Literature DB >> 18628322

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

S McGurk1, K Brauer, T V Macfarlane, K A Duncan.   

Abstract

This study sought to confirm whether reports generated in a department of radiology contain more errors if generated using voice recognition (VR) software than if traditional dictation-transcription (DT) is used. All radiology reports generated over a 1-week period in a British teaching hospital were assessed. The presence of errors and their impact on the report were assessed. Data collected included the type of report, site of dictation, the experience of the operator, and whether English was the first language of the operator. 1887 reports were reviewed. 1160 (61.5%) were dictated using VR and 727 reports (38.5%) were generated by DT. 71 errors (3.8% of all reports) were identified. 56 errors were made using VR (4.8% of VR reports), whereas 15 errors were identified in DT reports (2.1% of transcribed reports). The difference in report errors between these two dictation methods was statistically significant (p = 0.002). Of the 71 reports containing errors, 37 (52.1%) had errors that affecting understanding. Other factors were also identified that significantly increased the likelihood of errors in a VR-generated report, such as working in a busy inpatient environment (p<0.001) and having a language other than English as a first language (p = 0.034). Operator grade was not significantly associated with increased errors. In conclusion, using VR significantly increases the number of reports containing errors. Errors using VR are significantly more likely to occur in noisy areas with a high workload and are more likely to be made by radiologists for whom English is not their first language.

Mesh:

Year:  2008        PMID: 18628322     DOI: 10.1259/bjr/20698753

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  17 in total

1.  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

2.  Non-clinical errors using voice recognition dictation software for radiology reports: a retrospective audit.

Authors:  Chian A Chang; Rodney Strahan; Damien Jolley
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

3.  Development of an Automated Bone Mineral Density Software Application: Facilitation Radiologic Reporting and Improvement of Accuracy.

Authors:  I-Ta Tsai; Meng-Yuan Tsai; Ming-Ting Wu; Clement Kuen-Huang Chen
Journal:  J Digit Imaging       Date:  2016-06       Impact factor: 4.056

4.  Learning curve of speech recognition.

Authors:  Tomi A Kauppinen; Johanna Kaipio; Mika P Koivikko
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

5.  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

6.  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

Review 7.  Electronic Health Record Interactions through Voice: A Review.

Authors:  Yaa A Kumah-Crystal; Claude J Pirtle; Harrison M Whyte; Edward S Goode; Shilo H Anders; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

8.  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
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

9.  Structured report compliance: effect on audio dictation time, report length, and total radiologist study time.

Authors:  Tarek N Hanna; Haris Shekhani; Kiran Maddu; Chao Zhang; Zhengjia Chen; Jamlik-Omari Johnson
Journal:  Emerg Radiol       Date:  2016-06-25

Review 10.  Risks and benefits of speech recognition for clinical documentation: a systematic review.

Authors:  Tobias Hodgson; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2015-11-17       Impact factor: 4.497

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