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Updated: Jul 27, 2025

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Establishment-level occupational safety analytics: Challenges and opportunities.

Anne M Foreman1, Jonathan E Friedel1,2, Timothy D Ludwig3

  • 1National Institute for Occupational Safety and Health, USA.

International Journal of Industrial Ergonomics
|June 8, 2023
PubMed
Summary
This summary is machine-generated.

Big data analytics can predict and prevent workplace injuries. This paper advocates for wider use of establishment-level safety analytics, highlighting current gaps and future research directions.

Keywords:
Big dataData cultureInjuriesNear missesOccupational safetySafety analytics

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Area of Science:

  • Occupational Safety and Health
  • Data Science
  • Business Analytics

Background:

  • Big data and advanced analytics offer significant potential for predicting and preventing workplace injuries.
  • Occupational safety has not fully leveraged analytics compared to sectors like supply chain management and healthcare.
  • Much valuable data collected by organizations remains unanalyzed, missing opportunities for safety improvements.

Purpose of the Study:

  • To advocate for the expanded implementation of establishment-level safety analytics.
  • To define key terms, review existing research, and identify essential components for safety analytics.
  • To outline critical knowledge gaps and propose future research directions in this field.

Main Methods:

  • Literature review of previous research in occupational safety analytics.
  • Conceptual framework development for establishment-level safety analytics.
  • Categorization of knowledge gaps and future research areas.

Main Results:

  • Identification of lagging adoption of analytics in occupational safety compared to other industries.
  • Definition of establishment-level safety analytics and its components.
  • Categorization of research gaps into readiness, methods, technology, data culture, and impact.

Conclusions:

  • Broader application of establishment-level safety analytics is crucial for advancing occupational safety.
  • Addressing identified knowledge gaps is essential for unlocking the full potential of safety analytics.
  • Future research should focus on analytics readiness, methods, technology integration, data culture, and impact assessment.