Discover how clinical expertise can elevate the implementation of ISO 45001 beyond compliance. Explore practical ways to translate medical findings into meaningful risk identification, assessment, and control strategies. Through real-world scenarios and applied discussions, participants will learn to strengthen occupational health risk management by integrating clinical insight with management systems, enabling more proactive, worker-focused, and evidence-based decision-making.
Participants will:
- Understand the role of clinical insight in strengthening ISO 45001 implementation
- Learn how to integrate medical data into hazard identification and risk assessment processes
- Apply clinical findings to the selection and evaluation of risk control measures
- Recognize the importance of health surveillance data in continuous improvement of OHMS
- Strengthen collaboration between occupational health professionals and HSE management teams
Step into the future of occupational health powered by digitalization, big data, and artificial intelligence. Learn how data-driven insights, predictive analytics, and digital health tools can enhance risk monitoring, prevention, and decision-making. This session explores practical applications of emerging technologies while addressing ethical considerations, data security, and organizational readiness for a digitally connected workplace.
Participants will:
- Understand the basic concepts of Big Data and Artificial Intelligence (AI)
- Become familiar with current Big Data and AI platforms that contain data relevant to occupational health
- Learn how to input data into available, accessible, and ready-to-use platforms
- Learn how to process and utilize the data for occupational health purposes in their respective workplaces
- Learn how to create effective prompts for AI platforms
- Learn how to use AI for evidence searching
Understand psychosocial risk through modern diagnostic instruments designed to detect work-related stress early and accurately. Gain practical insight into validated tools assessing workload, job demands, and organizational factors. Learn how to interpret results and translate them into meaningful interventions that support mental well-being, resilience, and sustainable performance in today’s evolving work environment.
Participants will:
- Understand key psychosocial risk factors contributing to work-related stress
- Become familiar with validated diagnostic instruments used in psychosocial risk assessment
- Learn how to administer and interpret psychosocial assessment tools effectively
- Translate assessment results into targeted preventive and corrective interventions
- Strengthen strategies to support mental well-being and resilience in the workplace
Build confidence in evaluating work readiness using structured, practical, and defensible assessment tools. Explore approaches to assess physical, mental, and functional capacity in relation to job demands, including return-to-work scenarios. This session focuses on consistency, clarity, and real-world application—supporting informed decisions that balance worker safety, productivity, and organizational needs.
Participants will:
- Understand key principles of work readiness and fitness-for-work assessment
- Learn structured approaches to evaluate physical, mental, and functional capacity
- Apply assessment results to return-to-work and job placement decisions
- Improve consistency and documentation in internal work readiness evaluations
- Strengthen decision-making that balances safety, productivity, and organizational requirements
Unlock deeper health risk insights using the Job Exposure Matrix (JEM) as a strategic tool. Learn how exposure data can be systematically mapped to support risk profiling, epidemiological analysis, and preventive planning. Discover how JEM enables a more structured, data-driven approach to occupational health, helping organizations anticipate risks and design targeted, evidence-based interventions.
Participants will:
- Understand the concept and structure of the Job Exposure Matrix (JEM)
- Learn how to develop and apply JEM for exposure assessment and risk profiling
- Use JEM data to support epidemiological analysis and health risk evaluation
- Integrate JEM findings into preventive planning and occupational health programs
- Strengthen evidence-based decision-making through structured exposure data analysis
