The videos are now available from the FHIR Analytics conference last week.
One of the speakers was Carl Anderson from Mayo Clinic Platform. He walked through how they’re converting terabytes of FHIR data into OMOP.
The most common use case for this conversion is to perform analytics on the data, but there may be other reasons.
Carl used a sample project with some Synthea data to explain the approach they took.
Takeaway for me: I’d never encountered the JQ streaming language before, so I’m off to check that out now.
Well worth watching if this is something you’re looking into.
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