Xiaowen Yang, Shenzhong Zhang, Jingjing Ding, Hanzhen Ji, Huiling Pan
Nanjing Medical University Library, Nanjing, China.
Institution of Medical Education Research, Nanjing Medical University, Nanjing, China.
Medicine (Baltimore). 2025 Mar 28;104(13):e41897. doi: 10.1097/MD.0000000000041897.
This paper aims to introduce the use of the agile governance theory in improving the identification and processing speed of distorted health information on the internet to ensure the security of public health information and maintain the authenticity of the network environment. Use literature research and content analysis to summarize the governance challenges of distorted health information and the shortcomings of governance responses. The governance of distorted health information encounters difficulties such as the rapid release of information, frequent updates, and the diversity and anonymity of information publishers. The current countermeasures against distorted health information mainly include community participation, technological means of monitoring, cross-platform cooperation, and data-driven governance. However, existing countermeasures still suffer from the governance process relying on community participation, poor cross-platform collaboration, limited application of algorithms, and insufficient enforcement of information regulation. These shortcomings affect the effectiveness and timeliness of countermeasures against disinformation, and there is an urgent need to further optimize and improve governance mechanisms. To assess the advantages of agile governance theory in the governance of distorted health information, and propose that the agile governance model of distorted health information contains three dimensions, namely, data empowerment, process reengineering, and role reconstruction, and that the implementation path is based on regulations and stipulations, scientific and technological empowerment, and educational guidance, and the interaction of these three dimensions achieves the ability of agile governance of distorted health information with rapid perception, flexible response, and continuous coordination.
本文旨在介绍敏捷治理理论在提高互联网上失真健康信息的识别与处理速度方面的应用，以确保公共卫生信息安全，维护网络环境的真实性。运用文献研究和内容分析方法，总结失真健康信息的治理挑战以及治理对策的不足。失真健康信息治理面临信息发布迅速、更新频繁以及信息发布者的多样性和匿名性等困难。当前针对失真健康信息的对策主要包括社区参与、监测技术手段、跨平台合作以及数据驱动治理。然而，现有对策仍存在治理过程依赖社区参与、跨平台协作不佳、算法应用有限以及信息监管执行不力等问题。这些不足影响了打击虚假信息对策的有效性和及时性，迫切需要进一步优化和完善治理机制。为评估敏捷治理理论在失真健康信息治理中的优势，提出失真健康信息的敏捷治理模式包含数据赋能、流程再造和角色重塑三个维度，实施路径基于法规规定、科技赋能和教育引导，这三个维度的相互作用实现了对失真健康信息的敏捷治理能力，具备快速感知、灵活响应和持续协调的能力。
