Literature DB >> 27469208

Comparing Preliminary and Final Neuroradiology Reports: What Factors Determine the Differences?

K Stankiewicz1, M Cohen1, M Carone2, G Sevinc1, P G Nagy1, J S Lewin1, D M Yousem3, L S Babiarz1.   

Abstract

BACKGROUND AND
PURPOSE: Trainees' interpretations of neuroradiologic studies are finalized by faculty neuroradiologists. We aimed to identify the factors that determine the degree to which the preliminary reports are modified.
MATERIALS AND METHODS: The character length of the preliminary and final reports and the percentage character change between the 2 reports were determined for neuroradiology reports composed during November 2012 to October 2013. Examination time, critical finding flag, missed critical finding flag, trainee level, faculty experience, imaging technique, and native-versus-non-native speaker status of the reader were collected. Multivariable linear regression models were used to evaluate the association between mean percentage character change and the various factors.
RESULTS: Of 34,661 reports, 2322 (6.7%) were read by radiology residents year 1; 4429 (12.8%), by radiology residents year 2; 3663 (10.6%), by radiology residents year 3; 2249 (6.5%), by radiology residents year 4; and 21,998 (63.5%), by fellows. The overall mean percentage character change was 14.8% (range, 0%-701.8%; median, 6.6%). Mean percentage character change increased for a missed critical finding (+41.6%, P < .0001), critical finding flag (+1.8%, P < .001), MR imaging studies (+3.6%, P < .001), and non-native trainees (+4.2%, P = .018). Compared with radiology residents year 1, radiology residents year 2 (-5.4%, P = .002), radiology residents year 3 (-5.9%, P = .002), radiology residents year 4 (-8.2%, P < .001), and fellows (-8.7%; P < .001) had a decreased mean percentage character change. Senior faculty had a lower mean percentage character change (-6.88%, P < .001). Examination time and non-native faculty did not affect mean percentage character change.
CONCLUSIONS: A missed critical finding, critical finding flag, MR imaging technique, trainee level, faculty experience level, and non-native-trainee status are associated with a higher degree of modification of a preliminary report. Understanding the factors that influence the extent of report revisions could improve the quality of report generation and trainee education.
© 2016 by American Journal of Neuroradiology.

Year:  2016        PMID: 27469208      PMCID: PMC7963781          DOI: 10.3174/ajnr.A4897

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


  9 in total

1.  Quality control in neuroradiology: discrepancies in image interpretation among academic neuroradiologists.

Authors:  L S Babiarz; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

2.  Radiology Report Comparator: a novel method to augment resident education.

Authors:  Richard E Sharpe; David Surrey; Richard J T Gorniak; Levon Nazarian; Vijay M Rao; Adam E Flanders
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

3.  Quality control in neuroradiology: impact of trainees on discrepancy rates.

Authors:  V G Viertel; L S Babiarz; M Carone; J S Lewin; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

4.  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

5.  Preliminary radiology resident interpretations versus final attending radiologist interpretations and the impact on patient care in a community hospital.

Authors:  Richard B Ruchman; Joseph Jaeger; Ernest F Wiggins; Syndi Seinfeld; Vikas Thakral; Sudha Bolla; Sara Wallach
Journal:  AJR Am J Roentgenol       Date:  2007-09       Impact factor: 3.959

6.  Radiology resident preliminary reporting in an independent call environment: multiyear assessment of volume, timeliness, and accuracy.

Authors:  Brent D Weinberg; Michael D Richter; Julie G Champine; M Craig Morriss; Travis Browning
Journal:  J Am Coll Radiol       Date:  2015-01       Impact factor: 5.532

7.  Initial evaluation of a continuous speech recognition program for radiology.

Authors:  K M Kanal; N J Hangiandreou; A M Sykes; H E Eklund; P A Araoz; J A Leon; B J Erickson
Journal:  J Digit Imaging       Date:  2001-03       Impact factor: 4.056

8.  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

9.  Clinical impact of diagnostic imaging discrepancy by radiology trainees in an urban teaching hospital emergency department.

Authors:  Steven Marc Friedman; Erica Merman; Amit Chopra
Journal:  Int J Emerg Med       Date:  2013-07-16
  9 in total
  2 in total

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

Authors:  J H Masur; J E Schmitt; D Lalevic; T S Cook; L J Bagley; S Mohan; A P Nayate
Journal:  AJNR Am J Neuroradiol       Date:  2021-03-04       Impact factor: 3.825

2.  Radiology Performed Fluoroscopy-Guided Lumbar Punctures Decrease Volume of Diagnostic Study Interpretation - Impact on Resident Training and Potential Solutions.

Authors:  Tyler John Richards; James Eric Schmitt; Leo J Wolansky; Ameya P Nayate
Journal:  J Clin Imaging Sci       Date:  2021-07-14
  2 in total

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