Diagnostic error analysis involves systematically reviewing missed or delayed diagnoses to identify root causes, such as cognitive biases or system failures. Used in healthcare quality improvement, it helps refine clinical decision-making and protocols. Patients benefit from safer care, while clinicians gain insights to reduce future mistakes, ultimately enhancing diagnostic accuracy and outcomes.
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