| Extracting medical information from narrative patient records: the case of medication-related information. | |
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MedLine Citation:
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PMID: 20819863 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: While essential for patient care, information related to medication is often written as free text in clinical records and, therefore, difficult to use in computerized systems. This paper describes an approach to automatically extract medication information from clinical records, which was developed to participate in the i2b2 2009 challenge, as well as different strategies to improve the extraction. DESIGN: Our approach relies on a semantic lexicon and extraction rules as a two-phase strategy: first, drug names are recognized and, then, the context of these names is explored to extract drug-related information (mode, dosage, etc) according to rules capturing the document structure and the syntax of each kind of information. Different configurations are tested to improve this baseline system along several dimensions, particularly drug name recognition-this step being a determining factor to extract drug-related information. Changes were tested at the level of the lexicons and of the extraction rules. RESULTS: The initial system participating in i2b2 achieved good results (global F-measure of 77%). Further testing of different configurations substantially improved the system (global F-measure of 81%), performing well for all types of information (eg, 84% for drug names and 88% for modes), except for durations and reasons, which remain problematic. CONCLUSION: This study demonstrates that a simple rule-based system can achieve good performance on the medication extraction task. We also showed that controlled modifications (lexicon filtering and rule refinement) were the improvements that best raised the performance. |
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Authors:
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Louise Deléger; Cyril Grouin; Pierre Zweigenbaum |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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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:
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Created Date: 2010-09-07 Completed Date: 2010-11-15 Revised Date: 2011-09-13 |
Medline Journal Info:
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Nlm Unique ID: 9430800 Medline TA: J Am Med Inform Assoc Country: United States |
Other Details:
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Languages: eng Pagination: 555-8 Citation Subset: IM |
Affiliation:
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LIMSI-CNRS, France. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Electronic Health Records* Humans Information Storage and Retrieval / methods* Natural Language Processing* Pharmaceutical Preparations* Semantics |
| Grant Support | |
ID/Acronym/Agency:
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U54LM008748/LM/NLM NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Pharmaceutical Preparations |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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