• 1. Business School, Sichuan University, Chengdu, Sichuan 610064, P. R. China;
  • 2. Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
WEN Jin, Email: huaxiwenjin@163.com
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The balanced allocation of high-quality medical resources is crucial for achieving equity, accessibility, and efficiency in medical services. This study sorts out typical high-quality medical resource allocation modes at home and abroad, analyzes the current situation of resource allocation in different regions, different disciplines and typical scenarios. Then, the mechanism that data and artificial intelligence technologies enable the balanced allocation of medical resources is investigated. Afterwards, realistic demands and practice paths of differentiated sharing and regional collaborative development are summarized. Finally, the sharing and collaborative development challenges of high-quality medical resources under the background of data and artificial intelligence are discussed, and suggestions for promoting the high-quality development of China’s medical service system are puts forward.

Citation: LIAO Huchang, JIANG Fan, CAI Yuhang, CHEN Xinge, XIAO Yue, WEN Jin. Current situation, implementation path and challenges of high-quality medical resource sharing and collaborative development enabled by data and artificial intelligence technologies. West China Medical Journal, 2025, 40(12): 1885-1890. doi: 10.7507/1002-0179.202509061 Copy

Copyright ? the editorial department of West China Medical Journal of West China Medical Publisher. All rights reserved

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