一种急诊科医疗单位资源配置的仿真优化方法。

A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit.

机构信息

Faculty of Industry and Mining, University of Sistan and Baluchestan, Zahedan, IR.

Department of Engineering, Islamic Azad University, Branch of lahijan, IR.

出版信息

Glob Heart. 2020 Feb 11;15(1):14. doi: 10.5334/gh.528.

DOI:10.5334/gh.528

PMID:32489787

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7218783/

Abstract

BACKGROUND

Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively.

METHODS

The present study aimed to investigate the effective resources in the emergency department and provide an optimal combination of these resources based on the meta-modeling optimization approach to reduce the wait time for patients in the ED.

RESULTS

The results demonstrated that the number of CHWs and beds played a significant role in the total average wait time for patients. Although the effect of other variables was not statistically significant, they were deliberately used in this study to determine the optimal combination of such variables by solving the problem.

CONCLUSION

The findings of the present simulation-model approach provide hospital managers with valuable data in order to control and re-design the admission to discharge procedure in the emergency in order to enhance efficiency. By considering the budget, the new configuration of 2 Community Health Worker, 1 Receptionist, 1 nurses, 3 Cardiologist and 10 beds, with 142 minutes of a patient's wait time shows 49.6% wait time improvement and a reduction of 51% in the cost of resource usage.

摘要

背景

在急诊科的资源决策中，有效的决策对于部门的绩效起着至关重要的作用。由于错误的决策可能会对服务质量造成不可挽回的后果，决策者应该对资源进行分析和有效分配。

方法

本研究旨在调查急诊科的有效资源，并通过元模型优化方法提供这些资源的最佳组合，以减少急诊科患者的等待时间。

结果

结果表明，CHW 和床位的数量对患者的总平均等待时间有显著影响。尽管其他变量的影响不具有统计学意义，但它们在本研究中被故意使用，以便通过解决问题来确定这些变量的最佳组合。

结论

本模拟模型方法的研究结果为医院管理者提供了有价值的数据，以便控制和重新设计急诊科的入院和出院流程，以提高效率。考虑到预算，新的配置为 2 名社区卫生工作者、1 名接待员、1 名护士、3 名心脏病专家和 10 张床位，患者等待时间为 142 分钟，可将等待时间缩短 49.6%，资源使用成本降低 51%。