Literature DB >> 16223617

Voice recognition for radiology reporting: is it good enough?

D S Rana1, G Hurst, L Shepstone, J Pilling, J Cockburn, M Crawford.   

Abstract

AIM: To compare the efficiency and accuracy of radiology reports generated by voice recognition (VR) against the traditional tape dictation-transcription (DT) method.
MATERIALS AND METHODS: Two hundred and twenty previously reported computed radiography (CR) and cross-sectional imaging (CSI) examinations were separately entered into the Radiology Information System (RIS) using both VR and DT. The times taken and errors found in the reports were compared using univariate analyses based upon the sign-test, and a general linear model constructed to examine the mean differences between the two methods.
RESULTS: There were significant reductions (p<0.001) in the mean difference in the reporting times using VR compared with DT for the two reporting methods assessed (CR, +67.4; CSI, +122.1s). There was a significant increase in the mean difference in the actual radiologist times using VR compared with DT in the CSI reports; -14.3s, p=0.037 (more experienced user); -13.7s, p=0.014 (less experienced user). There were significantly more total and major errors when using VR compared with DT for CR reports (-0.25 and -0.26, respectively), and in total errors for CSI (-0.75, p<0.001), but no difference in major errors (-0.16, p=0.168). Although there were significantly more errors with VR in the less experienced group of users (mean difference in total errors -0.90, and major errors -0.40, p<0.001), there was no significant difference in the more experienced (p=0.419 and p=0.814, respectively).
CONCLUSIONS: VR is a viable reporting method for experienced users, with a quicker overall report production time (despite an increase in the radiologists' time) and a tendency to more errors for inexperienced users.

Entities:  

Mesh:

Year:  2005        PMID: 16223617     DOI: 10.1016/j.crad.2005.07.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  13 in total

1.  Facing the future: the effects of the impending financial drought on NHS finances and how UK radiology services can contribute to expected efficiency savings.

Authors:  L Grant; J Appleby; N Griffin; A Adam; P Gishen
Journal:  Br J Radiol       Date:  2011-12-13       Impact factor: 3.039

2.  Improving the utility of speech recognition through error detection.

Authors:  Kimberly Voll; Stella Atkins; Bruce Forster
Journal:  J Digit Imaging       Date:  2008-12       Impact factor: 4.056

3.  Improvement of report workflow and productivity using speech recognition--a follow-up study.

Authors:  Tomi Kauppinen; Mika P Koivikko; Juhani Ahovuo
Journal:  J Digit Imaging       Date:  2008-04-24       Impact factor: 4.056

4.  Immediate and sustained benefits of a "total" implementation of speech recognition reporting.

Authors:  J L Hart; A McBride; D Blunt; P Gishen; N Strickland
Journal:  Br J Radiol       Date:  2010-03-11       Impact factor: 3.039

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.  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 9.  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

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

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