Objective To develop an intelligent early warning platform for safety risks in burn care, evaluate its application effectiveness, and to provide a reference for the implementation of intelligent safety risk management in clinical burn care. Methods Conve-nience sampling method was adopted.A total of 738 burn patients admitted from January to December 2023 (before application of the platform) were enrolled in the control group, while 820 burn patients admitted from January to December 2024 (after application of the platform) constituted the observation group.The control group received routine safety risk management for burn care.Whereas the observation group was subjected to nursing safety risk management based on an intelligent early warning platform specific to burn care.The incidence of nursing adverse events (including potential safety hazards), key hospitalization indicators, nurses′ satisfaction with the information system were compared between the two periods. Results The intelligent early warning platform for safety risks in burn care consisted of three modules:real-time data collection and processing, dynamic risk assessment with hierarchical early warning, and intelligent decision support coupled with personalized intervention.Compared with the period before the platform application, after its implementation, the incidence of nursing potential hazard incident decreased from 6.91% to 4.27%; the length of patients′ hospital stay was significantly shortened, the total hospitalization cost was notably reduced, the 30-day unplanned readmission rate was markedly lowered, and nurses′ satisfaction with platform information was significantly improved (all P＜0.05). Conclusion The application of the intelligent early warning platform for safety risks in burn care effectively prevents nursing adverse events, enhances patient hospitalization outcomes, improves nursing staff satisfaction with the platform′s information functionality, and provides a robust safeguard for nursing safety.