Dynamic capability building empowers hospitals to develop and practice an open and collaborative artificial intelligence systems

Corresponding author: zhouxiang, zx_pumc@163.com

DOI: 10.12201/bmr.202605.00056

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  Abstract: Purpose / Significance Explore the construction model of hospital artificial intelligence system based on dynamic capability enhancement, addressing the current pain points of urgent demand for independent artificial intelligence applications in hospitals and insufficient systematic construction capabilities. Method / Process Based on the dynamic capability theory, this study systematically analyzes the current development status and characteristics of artificial intelligence (AI) applications in hospitals. It deconstructs the connotation of dynamic capabilities and the driving mechanisms for their development. From the three dimensions of capability perception, capability integration, and capability iteration, it explores the practice of building an AI system that is shared, utilized, coordinated, and co-constructed. Result / Conclusion This path can facilitate hospitals in enhancing their digital-intelligent interconnection level and the quality of AI application implementation, providing a reference template for promoting the construction of the AI system in the medical industry.

  Key words: dynamic capability, open collaboration, artificial intelligence system, development mechanism

  Submit time: 15 May 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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• ID	Submit time	Number	Download
  2	2026-01-05	10.12201/bmr.202605.00056V2	Download
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