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Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Dictation Error Rate?
Femi-Abodunde, Abiola; Olinger, Kristen; Burke, Lauren M B; Benefield, Thad; Lee, Ellie R; McGinty, Katrina; Mervak, Benjamin M.
Afiliação
  • Femi-Abodunde A; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Olinger K; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Burke LMB; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Benefield T; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Lee ER; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • McGinty K; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Mervak BM; Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA. bmervak@med.unc.edu.
J Digit Imaging ; 34(5): 1294-1301, 2021 10.
Article em En | MEDLINE | ID: mdl-34561781
ABSTRACT
Our aim was to determine the effect of wearing a surgical mask on the number and type of dictation errors in unedited radiology reports. IRB review was waived for this prospective matched-pairs study in which no patient data was used. Model radiology reports (n = 40) simulated those typical for an academic medical center. Six randomized radiologists dictated using speech-recognition software with and without a surgical mask. Dictations were compared to model reports and errors were classified according to type and severity. A statistical model was used to demonstrate that error rates for all types of errors were greater when masks are worn compared to when they are not (unmasked 21.7 ± 4.9 errors per 1000 words, masked 27.1 ± 2.2 errors per 1000 words; adjusted p < 0.0001). A sensitivity analysis was performed, excluding a reader with a large number of errors. The sensitivity analysis found a similar difference in error rates for all types of errors, although significance was attenuated (unmasked 16.9 ± 1.9 errors per 1000 words, masked 20.1 ± 2.2 errors per 1000 words; adjusted p = 0.054). We conclude that wearing a mask results in a near-significant increase in the rate of dictation errors in unedited radiology reports created with speech-recognition, although this difference may be accentuated in some groups of radiologists. Additionally, we find that most errors are minor single incorrect words and are unlikely to result in a medically relevant misunderstanding.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Sistemas de Informação em Radiologia / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Sistemas de Informação em Radiologia / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article