OBJECTIVES:  This study was designed to understand consumer likelihood to adopt a mobile application designed to allow individuals to view their personal health record on a mobile device as a function of risk tolerance of private medical data leaks, including variability by various demographics. METHODS:  A representative (U.S.) sample of 1,000 adults completed an online survey about their interest in an EHR mobile application. Interest in the application was elucidating using a 7-point Likert scale and a standard gamble (SG) exercise. The multivariate relationship between overall likelihood of mobile application use and SG utilities, education level, age, income level, and satisfaction with personal physician was assessed. RESULTS:  Prior to any indication of a potential privacy risk, 31% of consumers indicate they would be very likely to download an EHR mobile application (rated 6 or 7 on 7-point Likert scale; 4.0 mean). This likelihood decreased with age. After introducing variable levels of privacy risk, and within the multivariate framework, age and educational level revealed inverse statistical associations with risk tolerance (greater age and educational achievement were less likely to download the hypothetical app). In contrast, higher income levels and higher levels of patient satisfaction with their physicians were associated with greater likelihood to download. These results were statistically significant at α = 0.05. CONCLUSIONS:  One in three consumers reports they would be very likely to download an EHR mobile application. Younger demographics are more likely to download the app and are more accepting of risk of those data being leaked to a 3^rd party. While the likelihood to download the app increases with income level, higher levels of education may actually reduce the likelihood of downloading. Physician satisfaction is also a driver of increased likelihood to download the application.