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