Literature DB >> 10701598

Continuous speech recognition in MR imaging reporting: advantages, disadvantages, and impact.

M R Ramaswamy1, G Chaljub, O Esch, D D Fanning, E vanSonnenberg.   

Abstract

OBJECTIVE: Our objective was to describe our experience with a commercially available continuous speech recognition system, highlighting the advantages, disadvantages, and costs compared with those of conventional transcription for MR imaging reports.
MATERIALS AND METHODS: Data from 5072 reports generated in our MR imaging section during a 9-month period after the implementation of a commercial continuous speech recognition system were compared with 4552 reports produced during the same period 1 year earlier. Information pertaining to the use of continuous speech recognition, report turnaround time, word recognition rate, report appearance, and equipment costs was collected.
RESULTS: After its system installation, continuous speech recognition was used to dictate 81.8% of all reports. The mean report turnaround time decreased from 87.8 to 43.6 hr, and report availability at 24 hr increased from 10.5% to 62.5%. The system was found to have an average word recognition accuracy of 92.7% for spontaneous dictation. Mean report length declined from 95 to 60 words, with an increase in spacing errors from 0.3 to 8.0 per 1000 words and a decrease in spelling errors from 3.0 to 0.8 per 1000 words. Initial hardware and software costs were approximately $10,000, compared with a yearly cost of $12,000 for human transcription.
CONCLUSION: Although the technology is still evolving and was evaluated in its earliest implementation stages, continuous speech recognition nonetheless markedly improved report turnaround time and proved cost-effective.

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Mesh:

Year:  2000        PMID: 10701598     DOI: 10.2214/ajr.174.3.1740617

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  21 in total

1.  Creation of a software application for the clinical radiologist.

Authors:  S J Herman
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

2.  Combining speech recognition software with Digital Imaging and Communications in Medicine (DICOM) workstation software on a Microsoft Windows platform.

Authors:  R Ernst; W Carpenter; W Torres; S Wheeler
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

3.  Speech recognition interface to a hospital information system using a self-designed visual basic program: initial experience.

Authors:  Edward C Callaway; Clifford F Sweet; Eliot Siegel; John M Reiser; Douglas P Beall
Journal:  J Digit Imaging       Date:  2002-04-30       Impact factor: 4.056

4.  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 5.  Speech recognition implementation in radiology.

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

6.  Conceptual approach for the design of radiology reporting interfaces: the talking template.

Authors:  Chris L Sistrom
Journal:  J Digit Imaging       Date:  2005-09       Impact factor: 4.056

Review 7.  [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

8.  Analysis of the X-ray work flow in two diagnostic imaging departments with and without a RIS/PACS system.

Authors:  Caterina Mariani; Antonella Tronchi; Luigi Oncini; Osvaldo Pirani; Roberto Murri
Journal:  J Digit Imaging       Date:  2006       Impact factor: 4.056

9.  Voice recognition dictation: radiologist as transcriptionist.

Authors:  John A Pezzullo; Glenn A Tung; Jeffrey M Rogg; Lawrence M Davis; Jeffrey M Brody; William W Mayo-Smith
Journal:  J Digit Imaging       Date:  2008-12       Impact factor: 4.056

10.  Picture, archiving and communication system in the Italian NHS: a primer on diffusion and evaluation analysis.

Authors:  Luca Buccoliero; Stefano Calciolari; Marta Marsilio; Elisa Mattavelli
Journal:  J Digit Imaging       Date:  2008-02-22       Impact factor: 4.056

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