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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

Masoud Mohammadian, Ric Jentzsch
Copyright: © 2008 |Volume: 3 |Issue: 3 |Pages: 20
ISSN: 1555-3396|EISSN: 1555-340X|ISSN: 1555-3396|EISBN13: 9781615202928|EISSN: 1555-340X|DOI: 10.4018/jhisi.2008070103
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MLA

Mohammadian, Masoud, and Ric Jentzsch. "Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching." IJHISI vol.3, no.3 2008: pp.38-57. http://doi.org/10.4018/jhisi.2008070103

APA

Mohammadian, M. & Jentzsch, R. (2008). Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching. International Journal of Healthcare Information Systems and Informatics (IJHISI), 3(3), 38-57. http://doi.org/10.4018/jhisi.2008070103

Chicago

Mohammadian, Masoud, and Ric Jentzsch. "Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching," International Journal of Healthcare Information Systems and Informatics (IJHISI) 3, no.3: 38-57. http://doi.org/10.4018/jhisi.2008070103

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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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