Abstract

Although a plethora of mobile health (mHealth) applications containing user data and patient generated health data (PGHD) exist, there appears to be a research gap addressing the user’s susceptibility of cross- contamination of data. The objective of this study is to seek a deeper understanding of the risk of cross- contamination of health data from the use of multiple mHealth applications, wearables, and other Internet of Things (IoT) devices. Through the review of recent publications addressing the prevalent information leaks in Android devices, the cross-talk between mobile applications, the vulnerability of mHealth applications, and user habits in regard to account creation this research study aims to explore the possibility that the user data, although held in silos, can be penetrated to create a compilation of the users' comprehensive health information.

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mHealth Cross-Contamination of User Health Data: Android Platform Analysis

Although a plethora of mobile health (mHealth) applications containing user data and patient generated health data (PGHD) exist, there appears to be a research gap addressing the user’s susceptibility of cross- contamination of data. The objective of this study is to seek a deeper understanding of the risk of cross- contamination of health data from the use of multiple mHealth applications, wearables, and other Internet of Things (IoT) devices. Through the review of recent publications addressing the prevalent information leaks in Android devices, the cross-talk between mobile applications, the vulnerability of mHealth applications, and user habits in regard to account creation this research study aims to explore the possibility that the user data, although held in silos, can be penetrated to create a compilation of the users' comprehensive health information.