Abstract:Background: Since entering the risk society, sudden public health incidents represented by infectious disease outbreaks have posed serious threats to human health, the economy, and social order. These incidents are characterized by their complexity, uncertainty, wide-reaching effects, high dependency on knowledge, and short decision-making windows. To enhance the effectiveness and scientific basis of governance, the involvement of medical and technological experts in managing these events has become a crucial scientific safeguard. Consequently, public technology has emerged as a significant means to address these sudden public health incidents. Medical and technological experts, representing public technology experts, have seen a substantial rise in their status in the governance process, becoming a primary group influencing policy. This study preliminarily explores the logical causes behind their behavioral characteristics through the lens of embeddedness theory, analyzing the competitive participation of medical and technological experts in event governance. Methods: This study constructs a theoretical analysis framework by integrating expert participation theory, arena theory, and embeddedness theory through a literature review method. Subsequently, the framework is applied to two typical cases of sudden public health incidents using a case comparison method and in-depth interviews. This approach is used to analyze the behavioral characteristics of medical and technological experts involved in specific issues, in order to verify the effectiveness and scientific nature of the framework. Results: This study reveals that the involvement of technology experts is the starting point for expert competition. Throughout the competitive process, individual motivations and the diverse characteristics of relational embeddedness primarily influence their actions. However, under the influence of structural embeddedness factors, their behaviors tend to converge. Over time, as the government's governance model solidifies, the competition among experts gradually diminishes. Overall, the findings display characteristics of intermittent equilibrium and path dependency, indicative of temporal embeddedness. Conclusion: This study provides an in-depth analysis of the competitive behaviors of medical and technological experts in sudden public health incidents from the perspective of embeddedness. It explains the phenomena from their origins, derives logic from mechanisms, and offers suggestions for improvement. This research contributes new perspectives and ideas for analyzing the utility of public technology in sudden public health events and provides practical support for its application in other emergencies.