Hello,

Does anyone know if intersystems has a support document/ support guide on "Healthshare"? We need to share it with our L1 support team.

Any support document with a few known issues with their resolution, that the L1 team can expect and resolve?

Hi,

I have multiple processes in a production. How can I link process to multiple categories?

Thanks

1. I like the Application Error Log functionality a lot. However, it becomes time consuming to inspect it date by date and directory by directory on a multidirectory server. Ideally, I would use an existing error class to write a custom error report by date, selected namespaces, etc. Does such a system class actually exist? Not that I found. The detail level on the screenshot below is enough.

At the moment we're creating multiple BPLs are using a router (or another BPL) to direct to these based on a unique key modulo the amount of BPLs available, e.g. if we have 3 BPLs created.

Message key = 1 mod 3 + 1 -> BPL02
Message key = 2 mod 3 + 1 -> BPL03
Message key = 3 mod 3 + 1 -> BPL01

FIFO only matters in that each messages for each key is processed in order.

Hi guys,

Hello Community

I'm unable to view the HL7 message field in the Business rules of the latest version of IRIS while tying HL7. syntax

ex: HL7.{PID:PatientName().givenname}

Latest Rule editor

Old Rule editor

When using VS Code client-side editing in combination with a file-based revision control system such as git, I find activities such as branch switching and moving/renaming classes and packages a bit tedious, since you to maintain the connected namespace in sync manually.

We are using the IRIS cloud. and I am working on a DTL .

so the source side timestamp is local time for example 20240110134740, I know it is a local time. so the requirement is I need to append the UTC at the end, like -0400 or -0500 depending on if it is daylight saving time.

so is there function to return if current day is at daylight saving time, so I can decide if I need to append the -400 or -500? or a function to return the current UTC by location?

Be in touch with InterSystems and receive alerts, advisories and product news quickly. The process is really simple:

Hello,

Thanks for reading:

I was wondering if you would recommend or like any film?

For example thare are some films related to computers like:

Hi Community:

How did Credit Suisse, the VA, and UC Davis advance their digital strategies during the pandemic? Find out on Day 2 of our first-ever InterSystems Virtual Summit. Plus, you’ll hear from our heads of Client Services, Healthcare, and Data Platforms on the ways we’ve adapted, innovated, and built new solutions to help you weather any storm ahead.

To join us:

Faced with the enormous and evergrowing amounts of data being generated in the world today, software architects need to pay special attention to the scalability of their solutions. They must also design systems that can, when needed, handle many thousands of concurrent users. It’s not easy, but designing for massive scalability is an absolute necessity.

Software architects have several options for designing scalable systems. They can scale vertically by using bigger machines with dozens of cores. They can use data distribution (replication) techniques to scale horizontally for increasing numbers of users. And they can scale data volume horizontally through the use of a data partitioning strategy. In practice, software architects will employ several of these techniques, trading off hardware costs, code complexity, and ease of deployment to suit their particular needs.

This article will discuss how InterSystems IRIS Data Platform supports vertical scalability and horizontal scalability of both user and data volumes. It will outline several options for distributing and partitioning data and/or user volume, giving scenarios in which each option would be particularly useful. Finally, this paper will talk about how InterSystems IRIS helps simplify the configuration and provisioning of distributed systems.

Visual Studio Code releases new updates every month with new features and bug fixes, and the February 2025 release is now available.

There have been enhancements to GitHub Copilot with predictive editing, autonomous task completion, smarter code search, improved terminal and notebook support, and UI and workflow refinements.