Let me introduce you to FHIRCraft, a lightweight tool to generate synthetic FHIR resources.

Now, you might be thinking:
“But wait — doesn’t Synthea already do that, and with tons of resources?”
Exactly — and that’s precisely why I created this app.

FHIRCraft is designed to generate simpler, smaller, and more focused FHIR resources. Unlike Synthea, it doesn’t aim to simulate entire patient histories or clinical workflows. Instead, it helps when you’re just getting started with FHIR — when you want to test things incrementally, or explore how specific resources behave in isolation.

Hello everyone,

I am attempting to implement continuous integration using Docker with Caché 2018.1, and I am in the process of creating an image for our client. I have already installed Caché 2018.1 on the RedHat server, but I am working on a script to create the database and namespace. For the database, I used the following code:

do ##class(SYS.Database).CreateDatabase("/usr/cachepoc/cache2018/mgr/poc/")

However, I have encountered some issues with this code. For instance, I am unable to view this local database in the portal's list:

Introducing Smart Clinical Sidechick — the intelligent, no-drama partner your EHR wishes it could be. She reads FHIR data in real time, interprets lab results without ghosting, and explains clinical alerts like she actually cares. Built with GPT-4 brains and YAML sass, she’s not here to replace your main EHR—just to make it look bad. Tired of irrelevant alerts and cryptic warnings? Sidechick serves up real, explainable insights, not vague “elevated risk” vibes. And when your backend crashes, she doesn’t panic—she self-heals. Secure, responsive, and (unlike your last vendor) emotionally

I cloned @Yuri Marx's langchain-iris-tool repo and modified docker-compose yaml per this post:

https://community.intersystems.com/post/error-when-trying-langchain-iri…

Now I see this:

I combined @Rodolfo Pscheidt https://github.com/RodolfoPscheidtJr/ollama-ai-iris with some files from @Guillaume Rongier https://openexchange.intersystems.com/package/iris-rag-demo.

My own project is https://github.com/oliverwilms/ollama-ai-iris

I can run load_data.py and it connects to IRIS (same container).

When I try to run query_data.py https://github.com/oliverwilms/ollama-ai-iris/blob/main/query_data.py , it cannot connect to ollama:

ConnectionError: Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible.

The 2024.1.4 and 2023.1.6 maintenance releases of InterSystems IRIS^® data platform, InterSystems IRIS^® for Health^TM, and HealthShare^® Health Connect are now Generally Available (GA). These releases include the fixes for the following alert recently issued - Alert: SQL Queries Returning Wrong Results | InterSystems. Please share your feedback through the Developer Community so we can build a better product together.

Documentation

You can find the detailed change lists & upgrade checklists on these pages:

• InterSystems IRIS
• InterSystems IRIS for Health
• HealthShare Health Connect

I read the article by @Rodolfo Pscheidt:

https://community.intersystems.com/post/ollama-ai-iris

I forked his app and copied selected files from @Guillaume Rongier iris-rag-demo to make it containerized:

oliverwilms/ollama-ai-iris
 

I ran load_data.py and I got this output:

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:

I cloned @Yuri Marx's langchain-iris-tool repo and typed docker-compose up -d. I see error message:

Error response from daemon: could not select device driver "nvidia" with capabilities: [[gpu]]
 

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

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.
Subsequently when search runs, a comparison of the stored signatures occurs without any further AI model processing overhead.

Hi all.

I'm trying to create an indexed table with an vector field so I can search by the vector value.
I've been investigating and found that to get the vector value based on the text (token), use a Python method like the following:

Hello,

i am building a new container with Docker-Compose with a --volume ./:/irisdev/app:rw to mount a host volume (UBUNTU).

If i try to create some data in /irisdev/app i have no write permission

If i open a bash host session i see all mounted files of my ./ directory. But with ls -l only UID 100 has write permission. The UID for "iris owner" is 52773.

Is there a way to set the UID and Group to "iris owner" ?

regards Matthias 

In this article I'll show you how to set up in your laptop, very quickly, a cluster of IRIS nodes in sharding. It's not the goal of this article neither to talk about sharding in detail nor define a deployment of a production ready architecture, but to show how to set up quickly, in your own machine, a cluster of IRIS instances configured as shard nodes, with which you'll able to play and test this functionality. If you're insterested in knowing more about sharding in IRIS, take a look at the documentation clicking here.  

