Authors:
Maria Salama
1
and
Ahmed Shawish
2
Affiliations:
1
British University in Egypt, Egypt
;
2
Ain Shams University, Egypt
Keyword(s):
e-Health, Healthcare, Diabetes, Cloud Computing, Mobile Cloud Computing.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Cloud in Healthcare
;
Design and Development Methodologies for Healthcare IT
;
Distributed and Mobile Software Systems
;
e-Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Healthcare Management Systems
;
Home Care & Health Networks
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Platforms and Applications
;
Software Engineering
Abstract:
Healthcare is one of the most important sectors in all countries; consuming an average of 9.5% of their domestic product. Among the widely spread endemic diseases, Diabetes is particularly a non-cured one that consumes medical resources, follow-up efforts, regular set of diverse checkups, continual needs for physicians and medical supplies. The current advanced healthcare systems succeeded to be a reservoir of healthcare records focussing on emergency and medical imaging only. At the same time, most of the currently deployed systems cannot provide a daily follow up to patients as well as not being able to help governments to smartly allocate their medical resources. In this paper, we propose a comprehensive framework that incorporates Mobile and Cloud computing with data mining techniques to efficiently provide a real-time smart healthcare framework for Diabetes. Mobile application is emerged as a widely deployed communication tool between the patients and the proposed system hosted
on the Cloud. The Cloud is incorporated to accommodate the system due to its known features that makes it possible to acquire continually fresh data from the field. The data is then processed through smart data mining techniques to extract knowledge and draw conclusions for governments. As discussed in the paper, the proposed framework promises a significant enhancement in the resources allocation and utilization, as well as provides a faster emergency response. The proposed architecture has been simulated using Junosphere, a cloud simulator, and it could represent a significant step towards future smart healthcare systems specialized to cover other endemic diseases.
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