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Enhancing the Utility of Personal Health Data to Improve Diabetes Management

JANUARY 29, 2021

About the Presentation: Continuous sensing of relevant physiological signals is imperative for management of certain health conditions such as diabetes. This is motivating a surge in research and development of wearable [medical] devices, some of which are already in-use as part of standard patient care. However, it is well-known that continuous sensing creates large amounts of personal health data that makes manual analysis and interpretation especially challenging. Hence, there is a need for intelligent data processing and knowledge discovery tools that enable optimal utility of such data. In this talk, I will present research efforts in the Augmented Health Lab focused on enhancing the utility of personal health data to improve health outcomes. This work includes user-centered design and evaluation of digital tools for extracting actionable and clinically relevant insights from multiple streams of personal health data to support care.

About the Presenter:  Dr. Temiloluwa Prioleau is an Assistant Professor in the Department of Computer Science at Dartmouth College. Dr. Prioleau’s research interest is in the application of data science to human sensing and health. This includes developing and using mobile, wearable and digital solutions to understand, monitor, and affect bio-behavioral factors that influence health.