Xu Xingjuan, Zhang Yuanyuan, Wang Yadong, Zhao Chenjian, Zhang Yuhang, Xie Xuefeng
School of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Anhui Provincial Drug Regulatory Scientific Research Center, Hefei, Anhui Province, China.
BMC Public Health. 2025 Jul 17;25(1):2485. doi: 10.1186/s12889-025-23670-8.
BACKGROUND: With the rapid development of digital transformation driven by big data and artificial intelligence in China, the field of public health is undergoing profound transformations. This study introduces technological innovation as a mediating variable into an analytical framework to systematically explore the impact of digital transformation on public health and the underlying mechanism. METHODS: Using panel data from 31 provinces in mainland China from 2010 to 2019, this study empirically investigated the impact of digital transformation on public health via two-way fixed-effect analysis. Moreover, the internal mechanism was determined by testing the mediation effect of technological innovation. RESULTS: The research findings showed a significant positive relationship between digital transformation and improvements in public health. Mediation effect analysis indicated that digital transformation enhances public health by fostering technological innovation. Additional analysis revealed that the promoting effect in the central and western regions of China is more pronounced than that in the eastern regions. CONCLUSION: This study unveils that digital transformation significantly improves public health, especially through enhanced technological innovations that achieve health improvement, and proposes specific recommendations for future health development strategies. It not only offers a scientific foundation for government digital health policies but also provides a forward-looking perspective for academics engaged in the field of digital transformation and public health. Additionally, it empirically verifies the differential impacts of digital technology on public health across regions, provides scientific references for optimizing health resource allocation and narrowing regional health gaps, and contributes empirical findings toward achieving a Healthy China.
背景:随着中国大数据和人工智能驱动的数字转型快速发展,公共卫生领域正在经历深刻变革。本研究将技术创新作为中介变量引入分析框架,系统探讨数字转型对公共卫生的影响及其潜在机制。 方法:利用2010年至2019年中国大陆31个省份的面板数据,本研究通过双向固定效应分析实证研究了数字转型对公共卫生的影响。此外,通过检验技术创新的中介效应来确定内部机制。 结果:研究结果表明数字转型与公共卫生改善之间存在显著的正相关关系。中介效应分析表明,数字转型通过促进技术创新来提升公共卫生水平。进一步分析显示,中国中西部地区的促进作用比东部地区更为显著。 结论:本研究揭示数字转型显著改善了公共卫生,特别是通过增强技术创新来实现健康改善,并为未来的健康发展战略提出了具体建议。它不仅为政府数字健康政策提供了科学依据,也为从事数字转型和公共卫生领域的学者提供了前瞻性视角。此外,它实证验证了数字技术对各地区公共卫生的不同影响,为优化卫生资源配置和缩小地区健康差距提供了科学参考,并为实现健康中国贡献了实证研究结果。
J Health Organ Manag. 2025-6-30
Cochrane Database Syst Rev. 2017-5-23
Health Soc Care Deliv Res. 2025-5-21
Int J Health Plann Manage. 2025-7
Cochrane Database Syst Rev. 2015-7-27
J Med Internet Res. 2025-7-18
Mayo Clin Proc Digit Health. 2023-3-25
BMC Public Health. 2025-3-26
Sci Robot. 2023-12-20
Front Public Health. 2023
J Clin Med. 2023-1-4