Document Detail


Extracting Rx information from clinical narrative.
MedLine Citation:
PMID:  20819859     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of annotated clinical notes, and start developing methods for ontology-based reasoning using structured information generated from the unstructured clinical narrative.
DESIGN: Extraction of salient features of medication orders from the text of de-identified hospital discharge summaries was addressed with a knowledge-based approach using simple rules and lookup lists. The entity recognition tool, MetaMap, was combined with dose, frequency, and duration modules specifically developed for the Challenge as well as a prototype module for reason identification.
MEASUREMENTS: Evaluation metrics and corresponding results were provided by the Challenge organizers.
RESULTS: The results indicate that robust rule-based tools achieve satisfactory results in extraction of simple elements of medication orders, but more sophisticated methods are needed for identification of reasons for the orders and durations.
LIMITATIONS: Owing to the time constraints and nature of the Challenge, some obvious follow-on analysis has not been completed yet.
CONCLUSIONS: The authors plan to integrate the new modules with MetaMap to enhance its accuracy. This integration effort will provide guidance in retargeting existing tools for better processing of clinical text.
Authors:
James G Mork; Olivier Bodenreider; Dina Demner-Fushman; Rezarta Islamaj Dogan; François-Michel Lang; Zhiyong Lu; Aurélie Névéol; Lee Peters; Sonya E Shooshan; Alan R Aronson
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural    
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  17     ISSN:  1527-974X     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2010 Sep-Oct
Date Detail:
Created Date:  2010-09-07     Completed Date:  2010-11-15     Revised Date:  2011-09-13    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  536-9     Citation Subset:  IM    
Affiliation:
US National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
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MeSH Terms
Descriptor/Qualifier:
Electronic Health Records*
Humans
Information Storage and Retrieval / methods*
Natural Language Processing*
Patient Discharge
Pharmaceutical Preparations*
Software Design
Grant Support
ID/Acronym/Agency:
U54LM008748/LM/NLM NIH HHS
Chemical
Reg. No./Substance:
0/Pharmaceutical Preparations
Comments/Corrections

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


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