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{"title":"Spectrum of Cognitive Biases in Diagnostic Radiology.","authors":"Se-Young Yoon, Karen S Lee, Abraham F Bezuidenhout, Jonathan B Kruskal","doi":"10.1148/rg.230059","DOIUrl":null,"url":null,"abstract":"<p><p>Cognitive biases are systematic thought processes involving the use of a filter of personal experiences and preferences arising from the tendency of the human brain to simplify information processing, especially when taking in vast amounts of data such as from imaging studies. These biases encompass a wide spectrum of thought processes and frequently overlap in their concepts, with multiple biases usually in operation when interpretive and perceptual errors occur in radiology. The authors review the gamut of cognitive biases that occur in radiology. These biases are organized according to their expected stage of occurrence while the radiologist reads and interprets an imaging study. In addition, the authors propose several additional cognitive biases that have not yet, to their knowledge, been defined in the radiologic literature but are applicable to diagnostic radiology. Case examples are used to illustrate potential biases and their impact, with emergency radiology serving as the clinical paradigm, given the associated high imaging volumes, wide diversity of imaging examinations, and rapid pace, which can further increase a radiologist's reliance on biases and heuristics. Potential strategies to recognize and overcome one's personal biases at each stage of image interpretation are also discussed. Awareness of such biases and their unintended effects on imaging interpretations and patient outcomes may help make radiologists cognizant of their own biases that can result in diagnostic errors. Identification of cognitive bias in departmental and systematic quality improvement practices may represent another tool to prevent diagnostic errors in radiology. <sup>©</sup>RSNA, 2024 See the invited commentary by Larson in this issue.</p>","PeriodicalId":54512,"journal":{"name":"Radiographics","volume":"44 7","pages":"e230059"},"PeriodicalIF":5.2000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiographics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1148/rg.230059","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
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Abstract
Cognitive biases are systematic thought processes involving the use of a filter of personal experiences and preferences arising from the tendency of the human brain to simplify information processing, especially when taking in vast amounts of data such as from imaging studies. These biases encompass a wide spectrum of thought processes and frequently overlap in their concepts, with multiple biases usually in operation when interpretive and perceptual errors occur in radiology. The authors review the gamut of cognitive biases that occur in radiology. These biases are organized according to their expected stage of occurrence while the radiologist reads and interprets an imaging study. In addition, the authors propose several additional cognitive biases that have not yet, to their knowledge, been defined in the radiologic literature but are applicable to diagnostic radiology. Case examples are used to illustrate potential biases and their impact, with emergency radiology serving as the clinical paradigm, given the associated high imaging volumes, wide diversity of imaging examinations, and rapid pace, which can further increase a radiologist's reliance on biases and heuristics. Potential strategies to recognize and overcome one's personal biases at each stage of image interpretation are also discussed. Awareness of such biases and their unintended effects on imaging interpretations and patient outcomes may help make radiologists cognizant of their own biases that can result in diagnostic errors. Identification of cognitive bias in departmental and systematic quality improvement practices may represent another tool to prevent diagnostic errors in radiology. © RSNA, 2024 See the invited commentary by Larson in this issue.
放射诊断中的认知偏差谱。
认知偏差是一种系统化的思维过程,涉及个人经验和偏好的过滤,产生于人脑简化信息处理的倾向,尤其是在接收大量数据(如成像研究数据)时。这些偏差包括多种思维过程,其概念经常重叠,当放射学中出现解释和感知错误时,通常会出现多种偏差。作者回顾了放射学中出现的各种认知偏差。这些偏差是根据放射科医生在阅读和解释成像研究时预期出现的阶段来组织的。此外,作者还提出了另外几种认知偏差,据他们所知,这些偏差尚未在放射学文献中定义,但适用于放射诊断学。作者以急诊放射学作为临床范例,用病例来说明潜在的偏差及其影响,因为急诊放射学的成像量大、成像检查种类繁多、节奏快,这可能会进一步增加放射科医生对偏差和启发式方法的依赖。本文还讨论了在图像解读的每个阶段识别和克服个人偏见的潜在策略。认识到这些偏见及其对影像解读和患者预后的意外影响,有助于放射科医生认识到自己的偏见可能会导致诊断错误。在部门和系统质量改进实践中识别认知偏差可能是防止放射学诊断错误的另一种工具。©RSNA,2024 请参阅本期 Larson 的特邀评论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。