With the wide application of real world research in the field of traditional Chinese medicine (TCM), it is particularly important to fully understand the concept of TCM real world data and its characteristics, and the quality control of TCM real world data has also become a focus of research attention.In this paper, the key features of real world data in TCM and the currently faced data quality problems are sorted out in detail, and existing quality assessment dimensions, models and informative assessment tools are comprehensively reviewed, and the practical application effects and shortcomings of such tools are further explored.Based on the above analyses, the future development direction of real world data quality assessment methods for TCM is proposed.The aim of this paper is to put forward constructive suggestions to facilitate the establishment of a more comprehensive real world data quality assessment and control system for TCM, so as to improve the accuracy and reliability of TCM research and to ensure the scientificity and standardisation of TCM therapeutic methods.

traditional Chinese medicine  /  real world study  /  data quality  /  quality control