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dc.contributor.authorKhan, Wajahat Ali
dc.contributor.authorKhattak, Asad Masood
dc.contributor.authorHussain, Maqbool
dc.contributor.authorAmin, Muhammad Bilal
dc.contributor.authorAfzal, Muhammad
dc.contributor.authorNugent, Christopher
dc.contributor.authorLee, Sungyoung
dc.date.accessioned2020-05-29T12:16:34Z
dc.date.available2020-05-29T12:16:34Z
dc.date.issued2014-06-26
dc.identifier.citationKhan, W.A., Khattak, A.M., Hussain, M., Amin, M.B., Afzal, M., Nugent, C. and Lee, S., 2014. An adaptive semantic based mediation system for data interoperability among health information systems. Journal of medical systems, 38(8), pp. 1-18.en_US
dc.identifier.issn0148-5598
dc.identifier.doi10.1007/s10916-014-0028-y
dc.identifier.urihttp://hdl.handle.net/10545/624841
dc.description.abstractHeterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous formats for achieving data interoperability. We propose an adaptive AdapteR Interoperability ENgine mediation system called ARIEN, that arbitrates between HISs compliant to different healthcare standards for accurate and seamless information exchange to achieve data interoperability. ARIEN stores the semantic mapping information between different standards in the Mediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by our System for Parallel Heterogeneity (SPHeRe) matching system and Personalized-Detailed Clinical Model (P-DCM) approach to guarantee accuracy of mappings. The realization of the effectiveness of the mappings stored in the MBO is evaluation of the accuracy in transformation process among different standard formats. We evaluated our proposed system with the transformation process of medical records between Clinical Document Architecture (CDA) and Virtual Medical Record (vMR) standards. The transformation process achieved over 90 % of accuracy level in conversion process between CDA and vMR standards using pattern oriented approach from the MBO. The proposed mediation system improves the overall communication process between HISs. It provides an accurate and seamless medical information exchange to ensure data interoperability and timely healthcare services to patients.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.urlhttps://link.springer.com/article/10.1007/s10916-014-0028-yen_US
dc.relation.urlhttp://uclab.khu.ac.kr/resources/publication/J_175.pdfen_US
dc.rights.urihttp://www.springer.com/tdm
dc.subjectHeterogeneity, complex medical data, attainment of data level interoperabilityen_US
dc.titleAn adaptive semantic based mediation system for data interoperability among health information systemsen_US
dc.typeArticleen_US
dc.identifier.eissn1573-689X
dc.contributor.departmentKyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Republic of Koreaen_US
dc.contributor.departmentUniversity of Ulster Newtownabbey, Co. Antrim, Northern Irelanden_US
dc.identifier.journalJournal of Medical Systemsen_US
dc.identifier.pii28
dc.source.journaltitleJournal of Medical Systems
dc.source.volume38
dc.source.issue8
dcterms.dateAccepted2014-03-07
dc.author.detail786996en_US


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