Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR).

Health Information Interoperability Health Information Systems Patient Reported Outcome Measures

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
2019
Historique:
entrez: 4 4 2019
pubmed: 4 4 2019
medline: 31 8 2019
Statut: ppublish

Résumé

Despite the advances in health information technology and the increasing usage of electronic systems, syntactic and semantic interoperability between different health information systems remains challenging. An emerging standard to tackle interoperability issues is HL7 FHIR, which uses modern web technologies for communication like Representational State Transfer. The electronic patient reported outcome system Mobile Patient Survey (MoPat) was adapted to support metadata import and clinical data export using HL7 FHIR. Thereby, the data models of HL7 FHIR and MoPat were compared and the existing import and export functions of MoPat were extended to support HL7 FHIR. A test protocol including eight test datasets to proof functioning of the new features was successfully conducted. In the near future, a real time searching toolbar of FHIR metadata resources will be integrated within MoPat. MoPat FHIR import and export functions are ready to be used in a clinical setting in combination with a FHIR compliant clinical data server.

Identifiants

pubmed: 30942732

Types de publication

Journal Article

Langues

eng

Pagination

141-145

Auteurs

Michael Storck (M)

Institute of Medical Informatics, University of Muenster, Muenster, Germany.

Luca Hollenberg (L)

Institute of Medical Informatics, University of Muenster, Muenster, Germany.

Martin Dugas (M)

Institute of Medical Informatics, University of Muenster, Muenster, Germany.

Iñaki Soto-Rey (I)

Institute of Medical Informatics, University of Muenster, Muenster, Germany.

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Classifications MeSH