基于"人工智能+供应商管理库存"的药物供应链信息管理在中国:基于案例研究的观点
Jianwen Shen1, Fengjiao Bu1, Zhengqiang Ye2
1Department of Pharmacy, Eye & ENT Hospital, Fudan University, Shanghai, China.
Frontiers in pharmacology
|July 31, 2024
概括
这项研究引入了一种人工智能加上供应商管理库存 (AI+VMI) 系统,以优化医院药物供应链. AI+VMI系统显著降低了库存率和错误,提高了药物管理的整体效率和患者满意度.
科学领域:
- 医疗信息学 医疗信息学
- 供应链管理 供应链管理
- 医疗保健中的人工智能
背景情况:
- 医院药品供应链管理效率低下,导致成本增加,患者护理减少.
- 目前的系统往往缺乏用于最佳库存控制和财务管理所需的集成和智能.
研究的目的:
- 实施和评估使用人工智能和供应商管理库存 (AI+VMI) 的数字药物供应链信息系统.
- 优化药物管理实践,降低成本,改善医院内部的财务和资产管理.
主要方法:
- 开发和实施数字AI+VMI系统,用于医院药品供应链信息管理.
- 采购,和解和结算过程的数字化和智能化.
- 使用诸如药物损失,库存差异,支出和在实施前后使用服务等指标评估系统有效性.
主要成果:
- 将医院库存率降低到约20%,并将平均年度库存错误率从0.425‰降低到0.025‰.
- 药物供应链效率提高了42.4%,减少了药物应用,分配和分销中的错误.
- 在多个医院区进行标准化药物管理,改善药物可获得性和患者满意度.
结论:
- AI+VMI系统增强了药物供应链安全性,降低了成本,提高了药物管理的效率和安全性.
- 实施提高了制药人员的专业能力和服务水平,有助于改善医疗保健结果.
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