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August 28, 2014

Mtg: Modeling Health Behaviors Using Mobile Sensing

by @ 8:39 pm. Filed under BioEngineering, Communications, Computers/Software

WEDNESDAY September 17, 2014
SCV Engineering in Medicine and Biology Chapter
– phone data, at-risk patients, between office visits …
Speaker: Anmol Madan, Co-founder and CEO,
Time: Optional dinner at Stanford Hospital Cafeteria, 6:15 PM; Presentations at 7:00 PM
Cost: none (no-host dinner)
Place: Room M-114, Stanford University Medical School, Stanford
RSVP: not required

Mobile phones are a pervasive platform for opportunistic sensing of social and health related behaviors.  In this talk, I discuss how sensor data from mobile phones can be used to model and predict health outcomes.  The talk starts with a review of research at the MIT Media Lab, and then transitions into how has built a commercial platform to collect, annotate, analyze and drive healthcare interventions at scale, deployed with major US hospital systems and healthcare providers.
The three-part platform — patient app, behavioral analytics engine, and provider dashboard
— applies this technolgy to give care providers a window into their patients’ health between office visits.  Our mobile app uses smartphone sensors to passively collect information about a patient’s daily patterns.  Using this data, our machine learning models are able to detect at-risk patients significantly better than the standard of care.  Any concerning changes in behavior are communicated to the provider through our simple, action-oriented web dashboard. is part of the care solutions at instituions such as Kaiser Permanente, Novant Health, UCSF, Duke Medical and Cincinnati Children’s.


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