Technological Advancements in Occupational Health: Enhancing Workplace Safety....

Digital transformation is revolutionizing occupational health, driving safer and more efficient workplaces through tools like AI, telemedicine, and wearable technology. Yet, issues such as data privacy and digital fatigue remain critical challenges. To realize the full benefits, organizations must balance innovation with ethical data use, workforce training, and ongoing adaptation. 

Summary

        The study concludes that digital transformation is redefining occupational health, making workplaces safer and more efficient.

• Technologies like AI, telemedicine, and wearable sensors enable proactive and personalized health management.
• However, challenges persist, particularly data privacy, digital fatigue, and psychological pressure associated with technology use.
• To fully harness these innovations, organizations must adopt balanced strategies combining ethical data governance, employee education, and continuous technological adaptation.

Aim & Context

The study explores how emerging digital technologies are transforming occupational health and safety (OHS) by improving prevention, monitoring, and management of work-related health risks.

It focuses on the use of wearable devices, artificial intelligence (AI), telemedicine, electronic health records (EHRs), and immersive tools like virtual and augmented reality (VR/AR).
The author aims to demonstrate how these technologies enhance workplace safety, worker well-being, and efficiency in various sectors, especially high-risk industries such as construction and manufacturing.

Methodology

A bibliographic research approach was applied.

• The study systematically reviewed academic databases, conference papers, and industry reports.
• It synthesized findings from recent international research to identify trends, benefits, and barriers in the adoption of digital OHS technologies.
• Emphasis was placed on the practical application and integration of these tools into modern occupational health management systems.

Key Findings

1. Wearable Devices

Smartwatches and biometric sensors can continuously monitor vital signs, posture, and physical activity, detecting fatigue and exposure to hazards.
These devices have proven effective in preventing accidents and injuries in sectors like construction and manufacturing.

2. Artificial Intelligence (AI)

AI systems and machine learning models analyse large datasets to predict potential health risks and recommend preventive measures.
AI-powered chatbots and virtual assistants also support real-time decision-making and provide personalized health advice to workers.

3. Telemedicine

Remote consultations via telemedicine ensure quick access to healthcare for workers in isolated or rural environments, allowing early diagnosis and intervention in occupational illnesses.

4. Electronic Health Records (EHRs)

EHRs centralize medical data, improving coordination between employees, employers, and healthcare professionals.
They facilitate tailored interventions and ensure compliance with occupational health standards.

5. Virtual and Augmented Reality (VR/AR)

These technologies are used for safety training and simulations, offering immersive learning experiences that prepare workers for hazardous scenarios and improve situational awareness.

Takeaways for Practice

• • Integrate wearable monitoring and AI analytics into OHS systems for proactive risk management.
  • Use telemedicine and EHRs to expand access to occupational healthcare and continuity of care.
  • Apply VR/AR simulations for practical safety training in high-risk industries.
  • Address privacy, data security, and mental well-being to ensure sustainable adoption.
  • Promote interdisciplinary collaboration among engineers, healthcare providers, and policymakers for holistic occupational health improvement.

Read the full research study here;

Scandelai, N. T. (2025). Technological advancements in occupational health: enhancing workplace safety and well-being. Brazilian Journal of Development, 11(3), 1-8. https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/78096