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Adaptive workflows for diabetes management: Self-management assistant and remote treatment for diabetes

 
: Contreras, I.; Kiefer, S.; Vehi, J.

:

Blobel, B.:
pHealth 2017, 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health. Proceedings : 14-16 May 2017, Eindhoven, The Nederlands
Amsterdam: IOS Press, 2017 (Studies in health technology and informatics 237)
ISBN: 978-1-61499-760-3 (Print)
ISBN: 978-1-61499-761-0 (Online)
pp.151-156
International Conference on Wearable Micro and Nano Technologies for Personalized Health Conference (pHealth) <14, 2017, Eindhoven>
English
Conference Paper
Fraunhofer IBMT ()

Abstract
Diabetes self-management is a crucial element for all people with diabetes and those at risk for developing the disease. Diabetic patients should be empowered to increase their self-management skills in order to prevent or delay the complications of diabetes. This work presents the proposal and first development stages of a smartphone application focused on the empowerment of the patients with diabetes. The concept of this interventional tool is based on the personalization of the user experience from an adaptive and dynamic perspective. The segmentation of the population and the dynamical treatment of user profiles among the different experience levels is the main challenge of the implementation. The self-management assistant and remote treatment for diabetes aims to develop a platform to integrate a series of innovative models and tools rigorously tested and supported by the research literature in diabetes together the use of a proved engine to manage workflows for healthcare.

: http://publica.fraunhofer.de/documents/N-502391.html