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Related Experiment Videos

Voice recognition for radiology reporting: is it good enough?

D S Rana1, G Hurst, L Shepstone

  • 1Department of Radiology, Norfolk and Norwich University Hospital, Norwich, UK. sameen.rana@nnuh.nhs.co.uk

Clinical Radiology
|October 15, 2005
PubMed
Summary

Voice recognition (VR) offers faster radiology report production than traditional dictation-transcription (DT). However, VR shows a tendency for more errors, particularly among less experienced users, though it is viable for experienced professionals.

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Area of Science:

  • Radiology
  • Medical Informatics
  • Health Services Research

Background:

  • Traditional tape dictation-transcription (DT) is a standard method for generating radiology reports.
  • Voice recognition (VR) technology offers a potential alternative for improving reporting efficiency.

Purpose of the Study:

  • To compare the efficiency and accuracy of radiology reports generated by voice recognition (VR) against the traditional tape dictation-transcription (DT) method.

Main Methods:

  • Two hundred and twenty computed radiography (CR) and cross-sectional imaging (CSI) examinations were reported using both VR and DT.
  • Reporting times and errors were compared using univariate analyses and a general linear model.

Main Results:

  • Voice recognition significantly reduced overall report production time for both CR and CSI.

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  • However, VR use was associated with a significant increase in total and major errors for CR, and total errors for CSI.
  • Less experienced users showed significantly more errors with VR, while experienced users did not.

    • Conclusions:

    • Voice recognition is a viable reporting method for experienced radiologists, offering quicker production times.
    • Inexperienced users may experience a higher error rate with VR, necessitating careful consideration of user experience.