Hello Developers!

Have you ever had to convert HL7v2 messages to FHIR (Fast Healthcare Interoperability Resources) and found the process complicated and confusing? InterSystems is rolling out a new cloud based SaaS offering called HealthShare Message Transformation Services, which makes the process easy.  We are excited to announce an Early Access Preview Program for our new offering, and we would love to have you kick the tires and let us know what you think!  All you need is a free AWS account, with an S3 bucket to drop in your HL7v2 messages, and another S3 bucket to get your FHIR output. 

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I have attached a document that describes the product I have developed called NiPaRobotica Pharmacy. This is an interface I developed that accepts Pharmacy Dispense Requests and converts the line items on the order into dispense dialogues which it sends to pharmacy robots. I deployed the interface into 3 Hospital pharmacies two of which had 6 robots that were arranged in such a way that the dispense chutes channelled medications to desks by the pharmacists sitting in windows serving 1200 patients a day. The robots cut the average waiting time from 2 hours down to one hour.

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I'd like to share with you some storage features that also exist in Caché but are almost 
unknown and mostly not used. They are of course available in IRIS and gain importance
with large and distributed storage architectures.

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Announcement
Patrick Jamieson · Mar 15
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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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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Continuing the description of work on the use of the openhl python module in productive mode.

Since the version of iris with Embedded Python, does not yet have a final release, it is already necessary to use it in production now. We decided to back up the service for exporting requests to a xlsx file on a separate server, and save the query result in a global in a separate database.

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Healthcare interoperability is instrumental in improving patient care, decreasing healthcare provider costs, and providing a more accurate picture to providers. However, with so many different systems, data is formatted in many different ways. There are many standards that have been created to try to solve this problem, including HL7v2, HL7v3, and CDA but each one has its drawbacks.

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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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Article
Ron Sweeney · Dec 7, 2020 6m read
IRIS Python Native API in AWS Lambda

If you are looking for a slick way to integrate your IRIS solution in the Amazon Web Services ecosystem, server less application, or boto3 powered python script, using the IRIS Python Native API could be the way to go. You don't have to build out to far with a production implementation until you'll need to reach out and get something or set something in IRIS to make your application do its awesome sauce, so hopefully you will find value in this article and build something that matters or doesn't matter at all to anybody else but you as that is equally important.

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InterSystems SAM is a great tool to monitor your InterSystems IRIS and InterSystems IRIS For Health clusters on prem or in a cloud environment. This article describes how you can implement a customized alert handler. This is currently an undocumented and most likely an unknown feature of InterSystems SAM. With future releases it will be probably made easier to leverage this useful concept.

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What do you think If I will say you, that very soon you will be able to connect to IRIS from the application written in Rust.

What is Rust

Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references. Rust achieves memory safety without garbage collection, and reference counting is optional. (c) Wikipedia

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Hey Community,

Please join the next InterSystems online programming competition:

🏆 InterSystems FHIR Accelerator Programming Contest 🏆

Submit an application that uses InterSystems FHIR-as-a-service on AWS or helps to develop solutions using InterSystems IRIS FHIR Accelerator.

    Duration: May 10 - June 06, 2021

    Total prize: $8,750 

    👉  Landing page 👈


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    InterSystems is very pleased to announce the 2021.1 release of InterSystems IRIS Data Platform, InterSystems IRIS for Health and HealthShare Health Connect, which are now Generally Available to our customers and partners.

    The enhancements in this release offer developers more freedom to build fast and robust applications in their language of choice, both server-side and client-side. This release also enables users to consume large amounts of information more effectively through new and faster analytics capabilities.

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    Hello, developers!

    I would like to share the history of the project - the ZAPM shell.

    As soon as ZPM was implemented, I immediately began to think about how best to use it.

    And immediately faced with the desire to move more quickly between namespaces, especially when there are more than 20 of them.
    I had to leave the ZPM, move to the desired namespace and re-enter the shell.
    I suggested an improvement - a new "namespace" command for easier navigation.
    I didn’t wait - I did it myself. And so it went. If you need it, get ready to do it yourself.

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    InterSystems Global Summit (or Virtual Summit this year) is traditionally a time of big announcements, and I'm sure our friends from InterSystems have quite a lot of new and exciting things to share with us this year. Here at Banksia Global, we have a big announcement for you as well. Please meet our new website built to make IRIS-based software distribution a breeze: ZpmHub.com!

     

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    Preview releases are now available for the 2021.1 version of InterSystems IRIS, IRIS for Health and HealthShare Health Connect.

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

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    Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

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