#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.

We are developing some containarized cloud application level iris instances and using CPF Merge to do a lot of the initial buildout for the iris instance (i.e. create databases, namespaces, map globals/routines, ecp setup, etc...)

I am trying to figure out how to get package mappings into a namespace config, via cpf merge if possible... ?

This is the document I am working from to develop the cpf merge file -

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We have a situation where we want to save the patient photo (or any other attachment) received via FHIR to a persistent property without decoding it. When it is sent out again using FHIR is is stored in the encoded format and need not be encoded. We do not need to decode it for our application. We always use it on another system that retrieves it or saves it via FHIR and therefore it is always received or sent embedded in JSON.

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Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework.
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

image

Features

  • Responsive bootstrap IRIS Dashboard

  • View dashboard details along with interoperability events log and messages.

  • Use of Python plotting from IRIS

  • Use of Jupyter Notebook

  • Introduction to Data Science, Data Plotting and Data Visualization.

  • QR Code generator from python.

Open Exchange app
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UPDATE: Developer Preview 7 has been released.

Update 7 includes a number of stability improvements over previous updates and support for support for all of the planned 2022.1 features. If you notice any problems at all, now's the time to let us know. The docker pull commands below have been updated with the latest build numbers. Enjoy!

Developer Preview releases are now available for the 2022.1 version of InterSystems IRIS, IRIS for Health, and HealthShare Health Connect.

As this is InterSystems' first developer preview release, let's take a moment to describe what these are. The developer preview program enhances the previous IRIS preview program with approximately bi-weekly releases that add features as they are ready. This allows us to get feedback on capabilities and enhancements as they're available. You'll see below a list of enhancements that are targeted for 2022.1, which are not included in the first developer preview. Look for those over the coming weeks.

We are eager to learn from your experiences with this new release ahead of its General Availability release. Please share your feedback through the Developer Community so we can build a better product together.

InterSystems IRIS Data Platform 2022.1 is an extended maintenance (EM) release. 2022.1 includes the many important new capabilities and enhancements have been added in 2021.2, the continuous delivery (CD) release, since 2021.1, the previous EM release. Please refer to the release notes for 2021.2 for an overview of these enhancements.

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Hello, developers!

In this series, I will not show you how to use IRIS for Health, but rather how to use SUSHI, a tool for creating FHIR profiles, as an associated technology.

With the right tools, the profile information (specifications, limitations, extensions, etc.) of a FHIR project can be well organized and published.

Before we begin, what is SUSHI? I will briefly explain it.

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Valant Medical Solutions is a market-leading, software-as-a-service organization serving the needs of the behavioral healthcare industry. Our mission is to develop disruptive technology solutions that exponentially improve behavioral healthcare quality to better serve mental health providers and their patients. We’re seeking enthusiastic, passionate individuals to join us as we transform the industry!

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Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

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