Pathak Jyotishman, Richesson Rachel L
Mayo Clinic, Rochester, MN;
AMIA Annu Symp Proc. 2010 Nov 13;2010:607-11.
Clinical and epidemiological researchers across all medical specialties need tools and knowledge representations to support the classification, aggregation, and analysis of medication data. The Veterans Affairs National Drug File Reference Terminology (NDF-RT) is a named standard for classifying medications. We describe our experience applying NDF-RT to aggregate RxNorm-encoded medications that were collected from an international cohort of over 8,000 children. We detail the researchers' analysis objectives and subsequent requirements for a drug classification representation, and assess the ability of NDF-RT to provide classes that are meaningful to pediatric researchers. In addition, we explore the completeness of RxNorm - NDF-RT mappings (i.e., the coverage of NDF-RT) for this sample of pediatric medications. We conclude that NDF-RT is sufficient to address the knowledge representation needs for this research study, though only a small subset of NDF-RT is needed for research analyses. Researchers from all domains would benefit from tools for easily extracting a set of relevant classes from the NDF-RT knowledge structure.
所有医学专业的临床和流行病学研究人员都需要工具和知识表示来支持药物数据的分类、汇总和分析。退伍军人事务部国家药品档案参考术语(NDF-RT)是一种药物分类的命名标准。我们描述了将NDF-RT应用于汇总从8000多名儿童的国际队列中收集的RxNorm编码药物的经验。我们详细说明了研究人员的分析目标以及对药物分类表示的后续要求,并评估了NDF-RT提供对儿科研究人员有意义的类别的能力。此外,我们探讨了该儿科药物样本的RxNorm - NDF-RT映射的完整性(即NDF-RT的覆盖范围)。我们得出结论,NDF-RT足以满足本研究的知识表示需求,尽管研究分析只需要NDF-RT的一小部分。来自所有领域的研究人员将受益于能够轻松从NDF-RT知识结构中提取一组相关类别的工具。