Categorical information in pharmaceutical terminologies
Drug information sources use category labels to assist in navigating and organizing information. Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a &q...
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Veröffentlicht in: | AMIA ... Annual Symposium proceedings 2006, Vol.2006, p.116-120 |
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container_title | AMIA ... Annual Symposium proceedings |
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creator | Carter, John S Brown, Steven H Bauer, Brent A Elkin, Peter L Erlbaum, Mark S Froehling, David A Lincoln, Michael J Rosenbloom, S Trent Wahner-Roedler, Dietlind L Tuttle, Mark S |
description | Drug information sources use category labels to assist in navigating and organizing information. Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a "legacy" categorization system with a formal reference model specifying Chemical Structure, Cellular or Sub-Cellular Mechanism of Action, Organ- or System-Level Physiological Effect, and Therapeutic Intent categories. We examined drug category names from three sources to better understand their information content and evaluate NDF RT's semantic coverage. On average, category names contain more than 1.5 attributes. NDF RT's reference model covers more than 76% of the information identified in drug category labels. A new NDF RT reference axis of drug formulations could improve NDF RT's coverage to 85%. The distinction between Physiological Effect and Therapeutic Intent, prompted many questions among category reviewers, suggesting that further clarification of these reference concepts is required. Careful review of existing categorization schemes may guide structured terminology and ontology development efforts toward greater fidelity to deployed information sources. |
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Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a "legacy" categorization system with a formal reference model specifying Chemical Structure, Cellular or Sub-Cellular Mechanism of Action, Organ- or System-Level Physiological Effect, and Therapeutic Intent categories. We examined drug category names from three sources to better understand their information content and evaluate NDF RT's semantic coverage. On average, category names contain more than 1.5 attributes. NDF RT's reference model covers more than 76% of the information identified in drug category labels. A new NDF RT reference axis of drug formulations could improve NDF RT's coverage to 85%. 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Annual Symposium proceedings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carter, John S</au><au>Brown, Steven H</au><au>Bauer, Brent A</au><au>Elkin, Peter L</au><au>Erlbaum, Mark S</au><au>Froehling, David A</au><au>Lincoln, Michael J</au><au>Rosenbloom, S Trent</au><au>Wahner-Roedler, Dietlind L</au><au>Tuttle, Mark S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Categorical information in pharmaceutical terminologies</atitle><jtitle>AMIA ... Annual Symposium proceedings</jtitle><addtitle>AMIA Annu Symp Proc</addtitle><date>2006</date><risdate>2006</risdate><volume>2006</volume><spage>116</spage><epage>120</epage><pages>116-120</pages><eissn>1559-4076</eissn><abstract>Drug information sources use category labels to assist in navigating and organizing information. Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a "legacy" categorization system with a formal reference model specifying Chemical Structure, Cellular or Sub-Cellular Mechanism of Action, Organ- or System-Level Physiological Effect, and Therapeutic Intent categories. We examined drug category names from three sources to better understand their information content and evaluate NDF RT's semantic coverage. On average, category names contain more than 1.5 attributes. NDF RT's reference model covers more than 76% of the information identified in drug category labels. A new NDF RT reference axis of drug formulations could improve NDF RT's coverage to 85%. The distinction between Physiological Effect and Therapeutic Intent, prompted many questions among category reviewers, suggesting that further clarification of these reference concepts is required. Careful review of existing categorization schemes may guide structured terminology and ontology development efforts toward greater fidelity to deployed information sources.</abstract><cop>United States</cop><pub>American Medical Informatics Association</pub><pmid>17238314</pmid><tpages>5</tpages></addata></record> |
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language | eng |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Pharmaceutical Preparations - classification Pharmacy United States United States Department of Veterans Affairs Vocabulary, Controlled |
title | Categorical information in pharmaceutical terminologies |
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