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[1]李靖秦君璞黄嘉炜汪嘉恒农雨昊华依林姚麟.基于神经网络算法的X医院手术间分配优化研究[J].中国卫生质量管理,2026,33(2):64-68.[doi:10.13912/j.cnki.chqm.2026.33.2.13]
　LI Jing,QIN Junpu,HUANG Jiawei.Research on the Optimization of Operating Room Allocation in Hospital X Based on Neural Network Algorithms[J].Chinese Health Quality Management,2026,33(2):64-68.[doi:10.13912/j.cnki.chqm.2026.33.2.13]

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基于神经网络算法的X医院手术间分配优化研究

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R] 卷: 33 期数: 2026年2期页码: 64-68 栏目: 质量与信息化出版日期: 2026-02-15

Title:: Research on the Optimization of Operating Room Allocation in Hospital X Based on Neural Network Algorithms

作者:: 李靖秦君璞黄嘉炜汪嘉恒农雨昊华依林姚麟; 中山大学附属第六医院

Author(s):: LI Jing; QIN Junpu; HUANG Jiawei; The Sixth Affiliated Hospital,Sun Yat-sen University

关键词:: 神经网络算法; 手术间分配; 手术时长预测

Keywords:: Neural Network Algorithms; Surgical Room Allocation; Surgical Duration Prediction

分类号:: R197.323

DOI:: 10.13912/j.cnki.chqm.2026.33.2.13

文献标志码:: A

摘要:: 目的探讨利用机器学习算法优化医院手术间资源配置，以提升资源利用效率。方法基于X医院手术运行数据，运用神经网络等机器学习算法预测各科室每周手术时长，并据此制订手术间分配优化方案。结果应用优化策略后，该院2024年手术量较2023年增长11.66%，手术间利用率由68.04%提升至72.80%。结论基于机器学习算法的手术间资源需求预测与优化可以提高手术间利用效能，助力医院精细化管理与高质量发展。

Abstract:: ObjectiveTo explore the optimization of operating room resource allocation in hospitals using machine learning algorithms to enhance resource utilization efficiency.MethodsBased on the operational data of surgeries at hospital X, machine learning algorithms such as neural network were employed to predict the weekly surgical durations for each department, and an optimized operating room allocation plan was formulated accordingly.ResultsAfter implementing the optimization strategy, the number of surgeries in 2024 increased by 11.66% compared to 2023, and the utilization rate of operating rooms improved from 68.04% to 72.80%.Conclusion Predicting and optimizing operating room resource demand based on machine learning algorithms can enhance operating room utilization efficiency, supporting refined hospital management and high-quality development.

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更新日期/Last Update: 2026-02-15