Document Detail

Automating SNOMED coding using medical language understanding: a feasibility study.
MedLine Citation:
PMID:  11825222     Owner:  NLM     Status:  MEDLINE    
This paper evaluates qualitatively the use of the MedLEE natural language processing system to code medical narratives directly into the SNOMED nomenclature, while retaining the MedLEE information model data structure. A gold standard is produced from narrative text manually coded in SNOMED. An automated parsing and SNOMED-coding of the narrative text is then automatically generated by MedLEE. By comparing MedLEE s output to that of the Gold Standard, the capacities of SNOMED and MedLEE to represent the clinical information are subsequently evaluated leading to qualitative observations on their respective strengths and constraints. In this study, MedLEE did code to SNOMED and captures the codes in a sub-structure amenable to interoperability with the description logic of SNOMED RT, showing an approach that augments and formalizes SNOMED s compositional representation methods to accurately capture information from clinical narratives.
Y A Lussier; L Shagina; C Friedman
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Proceedings / AMIA ... Annual Symposium. AMIA Symposium     Volume:  -     ISSN:  1531-605X     ISO Abbreviation:  Proc AMIA Symp     Publication Date:  2001  
Date Detail:
Created Date:  2002-02-04     Completed Date:  2002-05-24     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  100883449     Medline TA:  Proc AMIA Symp     Country:  United States    
Other Details:
Languages:  eng     Pagination:  418-22     Citation Subset:  IM    
Department of medical Informatics, Columbia University, New York, NY, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Feasibility Studies
Medical Records / classification*
Natural Language Processing*
Terminology as Topic
Vocabulary, Controlled*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  The natural history of the use of healthcare information by women with breast cancer: a conceptual m...
Next Document:  Re-identification of DNA through an automated linkage process.