ROOT CAUSE ANALYSIS OF INJURY/ILLNESS (Supplemental Form) 2025

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How to analyze data Establish a goal. First, determine the purpose and key objectives of your data analysis. Determine the type of data analytics to use. Identify the type of data that can answer your questions. Determine a plan to produce the data. Collect the data. Clean the data. Evaluate the data. Diagnostic analysis.
Notably used to identify and analyze chronic failures, which can otherwise be overlooked, this method is defined by its name: PReserving Evidence and Acquiring Data: Initial evidence collection step based on the 5-Ps Parts, Position, People, Paper, and Paradigms.
What are the steps of root cause analysis? Define the problem. Clarify what situation you want to address. Collect data. Gather data related to this issue. Ask why. Find affecting factors. Brainstorm solutions. Select solutions. Implement the solution.
Key RCA Principles Focus on Causes, Not Symptoms. Explore connections between Root Causes. Perform fact-based Analysis. Execute a non-punitive approach.
In Summary Define the Problem. Collect Data about the Problem. Determine Potential Causal Factors. Determine the Root Cause or Causes of the Problem. Prioritize the Causes. Solution, Recommendation, and Implementation.