Analysis of the Risks and Governance Strategies for the Application of Generative Artificial Intelligence (GAI) in Primary Healthcare

Corresponding author: shisenzhong, 139962365@qq.com

DOI: 10.12201/bmr.202408.00053

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  Abstract: Purpose/Significance: This article aims to explore the potential, risks, and governance strategies of Generative Artificial Intelligence (GAI) in enhancing the capacity of primary healthcare services in China. Method/Process: Demonstrate through literature review, current situation analysis, and empirical examples. Result/Conclusion: The relevant policies introduced by the government have provided strong support for the application of GAI in primary healthcare services, but a cautious attitude is taken at this stage. Suggestions include building a high-quality GAI data platform, strengthening algorithm standardization and legal construction, deepening medical risk and ethical supervision, encouraging public participation, and promoting cross disciplinary cooperation to effectively empower primary healthcare services with GAI and improve the overall level of medical services.

  Key words: Generative artificial intelligence, primary medical applications, risks and governance strategies

  Submit time: 26 August 2024

  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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