Contest tag unites posts that are related to any coding competition taking place on InterSystems Developer Community.
Hi Community,
It's time to announce the winners of the InterSystems Programming Contest: AI Agents for FHIR!
A big thank you to our 18 fellow members who built
This competition received impressive submissions, each reflecting innovation and creative thinking. With so many strong entries, selecting the best was a true challenge.
Let's meet the winners and look at their projects:
Every clinic visit starts the same way: a patient sits in a waiting room holding a clipboard, answering the same questions they'll be asked again ten minutes later — while the clinician walks in cold, with no idea whether the next case is a sore throat or a heart attack in progress.
That gap: between what the patient knows and what the clinician sees — is what Triage Park closes. It's our entry for the InterSystems Programming Contest: AI Agents for FHIR.
We are happy to present the bonuses page for the applications submitted to the InterSystems Programming Contest: AI Agents for FHIR
See the results below.
FHIR Patient Snapshot Agent is a small open-source application built for the InterSystems AI Agents and FHIR Programming Contest.
The project implements the suggested Smart Patient Summary Generator idea: it retrieves structured FHIR resources for a selected patient and generates a concise, role-specific patient summary.
The goal is not to diagnose or recommend treatment.
Hi Community,
It's voting time! Cast your votes for the best applications in our InterSystems Programming Contest: AI Agents for FHIR:
Voting period: June 8 to June 14, 2026
How to vote? Details below.
Hi Community,
In this article, I will introduce my application iris-fhir-agents A multi-agent clinical AI platform powered by InterSystems IRIS for Health. Features agents for triage, specialist consultation, pharmacy safety, and FHIR server exploration — all grounded by IRIS Vector Search RAG. Includes a no-code Agent Builder that lets you design and deploy custom clinical agents without writing a single line of code.
Most "AI agent + FHIR" projects end up with the same shape: a FHIR server over here, a vector database over there, and a Python service in the middle whose job is to call an embedding API, marshal float arrays back and forth, and keep two datastores in sync. Three moving parts, two network hops, and an embedding client you now own forever.
Triage Park: our entry for the InterSystems Programming Contest: AI Agents for FHIR, doesn't have any of that. The agent never computes an embedding. It never imports an OpenAI embeddings client. There is no vector database.
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
Hospital readmissions cost the US healthcare system $17 billion annually. A significant portion of those readmissions are preventable — but only if the right information reaches the right clinician at the right moment: at discharge.
That's the problem I set out to solve with Smart Discharge Navigator, my entry for the InterSystems Programming Contest: AI Agents for FHIR 2026.
An engineering walkthrough of the IRIS-CardioFlow project architecture with real code for its AI, FHIR, and connectivity layers and the role of iris-agentic-dev in a modern ObjectScript workflow.
Monitoring cardiovascular surgical flow in real time is a classic healthcare integration problem: data arrives from heterogeneous sources, must be persisted with clinical semantics, exposed through an API, and presented in a way the care team can act on. The CardioIris repository (internally named IRIS-CardioFlow) is a lean demonstration of that scenario, built on InterSystems IRIS 2026.
Hi Community,
Have you ever wished your EHR could think? Not just display data. Not just fire alerts. But actually read a patient record, reason over clinical guidelines, and write a structured referral order back to the system — in response to a single message from a clinician
In this article, I am going to show you how to create your own custom clinical AI agent.
iris-fhir-agents is a multi-agent clinical AI platform built entirely on InterSystems IRIS for Health.
When I started building Smart Discharge Navigator, I faced a common challenge: FHIR data is stored as JSON bundles, but the analysis I needed required joining multiple resources together, the kind of thing SQL was built for.
InterSystems FHIR SQL Builder solved this completely. Instead of parsing JSON bundles in application code, I was able to write plain SQL directly against FHIR resource projections inside IRIS for Health. This article shows exactly how I used it to build the population-level readmission risk scoring engine at the heart of the application.
Hi Developers!
