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Diabetes Mobile Care: Aggregating and Visualizing Data from Multiple Mobile Health Technologies.

Wood E, Yang Q, Steinberg D, Barnes A, Vaughn J, Vorderstrasse A, Crowley M, Henriquez C, Streicher M, Bass Blue D, Choi S, Shaw RJ. Diabetes Mobile Care: Aggregating and Visualizing Data from Multiple Mobile Health Technologies. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2019 May 6; 2019:202-211.

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As the appeal and use of mobile health (mHealth) technologies continues to grow, where does mHealth fit into clinical practice? This article explores the approach and obstacles encountered when integrating mHealth data into existing clinical frameworks and explores data visualization design tradeoffs. Specifically, this paper discusses the successes and challenges that arose when using commercial mHealth technologies, synthesizing multiple mHealth device data, and tailoring visualizations based on iterative feedback from type II diabetes mellitus patients. This research aims to influence the development of patient portals within electronic health records by understanding and addressing the challenges involved in acquiring, interpreting, and displaying this data set. In particular, we need to ensure that the presentation of these data is accessible and understandable by diverse populations.

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