Objective To construct an intelligent learning adverse event management system based on clinical knowledge base, and to evaluate its application effect. Methods A research and development team was set up to construct an intelligent learning adverse event management system, which included adverse event cause analysis and countermeasures knowledge base, as well as five mo-dules of event reporting, analysis, rectification, sharing and data statistical analysis.The system was officially launched after optimization according to the improvement needs of the medical staff in the pilot ward. Results The incidence of adverse events before and after the application of the system was 0.68‰ and 0.72‰ respectively.After application of the system, the complaint rate caused by adverse events decreased from 16.85% to 12.04%, the number of process improvement cases increased from 28 to 43. In addition to the two dimensions of organizational learning and continuous improvement and the management support for patient safety, the agreement rate of medical staff on the patient safety culture in the hospital was significantly increased in the other 10 dimensions (all P＜0.05). Conclusion The intelligent learning adverse event management system based on clinical knowledge base can provide accurate decision support for adverse event management, promote the standardization of adverse event management, enhance the hospital patient safety cultural atmosphere, and ensure patient safety further.