According to the strategic objective of developing public tertiary hospitals as leaders in building a strong society, this research investigates new reform approaches for the financial management of public hospitals under the background of informatization. It deals with important issues like the insufficiency of system functions, data isolation, complicated operations, lack of risk management techniques and inaccurate cost control. A novel idea of ‘intelligent financial management’ is put forward, which recommends the combination of advanced information technologies, including big data, artificial intelligence, deep learning, and blockchain, to accomplish complete automation, intelligent upgrading, and improved decision-making abilities. Considering the particular socio-economic and medical conditions of public hospitals, the research uses a multi-faceted and interdisciplinary method, integrating case studies, data mining, and predictive modelling. The main objectives are the reformation of financial procedures, innovative financial risk management and optimized cost control with resource allocation. Furthermore, it discusses the major obstacles such as data integration with privacy protection, enhancement of personnel competence and system compatibility during the continuous reform. Corresponding countermeasures are suggested, such as technology integration, establishment of risk assessment models, deployment of decision support tools, and formation of an ongoing improvement system. The results are intended to offer theoretical assistance and practical guidance for the modernization of public hospital financial management in both public hospitals and throughout the country, thus contributing to the advancement of high-quality and sustainable development of the public health system.
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