Research on teaching reform for chronic disease prevention and control talents in grassroots healthcare institutions empowered by digital intelligence
10.19485/j.cnki.issn2096-5087.2026.08.023
- Author:
LI Zhanyi
;
JIN Dian
;
ZHANG Xiaoting
;
ZHENG Siyuan
;
JIN Jiamei
;
FU Xiaoying
;
WANG Yuying
;
YAN Zhe'an
;
SHEN Yuhao
;
YANG Li
;
LI Yingjun
;
JING Zhengwei
- Publication Type:Journal Article
- Keywords:
chronic disease;
talent;
training mechanism;
digital intelligence;
grassroots healthcare institution
- From:
Journal of Preventive Medicine
2026;38(8):859-864
- CountryChina
- Language:Chinese
-
Abstract:
Abstract:The accelerating population aging and the rejuvenation trend of chronic diseases in China have continuously aggravated the chronic disease burden, making chronic disease prevention and control increasingly essential. General practitioners are the core workforce for chronic disease prevention and control, and their training quality directly determines the performance of grassroots healthcare services. Digital intelligence, built on digital infrastructure, enables standardized data collection, analysis, and product transformation adapted to clinical scenarios. Leveraging artificial intelligence, big data, and machine learning, it mines high-value clinical and public health key information to support evidence-based medical decision-making and optimize the diagnosis, treatment, and management processes for chronic diseases. On the basis of the characteristics of chronic disease prevention and control talents in grassroots healthcare institutions and the background of digital intelligence development in the new era, this study systematically retrieves and reviews domestic and foreign research on the profile, training paths and digital intelligence-enabled teaching progress of grassroots medical talents engaged in chronic disease prevention and control. Focusing on the core challenges existing in current teaching and training for such talents, and combining practical experience in grassroots medical education, this study proposes a digital intelligence empowerment-oriented strategy to effectively align the supply of training resources with the actual demands of grassroots settings, so as to construct a context-adapted systematic training mechanism and optimized development path for chronic disease prevention and control talents in grassroots healthcare institutions.
- Full text:2026111214445385367数智化赋能基层医疗机构慢性病防治人才教学改革研究.pdf
