基于潍坊市采供血业务信息系统大数据，结合红细胞最佳保存时间，探讨潍坊市红细胞最佳库存以及建立和实施血液库存预警系统的方法。

通过回顾性分析方法，统计2016年-2019年潍坊市年度红细胞用血量、增长率及年均增长率、各血型用量及占比、月度红细胞平均用量和标准差，临床用血计划及血液最佳保存时限等，以正态近似法计算各血型红细胞的月度最佳库存量参考值。

潍坊市2016年-2019年红细胞用量呈逐年上升趋势，年均增长率为4.32%，A型、B型、O型、AB型红细胞月度平均最佳库存量分别为(13 344.8±1 121.0)U、(14 879.1±1 466.8)U、(13 674.0±1 912.9)U、(5 071.3±571.3)U。结合工作实际，各血型以14倍日均用血量为红细胞最佳库存，以5倍日均用血量为最低库存(低库存预警一级)，25倍日均用血量为最高库存(高库存预警一级)。

最佳库存量是保持库存动态监控和保证血液安全有效的基础，对建立和完善血液库存预警系统提供了依据，在采供血实践中起到对血液库存"削峰填谷"的作用

Based on the big data of the blood collection and supply business information system in the region, combined with the best storage time of red blood cells, we discuss the best red blood cell inventory in this region and the method of establishing and implementing a blood inventory early warning system.

Through a retrospective analysis method, the annual red blood cell consumption, growth rate and average annual growth rate, the consumption and proportion of each blood type, the monthly average consumption and standard deviation of red blood cells, the clinical blood consumption plan and the blood best storage time limit, we calculated the reference value of the best monthly inventory of red blood cells of each blood type by the normal approximation method.

From 2016 to 2019, the amount of red blood cells in this region showed an upward trend year by year, with an average annual growth rate of 4.32%. The monthly average optimal inventory of type A, type B, type O and type AB red blood cells was (13 344.8nd type )U and(14 879.1nd type )U, (13 674.0nd type )U, (5 071.30nd ty)U, respectively. Combined with the actual work for each blood type, 14 times of the average daily blood consumption were the best stock of red blood cells, 5 times of the average daily blood consumption were the minimum stock (low stock early warning level), and 25 times of the average daily blood consumption were the highest stock (High inventory warning level 1).

The optimal inventory is the basis for maintaining dynamic inventory monitoring and ensuring blood safety and effectiveness. This study provides a basis for establishing and improving the blood inventory early warning system, and playing a role in "shaving peaks and filling valleys" for blood inventory in blood collection and supply practices.