ATC与RxNorm的映射 - - OHDSI标准化词汇库和UMLS元词汇库之间的比较
Rowdy de Groot1, Savannah Glaser1, Alexandra Kogan2
1Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, the Netherlands; Methodology, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
International journal of medical informatics
|January 3, 2025
概括
在OHDSI标准化词汇 (OSV) 提供更多的解剖治疗化学 (ATC) 的RxNorm映射比UMLS. 然而,UMLS在现实世界电子健康记录数据中表现更好,显示出更少的缺失映射.
科学领域:
- 药理学和药物信息学 药理学和药物信息学
- 医疗信息学 医疗信息学
- 医学术语 医学术语 医学术语
背景情况:
- 世界卫生组织的解剖治疗化学品 (ATC) 分类是药物数据的全球标准.
- 在临床决策支持系统中,ATC缺乏详细的成分信息,这对临床决策支持系统至关重要.
- 将ATC映射到RxNorm可以弥合这个信息差距.
研究的目的:
- 评估和比较从第五级ATC类到RxNorm成分概念的映射的完整性.
- 在OHDSI标准化词汇 (OSV) 和统一医疗语言系统 (UMLS) 中评估这些映射.
主要方法:
- 将ATC与OSV和UMLS存储库中的RxNorm映射进行比较,包括BioPortal和NLM.
- 量化了第五级ATC概念,RxNorm成分概念和缺失的映射.
- 应用映射到电子健康记录 (EHR) 数据样本.
主要成果:
- 国家医学图书馆 (NLM) 存储库包含了最多的ATC和RxNorm概念.
- 与OSV (916) 相比,UMLS的缺失映射 (1949) 显著更多.
- 在EHR数据中,UMLS的覆盖率更高 (96.5%) 与OSV (91%) 相比.
结论:
- 一般来说,OSV提供了一套更全面的ATC到RxNorm映射.
- 在实际应用中,UMLS可能会通过电子健康记录数据提供更好的性能.
- 在OSV和UMLS之间的选择取决于药物数据映射的特定应用要求.
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