Research and Implementation of a Cloud-Based Glaucoma Auxiliary Diagnosis Platform

The main purpose of this research is to design a cloud-based open, shared, collaborative, multi-tenant, multi-organization glaucoma auxiliary diagnosis service platform. It mainly includes the research on the current situation at home and abroad, and analyzes the existing problems. On this basis, aiming at the problems of irreversible glaucoma and uneven distribution of medical resources, the service mode and concept of intelligent medical treatment are proposed to provide a unified portal for hospitals, doctors and patients, so that they can access the platform and choose the services they need. The platform uses information technologies such as cloud computing, big data, and artificial intelligence to achieve data sharing by obtaining patient VF data. Use big data to alert users of possible health risks in advance, and maximize the use of data to prevent possible health problems for users. According to the service model, complete the IaaS, PaaS, SaaS logic architecture and system architecture design; complete the service function development, database modeling development and visual interface development, and finally realize the platform operation. Transform traditional medical services into digital medical services, provide users with streamlined, standardized and precise services, and solve the current problems of uneven distribution of medical resources, non-sharing of data, and insufficient service strength. Promote the deep integration of Internet technology and medical care, and promote the development of information technology in the medical service industry.