eCite Digital Repository

An adaptive semantic based mediation system for data interoperability among health information systems

Citation

Khan, WA and Khattak, AM and Hussain, M and Amin, MB and Afzal, M and Nugent, C and Lee, S, An adaptive semantic based mediation system for data interoperability among health information systems, Journal of Medical Systems, 38, (8) Article 28. ISSN 0148-5598 (2014) [Refereed Article]


Preview
PDF
Pending copyright assessment - Request a copy
3Mb
  

DOI: doi:10.1007/s10916-014-0028-y

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 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.

Item Details

Item Type:Refereed Article
Keywords:health information system, semantics, standards, HL7, ontology, interoperability
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Knowledge representation and reasoning
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Applied computing
UTAS Author:Amin, MB (Dr Muhammad Bilal Amin)
ID Code:143692
Year Published:2014
Web of Science® Times Cited:32
Deposited By:Information and Communication Technology
Deposited On:2021-03-30
Last Modified:2021-03-31
Downloads:0

Repository Staff Only: item control page