Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1605
Title: Privacy-enabled mobile health mhealth-based diabetic solutions.
Book Title: Smart data privacy meets evolutionary robotics.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Adibi, Sasan
Dara, Rozita
Chan, Caroline
Varadarajan, Soumitri
Keywords: Quality of Life
Diabetes
Chronic Disease
Early Detection
Insulin Pumps
Continuous Glucose Monitors
Smartphones
Mobile Health
mHealth
Quality
Security
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: Jan-2012
Publisher: Springer New York
Abstract: Diabetes is one of the leading chronic diseases affecting the lives of millions globally and early detection and treatment of this disease can serve to improve the quality of life for patients as well as suspend further health complications arising from diabetes. Continuous Glucose Monitors (CGM) and Insulin Pumps (IP) have been widely deployed to monitor the sugar levels in the blood stream and inject appropriate amounts of insulin to compensate for the underperforming pancreas functions of the patients’ bodies and thereby may provide appropriate treatment solutions for many diabetic sufferers. With the invention and deployment of Smartphones, the quality and performance associated with treating diabetes has reached new heights, however the privacy and security of mobile-based diabetic systems remain in ongoing challenges. This chapter aims to focus on the privacy and security challenges of Mobile-Health (mHealth)-based Diabetic solutions.
URI: http://hdl.handle.net/11434/1605
ISBN: 9781461464082
Type: Chapter
Appears in Collections:Health Informatics

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