Introduction

Since InterSystems has recently announced the discontinuation of support for InterSystems Studio starting from version 2023.2 in favor of exclusive development of extensions for the Visual Studio Code (VSC) IDE, believing that the latter offers a superior experience compared to Studio, many of us developers have switched or are beginning to use VSC. Many may have wondered how to open the Terminal to perform operations, as VSC does not have an Output panel like Studio did, nor an integrated feature to open the IRIS terminal, except by downloading the plugins developed by InterSystems.

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Hello everybody,

I would like to export project contents using Visual Studio Code, as well as I do with InterSystems Studio.

However, while attempting the export through the InterSystems extension I get the following error:

- There are no folders in the current workspace that code can be exported to.

These are the step to reproduce my error:

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Hi Community,

It seems our Developer Community AI has decided to take a coffee break ☕️ (probably after answering one too many tricky ObjectScript questions).

The importance of the coffee break

For now, it’s gone mysteriously silent and refuses to generate answers. We suspect it might be rethinking its life choices after reading one too many deeply philosophical ObjectScript questions.

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Hi,

It's me again😁, recently I am working on generating some fake patient data for testing purpose with the help of Chat-GPT by using Python. And, at the same time I would like to share my learning curve.😑

1st of all for building a custom REST api service is easy by extending the %CSP.REST

Creating a REST Service Manually

Let's Start !😂

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I know the next ones:

1. Place all different settings in environment variables. You have a different .env file for each environment, and you must add some code to Production for reading and setting these values. It's good for deploying into containers, but challenging for management when we have a large production. I mean, we have many settings that can vary depending on the environment: active flag, pool size, timeouts, and so on. Not only endpoints.

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Introduction

In my previous article, I introduced the FHIR Data Explorer, a proof-of-concept application that connects InterSystems IRIS, Python, and Ollama to enable semantic search and visualization over healthcare data in FHIR format, a project currently participating in the InterSystems External Language Contest.

In this follow-up, we’ll see how I integrated Ollama for generating patient history summaries directly from structured FHIR data stored in IRIS, using lightweight local language models (LLMs) such as Llama 3.2:1B or Gemma 2:2B.

The goal was to build a completely local AI pipeline that can extract, format, and narrate patient histories while keeping data private and under full control.

All patient data used in this demo comes from FHIR bundles, which were parsed and loaded into IRIS via the IRIStool module. This approach makes it straightforward to query, transform, and vectorize healthcare data using familiar pandas operations in Python. If you’re curious about how I built this integration, check out my previous article Building a FHIR Vector Repository with InterSystems IRIS and Python through the IRIStool module.

Both IRIStool and FHIR Data Explorer are available on the InterSystems Open Exchange — and part of my contest submissions. If you find them useful, please consider voting for them!

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Introduction

In a previous article, I presented the IRIStool module, which seamlessly integrates the pandas Python library with the IRIS database. Now, I'm explaining how we can use IRIStool to leverage InterSystems IRIS as a foundation for intelligent, semantic search over healthcare data in FHIR format.

This article covers what I did to create the database for another of my projects, the FHIR Data Explorer. Both projects are candidates in the current InterSystems contest, so please vote for them if you find them useful.

You can find them at the Open Exchange:

In this article we'll cover:

  • Connecting to InterSystems IRIS database through Python
  • Creating a FHIR-ready database schema
  • Importing FHIR data with vector embeddings for semantic search

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With the rapid adoption of telemedicine, remote consultations, and digital dictation, healthcare professionals are communicating more through voice than ever before. Patients engaging in virtual conversations generate vast amounts of unstructured audio data, so how can clinicians or administrators search and extract information from hours of voice recordings?

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Hey Community,

The InterSystems team put on our monthly Developer Meetup with a triumphant return to CIC's Venture Café, the crowd including both new and familiar faces. Despite the shakeup in both location and topic, we had a full house of folks ready to listen, learn, and have discussions about health tech innovation!

https://www.youtube.com/embed/-ER8dW6ZtQw
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Hi, Community!

🌤 Wondering about the potential benefits of moving to the cloud? Hear from our experts about:

Considerations for Adopting Health Connect Cloud

https://www.youtube.com/embed/d1u2ouDxKjs?utm_source=youtube&utm_medium=social&utm_campaign=d1u2ouDxKjs
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Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

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Dear Developers,

InterSystems has two GitHub organizations, and each serves a different purpose. Here’s a quick guide to help you navigate them:


🔹 InterSystems GitHub (github.com/intersystems)

This is the official InterSystems organization on GitHub. Here you will find:

  • SDKs, libraries, and tools officially supported by InterSystems
  • Official connectors and APIs
  • Code samples and examples that demonstrate InterSystems technologies

👉 All repositories here are official and supported.