First and foremost, I want to remark that IRIS sharding will allow us 2 things:

• Define, load and query shard tables, which data will be distributed transparently between the cluster's nodes
• Define  federated tables, which offer a global and composed view of data belonging to different tables that will be physically stored in different distributed nodes

So, as I said, we let for other article playing with shard or federated tables, and just focus now in the previous step, that is, setting up the cluster of shard nodes.

I have a flask application, its working locally. I also have a iris for health 2024.3 docker container front-ended with the iris nginx container.

I can configure the WSGI application with iris for health, give it a "url" (/flask or /csp/flask) but I cannot access the flask application. It looks like the url is not found within the nginx configuration. Is there any documentation or suggestion for configuration/enabling a flask app with a IRIS container front ended with the nginx container (provided by intersystems container registry) 

Just curious what the process is for debugging either a .py file that is uploaded to a specific namespace/location or a python classmethod defined in a .cls file.

My method can be run via the "Debug" breadcrumb but it doesnt hit breakpoints it just runs without a debugger. Also objectscript methods debug correctly

Hello,

When setting up a new web app in iris (iris is in a container) iris complains that a WSGI framework is not installed. I have installed python into the container as well as both flask and django via the python virtual environment (see second screenshot) and the python language server is running

Is this the wrong way to install flask? How do I get the container version to recoginize that flask is installed?

In a containerized environment, you can manage your container time via the TZ variable or via the /etc/timezone and /etc/localtime directories:

environment:
      - TZ=Europe/Paris

volumes:
    - "/etc/timezone:/etc/timezone:ro"
    - "/etc/localtime:/etc/localtime:ro"

You can find complete examples here:

IRIS Community

IRISHealth_Community

IRIS production

IRISHealth production

Hi! I've extended my demo repository, andreas5588/demo-dbs-iris, to make it easy to test the FOREIGN SERVER and FOREIGN TABLE features in IRIS.

To achieve this, I created a namespace called FEDERATION. The idea is as follows:

1. Set up JDBC connections for each namespace.
2. Create a FOREIGN SERVER within the FEDERATION namespace for each connection.
3. Define a FOREIGN TABLE a least for one table based on each foreign server.

The Script:  demo-dbs-iris/src/sql/02_create_foreign_server.sql

Hi, I'm trying to use the iris python package to create a connection to and Iris Health instance (Docker Container), but getting and error. I can login to the instance using the UI with the same uname/password but unable to create the python connection. Any suggestions?

conn = iris.connect("testserver",52222,"%SYS","username","password")

After executing this I get an exception trap
An error occurred: Invalid Message Count: expected: 1 got: 825110831

Hi everyone,

I’m currently experimenting with the SQL Gateway Connection, CREATE FOREIGN SERVER, and the THROUGH command (IRIS Documentation). To speed up my tests, I’ve combined several DemoDataSets in a Docker container and would like to automate the creation of SQL Gateway Connections using code. 

(By the way, if you’re interested, the Docker container is available here: Demo DBs IRIS.)

Hi fellow developers in InterSystems IRIS!

I'm often being asked, especially related to technical bonuses we encourage for every Open Exchange contest why do we constantly give bonuses for Docker, IPM and ObjectScript Quality pass.

In fact, this is very easy to answer.

I have started working on utilizing Epic on FHIR about a month ago.

Creating a Public Private Key Pair

mkdir /home/ec2-user/path_to_key
openssl genrsa -out ./path_to_key/privatekey.pem 2048

For backend apps, you can export the public key to a base64 encoded X.509 certificate named publickey509.pem using this command...

openssl req -new -x509 -key ./path_to_key/privatekey.pem -out ./path_to_key/publickey509.pem -subj '/CN=medbank'

Monitor incremental changes in the database through scheduled tasks, display change trends through charts, set alarm thresholds, and write information to messages.log

How to use it

You can install it through Docker or ZPM

Deploying with Docker Prerequisites

Make sure you have git and Docker desktop installed.

