Treatment based on syndrome differentiation is the core diagnostic and therapeutic thinking of traditional Chinese medicine (TCM), which is the key to determine clinical efficacy. Nowadays, research based on clinical data is the main method to explore the law of TCM syndrome and treatment, but the internal relationship of the key factors of "disease-syndrome-formula-medicine-effect" has not been truly and comprehensively analyzed, resulting in low clinical value of research results. Therefore, the author systematically sorted out the core problems of poor matching between electronic medical record and clinical research, the effect of data governance on data accuracy, difficulties to discover the law of TCM syndrome and treatment by data analysis methods. In addition, in the context of data driven, the big data platform of TCM clinical research should be established, and the data governance and analysis technology with artificial intelligence as the core should be developed, so as to realize the integration of clinical practice and research, providing new ideas and methods for the research of the law of TCM syndrome and treatment and promoting the development of TCM.

辨证论治是中医核心诊疗思维，是决定临床疗效的关键。如今，基于临床数据研究是探索中医证治规律的主要方法，但未真正而全面地剖析出"病-证-方-药-效"关键因素的内在关系，导致研究结果的临床价值较低。因此，笔者系统梳理了电子病历与临床研究匹配性差、数据治理影响数据准确性、数据分析方法难以发掘中医证治规律等核心问题，并在数据驱动的背景下，建立中医临床科研大数据平台、开发以人工智能为核心的数据治理与分析技术，从而实现临床科研一体化，为中医证治规律研究提供新思路与方法，推动中医药的发展。