chunk1

ABSTRACT. Empirical evidence on smart biomedical sensors, big healthcare data analytics, and virtual care technologies in monitoring, detection, and prevention of COVID-19 has been scarcely documented in the literature. Using and replicating data from Amwell, Ericsson ConsumerLab, Deloitte, DHS, Kyruus, McKinsey, and PwC, I performed analyses and made estimates regarding how telehealth can facilitate real-time interaction between quarantined patients with COVID-19 and medical providers. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: COVID-19; big healthcare data analytics; virtual care technology

How to cite: Morris, K. (2021). “Smart Biomedical Sensors, Big Healthcare Data Analytics, and Virtual Care Technologies in Monitoring, Detection, and Prevention of COVID-19,” American Journal of Medical Research 8(1): 60–70. doi: 10.22381/ajmr8120216.

Received 12 December 2020 • Received in revised form 18 February 2021
Accepted 23 February 2021 • Available online 28 February 2021

Kevin Morris
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Big Data-driven Algorithmic
Decision-Making at ISBDA, Portland, OR, USA

Home | About Us | Sales | Author's Page | Journals | Abstracting & Indexing | Contributors | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

 
Joomla templates by Joomlashine