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The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Abstract
In the area of patient safety, recent attention has focused on diagnostic error. The reduction of diagnostic error is an important goal because of its associated morbidity and potential preventability. A critical subset of diagnostic errors arises through cognitive errors, especially those associated with failures in perception, failed heuristics, and biases; collectively, these have been referred to as cognitive dispositions to respond (CDRs). Historically, models of decision-making have given insufficient attention to the contribution of such biases, and there has been a prevailing pessimism against improving cognitive performance through debiasing techniques. Recent work has catalogued the major cognitive biases in medicine; the author lists these and describes a number of strategies for reducing them ("cognitive debiasing"). Principle among them is metacognition, a reflective approach to problem solving that involves stepping back from the immediate problem to examine and reflect on the thinking process. Further research effort should be directed at a full and complete description and analysis of CDRs in the context of medicine and the development of techniques for avoiding their associated adverse outcomes. Considerable potential exists for reducing cognitive diagnostic errors with this approach. The author provides an extensive list of CDRs and a list of strategies to reduce diagnostic errors.
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“Cognitive errors are an important source of diagnostic error35”
From Large Language Models lack essential metacognition for reliable medical reasoning (2025) · cites this paper as [35]
In the citing paper
“However, because prior research provides ample evidence that even experts making critical decisions resort to heuristic thinking (and fall prey to cognitive biases) [4, 6, 17, 42], we have some confidence that our results will generalize broadly.”
From To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making (2021) · cites this paper as [17]
In the citing paper
“When making decisions under time pressure, people may be more likely to use recognition of past experiences and heuristics instead of more analytical strategies, such as systematically evaluating different options [18, 38, 54].”
From To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events (2025) · cites this paper as [18]
In the citing paper
“Because of heightened time pressure, poor access to information, and increased number of decisions, emergency medicine providers often rely on heuristics when making decisions [18].”
From To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events (2025) · cites this paper as [18]
Citations
Cites
Judgment Under Uncertainty: Heuristics and Biases.
Shafer, G. R., Kahnerman, D., Slovic, P., & Tversky, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288362 · Cited by 5,658
Incidence of Adverse Events and Negligence in Hospitalized Patients
Brennan, T. A., Leape, L. L., Laird, N. M., Hebert, L. E., Localio, A. R., Lawthers, A. G., Newhouse, J. P., Weiler, P. C., & Hiatt, H. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199102073240604 · Cited by 4,631
The Quality in Australian Health Care Study
Wilson, R. M., Runciman, W. B., Gibberd, R. W., Harrison, B. T., Newby, L., & Hamilton, J. D. (1995) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1995.tb124691.x · Cited by 2,480
Incidence and Types of Adverse Events and Negligent Care in Utah and Colorado
Thomas, E. J., Studdert, D. M., Burstin, H. R., Orav, E. J., Zeena, T., WILLIAMS, E. J., Howard, K., Weiler, P. C., & Brennan, T. A. (2000) · Medical Care · doi:10.1097/00005650-200003000-00003 · Cited by 1,673
The psychology of judgment and decision making
(1994) · Choice Reviews Online · doi:10.5860/choice.31-2965 · Cited by 1,255
Achieving Quality in Clinical Decision Making: Cognitive Strategies and Detection of Bias
Croskerry, P. (2002) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2002.tb01574.x · Cited by 938
Self-citationAchieving quality in clinical decision making: cognitive strategies and detection of bias
Croskerry, P. (2002) · Academic Emergency Medicine · doi:10.1197/aemj.9.11.1184 · Cited by 938
Self-citationJudgement and Choice: The Psychology of Decision.
Winkler, R. L., & Hogarth, R. M. (1983) · Journal of the American Statistical Association · doi:10.2307/2288669 · Cited by 612
On the psychology of experimental surprises.
