Based on IRIS for Health Community 2019.3
This demo shows how easy it is to integrate an Electronic Medical Record system that is sending HL7 messages with AWS. The example shows how we can receive appointments (SIU_S12 messages), extract data from the message and do two things with the data:
The picture bellow shows the workflow:
You will find two YouTube videos bellow. The first one is 10 minutes long and walks you through the IRIS demo. But if you want to experience building an integration project with IRIS, we recommend watching both videos.
Have fun! :)
Start with this video demo on YouTube (if you haven't already watched it).
WARNING: A previous version of this demo used the namespace "USER". Now it is running on the namespace "APPINT". So, when watching the video, when you see "USER", please use "APPINT" instead.
Now that you have watched the demo, you can watch this second video and take two different paths:
To just run the demo on your PC, make sure you have Docker installed on your machine and run the following command:
docker run --init -it --rm -p 52773:52773 --name iris intersystemsdc/irisdemo-demo-appointmentsms:version-1.1.0
Then open the demo landing page on http://localhost:52773/csp/appint/demo.csp.
Use the username SuperUser and the password sys. This is just a demo that is running on your machine, so we are using a default password.
If you want to experience on building parts of the demo, start this other container instead:
docker run --init -it --rm -p 52773:52773 --name iris intersystemsdc/irisdemo-demo-appointmentsms:student-version-1.1.0
In this container, many componentes of the demo are missing, so you get to build and add them yourself.
Independently of the path you choose, don't forget to follow the second video for guidance.
There are other IRIS demo applications that touch different subjects such as NLP, ML, Integration with AWS services, Twitter services, performance benchmarks etc. Here are some of them:
Please, report any issues on the Issues section.