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Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching

Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching
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Author(s): Masoud Mohammadian (University of Canberra, Australia) and Ric Jentzsch (Compucat Research Pty Limited, Australia)
Copyright: 2010
Pages: 20
Source title: Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Judith Symonds (AUT University, New Zealand)
DOI: 10.4018/978-1-60566-960-1.ch047

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Abstract

Radio frequency identification (RFID) is a promising technology for improving services and reduction of cost in health care. Accurate almost real time data acquisition and analysis of patient data and the ability to update such a data is a way to improve patient’s care and reduce cost in health care systems. This article employs wireless radio frequency identification technology to acquire patient data and integrates wireless technology for fast data acquisition and transmission, while maintaining the security and privacy issues. An intelligent agent framework is proposed to assist in managing patients’ health care data in a hospital environment. A data classification method based on fuzzy logic is proposed and developed to improve the data security and privacy of data collected and propagated.

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