Advancing Health Care Systems with AI Supported by Cloud and Wireless Networks

Modern computing has been changed rapidly by the development of internet technologies and cloud computing is a solution that is scalable, flexible, and cost-effective. Cloud platforms remove the necessity of managing physical infrastructure, which means that there is easy access to software, data, computing capabilities, and storage. Their decentralized data centers and their flexible service formats enable them to be applicable in so many industrial settings. This research examines the combinations of cloud computing technology and wireless communication technology in enhancing financial control in hospitals where budgeting, allocation of resources, cost management, and generally financial operations are major challenges to the hospitals. In order to solve these problems, an artificial intelligence (AI) driven hybrid cloud-based optimization framework is suggested. The structure uses cloud computing services and wireless network connectivity to automate everyday activities and simplify financial operations, which enhances the efficiency of operations. The design is centered on an integrated Fuzzy Neural Network (FNN) model which was compared to independent neural networks and the traditional fuzzy logic methods. It has been proved through experiments that the hybrid model is able to handle hospital financial processes successfully with low computational overhead and high accuracy of 98.01.