title: Understanding errors in diagnostic radiology: proposal of a classification scheme and application to emergency radiology.
abstract: Errors in image interpretation are a common problem in diagnostic radiology. Although many published articles provide trainees with the means to correctly interpret imaging studies, they do not provide a framework for understanding why and how errors occur. In this article, we propose a classification system that allows categorization of errors, which we hope can serve as a basis for peer review, self-education, and quality improvement programs. Our scheme incorporates elements of a classification system proposed by previous authors but also includes novel categories. In this article, we show the usefulness of our scheme by applying it to a specific, and particularly problematic, diagnosis in emergency radiology, namely that of dural sinus thrombosis.
authors.affiliation: Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA. prove001@mc.duke.edu
authors.forename: James M
authors.initials: JM
authors.lastname: Provenzale
authors.forename: Peter G
authors.initials: PG
authors.lastname: Kranz
mesh_terms: D003951:Diagnostic Errors / Q000145:classification* / Q000517:prevention & control*; D003952:Diagnostic Imaging / Q000592:standards*; D006801:Humans; D010380:Peer Review; D058996:Quality Improvement; D011871:Radiology / Q000193:education* / Q000592:standards*; D011872:Radiology Department, Hospital / Q000592:standards*