Abstract: Objective: To explore the establishment of a dynamic allocation system for nursing human resources and carry out multi-scenario allocation practice, aiming to provide a reference for large public hospitals to optimize human resource allocation and improve management efficiency. Methods: Guided by the core principles of "strategic guidance, dynamic flexibility and safety as the foundation", a dynamic allocation system for nursing human resources was constructed through specific implementation strategies including building an integrated command system, establishing a hierarchical reserve structure, strengthening data-driven platform support, and improving a comprehensive guarantee mechanism. The system was applied in practice across multiple scenarios, including routine hospital operations, major public health events, medical security for major activities, and special rescue missions. Results: This system effectively responded to various internal and external fluctuations in human resources. In 2025, there were 6 hospital-level emergency allocations and 664 person-times of division-level allocations. The ratio of nurses on duty to actually open beds increased to 1.12:1. The satisfaction rate of inpatients with nursing services remained 100%. Major tasks such as the treatment provided by a 100-person dispatched medical team and the medical security for the 2022 Beijing Winter Olympics were successfully completed. The nurse turnover rate remained at a low level, and the team stability and work enthusiasm were ensured. Conclusion: The constructed dynamic allocation system for nursing human resources not only ensures the stable operation of the hospital and the completion of major tasks, but also effectively maintains the stability of the nursing team. It can serve as a reference for large public hospitals to establish a high-quality and efficient dynamic allocation system for nursing human resources.

Key words: nursing; human resources; dynamic allocation; multi-scenario