PRISM uses a proprietary algorithm based on chronobiology to predict when fatigue will
It is one of a handful of fatigue modeling programs that use bio-mathematical models based on a scientific understanding of the factors that contribute to fatigue. This particular algorithm also utilizes numerous other variables that predict fatigue.
It then offers countermeasures to mitigate the effects of fatigue. In the case of unexpected events outside of the work environment, PRISM gives the employee the option to “test out” with an alertness evaluation so that his fatigue level reflects a more accurate assessment. Our studies show that PRISM is accurate in calculating and predicting real-time episodes of fatigue up to four hours in advance.
This and other similar
This study of the PRISM System at the Kumba Kolomela Mine evaluates the PRISM fatigue management system’s ability to predict fatigue risk and monitor fatigue levels on an individual employee basis and provide job-specific countermeasures to mitigate the fatigue risk. Read more.
This document contains the benefits realization information that was required for follow up on the PRISM Implementation project at the Kumba Kolomela mine. The closure report defined two reporting periods for the benefits realization, one ending September 30,