White paper focuses on predictability of workplaces injuries

A new white paper 'Predictive Analytics in Workplace Safety: Four Safety Truths that Reduce Workplace injuries,' has been released by Predictive Solutions Corporation, an Industrial Scientific company

'Predictive Analytics in Workplace Safety: Four Safety Truths that Reduce Workplace Injuries,' is a resource for workplace safety professionals exploring how advanced and predictive analytics can help prevent workplace injuries.

The white paper summarises pioneering research conducted by teams from Predictive Solutions and Carnegie Mellon University (CMU) in the development of powerful safety analytics and prediction models. The same CMU team helped develop the Watson supercomputer that originally gained fame by beating the top "Jeopardy" game show champions, and is now being used to help doctors make better medical diagnoses.

Identified in the white paper are actionable insights from the research distilled down to four truths about safety observation and inspection data that form the basis of workplace injury prevention activities. The paper makes a case for why safety leading indicators, rather than lagging indicators, should be used as the drivers of workplace injury prevention programs.

"Many people have wondered if workplace injuries really can be predicted and prevented," says Griffin Schultz, general manager of Predictive Solutions. "And the simple answer is yes, workplace injuries and safety incidents can be reduced by predicting them before they happen. When the results of the research outlined in this paper are applied to workplace safety, we are one step closer to the vision many of us share of sending every employee home safe, every day." To download the white paper, visit www.predictive solutions.com/ reduce-workplace-injuries/.