Abstract: Objective: To construct a digital intelligent nursing quality management system applicable to multi-campus hospitals and evaluate its application effects, providing a reference for improving the standardization and efficiency of nursing quality management across multiple hospital campuses. Methods: A digital intelligent nursing quality management system was developed, encompassing six key components: core system library, nursing indicator library, inspection tasks, inspection results, closed-loop rectification, and statistical analysis. The system was gradually implemented across three hospital campuses from August 2024. The nursing quality control scores and time consumption were compared before and after the system's implementation. Additionally, the nursing quality control scores among the three hospital campuses were analyzed after the application of the system. Results: After system application, nursing quality control score significantly improved, and the time required for quality control checks, data input, statistical analysis, and report formation were reduced by 33.57, 6.57, 26.50, 29.78 minutes each time, respectively, the differences were statistically significant (P<0.05). Following the synchronized application of the system across three hospital campuses, no statistically significant differences were observed in the total nursing quality control scores among the hospital campuses (P>0.05). Conclusion: The implementation of the digital intelligent nursing quality management system enhances the standardization and efficiency of nursing quality control in multiple hospital campuses.

Key words: nursing quality; multi-campus; digital intelligence technology; homogenization management