一种基于分解的方法,用于多层次的预约规划和调度
Tine Meersman1, Broos Maenhout2,3
1Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2 - 9000, Gent, Belgium.
Health care management science
|May 21, 2025
概括
这项研究优化了乳腺癌查预约,通过平衡患者不出现和服务时间. 一种新的分解方法提高了基于人口的查计划的安排效率和质量.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 生物统计学 生物统计学
背景情况:
- 基于人口的乳腺癌查计划面临的挑战是患者没有出现和可变的服务持续时间.
- 有效的预约安排对于最大限度地提高查吞吐量和尽量减少患者等待时间至关重要.
- 现有的调度模型往往难以解释患者的随机行为和多层次决策.
研究的目的:
- 开发乳腺癌查预约的综合安排方法.
- 为了优化战术 (患者分配) 和操作 (预约时间) 决策.
- 通过考虑患者特定的随机因素来提高查计划的性能.
主要方法:
- 开发了一种分解方法,在战术和作战水平之间进行代,并使用反循环.
- 战术问题被重新表述为一个确定性的混合整数二次制约编程问题.
- 操作问题使用样本平均近似和分解序列和时间决策.
主要成果:
- 基于分解的程序在时间和溶液质量方面表现出卓越的性能.
- 综合方法有效地减轻了运营变化的影响.
- 优化调度导致查数量提高,等待时间减少,资源利用率提高.
结论:
- 拟议的分解方法为复杂的医疗计划问题提供了可靠的解决方案.
- 这种方法可以显著提高基于人口的癌症查的效率和有效性.
- 这些发现为优化医疗保健机构的资源配置和患者流动提供了宝贵的见解.
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