Curriculum for Radiology Residents to Reduce Errors in Diagnosis
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-29
- DOI
- https://doi.org/10.5281/zenodo.13382081
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00