Lesion tracking DICOM SR to FHIR mapping
summary
Maps DICOM SR TID 1500 measurement reports into FHIR R4 using an Observation‑based model, converting Cancer Imaging Archive sample lesion measurements into FHIR Bundles via an in‑house Scribbon mapper that outputs Patient, ImagingStudy, root Observation with hasMember links and derived measurement Observations. Uses tracking UID as Observation.focus / BodyStructure.identifier to represent the real‑world lesion, models AI as Device, prototypes at a connectathon, and works though ImagingSelection and some R5 resources remain pending.
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chapters (10)
- 0:00Introduction and speaker intro
- 0:48About the presenter and context
- 2:13Presentation outline and goals
- 4:50DICOM SR to FHIR mapping focus
- 6:59Lesion tracking concept explained
- 8:51DICOM SR input and FHIR output
- 11:45HL7 FHIR connectathon overview
- 13:58TID 1500 to Observation mapping
- 17:56Implementation resources and tools
- 20:54Q&A and community discussion
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