Querying the national drug file reference terminology (NDFRT) to assign drugs to decision support categories

Linas Simonaitis, Gunther Schadow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Introduction: The accurate categorization of drugs is a prerequisite for decision support rules. The manual process of creating drug classes can be laborious and error-prone. Methods: All 142 drug classes currently used at Regenstrief Institute for drug interaction alerts were extracted. These drug classes were replicated as fully-defined concepts in our local instance of the NDFRT knowledge base. The performance of these two strategies (manual classification vs. NDFRT-based queries) was compared, and the sensitivity and specificity of each was calculated. Results: Compared to existing manual classifications, NDFRT-based queries made a greater number of correct class-drug assignments: 1528 vs. 1266. NDFRT queries have greater sensitivity (74.9% vs. 62.1%) to classify drugs. However, they have less specificity (85.6% vs. 99.8%). Conclusion: The NDFRT knowledge base shows promise for use in an automated strategy to improve the creation and update of drug classes. The chief disadvantage of our NDFRT-based approach was a greater number of false positive assignments due to the inclusion of non-systemic doseforms.

Original languageEnglish (US)
Title of host publicationMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PublisherIOS Press
Pages1095-1099
Number of pages5
EditionPART 1
ISBN (Print)9781607505877
DOIs
StatePublished - Jan 1 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: Sep 12 2010Sep 15 2010

Publication series

NameStudies in Health Technology and Informatics
NumberPART 1
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th World Congress on Medical and Health Informatics, Medinfo 2010
CountrySouth Africa
CityCape Town
Period9/12/109/15/10

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Keywords

  • Computer-assisted drug therapy
  • Drug classification
  • Knowledge bases
  • National Drug File Reference Terminology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Simonaitis, L., & Schadow, G. (2010). Querying the national drug file reference terminology (NDFRT) to assign drugs to decision support categories. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics (PART 1 ed., pp. 1095-1099). (Studies in Health Technology and Informatics; Vol. 160, No. PART 1). IOS Press. https://doi.org/10.3233/978-1-60750-588-4-1095