The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Diagnostic Error in Internal Medicine
Abstract
BACKGROUND: The goal of this study was to determine the relative contribution of system-related and cognitive components to diagnostic error and to develop a comprehensive working taxonomy. METHODS: One hundred cases of diagnostic error involving internists were identified through autopsy discrepancies, quality assurance activities, and voluntary reports. Each case was evaluated to identify system-related and cognitive factors underlying error using record reviews and, if possible, provider interviews. RESULTS: Ninety cases involved injury, including 33 deaths. The underlying contributions to error fell into 3 natural categories: "no fault," system-related, and cognitive. Seven cases reflected no-fault errors alone. In the remaining 93 cases, we identified 548 different system-related or cognitive factors (5.9 per case). System-related factors contributed to the diagnostic error in 65% of the cases and cognitive factors in 74%. The most common system-related factors involved problems with policies and procedures, inefficient processes, teamwork, and communication. The most common cognitive problems involved faulty synthesis. Premature closure, ie, the failure to continue considering reasonable alternatives after an initial diagnosis was reached, was the single most common cause. Other common causes included faulty context generation, misjudging the salience of findings, faulty perception, and errors arising from the use of heuristics. Faulty or inadequate knowledge was uncommon. CONCLUSIONS: Diagnostic error is commonly multifactorial in origin, typically involving both system-related and cognitive factors. The results identify the dominant problems that should be targeted for additional research and early reduction; they also further the development of a comprehensive taxonomy for classifying diagnostic errors.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Although many contributors to diagnostic error have been identified in the previous literature, they are typically discussed in isolation rather than as part of an interacting system [25,33].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [33]
In the citing paper
“Previous exploratory studies in patient safety have been able to shed powerful light on contributory factors with a similar sample size.44”
From An analysis of electronic health record-related patient safety concerns (2014) · cites this paper as [44]
In the citing paper
“missed laboratory results or delayed recognition of results leads to a significant potential for outpatient diagnostic errors, adverse events and liability claims.”
From Notification of Abnormal Lab Test Results in an Electronic Medical Record: Do Any Safety Concerns Remain? (2010) · cites this paper as [14]
In the citing paper
“Although diagnostic errors may occur when signs of a disease are atypical or absent, diagnostic errors are often attributed to cognitive (e.g., faulty clinical reasoning) and/or systems-related factors (e.g., inefficient processes and poor communication7,9–21).”
From Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology (2008) · cites this paper as [7]
In the citing paper
“Evidence suggests that the most common medical error results from inadequate clinical reasoning [3, 9].”
From The virtual patient as a learning tool: a mixed quantitative qualitative study (2018) · cites this paper as [3]
In the citing paper
“Current evidence suggests that medical error represents one of the leading causes of death [1–3].”
From The virtual patient as a learning tool: a mixed quantitative qualitative study (2018) · cites this paper as [3]
Citations
Cites
Managing the Risks of Organizational Accidents
REASON, J. T. (2016) · Routledge eBooks · doi:10.4324/9781315543543 · Cited by 4,523
Reasoning the fast and frugal way: Models of bounded rationality.
