In the previous article, we've discussed the origin of the standard HL7v2, the structure and the types of messages. Let's now look at one of the most used types of messages and an example of its structure. I'm talking about ADT.

HL7 ADT messages (Admit, Discharge, Transfer) are used to communicate basic patient information, visit information and patient state at a healthcare facility. ADT messages are one of the most widely-used and high volume HL7 message types, as it provides information for many trigger events including patient admissions, registrations, cancellations, updates, discharges, patient data merges, etc.

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InterSystems announces another developer preview release, as part of the developer preview program for the 2022.3. Many updates and enhancements have been added in 2022.3 and there are also brand new capabilities, such as the new FHIR SQL Builder, improvements for Columnar Storage, and support to Oracle Linux 9. Some of these features or improvements may not be available in this current developer preview.

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Hi Community,

Let's meet together at the online meetup with the winners of the InterSystems IRIS for Health Contest – a great opportunity to have a discussion with the InterSystems Experts team as well as our contestants.

Winners' demo included!

Date & Time: Friday, December 9, 10:00 AM EDT

>> Register here <<

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For a Linux host, has anyone developed an Ansible module that will start a session to IRIS and send commands?

What I am after is something like this:

1. Supply



Commands <- list

Prompt <- from session command

2. Send back the output from the session

If so please advise where I can download the module?

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Hi, I would like to tell you how easy it is to spin up IRIS for Health docker container in compute engine(VPS) in google cloud.

I know that to run IRIS for Health in AWS is pretty simple and straightforward, but I wanted to tried if its same easy in GCP environment.

Create vm instance. 2GB RAM is more than enough.

I used Debian 11 as Linux distro.

Standart persistent disk is cheaper.

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