The Impact of Artificial Intelligence Large Language Models on Health Management Model Innovation in the Context of Digital Healthcare

DOI: https://doi.org/10.62517/jmhs.202505313

Author(s)

Jianke Zhang*

Affiliation(s)

Baise University, Baise, Guangxi, China *Corresponding Author

Abstract

This study aims to explore the impact of artificial intelligence large language models (LLMs) on health management model innovation in the context of digital healthcare. The research employs literature analysis and theoretical synthesis to construct a framework illustrating how LLMs influence health management innovation across three dimensions: service model, organizational management, and value chain ecosystem. The findings indicate that LLMs promote personalized and continuous service models through multi-source data integration and intelligent analysis, optimize organizational decision-making and resource allocation, enhance the dynamic capabilities of healthcare institutions, and facilitate cross-institutional collaboration and value co-creation, thereby improving the health management ecosystem. Based on these results, managerial implications are provided, emphasizing the adoption of LLM technologies to drive transformation in health management models. Future research directions include empirical validation, exploration of ethical and data security issues, and analysis of adaptability across different types of healthcare institutions. The study concludes that LLMs not only enhance the intelligence of health management but also provide a theoretical foundation and practical reference for organizational model innovation and health service ecosystem optimization.

Keywords

Digital Healthcare; Artificial Intelligence Large Language Models (LLMs); Health Management; Model Innovation; Management

References

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