Literature DB >> 33664112

Am I Ready to Be an Independent Neuroradiologist? Objective Trends in Neuroradiology Fellows' Performance during the Fellowship Year.

J H Masur1, J E Schmitt1, D Lalevic1, T S Cook1, L J Bagley1, S Mohan1, A P Nayate2.   

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 complete 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 neuroradiologists were evaluated with regression models. Monthly variation in frequencies of call-discrepancy macros were assessed via χ2 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) = 79 minutes (95% CI, 71-86 minutes) and June (12th month) = 55 minutes (95% CI, 52-60 minutes; P value = .023). Monthly report turnaround times were inversely correlated with total volumes for CT (r = -0.70, F = 9.639, P value = .011) but not MR imaging. Words addended to preliminary reports, a surrogate measurement of report clarity, slightly improved and discrepancy rates decreased during the last 6 months of fellowship. A nadir for report turnaround times, discrepancy errors, and words addended to reports was seen in December and January.
CONCLUSIONS: Progress through fellowship correlates with a decline in report turnaround times and discrepancy rates for cross-sectional neuroimaging call studies and slight improvement in indirect quantitative measurement of report clarity. These metrics can be tracked throughout the academic year, and the midyear would be a logical time point for programs to assess objective progress of fellows and address any deficiencies.
© 2021 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2021        PMID: 33664112      PMCID: PMC8115377          DOI: 10.3174/ajnr.A7030

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  16 in total

1.  Radiologist report turnaround time: impact of pay-for-performance measures.

Authors:  Giles W L Boland; Elkan F Halpern; G Scott Gazelle
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

2.  Correlation among on-call resident study volume, discrepancy rate, and turnaround time.

Authors:  Naishadh A Shah; Michael Hoch; Anthony Willis; Brent Betts; Harshad K Patel; Beverly L Hershey
Journal:  Acad Radiol       Date:  2010-09       Impact factor: 3.173

3.  Opportunities for Targeted Education: Critical Neuroradiologic Findings Missed or Misinterpreted by Residents and Fellows.

Authors:  Joseph H Huntley; Marco Carone; David M Yousem; Lukasz S Babiarz
Journal:  AJR Am J Roentgenol       Date:  2015-12       Impact factor: 3.959

4.  Capricorn-A Web-Based Automatic Case Log and Volume Analytics for Diagnostic Radiology Residents.

Authors:  Po-Hao Chen; Yin Jie Chen; Tessa S Cook
Journal:  Acad Radiol       Date:  2015-08-08       Impact factor: 3.173

5.  Identifying benchmarks for discrepancy rates in preliminary interpretations provided by radiology trainees at an academic institution.

Authors:  Alexander T Ruutiainen; Mary H Scanlon; Jason N Itri
Journal:  J Am Coll Radiol       Date:  2011-09       Impact factor: 5.532

6.  Radiology report turnaround time: effect on resident education.

Authors:  Eric England; Jannette Collins; Richard D White; F Jacob Seagull; John Deledda
Journal:  Acad Radiol       Date:  2015-05       Impact factor: 3.173

7.  It is About "Time": Academic Neuroradiologist Time Distribution for Interpreting Brain MRIs.

Authors:  Altaib Al Yassin; Mohammad Salehi Sadaghiani; Suyash Mohan; R Nick Bryan; Ilya Nasrallah
Journal:  Acad Radiol       Date:  2018-12       Impact factor: 3.173

8.  Perception of radiology reporting efficacy by neurologists in general and university hospitals.

Authors:  A W Olthof; J C de Groot; A N Zorgdrager; P M C Callenbach; P M A van Ooijen
Journal:  Clin Radiol       Date:  2018-04-03       Impact factor: 2.350

9.  Generalist versus Subspecialist Characteristics of the U.S. Radiologist Workforce.

Authors:  Andrew B Rosenkrantz; Wenyi Wang; Danny R Hughes; Richard Duszak
Journal:  Radiology       Date:  2017-11-27       Impact factor: 11.105

10.  QRSE: a novel metric for the evaluation of trainee radiologist reporting skills.

Authors:  David Surrey; Richard E Sharpe; Richard J T Gorniak; Levon N Nazarian; Vijay M Rao; Adam E Flanders
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.