Here are the technology bonuses for the InterSystems Programming Contest: AI Agents for FHIR that will give you extra points in the voting:
Hey Community,
We're pleased to invite everyone to the upcoming Kick-off Webinar for InterSystems Programming Contest: AI Agents for FHIR!
Date & Time: Tuesday, May 26 – 12 pm EDT | 6 pm CEST
Hi Community,
We're super excited to announce the winner of the North American Demo Showcase raffle.
Over the last 6 weeks, we have explored an outstanding selection of 8 demo videos featuring cutting-edge technologies, AI-powered solutions, and innovative use cases. 18 members have joined the game, racking up a total of 53 raffle entries between them.
We'd like to thank all the participants who took the time to watch the videos and answer the questions!
Also, we're thankful to our Sales Engineers who have put together this impressive lineup filled with creativity and technical know-how.
And now it's time to see who the winner is!
Hi everyone! 👋
I’m excited to share the project I’ve submitted to the current InterSystems .Net, Java, Python, and JavaScript Contest — it’s called IRIStool and Data Manager, and you can find it on the InterSystems Open Exchange and on my GitHub page.
Hi Community!
It's time to celebrate our 18 fellow members who took part in the latest InterSystems Technical Article Contest and wrote
The competition brought together outstanding publications, each showcasing expertise and innovation. With so many high-quality submissions, selecting the best was a true challenge for the judges.
Let's meet the winners and look at their articles:
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...
I’m excited to share the project I’ve submitted to the current InterSystems .Net, Java, Python, and JavaScript Contest — it’s called FHIR Data Explorer with Hybrid Search and AI Summaries, and you can find it on the InterSystems Open Exchange and on my GitHub page.
Hey Community,
Here are the bonuses for participants' articles that take part in the InterSystems Technical Article Contest 2026:
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!
Many organizations that operate systems built on legacy technology stacks are facing significant support and maintenance complexities. They are eager to modernize, but the transition is usually prohibitively complex and expensive. These challenges apply to virtually any legacy tech, while InterSystems-based systems have their own unique nuances.
Key modernization challenges include:
Hey Community,
We’re launching a new initiative in which ideas from the Ideas Portal become real applications on Open Exchange, and their authors are rewarded through Global Masters:
💡 Community Bounty Program “Idea to Application” ⚙️
Hello to all the esteemed members of the InterSystems developer community in Spanish!
Although I often consult the developer community and have occasionally left a question here, this will be my first article, and what better occasion to do so than by participating in the 3rd technical article contest.
The topic I will cover in this article is the different tools that InterSystems IRIS provides us to optimize both the databases and the queries we run, as well as the new types of storage and data.
Hi Community,
It's time to announce the winners of the InterSystems Full Stack Contest!
Thanks to all our amazing participants who submitted 16 applications 🔥
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Now it's time to announce the winners!
We are happy to present the bonuses page for the applications submitted to the InterSystems "Full Stack Programming" Contest 2026
See the results below.
Hi Community,
It's voting time! Cast your votes for the best applications in our InterSystems Full Stack Contest:
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How to vote? Details below.
Picture a dark room. The only light comes from a wall of displays and a blinking prompt that politely informs you:
“LINK TO M-U5K-3T: HIGH LATENCY – DIRECT CONTROL DISABLED.”
Perfect.
You are supposed to be a Rover Commander in the Musketeer Corps. Somewhere absurdly far away, you have an autonomous unit parked on a hostile exoplanet. It wants you dead, but it’s also covered in minerals that could fund a small civilization.
The ore on M-U5K-3T is everywhere. Unfortunately, everything else on the surface is actively trying to kill you.
So, we don't pilot. We script.
In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.
I created iris-budget app for the InterSystems Full Stack Contest in 2026. By full stack, we mean a frontend web or mobile application that inserts, updates, or deletes data in InterSystems IRIS via REST API, Native API, ODBC/JDBC, or Embedded Python.
My app uses multiple REST APIs to add a new category or retrieve a list of categories of expenses and income.
I inherited /csp/coffee from module.xml in iris-fullstack-template.
For this project, I created a swagger file called "budget.json.