ArticleFrontiers in public health2025
Cybersecurity governance in the healthcare sector during digital transformation: an integrated model and hybrid analytical approach.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Understanding the role of cybersecurity in the internet of things within the health sector: an empirical study.Frontiers in public health · 2026Article
- Determinants of information security policy compliance: integrating task-technology fit and threat avoidance appraisals in the digital workplace.Frontiers in psychology · 2026Article
- Assessing parent privacy awareness and coping appraisals in the adoption of child-monitoring technologies.Frontiers in psychology · 2026Article
- A matter of child monitoring: a multistage analysis examining factors influencing parent use behavior of parental control apps.Frontiers in psychology · 2026Article
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Authors and funding
2 authors.
Funding
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Abstract
Introduction: Digital transformation is increasingly relied upon in the healthcare sector, enhancing service efficiency but posing security challenges related to privacy and trust. With the increasing use of digital technologies, cybersecurity issues are becoming more critical, especially given the risks of breaches and data leaks. Therefore, understanding the impact of security factors on employee security behavior during digital transformation is critical. Methods: Based on general deterrence theory and protection motivation theory, this study developed a research framework for examining digital transformation factors, such as complexity (the interconnectedness of diverse digital health systems) and exploitability (the potential for vulnerabilities in those systems to be leveraged by attackers), and cybersecurity-related factors, such as privacy, trust, and awareness, and to understand how they influence employee behavior in healthcare. Data were collected from 252 healthcare workers in Saudi Arabia and analyzed using structural equation modeling and artificial neural networks. Results: The results showed that trust, exploitability, awareness, and certainty of punishment significantly impact security behavior during digital transformation. Privacy concerns and complexity were also found to significantly influence threat assessment and response evaluation. However, consistent with some studies in managed security environments, perceived vulnerability, perceived threat, and self-efficacy had no impact on security behavior. Finally, the study presents its theoretical and applied contributions and recommendations for future research.
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