ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore wearable Internet of Medical Things sensor devices, artificial intelligence-driven smart healthcare services, and personalized clinical care in COVID-19 telemedicine. Using and replicating data from Accenture, Deloitte, GlobalWebIndex, GSMA, KRC Research, and Philips, I performed analyses and made estimates regarding the role of artificial intelligence-based digital technologies in improving COVID-19 detection and diagnosis. Data were analyzed using structural equation modeling.

Keywords: Internet of Medical Things; smart healthcare; COVID-19; telemedicine

How to cite: Sawyer, J. (2020). “Wearable Internet of Medical Things Sensor Devices, Artificial Intelligence-driven Smart Healthcare Services, and Personalized Clinical Care in COVID-19 Telemedicine,” American Journal of Medical Research 7(2): 71–77. doi:10.22381/AJMR72202010

Received 11 July 2020 • Received in revised form 25 October 2020
Accepted 27 October 2020 • Available online 29 October 2020

Jennifer Sawyer
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The Institute of Smart Big Data Analytics,
New York City, NY, USA

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