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

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

Artificial Intelligence and Informatics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	1140-1149
Number of pages	10
Journal	AMIA ... Annual Symposium proceedings. AMIA Symposium
Volume	2020
State	Published - 2020

ASJC Scopus subject areas

General Medicine

Cite this

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AU - Jiang, Guoqian

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

Abstract

ASJC Scopus subject areas

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