Purpose/Significance To discuss the construction path of the multi-point and multi-channel monitoring and early warning system, so as to provide practical references for the digital intelligence upgrade of the national infectious disease monitoring and early warning system. Method/Process Based on the practice in Hubei province, by comprehensively applying methods such as literature analysis, case study and system development, and integrating multi-source data from medical institutions, schools, etc., a data collection system is constructed. Relying on artificial intelligence (AI) and large model technology, an information platform for infectious disease monitoring, early warning and emergency command is developed. A full-process information and business closed loop of “monitoring-early warning-handling-assessment” is built. Result/Conclusion The digital intelligent monitoring and early warning system can effectively enhance the coverage of monitoring and the accuracy of early warning, but it is necessary to break through the data barriers of departments, strengthen the cultivation of compound talents, and optimize the interpretability of the models. In the future, policy coordination and platform iteration should be strengthened, and a cross-disciplinary talent cultivation mechanism for medical informatics should be established to accelerate the construction of a new ecosystem for intelligent disease control.