IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Mobile Computing Framework for Passive RFID Detection System in Health Care

A Mobile Computing Framework for Passive RFID Detection System in Health Care
View Sample PDF
Author(s): Masoud Mohammadian (University of Canberra, Australia) and Ric Jentzsch (Compucat Research Pty Limited, Australia)
Copyright: 2009
Pages: 19
Source title: Mobile Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-60566-054-7.ch248

Purchase

View A Mobile Computing Framework for Passive RFID Detection System in Health Care on the publisher's website for pricing and purchasing information.

Abstract

The cost of health care continues to be a world wide issue. Research continues into ways and how the utilization of evolving technologies can be applied to reduce costs and improve patient care, while maintaining patient’s lives. To achieve these needs requires accurate, near real time data acquisition and analysis. At the same time there exists a need to acquire a profile on a patient and update that profile as fast and as possible. All types of confidentiality need to be addressed no matter which technology and application is used. One possible way to achieve this is to use a passive detection system that employs wireless radio frequency identification (RFID) technology. This detection system can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. Once this data is obtained, then up to date profiling can be integrated into the patient care system. This article discussed the use and need for a passive RFID system for patient data acquisition in health care facilities such as a hospital. The development of profile data is assisted by a profiling intelligent software agent that is responsible for processing the raw data obtained through RFID and database and invoking the creation and update of the patient profile.

Related Content

. © 2021. 35 pages.
. © 2021. 24 pages.
. © 2021. 35 pages.
. © 2021. 30 pages.
. © 2021. 34 pages.
. © 2021. 21 pages.
. © 2021. 31 pages.
Body Bottom