A security risk perception model for the adoption of mobile devices in the healthcare industry

Alex Alexandrou, Pace University

Abstract

The widespread adoption and use of mobile devices in medical institutions, while beneficial, can also create security concerns for healthcare practitioners: physicians, nurses, information technology (IT) administrators, and healthcare management. To understand how healthcare practitioners perceive the security risks associated with mobile devices, the author developed a research model. This model suggests that a healthcare practitioner’s security perception is related to multiple subjective beliefs which could indirectly impact their behavior intentions when using the devices and adopting security controls in the workplace. Furthermore, the research studied the differences in perception among healthcare practitioners when mobile devices are provided either by healthcare institutions, Hospital-Provided-Devices, (HPD) or by themselves, Bring-Your-Own-Devices (BYOD). The study incorporates mixed research by layering two different methods. First, using quantitative research, the author conducted an empirical study of a proposed model, recruiting 264 healthcare practitioners from three hospitals and its affiliated clinics to participate in a written survey. Second, using a post-survey qualitative interview, the study constructed open-ended questions to investigate the safeguard cost of using mobile devices to access medical information. Through the empirical study, the researcher discovered that the factors that impact the healthcare practitioner’s behavior depend on how the mobile devices are provided. The results provide an insight into how mobile devices are used in the healthcare industry.^

Subject Area

Computer science

Recommended Citation

Alex Alexandrou, "A security risk perception model for the adoption of mobile devices in the healthcare industry" (January 1, 2016). ETD Collection for Pace University. Paper AAI10097933.
http://digitalcommons.pace.edu/dissertations/AAI10097933

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