Gigerenzer, G., & Goldstein, D. G. (1996) · Psychological Review · doi:10.1037/0033-295x.103.4.650 · Cited by 3,504
Simon, H. A. (1990) · Annual Review of Psychology · doi:10.1146/annurev.ps.41.020190.000245 · Cited by 2,000
Hunt, D. L., Haynes, R. B., Hanna, S., & Smith, K. (1998) · JAMA · doi:10.1001/jama.280.15.1339 · Cited by 1,684
The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Croskerry, P. (2003) · Academic Medicine · doi:10.1097/00001888-200308000-00003 · Cited by 1,675
Brown, A. B., & Patterson, D. A. (2001) · Cited by 1,390
Simon, H. A. (1990) · Annual Review of Psychology · doi:10.1146/annurev.psych.41.1.1 · Cited by 1,187
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
The Value of the Autopsy in Three Medical Eras
Goldman, L., Sayson, R., Robbins, S. L., Cohn, L. H., Bettmann, M. A., & Weisberg, M. C. (1983) · New England Journal of Medicine · doi:10.1056/nejm198304283081704 · Cited by 812
Clinical decision support systems for the practice of evidence-based medicine
Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., & Tang, P. C. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080527 · Cited by 732
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 1,000
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible
Loftus, T. J., Tighe, P. J., Ozrazgat‐Baslanti, T., Davis, J. P., Ruppert, M. M., Ren, Y., Shickel, B., Kamaleswaran, R., Hogan, W. R., Moorman, J. R., et al. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000006 · Cited by 59
Cognitive versus Technical Debriefing after Simulation Training
Bond, W. F., Deitrick, L. M., Eberhardt, M., Barr, G. C., Kane, B. G., Worrilow, C. C., Arnold, D. C., & Croskerry, P. (2006) · Academic Emergency Medicine · doi:10.1197/j.aem.2005.10.013 · Cited by 57
Interpretative reports and critical values
Piva, E., & Plebani, M. (2009) · Clinica Chimica Acta · doi:10.1016/j.cca.2009.03.028 · Cited by 55
Kostopoulou, O., Oudhoff, J. P., Nath, R., Delaney, B. C., Munro, C. W., Harries, C., & HOLDER, R. L. (2008) · Medical Decision Making · doi:10.1177/0272989x08319958 · Cited by 59
Advancing the research agenda for diagnostic error reduction
Zwaan, L., Schiff, G. D., & Singh, H. (2013) · BMJ Quality & Safety · doi:10.1136/bmjqs-2012-001624 · Cited by 56
The Impact of Cognitive and Implicit Bias on Patient Safety and Quality
Balakrishnan, K., & Arjmand, E. M. (2018) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2018.08.016 · Cited by 55
Saadawi, G. M. E., Azevedo, R., Castine, M., Payne, V. L., Medvedeva, O., Tseytlin, E., Legowski, E. A., Jukic, D. M., & Crowley, R. S. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-009-9162-6 · Cited by 64
Kusunose, K., Kashima, S., & Sata, M. (2023) · Circulation Journal · doi:10.1253/circj.cj-23-0308 · Cited by 54
Human–AI collectives most accurately diagnose clinical vignettes
Zöller, N., Berger, J., Lin, I., Fu, N., Komarneni, J., Barabucci, G., Laskowski, K., Shia, V., Harack, B., Chu, E. A., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2426153122 · Cited by 74
Teaching clinical reasoning to medical students
Amey, L., Donald, K. J., & Teodorczuk, A. (2017) · British Journal of Hospital Medicine · doi:10.12968/hmed.2017.78.7.399 · Cited by 52
Factors and impact of physicians’ diagnostic errors in malpractice claims in Japan
Watari, T., Tokuda, Y., Mitsuhashi, S., Otuki, K., Kono, K., Nagai, N., Onigata, K., & Kanda, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237145 · Cited by 53
