U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Advancing safety analytics: A diagnostic framework for assessing system readiness within occupational safety and health

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Saf Sci
  • Personal Author:
  • Description:
    Big data and analytics have shown promise in predicting safety incidents and identifying preventative measures directed towards specific risk variables. However, the safety industry is lagging in big data utilization due to various obstacles, which may include lack of data readiness (e.g., disparate databases, missing data, low validity) and personnel competencies. This paper provides a primer on the application of big data to safety. We then describe a safety analytics readiness assessment framework that highlights system requirements and the challenges that safety professionals may encounter in meeting these requirements. The proposed framework suggests that safety analytics readiness depends on (a) the quality of the data available, (b) organizational norms around data collection, scaling, and nomenclature, (c) foundational infrastructure, including technological platforms and skills required for data collection, storage, and analysis of health and safety metrics, and (d) measurement culture, or the emergent social patterns between employees, data acquisition, and analytic processes. A safety-analytics readiness assessment can assist organizations with understanding current capabilities so measurement systems can be matured to accommodate more advanced analytics for the ultimate purpose of improving decisions that mitigate injury and incidents.
  • Subjects:
  • Source:
    Saf Sci. 146:105569-105581
  • Pubmed ID:
    37204991
  • Pubmed Central ID:
    PMC10191184
  • Document Type:
    Journal Article
  • Funding:
    CC999999/ImCDC/Intramural CDC HHSUnited States/
  • Volume:
    146
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:23a57f2e0246fb3805ac5f6224630ad224525753fd41ee31e70b689c40104ed2
  • Download URL:
  • File Type:
    Filetype[PDF - 1.01 MB ]
PREVIOUS
File Language:
English
ON THIS PAGE
Details Supporting Files
CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP