I had a need for a Filter, but did not want to recreate the wheel by creating another Data Lookup Table, so instead I created a Linked Table that points to a MS SQL Table outside of IRIS.
Once I had the Linked Table, I created a Class Method Function that would query the Linked Table and return a 1 if a result came back.
Hi, I'm wondering what are the diferences between a method or classmethod with the language set at tsql and a querry writen in sql. If anyone know if there is some difference and what they are, I would be glad to learn. 😊
Sending emails is a common requirement in integration scenarios — whether for client reminders, automatic reports, or transaction confirmations. Static messages quickly become hard to maintain and personalize. This is where the templated_email module comes in, combining InterSystems IRIS Interoperability with the power of Jinja2 templates.
Why Jinja2 for Emails
Jinja2 is a popular templating engine from the Python ecosystem that enables fully dynamic content generation. It supports:
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My understanding that in IRIS we create an Inbound Adapter that would act like a Broker (connecting to server X) then have an MQTT outbound adapter to receive those messages?
Is there a quick sample that we could user to show how to setup these two Adapters, I started with this but I couldn’t for example find EnsLib.MQTT.Adapter.Inbound
I am writing a little app where I press a button on a Zen form. It calls a ZenMethod that uses zenPage.launchPopupWindow() to provide me a way to choose a file. I then click on an upload button that calls a csp cache language script file that runs on the server, that grabs the contents of the file and stuffs it into a global. I want it then close and return to the parent window to continue processing the contents of the file.
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I am currently conducting a comparative evaluation of FHIR clients as part of my bachelor thesis in health informatics. One of my evaluation criteria is the response time to support inquiries.
Therefore, I would like to kindly ask the following question as part of my analysis: How can I read and write custom FHIR extensions using your client library?
If available, could you point me to any documentation or examples?
The built-in task manager is limited. How can I implement a robust, distributed job scheduler in IRIS with support for dependencies, CRON syntax, and failover recovery?
We won’t lie to you, we’re really looking forward to this webinar. Because of its topic, speaker, and everything we’ll learn from it. We invite you to this webinar in Spanish: “Connecting Sensors with InterSystems IRIS” on Thursday, October 2, at 4:00 PM (CEST).
At READY 2025 we will have a CCR User Group Breakfast for HealthShare and TrakCare customers on Wednesday at 7:30am (presentation starts at 7:45am). Topics will include:
Review of Self Service Best Practice Dashboard
Recent CCR New Features and Enhancements
Active CCR Feature Beta Programs
Summer and Fall Roadmap
Q&A
We will meet in the Jackson meeting room. Visit the Meeting Counter to have it added to your schedule or comment below to request an invite.
This web interface is designed to facilitate the management of Data Lookup Tables via a user-friendly web page. It is particularly useful when your lookup table values are large, dynamic, and frequently changing. By granting end-users controlled access to this web interface (read, write, and delete permissions limited to this page), they can efficiently manage lookup table data according to their needs.
The data managed through this interface can be seamlessly utilized in HealthConnect rules or data transformations, eliminating the need for constant manual monitoring and management of the lookup tables and thereby saving significant time.
Note: If the standard Data Lookup Table does not meet your mapping requirements, you can create a custom table and adapt this web interface along with its supporting class with minimal modifications. Sample class code is available upon request.
Kubernetes horizontal pod auto-scaling (HPA) is the key to handle the unpredictable compute workload in healthcare systems. IKO helps orchestrating the IRIS container deployment in Kubernetes including the capability to configure HPA. This demo uses XSLT processing as an example to showcase this type of elasticity.
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A few weeks ago I published an API accelerator call Memoria, Is a very simple way to minimize the time and network traffic to and end-point, I hope could be useful.
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