基于NSGA II的医院门诊的多目标布局优化
1School of Economics and Management, Panzhihua University, 10 Jichang Road, East District, Panzhihua, Sichuan, People's Republic of China. zhaoyanlin1987@163.com.
Scientific reports
|April 28, 2025
概括
这项研究使用改进的NSGA-II算法优化了医院门诊布局,显著减少了患者的旅行和等待时间,同时提高了工作人员的效率. 该方法提供了一种实际的方法来加强医疗保健设施的运营.
科学领域:
- 医疗保健管理的管理
- 运营研究 运营研究
- 医院管理局 医院管理局
背景情况:
- 医院门诊部门在优化布局以提高效率和患者体验方面面临着挑战.
- 平衡患者流动,运营成本和员工生产力等多个目标是复杂的.
研究的目的:
- 应用改进的非主导排序基因算法II (NSGA-II) 来实现医院门诊病房布局的多目标优化.
- 提高患者步行距离,减少等待时间,提高员工效率和管理运营成本.
主要方法:
- 使用了改进的NSGA-II算法,并采用了适应性人口规模调整策略.
- 在潘志华中央医院的三层门诊大楼进行了案例研究优化.
- 纳入患者步行距离,运营成本,等待时间和员工效率作为关键目标.
主要成果:
- 患者步行距离减少了57.2%.
- 患者等待时间缩短了59%.
- 医务人员协作效率提高,成本仅增加5.6%.
结论:
- 改进的NSGA-II方法对于复杂的多目标门诊布局优化是有效和可行的.
- 调查结果为合理的资源分配和医院服务质量的提高提供了参考.
- 未来的研究应该探索更广泛的适用性,动态优化和与医院信息系统的集成.
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