Wow! So fast! Thank you, Yuri!
Another idea for the contest: use your iPhone's health app data to transform into FHIR data and submit to the FHIR server. See the details
Here is the new topic for the FHIR contest:
CDA to FHIR data transformation
iPhone can export health data to CDA, see the details. Transform this data into FHIR format using IRIS for Health and submit to the FHIR server.
Here is an example of how you can transform CDA to FHIR data using IRIS for HEalth. Tagging @Guillaume Rongier for more details.
The main announcement is updated too.
What a beautiful idea! Thank you!
If these boxes could be clickable and point to documentation/tag would be a nice features table!
Thanks, Robert! Will add a few corrections:
COS stands for Caché ObjectScript. Now the name of language is InterSystems ObjectScript, so Obs is OK
There is no BASIC anymore in IRIS (I think).
Globals! This is a must.
A current set of proposed topics could be found here.
You are welcome to use iris-fhir-template to build your InterSystems IRIS for Health solutions for the contest.
The template uses the preview release 2020.3 of InterSystems IRIS for Health
A very helpful repository to generate synthetic FHIR compatible data shared by @Phillip Booth
E.g. to generate data for 5 patients in an /output subfolder of a current folder call:
docker run --rm -v $PWD/output:/output --name synthea-docker intersystemsdc/irisdemo-base-synthea:version-1.3.4 -p 5
Which you can load then into IRIS for Health with:
zw ##class(HS.FHIRServer.Tools.DataLoader).SubmitResourceFiles("path/output", "FHIRNamespace", "/restapi/endpoint/fhir/r4")
Update the article to introduce iris.script approach - dockerfile is smaller, objectscirpt is clearer.
You probably right for a majority of tasks. But how do you manage with AI tasks which NEED to manage thousands of features of entities? And features are properties/fields from data storage perspective.
Anyway, I'm really curious how do you deal with AI/ML tasks in IRIS or Caché.
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