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ABSTRACT. The purpose of this study was to empirically examine big healthcare data analytics in Internet of Medical Things. Building my argument by drawing on data collected from Accenture, Aruba, AT&T, Deloitte, GE Healthcare, IDC, MIT Technology Review Insights, and PAC, I performed analyses and made estimates regarding benefits delivered by machine learning-enabled processes in healthcare organizations. The structural equation modeling technique was used to test the research model.

Keywords: big healthcare data analytics; Internet of Medical Things

How to cite: Allen, Margaret (2020). “Big Healthcare Data Analytics in Internet of Medical Things,” American Journal of Medical Research 7(1): 48–54. doi:10.22381/AJMR7120207

Received 15 January 2020 • Received in revised form 10 April 2020
Accepted 11 April 2020 • Available online 18 April 2020

Margaret Allen
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Big Data Analytics Research Unit
at ISBDA, Edinburgh, Scotland

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