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ABSTRACT. The purpose of this study was to empirically examine the relationship between Internet of Things-enabled smart devices, biomedical big data, and real-time clinical monitoring in COVID-19 patient health prediction. Building my argument by drawing on data collected from Accenture, Deloitte, GlobalWebIndex, GSMA, KRC Research, and Statista, I performed analyses and made estimates regarding the role of telehealth services in cutting down the transmission of COVID-19. The structural equation modeling technique was used to test the research model.

Keywords: biomedical big data; COVID-19; real-time clinical monitoring

How to cite: Sheares, G. (2020). “Internet of Things-enabled Smart Devices, Biomedical Big Data, and Real-Time Clinical Monitoring in COVID-19 Patient Health Prediction,” American Journal of Medical Research 7(2): 64–70. doi:10.22381/AJMR7220209

Received 13 July 2020 • Received in revised form 24 October 2020
Accepted 26 October 2020 • Available online 29 October 2020

Gavin Sheares
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cyber-Physical Smart
Manufacturing Systems Research Unit
at CLI, Melbourne, Australia

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