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ABSTRACT. Despite the relevance of artificial intelligence-enabled healthcare delivery and digital epidemiological surveillance in the remote treatment of patients during the COVID-19 pandemic, only limited research has been conducted on this topic. Using and replicating data from Accenture, Amwell, Brookings, Deloitte, Gartner, Kyruus, and Sykes, I performed analyses and made estimates regarding how smart healthcare can curb the transmission of COVID-19. The results of a study based on data collected from 4,200 respondents provide support for my research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: COVID-19; artificial intelligence-enabled healthcare delivery; virtual care

How to cite: Phillips, A. (2021). “Artificial Intelligence-enabled Healthcare Delivery and Digital Epidemiological Surveillance in the Remote Treatment of Patients during the COVID-19 Pandemic,” American Journal of Medical Research 8(1): 40–49. doi: 10.22381/ajmr8120214.

Received 11 December 2020 • Received in revised form 24 February 2021
Accepted 25 February 2021 • Available online 28 February 2021

Angela Phillips
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Precision Medicine
at CLI, Manchester, England

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