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考虑医护主体协同的三阶段手术资源组合优化

陈希1, 刘丹阳1, 孙冠2, 张美霞3,4   

  1. 1. 西安电子科技大学经济与管理学院, 西安 710126;
    2. 西安电子科技大学电子工程学院, 西安 710071;
    3. 空军军医大学第一附属医院(西京医院)护理部, 西安 710032;
    4. 西安交通大学生命科学与技术学院, 西安 710049
  • 收稿日期:2022-01-06 修回日期:2022-04-27 发布日期:2022-12-13
  • 基金资助:
    国家自然科学基金面上项目(71974154),省级青年人才支持计划项目,陕西省自然科学基金资助项目(2020JM-202), 陕西省省级青年人才支持项目资助课题.

陈希, 刘丹阳, 孙冠, 张美霞. 考虑医护主体协同的三阶段手术资源组合优化[J]. 系统科学与数学, 2022, 42(11): 3044-3059.

CHEN Xi, LIU Danyang, SUN Guan, ZHANG Meixia. Three-Stage Surgical Resource Portfolio Optimization Considering Medical-Care Cooperation[J]. Journal of Systems Science and Mathematical Sciences, 2022, 42(11): 3044-3059.

Three-Stage Surgical Resource Portfolio Optimization Considering Medical-Care Cooperation

CHEN Xi1, LIU Danyang1, SUN Guan2, ZHANG Meixia3,4   

  1. 1. School of Economics & Management, XiDian University, Xi'an 710126;
    2. School of Electronic Engineering, XiDian University, Xi'an 710126;
    3. Nursing Department, Xijing Hospital, the Fourth Military Medical University, Xi'an 710032;
    4. School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049
  • Received:2022-01-06 Revised:2022-04-27 Published:2022-12-13
文章考虑手术过程中时间和资源的多种不确定性, 提出了考虑医护主体协同的多阶段手术资源组合优化方法. 首先, 在手术资源组合优化问题中, 手术团队主体成员在手术过程中的互动效率会直接影响手术效果. 因此, 文章针对手术团队主体间的协同水平测度,加入了影响医护主体行为的决策风格因素; 其次, 考虑实际手术过程中术前准备阶段医疗设备数量、术中阶段医护人员数量和术后恢复阶段麻醉恢复病床数量的限制, 制定了三阶段资源约束的手术日计划表; 在此基础上,考虑手术室和医疗人员 的可用性与手术效率等多种实际因素,建立了三阶段手术资源组合优化模型; 最后,采用非支配排序遗传算法(NSGA-II)求解多目标优化模型,并通过算例说明所提方法 的有效性和实用性.
Considering the uncertainties of time and resources in the surgical process, a multi-stage surgical resource combination optimization method is proposed that considers the collaboration of the main body of medical and nursing. Firstly, in the optimization problem of surgical resource combination, the interaction efficiency of the main members of the surgical team during the operation will directly affect the surgical effect. Therefore, this article adds the factors of decision-making style that affect the behavior of the medical and nursing subjects to measure the level of coordination between the main body of the surgical team. Secondly, considering the limitation of the number of medical equipment in the preoperative preparation stage and the limitation of the number of anesthesia recovery beds in the postoperative recovery stage, a schedule of surgical days under the resource constraints of three stages is developed. This paper establishes a multi-stage surgical resource combination optimization model considering various practical factors such as the availability of the operating room and medical staff and surgical efficiency. Finally, the non-dominated sorting genetic algorithm (NSGA-II) is used to solve the optimization model. The effectiveness of the proposed method is analyzed with examples.

MR(2010)主题分类: 

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