摘要
手术室资源调度关系到医院资源配置的合理性,对医院竞争力具有至关重要的影响。针对BBO算法收敛速度效率低、易陷入局部最优的缺陷,提出了云模型BBO算法,并结合所建立的医院手术室资源调度模型,提出了一种基于CMBBO的医院手术资源调度模型。将该模型应用于某大型三甲医院,结果表明手术资源使用率和手术服务能力得到提升、手术等待时间降低,提出的算法对其他医院手术资源调度具有一定的参考价值。
Operating room resource scheduling is related to the rationality of hospital resource allocation,and has a crucial impact on the competitiveness of the hospital.Aiming at the shortcomings of BBO algorithm,such as low convergence speed,low efficiency and easy to fall into local optimum,a cloud model BBO(CMBBO)algorithm is proposed.Combined with the established hospital operating room resource scheduling model,a hospital operating room resource scheduling model based on CMBBO is proposed.The model is applied to a large-scale first-level hospital,and the results show that the utilization rate of surgical resources and surgical service ability are improved,and the waiting time for surgery is reduced,which has a certain reference value for other hospital surgical resource scheduling.
作者
曹苗苗
方健军
王科
CAO Miaomiao;FANG Jianjun;WANG Ke(Department of Science and Education, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University, Shanghai 201306, China;Department of Information, Yantai Hospital of Traditional Chinese Medicine, Yantai 264000, China;School of Computer Science and Technology, Shandong University of Technology, Zibo 255000, China)
出处
《微型电脑应用》
2022年第1期1-4,共4页
Microcomputer Applications
基金
国家重点研发计划(2018YFC130078)。
关键词
等候时间
生物地理学优化算法
云模型
资源调度
waiting time
biogeography-based optimization algorithm
cloud model
resource scheduling
