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App Usage Factor: A Simple Metric to Compare the Population Impact of Mobile Medical Apps
Lewis et al noted, "Risk is proportional to the number of patients affected, so disease prevalence or similar indices of the number of people likely to be affected by an error need to be considered."
It follows that a less harmful app used by a large population could pose a greater overall population safety risk than a more harmful app used by a small population.
J Med Internet Res 2015;17(8):e200
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mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use
J Med Internet Res 2014;16(9):e210
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Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research
Thomas Lorchan Lewis, Matthew Alexander Boissaud-Cooke, Timothy Dy Aungst
A graph showing cumulative number of Pub Med search results by year since 1975 for keywords related to mobile applications (search carried out on April 7, 2014).
We appreciate the thoughtful and important comment of Lewis et al and fully agree about the need of a consistent terminology for mobile apps, as well as the preferential use of the term “app”.
J Med Internet Res 2014;16(7):e174
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A Systematic Self-Certification Model for Mobile Medical Apps
J Med Internet Res 2013;15(4):e89
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