在目前临床中医疗效评价过程中，存在四诊信息缺乏科学证据、患者个体化信息利用不充分等不足，疗效评价文献中鲜少提及处理证候信息的方法学的总结。为了更加客观、全面地处理临床信息，合理评价中医临床疗效，方便临床处理证候信息，本文介绍了真实世界中医疗效评价信息处理方法研究的背景、分类及优劣等内容，重点介绍了其分类，包括量化与降维和预测两个方面，前者包括量表法、中医诊断仪器参数评估、数据包络分析法、倾向性评分法、模糊数学模型以及处方相似度模型等内容，后者包括多水平统计模型、GEE模型及马尔可夫模型等内容，本文特点为从疗效评价中间环节入手，介绍临床中常用的信息处理方法，目的在于简化、明确评价对象，方便中医临床疗效评价工作。

In the process of current clinical efficacy evaluation of traditional Chinese medicine, there are four diagnostic information lack of scientific evidence, patients with individualized information using deficiencies. For example the inadequate efficacy evaluation is rarely mentioned in literature methodology to process syndrome. In order to deal with clinical information more objectively and comprehensively, The clinical curative effect of traditional Chinese medicine should be evaluated reasonably, so as to facilitate the clinical treatment of syndromes. This article describes the background, classifications, advantages and disadvantages of traditional Chinese medicine therapeutic evaluation information of processing method in the real word. Mainly introduced the classifications, include quantification and forecast. The former includes the scaling method, scaling method by TCM diagnosis instrument, Data Envelopment Analysis, Propensity score method, Fuzzy Mathematics Calculation Model and Prescription similarity model. The latter includes the multilevel statistical models, Generalized Linear Model and Markov model. In this paper, we introduce the common information processing methods in clinical practice, and the purpose is to simplify and clarify the evaluation objects so as to facilitate the evaluation of TCM clinical efficacy.

国家自然科学基金委员会面上项目（81273999）：基于个体化临床信息利用的ARDS中医疗效评价方法研究，负责人：刘恩顺。