中国医学的复杂系统证据:一个四阶段证据框架
Xuxu Wei1,2, Xinyu Yang3, Xiaoyu Zhang4
1Beijing University of Chinese Medicine, Beijing, China.
Journal of evidence-based medicine
|March 11, 2026
概括
本研究介绍了传统中国医学 (TCM) 的复杂系统证据框架. 它通过整合定性和定量方法来改善决策和研究,弥合了证据生成和临床应用之间的差距.
科学领域:
- 系统科学 系统科学
- 人工智能的人工智能
- 传统中国医学 (TCM) 研究研究
背景情况:
- 在传统中医药 (TCM) 中,证据生成和临床应用之间存在持续的差距.
- 现有的框架难以适应TCM的整体视角和基于模式的诊断/治疗.
- 徐森关于开放复杂巨型系统 (OCGS) 的理论为一种新方法提供了基础.
研究的目的:
- 推进一个针对中国传统医学 (TCM) 量身定制的复杂系统证据框架.
- 整合定性和定量方法来生成证据和临床使用.
- 提高临床决策质量,加快TCM的翻译研究.
主要方法:
- 利用了徐森关于开放复杂巨型系统 (OCGS) 和定性到定量转合成的理论.
- 开发了一个四个阶段的证据循环:生产,差异化,应用和验证.
- 综合系统科学,人工智能和相关学科用于证据协调.
主要成果:
- 该框架将多个来源的证据组织成一个标准化的生产,综合评估,个性化应用和反驱动的验证循环.
- 它将临床表型,途径和结果联系在一起,形成一个连贯的证据链.
- 该框架促进了宏观层面的有效性评估,与微观层面的机制性调查保持一致.
结论:
- 拟议的框架解决了TCM的独特特征,改善了临床决策和翻译研究.
- 它为复杂的人类系统中的复杂干预提供了一个可通用的模型.
- 这种方法将TCM研究置于现代化和国际科学对话的位置.
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