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    Building a semantic RESTFul API for achieving interoperability between a pharmacist and a doctor using JENA and FUSEKI

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    Hou_et_al_JoPCS (1.017Mb)
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    Publication date
    2019-11
    Author
    Sigwele, Tshiamo
    Naveed, A.
    Hu, Yim Fun
    Ali, M.
    Hou, Jiachen
    Susanto, Misfa
    Fitriawan, H.
    Keyword
    Interoperability
    Healthcare systems
    Electronic Health Record (EHR) information
    Cross healthcare system collaboration
    RESTFul API
    Semantic technology
    Rights
    Content 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.
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Interoperability 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.
    URI
    http://hdl.handle.net/10454/17570
    Version
    Published version
    Citation
    Sigwele 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.
    Link to publisher’s version
    https://doi.org/10.1088/1742-6596/1376/1/012015
    Type
    Article
    Collections
    Management and Law Publications
    Engineering and Informatics Publications

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