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You’ve probably already seen that the October Article Bounty is live on Global Masters! 🍁🚀

Submit a brand-new article on one of the announced topics and earn a bounty of 🏆 5,000 Global Masters points once it’s approved! 🎉

Here’s the list of October topics:

1. Comparison of when direct access via global is faster than access via class/SQL
2. A comparison matrix of connectivity methods to InterSystems IRIS to help developers choose the best option for their use case
3. Monitoring and Observability in InterSystems IRIS (with Dashboards & Tools) Guides
4. Beginner’s Guide: Using SQL in InterSystems IRIS
5. Unit Tests Tutorials
6. Practical code examples for ObjectScript Beginners
7. Securing Your InterSystems IRIS Deployment with SSL/TLS: Configuration Tips & Gotchas
8. Large Data handling
9. JSON transformations in DTL (Data Transformation Language)
10. Working with Stream Objects in InterSystems IRIS
11. Best Practices for Data Migration in InterSystems IRIS (Guide / Tips)

Rules to follow:

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For historic reasons we've got a mix of ADT feeds coming out of our PAS (TrakCare) to a wide range of downstream systems. In particular, there are some that are direct from TrakCare to the downstream systems, and many more that pass through Ensemble as our integration engine.

This is complicating management of the integrations, and so we'd like everything to go through the integration engine. In other words move from the flow in the top of the diagram to the flow in the bottom of the diagram:

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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

Before the Lightbulb: Understanding the First Phase of the AI Revolution in Medicine

https://www.youtube.com/embed/CPyoUqi-i-o
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Table of Contents

  1. Purpose of the article
  2. What containers are and why they make sense with IRIS
     2.1 Containers and images in a nutshell
     2.2 Why containers are useful for developers
     2.3 Why IRIS works well with Docker
  3. Prerequisites
  4. Installing the InterSystems IRIS image
     4.1 Using Docker Hub
     4.2 Pulling the image
  5. Running the InterSystems IRIS image
     5.1 Starting an IRIS container
     5.2 Checking container status
     5.3 Executing code in the container terminal
     5.4 Accessing the IRIS Management Portal
     5.5 Connecting the container to VS Code
     5.6 Stopping or removing the container
     5.7 Setting a specific password with a bind mount
     5.8 Using durable %SYS volumes
      5.8.1 What gets stored with durable %SYS
      5.8.2 How to enable durable %SYS
  6. Using Docker Compose
     6.1 Docker Compose example
     6.2 Running Docker Compose
  7. Using a Dockerfile to run custom source code
     7.1 Dockerfile example
     7.2 Docker Compose example
     7.3 Understanding layers, image tagging and build vs. run time
     7.4 Source code and init script
     7.5 Building the image with Dockerfile
     7.6 Running instructions in the containerized IRIS terminal
  8. Conclusion and what’s next

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Hi Team,

Can I please check if anyone has built a simple web interface for maintaining custom SQL lookup class.

We have a simple persistent class in HealthShare which is used for storing Pathology test codes. Test codes in this lookup class is used for message filtering and applying additional logic when processing pathology results/orders.

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A step by step implementation path to a cross regional stretched IrisCluster with Mirroring using the Intersystems Kubernetes Operator (IKO), Google Cloud Platform, and Tailscale.

I am giving this distraction the code name "Compliment Sandwich" for a reason yet to be realized, but I'd rather the community go right for the jugular shooting holes in a solution that implements wireguard based connectivity for our workloads in general, as I would like to refine it as a fall project leading up to KubeCon in Atlanta and if I miss the mark, Ill get it done before Amsterdam.

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Article
· Sep 16 14m read
High Availability IAM

One of the recommendations when deploying InterSystems Technologies for production is to set up High Availability. The recommended API Manager for these InterSystems Technologies is the InterSystems API Manager (IAM). IAM (essentially Kong Gateway) has multiple deployment topologies.

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It’s time to bring some spotlight to the authors and participants of our September Article Bounty! A big thank-you to everyone who took part💙

Special shout-out to those who took the time to write brand-new articles and share their expertise (each received 5,000 points 🎉):

@Robert Cemper >> "IRIS in Docker for beginners"
@sween >> "IKO Plus: Stretched Cross Regional IrisCluster with Tailscale on Google Cloud Platform"
@Ariel Glikman >> "High Availability IAM"
@Pietro Di Leo >> "Running InterSystems IRIS with Docker: A Step-by-Step Guide - Part 1: From the Basics to Custom Dockerfile"
@Guilherme Tonelotti >> "Create a JDBC connection with Mysql Cache"
@Vachan C Rannore >> "From "Oops" to "Aha!" - Avoiding Beginner Mistakes in ObjectScript"

And also to those who joined the challenge and helped us in the search for interesting articles (each received 30 points 🙌):

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