Using embedded Python while building your InterSystems-based solution can add very powerful and deep capabilities to your toolbox.

I'd like to share one sample use-case I encountered - enabling a CDC (Change Data Capture) for a mongoDB Collection - capturing those changes, digesting them through an Interoperability flow, and eventually updating an EMR via a REST API.

Hello

This article follows up on the question I had asked the community UDP Adapter not working

In this article, I will present to you
1) What is "UDP"?
2) The current state of Iris with UDP
3) My solution with the UDP adapter

FHIR repositories, applications and servers typically serve clinical data in small quantities, whether to return data about a patient, their medications, vaccines, allergies, among other information. However, it is common for a large amount of data in FHIR/JSON format to be requested to be used to load into Data Lakes, identifying study cohorts, population health, or transferring data from one EHR to another. To meet these business scenarios that require large extractions and loads of data, it is recommended to use the FHIR Bulk Data Access feature provided by HL7 institution.

Learning LLM Magic

The world of Generative AI has been pretty inescapable for a while, commercial models running on paid Cloud instances are everywhere. With your data stored securely on-prem in IRIS, it might seem daunting to start getting the benefit of experimentation with Large Language Models without having to navigate a minefield of Governance and rapidly evolving API documentation. If only there was a way to bring an LLM to IRIS, preferably in a very small code footprint....

Hello,

Very much keen if we could gather the per namespace and business component utilization of InterSystems cache server.

For e. I have a PRD server where its CPU utilization is at max all the time and I want to know which namespace and its business process (service/Operation/Process) is utilizing what number of CPU and memory.

** I can get the CPU and Memory utilization per Cache.exe and PID, but not able to get the Namespace and ConfiguratioName to which that particular PID belongs.

Thank you,

It's been a while since I've posted about Embedded Git on the Developer Community, and I'd like to provide an update on the massive amount of work we've done this year and where we're going next.

Context

If you're building solutions on IRIS and want to use Git, that's great! Just use VSCode with a local git repo and push your changes out to the server - it's that easy.

But what if:

Hi Community,

We're excited to invite you to the webinar 2025 Data Management: Technology Trends & Predictions.

Join this webinar for an engaging and insightful tech talk on the latest trends in data management technology in the UK and Ireland.

⏱ Date & Time: Thursday, January 23, 10:30 AM GMT

👨‍🏫 Speakers:

• Andy Hayler, Practice Leader, Bloor Research
• @Mike Fuller, Regional Director of Marketing, InterSystems UK&I

Last Chapter: Creating a REST client to get Tracks from Spotify REST API - Part1 Check out token

Git link: https://github.com/ecelg/InterSystems-IRIS-as-a-Spotify-REST-client

Ok... Now we can check out a token but it will be expired in 3600 seconds.

There are 2 questions come up🤔

1. How to save this token????🙄

Hi Community,

In this article, I will introduce my application iris-HL7v2Gen .

IRIS-HL7v2Gen is a CSP application that facilitates the dynamic generation of HL7 test messages. This process is essential for testing, debugging, and integrating healthcare data systems. The application allows users to generate a wide variety of HL7 message types, validate their structure against HL7 specifications, explore the message hierarchy, and transmit messages over TCP/IP to production systems. These features are particularly useful in settings where compliance with HL7 standards is mandatory for interoperability between different healthcare organizations or systems.

Application Features

• Dynamic HL7 Message Generation: Instantly create HL7 messages for a range of message types, facilitating comprehensive testing.
• Message Structure Exploration: Visualize the structure of generated messages based on HL7 specifications.
• Value Set Visualization View predefined sets of allowable coded values for specific fields.
• Message Validation: Validate messages against HL7 standards to ensure compliance.
• TCP/IP Communication: Easily transmit messages to production using TCP/IP settings.
• Broad Message Type Support: Supports 184 different HL7 message types, ensuring versatility for various healthcare integration needs.
• ClassMethod: Generate a Test Message by Invoking a Class Method
• Version Support: Currently Supports HL7 Version 2.5

The ability to resend messages easily has always been a strong feature of our Interoperability capabilities.

With v2024.3 coming out soon (available already now as Developer Preview) out already we've made this even easier!

Hello,
Please, we would need your help 🙂:

In a development environment, we have added quite a few presentation contexts to the DICOM configurations (the associations). We would need to find a way to export them from this environment to make it easier for us to import them in PRO (and avoid doing it by hand one by one).

I was working on a DTL but kept getting ERROR #5002... MAXSTRING errors. The problem was that most of the DTL GUI action steps only support the string data type when working with the segments. A %String has a limit of 3,641,144 characters and my OBX5.1 was 5,242,952 characters long as the example provided. Of course PACS admin stated ultra high quality up to and including 4K resolution files were needed, so we could not get the vendor to compress or reformat these files to compressed jpg or something similar.

Hi Team, we are going to deliver a speech on a developer forum where most developers hv not used our tech before but using other database and integration technologies , Pls give us some key points on why they should adopt us and the benefits you can get, especially if you change your tech stack from others to IRIS. Thanks a lot!