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App Usage Factor: A Simple Metric to Compare the Population Impact of Mobile Medical Apps

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."

Thomas Lorchan Lewis, Jeremy C Wyatt

J Med Internet Res 2015;17(8):e200


Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research

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).

Thomas Lorchan Lewis, Matthew Alexander Boissaud-Cooke, Timothy Dy Aungst, Gunther Eysenbach

J Med Internet Res 2014;16(7):e174