Reactive or random drug testing have been popular in many workplaces since the 80s, but the advent of predictive analytics is changing the paradigm and helping employers be more proactive in their drug and alcohol policies.
For many safety professionals, determining the causes of incidents and near misses can be a frustrating process, especially when workers fear being reprimanded. This leads to finger-pointing and scapegoating, which does nothing to identify and address the actions, behaviors, and circumstances that led to the incident, nor does it help improve the safety system.
Included in the upcoming August 10th rule on electronic reporting of workplace injuries, OSHA makes it clear that not all injuries justify post-accident drug testing, and that such mandatory policies may actually deter workers from reporting an accident.
The concept of safety culture has been gaining more widespread attention in high-hazard industries as more and more safety practitioners see the influence that workers’ attitudes and behaviors have on both the causes as well as the effects of workplace incidents.
When trying to gather interest in our services from business leaders in high-hazard industries, a colleague heard from at least one executive that said his company “did not have that many injuries” to justify improving its safety system.
The reasons for strong workplace safety programs are obvious: to protect life and limb, to avoid the costs of repairs, to avoid interruptions and obstacles in production, and to avoid citations and fines.
Dave Lauriski asserts that measuring regulatory compliance alone cannot prevent hidden risks, but data analytics like those being developed by Predictive Safety can be used to identify and manage them in a way to proactively reduce workplace incidents and fatal accidents.