Yes / 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. / Supported 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.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17570 |
| Date | 05 January 2020 |
| Creators | Sigwele, Tshiamo, Naveed, A., Hu, Yim Fun, Ali, M., Hou, Jiachen, Susanto, Misfa, Fitriawan, H. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Published version |
| 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. |
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