禄莎月, 朱垚, 田茂祥, 陆明. 中医临床辅助决策系统评价现状与趋势. 2026. biomedRxiv.202610.00046
中医临床辅助决策系统评价现状与趋势
通讯作者: 朱垚, zhongyiyaochuanren@126.com
DOI:10.12201/bmr.202610.00046
Evaluation of Traditional Chinese Medicine Clinical Decision Support Systems: Current Status and Future Perspectives
Corresponding author: ZHU YAO, zhongyiyaochuanren@126.com
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摘要:目的/意义 系统梳理临床辅助决策系统(clinical decision support system,CDSS)的评价内容、方法,重点分析中医临床辅助决策系统(traditional Chinese medicine clinical decision support system,TCMCDSS)的评价现状与发展趋势,明确其评价重点、现存不足及中医特色评价需求,为后续TCMCDSS评价研究设计、临床验证及规范化应用提供参考。 方法/过程 采用文献综述与主题归纳方法,检索中英文数据库,从评价内容、研究方法和评价层级等方面梳理CDSS评价研究,并结合代表性TCMCDSS研究分析其中医特色评价内容及发展趋势。结果/结论 CDSS评价已由单一模型性能验证拓展至知识质量、系统可用性、临床决策、患者结局、实施效果、经济学及安全、伦理与监管等多维评价。TCMCDSS评价仍以模型与知识层为主,未来应在通用框架基础上重点关注四诊信息质量、辨证与病机判断、“症、机、法、方、药”逻辑一致性、方药安全性及临床解释性,并加强真实世界和全生命周期评价。
Abstract: Objective To systematically review the evaluation domains and methods of clinical decision support systems (CDSS), with particular emphasis on the current status and development trends of traditional Chinese medicine clinical decision support systems (TCMCDSS), and to clarify their key evaluation priorities, existing limitations, and TCM-specific evaluation requirements, thereby providing a reference for future TCMCDSS evaluation design, clinical validation, and standardized application.Methods A literature review and thematic synthesis were conducted by searching Chinese- and English-language databases. CDSS evaluation studies were summarized in terms of evaluation domains, research methods, and evaluation levels, and representative TCMCDSS studies were further analyzed to identify TCM-specific evaluation features and development trends. Results/Conclusion CDSS evaluation has expanded from single-model performance validation to multidimensional assessment encompassing knowledge quality, system usability, clinical decision-making, patient outcomes, implementation effectiveness, health economics, and safety, ethics, and regulatory considerations. Current TCMCDSS evaluations remain predominantly focused on the model and knowledge levels. Future evaluation should build on general CDSS evaluation frameworks while placing greater emphasis on the quality of information from the four examinations, syndrome differentiation and pathogenesis assessment, logical consistency across the “symptom–pathogenesis–therapeutic principle–formula–herb” chain, prescription safety, and clinical interpretability. Real-world and lifecycle evaluation should also be strengthened.
Key words: Clinical decision support system; Traditional Chinese medicine clinical decision support system; Syndrome differentiation; Evaluation; Artificial intelligence提交时间:2026-10-19
版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。 -
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序号 提交日期 编号 操作 1 2026-06-25 10.12201/bmr.202610.00046V1
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