Predict and Prevent OH&S Related Incidents

Occupational Health & Safety


Organisations are predicting when safety related incidents are likely to occur. This significantly improves the safety of employees and customers, especially in roles that involve physical labour, trades, travel, vehicle operators and all non-desk work.


Advanced predictive analytics can determine the likelihood of workplace incidents after significant overtime or surrounding sick and annual leave.


Similarly, the likelihood of workplace incidents occurring during certain activities, weather events, environmental conditions, time of year and many other potentially predictable scenarios can be assessed by industry so that mitigation strategies can be put in place to reduce the likelihood of incidents.


Finally, organisations are even using machine vision and sensors to identify incidents that occur in real time such as people falling, presence of smoke and spills with the aim of reducing response times.

Data Collected

Incident Data

Environmental Data

HR & Timesheet Data

Key Technologies and Processes

Collect and Centralise the Data

Transform the Data into Useful Insights and Predictors


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