首页|根因分析法用于自动包药机管理效果分析

根因分析法用于自动包药机管理效果分析

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目的 提升自动包药机的工作性能和药品管理水平。方法 采用根因分析(RCA)法分析住院药房自动包药机运行中存在问题发生的近端原因与根本原因,并制订相应改进措施。比较7个病区RCA法实施前(2023年3月至5月)和实施后(2023年6月至8月)自动包药机的日均分包数量、日均调剂时间、日均溢袋数量、月均分包差错、包药机内药品月均滞销品种数及其占比、月均患者满意度。结果 RCA法实施后,自动包药机的日均溢袋数量、月均分包差错、药品月均滞销品种数、月均滞销品种数占比分别为0包、(3。48±0。94)例、(6。67±1。16)种、(1。14±0。20)%,分别显著低于实施前的(5。20±1。82)包、(7。86±2。29)例、(16。00±1。00)种、(2。73±0。17)%(P<0。05)。结论 RCA法用于住院药房自动包药机管理,可提升药品分包的质量与效率,提升住院药房的管理水平。
Application Effect of Root Cause Analysis Method in the Management of Automated Tablet Dispensing & Packaging System
Objective To improve the working performance and drug management level of automated tablet dispensing & packaging system(ATDPS).Methods Root cause analysis(RCA)was used to analyze the proximal and root causes of problems in the operation of the ATDPS in the inpatient pharmacy,and corresponding improvement measures were formulated.The daily average number of sub-packages,daily dispensing time,daily bag overflow,monthly average package errors,monthly average number and proportion of unsalable drugs in the ATDPS,and monthly average patients'satisfaction in seven wards before(from March to May 2023)and after(from June to August 2023)the implementation of RCA method were compared.Results After the implementation of RCA method,the daily average number of overflowing bags,the monthly average packaging errors,the monthly average number of unsalable drugs,and the monthly average proportion of unsalable drugs in the ATDPS were 0 bags,(3.48±0.94)cases,(6.67±1.16)cases,and(1.14±0.20)%,which were significantly lower than(5.20±1.82)bags,(7.86±2.29)cases,(16.00±1.00)cases,and(2.73±0.17)%before the implementation(P<0.05).Conclusion Application of the RCA method in the management of ATDPS in the inpatient pharmacy can improve the quality and efficiency of sub-packaged drugs,and enhance the management level of inpatient pharmacy.

root cause analysis methodATDPSinpatient pharmacyunsalable drugsquality management

李淑佩、王小敏、谭喜莹、陈敏

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南京中医药大学附属医院,江苏 南京 210029

根因分析法 自动包药机 住院药房 滞销药品 质量管理

江苏省药学会2020年度恒瑞医院药学基金项目

H202021

2024

中国药业
重庆市食品药品监督管理局

中国药业

CSTPCD
影响因子:1.369
ISSN:1006-4931
年,卷(期):2024.33(19)