The unified reservation service system for medical institutions based on cloud platform and artificial intelligence (AI) technology is a research direction of applying cloud computing and AI to the medical field. The system aims to provide a platform for centralized management and scheduling of medical resources, so that patients can make medical appointments conveniently. This paper introduces a unified reservation service system for medical institutions based on cloud platform, which combines artificial intelligence technology with medical management in today’s society and provides a two-way choice platform for users and medical institutions. In this paper, the current situation of medical services in China is analyzed firstly, and the relevant information about cloud computing platform is introduced. Combined with the demand of unified appointment service for medical institutions in China, a unified appointment service system for medical institutions based on cloud platform and AI technology is proposed. Aiming at the service system, this paper introduces the improved scheduling algorithm, and finally investigates the system by simulation research method. The results show that the improved scheduling rule can be applied in most environments when the number of patients is low. When the number of patients is relatively high, its performance effect is the best.