The iris-global-reference project provides a Python layer on top of IRIS globals. Its goal is simple: make access to globals more readable, more idiomatic, and easier to integrate into modern Python code, without hiding the underlying hierarchical model.

What was your READY experience like? 🎉
We’ve put together a bingo card — check out how many squares match your experience!

Mark the moments that happened to you or share them in the comments below.
And if you had a memorable READY moment that’s not on the card, tell us about it — we’d love to hear your story ✨

#North American Demo Showcase entry. 

>> Answer the question below to be entered in the raffle!

⏯️ AI-Assisted Rare and Complex Disease Detection

This demo shows how InterSystems Health Gateway can be used to pull in outside patient records from networks like Carequality, CommonWell, and eHealth Exchange, creating a more complete longitudinal view in a clinical viewer. That full record is then analyzed by AI to surface potential rare disease considerations with clear reasoning, helping clinicians see patterns they might otherwise miss.

Presenters: 
🗣 @Jesse Reffsin, Senior Sales Engineer at InterSystems
🗣 @Georgia Gans, Sales Engineer at InterSystems
🗣 @Annie Tong, Sales Engineer at InterSystems

What is wrong with the *inc file code below:

#define ArrayToString(%array,%out,%del)      set %out="" for { ##continue
                                                                                   set key=$order(%array("")) quit:key="" ##continue
                                                                                   set %out=%out_%del_key ##continue
                                                                               } quit

Compilation at calling classmethod as : Set tQStr = $$$ArrayToString(pQArray,tQStr,"##") brings error as:

Hi Community,

We have some exciting news! It's time for the next InterSystems writing competition:

✍️ InterSystems Technical Article Contest 2026 ✍️

Write an article on any topic related to the InterSystems products and services.

🎁 Gifts for everyone: A special gift for each author participating in the competition!

READY is right around the corner, and this year the Application Services team from InterSystems will be hosting a CCR Users GroupMeeting during the conference!This will be held Wednesday, April 29^th during breakfast from 7:30 – 8:30 (breakfast will be served at the meeting room starting at 7:00am).

I need to analyse and improve the performance on some old SQL statements.

One statement uses NVL in the WHERE clause (no wonder why it's slow) but I still have to improve the performance and the data really needs to be the same when returned.

SELECT *
FROM TOURHead, TOURFIND, SGNRFIND, TNRHead
WHERE TOURHead.cl = '123'
AND TOURHead.cl = TOURFIND.cl
AND TOURHead.TOURNR = TOURFIND.TOURNR
AND TOURFIND.cl =* SGNRFIND.cl
AND TOURFIND.SGNR    =* SGNRFIND.SGNR
AND TOURFIND.cl = TNRHead.cl
AND NVL(TOURFIND.TNR, SGNRFIND.TNR) = TNRHead.TNR;

Really hope someone can help me with this one.

I want to develop a REST API for uploading PDF files. I started with OPENAPI spec file. When I test, I get error 8727 referencing missing required parameter file.

"{"$c(13,10,9)"""errors"":[ {"$c(13,10,9,9,9)"""code"":8727,"$c(13,10,9,9,9)"""domain"":""%ObjectErrors"","$c(13,10,9,9,9)"""error"":""ERROR #8727: Parameter required: file."","$c(13,10,9,9,9)"""id"":""RESTRequired"","$c(13,10,9,9,9)"""params"":[""file"""$c(13,10,9,9,9)"]"$c(13,10,9,9)"}"$c(13,10,9)"],"$c(13,10,9)"""summary"":""ERROR #8727: Parameter required: file.

The recently published tutorial "Introduction to InterSystems Data Studio" inspired me to check out this product. And I think it’s an interesting look at how to manage a data fabric without deep-diving into complex code. It allows you to connect disparate data silos, transform the data through automated pipelines, and load it into a unified environment for analysis. So, I decided to write up an example of how you can use it. Basically, I'll walk you through the tutorial in case you don't have time to do it on your own. Though I would definitely suggest you actually follow the tutorial - it has lots of useful information.

To see how it works, I stepped into the shoes of a system administrator, logging in with the provided credentials to explore the interface. The layout centers on a few core pillars: defining where data comes from, cataloging its structure, and building automated "recipes" to move it into production.

And the very first step is to establish a connection to my data. 

Sorry for the weird question, but mumps skills are very rusty.

Am trying to create globals dynamically, but with using names from an array. For example: 

S Names="A,B,Y,Z"
S A=$L(Names,"$")
F I=1:1:A D
//Create globals based on names from database
//^A,  ^B,  ^Y, ^Z etc..  

Hi Everyone,

We are looking for a way to disable production Business Services concurrently so that the whole process takes shorter amount time than just going sequentially in a loop and disable them one at a time (very slow). This is necessary for us to be able to stop all traffic to IRIS so that no data remains after we perform full production stop. 

Thank you!