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

AMIA Annu Symp Proc. 2021 Jan 25;2020:1140-1149. eCollection 2020.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Delivery of Health Care
  • Electronic Health Records / organization & administration
  • Electronic Health Records / standards*
  • Health Facilities
  • Health Information Interoperability / standards*
  • Health Level Seven
  • Humans
  • Information Dissemination
  • Programming Languages*
  • Semantics