Abstract: [Purpose/Significance] The emergence of Large Models is reshaping the knowledge system and management methods in healthcare, necessitating an in-depth exploration of the significant impacts, evolutionary pathways, management strategies, and cutting-edge applications of this phenomenon and its characteristics on the knowledge framework within the medical field. [Design/Methodology] This paper conducts a comprehensive analysis of the emergence phenomenon and characteristics of Large Models, using them as a lens to systematically sort out the constituent elements and evolutionary forms of the health and medical knowledge system. On this basis, a dynamic management framework for health and medical knowledge under the perspective of emergence of Large Models is proposed, and the development prospects of the frontier areas of health and medical large models are summarized. [Findings/Conclusion] From the perspective of emergence of Large Models, this study elucidates the interaction and dynamic transformation relationships both within the three main elements of the health and medical knowledge system, and between its internal and external environment. Furthermore, a corresponding dynamic framework for health and medical knowledge management is proposed. [Originality/Value] This study reveals the potential impact of Large Models' emergence on the health and medical knowledge system and management approaches, and proposes a new model of healthcare knowledge management from the perspective of Large Models' emergence.

Keywords: Large Models, Emergence, Healthcare, Knowledge management, Diagnostic decision making