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http://hdl.handle.net/11434/1605
Title: | Privacy-enabled mobile health mhealth-based diabetic solutions. |
metadata.dc.title.book: | 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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