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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
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Institute of Smart Big Data Analytics,
New York City, NY, USA

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