Presenting Author

Prem Timsina

Paper Type

Research-in-Progress Paper

Abstract

Recent advancement in smartphones coupled with the proliferation of data connectivity has resulted in increased interest and unprecedented growth in mobile applications for diabetes self-management. Nevertheless, a review of the literature highlights critical gaps between available functionality and user requirements and expectations. In this paper, we present a mHealth architecture of diabetes self-management system. The architecture has the following functionalities: automated data-entry through the use of wireless sensors; adherence to clinical guidelines; advanced statistical techniques for diabetes modeling and prediction; and advanced charting capabilities for data presentation and quality control.

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A mHealth Architecture for Diabetes Self-Management System

Recent advancement in smartphones coupled with the proliferation of data connectivity has resulted in increased interest and unprecedented growth in mobile applications for diabetes self-management. Nevertheless, a review of the literature highlights critical gaps between available functionality and user requirements and expectations. In this paper, we present a mHealth architecture of diabetes self-management system. The architecture has the following functionalities: automated data-entry through the use of wireless sensors; adherence to clinical guidelines; advanced statistical techniques for diabetes modeling and prediction; and advanced charting capabilities for data presentation and quality control.