Syntactic and Semantic Errors in Radiology Reports Associated with Speech Recognition Software

Michael D. Ringler, Brian C. Goss, Brian Jack Bartholmai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Speech recognition software (SRS) has many benefits, but also increases the frequency of errors in radiology reports, which could impact patient care. As part of a quality control project, 13 trained medical transcriptionists proofread 213,977 SRS-generated signed reports from 147 different radiologists over a 40 month time interval. Errors were classified as 'material' if they were believed to alter interpretation of the report. 'Immaterial' errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods using.2 analysis and multiple logistic regression, as appropriate. 20,759 (9.7%) reports contained errors; 3,992 (1.9%) contained material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors (P

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages922
Number of pages1
Volume216
ISBN (Print)9781614995630
DOIs
StatePublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • PowerScribe
  • quality control
  • radiology report
  • report errors
  • speech recognition

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Ringler, M. D., Goss, B. C., & Bartholmai, B. J. (2015). Syntactic and Semantic Errors in Radiology Reports Associated with Speech Recognition Software. In Studies in Health Technology and Informatics (Vol. 216, pp. 922). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-922