Establishing a medical archive information resource-sharing platform can effectively address issues of resource waste, unavailability, and retrieval. The article develops a medical archive information resource-sharing platform using virtualization and cloud computing technology and proposes a virtualization-based RA_WLC resource scheduling strategy to achieve real-time allocation and scheduling of system resources. Through experimental testing of the medical archive information resource-sharing platform proposed in this paper, the article concludes that two critical paths to promote the construction of the resource pool are derived from the grouping analysis of conditional variables, i.e., Combined Path I (A1): P1*P2*P3*P4*P5*~P7 (Subject*System Standard*Technology Platform* Resource*User*Non-Feedback), Combined Path II (A2): P1*P2* P3*P4*P5*P6 (subject*system standard*technology platform*resource* user*environment). The performance test of the system yields a fault tolerance rate of 0~0.01 for 2000~4000.