4/3/2012<< Back to Facilities Management Press Releases Home
Predictive Solutions Releases New White Paper on Four Safety Truths in Workplace Safety
PITTSBURGH -– 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. It is a resource for workplace safety professionals on cutting-edge, advanced and predictive analytics to help prevent workplace injuries.
The white paper summarizes 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.”
For a free download of the white paper, visit www.predictivesolutions.com/reduce-workplace-injuries/.
About Predictive Solutions Corporation Predictive Solutions Corporation, formerly DBO2, saves lives by predicting workplace injuries. Its safety software solutions help track, trend and analyze safety-related data. They also employ proprietary models that predict the likelihood, frequency and location of workplace injuries using its customers’ safety observation data. In addition, Predictive Solutions delivers consulting services that drive culture and process change within organizations to create sustainable workplace injury prevention programs. With more than 100 million observations and nearly 40,000 reported incidents from more than 15,000 worksites around the world, Predictive Solutions has emerged as an industry leader in predicting injuries before they occur. Predictive Solutions, based in Pittsburgh, Pa., was founded in 2001 and became an Industrial Scientific company in 2008. Its employees, along with those of its parent company, are dedicating their careers to ending death on the job in this century. For more information, visit www.predictivesolutions.com.
About Industrial Scientific Corporation Industrial Scientific Corporation is the world’s leading provider of Gas Detection as a Service. With more than 850 people working in 20 countries, Industrial Scientific is dedicated to eliminating death in the workplace by the end of this century. Achieving this goal requires dedication to delivering highest quality and best customer service in all transactions. Industrial Scientific also focuses on providing analysis of data from equipment use and maintenance to identify problems before they happen. Industrial Scientific has operations based in Pittsburgh (USA), Arras (France), Dortmund (Germany) and Shanghai (China). The company provides technical services to customers from local service centers around the world, and has additional offices in Australia, Bahrain, Brazil, Canada, Czech Republic, India, Indonesia, Italy, Mexico, Netherlands, Poland, Qatar, Saudi Arabia, Singapore, United Arab Emirates and the United Kingdom. Industrial Scientific is the parent company to Oldham (www.oldhamgas.com) and Predictive Solutions Corporation (www.predictivesolutions.com). For more information, visit www.indsci.com.