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/.