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