Smart Discharge Navigator: An AI Agent for Hospital Readmission Risk — Built on IRIS for Health

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.

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

In the previous article, we used pyprod to create production components while relying on the UI for production configuration. That same production can now be defined entirely in Python:

from intersystems_pyprod import Production, ServiceItem, ProcessItem, OperationItem

iris_package_name = "HelloWorld"

class MyProduction(Production):
    services = [
        ServiceItem(
            "MyServiceName",
            "HelloWorld.MyService",
            host_settings={"target": "MyProcessName"},
        )
    ]
    processes = [
        ProcessItem(
            "MyProcessName",
            "HelloWorld.MyProcess",
            host_settings={"target": "MyOperationName"},
        )
    ]
    operations = [
        OperationItem("MyOperationName", "HelloWorld.MyOperation")
    ]

Hello everyone,

The InterSystems Learning Services Certification Team is pleased to announce the release of the HealthShare Unified Care Record Deployment Specialist Certification exam. The exam is now available for purchase and scheduling in the InterSystems exam catalog.

In the previous IoP article, I showed how IoP can expose Python messages to DTL by generating JSON schemas. That is useful when the message is primarily a Python object and we want the IRIS tooling to understand its structure.

This time, the direction is a little different.

Starting with IoP 3.7.1, a PersistentMessage can now be a native IRIS message body class. The Python class is still the source code you write, but the generated IRIS class extends Ens.MessageBody

We have a long running InterSystems Engine with an Interface Development Team.  We have implemented basic interface and code development processes using mostly manually created helper tasks and functions.
We are looking to upgrade these processes by installing and starting to use Embedded GIT in our DEV spaces first.  We will not use it to deploy changes to PRODUCTION at first, keeping our same current process that the team is very comfortable with.  
We plan to start by using the BASIC mode in GIT, to avoid confusion over multiple branches and other version control functions.

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:

• Implement suggested task - 5
• InterSystems FHIR Server usage - 2
• Vector Search usage - 4
• Embedded Python - 3
• LLM AI or LangChain usage: Chat GPT, Bard, and others - 3
• Docker container usage - 2 
• ZPM Package deployment - 2
• Online Demo - 2
• Implement InterSystems Community Idea - 4
• Find a bug in Vector Search or Embedded Python - 2
• First Article on Developer Community - 2
• Second Article On DC - 1
• First Time Contribution - 3
• Video on YouTube - 3

Hi Community,

Interoperability metrics were enabled for a production using ##class(Ens.Util.Statistics).EnableSAMForNamespace(). However, after running DisableSAMForNamespace() and DisableStatsForProduction(), the metrics continue to appear in the endpoint output.

Is there a way to completely stop these interoperability metrics from displaying in the API metrics stream? Is there an additional step or cache clear required?

 I’m looking for recommendations to improve interoperability performance in InterSystems IRIS, especially when handling large volumes of HL7 or healthcare-related messages.

What are the best practices for optimizing productions, business services, operations, and message processing performance? I’d also like to know if there are recommended monitoring tools or settings commonly used in production environments.

Hello Community!

We’re excited to invite you to our upcoming Hebrew webinar, presented by @Keren Skubach, an InterSystems Senior Sales Engineer:

👉A Practical Guide to Leveraging AWS Adapters and APIs 👈

📅 Date & time: June 2nd, 3:00 PM IDT

Discover how to accelerate cloud-based integration with InterSystems' native AWS adapters for S3, SQS, SNS, and CloudWatch.

This session provides a practical look at building modern interoperability workflows — from secure file ingestion and asynchronous messaging to automated notifications and centralized monitoring.

1. VS Code version 1.60.0 and above

2. install below 3 extensions

   

3. Ctrl + Shift + P show all commands

4. InterSystems: Connect to Server

5. input connection details 

   IP：localhost

        Port: 52773

       choose global & http connection method

       Input username and password of Intersystems management portal

       screenshot for success connection:

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.