ABSTRACT. This article reviews and advances existing literature concerning the relationship between medical big data processing mechanisms and real-time patient health monitoring. Using and replicating data from Accenture, Ericsson ConsumerLab, GMInsights, GrowthEnabler, PAC, and Zebra Technologies, I performed analyses and made estimates regarding global Internet of Things market share by sub-sector (%), experienced and new users of wearables by age group (%), percent allocated by healthcare organizations of their annual IT budgets to investments for Internet of Medical Things solutions, and U.S. healthcare artificial intelligence market size, by application (2025, $ million). Data were analyzed using structural equation modeling.

Keywords: medical big data processing; real-time patient health monitoring

How to cite: Heuston, Dennis (2019). “Medical Big Data Processing Mechanisms and Real-Time Patient Health Monitoring,” American Journal of Medical Research 6(2): 55–60. doi:10.22381/AJMR6220198

Received 7 June 2019 • Received in revised form 10 September 2019
Accepted 11 September 2019 • Available online 22 September 2019

Dennis Heuston
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Big Data Algorithmic Analytics Laboratory
at ISBDA, Vancouver, Canada

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