User and Data Classification for a Secure and Practical Approach for Patient-Doctor Profiling Using an RFID Framework in Hospital

Masoud Mohammadian (University of Canberra, Australia) and Ric Jentzsch (University of Canberra, Australia)
Copyright: © 2013 |Pages: 253
EISBN13: 9781466641495|DOI: 10.4018/978-1-4666-2671-3.ch014
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Utilization and application of the latest technologies can save lives and improve patient treatments and well-being. For this it is important to have accurate, near real-time data acquisition and evaluation. The delivery of patient’s medical data needs to be as fast and as secure as possible. Accurate almost real-time data acquisition and analysis of patient data and the ability to update such a data is a way to reduce cost and improve patient care. One possible solution to achieve this task is to use a wireless framework based on Radio Frequency Identification (RFID). This framework can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of an intelligent multi-agent system in a framework in which RFID can be used for patient data collection. This chapter presents a framework for the knowledge acquisition of patient and doctor profiling in a hospital. The acquisition of profile data is assisted by a profiling agent that is responsible for processing the raw data obtained through RFID and database of doctors and patients. A new method for data classification and access authorization is developed, which will assist in preserving privacy and security of data.
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