Abstract: Objective: To optimize a nurse hierarchical training platform through the analysis of learning behavior data, enhancing nurses' core competencies and training efficiency, and providing a more convenient and efficient training model for nursing teams. Methods: A nurse hierarchical training platform was developed, including four modules: business center, data statistics and visualization, user information management, and system settings. Nurses were categorized into different levels according to their competency, and the platform was used to implement the hierarchical training, learning behavior data were analyzed to optimize platform functions. The platform was applied in January 2023. Sixty nurses were selected by stratified random sampling. The course click rate, training completion rate, assessment pass rate, and core competencies before and after the platform optimization were compared, along with surveys on the satisfaction of managers and nurses after the system application. Results: After the system application, nurses showed significant improvements in course click rate, training completion rates and the assessment pass rate (P<0.05), the score of core competencies increased from 177.00±41.20 to 198.16±29.59 (P<0.05). Both manager satisfaction and nurse satisfaction were at a high level. Conclusion: The nurse hierarchical training platform based on learning behavior data analysis can effectively improve the training efficiency and core competencies of nurses, enhance training management efficiency, and achieve high nurse satisfaction. It provides a practical basis for the systematized, hierarchical, and informatized management of nurse hierarchical model.

Key words: training; informatics platform; learning behavior; core competence