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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.

There are many ways to generate excel files using Intersystems, some of them are ZEN reports, IRIS reports ( Logi reports or formally known as JReports), or we can use third party Java libraries, the possibilities are almost endless.

But, what if you want to create a simple spreadsheet with only Caché ObjectScript? (no third party applications)

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Docker 20.10.14 (released March 23, 2022) changes the Linux capabilities given to containers in a manner that is incompatible with the Linux capability checker in InterSystems IRIS 2021.1 (and up) containers. 

Users running Docker 20.10.14 on Linux will find that IRIS 2021.1+ containers will fail to start and the logs will incorrectly report that required Linux capabilities are missing.  For example:

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It's come to our attention that the built-in license in the InterSystems IRIS and IRIS for Health 2021.1 Community Edition release is incorrectly set to expire on October 30, 2021.  

There is no impact to any production versions (the Community Edition is for development purposes), but developers will find that their instances stop running and should replace them with new ones.   For cases where replacing them is an issue, we have provided an override key.

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December 13, 2021 - Advisory: Vulnerability in Apache Log4j2 Library Affecting InterSystems Products

InterSystems is currently investigating the impact of a security vulnerability related to Apache Log4j2.

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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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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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Hello everybody! We’re happy to announce a new way to download Community Edition kits of InterSystems IRIS and IRIS for Health. The Community Edition is a no-cost developer edition that makes it easy to start developing solutions with IRIS. You can now download these kits through the Evaluation service: evaluation.intersystems.com.

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Hey Developers, 

We invite you to take part in the European Healthcare Hackathon 2021 which will take place on November 19-21 2021. Participation is free, the deadline for applications to the ON-LINE track is prolonged until 15 NOV.

We will have an InterSystems challenge there: "Innovate with FHIR". Prize fund in InterSystems track:

🥇1st place: 1500 EUR
🥈2nd place: 1000 EUR
🥉3rd place: 500 EUR
And we prepared prizes for ALL participants of our challenge!

Read the details about our challenge under the pic :) Are you in? Let us know in the poll below!

 

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In this article I will demonstrate the following :

  • Update ReferencesRange(OBX:7) against ObservationIdentifier(OBX:3.1)[TestCode] from database by using custom utility function
  • Update Abnormal Flag(OBX:8) against ObservationIdentifier(OBX:3.1)[TestCode]  and ObservationValue(OBX:5)[Result] from database utility function
  • Route Message based on Abnormal Flag(OBX:8)

Below is the primary and transformed HL7 2.5 ORU_R01 message:
 

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What is Web Scraping:

In simple terms, Web scraping, web harvesting, or web data extraction is an automated process of collecting large data(unstructured) from websites. The user can extract all the data on particular sites or the specific data as per the requirement. The data collected can be stored in a structured format for further analysis.

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Python has become the most used programming language in the world (source: https://www.tiobe.com/tiobe-index/) and SQL continues to lead the way as a database language. Wouldn't it be great for Python and SQL to work together to deliver new functionality that SQL alone cannot? After all, Python has more than 380,000 published libraries (source: https://pypi.org/) with very interesting capabilities to extend your SQL queries within Python.

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