Installation

1.Clone/git pull the repo into any local directory

git clone https://github.com/Sara771dev/Database-Size-Monitoring.git

Open the terminal in this directory and run

docker-compose build

Run the IRIS container

docker-compose up -d

ZPM Package Deployment

Open the terminal to run

👩‍💻Looking to boost efficiency in your development and deployment process? See how Docker containers can help.

Hello,

The title says it all. I’m building an IRIS image with docker-compose using a separate Dockerfile. Pretty straightforward procedure: I import a Installer script inside the container containing a Installer Manifest I defined. Within the manifest, I create a namespace with code and data databases in separate locations. My intention is to keep the code database inside the container, so whenever I build the container, the imported code is replaced. The data, however, should be persistent.

iris-docker-multi-stage-script

A python script to keep your docker iris images in shape ;)

Witout changing your dockerfile or your code you can reduce the size of your image by 50% or more !

TL;DR

Name the builder image builder and the final image final and add this to end of your Dockerfile:

Modify your Dockerfile to use a multi-stage build:

ARG IMAGE=intersystemsdc/irishealth-community:latest
FROM $IMAGE as builder

Add this to end of your Dockerfile:

FROM $IMAGE as final

ADD --chown=${ISC_PACKAGE_MGRUSER}:${ISC_PACKAGE_IRISGROUP} https://github.com/grongierisc/iris-docker-multi-stage-script/releases/latest/download/copy-data.py /irisdev/app/copy-data.py

RUN --mount=type=bind,source=/,target=/builder/root,from=builder \
    cp -f /builder/root/usr/irissys/iris.cpf /usr/irissys/iris.cpf && \
    python3 /irisdev/app/copy-data.py -c /usr/irissys/iris.cpf -d /builder/root/ 

Boom! You're done!

When it comes to build an iris image, we can use the cpf merge files.

Here is an cpf merge example:

[Actions]
CreateDatabase:Name=IRISAPP_DATA,Directory=/usr/irissys/mgr/IRISAPP_DATA

CreateDatabase:Name=IRISAPP_CODE,Directory=/usr/irissys/mgr/IRISAPP_CODE

CreateNamespace:Name=IRISAPP,Globals=IRISAPP_DATA,Routines=IRISAPP_CODE,Interop=1

ModifyService:Name=%Service_CallIn,Enabled=1,AutheEnabled=48

CreateApplication:Name=/frn,NameSpace=IRISAPP,DispatchClass=Formation.REST.Dispatch,AutheEnabled=48

ModifyUser:Name=SuperUser,PasswordHash=a31d24aecc0bfe560a7e45bd913ad27c667dc25a75cbfd358c451bb595b6bd52bd25c82cafaa23ca1dd30b3b4947d12d3bb0ffb2a717df29912b743a281f97c1,0a4c463a2fa1e7542b61aa48800091ab688eb0a14bebf536638f411f5454c9343b9aa6402b4694f0a89b624407a5f43f0a38fc35216bb18aab7dc41ef9f056b1,10000,SHA512

InterSystems announces General Availability of InterSystems IRIS, InterSystems IRIS for Health, and HealthShare Health Connect 2024.3

The 2024.3 release of InterSystems IRIS^® data platform, InterSystems IRIS^® for Health, and HealthShare^® Health Connect is now Generally Available (GA).

Release Highlights

In this release, you can expect a host of exciting updates, including:

1. Much faster extension of database and WIJ files
2. Ability to resend messages from Visual Trace
3. Enhanced Rule Editor capabilities
4. Vector search enhancements
5. and more.

Hello. On some hosts, IRIS in containers.intersystems.com/intersystems/iris-community:2024.1 falls with a core dump.

auser:~$ docker run --rm -it --entrypoint=""  containers.intersystems.com/intersystems/iris-community:2024.1 bash
irisowner@6170dcdbe77c:~$ iris start IRIS
Illegal instruction (core dumped)

Coredump stack:

(gdb) bt
#0  0x000055688cf44743 in osregopen ()
#1  0x000055688cf4060a in ListConfig ()
#2  0x000055688cf3dcd7 in main ()

Are there some hardware requirements for IRIS docker container? Or maybe some specific settings?
Host details: