Application and challenges of DeepSeek in primary care in China
Bibliographic Data
| ID | 22073079 |
|---|---|
| Authors | Jinyi Zhang (0000-0003-1577-2882, Hong Kong Polytechnic University), Dong Li (0000-0002-9480-993X), Li Dong (0000-0003-0650-1765), Xingyou Wang (0000-0003-3239-6487, Chinese Academy of Medical Sciences & Peking Union Medical College), Zengxiang Wu (0000-0001-8136-8453, West China Medical Center of Sichuan University), Qingguo Lyu (Sichuan University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1721308-1721308 |
| Publication date | 2025-11-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1721308 |
| PMID | 41393030 |
| OpenAlex | W4416775697 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
China’s primary care system faced persistent challenges, including uneven resource distribution, a shortage of general practitioners, and a growing burden of chronic diseases. Artificial intelligence (AI) offered new tools to address these issues. This narrative review summarized the applications, benefits, challenges, and practical recommendations for DeepSeek. Literature searches were conducted across both Chinese and English databases, including China National Knowledge Infrastructure, Wanfang Data, and PubMed. In addition, official websites of provincial Health Commissions were searched for AI policies and reports related to DeepSeek deployment. Evidence showed that DeepSeek had been applied to assist clinical decision-making, support chronic disease management, and enhance medical education and research. Reported outcomes included improved diagnostic efficiency, guideline adherence, and patient engagement. However, challenges remained, such as limited model interpretability, potential reductions in humanistic care, unequal accessibility, technical constraints, and data privacy concerns
China · Chronic disease · Economic shortage · Guideline · Health care · MEDLINE · Primary care · Primary health care · Artificial Intelligence in Healthcare and Education · Machine Learning in Healthcare · Mobile Health and mHealth Applications
Sociodemographic determinants of digital health literacy
Role of fairness, accountability, and transparency in algorithmic affordance
Quality of primary health care in China
Why human–AI relationships need socioaffective alignment
Training needs and curriculum of continuing medical education among general practitioners in Tibet, China
Advancing user-centric design and technology adoption for aging populations
Integration and innovation
Exploring the medical decision-making patterns and influencing factors among the general Chinese public
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |