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引用本文:张菁,周峥,赵蕊.我院门诊药房智能发药系统持续优化[J].中国现代应用药学,2017,34(10):1485-1488.
ZHANG Jing,ZHOU Zheng,ZHAO Rui.Continuous Optimization of Intelligent Dispensing System in Outpatient Pharmacy of Our Hospital[J].Chin J Mod Appl Pharm(中国现代应用药学),2017,34(10):1485-1488.
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我院门诊药房智能发药系统持续优化
张菁1, 周峥2, 赵蕊1
1.浙江大学医学院附属邵逸夫医院药学部, 杭州 310016;2.浙江大学医学院附属邵逸夫医院下沙院区药学部, 杭州 310018
摘要:
目的 为了降低门诊药房调配差错率,探讨浙江大学医学院附属邵逸夫医院门诊智能药房发药系统质量优化措施。方法 利用回顾性研究方法,从药品调配数量错误、品种错误2个方面进行分析,提出相应的优化措施,并评价优化措施的效果。结果 优化后的智能发药系统差错发生概率中,数量错误由1.22‰下降到0.55‰,品种错误由0.33‰下降到0.22‰,改善前后有明显的统计学意义(P<0.05)。结论 门诊智能药房是国内医院药学发展新的趋势,最大化地发挥智能药房的优势,必将为临床安全用药和医院药事管理提供更有力的支持。
关键词:  门诊药房  智能发药系统  持续优化  差错率
DOI:10.13748/j.cnki.issn1007-7693.2017.10.029
分类号:
基金项目:
Continuous Optimization of Intelligent Dispensing System in Outpatient Pharmacy of Our Hospital
ZHANG Jing1, ZHOU Zheng2, ZHAO Rui1
1.Department of Pharmacy, Sir Run Run Shaw Hospital, Medicine College of Zhejiang University, Hangzhou 310016, China;2.Department of Pharmacy of Xiasha Campus, Sir Run Run Shaw Hospital, Medicine College of Zhejiang University, Hangzhou 310018, China
Abstract:
OBJECTIVE To reduce the rate of dispensing error, discuss the improvements of intelligent dispensing system in Sir Run Run Shaw hospital. METHODS By using retrospective study, the reasons for dispensing error in quantity and types were analyzed. Then corresponding improvements were put forward and evaluated. RESULTS The rate of dispensing error in quantity declined from 1.22‰ to 0.55‰ and dispensing error in types dropped from 0.33‰ to 0.22‰. And this result showed a statistically difference(P<0.05). CONCLUSION Intelligent outpatient pharmacy is a brand new trend of hospital pharmacy in China, thus it will be of realistic significance for clinical use of medication safety and drug affairs managements in hospital by taking full advantages of intelligent pharmacy.
Key words:  outpatient pharmacy  intelligent dispensing system  continuous optimization  error rate
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