Automatic prediction of trauma registry procedure codes from emergency room dictations

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

doi:10.3233/978-1-60750-896-0-665

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 proceeding › Conference contribution

11 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 language	English (US)
Title of host publication	MedInfo 1998 - 9th World Congress on Medical Informatics
Publisher	IOS Press
Pages	665-669
Number of pages	5
ISBN (Print)	9051994079, 9789051994070
DOIs	https://doi.org/10.3233/978-1-60750-896-0-665
State	Published - 1998
Event	9th World Congress on Medical Informatics, MedInfo 1998 - Seoul, Korea, Republic of Duration: Aug 18 1998 → Aug 22 1998

Publication series

Name	Studies in Health Technology and Informatics
Volume	52
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	9th World Congress on Medical Informatics, MedInfo 1998
Country/Territory	Korea, Republic of
City	Seoul
Period	8/18/98 → 8/22/98

Keywords

Coding
Machine Learning
Natural Language Processing

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-60750-896-0-665

Cite this

Automatic prediction of trauma registry procedure codes from emergency room dictations. / Hersh, William R.; Leen, Todd K.; Steve, P. et al.
MedInfo 1998 - 9th World Congress on Medical Informatics. IOS Press, 1998. p. 665-669 (Studies in Health Technology and Informatics; Vol. 52).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hersh, WR, Leen, TK, 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. Studies in Health Technology and Informatics, vol. 52, IOS Press, pp. 665-669, 9th World Congress on Medical Informatics, MedInfo 1998, Seoul, Korea, Republic of, 8/18/98. https://doi.org/10.3233/978-1-60750-896-0-665

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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.",

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AU - Steve, P.

AU - Malveau, Susan

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AB - 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.

KW - Coding

KW - Machine Learning

KW - Natural Language Processing

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ER -

Automatic prediction of trauma registry procedure codes from emergency room dictations

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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