基于BERTopic模型的我国中医药老年康养政策量化研究
作者:
作者单位:

1.南京中医药大学卫生经济管理学院 南京 210046 ;2.江苏省智慧中医药健康服务工程研究中心 南京 210023

作者简介:

夏苏迪,博士,讲师,发表论文29篇;通信作者:谢靖。

通讯作者:

中图分类号:

R-058

基金项目:

江苏省中医药科技发展计划青年人才项目(项目编号:QN202307)


A Quantitative Study on Elderly Health Care and Recreation Policy of Traditional Chinese Medicine in China Based on BERTopic Model
Author:
Affiliation:

1.School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing 210046 , China ; 2.Jiangsu Province Intelligent Chinese Medicine Health Service Engineering Research Center, Nanjing 210023 , China

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    摘要:

    目的/意义 探索我国中医药老年康养领域政策主题,分析不同主题下政策工具的分布与协同性,为政策制定及优化提供参考。方法/过程 运用BERTopic模型,对2012—2025年429条中医药老年康养政策条目进行主题挖掘,统计不同主题下各类政策工具的数量,并通过数理统计计算其协同性。结果/结论 中医药老年康养政策领域涵盖12个主题,呈现不同发展趋势。政策工具分布不平衡、协同性较低,应拓展需求型政策工具的种类与应用范围、推进数智技术与政策细分领域的深度融合、加大中医药康养人才培养的政策支持力度、强化多元政策工具类型的合理配置与协同效应。

    Abstract:

    Purpose/Significance To explore the policy themes in the field of elderly health care and recreation with traditional Chinese medicine (TCM) in China, and to analyze the distribution and synergy of policy tools under different themes, so as to provide references for policy formulation and optimization. Method/Process Using the BERTopic model, topic mining is conducted on 429 policy items of TCM for elderly health care and recreation from 2012 to 2025. The number of various policy tools of different themes is counted, and their synergy is calculated through mathematical statistics. Result/Conclusion The policies of TCM for elderly health care and recreation cover 12 themes and show different development trends. The distribution of policy tools is unbalanced and their synergy is relatively low. It is necessary to expand the types and application scope of demand-oriented policy tools, promote the deep integration of digital and intelligent technologies with specific policy areas, increase policy support for the cultivation of talents in TCM health care and recreation, and strengthen the rational allocation and synergy effect of multiple types of policy tools.

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夏苏迪,谢靖,是沁,等.基于BERTopic模型的我国中医药老年康养政策量化研究[J].医学信息学杂志,2025,46(6):43-49

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  • 最后修改日期:2025-03-22
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  • 在线发布日期: 2025-07-17
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