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Related Experiment Videos

Clinical reasoning and cognitive processes.

J C Hershey1, J Baron

  • 1Department of Decision Sciences, Wharton School, University of Pennsylvania, Philadelphia 19104-6366.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|October 1, 1987
PubMed
Summary
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Expected utility theory (EUT) and Bayesian probability theory are foundational in medical decision analysis. However, psychological research shows deviations from these normative models in clinical reasoning, necessitating a synthesis of descriptive and prescriptive approaches.

Area of Science:

  • Decision Analysis
  • Cognitive Psychology
  • Medical Informatics

Background:

  • Expected utility theory (EUT) and Bayesian probability theory underpin medical decision analysis.
  • Empirical evidence reveals systematic deviations from these normative models in human judgment and decision-making.
  • These deviations are observed in both laboratory settings and clinical reasoning.

Purpose of the Study:

  • To address the discrepancy between normative decision theories and observed human behavior in medical contexts.
  • To explore the implications of psychological research on judgment and decision-making for medical decision analysis.
  • To propose a path forward that integrates descriptive, prescriptive, and normative perspectives.

Main Methods:

  • Review of existing literature on expected utility theory, Bayesian probability, and cognitive psychology.

Related Experiment Videos

  • Analysis of examples illustrating the limitations of applying normative models directly to clinical reasoning.
  • Conceptual framework development for reconciling normative and descriptive decision models.

    • Main Results:

    • Individuals frequently deviate from the axioms of expected utility and Bayesian probability theory.
    • These deviations are not random but systematic, impacting clinical decision-making.
    • Simple application of normative theory can be inappropriate in real-world medical scenarios.

    Conclusions:

    • The integration of descriptive findings into prescriptive and normative medical decision analysis is crucial.
    • Future research should focus on the interface between how decisions are actually made and how they should ideally be made.
    • Resolving the tension between normative ideals and descriptive realities is key to improving medical decision support.