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The growing popularity of wearables and smartphone devices among consumers has led to a new opportunity for large-scale data driven chronic disease research in diabetes, obesity, hypertension and so on. The wearables and devices capture in-depth accurate data on a variety of health variables/metrics of interest including physical activity, sleep, weight, heart rate, blood glucose and blood pressure. In this webinar, we will discuss
The type of wearables/devices in market that are relevant to chronic disease research
Results from existing research studies that have successfully incorporated data from wearables
Various challenges, assumptions and issues to consider when using data from wearables
Pushing the data from wearables into Electronic Health Records (EHR) and Clinical Trial data capture systems.
Demo of GET Digital Health, a turn key solution to conduct research studies by leveraging data from wearables without any IT support.
Sharib Khan, MD, MA, MPH CEO & Cofounder, GetHealth.io Sharib Khan is a Biomedical Informatics Entrepreneur, who combines his passion for the application of computers in healthcare, with his belief in startups as vehicles for change. As Co-founder and Product Lead of GetHealth, he is responsible for developing and executing the product development vision. Sharib holds a Masters in Biomedical Informatics from Columbia University and an MD from the University of Medical Sciences, Delhi University. When not dabbling with technology, he can be found attending his yoga classes towards completing a two-year Iyengar Yoga Teacher Training Certification program.
Chintan Patel, PhD CTO & Cofounder, GetHealth.io Chintan Patel is a biomedical informatician and co-founder of GetHealth.io. He has over decade long academic and industry experience in the areas of biomedical ontologies, health vocabularies, big data analytics and natural language processing. Previously, he worked at the IBM’s T.J. Watson Research Labs on information extraction project that became the infamous Jeopardy winning Artificial Intelligence software “Watson”. He received a Masters in Computer Science from University of Missouri and a Ph.D. in Biomedical Informatics from Columbia University.