I cloned iris-rag-demo from Open Exchange and issued docker-compose up -d. I went to the front end and type in the chat message:

Who was the 46th President of United States of America?

I got a run time error:

RuntimeError: ERROR <Ens>ErrBPTerminated: Terminating BP ChatProcess # due to error: ERROR #5002: ObjectScript error: <PYTHON EXCEPTION> *<class 'RuntimeError'>: <PYTHON EXCEPTION> <class 'ValueError' > ERROR #5002: ObjectScript error: <PYTHON EXCEPTION> *<class 'RuntimeError'

Traceback:

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Question
· Apr 18
HL7 DTL formatting

I need a DTL to handle this.

Any ideas appreciated.

For all Prosthetics orders:
when ORC-1(Order Control) is "NW" (New Order), need to update OBR-18(Placer Field 1) based on PV1-2 (Patient Class) value.
assumption is that the selection logic is that all prosthetics orders with OBR-18 field is always blank.
Description :
If PV1-2 is I, insert I in OBR-18
If PV1-2 is O, insert O in OBR-18
If PV1-2 is E, insert O in OBR-18
If PV1-2 is P, insert O in OBR-18
If PV1-2 is R, insert O in OBR-18
If PV1-2 is B, insert O in OBR-18

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Who hasn't been developing a beautiful example using a Docker IRIS image and had the image generation process fail in the Dockerfile because the license under which the image was created doesn't contain certain privileges?

In my case, what I was deploying in Docker is a small application that uses the Vector data type. With the Community version, this isn't a problem because it already includes Vector Search and vector storage. However, when I changed the IRIS image to a conventional IRIS (the latest-cd), I found that when I built the image, including the classes it had generated, it returned this error:

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Over the past couple of months, I have been working on the SMART on FHIR EHR Launch to test the capabilities of IRIS for Health using two open-source apps from CSIRO: SMART-EHR-Launcher and SMART Forms App. This journey has been incredibly interesting, and I’m truly grateful for the opportunity to work on this task and explore more of IRIS for Health’s potential.

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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:

How to Build a Scalable Network for Seamless Healthcare Data Exchange

https://www.youtube.com/embed/08uvm1zjC7Y
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I need to connect to a SFTP server and I seem to connect and timeout have tested the connection using File-zilla and the connection was successful but the problem is when I try to connect using the FTP in bound adapter service I get the following errors.

ERROR <Ens>ErrOutConnectExpired: FTP Connect timeout period (120) expired for ***************.com:990/******/SSL='********* + ERROR <Ens>ErrFTPConnectFailed: FTP: Failed to connect to server ***************.com:990/******/SSL='********* (msg='Timeout waiting for response',code=529)

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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
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Hello Team,

I got xDBC protocol is not compatible while executing python script. How to fix this error

C:\Users\ak\Desktop\lpyth\iris>C:/Users/ak/AppData/Local/Programs/Python/Python312/python.exe c:/Users/ak/Desktop/lpyth/iris/irisconn.py
An error occurred: connection failed: IRIS xDBC protocol is not compatible

py -m pip list
Package Version
------------------ ---------
intersystems-iris 3.9.2

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Hello Developers,

I have MacBook Pro M3 and I'm new to the IRIS for Health setup / installation with all pre-requisite / requirements so someone could please help me with detailed instructions on how to setup IRIS for Health (HL7 & FHIR) from scratch along with SQL Server? I have Windows 11 installed in parallel desktop if that's required and complete installation / setup is not possible on MacBook.

Thank you in advance.

Rushi

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Hi developers!

This will be a very short article as in April 2025 with Lovable and other Prompt-to-UI tools it becomes possible to build the frontend with prompting. Even to the folks like me who is not familiar with modern UI techics at all.

Well, I know at least the words javascript, typescript and ReactJS, so in this very short article we will be building the ReactJS UI to InterSystems FHIR server with Lovable.ai.

Let's go!

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Hey everyone.

I'm currently looking at a process where we're utilising the Class Ens.StreamContainer, and was looking to do some deletions outside of any purge routines.

Having been burned before, I wanted to make sure that deleting the container also deletes the contents within.

From looking in the class, the %OnDelete ClassMethod appears to be removing an index from a search table and nothing more.

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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

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I have a segment within a Group (grp) that needs to be validated that it is populated within the message.

When you use a Foreach within a Business Rule how should you account for the counter in the group?

For example, Epic sends their MFN message in the following format.

MSH~MFI~[~{~MFE~STF~PRA~[~ZPR~]~[~ZLK~]~[~CER~]~[~ZMG~]~[~ZTF~]~[~ZGP~]~[~ZDD~]~}~]

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

Introduction to OMOP Platform

https://www.youtube.com/embed/5O9J-tRQZM8
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Migrating InterSystems IRIS and InterSystems IRIS for Health from on-premises to the cloud offers many advantages for Application Providers and Solution Providers. These advantages include simplified operations, access to flexible resources, and enhanced resilience. Companies no longer need to worry about the physical constraints and expenses associated with maintaining on-prem infrastructure, such as power and space requirements and expensive computer hardware.

One of the most compelling benefits is the ability to accelerate speed to market. By removing the burden of infrastructure maintenance, cloud environments enable faster development and deployment cycles, allowing businesses to respond quickly to market demands and opportunities. Operational costs are also lowered, because companies can scale resources up or down based on actual needs, leading to more efficient use of capital. Moreover, migrating to the cloud can contribute to a reduced carbon footprint by optimizing energy usage through shared cloud infrastructure.

Transitioning to the cloud may involve significant changes. Companies may benefit from a more operational focus, managing and optimizing cloud resources continuously. This shift may require changes to business models, reconsideration of margins, and strategies for scaling operations up or out. While requiring more investment, embracing these changes can lead to improved agility and competitive advantage in the marketplace.

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Hi Community,

Traditional keyword-based search struggles with nuanced, domain-specific queries. Vector search, however, leverages semantic understanding, enabling AI agents to retrieve and generate responses based on context—not just keywords.

This article provides a step-by-step guide to creating an Agentic AI RAG (Retrieval-Augmented Generation) application.

Implementation Steps:

  1. Create Agent Tools
    • Add Ingest functionality: Automatically ingests and index documents (e.g., InterSystems IRIS 2025.1 Release Notes).
    • Implement Vector Search Functionality
  2. Create Vector Search Agent
  3. Handoff to Triage (Main Agent)
  4. Run The Agent
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I deployed an IRIS REST application using Installer class. I think I created the namespace FEEDER database with %DB_Default resource and I used the same resource in Web Application roles. I allowed Unauthenticated Authentication method. I used ^%ISCLOG and reviewed ^ISCLOG. I do not understand why I get 403 Forbidden response.

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