An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems

An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems

Weir Ying, Jaminda S. Wimalasiri, Pradeep Ray, Subhagata Chattopadhyay, Concepción S. Wilson
Copyright: © 2012 |Pages: 13
ISBN13: 9781466609099|ISBN10: 1466609095|EISBN13: 9781466609105
DOI: 10.4018/978-1-4666-0909-9.ch002
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MLA

Ying, Weir, et al. "An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems." Emerging Communication Technologies for E-Health and Medicine, edited by Joel J.P.C. Rodrigues, IGI Global, 2012, pp. 18-30. https://doi.org/10.4018/978-1-4666-0909-9.ch002

APA

Ying, W., Wimalasiri, J. S., Ray, P., Chattopadhyay, S., & Wilson, C. S. (2012). An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems. In J. Rodrigues (Ed.), Emerging Communication Technologies for E-Health and Medicine (pp. 18-30). IGI Global. https://doi.org/10.4018/978-1-4666-0909-9.ch002

Chicago

Ying, Weir, et al. "An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems." In Emerging Communication Technologies for E-Health and Medicine, edited by Joel J.P.C. Rodrigues, 18-30. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0909-9.ch002

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Abstract

One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the information in distributed, heterogeneous e-health systems. Using a layered ontology structure we show how ontology based multi-agent systems can be used to resolve discrepancies in terminology and/or structure. This involves a case study in a distributed Electronic Health Record (EHR) environment.

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