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作 者:李皓 邹锐元 李恺 赖镇强 LI Hao;ZOU Ruiyuan;LI Kai;LAI Zhenqiang(Meizhou People's Hospital,Meizhou,Guangdong,China 514000)
出 处:《中国药业》2025年第8期29-32,共4页China Pharmaceuticals
基 金:广东省梅州市医药卫生科研项目[2024-B-91]。
摘 要:目的探讨物流机器人在静脉用药调配中心(PIVAS)药品智能运输管理中的效果。方法2023年7月至9月以医院A栋13个科室为物流机器人药品智能运输管理试点科室,以采用人工运输的B栋14个科室为对照,对比物流机器人运输的效果,并于2024年3月至5月结合使用实际情况联同厂家对物流机器人进行升级,对比升级前后物流机器人使用效果。结果物流机器人的取货时间(22.00±2.54)s、送货时间(39.33±4.02)min、超时率(6.72±0.65)%、差错率0.08%,明显短于(或低于)人工配送的(785.00±72.13)s,(52.02±6.78)min,(11.13±1.29)%,2.97%(P<0.05)。优化后日均发送车次为(8.87±0.81)次、送货时间为(38.67±5.24)min,明显小于(或短于)优化前的(11.61±1.09)次和(39.33±4.02)min;超时率为(8.81±0.87)%、取货时间(31.00±3.98)s、次均配送量(7.89±0.76)组、货柜利用率为(28.42±2.53)组/车、医护人员总满意度为100.00%,明显高于(或长于)优化前的(6.72±0.65)%,(22.00±2.54)s,(5.91±0.62)组,(20.57±2.08)组/车,80.00%(P<0.05);优化前后物流机器人差错率无显著差异(0.08%比0,P>0.05)。结论物流机器人应用于PIVAS药品运输,能有效提高运输效率与安全性,提升医院智能管理水平。Objective To investigate the effect of logistics robot in the intelligent transportation management of drugs in Pharmacy Intravenous Admixture Services(PIVAS).Methods From July to September 2023,thirteen departments in building A of the hospital were selected as pilot departments for intelligent transportation management of logistics robots for drugs,with the fourteen departments in building B that used manual transportation as a control,the effectiveness of logistics robot transportation were compared.From March to May 2024,the logistics robot was upgraded in conjunction with the actual use of the manufacturer,and the performance of the logistics robot before and after the upgrade were compared.Results The logistics robot's pickup time was(22.00±2.54)s,delivery time was(39.33±4.02)min,overtime rate was(6.72±0.65)%,and error rate was 0.08%,which were all obviously shorter or lower than(785.00±72.13)s,(52.02±6.78)min,(11.13±1.29)%,2.97% of manual delivery(P<0.05).After optimization,the average daily number of vehicles sent was(8.87±0.81)times,delivery time was(38.67±5.24)min,which were lower or shorter than(11.61±1.09)times and(39.33±4.02)min before optimization;the overtime rate was(8.81±0.87)%,pickup time was(31.00±3.98)s,average delivery volume per shipment was(7.89±0.76)sets,container utilization rate was(28.42±2.53)sets per vehicle,and healthcare worker satisfaction was 100.00%,which were all higher or longer than those before optimization(P<0.05).There was no significant difference in error rate of logistic robot before and after optimization(P>0.05).Conclusion Logistics robots applied to drug transportation in PIVAS can effectively improve transportation efficiency and safety,and enhance the level of intelligent management.
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