Thinking of a mobile research study app? Learn how Apple’s ResearchKit & Wearables can augment your study
Date: July 14, 2016 Time: 1:00 pm (EDT) Hosts: Sharib Khan, MD, MA, MPH and Chintan Patel, PhD
Registration is closed for this webinar.
The release of Apple’s ResearchKit library a year ago has opened up new avenues to collect patient-reported data remotely. And the wide use of wearables by consumers for activity tracking opens up additional data streams to study individual lifestyle and behaviors that in turn affect an individual’s health.
In this webinar, we will
Provide an overview of Apple’s ResearchKit library and dissect a mobile study app (America Walks) to highlight key capabilities of the platform.
Discuss how these apps have opened up new avenues to collect patient-reported data remotely
Touch upon key considerations when making such apps, such as the consent process, types of data to collect, IRB approvals
How to make the app available to other platforms such as Android
How to leverage device sensors or wearables data to augment self-reported patient information.
Sharib Khan, MD, MA, MPH CEO & Cofounder, Applied Informatics Inc 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 Applied Informatics and TrialX, he is responsible for developing and executing the product development vision at both the healthcare IT companies. 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, Applied Informatics Inc Chintan Patel is a biomedical informatician and co-founder of Applied Informatics and TrialX. 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.