Research on Bilateral Matching of Medical Supply Chain Resources Based on Gale-Shapley

In this paper, based on the Gale-Shapley algorithm model, optimizes the allocation of resources between doctors and patients in hospital graded diagnosis and treatment system. Taking N hospital Y specialist as an example, the stable matching with Pareto optimal is obtained. In this paper, it conducts in-depth research on the supply and demand matching of medical supply chain resources, and provides reference value for the top-level design of medical system, thus changing the current unreasonable management of medical supply chain resources in China and promoting the realization of medical service grading diagnosis and treatment..