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引用本文:陈成群,任清华,王松,裴健颖,张书伟,张祥,齐跃东,杜书章,张晓坚.数字化药房建设与智慧调剂系统的应用与实践[J].中国现代应用药学,2022,39(21):2770-2774.
CHEN Chengqun,REN Qinghua,WANG Song,PEI Jianying,ZHANG Shuwei,ZHANG Xiang,QI Yuedong,DU Shuzhang,ZHANG Xiaojian.Application and Practice of Digital Pharmacy Construction and Intelligent Dispensing System[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(21):2770-2774.
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数字化药房建设与智慧调剂系统的应用与实践
陈成群, 任清华, 王松, 裴健颖, 张书伟, 张祥, 齐跃东, 杜书章, 张晓坚
郑州大学第一附属医院药学部, 郑州 450052
摘要:
目的 利用药房数字化建设和智慧调剂系统的应用与实践,通过成本核算、药师管理、绩效管理工作量考核等评估数字化药房建设的效益,为住院药房智慧调剂提供解决方案。方法 药师与信息软件工程师的共同创新药房智慧调剂系统软件,以三甲医院1个住院药房(规划床位1 000张)产生的真实数据为研究对象,统计药师调剂工作量、交班和退药、发药次数,并进行成本核算和效益分析。结果 智慧药房调剂系统的应用能够降低住院药房调剂过程的打印纸费用约2.82 万元·年-1。调剂岗位工作中通过取药条目数计算,摆药单打印时间可以节约3.4 h·d-1。节省药师退药工作(1 012±287)条·d-1,通过统计计算退药岗位的时间消耗可节约4.3 h·d-1。调剂岗位打印摆药单和退药工作时间可节约7.7 h,加上节约交接班和差错记录的工作时间,每天1个药房可以节约1个调剂岗位的工作时间。结论 智慧调剂系统的应用与实践表明,能够降低调剂经济成本与时间成本消耗,提升管理品质,快速统计药师工作量,提升药房调剂工作效率。
关键词:  数字化药房  智慧调剂系统  工作量统计  真实世界数据
DOI:10.13748/j.cnki.issn1007-7693.2022.21.010
分类号:R952
基金项目:河南省科技攻关计划(182102310081);国家重点研发计划“主动健康和老龄化应对”重点专项(2020YFC2005500)
Application and Practice of Digital Pharmacy Construction and Intelligent Dispensing System
CHEN Chengqun, REN Qinghua, WANG Song, PEI Jianying, ZHANG Shuwei, ZHANG Xiang, QI Yuedong, DU Shuzhang, ZHANG Xiaojian
Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
Abstract:
OBJECTIVE To use the digital construction of inpatient pharmacy dispensing and the application and practice of intelligent dispensing, and verify the benefits of digital pharmacy construction through cost accounting, pharmacist dispensing management, performance management, workload assessment, etc. To provide solutions for intelligent drug dispensing in hospital pharmacies. METHODS The pharmacy intelligent dispensing system software was jointly innovated by pharmacists and information software engineers. Taking the real data generated from an inpatient pharmacy in a tertiary hospital(1 000 planned beds) as the research object, the workload of pharmacists’ dispensing, the statistics of shift and drug return, the statistics of drug dispensing times, and the cost accounting and benefit analysis were conducted. RESULTS The application of the intelligent pharmacy dispensing system could reduce the printing paper cost of the inpatient pharmacy dispensing process by about 28.2 thousand yuan per year. In the dispensing post, the printing time of dispensing single sheet could be saved by 3.4 h·d-1 by calculating the number of items of taking medicine. (1 012±287)items·d-1 could be saved, and 4.3 h·d-1 could be saved in the time consumption of drug return. The working time of printing and returning drugs in the dispensing post could save 7.7 h. In addition, the working time of shift handover and error record could be saved, and one pharmacy could save one working time of dispensing post every day. CONCLUSION The application and practice of the intelligent pharmacy dispensing system show that it can reduce the economic cost and time cost consumption of dispensing, improve the management quality, quickly count the workload of pharmacists, and improve the work efficiency of pharmacy dispensing.
Key words:  data pharmacy  intelligent regulation system  workload statistics  real world data
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