Abstract
This dissertation examines characteristics related to cybersecurity practices of new nurses a year following graduation from nursing school where they may have been prepared to work in environments with EHRs. The study will explore their understanding of cybersecurity as it relates to use and protection of the sources of information in the EHRs, and their own personal risk behaviors with mobile technologies that may put them at risk to outside hacking or misuse of information. The questions that drive the study are the associations with nurses' knowledge of information system security, risk behaviors specifically with mobile device use, and their threat appraisal that may influence their personal habits and their concern for potential misuse of their own electronic health information.
Sigma Membership
Non-member
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Other
Keywords:
Mobile Devices, Protection Motivation Theory, Information Security, Privacy, Health Information Systems
Advisor
Veronica Feeg
Second Advisor
Patricia Eckardt
Third Advisor
Kenneth Ong
Degree
PhD
Degree Grantor
Molloy College
Degree Year
2018
Recommended Citation
Weiner, Keith Richard, "Health information security and privacy: A social science exploration of nurses' knowledge and risk behaviors with security and privacy issues focusing on mobile device usage" (2022). Dissertations. 1022.
https://www.sigmarepository.org/dissertations/1022
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-03-14
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 22616993; ProQuest document ID: 2287485148. The author still retains copyright.