Gleeson, L. L., O’Brien, G. L., O’Mahony, D., & Byrne, S. (2022) · Journal of Interprofessional Care · doi:10.1080/13561820.2022.2028746 · Cited by 53
Smith, S., Benbenek, M. M., Bakker, C., & Bockwoldt, D. (2022) · Journal of Advanced Nursing · doi:10.1111/jan.15414 · Cited by 54
Ramnarayan, P., Winrow, A. P., Coren, M., Nanduri, V. R., Buchdahl, R., Jacobs, B., Fisher, H., Taylor, P. M., Wyatt, J. C., & Britto, J. F. (2006) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-6-37 · Cited by 51
Reducing Diagnostic Error Through Medical Home-Based Primary Care Reform
Singh, H., & Graber, M. L. (2010) · JAMA · doi:10.1001/jama.2010.1035 · Cited by 52
Sarkar, U., Bonacum, D., Strull, W. M., Spitzmueller, C., Jin, N., López, A., Giardina, T. D., Meyer, A. N. D., & Singh, H. (2012) · BMJ Quality & Safety · doi:10.1136/bmjqs-2011-000541 · Cited by 53
Quality in laboratory medicine: 50 years on
Plebani, M. (2016) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2016.10.007 · Cited by 59
Diagnostic error in a national incident reporting system in the UK
Sevdalis, N., Jacklin, R., Arora, S., Vincent, C. A., & Thomson, R. G. (2010) · Journal of Evaluation in Clinical Practice · doi:10.1111/j.1365-2753.2009.01328.x · Cited by 51
Diagnostic errors in ambulatory care: dimensions and preventive strategies
Singh, H., & Weingart, S. N. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-009-9177-z · Cited by 51
Use of a novel, modified fishbone diagram to analyze diagnostic errors
Reilly, J. B., Myers, J. S., Salvador, D., & Trowbridge, R. L. (2014) · Diagnosis · doi:10.1515/dx-2013-0040 · Cited by 51
Diagnostic Errors that Lead to Inappropriate Antimicrobial Use
FILICE, G. A., Drekonja, D. M., Thurn, J. R., Hamann, G. M., Masoud, B. T., & Johnson, J. R. (2015) · Infection Control and Hospital Epidemiology · doi:10.1017/ice.2015.113 · Cited by 51
Representation scaffolds improve diagnostic efficiency in medical students
Braun, L., Zottmann, J., Adolf, C., Lottspeich, C., Then, C., Wirth, S., Fischer, M. R., & Schmidmaier, R. (2017) · Medical Education · doi:10.1111/medu.13355 · Cited by 51
Rethinking bias and truth in evidence‐based health care
Wieringa, S., Engebretsen, E., Heggen, K. M., & Greenhalgh, T. (2018) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13010 · Cited by 58
Facial Nerve Palsy: Clinical Practice and Cognitive Errors
George, E., Richie, M. B., & Glastonbury, C. M. (2020) · The American Journal of Medicine · doi:10.1016/j.amjmed.2020.04.023 · Cited by 51
A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery
Solano-Rojas, B. J., & Villalón-Fonseca, R. (2021) · Sensors · doi:10.3390/s21041302 · Cited by 51
A clinician's perspective on laboratory utilization management
Yeh, D. D. (2013) · Clinica Chimica Acta · doi:10.1016/j.cca.2013.09.023 · Cited by 50
Ebola US Patient Zero: lessons on misdiagnosis and effective use of electronic health records
Upadhyay, D. K., Sittig, D. F., & Singh, H. (2014) · Diagnosis · doi:10.1515/dx-2014-0064 · Cited by 50
Cognitive biases encountered by physicians in the emergency room
Kunitomo, K., Harada, T., & Watari, T. (2022) · BMC Emergency Medicine · doi:10.1186/s12873-022-00708-3 · Cited by 49
Developing Checklists to Prevent Diagnostic Error in Emergency Room Settings
