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dc.contributor.authorRabbi, Fazle
dc.contributor.authorRutle, Adrian
dc.contributor.authorLamo, Yngve
dc.contributor.authorPun, Ka I
dc.date.accessioned2020-04-11T12:24:54Z
dc.date.available2020-04-11T12:24:54Z
dc.date.issued2019-11-21
dc.PublishedRabbi, Rutle, Lamo, Pun. A GraphQL approach to Healthcare Information Exchange with HL7 FHIR. Procedia Computer Science. 2019eng
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/1956/21839
dc.description.abstractInteroperability is accepted as a fundamental necessity for the successful realization of Healthcare Information Systems. It can be achieved by utilizing consistent standards defining syntactic and semantic meaning of the information being exchanged. HL7 FHIR is one of such open standards for Health Information Exchange (HIE). While HL7 FHIR supports Representational State Transfer (REST) architecture and Service-oriented Architecture (SOA) for seamless information exchange, it inherits the inflexibility and complexity associated with the RESTful approach. GraphQL is a query language developed by Facebook that provides promising techniques to overcome these issues. In this paper, we exploit the use of GraphQL and HL7 FHIR for HIE; present an algorithm to map HL7 FHIR resources to a GraphQL schema, and created a prototype implementation of the approach and compare it with a RESTful approach. Our experimental results indicate that the combination of GraphQL and HL7 FHIR-based web APIs for HIE is performant, cost-effective, scalable and flexible to meet web and mobile clients requirements.en_US
dc.language.isoengeng
dc.publisherElseviereng
dc.rightsAttribution CC BY-NC-ND 4.0eng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.subjectGraphQLeng
dc.subjectHL7 FHIReng
dc.subjectREST APIeng
dc.subjectoverfetchingeng
dc.subjectunderfetchingeng
dc.subjectHealth Information Exchangeeng
dc.subjectInteroperabilityeng
dc.subjectREST vs GraphQLeng
dc.titleA GraphQL approach to Healthcare Information Exchange with HL7 FHIReng
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.date.updated2019-11-28T10:16:22Z
dc.description.versionpublishedVersion
dc.rights.holderCopyright 2019 The Authorsen_US
dc.identifier.doihttps://doi.org/10.1016/j.procs.2019.11.082
dc.identifier.cristin1753637
dc.source.journalProcedia Computer Science


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Attribution CC BY-NC-ND 4.0
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