Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts

Author:

Kawakami Yukinobu12,Matsuda Takuya1,Hidaka Noriaki2,Tanaka Mamoru2,Kimura Eizen1

Affiliation:

1. Department of Medical Informatics, Ehime University Graduate School of Medicine , Shitsukawa, Toon, Ehime, 791-0295, Japan

2. Division of Pharmacy, Ehime University Hospital , Shitsukawa, Toon, Ehime, 791-0295, Japan

Abstract

Abstract Objectives Linking information on Japanese pharmaceutical products to global knowledge bases (KBs) would enhance international collaborative research and yield valuable insights. However, public access to mappings of Japanese pharmaceutical products that use international controlled vocabularies remains limited. This study mapped YJ codes to RxNorm ingredient classes, providing new insights by comparing Japanese and international drug-drug interaction (DDI) information using a case study methodology. Materials and Methods Tables linking YJ codes to RxNorm concepts were created using the application programming interfaces of the Kyoto Encyclopedia of Genes and Genomes and the National Library of Medicine. A comparative analysis of Japanese and international DDI information was thus performed by linking to an international DDI KB. Results There was limited agreement between the Japanese and international DDI severity classifications. Cross-tabulation of Japanese and international DDIs by severity showed that 213 combinations classified as serious DDIs by an international KB were missing from the Japanese DDI information. Discussion It is desirable that efforts be undertaken to standardize international criteria for DDIs to ensure consistency in the classification of their severity. Conclusion The classification of DDI severity remains highly variable. It is imperative to augment the repository of critical DDI information, which would revalidate the utility of fostering collaborations with global KBs.

Publisher

Oxford University Press (OUP)

Reference26 articles.

1. Achieving standardized medication data in clinical research studies: two approaches and applications for implementing RxNorm;Richesson;J Med Syst,2010

2. Mapping partners master drug dictionary to RxNorm using an NLP-based approach;Zhou;J Biomed Inform,2012

3. Toward a normalized clinical drug knowledge base in China: applying the RxNorm model to Chinese clinical drugs;Wang;J Am Med Inform Assoc,2018

4. Comparative analysis and evaluation of state-of-the-art medication mapping tools to transform a local medication terminology to RxNorm;Davidson;AMIA Jt Summits Transl Sci Proc,2020

5. Trends in health information and communication standards in Japan;Kimura;J Natl Inst Public Health,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3