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dc.contributor.authorMukhiya, Suresh Kumar
dc.contributor.authorRabbi, Fazle
dc.contributor.authorRutle, Adrian
dc.contributor.authorPun, Ka I
dc.contributor.authorLamo, Yngve
dc.date.accessioned2019-12-06T12:43:08Z
dc.date.available2019-12-06T12:43:08Z
dc.date.created2019-11-28T11:15:26Z
dc.date.issued2019
dc.identifier.citationMukhiya, S. K., Rabbi, F., I Pun, V. K., Rutle, A., & Lamo, Y. (2019). A GraphQL approach to Healthcare Information Exchange with HL7 FHIR. Procedia Computer Science, 160, 338-345.nb_NO
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/11250/2632185
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.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectGraphQLnb_NO
dc.subjectHL7 FHIRnb_NO
dc.subjectREST APInb_NO
dc.subjectoverfetchingnb_NO
dc.subjectunderfetchingnb_NO
dc.subjectHealth Information Exchangenb_NO
dc.subjectinteroperabilitynb_NO
dc.subjectREST vs GraphQLnb_NO
dc.titleA GraphQL approach to Healthcare Information Exchange with HL7 FHIRnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© 2019 The Authorsnb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420nb_NO
dc.source.pagenumber338-345nb_NO
dc.source.volume160nb_NO
dc.source.journalProcedia Computer Sciencenb_NO
dc.identifier.doi10.1016/j.procs.2019.11.082
dc.identifier.cristin1753637
dc.relation.projectNorges forskningsråd: 259293nb_NO
cristin.unitcode203,12,4,0
cristin.unitnameInstitutt for data- og realfag
cristin.ispublishedtrue
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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