Studies have shown that healthy lifestyle behaviors, including sleep, diet, exercise, and stress reduction, can help to prevent and manage, and even prevent Type II Diabetes and Hypertension. NYU Langone partnered with Google Cloud and Maven Wave to create a technology platform that gathers real-time sleep, nutrition, and physical activity data from connected mobile devices.
The data enables NYU Langone to provide deep insights to its clinicians and personalized messages for its patients to optimize adherence to sleep, diet, and physical activity. In this webinar, you will hear from NYU Langone’s Dr. Azizi Seixas, Assistant Professor in the Department of Population Health and Department of Psychiatry, and others on how to:
- Apply insights from a virtualized pragmatic trial
- Capture health data from IoT devices through home-monitoring and in-clinic, and translate that data into meaningful insights
- Leverage patient-generated data to triage patients affected by T2D, HTN
- Deliver personalized push-based reminders to promote adherence
Azizi Seixas, Ph.D.
Assistant Professor, Department of Population Health and Department of Psychiatry
NYU Langone Health
Enterprise Customer Engineer