Building a FHIR app with Java
summary
Shows how to build a Java FHIR app by using the HAPI FHIR model parser client to map a CSV of CDC lab results into FHIR Patients and Observations, spin up an in-memory server at localhost:8000, and upload resources with the fluent client. Demonstrates CSV -> Patient+Observation mapping (example uses NHANES rows reattributed to Simpson characters), creates many patients and observations, and runs successfully. Notes supported FHIR versions (DSTU2, R3, R4, R5 drafts) and HAPI versioning details.
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chapters (8)
- 0:00Introduction and overview
- 2:53Library architecture tour
- 7:10Data model and fluent API
- 11:31Primitive types and wrappers
- 15:26Context, parsing, and serialization
- 18:12Client framework usage
- 22:49CSV mapping and upload exercise
- 34:44Q&A and closing
