企业级职业安全分析:挑战与机遇
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
概括
大数据分析可以预测和预防工作场所的伤害. 本文主张更广泛地使用企业级安全分析,突出目前的差距和未来的研究方向.
科学领域:
- 职业安全与健康问题 职业安全与健康问题
- 数据科学数据科学数据科学
- 业务分析 业务分析
背景情况:
- 大数据和先进分析为预测和预防工作场所伤害提供了巨大的潜力.
- 与供应链管理和医疗保健等行业相比,职业安全还没有充分利用分析.
- 许多组织收集的有价值的数据仍然未被分析,错过了安全改进的机会.
研究的目的:
- 倡导扩大机构级安全分析的实施.
- 定义关键术语,审查现有研究,并确定安全分析的基本组件.
- 概述关键的知识差距,并提出该领域未来的研究方向.
主要方法:
- 关于职业安全分析的先前研究的文献综述.
- 发展企业级安全分析的概念框架.
- 知识差距和未来研究领域的分类.
主要成果:
- 确定与其他行业相比,在职业安全领域采用分析技术的落后情况.
- 企业级安全分析及其组成部分的定义.
- 研究差距的分类:准备,方法,技术,数据文化和影响.
结论:
- 更广泛地应用企业级安全分析对于推进职业安全至关重要.
- 解决发现的知识差距对于释放安全分析的全部潜力至关重要.
- 未来的研究应侧重于分析准备,方法,技术整合,数据文化和影响评估.
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