Diagnostic error in internal medicine.

By M. Graber, Nancy Franklin, Ruthanna Gordon. Archives of Internal Medicine, 2005

1,394 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Family Practice, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/a6f61db456b11eb06266266afb6afe161dd6c107

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. J. Ball
2. E. Balogh
3. B. Miller
4. Hardeep Singh
5. Eta S. Berner
6. M. Graber

In Family Practice

1. J. Ball
2. E. Balogh
3. B. Miller
4. Hardeep Singh
5. M. Graber
6. Eta S. Berner

In Radiology, Nuclear Medicine and Imaging

1. J. Ball
2. E. Balogh
3. B. Miller
4. M. Graber

Citations in the corpus

• Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment (2013, background): “Graber et al. estimated that approximately 75 % of diagnostic errors were related to “ cognitive factors ” [2].”
• Overconfidence as a cause of diagnostic error in medicine. (2008, background): “Most of the cognitive errors in diagnosis occur during the “synthesis” step, as the physician integrates his/her medical knowledge with the patient’s history and findings.(106) This process is largely subconscious and automatic.”
• Improving Diagnosis in Health Care (2015, positive): “Diagnostic errors may also be perceived as too difficult to address because the reasons for their occurrence are often complex and multi faceted (Berenson et al., 2014; Croskerry, 2003; Graber et al., 2005; Schiff et al., 2005; Zwaan et al., 2009).”
• Missed and Delayed Diagnosis of Dementia in Primary Care: Prevalence and Contributing Factors (2009, background): “These events are said to occur when diagnoses are unintentionally delayed, wrong, or missed altogether.(19) Missed and delayed dementia diagnosis leads to lost opportunities for treatment and increases patient and caregiver burden.”
• Watson: Beyond Jeopardy! (2013, background): “A recent study by Graber [20] reviews literature related to the causes of diagnostic error and discusses results obtained in a study of 100 " error cases.”
• Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “The most common errors were associated with “ premature closure ” , the tendency to stop considering other possibilities after reaching a diagnosis [30].”
• Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, neutral): “, more objective and reproducible) [12, 13, 15, 16, 17, 18, 19].”