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Company of the Month August – Fatigue Science

Can Workplace Fatigue be Predicted?

 

Fatigue Science uses validated science and wearable technology to help managers and workers analyze, manage, and predict workplace fatigue.

 

The science of sleep is largely the science of the human brain—a world we have only scratched the surface of. Yet we know enough to know that sleep, and its quality and quantity, affects every aspect of our lives.  Poor sleep is at the root of “cognitive fatigue”.  Different from “physical fatigue” that one might feel after exercise, cognitive fatigue leads to reduced alertness, slower reaction times, and impaired decision making on the job. It’s this type of fatigue that can seriously impact workplace safety.

There’s no doubt that workplace fatigue is an unavoidable consequence of our modern-day society. Leading organizations are beginning to recognize the serious effects of fatigue on workplace safety and productivity and are looking for ways to measure and manage it. Fortunately, new developments in connected technology are providing effective management tools to ensure safer, more productive, and healthier workplaces.

There are two distinct technological approaches to fatigue risk management—reactive systems that detect fatigue once symptoms occur, and predictive systems that uses sleep data and biomathematical analysis to predict if and when fatigue will occur. Reactive technologies detect fatigue once physical symptoms appear. They don’t, however, address the root cause of fatigue—poor or inadequate sleep. Predictive technology analyzes a person’s sleep to determine if and when fatigue will occur, providing both advance notice for appropriate intervention, and root-cause treatment. Predictive fatigue management uses biomathematical modelling and computer algorithms to analyze the various sleep factors that can lead to sleep problems, and from that, the probability of fatigue impairment. Sleep data for this analysis can be easily and reliably captured by a wearable device.

Fatigue Science is the leader in predictive fatigue risk management systems, which brings together the SAFTETM Biomathematical Fatigue Model, with our purpose-designed ReadiBandTM wrist-worn device. By combining validated science and wearable technology, managers and workers can finally “see”, manage, and predict workplace fatigue.

From this predictive insight, organizations have two ways to mitigates risk: Intervention and Reduction.  With daily predictive fatigue management, managers can identify the extent of high and extreme fatigue risk in a workforce, then intervene proactively as required.  Managers can reduce fatigue by discovering schedule-related pinch points and learning what structural adjustments need to be made.

Read a recent case study – Newmont-Goldcorp-CaseStudy

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