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Optimal Resource Allocation Model for Pervasive Healthcare Using Genetic Algorithm
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Author(s): Lutfi Mohammed Omer Khanbary (University of Aden, Yemen)and Deo Prakash Vidyarthi (Jawaharlal Nehru University, India)
Copyright: 2010
Pages: 24
Source title:
Strategic Pervasive Computing Applications: Emerging Trends
Source Author(s)/Editor(s): Varuna Godara (CEO of Sydney College of Management, Australia)
DOI: 10.4018/978-1-61520-753-4.ch014
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Abstract
Number of mobile devices, equipped with sophisticated services apart from communication, is increasing day by day. Today a vast set of high speed network infrastructure, both wired and wireless, exists. This work studies the mobility management model for healthcare services developed for the efficient utilization of the network infrastructure. The model assumes that the physicians (doctors) are highly mobile and are periodically changing their location to perform their daily work, which includes serving patients at different nodes (serving as health centre). The mobility information about these doctors dependents on their current location. A location-aware medical information system is developed to provide information about resources such as the location of a medical specialist and patient’s records. In the author’s previous work, a framework is developed to describe the relations between types of hospitals and specialists with the use of Hospital Information Systems (HIS). The model for pervasive healthcare is to manage the specialists’ movements between the hospital nodes with the objective to serve the maximum number of patients in minimum amount of time. In this work, they carried out simulation experiments to evaluate the performance of the proposed model towards servicing the patients. It has been observed that the model performs better in servicing the patients in the service area.
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