Annals Clinical Decision Making: Avoiding Cognitive Errors in Clinical Decision Making
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Special Articles2 June 2020Annals Clinical Decision Making: Avoiding Cognitive Errors in Clinical Decision MakingDaniel Restrepo, MD, Katrina A. Armstrong, MD, MS, and Joshua P. Metlay, MD, PhDDaniel Restrepo, MDMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts (D.R., K.A.A., J.P.M.), Katrina A. Armstrong, MD, MSMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts (D.R., K.A.A., J.P.M.), and Joshua P. Metlay, MD, PhDMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts (D.R., K.A.A., J.P.M.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/M19-3692 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Making a diagnosis is perhaps the most frequently performed and important procedure in an internist's wheelhouse. Indeed, a patient's therapeutic options and prognosis often center around the right diagnosis being made in a timely fashion. Unfortunately, diagnostic errors are common, with frequency estimates ranging from 10% to 40% in some studies (1, 2). Furthermore, misdiagnosis is more likely to be considered negligent and have proportionately higher morbidity and morbidity than other errors (3, 4).Cognitive psychology research over the past 40 years has led to the development of dual process theory, wherein 2 central cognitive systems, system 1 and system ...References1. Berner ES, Graber ML. Overconfidence as a cause of diagnostic error in medicine. Am J Med. 2008;121:S2-23. [PMID: 18440350] doi:10.1016/j.amjmed.2008.01.001 CrossrefMedlineGoogle Scholar2. Shojania KG, Burton EC, McDonald KM, et al. Changes in rates of autopsy-detected diagnostic errors over time: a systematic review. JAMA. 2003;289:2849-56. [PMID: 12783916] CrossrefMedlineGoogle Scholar3. 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Ann Intern Med. 2020;172:W142-W148. doi:10.7326/G20-0001 LinkGoogle Scholar Author, Article, and Disclosure InformationAffiliations: Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts (D.R., K.A.A., J.P.M.)Disclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M19-3692.Corresponding Author: Da
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Cognitive load must be managed for effective problem-solving and clinical decision-making, as levels of cognitive load influence decisions and outcomes.
“Cognitive load must be managed for effective problem-solving and clinical decision-making (correct decisions/reduction of errors), as levels of cognitive load influence decisions and outcomes38,49–53.”
From When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load (2026) · cites this paper as [50]
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- Authors
- Restrepo, D., Armstrong, K. A., & Metlay, J. P.
- Affiliations
- Harvard University (US)
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2020-06-02
- Volume
- 172
- Issue
- 11
- Pages
- 747-751
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W3016602686
- Cited by
- 36
- References
- 14
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 8 · 2020: 7
- FWCI
- 5.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Internal 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 › Emergency Medical Services › Patient Safety and Medication Errors
- Keywords
- diagnostic errors, cognitive errors, clinical decision-making, dual-process theory, System 1 and System 2, overconfidence, confirmation bias, anchoring effect, diagnostic reasoning, misdiagnosis, cognitive bias mitigation
- MeSH terms
- Clinical Decision-Making, Adult, Aged, Algorithms, Cognition, Decision Support Techniques, Diagnosis, Female, Humans, Male, Patient Care Team, Probability, Bias, Medical Errors
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