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Journal Article > Study
Assessing information sources to elucidate diagnostic process errors in radiologic imaging—a human factors framework.
Cochon L, Lacson R, Wang A, et al. J Am Med Inform Assoc. 2018;25:1507-1515.
As the diagnostic safety field has matured, researchers are striving to better define the diagnostic process and identify failure modes that may lead to patient harm. This study utilized human factors engineering approaches to characterize the information sources used in radiologic diagnostic imaging according to the Systems Engineering Initiative for Patient Safety (SEIPS) framework. Most potential errors were related to person-related factors, such as inadequate communication between clinicians, rather than technological factors.
Bruno MA. New York, NY: Oxford University Press; 2019. ISBN: 9780190665395.
Despite enhancements in medical imaging technology, diagnostic radiologists are still susceptible to uncertainty, bias, and overconfidence that hinder accurate image assessment. Discussing the scope and impact of human error in diagnostic radiology, this book explores the future of advanced information technologies in diagnostic radiology and provides recommendations to reduce the effect of human fallibility on imaging interpretation.