Graber, M. L., Sorensen, A. V., Biswas, J., Modi, V., Wackett, A., Johnson, S., Lenfestey, N., Meyer, A. N. D., & Singh, H. (2014) · Diagnosis · doi:10.1515/dx-2014-0019 · Cited by 49
Self-citationTo Think Is Good: Querying an Initial Hypothesis Reduces Diagnostic Error in Medical Students
Coderre, S., Wright, B. J., & McLaughlin, K. (2010) · Academic Medicine · doi:10.1097/acm.0b013e3181e1b229 · Cited by 48
Reexamining our bias against heuristics
McLaughlin, K., Eva, K. W., & Norman, G. R. (2014) · Advances in Health Sciences Education · doi:10.1007/s10459-014-9518-4 · Cited by 52
Peng, A., Rohacek, M., Ackermann, S., Ilsemann-Kakaroumis, J., Ghanim, L., Messmer, A. S., Misch, F., Nickel, C. H., & Bingisser, R. M. (2015) · Swiss Medical Weekly · doi:10.4414/smw.2015.14121 · Cited by 48
Zwaan, L., Thijs, A., Wagner, C., & Timmermans, D. R. M. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.05.001 · Cited by 48
Wright, J., Lawton, R., O'Hara, J. K., Armitage, G., Sheard, L., Marsh, C., Grange, A., McEachan, R., Cocks, K., Hrisos, S., et al. (2016) · Programme Grants for Applied Research · doi:10.3310/pgfar04150 · Cited by 48
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Hosseini, A., Chen, T., Wu, W., Sun, Y., & Sarrafzadeh, M. (2018) · Proceedings of the 27th ACM International Conference on Information and Knowledge Management · doi:10.1145/3269206.3271805 · Cited by 47
Diagnostic delays in infectious diseases
Suneja, M., Beekmann, S. E., Dhaliwal, G., Miller, A. C., & Polgreen, P. M. (2022) · Diagnosis · doi:10.1515/dx-2021-0092 · Cited by 51
Bias: a normal operating characteristic of the diagnosing brain
Croskerry, P. (2014) · Diagnosis · doi:10.1515/dx-2013-0028 · Cited by 49
The CCLM contribution to improvements in quality and patient safety
Plebani, M. (2012) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2012-0094 · Cited by 48
Perspectives on Diagnostic Failure and Patient Safety
Croskerry, P. (2012) · Healthcare Quarterly · doi:10.12927/hcq.2012.22841 · Cited by 49
Scheel, B. I., Ingebrigtsen, S. G., Thorsen, T., & Holtedahl, K. A. (2013) · British Journal of General Practice · doi:10.3399/bjgp13x671614 · Cited by 46
Durning, S. J., Dong, T., Artino, A. R., van der Vleuten, C. P. M., Holmboe, E. S., & Schuwirth, L. (2015) · Perspectives on Medical Education · doi:10.1007/s40037-015-0196-6 · Cited by 52
Identifying early warning signs for diagnostic errors in primary care: a qualitative study
Balla, J. I., Heneghan, C. J., Goyder, C., & Thompson, M. J. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001539 · Cited by 49
Artificial intelligence based smart diagnosis of alzheimer's disease and mild cognitive impairment
Farooq, A., Anwar, S. M., Awais, M., & Alnowami, M. R. (2017) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc2.2017.8090871 · Cited by 47
Decision analysis and reinforcement learning in surgical decision-making
Loftus, T. J., Filiberto, A. C., Li, Y., Balch, J. A., Cook, A. C., Tighe, P. J., Efron, P. A., Upchurch, G. R., Rashidi, P., Li, X., et al. (2020) · Surgery · doi:10.1016/j.surg.2020.04.049 · Cited by 49
Influence of Perceived Difficulty of Cases on Physiciansʼ Diagnostic Reasoning
Mamede, S., Schmidt, H. G., Rikers, R. M. J. P., Penaforte, J. C., & Coelho-Filho, J. M. (2008) · Academic Medicine · doi:10.1097/acm.0b013e31818c71d7 · Cited by 46
Can the science of communication inform the art of the medical humanities?
