Establishment-level safety analytics: a scoping review

• Published in: International journal of occupational safety and ergonomics 2024-04, Vol.30 (2), p.559-570
• Main Authors: Foreman, Anne M., Friedel, Jonathan E., Ezerins, Maira E., Matthews, Riggs, Nicholson, Royale E., Wellersdick, Logan, Bergman, Shawn, Açıkgöz, Yalcin, Ludwig, Timothy D., Wirth, Oliver
• Format: Article
• Language: English
• Subjects: Accidents, Occupational - prevention & control; data analytics; data mining; Humans; injuries; Occupational Health; Occupational Injuries - epidemiology; Occupational Injuries - prevention & control; occupational safety; Safety Management - methods
• ISSN: 1080-3548; 2376-9130
• DOI: 10.1080/10803548.2024.2325301

The use of data analytics has seen widespread application in fields such as medicine and supply chain management, but their application in occupational safety has only recently become more common. The purpose of this scoping review was to summarize studies that employed analytics within establishments to reveal insights about work-related injuries or fatalities. Over 300 articles were reviewed to survey the objectives, scope and methods used in this emerging field. We conclude that the promise of analytics for providing actionable insights to address occupational safety concerns is still in its infancy. Our review shows that most articles were focused on method development and validation, including studies that tested novel methods or compared the utility of multiple methods. Many of the studies cited various challenges in overcoming barriers caused by inadequate or inefficient technical infrastructures and unsupportive data cultures that threaten the accuracy and quality of insights revealed by the analytics.