ABSTRACT. I develop a conceptual framework based on a systematic and comprehensive literature review on healthcare services for COVID-19-infected patients. Building my argument by drawing on data collected from Accenture, Axendia, Deloitte, Gartner, GlobalWebIndex, Management Events, and YouGov, I performed analyses and made estimates regarding artificial intelligence-enabled healthcare delivery and real-time medical data analytics in monitoring, detection, and prevention of COVID-19. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 5,400 respondents.

Keywords: real-time medical data analytics; COVID-19; healthcare delivery

How to cite: Hughes, A. (2020). “Artificial Intelligence-enabled Healthcare Delivery and Real-Time Medical Data Analytics in Monitoring, Detection, and Prevention of COVID-19,” American Journal of Medical Research 7(2): 50–56. doi:10.22381/AJMR7220207

Received 19 July 2020 • Received in revised form 25 October 2020
Accepted 28 October 2020 • Available online 29 October 2020

Ashley Hughes
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The Center for Sustainable Internet-of-Things-based
Manufacturing Systems at AAER, Los Angeles, CA, USA

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