Literature DB >> 10460395

Speech processing in radiology.

W Hundt1, O Stark, B Scharnberg, M Hold, P Kohz, A Lienemann, H Bonél, M Reiser.   

Abstract

The goal of this study was to evaluate the recognition rate, learning potential and amount of time needed to complete a report with the Philips speech recognition system SP 6000 (Philips, Best, The Netherlands). Four radiologists dictated reports of interventional radiology, MRI examinations of the musculoskeletal system and CT examinations of the thorax and abdomen with the Philips system using the German language. The recognition rate of each report and improvement rate after each learning phase of the Philips system was assessed. The time needed to complete a report using the Philips system was then compared with the time needed to complete a report using the tape-based system via a time analysis. The average recognition rate for the four radiologists using the Philips system was 79.6 %, which improved to 92.5 % after the third adaptation. Initially, the average time demand to dictate and correct one report was approximately 16.8 min, but this time decreased to 8.1 min after the third adaptation. In contrast, only 3. 6 min were needed to dictate and correct one report using the tape-based system. However, with the speech recognition system, dictation, correction and transcription of the report can be completed within 15 min, whereas with the tape-based system, it takes nearly 1 day. With the Philips system, speech recognition can reach as high as 95 % since each adaptation of the system improves the recognition rate by approximately 5 %. While the Philips system is associated with longer dictation times than the tape-based system, turn-around time for a complete report is substantially shorter with the Philips system than the tape-based system.

Entities:  

Mesh:

Year:  1999        PMID: 10460395     DOI: 10.1007/s003300050869

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  6 in total

1.  Experience with implementation of a radiology speech recognition system.

Authors:  J D Houston; F W Rupp
Journal:  J Digit Imaging       Date:  2000-08       Impact factor: 4.056

Review 2.  Speech recognition implementation in radiology.

Authors:  Keith S White
Journal:  Pediatr Radiol       Date:  2005-05-18

Review 3.  [Speech recognition: impact on workflow and report availability].

Authors:  C Glaser; C Trumm; S Nissen-Meyer; M Francke; B Küttner; M Reiser
Journal:  Radiologe       Date:  2005-08       Impact factor: 0.635

Review 4.  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 5.  The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.

Authors:  B Olisemeke; Y F Chen; K Hemming; A Girling
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

Review 6.  Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; David A Clunie; David J Vining; Seth J Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D Clark; Toby C Cornish; Monief Eid; Cree M Gaskin; Alexander K Goel; Genevieve C Jacobs; David Kwan; Damien M Luviano; Morgan P McBee; Kelly Miller; Abdul Moiz Hafiz; Ceferino Obcemea; Anil V Parwani; Veronica Rotemberg; Elliot L Silver; Erik S Storm; James E Tcheng; Karen S Thullner; Les R Folio
Journal:  J Digit Imaging       Date:  2021-06-15       Impact factor: 4.056

  6 in total

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