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#InterSystems IRIS for Health

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InterSystems IRIS for Health™ is the world’s first and only data platform engineered specifically for the rapid development of healthcare applications to manage the world’s most critical data. It includes powerful out-of-the-box features: transaction processing and analytics, an extensible healthcare data model, FHIR-based solution development, support for healthcare interoperability standards, and more. All enabling developers to realize value and build breakthrough applications, fast. Learn more.

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ Large Language Model Use Cases in Healthcare @ Global Summit 2024

https://www.youtube.com/embed/ymW5JEbn1SA
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Hi Community,

In this article, I will introduce my application iris-HL7v2Gen .

IRIS-HL7v2Gen is a CSP application that facilitates the dynamic generation of HL7 test messages. This process is essential for testing, debugging, and integrating healthcare data systems. The application allows users to generate a wide variety of HL7 message types, validate their structure against HL7 specifications, explore the message hierarchy, and transmit messages over TCP/IP to production systems. These features are particularly useful in settings where compliance with HL7 standards is mandatory for interoperability between different healthcare organizations or systems.


Application Features

  • Dynamic HL7 Message Generation: Instantly create HL7 messages for a range of message types, facilitating comprehensive testing.
  • Message Structure Exploration: Visualize the structure of generated messages based on HL7 specifications.
  • Value Set Visualization View predefined sets of allowable coded values for specific fields.
  • Message Validation: Validate messages against HL7 standards to ensure compliance.
  • TCP/IP Communication: Easily transmit messages to production using TCP/IP settings.
  • Broad Message Type Support: Supports 184 different HL7 message types, ensuring versatility for various healthcare integration needs.
  • ClassMethod: Generate a Test Message by Invoking a Class Method
  • Version Support: Currently Supports HL7 Version 2.5

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I'm glad to announce the new version of IoP, which by the way is not just a command line. I'm saying because the new AI search engine still thinks that IoP is just a command line. But it's not. It's a whole framework for building applications on top of the interoperability framework of IRIS with a python first approach.

The new version of IoP: 3.2.0 has a lot of new features, but the most important one is the support of DTL . 🥳

For both IoP messages and jsonschema. 🎉

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DTL Support

Starting with version 3.2.0, IoP supports DTL transformations.

DTL the Data Transformation Layer in IRIS Interoperability.

DTL transformations are used to transform data from one format to another with a graphical editor.
It supports also jsonschema structures.

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Hi beloved members of the Community!

It is very common in the daily life of IRIS or Health Connect users that it is necessary to install new instances or update the ones they already have and in many cases it is not these same users who carry out the installation, but rather systems personnel who often do not take into account the particularities of the assignment of permissions necessary for the installation.

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Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.

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Question
· Jul 11, 2024
Epic/MyChart integration

We have a stand-alone web platform (readysetrecover.com) that helps people prepare for surgery focusing on the non-clinical – holistic and logistic aspects (stress reduction via meditation, sleep etc. as well as things like setting up the house, coordinating help from others etc).

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Hello developers!

Last year, for the first time, we held the Technical Article Contest on Japan's InterSystems Developer Community, and 📣 we are holding it again this year!📣

The topics are the same as last year, and you can submit any content related to InterSystems IRIS／InterSystems IRIS for Health.

🖋 InterSystems Japan Technical Article Contest – 2024: Articles related to IRIS 🖋

🎁 Participation prize：Everyone who submits a post will receive our👚Developer Community’s original T-shirt👕!！

🏆 Special Prize：Authors of three selected works will receive special prizes.

Updated on 30/8: Prize information added!Please check it out!👇

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InterSystems FAQ rubric

Mirroring only synchronizes database files.

To synchronize other files required for your application (CSP files, images, documents, etc.) between the two servers that make up the mirror set follow one of the approaches:

  1. Place those files on a shared disk by introducing a NAS or similar device
  2. Or use file sync software to synchronize files between two servers.
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Are you a developer, data engineer, integration engineer, or data scientist who works hands-on with InterSystems products?

We are conducting 30-45 minute interviews to understand your experience — how you started with InterSystems products, where you find helpful code samples, and how we can improve our products to better support your journey.

✅ If you’re interested, fill out a quick survey to share your contact info and experience.

If you're selected, we will schedule a session at your convenience between April 2 and May 8 for an interview based on the information you provide.

🎁 As a thank-you, interview participants will receive 10,000 Global Masters points!

Your feedback will directly help us improve your experience using InterSystems products and services.

Kindly note that the spots are limited.

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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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After we rolled out a new cointainer based on containers.intersystems.com/intersystems/irishealth:2023.1 this week, we suddenly noticed that our FHIR Repository started responding with an Error 500. This turns out to be caused by PROTECT violations on the new HSSYSLOCALTEMP namespace and database used by this version of the IRIS for Health FHIR components.

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IRIS supports CCDA and FHIR transformations out-of-the-box, yet the ability to access and view those features requires considerable setup time and product knowledge. The IRIS Interop DevTools application was designed to bridge that gap, allowing implementers to immediately jump in and view the built-in transformation capabilities of the product.

In addition to the IRIS XML, XPath, and CCDA Transformation environment, the Interop DevTools package now provides:

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InterSystems IRIS Adaptive Analytics version 2024.1.3 is now available from the InterSystems Software Distribution page. This release includes AtScale 2024.1.3, and an updated User Defined Aggregate Function (UDAF) file. This release includes and the following new modeling and BI capabilities:

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If you are using the client-side development paradigm (i.e. editing code in local files that get imported and compiled onto the IRIS server your `objectscript.conn` settings point to) you can now use IPM in VS Code to manage the packages in your IRIS target by launching it from the Explorer view.

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I'm trying to get the python external language server started up in a container I am starting. The container is up and running but I cannot get the python language server to start.

This is the error that is coming back when trying to start the language server. I have tried creating a custom image with that package installed but it still does not work. Is there something specific that needs to be done to to get this working? (FYI, I have the dotnet version working but creating a custom image and installing the dotnet runtimes via a docker file)

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What is JWT?

JWT (JSON Web Token) is an open standard (RFC 7519) that offers a lightweight, compact, and self-contained method for securely transmitting information between two parties. It is commonly used in web applications for authentication, authorization, and information exchange.

A JWT is typically composed of three parts:

1. JOSE (JSON Object Signing and Encryption) Header
2. Payload
3. Signature

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Introduction

In InterSystems IRIS 2024.3 and subsequent IRIS versions, the AutoML component is now delivered as a separate Python package that is installed after installation. Unfortunately, some recent versions of Python packages that AutoML relies on have introduced incompatibilities, and can cause failures when training models (TRAIN MODEL statement). If you see an error mentioning "TypeError" and the keyword argument "fit_params" or "sklearn_tags", read on for a quick fix.

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