@article{220,
  keywords = {ergonomics, interpretation, medical imaging, perception, radiology},
  author = {Andrew J. Degnan and Emily H. Ghobadi and Peter Hardy and Elizabeth Krupinski and Elena P. Scali and Lindsay Stratchko and Adam Ulano and Eric Walker and Ashish P. Wasnik and William F. Auffermann},
  title = {Perceptual and Interpretive Error in Diagnostic Radiology-Causes and Potential Solutions.},
  abstract = {<p>Interpretation of increasingly complex imaging studies involves multiple intricate tasks requiring visual evaluation, cognitive processing, and decision-making. At each stage of this process, there are opportunities for error due to human factors including perceptual and ergonomic conditions. Investigation into the root causes of interpretive error in radiology first began over a century ago. In more recent work, there has been increasing recognition of the limits of human image perception and other human factors and greater acknowledgement of the role of the radiologist's environment in increasing the risk of error. This article reviews the state of research on perceptual and interpretive error in radiology. This article focuses on avenues for further error examination, and strategies for mitigating these errors are discussed. The relationship between artificial intelligence and interpretive error is also considered.</p>},
  year = {2019},
  journal = {Acad Radiol},
  volume = {26},
  pages = {833-845},
  month = {12/2019},
  issn = {1878-4046},
  doi = {10.1016/j.acra.2018.11.006},
  language = {eng},
}