Curriculum for Radiology Residents to Reduce Errors in Diagnosis
Year: 2024
Type: article
Abstract: Radiological errors occur with an estimated frequency of 3-5% in daily practice, resulting in severe consequences such as missed or delayed diagnoses.[1] This rate translates to approximately 40 million diagnostic errors involving imaging annually worldwide, highlighting the critical need for effective error reduction strategies.[2] The majority of these errors stem from human factors, predominantly perceptual errors (failure to see an abnormality) and cognitive errors (misinterpretation of findings).[3] Despite advances in technology and education, diagnostic errors remain persistently high, indicating a pressing need to revise the current curriculum to focus more on error reduction and quality improvement.[4] Research suggests that enhanced training in diagnostic processes, bias awareness, and feedback mechanisms can significantly improve radiologist performance and patient outcomes.[2,5] Therefore, addressing these educational gaps is essential for improving the accuracy and reliability of radiological diagnoses, ultimately leading to better patient care.
Author: Inayat Grewal1*, Prateek Madaan2, Kriti Soni3
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949033672
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