Risk prevention and mitigation will almost only spring from an awareness of risk. Sometimes fatigue risk is obvious, sometimes it sneaks up on you.
Even though a bio-mathematical fatigue model, such as BAM, will have limited precision when predicting a single individual, there's general applicability in the predictions of elevated risk.
Becoming aware of sleep debt, time to next warning limit and current KSS levels can assist in creating the needed awareness, well ahead of time, which will induce preventive and mitigating actions.
CrewAlert, the leadning 'fatigue app' for airline crew on Appstore, now allows for home-screen widgets as seen in the picture, but also clear visualizations on the Apple Watch. By tailoring CrewAlert to yourself in terms of diurnal type, habitual sleep length, commute time, warning levels, logging your prior sleep and also loading your roster data - predictions become as good as current science allows for. With rapidly changing rosters and new 'innovative' operating patterns from your planning department, CrewAlert is built for making the most out of sleep/performance science to support you remaining alert at work.
Check out CrewAlert on the Appstore.
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