Automatic prediction of trauma registry procedure codes from emergency room dictations

William R. Hersh, Todd K. Leen, P. Steve, Susan Malveau

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

10 Scopus citations

Abstract

Current natural language processing techniques for recognition of concepts in the electronic medical record have been insufficient to allow their broad use for coding information automatically. We have undertaken a preliminary investigation into the use of machine learning methods to recognize procedure codes from emergency room dictations for a trauma registry. Our preliminary results indicate moderate success, and we believe future enhancements with additional learning techniques and selected natural language processing approaches will be fruitful.

Original languageEnglish (US)
Title of host publicationMedInfo 1998 - 9th World Congress on Medical Informatics
PublisherIOS Press
Pages665-669
Number of pages5
ISBN (Print)9051994079, 9789051994070
DOIs
StatePublished - Jan 1 1998
Event9th World Congress on Medical Informatics, MedInfo 1998 - Seoul, Korea, Republic of
Duration: Aug 18 1998Aug 22 1998

Publication series

NameStudies in Health Technology and Informatics
Volume52
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other9th World Congress on Medical Informatics, MedInfo 1998
CountryKorea, Republic of
CitySeoul
Period8/18/988/22/98

Keywords

  • Coding
  • Machine Learning
  • Natural Language Processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Hersh, W. R., Leen, T. K., Steve, P., & Malveau, S. (1998). Automatic prediction of trauma registry procedure codes from emergency room dictations. In MedInfo 1998 - 9th World Congress on Medical Informatics (pp. 665-669). (Studies in Health Technology and Informatics; Vol. 52). IOS Press. https://doi.org/10.3233/978-1-60750-896-0-665