Research on evidence-based safety management modefrom perspective of big data

doi:10.16265/j.cnki.issn1003-3033.2018.06.002

Abstract

Abstract: In order to improve the reliability of EBS decision-making and find the best evidence support for safety decisions,firstly,on the basis of fully researching the related theories of big data and EBS,a concept of safety evidence was put forward.Then the characteristics of safety evidence from the perspective of big data were analyzed.The five-level safety evidence system was summarized.On this basis,an EBS management mode was proposed from the perspective of big data,and specific connotations of the mode and the flow of safety information in the mode were analyzed.Finally,the prospect and advantages of big data applied in EBS were discussed,and 3 suggestions for promotion were given.The results show that the application of big data is the new direction of EBS management development,and that the EBS management mode and five-level safety evidence system proposed are helpful in providing theoretical guidance for its development.

Key words: safety management, big data, evidence-based safety (EBS), safety decision, safety evidence

CLC Number:

X921

SHAN Shunzhang, WU Chao, WANG Conglu, WANG Bing. Research on evidence-based safety management modefrom perspective of big data[J]. China Safety Science Journal, 2018, 28(6): 7-12.

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