Skip to main content
Top
Published in: Journal of Digital Imaging 5/2014

01-10-2014

Creation and Implementation of Department-Wide Structured Reports: An Analysis of the Impact on Error Rate in Radiology Reports

Authors: C. Matthew Hawkins, Seth Hall, Bin Zhang, Alexander J. Towbin

Published in: Journal of Imaging Informatics in Medicine | Issue 5/2014

Login to get access

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.
Literature
1.
go back to reference Quint LE, Quint DJ, Myles JD: Frequency and spectrum of errors in final radiology report generated with automatic speech recognition technology. J Am Coll Radiol 5:1196–1199, 2008PubMedCrossRef Quint LE, Quint DJ, Myles JD: Frequency and spectrum of errors in final radiology report generated with automatic speech recognition technology. J Am Coll Radiol 5:1196–1199, 2008PubMedCrossRef
2.
go back to reference McGurk S, Brauer K, Macfarlane TV, Duncan KA: The effect of voice recognition software on comparative error rates in radiology reports. Br J Radiol 81:767–770, 2008PubMedCrossRef McGurk S, Brauer K, Macfarlane TV, Duncan KA: The effect of voice recognition software on comparative error rates in radiology reports. Br J Radiol 81:767–770, 2008PubMedCrossRef
3.
go back to reference Kanal KM, Hangiandreou NJ, Sykes AMG, Eklund HE, Araoz PA, Leon JA, Erickson BJ: Evaluation of the accuracy of continuous speech recognition software system in radiology. J Digit Imaging 13:211–212, 2000PubMedCrossRefPubMedCentral Kanal KM, Hangiandreou NJ, Sykes AMG, Eklund HE, Araoz PA, Leon JA, Erickson BJ: Evaluation of the accuracy of continuous speech recognition software system in radiology. J Digit Imaging 13:211–212, 2000PubMedCrossRefPubMedCentral
4.
go back to reference Hawkins CM, Hall S, Hardin J, Salisbury S, Towbin AJ: Pre-populated radiology report templates: a prospective analysis of error rate and dictation time. J Digit Imaging 25(4):504–511, 2012PubMedCrossRefPubMedCentral Hawkins CM, Hall S, Hardin J, Salisbury S, Towbin AJ: Pre-populated radiology report templates: a prospective analysis of error rate and dictation time. J Digit Imaging 25(4):504–511, 2012PubMedCrossRefPubMedCentral
5.
go back to reference Kahn CE, Heilbrun ME, Applegate KE: From guidelines to practice: how reporting templates promote the use of radiology practice guidelines. J Am Coll Radiol 10:268–273, 2013PubMedCrossRefPubMedCentral Kahn CE, Heilbrun ME, Applegate KE: From guidelines to practice: how reporting templates promote the use of radiology practice guidelines. J Am Coll Radiol 10:268–273, 2013PubMedCrossRefPubMedCentral
6.
go back to reference Schwartz LH, Panicek DM, Berk AR, Li Y, Hricak H: Improving communication of diagnostic radiology findings through structured reporting. Radiology 260(1):174–181, 2011PubMedCrossRefPubMedCentral Schwartz LH, Panicek DM, Berk AR, Li Y, Hricak H: Improving communication of diagnostic radiology findings through structured reporting. Radiology 260(1):174–181, 2011PubMedCrossRefPubMedCentral
8.
go back to reference Larson DB, Towbin AJ, Pryor RM, Donnelly LF: Improving consistency in radiology reporting through the use of department-wide standardized structured reporting. Radiology 267(1):240–250, 2013PubMedCrossRef Larson DB, Towbin AJ, Pryor RM, Donnelly LF: Improving consistency in radiology reporting through the use of department-wide standardized structured reporting. Radiology 267(1):240–250, 2013PubMedCrossRef
9.
go back to reference Johnson AJ, Chen MY, Zapadka ME, Lyders EM, Littenberg B: Radiology report clarity: a cohort study of structured reporting compared with conventional dictation. J Am Coll Radiol 7:501–506, 2010PubMedCrossRef Johnson AJ, Chen MY, Zapadka ME, Lyders EM, Littenberg B: Radiology report clarity: a cohort study of structured reporting compared with conventional dictation. J Am Coll Radiol 7:501–506, 2010PubMedCrossRef
10.
go back to reference Reiner BI, Knight N, Siegel EL: Radiology reporting, past, present, and future: the radiologist’s perspective. J Am Coll Radiol 4:313–319, 2007PubMedCrossRef Reiner BI, Knight N, Siegel EL: Radiology reporting, past, present, and future: the radiologist’s perspective. J Am Coll Radiol 4:313–319, 2007PubMedCrossRef
Metadata
Title
Creation and Implementation of Department-Wide Structured Reports: An Analysis of the Impact on Error Rate in Radiology Reports
Authors
C. Matthew Hawkins
Seth Hall
Bin Zhang
Alexander J. Towbin
Publication date
01-10-2014
Publisher
Springer US
Published in
Journal of Imaging Informatics in Medicine / Issue 5/2014
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-014-9699-7

Other articles of this Issue 5/2014

Journal of Digital Imaging 5/2014 Go to the issue