#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.

++Update: August 2, 2018

This article provides a reference architecture as a sample for providing robust performing and highly available applications based on InterSystems Technologies that are applicable to Caché, Ensemble, HealthShare, TrakCare, and associated embedded technologies such as DeepSee, iKnow, Zen and Zen Mojo.

Azure has two different deployment models for creating and working with resources: Azure Classic and Azure Resource Manager. The information detailed in this article is based on the Azure Resource Manager model (ARM).

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This post provides guidelines for configuration, system sizing and capacity planning when deploying Caché 2015 and later on a VMware ESXi 5.5 and later environment.

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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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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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Hi Developers!

In March we are starting our first InterSystems IRIS Programming Contest! It's a competition in creating open-source solutions using InterSystems IRIS Data Platform.

The topic for the first contest is InterSystems IRIS, Docker and ObjectScript!

The contest will last three weeks: March 9-31, 2020. 

 Prizes:

There will be money prizes for Experts Nomination - winners will be determined by a specially selected jury:

🥇 1st place - $2,000 

🥈 2nd place - $1,000 

🥉 3rd place - $500

Also, there will be Community Nomination - an application that will receive the most votes in total:

🏆 1st place - $1,000

And we provide winners with high-level badges on Global Masters.

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Released with no formal announcement in IRIS preview release 2019.4 is the /api/monitor service exposing IRIS metrics in Prometheus format. Big news for anyone wanting to use IRIS metrics as part of their monitoring and alerting solution. The API is a component of the new IRIS System Alerting and Monitoring (SAM) solution that will be released in an upcoming version of IRIS.

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Preview releases are now available for InterSystems IRIS Advanced Analytics, and InterSystems IRIS for Health Advanced Analytics! The Advanced Analytics add-on for InterSystems IRIS introduces IntegratedML as a key new feature.

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Hi all,

 

I want to share a quick little method you can use to enable ssl with a self signed certificate on your local development instance of IRIS/HealthShare. This enables you to test https-specific features such as OAuth without a huge lift.

 

 

1. Install OpenSSL

Windows: https://slproweb.com/download/Win64OpenSSL_Light-1_1_1g.exe

Debian Linux: $ sudo apt-get -y install openssl

RHEL: $ sudo yum install openssl

 

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Over the last couple of weeks the Solution Architecture team has been working to finish off our 2019 workload: this included open-sourcing the Readmission Demo that was brought to HIMSS last year, so we could make it available to anyone looking for an interactive-way of exploring the tooling provided by IRIS.

 

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Date and Time is an important factors in our life. Because all applications are engaging based on Date/Time. But our world is split into multiple time zones. if our product is launched in the world, to maintain the history of events we are definitely required to convert all times to our local time or UTC ( Coordinated Universal Time ). As I know, many known programming languages of C#, JavaScript, Java, etc., provided the library to convert the date and time. i.e with a time zone name we can be able to convert without knowing the UTC offset.

 

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Hi developers! have you ever implemented a DICOM integration? Maybe you have searched for an example, or even a simulator. Here you can find a example that may be useful.

DICOM is a message standard widely used in healthcare for diagnostic images.You can use DICOM standard in interoperability productions using both IRIS For Health and Health Connect, here you can find the documentation.

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Article
Robert Cemper · Feb 8, 2021 3m read
WebSocket Client with embedded Python

This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.

To continue my series of WebSocket Client I have added an example written in Python.
The most impressive experience was how easy the writing and testing of the client was
which happened total offline from IRIS.
Embedding, running and feeding the client with data from IRIS was also incredibly simple.

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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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Myself and the other Technology Architects often have to explain to customers and vendors Caché IO requirements and the way that Caché applications will use storage systems. The following tables are useful when explaining typical Caché IO profile and requirements for a transactional database application with customers and vendors.  The original tables were created by Mark Bolinsky.

In future posts I will be discussing more about storage IO so am also posting these tables now as a reference for those articles. 

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One of the great availability and scaling features of Caché is Enterprise Cache Protocol (ECP). With consideration during application development distributed processing using ECP allows a scale out architecture for Caché applications. Application processing can scale to very high rates from a single application server to the processing power of up to 255 application servers with no application changes.

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Announcement
Patrick Jamieson · Mar 15, 2021
FHIR Analytics

Hi developers,

We have received quite a lot of interest in using SQL on FHIR data. As you know, FHIR data is encoded in the form of a complex directed graph, and thus you can not easily query it with traditional SQL queries or business intelligence tools. Some customers have noticed that the "FHIR search tables" in IRIS for Health have flattened part of the FHIR graph, and have tried to use them for analytics. This is an undocumented and unsupported part of IRIS for Health, and can change without notice.

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Note (June 2019): A lot has changed, for the latest details go here

Note (Sept 2018): There have been big changes since this post first appeared, I suggest using the Docker Container version, the project and details for running as a container are still in the same place  published on GitHub so you can download, run - and modify if you need to.

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Hi everyone,

I am very pleased to announce that the Readmission Demo has been released as open source. Many thanks to the Solution Factory team that worked hard on making this possible.

Here are the changes:

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Hi Developers!

We are going to establish a series of InterSystems IRIS Online Programming contests this year.

In March we started with ObjectScript CLI and here is the schedule of topics for the next few months:

  • April - InterSystems IRIS with REST API
  • May - InterSystems IRIS Native API application: use Python, JS, .NET, Java native APIs in your application to use IRIS
  • June-July - InterSystems IRIS AI/ML solutions. IntegratedML as a bonus
  • August - InterSystems IRIS for Health FHIR application
  • September - InterSystems IRIS Full-stack application: IRIS as a server and UI on any framework and any form: and web, desktop, mobile UI
  • October - Interoperability solutions for InterSystems IRIS and InterSystems IRIS for Health
  • November - Analytics Solution using InterSystems IRIS
  • December - Multi-model solution using InterSystems IRIS

All applications should be runnable with InterSystems IRIS in a docker container.

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I have just created a new Global Master Topic, "IRIS Cheatsheets". IRIS has introduced a lot of new functionality, especially in scripting languages, FHIR R4 support, enhanced Interoperability Tools, and IRIS Analytics. Having spent 35 years working on Windows-based PC's and Laptops, I have surprisingly little knowledge of Linux, Docker and Git. Furthermore, I have written almost every application and Interface in ObjectScript with splatterings of SQL, .Net, and Java Gateways and the most basic knowledge of WinSCP, Putty, SSH. All that changed when I received my first Raspberry Pi.

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