2019
DOI: 10.1515/dx-2019-0019
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Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers

Abstract: Background Diagnostic errors cause substantial preventable harm, but national estimates vary widely from 40,000 to 4 million annually. This cross-sectional analysis of a large medical malpractice claims database was the first phase of a three-phase project to estimate the US burden of serious misdiagnosis-related harms. Methods We sought to identify diseases accounting for the majority of serious misdiagnosis-related harms (morbidity/mortality). Diagnostic error cases were identified from Controlled Risk Insu… Show more

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Cited by 109 publications
(95 citation statements)
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References 32 publications
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“…Many studies (e.g. [48][49][50][51][52]) have shown misdiagnosis is common, even for common disorders. MCAD, too, is challenging to learn to recognize and challenging to diagnose [12,34,53].…”
Section: Discussionmentioning
confidence: 99%
“…Many studies (e.g. [48][49][50][51][52]) have shown misdiagnosis is common, even for common disorders. MCAD, too, is challenging to learn to recognize and challenging to diagnose [12,34,53].…”
Section: Discussionmentioning
confidence: 99%
“…These positive predictions should be viewed against current evidence that diagnostic error is both common and harmful. In the US, recent estimates suggest a diagnostic error rate of 13–15% affecting the lives of around 12 million Americans annually, contributing to 10% of all deaths, and the highest proportion of medical malpractice claims [ 42 44 ]. Patients from racial and ethnic minorities, and those on low-incomes, are at higher risk of diagnostic error [ 45 ].…”
Section: Discussionmentioning
confidence: 99%
“…Educational interventions to increase overall knowledge do not necessarily improve diagnostic performance 19. More useful is tuition focused on scenarios involving frequently missed or wrongly diagnosed conditions, including vascular events, infections, cancer, and neurological disorders (eg, multiple sclerosis) 20. Targeted training, such as how to recognise subarachnoid haemorrhage,21 has prevented some condition‐specific diagnostic errors.…”
Section: Strategies To Prevent Diagnostic Errormentioning
confidence: 99%