Marc Juaire, CPSA, MBA, Principal Solutions Executive, VelocityEHS
Safety management systems have reduced minor injuries, but Serious Injuries and Fatalities (SIF) are declining much slower. Many near misses and incidents could potentially lead to SIFs if circumstances were slightly different, highlighting the need for better identification and intervention.
Artificial intelligence can help organisations analyse incident and near miss data to identify potential SIFs, notify leaders, and provide actionable insights into hazards, root causes, and preventive measures. This ensures proactive steps to eliminate life altering risks.
While addressing pSIF incidents is crucial, it remains reactive. Mature organisations go further by using Job Safety Analyses (JSAs) to assess risks and identify necessary controls, though these processes can be subjective and time intensive.
Key Takeaways
- Learn why Serious Injuries and Fatalities (SIFs) are declining at a slower rate than minor injuries and how near misses and incidents with SIF potential can be better identified to prevent future occurrences.
- Discover how AI can analyse incident and near miss data to identify potential SIFs, notify leaders, and provide insights into hazards, root causes, and preventive measures to eliminate life altering risks.
- Gain insights into the value of proactive risk assessment through JSAs and how to overcome the challenges of subjectivity and time intensity in improving workplace safety.
