

Mitigating Misses and Misinterpretations: AJR Podcast Series on Diagnostic Excellence and Error, Episode 4
Sep 25, 2024
Joining Francis Deng, MD, is David Yousem, a Professor of Radiology at Johns Hopkins, recognized for his expertise in neuroradiology. They dive into how fatigue and workload impact diagnostic accuracy in radiology. Strategies like the use of templates and maintaining vigilance are discussed to combat human error. Innovative techniques for image analysis and the value of multidisciplinary conferences in improving diagnostic outcomes are highlighted. The importance of contextual information in interpreting images is stressed, alongside emerging AI applications.
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Episode notes
Common Causes of Radiology Errors
- Perceptual and cognitive errors are the most common causes of malpractice claims in radiology.
- These errors are often detection misses and misinterpretations affecting diagnostic accuracy.
Workload Increases Error Risk
- Radiologists face growing volume and lower reimbursement, increasing workload pressure.
- High reading volume and fatigue inevitably lead to more diagnostic misses over time.
Limit Shifts to Reduce Fatigue
- Limit shift duration and case volumes to reduce fatigue-related errors.
- Splitting long weekend shifts is a smart practice to reduce error risk from fatigue.