Visualizing Real Time Data from Mobile Health Technologies


Over ten weeks, Computer Science majors Daniel Bass-Blue and Susie Choi joined forces with Biomedical Engineering major Ellie Wood to prototype interactive interfaces from Type II diabetics' mobile health data. Their specific goals were to encourage patient self-management and to effectively inform clinicians about patient behavior between visits.

Project Results: The team worked with patient data from a study that involved readings from a Fitbit, a Bluetooth glucometer, and a Bluetooth scale. Working in Tableau, they created both patient-facing and clinician-facing interactive visualizations. The former allows patients to identify trends of abnormally low or high blood glucose at certain meals or on certain days, and the latter help clinicians identify problematic days/times for specific patients. They also developed an SMS system which notifies clinicians when patients are experiencing dangerous blood glucose levels.

Partially funded by the Duke University School of Nursing and Duke University School of Medicine

Click here for the Executive Summary

Faculty Lead: Ryan Shaw

Project Manager: Michael Lindon

"Walking into Data+, I thought that Data Science research was about just leveraging math and software to make meaning. What I found was that true Data Scientists become enlightened by their data before they try to speak for it." — Ellie Wood, Biomedical Engineering


Ashlee Valente , Center for Applied Genomics and Precision Medicine