Reform Pathways for Healthcare Institution Management in the Context of National Infectious Disease Surveillance and Pre-Warning Software Systems

Objective To study the driving role of the deployment and application of the national infectious disease monitoring and early warning front-end software in enhancing the management mode and efficiency of medical institutions, and to provide more theoretical support and practical reference for the establishment of digital medical management system in the new era. Methods To analyze the technical principles and core functions of the National Infectious Disease Surveillance and Early Warning Front-end Software, and to reveal the driving role of the National Infectious Disease Surveillance and Early Warning Front-end Software related technologies in the medical management mode of organizational structure, workflow, information management, personnel responsibilities, and resource allocation through the analysis of systematic literature and theoretical retrospective causes. Results The deployment and application of national infectious disease surveillance and early warning precursor software will drive the transformation of healthcare organizations' management model to data intelligence, but the change may face challenges such as technological integration, organizational inertia, and ethical risks. Conclusion The hospital management model driven by the NIDSS is transforming from “experience-driven” to “data-intelligence-driven”, and the change of its management model is essentially a self-adaptive revolution of healthcare organizations into the era of digital healthcare, which requires the use of intelligent algorithmic modeling technology, organizational inertia, and ethical risks. It is necessary to make breakthroughs in intelligent algorithmic modeling technology, digital literacy competence certification and data regulatory innovation system to build a modern medical management system that combines “level and urgency”.目的研究国家传染病监测预警前端软件部署应用对提升医疗机构管理模式和效率的驱动作用，为新时代下数字化医疗管理体系的建立提供更多的理论支持和实践参考。方法分析国家传染病监测预警前端软件的技术原理和核心功能，揭示国家传染病监测预警前端软件相关技术在组织架构、工作流程、信息管理、人员职责等医疗管理模式中的驱动作用。并通过系统文献分析和理论回顾性分析资源配置的原因。结果国家传染病监测预警预警预警软件的部署和应用将推动医疗机构管理模式向数据智能化转变，但这种转变可能面临技术整合、组织惰性和伦理风险等挑战。结论NIDSS驱动下的医院管理模式正在从“经验驱动”向“数据智能驱动”转变，其管理模式的转变本质上是医疗机构向数字医疗时代的一场自适应革命，需要运用智能算法建模技术、组织惯性和伦理风险。需要突破智能算法建模技术、数字素养能力认证和数据监管创新体系，构建“水平与紧迫性”相结合的现代医疗管理体系。