通过人工智能驱动的人力资源管理系统增强医院工作人员的规划,安排和绩效评估
Yan Wang1, Pusheng Zheng2, Ying Guan3
1Department of Outreach, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510163, Guangdong, China.
Scientific reports
|March 14, 2026
概括
本研究引入了用于医院人力资源管理 (HRM) 的AI驱动框架,改进了员工安排和绩效评估. 人工智能方法提高了医院运营中的效率,公平性和患者护理质量.
科学领域:
- 医疗保健管理的管理
- 医疗保健中的人工智能
- 运营研究 运营研究
背景情况:
- 医院的传统人力资源管理 (HRM) 面临着手动流程,错误和平衡员工需求与患者护理的挑战.
- 劳动力管理效率低下会影响医院的运营质量,安全和可持续性.
研究的目的:
- 为医院开发和评估人工智能驱动的人力资源管理框架,以优化劳动力规划,员工安排和绩效评估.
- 通过智能自动化提高医院运营效率,员工公平性和患者护理质量.
主要方法:
- 开发了一个由三个模块组成的AI框架:劳动力需求预测 (LSTM,XGBoost,随机森林),智能员工调度 (具有约束的优化模型) 和绩效评估 (度量和NLP反分析).
- 使用合成和真实医院数据集验证框架,包括可扩展性和试点部署的压力测试.
主要成果:
- 人工智能框架显著优于传统方法. LSTM 实现了高预测准确度 (MAE=6.1,R2=0.91).
- 智能调度减少了41%的冲突,并提高了公平性 (Gini=0.08). 绩效评估显示,74%的患者反是积极的.
- 试点研究表明,患者等待时间减少了18%,满意度增加了14%.
结论:
- 人工智能驱动的人力资源管理框架为改善医院劳动力管理提供了强大的解决方案.
- 拟议的系统提高了运营效率,员工满意度和患者护理的整体质量.
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