By Josh Savit, Senior Manager, Predictive Safety

Data science has already begun to revolutionize banking, business, and healthcare, and the same is becoming true for occupational health and safety, creating leading indicators that can prompt actionable results that make workplaces safer.

Two examples are Predictive Safety’s Fatigue Monitoring System (PRISM), and their Cognitive Impairment Detection platform (AlertMeter) which have been in use at two major mine sites, (more than 3,000 employees) in South Africa for the past few years. As comprehensive systems in a progressive safety culture, these systems have demonstrated the value of predictive analytics in reducing risk in everyday occupational settings.

This presentation will show the how high tech and low tech practices can be combined in a 3-Step Program to make workers aware of their own fatigue and impairment levels (Prediction and Detection), providing supervisors and employees with proactive countermeasures that can be self-managed or brought into focus for intervention (Mitigation), reducing the number and costs of accidents. The outcome demonstrates that fatigue and alertness management correlates with improved safety performance to mitigate a broad range of risky human behaviors that often go undetected until accidents occur.