Platform Feature
Accident and Incident Investigation
Understand whether fatigue contributed to an incident quickly and objectively with simple outputs: low, slight, moderate, high or very high likelihood that fatigue played a role.
Our accident and incident tool is based on the data collected in two multi-industry research studies conducted between 2022 and late 2024. Our expert team with extensive expertise in mathematics, statistics, sleep science and circadian biology undertook a thorough analysis of the data to identify a few key questions we should ask. We also built the mathematical interactions between the variables that enable the application to tell you to what extent fatigue was likely to have been a contributory factor in an accident or incident.
We believe that fatigue should be investigated as a factor in all accidents and incidents, even if there is seemingly no clear reason to suspect it as a cause. Analysis of 3 months of accident data for a client, revealed that in 69% of incidents where fatigue could have been a contributory factor, our research suggested there was an elevated risk of fatigue at the time of the event. That doesn't mean fatigue was a contributory factor, but it raises the question of whether organisations are missing or under-estimating the impact of fatigue.
As we collect more data from our customers we will continue to review and if necessary, refine our mathematical model. Our next step is to build a machine learning model to analyse data from all our customers to see if we can uncover insights that would not be possible for single organisations. Our aim is to run regular sessions for customers to share our insights and findings.
Key benefits:
- Objective, data-driven assessment of fatigue contribution
- Simple five-point output scale easy to include in formal reports
- Gain insights from your data
- Builds an organisational evidence base over time
- Available for free — forever