- Wajahat Ali Khan1,
- Asad Masood Khattak1,
- Maqbool Hussain1,
- Muhammad Bilal Amin1,
- Muhammad Afzal1,
- Christopher Nugent2 &
- …
- Sungyoung Lee1
1146Accesses
37Citations
Abstract
Heterogeneity 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 adaptiveAdapteRInteroperabilityENgine 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 theMediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by ourSystem forParallelHeterogeneity (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 theMBO 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 theMBO. 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.
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Notes
Heath Management Information System
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Acknowledgements
This research was supported by the MSIP(Ministry of Science, ICT&Future Planning), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency)” (NIPA-2013-(H0301-13-2001)).
This work was supported by a grant from the Kyung Hee University in 2011. (KHU-20111372).
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Authors and Affiliations
Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Republic of Korea
Wajahat Ali Khan, Asad Masood Khattak, Maqbool Hussain, Muhammad Bilal Amin, Muhammad Afzal & Sungyoung Lee
Computer Science Research Institute and School of Computing and Mathematics, University of Ulster Newtownabbey, Co. Antrim, Northern Ireland, BT37 0QB, UK
Christopher Nugent
- Wajahat Ali Khan
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- Asad Masood Khattak
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- Muhammad Bilal Amin
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- Muhammad Afzal
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This article is part of the Topical Collection onSystems-Level Quality Improvement
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Khan, W.A., Khattak, A.M., Hussain, M.et al. An Adaptive Semantic based Mediation System for Data Interoperability among Health Information Systems.J Med Syst38, 28 (2014). https://doi.org/10.1007/s10916-014-0028-y
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