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Translational gaps and opportunities for medical wearables in digital health
Shuai Xu1,2,3,4,5, Joohee Kim1, Jessica R Walter1,6
1Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA.
Abstract:
A confluence of advances in biosensor technologies, enhancements in health care delivery mechanisms, and improvements in machine learning, together with an increased awareness of remote patient monitoring, has accelerated the impact of digital health across nearly every medical discipline. Medical grade wearables-noninvasive, on-body sensors operating with clinical accuracy-will play an increasingly central role in medicine by providing continuous, cost-effective measurement and interpretation of physiological data relevant to patient status and disease trajectory, both inside and outside of established health care settings. Here, we review current digital health technologies and highlight critical gaps to clinical translation and adoption.
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