A Framework for Cloud-Based Healthcare Services to Monitor Noncommunicable Diseases Patient

Muhammad Al-Qurishi,Mohammad Mehedi Hassan,Fattoh Al-Qershi,Atif Alamri,Yang Xiang,Hameed Ullah Khan,Mabrook Al-Rakhami

doi:10.1155/2015/985629

Muhammad Al-Qurishi, Mohammad Mehedi Hassan + Show 5 more

Open Access

https://doi.org/10.1155/2015/985629

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Abstract

Monitoring patients who have noncommunicable diseases is a big challenge. These illnesses require a continuous monitoring that leads to high cost for patients’ healthcare. Several solutions proposed reducing the impact of these diseases in terms of economic with respect to quality of services. One of the best solutions is mobile healthcare, where patients do not need to be hospitalized under supervision of caregivers. This paper presents a new hybrid framework based on mobile multimedia cloud that is scalable and efficient and provides cost-effective monitoring solution for noncommunicable disease patient. In order to validate the effectiveness of the framework, we also propose a novel evaluation model based on Analytical Hierarchy Process (AHP), which incorporates some criteria from multiple decision makers in the context of healthcare monitoring applications. Using the proposed evaluation model, we analyzed three possible frameworks (proposed hybrid framework, mobile, and multimedia frameworks) in terms of their applicability in the real healthcare environment.

Highlights

Noncommunicable disease is one of the most severe causes for the dramatic increase in the number of dead around the world [1, 2]
(i) We proposed a solution that utilized the benefits of cloud computing, mobile health applications, wireless body sensors, and media healthcare services in one hybrid framework
The solutions are evaluated according to a reference model developed by Olla, Phillip, and Joseph Tan [36] in order to extract requirements, and we used questionnaires to measure the relative importance of each criterion

Summary

Introduction

Noncommunicable disease is one of the most severe causes for the dramatic increase in the number of dead around the world [1, 2]. Mobile healthcare (m-health) provides the bilateral solution: the empowering of the individual monitoring of chronic care and the effective cost of health care services at all economic levels, as the proceedings of the m-health summit at the WEF confirmed [9]. (i) We proposed a solution that utilized the benefits of cloud computing, mobile health applications, wireless body sensors, and media healthcare services in one hybrid framework. (ii) We proposed a novel evaluation model based on Analytical Hierarchy Process called Cost-effective, Health support, Operational and Functionality (CHOF). This model helps evaluating any system/framework/tool that monitors patients with a chronic illness.

Literature Review

Proposed Work

Analysis and Results

Conclusions