chunk1

ABSTRACT. The purpose of this study was to empirically examine smart Internet of Things-enabled mobile-based health monitoring systems and medical big data in COVID-19 telemedicine. Building our argument by drawing on data collected from Accenture, Amwell, BMA, CFPC, CMA, Deloitte, eMarketer, KPMG, McKinsey, Mercer, RCPSC, Sykes, and Syneos Health, we performed analyses and made estimates regarding the shift to telemedicine during the COVID-19 pandemic. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: COVID-19; telemedicine; medical big data; health monitoring system

How to cite: Carter, D., Kolencik, J., and Cug, J. (2021). “Smart Internet of Things-enabled Mobile-based Health Monitoring Systems and Medical Big Data in COVID-19 Telemedicine,” American Journal of Medical Research 8(1): 20–29. doi: 10.22381/ajmr8120212.

Received 2 December 2020 • Received in revised form 16 February 2021
Accepted 22 February 2021 • Available online 28 February 2021

Daniel Carter
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Data-driven Automated
Decision-Making at ISBDA, Detroit, MI, USA
(corresponding author)
Juraj Kolencik
This email address is being protected from spambots. You need JavaScript enabled to view it.
Department of Economics,
Faculty of Operation and Economics
of Transport and Communications,
University of Zilina, Zilina, Slovak Republic
Juraj Cug
This email address is being protected from spambots. You need JavaScript enabled to view it.
Department of Economics,
Faculty of Operation and Economics
of Transport and Communications,
University of Zilina, Zilina, Slovak Republic

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

 
Joomla templates by Joomlashine