Literature DB >> 24859725

Creation and implementation of department-wide structured reports: an analysis of the impact on error rate in radiology reports.

C Matthew Hawkins1, Seth Hall, Bin Zhang, Alexander J Towbin.   

Abstract

The purpose of this study was to evaluate and compare textual error rates and subtypes in radiology reports before and after implementation of department-wide structured reports. Randomly selected radiology reports that were generated following the implementation of department-wide structured reports were evaluated for textual errors by two radiologists. For each report, the text was compared to the corresponding audio file. Errors in each report were tabulated and classified. Error rates were compared to results from a prior study performed prior to implementation of structured reports. Calculated error rates included the average number of errors per report, average number of nongrammatical errors per report, the percentage of reports with an error, and the percentage of reports with a nongrammatical error. Identical versions of voice-recognition software were used for both studies. A total of 644 radiology reports were randomly evaluated as part of this study. There was a statistically significant reduction in the percentage of reports with nongrammatical errors (33 to 26%; p = 0.024). The likelihood of at least one missense omission error (omission errors that changed the meaning of a phrase or sentence) occurring in a report was significantly reduced from 3.5 to 1.2% (p = 0.0175). A statistically significant reduction in the likelihood of at least one comission error (retained statements from a standardized report that contradict the dictated findings or impression) occurring in a report was also observed (3.9 to 0.8%; p = 0.0007). Carefully constructed structured reports can help to reduce certain error types in radiology reports.

Mesh:

Year:  2014        PMID: 24859725      PMCID: PMC4171430          DOI: 10.1007/s10278-014-9699-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  10 in total

1.  Evaluation of the accuracy of a continuous speech recognition software system in 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:  2000-05       Impact factor: 4.056

2.  Improving communication of diagnostic radiology findings through structured reporting.

Authors:  Lawrence H Schwartz; David M Panicek; Alexandra R Berk; Yuelin Li; Hedvig Hricak
Journal:  Radiology       Date:  2011-04-25       Impact factor: 11.105

3.  Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

Authors:  C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

4.  Radiology report clarity: a cohort study of structured reporting compared with conventional dictation.

Authors:  Annette J Johnson; Michael Y M Chen; Michael E Zapadka; Eric M Lyders; Benjamin Littenberg
Journal:  J Am Coll Radiol       Date:  2010-07       Impact factor: 5.532

Review 5.  Radiology reporting, past, present, and future: the radiologist's perspective.

Authors:  Bruce I Reiner; Nancy Knight; Eliot L Siegel
Journal:  J Am Coll Radiol       Date:  2007-05       Impact factor: 5.532

6.  Frequency and spectrum of errors in final radiology reports generated with automatic speech recognition technology.

Authors:  Leslie E Quint; Douglas J Quint; James D Myles
Journal:  J Am Coll Radiol       Date:  2008-12       Impact factor: 5.532

7.  The effect of voice recognition software on comparative error rates in radiology reports.

Authors:  S McGurk; K Brauer; T V Macfarlane; K A Duncan
Journal:  Br J Radiol       Date:  2008-07-15       Impact factor: 3.039

8.  Improving consistency in radiology reporting through the use of department-wide standardized structured reporting.

Authors:  David B Larson; Alex J Towbin; Rebecca M Pryor; Lane F Donnelly
Journal:  Radiology       Date:  2013-01-17       Impact factor: 11.105

9.  From guidelines to practice: how reporting templates promote the use of radiology practice guidelines.

Authors:  Charles E Kahn; Marta E Heilbrun; Kimberly E Applegate
Journal:  J Am Coll Radiol       Date:  2013-01-16       Impact factor: 5.532

Review 10.  The challenges, opportunities, and imperative of structured reporting in medical imaging.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2009-12       Impact factor: 4.056

  10 in total
  22 in total

1.  Conversion of Radiology Reporting Templates to the MRRT Standard.

Authors:  Charles E Kahn; Brad Genereaux; Curtis P Langlotz
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

2.  Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.

Authors:  Matthew J Minn; Arash R Zandieh; Ross W Filice
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

Review 3.  The state of structured reporting: the nuance of standardized language.

Authors:  Lindsey A G Shea; Alexander J Towbin
Journal:  Pediatr Radiol       Date:  2019-03-29

4.  Structured reports of videofluoroscopic swallowing studies have the potential to improve overall report quality compared to free text reports.

Authors:  Franziska Schoeppe; Wieland H Sommer; Mareike Haack; Miriam Havel; Marika Rheinwald; Juliane Wechtenbruch; Martin R Fischer; Felix G Meinel; Bastian O Sabel; Nora N Sommer
Journal:  Eur Radiol       Date:  2017-07-28       Impact factor: 5.315

5.  Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.

Authors:  R E Motyer; S Liddy; W C Torreggiani; O Buckley
Journal:  Ir J Med Sci       Date:  2016-10-01       Impact factor: 1.568

6.  Structured reporting of MRI of the shoulder - improvement of report quality?

Authors:  Sebastian Gassenmaier; Marco Armbruster; Florian Haasters; Tobias Helfen; Thomas Henzler; Sedat Alibek; Dominik Pförringer; Wieland H Sommer; Nora N Sommer
Journal:  Eur Radiol       Date:  2017-03-13       Impact factor: 5.315

Review 7.  From imaging to reimbursement: what the pediatric radiologist needs to know about health care payers, documentation, coding and billing.

Authors:  Chul Y Chung; Mark D Alson; Richard Duszak; Andrew J Degnan
Journal:  Pediatr Radiol       Date:  2018-03-19

8.  A default normal chest CT structured reporting field for coronary calcifications does not cause excessive false-negative reporting.

Authors:  William R Walter; Shlomit Goldberg-Stein; Jeffrey M Levsky; Hillel W Cohen; Meir H Scheinfeld
Journal:  J Am Coll Radiol       Date:  2015-05-16       Impact factor: 5.532

9.  Structured reporting in petrous bone MRI examinations: impact on report completeness and quality.

Authors:  Marco Armbruster; Sebastian Gassenmaier; Mareike Haack; Maximilian Reiter; Dominik Nörenberg; Thomas Henzler; Nora N Sommer; Wieland H Sommer; Franziska Braun
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-23       Impact factor: 2.924

10.  Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.

Authors:  Laurie R Margolies; Gaurav Pandey; Eliot R Horowitz; David S Mendelson
Journal:  AJR Am J Roentgenol       Date:  2015-11-20       Impact factor: 3.959

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