Zhao Yanlin, Gu Jiamei
School of Economics and Management, Panzhihua University, 10 Jichang Road, East District, Panzhihua, Sichuan, People's Republic of China.
Sci Rep. 2025 Apr 28;15(1):14887. doi: 10.1038/s41598-025-98388-z.
This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. By simultaneously incorporating patient walking distance, hospital operating costs, patient waiting time, and medical staff work efficiency as optimization objectives, and adopting an adaptive population size adjustment strategy, this paper optimizes the existing outpatient layout in a case study of a three-story outpatient building at Panzhihua Central Hospital. The results show that the new plan reduces patient walking distance by 57.2%, shortens waiting time by 59%, and enhances medical staff collaboration efficiency, while only increasing costs by 5.6%. This demonstrates the effectiveness and feasibility of the improved NSGA-II method in handling complex multi-objective optimization problems for outpatient layouts. The research findings provide a reference for the rational allocation of hospital outpatient resources and the improvement of service quality. Additionally, this paper discusses the applicability and limitations of the study and proposes future research directions, including validating the method's effectiveness in hospitals of various types and sizes, incorporating dynamic optimization and real-time data, and deeply integrating with hospital information systems.
本研究利用改进的NSGA-II算法对医院门诊部布局进行多目标优化。通过将患者步行距离、医院运营成本、患者等待时间和医护人员工作效率同时纳入优化目标，并采用自适应种群规模调整策略，以攀枝花市中心医院三层门诊楼为例对现有门诊布局进行优化。结果表明，新方案使患者步行距离减少了57.2%，等待时间缩短了59%，提高了医护人员协作效率，而成本仅增加了5.6%。这证明了改进的NSGA-II方法在处理门诊布局复杂多目标优化问题方面的有效性和可行性。研究结果为医院门诊资源的合理配置和服务质量的提升提供了参考。此外，本文讨论了该研究的适用性和局限性，并提出了未来的研究方向，包括验证该方法在各类大小医院中的有效性、纳入动态优化和实时数据以及与医院信息系统深度集成。
