Establishment-Level Occupational Safety Analytics: Challenges and Opportunities

Details

• Personal Author:
  Açikgöz Y ; Bergman SM ; Ezerins ME ; Foreman AM ; Friedel JE ; Ludwig TD ; Wirth, Oliver
• Description:
  In occupational safety and health, big data and analytics show promise for the prediction and prevention of workplace injuries. Advances in computing power and analytical methods have allowed companies to reveal insights from the "big" data that previously would have gone undetected. Despite the promise, occupational safety has lagged behind other industries, such as supply chain management and healthcare, in terms of exploiting the potential of analytics and much of the data collected by organizations goes unanalyzed. The purpose of the present paper is to argue for the broader application of establishment-level safety analytics. This is accomplished by defining the terms, describing previous research, outlining the necessary components required, and describing knowledge gaps and future directions. The knowledge gaps and future directions for research in establishment-level analytics are categorized into readiness for analytics, analytics methods, technology integration, data culture, and impact of analytics. [Description provided by NIOSH]
• Subjects:
  Ergonomics Occupational Health Preventive Medicine Safety
• Keywords:
  Analytical Methods Author Keywords: Safety Analytics Big Data Data Culture Data Processing Health Protection Injuries Near Misses Occupational Safety Preventive Measures
• ISSN:
  0169-8141
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Arkansas ; Georgia ; North Carolina ; Ohio ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 6
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  94
• NIOSHTIC Number:
  nn:20067317
• Citation:
  Int J Ind Ergon 2023 Mar; 94:103428
• Contact Point Address:
  Anne M. Foreman, National Institute for Occupational Safety and Health, USA
• Email:
  vpc3@cdc.gov
• Federal Fiscal Year:
  2023
• NORA Priority Area:
  Construction ; Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  International Journal of Industrial Ergonomics
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:9cc133c461cc9172edef87db3a8ed7411e805e448247b121d9cd29b057cec4209fafcb3eb9879bbd02169c73b6f5c54594a3e8456c46dbb5acf975e4f16b1a0d
• Download URL:
  https://stacks.cdc.gov/view/cdc/231405/cdc_231405_DS1.pdf
• File Type:
  [PDF - 580.48 KB ]