#InterSystems IRIS for Health

Hello IRIS community,

InterSystems Certification is developing a certification exam for InterSystems IRIS Developer professionals, and if you match the exam candidate description given below, we would like you to beta test the exam.

The Interoperability user interface now includes modernized user experiences for the DTL Editor and Production Configuration applications that are available for opt-in in all interoperability products. You can switch between the modernized and standard views. All other Interoperability screens remain in the Standard user interface. Please note that changes are limited to these two applications and we identify below the functionality that is currently available.

The first developer previews of InterSystems IRIS^® data platform, InterSystems IRIS^® for Health, and HealthShare^® Health Connect 2025.1 have been posted to the WRC developer preview site. Containers can be found on our

Hello community,

How to install the iris package installer for Python (pip) in python and import iris package in python source code.

import iris
class Solution():
    iris.connection()

thanks!

I was watching this video about IRIS and GitHub and all is clear to me how it works and how code from each branch is getting deployed to each IRIS environment but the process to deploy is manual. My question is how can I, if possible, to utilize gti-source-control from GitLab CICD pipeline to deploy code automaticaly after PR approval instead going to the Git UI?

Thanks

InterSystems FAQ rubric

It can be obtained with a List query of the %SYS.Namespace class.

1. Create a routine like this:

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.

InterSystems FAQ rubric

Temporary globals stored in the IRISTEMP/CACHETEMP databases are used when a process does not need to store data indefinitely, but requires the powerful performance of globals. The IRISTEMP/CACHETEMP databases are not journaled, so using temporary globals does not create journal files.

The system uses the IRISTEMP/CACHETEMP databases for temporary storage and are available to users for the same.

docker login -u=<username> -p=<password> containers.intersystems.com
WARNING! Using --password via the CLI is insecure. Use --password-stdin.
Login Succeeded

$ docker pull containers.intersystems.com/intersystems/irishealth:2024.1
Error response from daemon: unauthorized: The client does not have permission for manifest: Download request for repo:path 'docker-customer-remote-cache:intersystems/irishealth/2024.1/list.manifest.json' is forbidden for user: 'anonymous'.

why the download is not working.

Updated 02/27/25

Hi Community,

Looking for a way to onboard your team with InterSystems IRIS® for Health? Unlock the full potential of this platform by using these InterSystems learning resources. With a mix of online and in-person training, you can support various roles in your organization and equip your team for success.

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!

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...

Based on a great sample and workshop built by @Luis Angel Pérez Ramos (see related articles and related Open Exchange app), which included a local InterSystems IRIS for Health container (and desired setup), this sample presented here, adapted the workshop for using the InterSystems Cloud FHIR Server, and it's related setup.

In the previous article we presented the d[IA]gnosis application developed to support the coding of diagnoses in ICD-10. In this article we will see how InterSystems IRIS for Health provides us with the necessary tools for the generation of vectors from the ICD-10 code list using a pre-trained language model, its storage and the subsequent search for similarities on all these generated vectors.