The Implications of Psychosocial Risk Factors Among Shift Workers in The Healthcare Industry and The Potential of Advanced Technology to Influence Psychosocial Receptors and Mitigate These Risks
Psychosocial risks are increasingly recognized as a critical occupational hazard, especially in high-stress sectors like healthcare where shift work is prevalent. These risks can severely impact workers’ mental health, leading to stress, depression, sleep disturbances, anxiety, and decreased performance. Ensuring a psychologically safe working environment is not only a fundamental workers’ right but also essential for maintaining workforce stability and quality of care. This study aims to explore the key psychosocial risk factors affecting night shift workers, the implications of psychosocial risk factors among shift workers in the healthcare industry and examine the potential of advanced technologies to mitigate these risks. This paper based on an extensive review and synthesis of existing recent literatures, drawing on empirical studies, industry reports, and academic publications focusing in varies scops and keywords including psychosocial risks, shift work, and technological interventions in occupational health associated. Findings indicated that healthcare shift workers are at significantly higher risk of experiencing negative psychosocial outcomes reporting up to 33% higher prevalence of stress, depression, and anxiety compared to non-shift workers. Moreover, the review highlights promising applications of AI-driven scheduling systems and VR-based stress reduction programs that show potential in enhancing mental well-being, improving work-life balance, and supporting organizational safety and performance. This study emphasizes the urgent need for healthcare organizations to adopt proactive and innovative approaches to managing psychosocial risks. Leveraging technology can play a key role in fostering a healthier and more sustainable working environment, contributing to both employee well-being and institutional resilience.
Publication Details
- Journal
- Springer Link (Chiba Institute of Technology)
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1051/e3sconf/202565902003/pdf
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 0.00