| Extracting Rx information from clinical narrative. | |
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MedLine Citation:
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PMID: 20819859 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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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:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural |
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: 536-9 Citation Subset: IM |
Affiliation:
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US National Library of Medicine, National Institutes of Health, Bethesda, MD, USA. |
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* Patient Discharge Pharmaceutical Preparations* Software Design |
| 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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