信息药师基于相似度算法的门诊药房药品差错防范体系建设及其应用

Construction and application of drug error prevention system in outpatient pharmacy based on similarity algorithm for information pharmacists

目的:建立基于相似度算法的药品差错防范管理体系,为门诊药房药品全流程管理提供技术方法及参考。方法:采用相似度算法检测看似听似药品的文本和图片相似度,建立相似药品数据库,结合根因分析法所得看似听似药品差错的根本原因,构建门诊药房全流程药品差错防范体系并初步应用。结果:共检测了1191种药品的708645对相似度,构建了包括145种听似药品和87种看似药品的相似药品数据库。基于相似药品数据库和根因分析结果的关键环节因素,构建了全流程的药品差错防范体系,包括处方开具、调剂小票打印、标签货位和发药核对模块等4个核心部分。初步应用结果显示,在该体系实施后药品差错数据显著下降(P<0.05)。结论:该研究成功建立了基于相似度算法的药品差错防范体系,为计算机相似度算法理论在医院药学相关领域的拓展研究与实践提供参考依据,同时也为信息药师在融合计算机专业理论的医院药品管理体系建设中的作用提供了新的思路。

OBJECTIVE To establish a medication error prevention system based on similarity algorithms and providing technical references for a comprehensive management of drugs at outpatient pharmacies.METHODS Similarity algorithms were utilized for detecting text and image similarities of seemingly similar drugs and establishing a database of similar drugs.Root cause analysis was conducted for examining the fundamental causes of errors in seemingly similar drugs,ultimately constructing a comprehensive medication error prevention system for outpatient pharmacy drug management.RESULTS A total of 708645 pairs of similarities were successfully detected among 1191 types of drugs,A database of similar drugs was constructed with 145 types of sound-alike drugs and 87 types of look-alike drugs.Based upon the database of similar drugs and key factors identified through root cause analysis,an error prevention system was constructed with four core modules of prescription,dispensing ticket printing,label&location and drug dispensing verification.Preliminary application results showed a significant decrease in medication error data after implementation(P<0.05).CONCLUSION This study has successfully established a medication error prevention system based upon similarity algorithms,providing a solid foundation for researches and practical applications of computer similarity algorithms in the field of hospital pharmacy.It also offers new insights into the role of informatic pharmacists integrating computational theories into hospital drug management systems.