What can be done today to prevent worker injuries and deaths tomorrow? The answer lies in the notion of predictive analytics discovered through the use of risk management software that use historical data to identify the workplace danger waiting to strike.
Rather than reacting or responding to what’s already happened, EHS leaders should be looking to anticipate and forecast potential hazards and implement necessary change and prevention strategies before an employee is harmed.
Predicting negative events or incidents that might happen in a workplace is a matter of identifying “causal factors” through data analysis, but these clues are often not apparent and likely to be hidden in variables not captured in incident reports.
A causal factor can be defined as any major unplanned or unintended contributor to an incident that if eliminated would prevent or reduce the severity or frequency of the incident. Identifying causal factors requires digging deeper into … Read more...
