@article{article_1769141, title={Wearable Technologies and Internet of Things for Real-Time Hazard Monitoring in Occupational Health and Safety: A Systematic Content Analysis}, journal={Innovative Approaches to Engineering Problems}, volume={1}, pages={45–54}, year={2025}, author={Yurtcu, Ahmet}, keywords={Giyilebilir teknolojiler, Nesnelerin İnterneti (IoT), İş sağlığı ve güvenliği (OHS), Tahmine dayalı güvenlik modelleri, Etik ve gizlilik}, abstract={The rapid digitalisation of work under Industry 4.0 has introduced both opportunities and challenges for occupational health and safety (OHS). Wearable and Internet of Things (IoT) technologies are increasingly deployed to enable real-time monitoring, predictive analytics, and proactive risk management, advancing the concept of “Safety 4.0.” This study conducts a systematic content analysis of international literature published between 2010 and June 2025, synthesising evidence across device types, industrial sectors, predictive safety integration, and ethical concerns. Findings show that monitoring devices such as smart helmets, wristbands, and connected vests dominate the literature, with strong uptake in high-risk sectors like construction, mining, and manufacturing, while healthcare and logistics are emerging areas of adoption. Thematic analysis highlights the evolution of personal protective equipment into active sensing platforms, the integration of AI for predictive safety models, and case studies demonstrating measurable reductions in accidents and compensation costs. However, the review also reveals fragmented ethical analyses, with privacy, surveillance, consent, and data governance frequently cited as barriers to adoption. Regional disparities and sector-specific challenges persist, underscoring the need for interdisciplinary frameworks that balance technical performance with worker autonomy, fairness, and regulatory compliance. The study concludes by identifying gaps in longitudinal evidence, cross-sectoral comparison, and global coverage, and calls for future research to integrate engineering, ethics, data science, and policy to ensure that Safety 4.0 advances both productivity and worker well-being.}, number={2}, publisher={Yalova Üniversitesi}