Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China.
Comput Intell Neurosci. 2022 Aug 9;2022:6549766. doi: 10.1155/2022/6549766. eCollection 2022.
Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligence industry is quietly rising. In the social life of the information age, the artificial intelligence industry represented by machine deep learning is playing a very important role. This study in combination with the background of the new health reform, in view of the reform of the medical industry, analyzes the connotation of financial wisdom based on the important role of the hospital financial development problems, puts forward the development direction of artificial intelligence hospital financial wisdom development measures, designed to meet the changing external environment demand, reduces human costs, and improves the overall efficiency of hospital financial fund management. Based on the evaluation results, this paper proposes the correct direction for the development of hospital intelligence finance by using the BP neural network model. After the analysis, it is found that the development of artificial intelligence is an important measure to promote the development of hospital intelligent finance. In other words, hospital intelligent financial management is the product of the continuous progress of artificial intelligence technology. At the present stage, the intelligent financial management problems of hospitals are mainly as follows: (1) lack of financial informatization, (2) lack of perfect financial risk early warning system, and (3) the phenomenon of "information island" in the financial system. After analyzing the above problems, the research believes that the development of hospital intelligent finance based on artificial intelligence needs to solve the above thorny problems, so as to improve the outcome of hospital intelligent finance development. The following work should be done: (1) strengthen the design of information sharing module, (2) intelligent control of the cost of hospitals, and (3) intelligent treatment of hospital accounting. Combining the development of artificial intelligence and hospital intelligent finance theory, combined with the actual trend of financial intelligence development under the background of artificial intelligence development in the new era, it provides scientific basis for the development of hospital intelligent finance.
基于计算机技术和互联网技术交织融合的发展背景，中国人工智能产业悄然崛起。在信息时代的社会生活中，以机器深度学习为代表的人工智能产业正在发挥着非常重要的作用。本研究结合新医改背景，针对医疗行业改革，基于医院财务发展问题的重要作用，分析了财务智慧的内涵，提出了人工智能医院财务智慧发展措施的发展方向，旨在满足不断变化的外部环境需求，降低人力成本，提高医院财务基金管理的整体效率。基于评价结果，利用 BP 神经网络模型，为医院智能金融的发展提出了正确的方向。分析后发现，人工智能的发展是促进医院智能金融发展的重要措施。换句话说，医院智能财务管理是人工智能技术不断进步的产物。现阶段，医院智能财务管理存在的问题主要有：（1）财务信息化程度不足；（2）缺乏完善的财务风险预警系统；（3）财务系统存在“信息孤岛”现象。在分析上述问题后，研究认为，基于人工智能的医院智能金融发展需要解决上述棘手问题，以提高医院智能金融发展的结果。应做以下工作：（1）加强信息共享模块的设计；（2）医院成本的智能控制；（3）医院会计的智能处理。结合人工智能与医院智能金融理论的发展，结合人工智能发展背景下新时期财务智能发展的实际趋势，为医院智能金融的发展提供了科学依据。
