ArticleJAMA internal medicine2024
Diagnostic Errors in Hospitalized Adults Who Died or Were Transferred to Intensive Care.
Article in JAMA internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed.
- Large language models enhance diagnostic reasoning of medical students in rheumatology: a randomized controlled trial.BMC medical education · 2026Trial
- A mixed methods study comparing video based and paper based diagnostic error education for medical students.Scientific reports · 2025Trial
- Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial.JAMA network open · 2024Trial
- The 5R's of large language model-assisted diagnosis: A practical framework for hospitalists.Journal of hospital medicine · 2026Article
- A multi-institutional rapid qualitative assessment of factors supporting diagnostic excellence in hospital medicine.Journal of hospital medicine · 2026Article
- The benchmark illusion: on the curious underestimation of AI and the uncertainty of its creators' gold standards.EClinicalMedicine · 2026Review
- Prevalence and Characteristics of Potentially Avoidable Interhospital Transfers.JAMA network open · 2026Article
- Critical Care-Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study.Journal of medical Internet research · 2026Article
- Incidence, contributing factors, and predictors of diagnostic errors in medical inpatients: A retrospective cohort study.Journal of hospital medicine · 2026Article
- Scoping review of patient and family engagement interventions in diagnosis: a paradox of too much, yet so little.BMJ quality & safety · 2026Article
- Metrology in Bioelectrical Impedance Analysis (BIA): From Measurement Science to Clinical and Research Applications.Sensors (Basel, Switzerland) · 2026Review
- Screening for Missed Opportunities for Diagnosis in the ED Using eTriggers and Large Language Models.JAMA network open · 2026Article
- Language-Specific Differences in Large Language Model Diagnostic Reasoning: A Translation-Controlled Clinical Vignette Study.Journal of clinical medicine · 2026Article
- "I Double Checked It with My Own Knowledge:" Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making.Journal of general internal medicine · 2026Article
- Better understanding the clinical reasoning skills of 4th-year medical students through think aloud interviews: implications for theory and practice.Advances in health sciences education : theory and practice · 2026Article
- Interpretable Machine Learning with SHAP Identifies Key Biomarkers in a Multi-Factorial Spectrum of Age-Related Neurological and Metabolic Conditions.International journal of molecular sciences · 2026Article
- Major discrepancy between clinical and autopsy diagnosis: a descriptive single-center analysis and its implications for the South African public health system.Frontiers in medicine · 2026Article
- Label-free molecular profiling of cancer using Raman spectroscopy: from fundamentals to clinical applications.Frontiers in oncology · 2026Review
- Interpretability and performance of a 3D C-vit model for accurate grading of pediatric brain tumors.Frontiers in oncology · 2026Article
- Evaluating the diagnostic reasoning of large language models in complex neuro-ophthalmological cases: a comparative analysis of GPT-o1 Pro, GPT-4o, Gemini, Grok 2 and DeepSeek.BMJ open ophthalmology · 2025Article
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12 authors.
Funding
Abstract
Importance: Diagnostic errors contribute to patient harm, though few data exist to describe their prevalence or underlying causes among medical inpatients. Objective: To determine the prevalence, underlying cause, and harms of diagnostic errors among hospitalized adults transferred to an intensive care unit (ICU) or who died. Design, Setting, and Participants: Retrospective cohort study conducted at 29 academic medical centers in the US in a random sample of adults hospitalized with general medical conditions and who were transferred to an ICU, died, or both from January 1 to December 31, 2019. Each record was reviewed by 2 trained clinicians to determine whether a diagnostic error occurred (ie, missed or delayed diagnosis), identify diagnostic process faults, and classify harms. Multivariable models estimated association between process faults and diagnostic error. Opportunity for diagnostic error reduction associated with each fault was estimated using the adjusted proportion attributable fraction (aPAF). Data analysis was performed from April through September 2023. Main Outcomes and Measures: Whether or not a diagnostic error took place, the frequency of underlying causes of errors, and harms associated with those errors. Results: Of 2428 patient records at 29 hospitals that underwent review (mean [SD] patient age, 63.9 [17.0] years; 1107 [45.6%] female and 1321 male individuals [54.4%]), 550 patients (23.0%; 95% CI, 20.9%-25.3%) had experienced a diagnostic error. Errors were judged to have contributed to temporary harm, permanent harm, or death in 436 patients (17.8%; 95% CI, 15.9%-19.8%); among the 1863 patients who died, diagnostic error was judged to have contributed to death in 121 (6.6%; 95% CI, 5.3%-8.2%). In multivariable models examining process faults associated with any diagnostic error, patient assessment problems (aPAF, 21.4%; 95% CI, 16.4%-26.4%) and problems with test ordering and interpretation (aPAF, 19.9%; 95% CI, 14.7%-25.1%) had the highest opportunity to reduce diagnostic errors; similar ranking was seen in multivariable models examining harmful diagnostic errors. Conclusions and Relevance: In this cohort study, diagnostic errors in hospitalized adults who died or were transferred to the ICU were common and associated with patient harm. Problems with choosing and interpreting tests and the processes involved with clinician assessment are high-priority areas for improvement efforts.
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