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Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.

Publication ,  Journal Article
Travers, DA; Haas, SW
Published in: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
November 2004

Emergency Medical Text Processor (EMT-P) version 1, a natural language processing system that cleans emergency department text (e.g., chst pn, chest pai), was developed to maximize extraction of standard terms (e.g., chest pain). The authors compared the number of standard terms extracted from raw chief complaint (CC) data with that for CC data cleaned with EMT-P and evaluated the accuracy of EMT-P.This cross-sectional observation study included CC text entries for all emergency department visits to three tertiary care centers in 2001. Terms were extracted from CC entries before and after cleaning with EMT-P. Descriptive statistics included number and percentage of all entries (tokens) and all unique entries (types) that matched a standard term from the Unified Medical Language System (UMLS). An expert panel rated the accuracy of the CC-UMLS term matches; inter-rater reliability was measured with kappa.The authors collected 203,509 CC entry tokens, of which 63,946 were unique entry types. For the raw data, 89,337 tokens (44%) and 5,081 types (8%) matched a standard term. After EMT-P cleaning, 168,050 tokens (83%) and 44,430 types (69%) matched a standard term. The expert panel reached consensus on 201 of the 222 CC-UMLS term matches reviewed (kappa=0.69-0.72). Ninety-six percent of the 201 matches were rated equivalent or related. Thirty-eight percent of the nonmatches were found to match UMLS concepts.EMT-P version 1 is relatively accurate, and cleaning with EMT-P improved the CC-UMLS term match rate over raw data. The authors identified areas for improvement in future EMT-P versions and issues to be resolved in developing a standard CC terminology.

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Published In

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

DOI

EISSN

1553-2712

ISSN

1069-6563

Publication Date

November 2004

Volume

11

Issue

11

Start / End Page

1170 / 1176

Related Subject Headings

  • Unified Medical Language System
  • Terminology as Topic
  • Systems Analysis
  • Sensitivity and Specificity
  • North Carolina
  • Medical Records Systems, Computerized
  • Male
  • Humans
  • Female
  • Emergency Service, Hospital
 

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ICMJE
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Travers, D. A., & Haas, S. W. (2004). Evaluation of emergency medical text processor, a system for cleaning chief complaint text data. Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine, 11(11), 1170–1176. https://doi.org/10.1197/j.aem.2004.08.012
Travers, Debbie A., and Stephanie W. Haas. “Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine 11, no. 11 (November 2004): 1170–76. https://doi.org/10.1197/j.aem.2004.08.012.
Travers DA, Haas SW. Evaluation of emergency medical text processor, a system for cleaning chief complaint text data. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2004 Nov;11(11):1170–6.
Travers, Debbie A., and Stephanie W. Haas. “Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine, vol. 11, no. 11, Nov. 2004, pp. 1170–76. Epmc, doi:10.1197/j.aem.2004.08.012.
Travers DA, Haas SW. Evaluation of emergency medical text processor, a system for cleaning chief complaint text data. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2004 Nov;11(11):1170–1176.
Journal cover image

Published In

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

DOI

EISSN

1553-2712

ISSN

1069-6563

Publication Date

November 2004

Volume

11

Issue

11

Start / End Page

1170 / 1176

Related Subject Headings

  • Unified Medical Language System
  • Terminology as Topic
  • Systems Analysis
  • Sensitivity and Specificity
  • North Carolina
  • Medical Records Systems, Computerized
  • Male
  • Humans
  • Female
  • Emergency Service, Hospital