Hey Community!

We’re updating the Developer Community search engine this weekend to make it faster and more accurate (we hope 😉).

During the update, you may experience occasional slowness or brief interruptions in search performance. If you notice anything unusual or run into issues, please let us know in the comments below - your feedback helps us ensure everything runs smoothly.

InterSystems FAQ rubric

One way to optimize query performance is to use query parallelism on a per-query or system-wide basis (a standard feature).

This is a technique for dividing the execution of a particular query among processors on a multi-processor system. The query optimizer will execute parallel processing only if there is a possibility of benefiting from parallel processing. Parallel processing is only applicable to SELECT statements.

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!

• IRIStool and Data Manager
• FHIR Data Explorer

We run mixed workloads in IRIS. For analytical queries, are bitmap indexes effective? What are the caveats for concurrent OLTP updates, and how should I maintain bitmap indexes efficiently?

Hi Guys,

I've created Business service with MQTT Inbound Adapter and here is my settings, BTW I'm using an IP with port not sure if it must be a url?

and this is my class:

Hi Community!

Welcome to Issue #25 of the InterSystems Ideas newsletter! Let's look at the latest news from the Ideas Portal, such as:

✓ General Statistics
✓ Recently added Community Opportunity ideas

In Studio, is it possible to call a dialog with a single input text field inside a custom Studio.Extension.Base.CheckIn method?

Update: The AI Bot just answered, not sure why it was at loss before I posted.

Hi,

I have the following transform working but i also want to add another string of text for it to look for but i'm unsure of how to write this in. The two bits of text are "NOT DECTECTED" and "Negative"

Hi Guys,

I'm looking to setup an MQTT adapter that also acts as broker to connect directly to an MQTT clients, is there an IRIS adapter or client that can be used as Broker as well?

Thanks

We want to expose both REST and GraphQL endpoints over the same data models. Is there a way to implement or integrate GraphQL with ObjectScript and map to class methods?

Hi, Community!

Need to install a HealthShare solution module? Follow this simple step-by-step process to get started!

Deploying HealthShare Solution Modules with InterSystems Package Manager

https://www.youtube.com/embed/VJKP0pLW5nI?utm_source=youtube&utm_medium=social&utm_campaign=VJKP0pLW5nI
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We are using IRIS with a sharded architecture. Complex SQL queries (with joins, aggregates, and subqueries) are performing slowly. How can I design queries or indexes to optimize distributed execution across shards?

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:

• IRIStool and Data Manager
• FHIR Data Explorer

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

While working with external languages for IRIS (such as Python and Node.js), one of the first things you must accomplish is making a connection to an IRIS instance.

For instance, to make a connection in python (from https://pypi.org/project/intersystems-irispython/):