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在护理流程中进行战术性资源分配和选择性患者入院规划。

Tactical resource allocation and elective patient admission planning in care processes.

机构信息

University of Twente, Enschede, The Netherlands.

出版信息

Health Care Manag Sci. 2013 Jun;16(2):152-66. doi: 10.1007/s10729-012-9219-6. Epub 2013 Jan 4.

Abstract

Tactical planning of resources in hospitals concerns elective patient admission planning and the intermediate term allocation of resource capacities. Its main objectives are to achieve equitable access for patients, to meet production targets/to serve the strategically agreed number of patients, and to use resources efficiently. This paper proposes a method to develop a tactical resource allocation and elective patient admission plan. These tactical plans allocate available resources to various care processes and determine the selection of patients to be served that are at a particular stage of their care process. Our method is developed in a Mixed Integer Linear Programming (MILP) framework and copes with multiple resources, multiple time periods and multiple patient groups with various uncertain treatment paths through the hospital, thereby integrating decision making for a chain of hospital resources. Computational results indicate that our method leads to a more equitable distribution of resources and provides control of patient access times, the number of patients served and the fraction of allocated resource capacity. Our approach is generic, as the base MILP and the solution approach allow for including various extensions to both the objective criteria and the constraints. Consequently, the proposed method is applicable in various settings of tactical hospital management.

摘要

医院资源的战术规划涉及择期患者入院规划和资源能力的中期分配。其主要目标是为患者提供公平的机会,达到生产目标/服务于战略商定的患者数量,并有效地利用资源。本文提出了一种制定战术资源分配和择期患者入院计划的方法。这些战术计划将可用资源分配到各种护理流程,并确定要服务的患者的选择,这些患者处于他们的护理流程的特定阶段。我们的方法是在混合整数线性规划 (MILP) 框架中开发的,通过医院的多个资源、多个时间段和多个具有不同治疗路径的患者群体进行处理,从而整合了对医院资源链的决策。计算结果表明,我们的方法导致资源分配更加公平,并提供了对患者就诊时间、服务患者数量和分配资源能力比例的控制。我们的方法是通用的,因为基础 MILP 和解决方案方法允许对目标标准和约束进行各种扩展。因此,所提出的方法适用于战术医院管理的各种环境。

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