Bleakley, A., & Marshall, R. J. (2013) · Medical Education · doi:10.1111/medu.12056 · Cited by 45
Student Uncertainties Drive Teaching During Case Presentations
Wolpaw, T. M., Côté, L., Papp, K. K., & Bordage, G. (2012) · Academic Medicine · doi:10.1097/acm.0b013e3182628fa4 · Cited by 45
Beyond Symptoms: Race and Gender Predict Anxiety Disorder Diagnosis
Vanderminden, J., & Esala, J. J. (2018) · Society and Mental Health · doi:10.1177/2156869318811435 · Cited by 45
Alzheimer’s Disease Early Detection Using a Low Cost Three-Dimensional Densenet-121 Architecture
Solano-Rojas, B. J., Villalón-Fonseca, R., & Marín‐Raventós, G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-51517-1_1 · Cited by 45
Cosby, K. S., Roberts, R., Palivos, L., Ross, C., Schaider, J. J., Sherman, S. C., Nasr, I. W., Couture, E., Lee, M., Schabowski, S. L., et al. (2007) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2007.06.483 · Cited by 45
Toward a General Framework of Biased Reasoning: Coherence-Based Reasoning
Simon, D., & Read, S. J. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231204579 · Cited by 47
Yuan, M. J., Finley, G. M., Long, J., Mills, C., & Johnson, R. K. (2013) · Interactive Journal of Medical Research · doi:10.2196/ijmr.2402 · Cited by 43
Urresti-Gundlach, M., Tolks, D., Kiessling, C., Wagner‐Menghin, M. M., Härtl, A., & Hege, I. (2017) · BMC Medical Education · doi:10.1186/s12909-017-1013-1 · Cited by 44
Diagnostic Errors in Congenital Echocardiography: Importance of Study Conditions
Benavidez, O. J., Gauvreau, K., & Geva, T. (2014) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.03.001 · Cited by 44
Is Ambulatory Patient Safety Just Like Hospital Safety, Only without the “Stat”?
Wachter, R. M. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-7-200610030-00014 · Cited by 44
Barwise, A., Leppin, A., Dong, Y., Huang, C., Pinevich, Y., Herasevich, S., Soleimani, J., Gajic, O., Pickering, B., & Kumbamu, A. (2021) · Journal of Patient Safety · doi:10.1097/pts.0000000000000817 · Cited by 43
Examining the Diagnostic Justification Abilities of Fourth-Year Medical Students
Williams, R. G., & Klamen, D. L. (2012) · Academic Medicine · doi:10.1097/acm.0b013e31825cfcff · Cited by 42
McKenzie, B. A. (2014) · Journal of the American Veterinary Medical Association · doi:10.2460/javma.244.3.271 · Cited by 43
Addressing Secondary Prevention of Osteoporosis in Fracture Care: Follow-up to “Own the Bone”
Edwards, B. J.-A., Koval, K. J., Bunta, A. D., Genuario, K., Hahr, A. J., Andruszyn, L., & Williams, M. V. (2011) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.i.00540 · Cited by 43
Murphy, D. R., Thomas, E. J., Meyer, A. N. D., & Singh, H. (2015) · Radiology · doi:10.1148/radiol.2015142530 · Cited by 43
Building a bridge to safe diagnosis in health care. The role of the clinical laboratory
Lippi, G., Plebani, M., & Graber, M. L. (2016) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2015-1135 · Cited by 43
256 Shades of gray: uncertainty and diagnostic error in radiology
Bruno, M. A. (2017) · Diagnosis · doi:10.1515/dx-2017-0006 · Cited by 43
The twin traps of overtreatment and therapeutic nihilism in clinical practice
Mamede, S., & Schmidt, H. G. (2013) · Medical Education · doi:10.1111/medu.12264 · Cited by 43
Xu, H., Ang, B. W. G., Soh, J. Y., & Ponnamperuma, G. G. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-06916-0 · Cited by 44
The biasing effect of clinical history on physical examination diagnostic accuracy
Sibbald, M., & Cavalcanti, R. B. (2011) · Medical Education · doi:10.1111/j.1365-2923.2011.03997.x · Cited by 42
Neale, G., Hogan, H., & Sevdalis, N. (2011) · Clinical Medicine · doi:10.7861/clinmedicine.11-4-317 · Cited by 42
Overcoming Diagnostic Errors in Medical Practice
Bordini, B. J., Stephany, A. M., & Kliegman, R. M. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.02.065 · Cited by 42
Diagnostic errors by medical students: results of a prospective qualitative study
Braun, L., Zwaan, L., Kiesewetter, J., Fischer, M. R., & Schmidmaier, R. (2017) · BMC Medical Education · doi:10.1186/s12909-017-1044-7 · Cited by 42
Pitfalls in the Diagnosis of Coeliac Disease and Gluten-Related Disorders
Schiepatti, A., Savioli, J., Vernero, M., de Andreis, F. B., Perfetti, L., Meriggi, A., & Biagi, F. (2020) · Nutrients · doi:10.3390/nu12061711 · Cited by 42
Teamwork in clinical reasoning – cooperative or parallel play?
