节点文献

数智中医全链条赋能基层重大慢病“防筛诊治管”:聚焦心脑血管与肿瘤研究(英文)

Smart traditional Chinese medicine empowers the whole chain of “prevention–screening–diagnosis–treatment–management” for major chronic diseases in primary healthcare: Research on cardiovascular–cerebrovascular diseases and tumors

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张晓雨尉建琳梁玉琪尤良震张玫商洪才

【Author】 Xiaoyu Zhang;Jianlin Wei;Yuqi Liang;Liangzhen You;Mei Zhang;Hongcai Shang;Institute of Clinical Basic Medicine of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences;School of Traditional Chinese Medicine, Binzhou Medical University;Key Laboratory of Chinese Internal Medicine of the Ministry of Education, Beijing University of Chinese Medicine;Key Laboratory of Smart TCM for Chronic Disease Prevention and Treatment, Dongzhimen Hospital, Beijing University of Chinese Medicine;School of Chinese Materia Medica, Beijing University of Chinese Medicine;Dongfang Hospital, Beijing University of Chinese Medicine;

【通讯作者】 商洪才;

【机构】 中国中医科学院中医临床基础医学研究所滨州医学院中医学院北京中医药大学,中医内科学教育部重点实验室北京中医药大学东直门医院,数智中医慢病防治北京市重点实验室北京中医药大学中药学院北京中医药大学东方医院

【摘要】 在数智技术与基层医疗融合及中医药数字化转型政策推动下,数智中医已成为提升基层重大慢病管理能力的核心战略。该文聚焦心脑血管疾病与肿瘤重大慢病,系统探讨了数智中医在基层管理中的应用现状、挑战及可行路径。研究表明,数智中医在慢病“防-筛-诊-治-管”全链条基层医疗服务中展现出新兴潜力。然而,当前仍面临数据孤岛与安全风险、算法模型与实际临床需求脱节,以及基层医护人员与老年患者数字素养薄弱等现实困境。为应对这些问题,该文提出应建设安全互通的区域数据平台、开发适配基层能力的轻量化智能设备与配套服务、统一技术与数据标准并完善质控体系、研发具有自适应性和动态更新能力的模型、开展跨学科人才培养与患者教育、强化政策引导与医保支付支持。总体而言,数智中医对提升基层医疗服务效能、构建创新的中医慢病全周期管理模式具有深远意义。

【Abstract】 Driven by policy initiatives promoting the integration of digital-intelligent technologies with primary healthcare and the digital transformation of traditional Chinese medicine(TCM), Smart TCM has emerged as a pivotal strategy for enhancing primary healthcare services for major chronic diseases. This paper reviews the current status, chal enges, and feasible pathways of Smart TCM in community-level management of cardiovascular–cerebrovascular diseases and tumors, which represent major chronic disease burdens. Our findings indicate that Smart TCM demonstrates emerging potential in primary healthcare for chronic diseases across the entire continuum of “prevention-screening-diagnosis-treatment-management.” However, several significant challenges persist, including data silos and security vulnerabilities, limited applicability of existing models to real-world clinical needs, and insufficient digital literacy among primary healthcare physicians and elderly patients. To address these constraints, this paper proposes a multidimensional strategy encompassing the development of secure and interoperable regional data platforms, lightweight intelligent devices and support services aligned with primary care capacity, unified technical and data standards with corresponding quality control systems, adaptive and dynamically updated artificial intelligent models, interdisciplinary workforce training and patient education programs, and enhanced policy and health insurance support. Overall, Smart TCM shows great promise for improving the efficiency of primary healthcare delivery and establishing innovative TCM-based chronic disease management paradigms.

【基金】 supported by the National Natural Science Foundation of China (82374627);the National Key R&D Program of China (2022YFC3502300);the Beijing Municipal Science and Technology Commission (Z241100007724010);the Fundamental Research Funds for the Central Public Welfare Research Institutes (ZZ17-YQ-034);the Training Program for Young Backbone Talents of Dongzhimen Hospital;Beijing University of Chinese Medicine (DZMG-QNGG003)
  • 【文献出处】 Science of Traditional Chinese Medicine ,中医药科学(英文) , 编辑部邮箱 ,2026年02期
  • 【分类号】R242
  • 【下载频次】22
节点文献中: 

本文链接的文献网络图示:

本文的引文网络