【摘要】 目的/意义 探讨多点多渠道监测预警体系的构建路径，为全国传染病监测预警体系数智化升级提供实践参考。方法/过程 基于湖北省实践，综合运用文献分析、案例研究与系统开发方法，整合医疗机构、学校等多源数据，构建数据采集体系；依托人工智能与大模型技术，开发传染病监测预警与应急指挥信息平台；构建“监测-预警-处置-评估”全流程信息闭环和业务闭环。结果/结论 数智化监测预警体系可有效提升监测广度与预警精度，但需突破部门数据壁垒、强化复合型人才培养、优化模型可解释性。未来应加强政策协同与平台迭代，并建立医学信息学交叉人才培养机制，以加速智慧疾控新生态构建。更多还原

【Abstract】 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.更多还原