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Comparative Study on Global Development Strategies of Artificial Intelligence in Healthcare
Yingying Li, Jiannan Zhang, Yanju Gu, Yelin Zhu, Qianfeng He, Lanjuan Li
Strategic Study of CAE ›› 2019, Vol. 21 ›› Issue (6) : 106-113.
PDF(566 KB)
PDF(566 KB)
Comparative Study on Global Development Strategies of Artificial Intelligence in Healthcare
This study compares the artificial intelligence (AI) development strategies in healthcare in the US, Japan, UK, India, and China since 2015. Analysis shows that infrastructure investment and industrial layout are the core contents of these strategies. China's strategy is well laid out and ranks only second to the US in several aspects. However, China still faces several critical challenges, including lack of holistic planning and development paths, unclear focuses for development, lack of effective engagement of health data infrastructure with AI application, unbalanced structure of interdisciplinary talents, and insufficient regulation policies for AI application. To promote AI application in healthcare in China, we should clarify the strategic value of AI for healthcare advancement, focus on major health needs, prioritize the construction of data infrastructure and platforms, establish interdisciplinary research institutes to innovate AI application, and promote scientific researches on regulatory mechanisms.
healthcare / artificial intelligence / international comparison
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