NEWS COMMENTARY

U.S. FDA collaborates with Apple, Biofourmis, Biovotion, Yale University, and Mayo Clinic to study digital endpoints of heart disease

Published:
July 19, 2019
Coverage:
Digital Transformation More...
Activities:
Partnership
Very important

This study signals the emergence of a new generation of clinical trials that takes advantage of portable medical-grade wearables and digital therapeutic platforms for clinically defined endpoints. Unlike the Apple Heart Study, this partnership here is unique in having the involvement of a major healthcare regulator and different companies, allowing a broader assessment across devices and analytic platforms. In addition to examining "hard" outcomes like mortality and hospitalization rates, digital health tools also provide insights into patient satisfaction and well-being. Clients should note the trend toward patient-centric endpoints and engage in opportunities that place importance on the patient experience. 

For the original news article, click here .


Further Reading

The where of care: New physical locations for care provision unlock healthcare opportunities

Analyst Insight | October 22, 2020

Introduction With the significant growth in adoption of wearables and smartphones, there has been a shift in expectations surrounding where the provision of care happens from traditional locations like hospitals and clinics to the home and environment. These devices increasingly function as data ... Not part of subscription

Transitioning From Wellness to Health: How digital wellness tools are impacting the healthcare landscape

State of the Market Report | March 12, 2021

As the lines between health and wellness become increasingly blurred due to the increasingly powerful capabilities of consumer devices, it is important to have an understanding of the spectrum between commercial wellness products and medical devices with specific clinical applications. In this ... Not part of subscription

Opsis Health develops software to identify mental health conditions in elders in Singapore

News Commentary | July 21, 2021

Identifying and intervening to support mental health conditions in the elderly is both a quality of life issue and key for managing common comorbidities like diabetes and cognitive decline. Opsis Health has developed a machine learning algorithm to identify conditions based on voice and facial ... Not part of subscription