Errors in Radiology: A Biostatistical Framework
An error in radiology is an event commonly thought of in association with a malpractice claim by a patient. However, this is only a relatively weak association. Not all errors can be judged as malpractice. The majority of errors do not determine harm to patients, while a minority of them may cause relevant harm, including fatal consequences. For example, for emergency computed tomography (CT), the discrepancy rate between the initial report and the secondary interpretation is 6–27% but a change in patient management occurs in only 1–5% of these cases; the corresponding values for review of cross-sectional imaging in oncology are 12–19% and 3–9%, respectively . Errors are part of our human and professional life. We expect errors, even though we try to keep the error rate as low as possible. To deal with errors is a matter of numbers and statistics, beginning with the calculation of an error rate. Error analysis is of paramount relevance, both for the learning process and for strategies aimed at reducing the error rate . This is the rationale for attempts to outline a biostatistical framework for errors in radiology.
KeywordsDiagnostic Performance Interobserver Variability Screen Mammography Malpractice Claim Radiological Research
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