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DEVELOPING A DATADRIVEN SAFETY ASSESSMENT FRAMEWORK FOR RITE COMMUNITIES IN WASHINGTON STATE FINAL PROJECT REPORT by Sinai Wang, Wei Sun, Hào Yang, Christopher Attacker, Sam Record, and Shut University
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01
Define safety goals and key performance indicators (KPIs)
02
Identify relevant data sources and collect necessary data
03
Implement data analysis tools and techniques
04
Develop actionable insights and recommendations based on data analysis
05
Implement safety improvement initiatives based on data-driven recommendations
06
Monitor and evaluate the effectiveness of safety measures using data metrics

Who needs developing a data-driven safety?

01
Organizations in high-risk industries such as construction, manufacturing, and healthcare
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Safety managers and supervisors looking to enhance safety practices and reduce incidents
03
Regulatory bodies and government agencies responsible for ensuring safety compliance
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Any organization looking to make informed decisions and improve safety outcomes based on data
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Developing a data-driven safety involves utilizing data and analytics to enhance safety protocols and decision-making within an organization.
Developing a data-driven safety may be required to be filed by organizations in certain industries or jurisdictions.
Filling out a data-driven safety report typically involves collecting relevant data, analyzing it, and implementing safety measures based on the findings.
The purpose of developing a data-driven safety is to improve overall safety performance, minimize risks, and prevent accidents or incidents.
The information to be reported on a data-driven safety report can vary but often includes incident data, safety measures implemented, and outcomes.
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