Patent value plays an important role in the open innovation system, which can stimulate enthusiasm for research and development investment and innovation collaboration. High-value patents on artificial intelligence for healthcare can attract venture capital and encourage more enterprises to conduct research and development, thus driving the development of related industrial clusters for a smart medical system. This study focused on the mechanism of impacting the patent value from the perspective of technological proximity and made an empirical analysis by using patent data and multiple ordinary least squares regression models. The results showed that the technological proximity network extracted from patent data significantly affected patent value through the centrality measurements of patent nodes in the proximity network. Finally, the study also provided some implications for the formulation of research and development planning and technological innovation policies.

The COVID-19 pandemic highlights the importance of digital technology in a specific region’s epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. Based on the bibliometric study of relevant literature data, this paper evaluated the research and development status in this field, and conducted a systematic literature review on the basis of the core articles identified. The results of bibliometric analysis software, including CiteSpace, CitNetExplorer and VOSViewer, showed that the development of relevant research presented rapidity and decentralization, and the evolution process of literature topics further implies the necessity of interdisciplinary and multisectoral collaboration. Furthermore, this paper summarized the specific implementation strategies for constructing an open innovation system, and discussed the role and development plan of digital technology in epidemic prevention and control.

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