Sustaining Innovations and Disruptive Technologies: Implications for Mobile Health (mHealth) Care Platforms

Date

2017-12

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Abstract

mHealth technology is at the dawn of its effect on humanity and global health. Just as the cell phone rapidly morphed from a sustaining local innovation to a global disruptive innovation, mHealth technology and ecosystems will rapidly morph and expand beyond their original scope.
This paper proposes a limited, predictive analytic method approach to consider mHealth elements. Based on deconstructionist theories of Foucault, affordance theories of Gibson, forecasting theories of Tetlock, and a simple Fermi Estimation prediction model, a simple predictive model for comparing mHealth elements in an IoT wireless ecosystem is presented.

The necessity for frictionally more cost-effective health care solutions is one that mHealth technology can effectively address. Improved forecast methodology assists in selecting the “most right” mHealth specific methods and technologies to develop and pursue.

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Keywords

Wireless communication systems in medical care, Disruptive technologies, Internet of things, Markov processes, Kalman filtering, Technological forecasting

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Copyright ©2017 is held by the author. Digital access to this material is made possible by the Eugene McDermott Library. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

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