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Abdominal Imaging Interpretive Errors in a Quality Assurance Database: One Institution's Experience Over a 5-Year
Michio Taya1, Theresia Aschauer2, Javier Villanueva-Meyer3
1Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Radiology interpretive errors in abdominal imaging are linked to patient harm. Error location significantly impacts harm, with some sites posing greater risks than others, informing quality assurance improvements.
Area of Science:
- Radiology
- Medical Quality Assurance
- Patient Safety
Background:
- Interpretive errors in diagnostic imaging can lead to patient harm.
- Quality assurance programs aim to identify and mitigate these errors.
- Understanding the relationship between error location and harm is crucial for targeted improvements.
Purpose of the Study:
- To investigate the association between the anatomic location of interpretive errors in abdominal imaging and patient harm.
- To identify specific error locations with higher or lower risks of causing patient harm.
Main Methods:
- A 5-year review of interpretive errors in abdominal and pelvic imaging from a quality assurance database.
- Data collected included imaging exam details, error location, and patient harm assessed using the Agency for Healthcare Research and Quality Harm Scale.
- Multivariable logistic regression was used to analyze the association between anatomic location and harm.
Main Results:
- 263 interpretive errors were identified, with common locations including hepatobiliary, gastrointestinal tract, bone, and reproductive organs.
- 63% of errors resulted in some level of patient harm.
- Error location was significantly associated with patient harm (P=0.003). Kidney/ureter/bladder, gastrointestinal tract, and reproductive organ errors had higher odds of harm compared to hepatobiliary errors.
Conclusions:
- The location of interpretive errors in abdominal radiology is significantly associated with patient harm.
- The most frequently reported error locations are not always the most harmful.
- Findings can guide evidence-based improvements in radiology quality assurance processes.
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