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A Cognitive Autopsy Approach Towards Explaining Diagnostic Failure.

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Cognitive and affective biases significantly impact diagnostic accuracy in emergency medicine. Analyzing real cases revealed multiple biases per diagnosis, explaining many diagnostic failures.

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diagnostic failuremedical error

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Area of Science:

  • Medical error analysis
  • Cognitive psychology in medicine
  • Patient safety research

Background:

  • Diagnostic failure is a major patient safety concern.
  • Understanding factors contributing to diagnostic errors is crucial for clinicians.
  • Cognitive and affective biases are implicated in clinical decision-making but difficult to study experimentally.

Purpose of the Study:

  • To explore the effect of cognitive and affective biases in real-world emergency medicine diagnostic errors.
  • To identify and quantify biases contributing to misdiagnosis.
  • To provide a baseline for understanding biases in clinical decision-making.

Main Methods:

  • Analysis of 30 anonymized emergency medicine cases with diagnostic errors.
  • Root cause analysis including assessment of error-producing conditions (EPCs) and knowledge-based errors.
  • Cognitive autopsy to identify cognitive and affective biases and their interactions.

Main Results:

  • 24 distinct cognitive and affective biases were identified, contributing to misdiagnosis.
  • An average of 5-6 biases were detected per case, totaling 168 occurrences across 30 cases.
  • Knowledge-based errors were infrequent (5 instances); 13 EPCs were identified.

Conclusions:

  • Cognitive and affective biases play a critical role in diagnostic failures within emergency medicine.
  • The study provides a framework for investigating biases in clinical decision-making.
  • Understanding these biases is essential for improving diagnostic accuracy and patient safety.