Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction
Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed opportunities for treatment. Since medical imaging is a major contributor to the overall diagnostic process, it is also a major potential sourc...
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Published in | Radiographics Vol. 35; no. 6; p. 1668 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
01.10.2015
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Abstract | Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed opportunities for treatment. Since medical imaging is a major contributor to the overall diagnostic process, it is also a major potential source of diagnostic error. Although some diagnoses may be missed because of the technical or physical limitations of the imaging modality, including image resolution, intrinsic or extrinsic contrast, and signal-to-noise ratio, most missed radiologic diagnoses are attributable to image interpretation errors by radiologists. Radiologic interpretation cannot be mechanized or automated; it is a human enterprise based on complex psychophysiologic and cognitive processes and is itself subject to a wide variety of error types, including perceptual errors (those in which an important abnormality is simply not seen on the images) and cognitive errors (those in which the abnormality is visually detected but the meaning or importance of the finding is not correctly understood or appreciated). The overall prevalence of radiologists' errors in practice does not appear to have changed since it was first estimated in the 1960s. The authors review the epidemiology of errors in diagnostic radiology, including a recently proposed taxonomy of radiologists' errors, as well as research findings, in an attempt to elucidate possible underlying causes of these errors. The authors also propose strategies for error reduction in radiology. On the basis of current understanding, specific suggestions are offered as to how radiologists can improve their performance in practice. |
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AbstractList | Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed opportunities for treatment. Since medical imaging is a major contributor to the overall diagnostic process, it is also a major potential source of diagnostic error. Although some diagnoses may be missed because of the technical or physical limitations of the imaging modality, including image resolution, intrinsic or extrinsic contrast, and signal-to-noise ratio, most missed radiologic diagnoses are attributable to image interpretation errors by radiologists. Radiologic interpretation cannot be mechanized or automated; it is a human enterprise based on complex psychophysiologic and cognitive processes and is itself subject to a wide variety of error types, including perceptual errors (those in which an important abnormality is simply not seen on the images) and cognitive errors (those in which the abnormality is visually detected but the meaning or importance of the finding is not correctly understood or appreciated). The overall prevalence of radiologists' errors in practice does not appear to have changed since it was first estimated in the 1960s. The authors review the epidemiology of errors in diagnostic radiology, including a recently proposed taxonomy of radiologists' errors, as well as research findings, in an attempt to elucidate possible underlying causes of these errors. The authors also propose strategies for error reduction in radiology. On the basis of current understanding, specific suggestions are offered as to how radiologists can improve their performance in practice. |
Author | Bruno, Michael A Abujudeh, Hani H Walker, Eric A |
Author_xml | – sequence: 1 givenname: Michael A surname: Bruno fullname: Bruno, Michael A organization: From the Department of Radiology, H-066, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033 (M.A.B., E.A.W.); Department of Radiology and Nuclear Medicine, Uniformed University of the Health Sciences, Bethesda, Md (E.A.W.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (H.H.A.) – sequence: 2 givenname: Eric A surname: Walker fullname: Walker, Eric A organization: From the Department of Radiology, H-066, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033 (M.A.B., E.A.W.); Department of Radiology and Nuclear Medicine, Uniformed University of the Health Sciences, Bethesda, Md (E.A.W.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (H.H.A.) – sequence: 3 givenname: Hani H surname: Abujudeh fullname: Abujudeh, Hani H organization: From the Department of Radiology, H-066, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033 (M.A.B., E.A.W.); Department of Radiology and Nuclear Medicine, Uniformed University of the Health Sciences, Bethesda, Md (E.A.W.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (H.H.A.) |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26466178$$D View this record in MEDLINE/PubMed |
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PublicationTitle | Radiographics |
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Snippet | Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed... |
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SubjectTerms | Attitude of Health Personnel Causality Checklist Clinical Competence Cognition Diagnosis, Computer-Assisted Diagnostic Errors - prevention & control Diagnostic Imaging Humans Metacognition Observer Variation Quality Improvement - organization & administration Radiology - classification Radiology - methods Radiology - organization & administration Radiology - statistics & numerical data Risk Reduction Behavior Visual Perception |
Title | Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction |
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