Cited by 285Clinical Reasoning and Diagnostic SkillsDecision-Making and Behavioral EconomicsHealth Sciences Research and Education

Heuristics and biases: selected errors in clinical reasoning

Elstein, A S·1999·Academic Medicine

Abstract

Many clinical decisions are made in uncertainty. When the diagnosis is uncertain, the goal is to establish a diagnosis or to treat even if the diagnosis remains unknown. If the diagnosis is known (e.g., breast cancer or prostate cancer) but the treatment is risky and its outcome uncertain, still a choice must be made. In researching the psychology of clinical judgment and decision making, the major strategy is to compare observed clinical judgments and decisions with the normative model established by statistical decision theory. In this framework, the process of diagnosing is conceptualized as using imperfect information to revise opinions; Bayes' theorem is the formal rule for updating a diagnosis as new data are available. Treatment decisions should be made so as to maximize expected value. This essay uses Bayes' theorem and concepts from decision theory to describe and explain some well-documented errors in clinical reasoning. Heuristics and biases are the cognitive factors that produce these errors.

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Crossref · 10.1097/00001888-199907000-00012

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Authors
Elstein, A. S.
Affiliations
University of Illinois Chicago (US)
Corresponding author
Elstein, A S
Venue
Academic Medicine
Published
1999-07
Volume
74
Issue
7
Pages
791-4
ISSN
1040-2446 (ISSN-L)
OpenAlex
W2094090073
Cited by
285
References
0
Citations by year
2026: 7 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 8 · 2021: 12 · 2020: 7 · 2019: 19 · 2018: 12 · 2017: 12 · 2016: 13 · 2015: 14 · 2014: 22 · 2013: 19 · 2012: 14
FWCI
6.01
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
Keywords
heuristics and biases, clinical judgment, clinical decision-making, diagnostic uncertainty, Bayes' theorem, statistical decision theory, expected value, Bayesian updating, treatment decision-making
MeSH terms
Bayes Theorem, Choice Behavior, Cognition, Decision Making, Decision Support Techniques, Decision Theory, Diagnosis, Humans, Judgment, Mental Recall, Risk Factors, Therapeutics, Treatment Outcome

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