Slovic, P., & Fischhoff, B. (1977) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.3.4.544 · Cited by 488
Cognitive forcing strategies in clinical decisionmaking
Croskerry, P. (2003) · Annals of Emergency Medicine · doi:10.1067/mem.2003.22 · Cited by 440
Self-citation
Research works printed but not linked: 3
- Graber, 2002, 77, 981
- Wolf, 1988, J Med Educ, 63, 548
- Croskerry, 2002, Emerg Med J, 19, A9
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Webster, J. S., King, H. B., Toomey, L. M., Salisbury, M. L., Powell, S. M., Craft, B., Baker, D. P., & Eduardo Salas, A. (2008) · Cited by 36
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Apelian, N., Vergnes, J., Hovey, R. B., & Bedos, C. P. (2017) · BDJ · doi:10.1038/sj.bdj.2017.806 · Cited by 35
Daniel, M. M., Carney, M. M., Khandelwal, S., Merritt, C., Cole, M., Malone, M., Hemphill, R. R., Peterson, W., Burkhardt, J., Hopson, L. R., et al. (2017) · MedEdPORTAL · doi:10.15766/mep_2374-8265.10646 · Cited by 35
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Broyles, L. M., Colbert, A. M., Tate, J. A., Swigart, V. A., & Happ, M. B. (2008) · Critical Care Medicine · doi:10.1097/01.ccm.0000292010.11345.24 · Cited by 35
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Macpherson, K., & Owen, C. A. (2009) · Assessment & Evaluation in Higher Education · doi:10.1080/02602930802475471 · Cited by 35
Vaillancourt, S., Guttmann, A., Li, Q., Chan, I. Y. M., Vermeulen, M. J., & Schull, M. J. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2014.10.022 · Cited by 35
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Eibling, D. E., Fried, M. P., Blitzer, A., & Postma, G. (2013) · The Laryngoscope · doi:10.1002/lary.24175 · Cited by 35
Msaouel, P., Kappos, T., Tasoulis, A., Apostolopoulos, A. P., Lekkas, I., Tripodaki, E., & Keramaris, N. C. (2014) · Medical Education Online · doi:10.3402/meo.v19.23646 · Cited by 34
Cowley, L., Maguire, S., Farewell, D. M., Quinn-Scoggins, H. D., Flynn, M. O., & Kemp, A. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.06.009 · Cited by 34
Tweed, M., & WILKINSON, T. J. (2019) · BMC Medical Education · doi:10.1186/s12909-019-1583-1 · Cited by 36
Brush, J. E., Lee, M., Sherbino, J., Taylor-Fishwick, J. C., & Norman, G. R. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.18023 · Cited by 34
Mouchabac, S., Conejero, I., Lakhlifi, C., Msellek, I., Malandain, L., Adrien, V., Ferreri, F., Millet, B., Bonnot, O., Bourla, A., et al. (2021) · Dialogues in Clinical Neuroscience · doi:10.1080/19585969.2022.2042165 · Cited by 33
Team training in obstetrics: A multi-level evaluation.
Sonesh, S. C., Gregory, M. E., Hughes, A. M., Feitosa, J., Benishek, L. E., Verhoeven, D. C., Patzer, B. S., Salazar, M., Gonzalez, L. M., & Salas, E. (2015) · Families Systems & Health · doi:10.1037/fsh0000148 · Cited by 38
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Berman, N. C., Stark, A., Cooperman, A., Wilhelm, S., & Cohen, I. G. (2015) · Death Studies · doi:10.1080/07481187.2014.958630 · Cited by 33
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Dickinson, J. A., Pimlott, N., Grad, R. M., Singh, H., Szafran, O., Wilson, B. J., Groulx, S., Thériault, G., & Bell, N. R. (2018) · Europe PMC (PubMed Central) · Cited by 33
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Li, P., Cheng, Z. Y., & Liu, G. L. (2020) · Internal Medicine · doi:10.2169/internalmedicine.4664-20 · Cited by 31
Fristad, M. A., Wolfson, H. L., Algorta, G. P., Youngstrom, E. A., Arnold, L. E., Birmaher, B. B., Horwitz, S. M., Axelson, D., Kowatch, R. A., Findling, R. L., et al. (2016) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2015.0062 · Cited by 33
Weaver, S. J., Newman‐Toker, D. E., & Rosen, M. A. (2012) · Journal of Continuing Education in the Health Professions · doi:10.1002/chp.21155 · Cited by 33
Harendza, S., Krenz, I., Klinge, A., Wendt, U., & Janneck, M. (2017) · Europe PMC (PubMed Central) · doi:10.3205/zma001143 · Cited by 30
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Sriram, K., Cyriac, T., & Fogg, L. (2009) · Nutrition · doi:10.1016/j.nut.2009.08.012 · Cited by 30
Chesney, D. L., McNeil, N. M., Brockmole, J. R., & Kelley, K. (2013) · Memory & Cognition · doi:10.3758/s13421-013-0315-8 · Cited by 34
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Chen, S. Y., Ross, B. H., & Murphy, G. L. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0032064 · Cited by 31
