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多种资源限制的选择性手术安排与纳什平衡向智能医院的纳什平衡
Jun Xue1, Zhi Li2, Shuangli Zhang3
1Department of General Surgery, Hebei Provincial Key Laboratory of Systems Biology and Gene Regulation, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, China.
Scientific reports
|January 31, 2025
概括
这项研究引入了一种用于选择性外科手术安排的新算法,以尽量减少患者康复时间,员工加班和成本. 数字双胞胎技术用于模拟和验证外科手术过程,改善医院运营.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 计算机科学 计算机科学
背景情况:
- 由于多种资源的限制,选择性外科手术安排是复杂的.
- 优化时间表需要平衡患者康复,员工工作量和成本.
研究的目的:
- 为选择性手术开发一个优化的调度模型.
- 尽量减少患者平均恢复时间,员工加班时间和医疗总费用.
- 通过数字双胞胎技术验证拟议的调度方法.
主要方法:
- 作为混合整数线性多目标优化模型的表述.
- 基于纳什平衡 (HBA-NE) 的蜜算法的开发.
- 实施数字双胞胎 (DT) 技术用于模拟和验证.
主要成果:
- HBA-NE算法有效地解决了多种资源限制的选择性外科调度 (MESS) 问题.
- 实验研究验证了拟议的外科手术安排方案的性能.
- 数字双胞胎技术成功地整合了物理和虚拟医院空间,用于手术过程的模拟.
结论:
- 提出的HBA-NE方法为复杂的外科手术安排提供了有效的解决方案.
- 数字双胞胎技术增强了智能医院最佳手术时间表的验证和实施.
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