Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable

Harold R. Solbrig, Eric Prud'hommeaux, David Booth, Cory M. Endle, Daniel J. Stone, Guoqian Jiang

Research output: Contribution to journalArticlepeer-review


This study developed and evaluated a JSON-LD 1.1 approach to automate the Resource Description Framework (RDF) serialization and deserialization of Fast Healthcare Interoperability Resources (FHIR) data, in preparation for updating the FHIR RDF standard. We first demonstrated that this JSON-LD 1.1 approach can produce the same output as the current FHIR RDF standard. We then used it to test, document and validate several proposed changes to the FHIR RDF specification, to address usability issues that were uncovered during trial use. This JSON-LD 1.1 approach was found to be effective and more declarative than the existing custom-code-based approach, in converting FHIR data from JSON to RDF and vice versa. This approach should enable future FHIR RDF servers to be implemented and maintained more easily.

Original languageEnglish (US)
Pages (from-to)1140-1149
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
StatePublished - 2020

ASJC Scopus subject areas

  • General Medicine


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