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ABSTRACT. This article presents an empirical study carried out to evaluate and analyze artificial intelligence-driven smart healthcare services. Building my argument by drawing on data collected from AT&T, Business Insider, Deloitte, IDC, McKinsey & Co., PAC, and Statista, I performed analyses and made estimates regarding number of machine-to-machine connections worldwide (2014–2021, in billions), how the vast majority of Internet of Medical Things is deployed on the operational side of healthcare (%), how digitized organizations source capabilities and talent needed for artificial intelligence work (% of respondents), percentage of connected medical devices today and in five years’ time, U.S. wearable ownership by demographics (%), and most significant barriers organizations face in adopting artificial intelligence (% of respondents). Data collected from 4,400 respondents are tested against the research model by using structural equation modeling.

Keywords: smart healthcare service; wearable medical device; body sensor network

How to cite: Durkin, Kerry (2019). “Artificial Intelligence-driven Smart Healthcare Services, Wearable Medical Devices, and Body Sensor Networks,” American Journal of Medical Research 6(2): 37–42. doi:10.22381/AJMR6220195

Received 16 June 2019 • Received in revised form 17 September 2019
Accepted 18 September 2019 • Available online 22 September 2019

Kerry Durkin
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Precision Medicine
at ISBDA, London, England

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