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dc.contributor.authorSigwele, Tshiamo
dc.contributor.authorNaveed, A.
dc.contributor.authorHu, Yim Fun
dc.contributor.authorAli, M.
dc.contributor.authorHou, Jiachen
dc.contributor.authorSusanto, M.
dc.contributor.authorFitriawan, H.
dc.date.accessioned2020-01-05T12:44:02Z
dc.date.accessioned2020-01-14T11:49:50Z
dc.date.available2020-01-05T12:44:02Z
dc.date.available2020-01-14T11:49:50Z
dc.date.issued2019-11
dc.identifier.citationSigwele T, Naveed A, Hu YF et al (2019) Building a semantic RESTFul API for achieving interoperability between pharmacist and a doctor using JENA and FUSEKI. Journal of Physics: Conference Series. 1376(1): 012015.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17570
dc.descriptionYesen_US
dc.description.abstractInteroperability within different healthcare systems (clinics/hospitals/pharmacies) remains an issue of further research due to a barrier in sharing of the patient’s Electronic Health Record (EHR) information. To solve this problem, cross healthcare system collaboration is required. This paper proposes an interoperability framework that enables a pharmacist to access an electronic version of the patient’s prescription from the doctor using a RESTFul API with ease. Semantic technology standards like Web Ontology Language (OWL), RDF (Resource Description Framework) and SPARQL (SPARQL Protocol and RDF Query Language) were used to implement the framework using JENA semantic framework tool to demonstrate how interoperability is achieved between a pharmacy and a clinic JENA was used to generate the ontology models for the pharmacy called pharmacy.rdf and clinic called clinic.rdf. The two models contain all the information from the two isolated systems. The JENA reasoner was used to merge the two ontology models into a single model.rdf file for easy querying with SPARQL. The model.rdf file was uploaded into a triple store database created using FUSEKI server. SPARQL Endpoint generated from FUSEKI was used to query the triple store database using a RESTFul API. The system was able to query the triple store database and output the results containing the prescription name and its details in JSON and XML formats which can be read by both machines and humans.en_US
dc.description.sponsorshipSupported by a Institutional Links grant, ID 261865161, under the Newton-Ristekdikti Fund partnership. The grant is funded by the UK Department for Business, Energy and Industrial Strategy and Indonesia Ministry of Research, Technology and Higher Education and delivered by the British Council.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1088/1742-6596/1376/1/012015en_US
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.en_US
dc.subjectInteroperabilityen_US
dc.subjectHealthcare systemsen_US
dc.subjectElectronic Health Record (EHR) informationen_US
dc.subjectCross healthcare system collaborationen_US
dc.subjectRESTFul APIen_US
dc.subjectSemantic technologyen_US
dc.titleBuilding a semantic RESTFul API for achieving interoperability between a pharmacist and a doctor using JENA and FUSEKIen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-10
dc.date.application2019-11-12
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.date.updated2020-01-05T12:44:04Z
refterms.dateFOA2020-01-14T11:50:35Z


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