ABSTRACT. Despite the relevance of Internet of Things-based medical applications, only limited research has been conducted on this topic. Using and replicating data from Accenture, Aruba, Deloitte, HIS, McKinsey & Co., and PAC, I performed analyses and made estimates regarding value to date from artificial intelligence adoption, by business function (% of respondents), business functions in which artificial intelligence has been adopted, by industry (% of respondents), worldwide revenue forecast of the home healthcare device and service market (in millions of $), and the preparedness of connected medical device manufacturers towards the implementation of industry specific and wider regulatory changes (%). The results of a study based on data collected from 4,200 respondents provide support for my research model. Using the structural equation modeling and employing the probability sampling technique, I gathered and analyzed data through a self-administrated questionnaire.

Keywords: Internet of Things; wearable sensor system; real-time health monitoring

How to cite: Fincham, Shannon (2019). “Internet of Things-based Medical Applications, Wearable Sensor Systems, and Real-Time Health Monitoring,” American Journal of Medical Research 6(2): 49–54. doi:10.22381/AJMR6220197

Received 4 June 2019 • Received in revised form 18 September 2019
Accepted 19 September 2019 • Available online 22 September 2019

Shannon Fincham
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Health Economics Research Unit
at CLI, Chicago, IL, USA

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