Interoperability of Medication Classification Systems:Lessons Learned Mapping Established Pharmacologic Classes(EPCs)to SNOMED CT

摘要：

　　Interoperability among medication classification systems is known to be limited.We investigated the mapping of the Established Pharmacologic Classes(EPCs)to SNOMED CT.We compared lexical and instance-based methods to an expert-reviewed reference standard to evaluate contributions of these methods.Of the 543 EPCs,284 had an equivalent SNOMED CT class,205 were more specific,and 54 could not be mapped.Precision,recall,and F1 score were 0.416,0.620,and 0.498 for lexical mapping and 0.616,0.504,and 0.554 for instance-based mapping.Each automatic method has strengths,weaknesses,and unique contributions in mapping between medication classification systems.In our experience,it was beneficial to consider the mapping provided by both automated methods for identifying potential matches,gaps,inconsistencies,and opportunities for quality improvement between classifications.However,manual review by subject matter experts is still needed to select the most relevant mappings.

关键词： Topical Pharmaceutical Databases

作者: Scott D Nelson Jaqui Parker Robert Lario Rainer Winnenburg Mark S.Erlbaum Michael J.Lincoln Olivier Bodenreider

作者单位: Department of Biomedical Informatics,Vanderbilt University Medical Center,Nashville,TN,USA Apelon Inc,Harford,CT,USA Department of Biomedical Informatics,University of Utah,Salt Lake City,UT,USA Stanford Center for Biomedical Informatics Research,Stanford,CA,USA Stanford Center for Biomedical Informatics Research,Stanford,CA,USA;US Department of Veterans Affair National Library of Medicine,Bethesda,MD,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 920-924

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）