I know that people who are completely new to VS Code, Git, Docker, FHIR, and other tools can sometimes struggle with setting up the environment. So I decided to write an article that walks through the entire setup process step by step to make it easier to get started.

I’d really appreciate it if you could leave a comment at the end - let me know if the instructions were clear, if anything was missing, or if there’s anything else you'd find helpful.

The setup includes:

✅ VS Code – Code editor
✅ Git – Version control system
✅ Docker – Runs an instance of IRIS for Health Community
✅ VS Code REST Client Extension – For running FHIR API queries
✅ Python – For writing FHIR-based scripts
✅ Jupyter Notebooks – For AI and FHIR assignments

Before you begin: Ensure you have administrator privileges on your system.

In addition to reading the guide, you can also follow the steps in the videos:

For Windows

https://www.youtube.com/embed/IyvuHbxCwCY
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

An experiment on how to use the LangChain framework, IRIS Vector Search, and LLMs to generate IRIS-compatible SQL from user prompts.

This article was based in this notebook. You can run it with a ready to use environment with this application in OpenExchange.

Setup

First, we need to install the necessary libraries:

There is a list of numbers from 1 to 190.

AllList="1,2,3,4,5,6,7,8,9,.....,187,188,189,190"

There is a collection of sets of these values:

List(1)="3,5,6,7,9"
List(2)="1,2,6,9"
List(3)="5,8,9"
List(4)="2,4,6,8"
List(5)="4,7,9"

What is an elegant approach in Object Script to pick the least number of list items:

• List(1)
• List(5)
• List(n)

That together would cover as many numbers as possible from the AllList.

Interested in best coverage over efficiency.

Hello

We are pretty new to Ensemble and we are considering on using a default setup for our production. Let me explain the situation. We have one sender that sends HL7 ADT messages to our system. We have 60+ other systems that need to recieve ADT messages. We where thinking on a few ways on how to do the setup.

Setup1:

I need to remove multiple languages from the language selection drop down which appears at top of Navigation app top bar. I need to keep only English.

Is there any way I can do that?

Or I can completly remove the language option?

Hello,

Our software commonly returns a full result set to the client and we use the DataTables plugin to display table data. This has worked well, but at datasets grow larger, we are trying to move some of these requests server-side so the server handles the bulk of the work rather than the client. This has had me scratching my head in so many ways.

I'm hoping I can get a mix of general best practice advice but also maybe some IRIS specific ideas.

Some background

I ask ChatGPT periodically to produce ObjectScript or plain MUMPS code for string manipulation, or for implementing known algorithms etc. Occasionally, it does make mistakes or uses non-existing class members but generally not that bad. Is there any tutorial on the subject of using AI for coding, ideally specifically for ObjectScript/MUMPS? Any AI productivity advice, or tricks you are using, or another AI flavor?

Thanks in advance,
Anna

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Integrating DBT and Apache Airflow with InterSystems IRIS @ Global Summit 2024

https://www.youtube.com/embed/tFHSoqZpA88
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

InterSystems ObjectScript extension for VS Code, version 3.0.1

Am also asking this question on the extension's GitHub page: Request textDocument/documentSymbol failed. Error: name must not be falsy · intersystems-community/vscode-objectscript · Discussion #1530 - but suspect more eyes will see it here, which might help gather additional information.

Hi Guys,

Hello,

One of our clients has a 'Notes' class with over 3 million records. We have a report that pulls data from this table that was taking about an hour to run. Our test environment (which has a copy of the production database) runs the same report query in 1 second.

We attempted to purge and rebuild indices which made an improvement (down to 15 minutes) but still not great.

Hi Community,

We're happy to announce that registration for the event of the year — InterSystems Ready 2025 — is now open. This is the Global Summit we all know and love, but with a new name!

➡️ InterSystems Ready 2025

🗓 Dates: June 22-25, 2025

📍 Location: Signia Hilton Bonnet Creek, Orlando, FL, USA

Hi Community,

Let's meet at the online meetup with the winners of the AI Programming Contest: Vector Search, GenAI and AI Agents! It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, April 10, 12:00 pm EDT | 6:00 pm CEST

https://www.youtube.com/embed/wRuuKtYSU74?si=v0YREzoZ15gMqEz_
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

Background

Embeddings is a new IRIS feature empowering the latest capability in AI semantic search.
This presents as a new kind of column on a table that holds vector data.
The embedding column supports search for another existing column of the same table.
As records are added or updated to the table, the supported column is passed through an AI model and the semantic signature is returned.
This signature information is stored as the vector for future search comparison.