ArticleAJNR. American journal of neuroradiology2024
Shift Volume Directly Impacts Neuroradiology Error Rate at a Large Academic Medical Center: The Case for Volume Limits.
Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Retrospective detection of missed intra-cranial aneurysms on computed tomography angiography using a commercial deep learning algorithm.Neuroradiology · 2025Article
- Expected Trainee Interpretive Volumes and Potential Threats to Neuroradiology Program Viability: A Survey of Neuroradiology Fellowship Program Directors.AJNR. American journal of neuroradiology · 2025Article
- In Plain Sight, a Radiology Workforce Crisis in the Making: Gap between Job Growth and the Radiology Training Pipeline.AJNR. American journal of neuroradiology · 2025Article
- Reflections on training and management of junior radiologists through analysis of correction rates in emergency radiology reports.BMC medical education · 2025Article
- Forecasting trends of rising emergency department chest imaging using machine learning.Emergency radiology · 2025Article
- Analysis of Requirements within Neuroradiology Job Advertisements in a Specific Timeframe.AJNR. American journal of neuroradiology · 2024Article
- Shift Volumes.AJNR. American journal of neuroradiology · 2024Article
- A Public Health Perspective on Radiologists' Interpretation Volumes.AJNR. American journal of neuroradiology · 2024Article
- Striking a Balance: Global Perspectives on Neuroradiology Workload and Quality of Service.AJNR. American journal of neuroradiology · 2024Article
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Abstract
background and purposeUnlike in Europe and Japan, guidelines or recommendations from specialized radiological societies on workflow management and adaptive intervention to reduce error rates are currently lacking in the United States. This study of neuroradiologic reads at a large US academic medical center, which may hopefully contribute to this discussion, found a direct relationship between error rate and shift volume. MATERIALS AND
methodsCT and MR imaging reports from our institution's Neuroradiology Quality Assurance database (years 2014-2020) were searched for attending physician errors. Data were collected on shift volume specific error rates per 1000 interpreted studies and RADPEER scores. Optimal cutoff points for 2, 3 and 4 groups of shift volumes were computed along with subgroups' error rates.
resultsA total of 643 errors were found, 91.7% of which were clinically significant (RADPEER 2b, 3b). The overall error rate (errors/1000 examinations) was 2.36. The best single shift volume cutoff point generated 2 groups: ≤ 26 studies (error rate 1.59) and > 26 studies (2.58; OR: 1.63,
conclusionsLower shift volumes yielded significantly lower error rates. The lowest error rates were observed with shift volumes that were limited to 19-26 studies. Error rates at shift volumes between 67-90 studies were 226% higher, compared with the error rate at shift volumes of ≤ 19 studies.
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