Analysing the acceptabilityof a mHealth patient applicationfor cross border data exchange by end-users

Abstract: Healthcare has grown so fast and broad creating wider opportunities for healthcare centres and patients to manage their patient health data at their fingertips. The mHealth applicationis becoming more popular from smartwatch application to cross border health data exchange, also due to its demand in the market for self-centred health improvement. Under the project Curex, the team has developed heath applications for the doctors to request for the patient’s cross border health data, while a patient application lets the patient authorize the doctor's request andtrack the data exchange process. However, there are many concerns regarding data privacy and security with the health data duringthe cross-border data exchange. As this framework is a new entry in the market and has not been used before, the primary aim of this study is to examine and explore how to get clinicians and patients to accept the mHealth application into their workflow, as well as to examine their perspectives on health data. The main goal is to assess acceptability based on their perspectives onsharing their health data through the Curex-developed mHealth app. A traditional literature review method was used along with an interview with a heuristic approach and a 7-point Likert scale to understand the user's perspective. The results show that the acceptability of the application has a very high margin and thetrust on the application is high when the doctor recommends an mHealth application. Regarding the mHealth application specifically, the users have more concerns about data privacy and security compared to the usability and other graphical factors.From the results it can be concluded that, the acceptability of a health application can be improved when the consumer has full authority and control over their health, as well as clarity about how health data is treated by mHealth platforms. We can see the patterns of the answers in the response overview, which helps to solidify the inference.