Medical-QoS Based Telemedicine Service Selection Using Analytic Hierarchy Process

Abstract

An emerging breakthrough paradigm shift in health industry and wearable devices, large scale and distributed mobile cloud computing technologies have led to new opportunities for medical healthcare systems. Telemedicine service selection and management of Medical-Quality of Service (m-QoS) in large-scale and distributed medical health system (e.g. medical data centers, hospitals, medical servers and medical clouds, etc.) is a key challenge for both industry and academia. The aim of this chapter is to improve and manage m-QoS by prioritizing Telemedicine service by using decisive and intelligent tool called Analytic Hierarchy Process (AHP). This service will be provided on urgency basis from the pool of medical services with the help of AHP. In this connection, four telemedicine services are considered i.e. Tele-surgery, Tele-Consultation, Tele-Education and Tele-Monitoring. In this research, three m-QoS parameters are considered i.e. throughput, jitter and delay. These services are evaluated by potential doctors and patients. We propose an AHP based decision making algorithm for selecting urgent and important service for the fast and cost-effective treatment of the emergency patients at the remote location in the hospital, because AHP is the significantly fast decision making technique used to assess, select and manage the emergency services at various priority levels in large scale and distributed medical health systems. The comprehensive purpose is indicated in the first level of the strategy. The decisive entities are presented in the intermediate level and the target-based alternatives are located at the lowest level. MATLAB is used for experimental results to measure and evaluate goal, decision making parameters and options from both qualitative and quantitative aspect. The proposed AHP algorithm is simulated for three decision parameters and four different Telemedicine services in which highest priority is given to decision parameter, throughput and Telemedicine service, Tele-Surgery for large scale and distributed medical health systems.