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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,

We are using IRIS, and have some systems that we send data to that cannot accept messages with certain fields larger than a particular size.

Is there any way to utilize the schema to truncate any fields that are larger than the entered data?

I've tried just setting the max lengths and doing the transform, but it puts in the entire string, and can't find a topic for it.

There are a large number of fields that need to be truncated, so it would be ideal to get it to respect the hl7 schema maximum lengths.

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In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

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InterSystems Official
· Nov 29, 2023
Introducing the Upgrade Impact Checklist

We are excited to announce a new part of InterSystems documentation that makes it easier to upgrade InterSystems IRIS® data platform, InterSystems IRIS® for Health™, or HealthShare® Health Connect. The Upgrade Impact Checklist at https://docs.intersystems.com/upgrade shows you all the things you need to consider – and only the things you need to consider – in an upgrade between any two versions.

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Purpose

Most CloudFormation articles are Linux-based (no wonder), but there seems to be a demand for automation for Windows as well. Based on this original article by Anton, I implemented an example of deploying a mirror cluster to Windows servers using CloudFormation.I also added a simple walk through.
The complete source code can be found here.

Update: 2021 March 1 I added a way to connect to Windows shell by public key authentication via a bastion host as a one-liner.

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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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Question
· Mar 14, 2021
Byte[] property type

One of the REST APIs we need to call takes one of request parameter as a byte array. I am trying to create a message class and couldnt figure out which is equivalent type that corresponds to Byte[]. I need to read from a jpg file and then convert it to byte[] before i invoke this webservice. Appreciate if anyone can point me in the right direction. I can use %Stream.FileBinary class to store the jpg file after loading from a file. trying to figure out how to convert that to byte[].

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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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Article
· Feb 28, 2023 2m read
DataPipe: a data ingestion framework

Hi all!

I'm sharing a tool for data ingestion that we have used in some projects.

DataPipe is an interoperability framework for data ingestion in InterSystems IRIS in a flexible way. It allows you to receive data from external sources, normalize and validate the information and finally perform whatever operation you need with your data.

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Introduction

I recently participated in a fantastically organized hands-on by @Patrick Jamieson in which an Angular application was configured together with an IRIS FHIR server following the protocols defined by SMART On FHIR and I found it really interesting, so I decided to develop my own Angular application and thus take advantage of what I learned to publish it in the Community.

SMART On FHIR

Let's see what Google tells us about SMART On FHIR:

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Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

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Hi,
The IRIS Health Docker image comes with Java 1.8 but I need OpenJDK 11. How could I install that using aptitude or somehow else?
The apt-get command requires elevation but if I rewrite the command with sudo apt-get it won't build with error message /bin/sh: sudo: not found
Is it possible to do what I want?

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Still working on my first External REST API call, and I am struggling to find the exact answer I am looking for... I get a JSON response from my API call but I am not quite sure how to dynamically get the JSON response into the Ens.Response Object with its lists of Arrays that I have defined.

set tSC = ..Adapter.SendFormDataArray(.tHTTPResposne,"POST",tHTTPRequest,,,tURL)

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​Keywords: ChatGPT, COS, Lookup Table, IRIS, AI

Purpose


Here is another quick note before we move on to GPT-4 assisted automation journey. Below are some "little" helps ChatGPT had already been offering, here and there, during daily works.

And what could be the perceived gaps, risks and traps to LLMs assisted automation, if you happen to explore this path too. I'd also love to hear anyone's use cases and experiences on this front too.

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