基于关联规则的智能药柜内药品储位设置研究  

Study on Drug Storage Position in Intelligent Drug Cabinet Based on Association Rules

作　　者：沈颖燕[1] 陈秀兰[1] 陈细兰[1] 陈聪[1] 焦韵婷 赖伟华[1] 熊志强[1] 李桃[1] SHEN Yingyan;CHEN Xiulan;CHEN Xilan;CHEN Cong;JIAO Yunting;LAI Weihua;XIONG Zhiqiang;LI Tao(Dept.of Pharmacy,Guangdong Provincial People＇s Hospital（Guangdong Academy of Medical Sciences）,Guangzhou 510080,China)

机构地区：[1]广东省人民医院(广东省医学科学院)药学部,广州510080

出　　处：《中国药房》2018年第23期3285-3288,共4页China Pharmacy

基　　金：广东省医学科学技术研究基金项目(No.B2018060)

摘　　要：目的:优化智能药柜内药品储位,提高药师调剂药品的工作效率。方法:调取我院门诊药房智能化药房CONSIS系统2017年6月的44 916张处方,运用Excel中的关联规则挖掘工具,使用Apriori算法计算人工发药频次高的48种药品的支持度、置信度,统计2种药品出现在同一处方中的频次。根据关联规则结果,将有关联的药品摆放在智能药柜内相邻或相近的抽屉以缩短药师取药时间。比较智能药柜内药品储位调整前后实时窗口患者平均候药时间,以评价调整效果。结果:根据关联规则计算所得支持度和置信度结果,将出现在同一处方中频次较高的药品优先放置在相邻的智能药柜内,最终共调整了智能药柜内30个药品的放置位置。药品储位调整前(2017年6月)、后(2017年11月)患者平均候药时间分别为7.20、5.77 min(统计的处方分别为15 465、16 108张),两者比较差异具有统计学意义(P<0.05)。结论:运用关联规则可定量测量药品间的相关联系以优化智能药柜内药品储位,从而提高药师工作效率,缩短患者的候药时间。OBJECTIVE：To optimize the drug storage position of intelligent drug cabinet,and to improve work efficiency of drug dispensing of pharmacist. METHODS：44 916 prescriptions were collected from intelligent pharmacy CONSIS system in outpatient pharmacy of our hospital in Jun. 2017. Using association rule mining tools in Excel,Apriori algorithms was used to calculate the support and confidence of 48 drugs with high frequency of artificial drug dispensing. The frequency of 2 kinds of drug in same prescription was analyzed statistically. According to the results of association rule,the associated drugs were placed in the adjacent or nearby drawer of the intelligent drug cabinet to shorten the time for the pharmacist to take drug. The average waiting time of patients in pharmacy window were compared before and after adjusting the storage of drugs in intelligent drug cabinet so as to evaluate the effects of adjustment. RESULTS：According to the support and confidence of association rules,the drugs with high frequency in the same prescription would be placed in the adjacent intelligent drug cabinet. Finally,the position of 30 kinds of drugs had been adjusted. The average waiting time of patients were 7.20 and 5.77 min（15 465 and 16 108 prescriptions）before （Jun. 2017） and after （Nov. 2017） the adjustment of drug storage position; there was statistical significance（P〈0.05）. CONCLUSIONS：Association rules can be used to measure drug correlation quantitatively to optimize drug storage position of intelligent drug cabinet,so as to improve work efficiency of pharmacy and shorten waiting time of patients.

关 键 词：智能化药房 关联规则 智能药柜 药品储位 优化 

分 类 号：R95[医药卫生—药学]