Olson, A. P. J., Durning, S. J., Fernandez Branson, C., Sick, B., Lane, K. P., & Rencic, J. J. (2020) · Diagnosis · doi:10.1515/dx-2020-0020 · Cited by 43
The challenge of cognitive science for medical diagnosis
Croskerry, P., Campbell, S., & Petrie, D. A. (2023) · Cognitive Research Principles and Implications · doi:10.1186/s41235-022-00460-z · Cited by 51
Zur Erlernbarkeit der Arzt-Patienten-Kommunikation in der Medizinischen Ausbildung
Langewitz, W. A. (2012) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-012-1533-0 · Cited by 42
Nurses’ risk assessment judgements: a confidence calibration study
Yang, H., & Thompson, C. A. (2010) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2010.05437.x · Cited by 41
Missed Opportunities for the Diagnosis of Colorectal Cancer
Siminoff, L. A., Rogers, H. L., & Harris-Haywood, S. (2015) · BioMed Research International · doi:10.1155/2015/285096 · Cited by 41
The Impact of Procedural Sedation on Diagnostic Errors in Pediatric Echocardiography
Stern, K. W. D., Gauvreau, K., Geva, T., & Benavidez, O. J. (2014) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.04.024 · Cited by 43
Car, L. T., Papachristou, N., Bull, A. R., Majeed, A., Gallagher, J., El-Khatib, M., Aylin, P. P., Rudan, I., Atun, R. A., Car, J., et al. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0530-z · Cited by 43
Cheraghi‐Sohi, S., Holland, F., Singh, H., Danczak, A., Esmail, A., Morris, R., Small, N., Williams, R., de Wet, C., Campbell, S., et al. (2021) · BMJ Quality & Safety · doi:10.1136/bmjqs-2020-012594 · Cited by 41
Fargen, K. M., & Friedman, W. A. (2014) · World Neurosurgery · doi:10.1016/j.wneu.2014.03.030 · Cited by 45
Diagnostic Error in Pediatrics: A Narrative Review
Marshall, T. L., Rinke, M. L., Olson, A. P. J., & Brady, P. W. (2022) · PEDIATRICS · doi:10.1542/peds.2020-045948d · Cited by 40
Gordon, D., Rencic, J. J., Lang, V. J., Thomas, A., Young, M. E., & Durning, S. J. (2022) · Perspectives on Medical Education · doi:10.1007/s40037-022-00701-3 · Cited by 52
Swapping Horses Midstream: Factors Related to Physiciansʼ Changing Their Minds About a Diagnosis
Eva, K. W., Link, C. L., Lutfey, K., & McKinlay, J. B. (2010) · Academic Medicine · doi:10.1097/acm.0b013e3181e16103 · Cited by 40
Prakash, S., Bihari, S., Need, P., Sprick, C., & Schuwirth, L. (2017) · BMC Medical Education · doi:10.1186/s12909-017-0871-x · Cited by 40
Jackson, B. R. (2008) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2007.12.009 · Cited by 42
Cifra, C. L., Jones, K. L., Ascenzi, J. A., Bhalala, U. S., Bembea, M. M., Newman‐Toker, D. E., Fackler, J. C., & Miller, M. R. (2015) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000000398 · Cited by 40
Identifying Women at Risk of Delayed Breast Cancer Diagnosis
Stuver, S. O., Zhu, J., Simchowitz, B., Hassett, M. J., Shulman, L. N., & Weingart, S. N. (2011) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(11)37073-0 · Cited by 40
Translating knowledge into practice for communication skills training for health care professionals
Ammentorp, J., Chiswell, M., & Martin, P. (2022) · Patient Education and Counseling · doi:10.1016/j.pec.2022.08.004 · Cited by 49
Le, L. T. P., Nguyen, A. H. Q., Tu, L. M. T. P. P. L. M., Ngo, H. T. T., Wang, X., Cunningham, B. T., Valera, E., Bashir, R., Taylor-Robinson, A. W., & Do, C. (2024) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2024.117681 · Cited by 39
