More AI, Less Care-Seeking? A National Survey Experiment on the Impact of AI Intensity on Patient Care-Seeking Intention in Chinese Family Doctor Services
Patient acceptance of AI in primary care depends not only on whether AI is involved, but on how deeply AI is positioned in the encounter. Medical-specific AI labeling may enhance acceptance across all AI integration levels. The findings underscore the need to preserve human clinical agency in AI-embedded primary care. The results contribute to research on healthcare systems, digital health, and AI-patient interaction.
Authors
- Ruiping Zhao
- Qianqian Huang (ORCID: https://orcid.org/0000-0003-0637-9376)
- Shengtian Hou
- Yi-lang Tang
- Feng Jiang
Institutions
- Emory University (US)
- Shanghai Jiao Tong University (CN)
- Peking University (CN)
- Yangtze River Delta Physics Research Center (China) (CN)
- Peking University First Hospital (CN)
- Atlanta VA Medical Center (US)
- City University of Macau (MO)
Publication Details
- Journal
- Healthcare
- Published
- 2026-04-13
- DOI
- https://doi.org/10.3390/healthcare14081022
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- National Key Research and Development Program of China
- National Social Science Fund of China