Why Verifying Diagnostic Decisions with a Checklist Can Help: Insights from Eye Tracking
Open accessAbstract
Making a diagnosis involves ratifying or verifying a proposed answer. Formalizing this verification process with checklists, which highlight key variables involved in the diagnostic decision, is often advocated. However, the mechanisms by which a checklist might allow clinicians to improve their verification process have not been well studied. We hypothesize that using a checklist to verify diagnostic decisions enhances analytic scrutiny of key variables, thereby improving clinicians' ability to find and fix mistakes. We asked 16 participants to verify their interpretation of 12 electrocardiograms, randomly assigning half to be verified with a checklist and half with an analytic prompt. While participants were verifying their interpretation, we tracked their eye movements. We analyzed these eye movements using a series of eye tracking variables theoretically linked to analytic scrutiny of key variables. We found that more errors were corrected using a checklist compared to an analytic prompt (.27 ± .53 errors per ECG vs. .04 ± .43, F 1,15 = 8.1, p = .01, η (2) = .20). Checklist use was associated with enhanced analytic scrutiny in all eye tracking measures assessed (F 6,10 = 6.0, p = .02). In this experiment, using a key variable checklist to verify diagnostic decisions improved error detection. This benefit was associated with enhanced analytic scrutiny of those key variables as measured by eye tracking.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The structured approach of checklists helps identify errors, correct them, and prevent premature closure.
“The structured approach helps identify errors, correct them, and prevent premature closure [206].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [206]
The Discussion reports that participants were more likely to find and fix diagnostic errors when verifying ECGs with a checklist. It says their more detailed scrutiny was 'potentially addressing errors related to premature diagnostic closure,' but does not establish that checklists prevent premature closure. Page numbers are not available in the supplied passages. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Medical Problem Solving: An Analysis of Clinical Reasoning
Elstein, A. S., Shulman, L. S., & Sprafka, S. A. (1978) · doi:10.4159/harvard.9780674189089 · Cited by 1,377 · see citing works
A Universal Model of Diagnostic Reasoning
Croskerry, P. (2009) · Academic Medicine · doi:10.1097/acm.0b013e3181ace703 · Cited by 1,016 · see citing works
Checklists to Reduce Diagnostic Errors
Ely, J. W., Graber, M. L., & Croskerry, P. (2011) · Academic Medicine · doi:10.1097/acm.0b013e31820824cd · Cited by 366 · see citing works
Flagged first, then by citations
Research works printed but not linked: 13
- Ark, T.K., Brooks, L.R., & Eva, K.W. (2006). Giving learners the best of both worlds: Do clinical teachers need to guard against teaching pattern recognition to novices? Academic Medicine, 81(4), 405–409. 16565197
- Augustyniak P Tadeusiewicz R Assessment of electrocardiogram visual interpretation strategy based on scanpath analysis Physiological Measurement 2006 27 7 597 10.1088/0967-3334/27/7/004 16705258 · DOI
- Charlin B Tardif J Boshuizen HPA Scripts and medical diagnostic knowledge: Theory and applications for clinical reasoning instruction and research Academic Medicine 2000 75 2 182 190 10.1097/00001888-200002000-00020 10693854 · DOI
- Eva K Hatala R LeBlanc V Brooks L Teaching from the clinical reasoning literature: Combined reasoning strategies help novice diagnosticians overcome misleading information Medical Education 2007 41 1152 1158 10.1111/j.1365-2923.2007.02923.x 18045367 · DOI
- Holmqvist K Nystrom M Andersson R Dewhurst R Jarodska H van de Weijer J Eye tracking: A comprehensive guide to methods and measures 2011 Oxford Oxford University Press
- Kulatunga-Moruzi C Brooks L Norman G Coordination of analytic and similarity-based processing strategies and expertise in dermatological diagnosis Teaching and Learning in Medicine 2001 13 2 110 116 10.1207/S15328015TLM1302_6 11302031 · DOI
- Mamede S Schmidt HG The structure of reflective practice in medicine Medical Education 2004 38 12 1302 1308 10.1111/j.1365-2929.2004.01917.x 15566542 · DOI · Paper page
- Mamede S Schmidt HG Penaforte JC Effects of reflective practice on the accuracy of medical diagnoses Medical Education 2008 42 5 468 475 10.1111/j.1365-2923.2008.03030.x 18412886 · DOI · Paper page
- Mamede S Schmidt HG Rikers R Diagnostic errors and reflective practice in medicine Journal of Evaluation in Clinical Practice 2007 13 1 138 145 10.1111/j.1365-2753.2006.00638.x 17286736 · DOI
- Sibbald, M., De Bruin, A., Cavalcanti, R., & van Merrienboer, J. (2013a). Do you have to re-examine to reconsider your diagnosis? Checklists and cardiac exam. BMJ Quality and Safety. 23386730
- Sibbald, M., De Bruin, A., & van Merrienboer, J. (2013b). Do checklists improve expert’s diagnostic decisions? Medical Education. 23398016
- Sibbald M De Bruin A van Merrienboer J Finding and fixing mistakes: Do checklists work for clinicians with different levels of experience? Advances in Health Sciences Education 2014 19 1 43 51 10.1007/s10459-013-9459-3 23625338 · DOI
- Zangemeister W Sherman K Stark L Evidence for a global scanpath strategy in viewing abstract compared with realistic images Neuropsychologia 1995 33 8 1009 1025 10.1016/0028-3932(95)00014-T 8524451 · DOI
Cited by
Sorted by citations
Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors
Yen, C., Epling, J. W., Rockwell, M., & Vaughn-Cooke, M. (2026) · Diagnostics · doi:10.3390/diagnostics16020347 · Cited by 6 · see citing works
- Authors
- Sibbald, M., de Bruin, A. B. H., Yu, E., & van Merrienboer, J. J. G.
- Affiliations
- Hamilton General Hospital (CA)
- University of Toronto (CA)
- Corresponding author
- Sibbald, Matthew
- Venue
- Advances in Health Sciences Education
- Published
- 2015-02-12
- Volume
- 20
- Issue
- 4
- Pages
- 1053-1060
- ISSN
- 1382-4996 (ISSN-L)
- 1573-1677
- PMC
- PMC4564443
- OpenAlex
- W1978687968
- Cited by
- 36
- References
- 3
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 6 · 2020: 3 · 2019: 3 · 2018: 1 · 2017: 4 · 2016: 3 · 2015: 1
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Advances in Health Sciences Education (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- Research Publications (Maastricht University) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- diagnostic decision-making, checklists, error detection, error correction, ECG interpretation, eye movements, clinical judgment, diagnostic errors
- MeSH terms
- Cardiology, Clinical Competence, Decision Making, Diagnostic Errors, Education, Medical, Graduate, Electrocardiography, Eye Movements, Humans, Ontario, Checklist
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