Cassini, A., Plachouras, D., & Monnet, D. L. (2019) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30004-0 · Cited by 30
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Ruedinger, E., Olson, M. E., Yee, J. Y., Borman-Shoap, E. C., & Olson, A. P. J. (2016) · American Journal of Medical Quality · doi:10.1177/1062860616681626 · Cited by 28
Hillebrand, M., Koschyk, D. H., ter Hark, P., Schüler, H., Rybczynski, M., Berger, J., Gulati, A., Bernhardt, A. M. J., Detter, C., Girdauskas, E., et al. (2017) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt.2017.05.03 · Cited by 28
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Fenech, M. E., & Buston, O. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00054 · Cited by 30
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Ilgen, J. S., Bowen, J. L., Yarris, L. M., Fu, R. F., Lowe, R. A., & Eva, K. W. (2011) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2011.01182.x · Cited by 30
Hess, B., Lipner, R. S., Thompson, V. L., Holmboe, E. S., & Graber, M. L. (2014) · Academic Medicine · doi:10.1097/acm.0000000000000550 · Cited by 29
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Glavin, R. (2011) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2011.01.004 · Cited by 27
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Griffith, P. B., Doherty, C., Smeltzer, S., & Mariani, B. A. (2020) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000000479 · Cited by 22
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Kuhn, K. A., Wurst, S. H. R., Bott, O. J., & Giuse, D. A. (2006) · PubMed · Cited by 27
Blech, C., Gaschler, R., & Bilalić, M. (2020) · Thinking & Reasoning · doi:10.1080/13546783.2019.1685001 · Cited by 26
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Berner, E. S. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-009-9187-x · Cited by 26
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Durning, S. J., Trowbridge, R. L., & Schuwirth, L. (2019) · Academic Medicine · doi:10.1097/acm.0000000000003041 · Cited by 26
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Richens, J. G., & Buchard, A. (2022) · Springer eBooks · doi:10.1007/978-3-030-64573-1_29 · Cited by 25
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Ditrich, H. (2015) · Science & Justice · doi:10.1016/j.scijus.2014.12.007 · Cited by 25
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Farmer, S. A., & Higginson, I. J. (2006) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2005.12.002 · Cited by 25
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Schnapp, B. H., Sun, J., Kim, J. L., Strayer, R. J., & Shah, K. H. (2018) · Diagnosis · doi:10.1515/dx-2018-0011 · Cited by 25
Wilcox, G., & Schroeder, M. (2014) · Journal of Psychoeducational Assessment · doi:10.1177/0734282914562212 · Cited by 25
Choi, J. J., Gribben, J. L., Lin, M. A., Abramson, E. L., & Aizer, J. (2022) · Medical Education Online · doi:10.1080/10872981.2022.2153782 · Cited by 26
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Maloney, F. L., Feblowitz, J. C., Samal, L., Sato, L., Wright, A. T., & Zuccotti, G. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2014-02-ra-0018 · Cited by 24
(2013) · doi:10.4236/ce.2013.46a008 · Cited by 24
Diagnostic errors in pediatric radiology
Taylor, G. A., Voss, S. D., Melvin, P. R., & Graham, D. A. (2010) · Pediatric Radiology · doi:10.1007/s00247-010-1812-6 · Cited by 24
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Metadata
- Authors
- Croskerry, P.
- Affiliations
- Dalhousie University (CA)
- Corresponding author
- Croskerry, Pat
- ORCID
- Croskerry, Pat
- Venue
- Academic Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-08
- Volume
- 78
- Issue
- 8
- Pages
- 775-780
- ISSN
- 1040-2446 (ISSN-L)
- OpenAlex
- W1967291734
- Cited by
- 1,675
- References
- 20
- Citations by year
- 2026: 186 · 2025: 83 · 2024: 74 · 2023: 83 · 2022: 87 · 2021: 103 · 2020: 120 · 2019: 91 · 2018: 85 · 2017: 87 · 2016: 117 · 2015: 73 · 2014: 86 · 2013: 92 · 2012: 66
- FWCI
- 12.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (P20HS11592-02)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- diagnostic errors, cognitive errors, cognitive biases, cognitive debiasing, metacognition, heuristics, perceptual errors, clinical decision-making, patient safety
- MeSH terms
- Cognition, Decision Support Techniques, Diagnostic Errors, Humans
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