门诊管理中的人工智能:在中国一家三级医院的仿真研究
Xiaoxiao Quan1,2, Kejun Wang1, Junjie Pan1
1Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Frontiers in artificial intelligence
|January 21, 2026
概括
人工智能 (AI) 通过提高患者流量预测和减少等待时间来改善门诊管理. 人工智能提高了医生的效率和满意度,尽管现实世界的实施面临数据隐私和监管障碍.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医疗保健管理的管理
背景情况:
- 中国的医疗保健系统面临着人口老龄化和资源分配不平等等挑战.
- 技术创新对于提高医疗保健效率和质量至关重要.
研究的目的:
- 探索人工智能 (AI) 在中国门诊管理中的应用,价值和挑战.
- 通过模拟数据和调查,评估AI对患者流动,等待时间和医生效率的影响.
主要方法:
- 对长短期记忆 (LSTM) 深度学习模型与用于门诊流量预测的传统ARIMA模型进行比较分析.
- 医生调查评估人工智能对工作效率和工作满意度的影响.
- 模拟以量化患者等待时间和资源分配的变化.
主要成果:
- 与ARIMA模型相比,LSTM模型在预测准确度上有15%的改进.
- 模拟人工智能实施将患者等待时间减少约30%.
- 医生调查显示,人工智能集成提高了工作效率和工作满意度.
结论:
- 人工智能显示出优化资源配置和增强门诊患者体验的巨大潜力.
- 现实世界的应用需要解决诸如数据隐私,监管合规性和医生接受等挑战.
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