Elstad, E. A., Lutfey, K., Marceau, L. D., Campbell, S., Knesebeck, O. V. D., & McKinlay, J. B. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.02.014 · Cited by 39
Computerized Triggers of Big Data to Detect Delays in Follow-up of Chest Imaging Results
Murphy, D. R., Meyer, A. N. D., Bhise, V., Russo, E. M., Sittig, D. F., Wei, L., Wu, L., & Singh, H. (2016) · CHEST Journal · doi:10.1016/j.chest.2016.05.001 · Cited by 39
Ladeira, C. E. (2017) · Journal of Manual & Manipulative Therapy · doi:10.1080/10669817.2017.1390652 · Cited by 45
Characteristics of Medical Liability Claims Against Dermatologists From 1991 Through 2015
Kornmehl, H. A., Singh, S., Adler, B. L., Wolf, A. E., Bochner, D. A., & Armstrong, A. W. (2017) · JAMA Dermatology · doi:10.1001/jamadermatol.2017.3713 · Cited by 39
Resources medical students use to derive a differential diagnosis
Graber, M. L., Tompkins, D. C., & Holland, J. J. (2009) · Medical Teacher · doi:10.1080/01421590802167436 · Cited by 40
Hirosawa, T., Harada, Y., Mizuta, K., Sakamoto, T., Tokumasu, K., & Shimizu, T. (2024) · JMIR Formative Research · doi:10.2196/59267 · Cited by 38
Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1
Moëll, B., Aronsson, F. S., & Akbar, S. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1616145 · Cited by 50
Feasibility of self-reflection as a tool to balance clinical reasoning strategies
Sibbald, M., & de Bruin, A. B. H. (2011) · Advances in Health Sciences Education · doi:10.1007/s10459-011-9320-5 · Cited by 38
Georgiou, A., Li, J., Thomas, J., Dahm, M. R., & Westbrook, J. I. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz032 · Cited by 40
Teschke, R., Eickhoff, A., Brown, A. C., Neuman, M. G., & Schulze, J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms21010212 · Cited by 30
Pennaforte, T., Moussa, A., Loye, N., Charlin, B., & Audétat, M. (2016) · JMIR Research Protocols · doi:10.2196/resprot.4938 · Cited by 39
Data omission by physician trainees on ICU rounds.
Artis, K. A., Bordley, J., Mohan, V., & Gold, J. A. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000003557 · Cited by 36
Characteristics of Disease-Specific and Generic Diagnostic Pitfalls
Schiff, G. D., Volodarskaya, M., Ruan, E., Lim, A., Wright, A. T., Singh, H., & Nieva, H. R. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.44531 · Cited by 38
Metadata
- Authors
- Graber, M. L., Franklin, N., & Gordon, R.
- Affiliations
- Northport VA Medical Center (US)
- ORCID
- Graber, Mark L.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2005-07-11
- Volume
- 165
- Issue
- 13
- Pages
- 1493
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2141222241
- Cited by
- 1,549
- References
- 45
- Citations by year
- 2026: 109 · 2025: 74 · 2024: 92 · 2023: 112 · 2022: 115 · 2021: 130 · 2020: 82 · 2019: 92 · 2018: 77 · 2017: 78 · 2016: 62 · 2015: 83 · 2014: 71 · 2013: 83 · 2012: 67
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- 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
- Health Sciences › Medicine › Pathology and Forensic Medicine › Autopsy Techniques and Outcomes
- Keywords
- diagnostic errors, internal medicine, cognitive factors, premature closure, heuristics, teamwork and communication, medical errors
- MeSH terms
- Australia, Diagnostic Errors, Humans, Internal Medicine, Interviews as Topic, Practice Patterns, Physicians', Quality Assurance, Health Care, Cognitive Science
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review