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医院集采任务与药品储备智能化管理探索OA

Exploration of Intelligent Management for Hospital Centralized Procurement Tasks and Drug Reserve

中文摘要英文摘要

目的 进一步加强医院集中带量采购(简称"集采")药品的智能化管理水平.方法 基于前期初探集采药品智能化监测系统经验,运用Power BI软件提供的桑基图、甘特图等数据可视化工具,扩展集采药品批次及目录管理功能,联合Python语言及其图形用户界面(GUI库)设计程序界面,创建集采任务项目管理窗口.结果与结论 通过系统管理可快速调取所需报量药品目录,前瞻性地关注相关品种的集采信息及供应情况,为药品储备方案提供规范化、信息化支持,保障患者用药的同时,减少非中选药品库存堆积,也可为后续其他批次的集采报量工作提供参考.功能进一步完善后的集采药品智能监控系统,可更好地支持医疗机构适应提质扩面背景下集采药品的新需求.

Objective To further enhance the intelligent management level of centralized drug volume-based procurement policy(hereinafter referred to as centralized procurement)drugs in hospitals.Methods Based on preliminary experience of exploring the intelligent monitoring system for centralized procurement drugs,data visualization tools such as Sankey diagrams and Gantt charts provided by Power BI software were used to expand batch and catalog management functions for these drugs.The graphical user interface of Python language(GUI library)was employed to design the program interface and create a project management window for centralized procurement tasks.Results and Conclusion Through system management,the required drug catalogs for volume reporting can be quickly restrieved,and the procurement information and supply status of relevant varieties can be prospectively monitored,which provides standardized,information-based support for drug reserve planning,ensures patients medication use,reduces inventory backlog of non-selected drugs,and offers reference for subsequent centralized procurement volume reporting in other batches.The further improved intelligent monitoring system for centralized procurement drugs can better support medical institutions in adapting to the new demands of centralized procurement drugs under the background of quality improvement and scope expansion.

李雅琴;薛维佳;潘智诚;黄蓉;蒙婷;金朝辉

四川大学华西医院,四川 成都 610041四川大学华西医院,四川 成都 610041四川大学华西药学院,四川 成都 610041四川大学华西医院,四川 成都 610041四川大学华西医院,四川 成都 610041四川大学华西医院,四川 成都 610041

医药卫生

药品集中带量采购提质扩面智能化管理数据可视化Python语言

centralized procurement of drugsquality improvement and scope expansionintelligent managementdata visualizationPython language

《中国药业》 2026 (4)

30-35,6

国家卫生健康委医院管理研究所医院药学高质量发展研究项目[NIHAYS2402]四川大学华西医院学科卓越发展1·3·5工程项目[ZYAI24007].

10.3969/j.issn.1006-4931.2026.04.005

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