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我们能从超市中学到什么?泊松分布(补货点)模型在改善血培养瓶供应方面的应用。

What can we learn from supermarkets? An application of the Poisson distribution (order-up-to) model to improve blood culture bottle supplies.

作者信息

Kazzazi Fawz, Kazzazi Diana, Kukendra-Rajah Kishore, Basarab Marina

机构信息

Mason Institute for Medicine, Life Sciences and Law, Edinburgh, UK and Barts Health NHS Trust, London, UK.

The Mid Yorkshire Hospitals NHS Trust, Wakefield, UK.

出版信息

Future Healthc J. 2021 Jul;8(2):e283-e287. doi: 10.7861/fhj.2020-0120.

Abstract

BACKGROUND

The order-up-to inventory model is a method for identifying and maintaining the optimal product level for items that that hold value over time and have recurring demand. Typically, supermarkets utilise it to manage stock-levels of non-perishable goods.

LOCAL PROBLEM

This project aimed to improve blood culture bottle supplies following reports by junior doctors of shortages when dealing with septic/unwell patients.

METHODS

Data regarding blood culture bottle use was acquired from four hospitals within one trust in London (245 wards). The mathematical 'order-up-to' inventory model (an iterative Poisson distribution) was applied to the 6 months' data.

INTERVENTIONS

The model found three predictable levels of demand to stock wards with no shortages in 99.3% of circumstances (based on historical data). Wards were stocked with blood culture bottles as per their required demand.

RESULTS

A collection method and infrastructure was designed to implement the new policy and was applied to a London tertiary centre. A review of doctors, nurses and ward-managers found significant improvements in supply with no shortages since the model was applied. Issues with the dataset were identified for intensive therapy unit / high dependency unit.

CONCLUSIONS

The 'order-up-to' inventory model provides a useful tool within hospitals for improving stock levels of blood cultures bottles and with that the satisfaction of trainees and patient safety.

摘要

背景

补货库存模型是一种用于识别和维持随着时间推移具有价值且有重复需求的物品的最优产品水平的方法。通常,超市利用它来管理不易腐坏商品的库存水平。

当地问题

该项目旨在根据初级医生关于在处理脓毒症/身体不适患者时血液培养瓶短缺的报告,改善血液培养瓶的供应情况。

方法

从伦敦一家信托机构内的四家医院(245个病房)获取了有关血液培养瓶使用的数据。将数学“补货”库存模型(一种迭代泊松分布)应用于这6个月的数据。

干预措施

该模型发现了三个可预测的需求水平,可使病房库存充足,在99.3%的情况下不会出现短缺(基于历史数据)。根据各病房的需求为其配备血液培养瓶。

结果

设计了一种收集方法和基础设施来实施新政策,并将其应用于伦敦的一家三级中心。对医生、护士和病房管理人员的一项调查发现,自应用该模型以来,供应情况有了显著改善,没有出现短缺。确定了重症监护病房/高依赖病房数据集存在的问题。

结论

“补货”库存模型为医院提供了一个有用的工具,可用于提高血液培养瓶的库存水平,进而提高实习医生的满意度和患者安全。

相似文献

9

本文引用的文献

1
Recognition and management of sepsis by junior doctors.初级医生对脓毒症的识别与处理
Future Hosp J. 2016 Jun;3(2):99-102. doi: 10.7861/futurehosp.3-2-99.
3
Management of Sepsis and Septic Shock.脓毒症和脓毒性休克的管理
JAMA. 2017 Feb 28;317(8):847-848. doi: 10.1001/jama.2017.0131.
7
Supply chain dynamics in healthcare services.医疗服务中的供应链动态
Int J Health Care Qual Assur. 2010;23(7):631-42. doi: 10.1108/09526861011071562.
10
Clinical implications of positive blood cultures.血培养阳性的临床意义。
Clin Microbiol Rev. 1989 Oct;2(4):329-53. doi: 10.1128/CMR.2.4.329.

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