Abstract:In order to meet the needs of hospital information management,solve the problems of experience dependence, non-quantizability and poor compatibility of hospital information software testing, and achieve high-efficiency, high-quality software operation and low energy consumption goals, this research designed a hospital big data information cloud test system based on intelligent integrated equipment based on the existing MNSS(Medical Network System Simulator) platform. Our system is equipped with a task distributor to provide personalized intelligent terminal services according to the needs of different users; uses intelligent integrated equipment to achieve fast edge computing goals for software cloud testing; utilizes migration learning methods and fuzzy neural networks to complete resource scheduling tasks; makes uses of the machine learning algorithm to solve the problem of automatic software evaluation. Our system is an efficient and accurate testing tool for hospital information construction.