ABSTRACT
Multiple methods should be incorporated into the research on pharmacovigilance of traditional Chinese medicine(TCM for a comprehensive and objective evaluation. The arrival of the era of medical big data allows it to be deeply integrated into medical research. The real world study(RWS) represented by hospital information system(HIS) provides a data basis for exploring the pharmacovigilance of TCM. Prescription sequence analysis(PSA) and prescription sequence symmetry analysis(PSSA) developed based on the former serve as a methodological basis for clinical safety evaluation of Chinese patent medicines after marketing. By collating the related studies of HIS, PSA and PSSA and employing the propensity score matching( PSM) method and nested case-control study(NCCS), this paper formed a HIS-, PSA-and PSSA-based technical system for clinical safety evaluation of Chinese patent medicines in the real world, in order to provide a methodological demonstration for the future research on the pharmacovigilance of TCM.