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ACGME Program Requirements for Graduate Medical Education in Neuroradiology
A. Elster (2011)
Radiologist Report Turnaround Time: Impact of Pay-for-Performance MeasuresYearbook of Diagnostic Radiology, 2011
A. Olthof, J.C. Groot, A.N. Zorgdrager, P. Callenbach, P. Ooijen (2018)
Perception of radiology reporting efficacy by neurologists in general and university hospitals.Clinical radiology, 73 7
J. Chen, J. Chen, F. Lexa, F. Lexa (2017)
Baseline Survey of the Neuroradiology Work Environment in the United States with Reported Trends in Clinical Work, Nonclinical Work, Perceptions of Trainees, and Burnout MetricsAmerican Journal of Neuroradiology, 38
EF. Boland WL. Giles (2010)
Radiologist Report Turnaround Time: Impact of Pay-for-Performance MeasuresAmerican Journal of Roentgenology, 195
S. Patel, C.L. Stanton, S.G. Miller, J. Patrie, J. Itri, T. Shepherd (2019)
Risk Factors for Perceptual-versus-Interpretative Errors in Diagnostic NeuroradiologyAmerican Journal of Neuroradiology, 40
A. Yassin, M. Sadaghiani, S. Mohan, R. Bryan, I. Nasrallah (2018)
It is About "Time": Academic Neuroradiologist Time Distribution for Interpreting Brain MRIs.Academic radiology, 25 12
C. Stern, T. Boehm, B. Seifert, N. Kawel‐Boehm (2018)
Subspecialized Radiological Reporting Expedites Turnaround Time of Radiology Reports and Increases ProductivityRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 190
Naishadh Shah, M. Hoch, Anthony Willis, Brent Betts, Harshad Patel, B. Hershey (2010)
Correlation among on-call resident study volume, discrepancy rate, and turnaround time.Academic radiology, 17 9
C. Sistrom, L. Deitte (2008)
Factors affecting attending agreement with resident early readings of computed tomography and magnetic resonance imaging of the head, neck, and spine.Academic radiology, 15 7
K. Stankiewicz, M. Cohen, M. Carone, G. Sevinc, P. Nagy, J. Lewin, D. Yousem, L.S. Babiarz (2016)
Comparing Preliminary and Final Neuroradiology Reports: What Factors Determine the Differences?American Journal of Neuroradiology, 37
David Surrey, Richard Sharpe, R. Gorniak, L. Nazarian, V. Rao, A. Flanders (2013)
QRSE: a Novel Metric for the Evaluation of Trainee Radiologist Reporting SkillsJournal of Digital Imaging, 26
(2020)
A language and environment for statistical computing. R Foundation for Statistical
J. Verdoorn, C. Hunt, M. Luetmer, C. Wood, L. Eckel, K. Schwartz, F. Diehn, D. Kallmes (2014)
Increasing Neuroradiology Exam Volumes On-Call Do Not Result in Increased Major Discrepancies in Primary Reads Performed by ResidentsThe Open Neuroimaging Journal, 8
A. Rosenkrantz, Wenyi Wang, D. Hughes, R. Duszak (2017)
Generalist versus Subspecialist Characteristics of the U.S. Radiologist Workforce.Radiology, 286 3
Eric England, J. Collins, Richard White, F. Seagull, John Deledda (2015)
Radiology report turnaround time: effect on resident education.Academic radiology, 22 5
Po-Hao Chen, Y. Chen, T. Cook (2015)
Capricorn-A Web-Based Automatic Case Log and Volume Analytics for Diagnostic Radiology Residents.Academic radiology, 22 10
J. Huntley, M. Carone, D. Yousem, L.S. Babiarz (2015)
Opportunities for Targeted Education: Critical Neuroradiologic Findings Missed or Misinterpreted by Residents and Fellows.AJR. American journal of roentgenology, 205 6
A. Ruutiainen, M. Scanlon, J. Itri (2011)
Identifying benchmarks for discrepancy rates in preliminary interpretations provided by radiology trainees at an academic institution.Journal of the American College of Radiology : JACR, 8 9
PRACTICE PERSPECTIVES Am I Ready to Be an Independent Neuroradiologist? Objective Trends in Neuroradiology Fellows’ Performance during the Fellowship Year J.H. Masur, J.E. Schmitt, D. Lalevic, T.S. Cook, L.J. Bagley, S. Mohan, and A.P. Nayate ABSTRACT BACKGROUND AND PURPOSE: Aside from basic Accreditation Council for Graduate Medical Education guidelines, few metrics are in place to monitor fellows’ progress. The purpose of this study was to determine objective trends in neuroradiology fellowship training on-call performance during an academic year. MATERIALS AND METHODS: We retrospectively reviewed the number of cross-sectional neuroimaging studies dictated with com- plete reports by neuroradiology fellows during independent call. Monthly trends in total call cases, report turnaround times, relationships between volume and report turnaround times, and words addended to preliminary reports by attending neuroradi- ologists were evaluated with regression models. Monthly variation in frequencies of call-discrepancy macros were assessed via x tests. Changes in frequencies of specific macro use between fellowship semesters were assessed via serial 2-sample tests of proportions. RESULTS: From 2012 to 2017, for 29 fellows, monthly median report turnaround times significantly decreased during the academic year: July (first month) ¼ 79 minutes (95% CI, 71–86 minutes) and June (12th month) ¼ 55 minutes (95%
American Journal of Neuroradiology – American Journal of Neuroradiology
Published: May 1, 2021
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