With the rapid development of information technology, artificial intelligence, and big data, new quality productivity provides new ideas and means for optimizing the allocation of regional medical resources. This article aims to explore the path of regional medical resource sinking and optimized allocation driven by new quality productivity. The article analyzes the main problems in the current allocation of medical resources, such as weak technological infrastructure, data security risks, unbalanced technology application, and insufficient policy support, and points out that these problems constrain the comprehensive application of new quality productivity in the medical field. It has been proposed to improve the efficiency of medical resource scheduling and allocation, achieve precise resource allocation, and enhance the technical capabilities and service levels of grassroots medical institutions through technological means such as information technology, artificial intelligence, and Internet+healthcare. This article emphasizes the importance of policy support, funding investment, and medical personnel training. The study suggests that only with the joint promotion of technological innovation and policy support can regional medical resources be balanced and efficiently allocated, promoting the inclusiveness and equalization of medical services, and providing strong guarantees for improving the quality and efficiency of regional medical services.

Yu Yuan. Research on the Sinking and Optimized Allocation Path of Regional Medical Resources Driven by New Quality Productivity. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 5: 94-100. https://doi.org/10.25236/FSST.2025.070513.

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