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ABC-CVA分类法在住院药房药品布局优化中的应用OA

Application of ABC-CVA classification in drug layout optimization of an inpatient pharmacy

中文摘要英文摘要

目的 优化药品摆放布局,减少药师调配时间,提升住院药房工作效率.方法 构建ABC-CVA分类法:采用ABC分类法,优先根据药品使用频率将药品划分为A(高频)、B(中频)、C(低频)三类,再结合CVA分类法(关键价值分析法)对使用频率不高(主要是C类)但是需要急用(如急救药品)以及占用空间大的药品进一步分类整理.结果 基于该方法优化药品摆放布局后,三大病区(内科、外科、重症监护)长期医嘱的调配用时,各病区平均每日调配用时缩短(14.7±4.9)min,各病区优化后的平均每日调配用时均显著低于优化前,差异均具有统计学意义(P<0.001).结论 建立的ABC-CVA分类法能够精准帮助优化住院药房药品布局,显著提升药师调配效率,提高住院药房服务质量.

OBJECTIVE To optimize the drug placement layout,reduce pharmacists'dispensing time,and improve the work efficiency of the inpatient pharmacy.METHODS An ABC-CVA classification method was constructed.The ABC classification was first employed to categorize drugs into three groups[A(high frequency),B(medium frequency),and C(low frequency)]based on drug usage frequency.Subsequently,the CVA(Critical Value Analysis)method was applied to further classify drugs with low frequency(mainly category C)but requiring urgent use(e.g.,emergency drugs)or occupying large space.RESULTS After optimizing the drug placement layout based on this method,the average daily dispensing time for long-term prescriptions across three major wards(internal medicine,surgery,and intensive care unit)was shortened by(14.7±4.9)min.The optimized average daily dispensing time in each ward was significantly lower than that before optimization,and all differences were statistically significant(P<0.001).CONCLUSIONS The established ABC-CVA classification method can precisely facilitate the optimization of drug layout in inpatient pharmacies,significantly improve pharmacists'dispensing efficiency,and enhance the service quality of inpatient pharmacies.

潘一喆;杨学斌;王建建;闫旭;冀召帅

清华大学附属北京清华长庚医院药剂科,北京 102218清华大学附属北京清华长庚医院药剂科,北京 102218清华大学附属北京清华长庚医院药剂科,北京 102218清华大学附属北京清华长庚医院药剂科,北京 102218清华大学附属北京清华长庚医院药剂科,北京 102218

医药卫生

住院药房ABC-CVA分类法药品布局精细化管理

inpatient pharmacyABC-CVA classification methoddrug layoutrefined management

《中国药房》 2026 (12)

1638-1640,3

北京清华长庚医院院内自主科研项目(No.32025-C01001)

10.6039/j.issn.1001-0408.2026.12.20

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