Authors: Harold Solbrig, David Booth, Gopikrishnan Chandrasekharan
This is a tutorial that is based on the webinar by Harold Solbrig on “FHIR RDF as a Bridge to the Semantic Web in Healthcare”. It shows how FHIR RDF medical records using SNOMED-CT codes can be processed by a reasoner to identify diagnoses that were not directly coded.
Two examples are demonstrated: a FHIR DiagnosticReport for malignant neoplasm is inferred to be an instance of CancerDiagnosis; and a report of a thyroid tumor is inferred to be a thyroid disease diagnosis.
The main body of the tutorial is on GitHub.
A 90-second video shows a quick run-through of the steps in the tutorial