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针对医院医疗收费管理存在的问题，提出基于机器人流程自动化与人工智能技术的医院医疗收费智能化管理模型。结合优化后的基于密度的带噪声应用空间聚类算法和决策树算法，对医院医疗收费数据进行智能分析与管理。结果显示，在应用所提模型后，患者对医院医疗收费的满意度由73.3%提升至82.3%,医院总体收入也从22.3亿元增长至23.6亿元。由此可见，所提模型能有效提升患者满意度和医院收入，同时改进基于密度的带噪声应用空间聚类算法展现出更优的聚类效果，为医院医疗收费智能化管理提供新的解决方案。

Aiming at the problems in hospital medical fee management, this study proposes an intelligent management model for hospital medical fees based on robot process automation and artificial intelligence technology. The method combines optimized density-based noisy application spatial clustering algorithm and decision tree algorithm to intelligently analyze and manage hospital medical fee data. The results show that after applying the proposed model, patient satisfaction with hospital medical fees increas from 73.3% to 82.3%, and the overall hospital revenue also increases from 2.23 billion yuan to 2.36 billion yuan. The conclusion indicates that the proposed model can effectively improve patient satisfaction and hospital revenue, while improving the density-based noisy application spatial clustering algorithm to demonstrate better clustering performance, which provides a new solution for intelligent management of hospital medical fees.