Objective: To explore the effective ways of “smart supervision” on drug safety risks and promote the transformation and upgrading of drug supervision models. Methods: According to the data of drug test results and adverse reaction information, the quantitative evaluation system of drug quality was explored and established. The drug quality data analysis system was constructed on the basis of the drug quality database established in the early stage and the established drug quality quantitative evaluation system. The application of data analysis system in drug supervision was deeply developed from the functions of quality information report and quality risk information reminder, etc. Results and Conclusion: The quantitative evaluation system of drug quality could preliminarily finish the quantitative evaluation of each batch of drugs entering the drug quality database. The main functions of drug quality data analysis system included data storage service, data model service, data release service and data applications. Application of data analysis system in drug supervision mainly included the generation of drug quality information reports and drug quality risk information reminders. It could timely screen out the information of high-risk varieties, discover the problems, guide drug regulatory authorities to implement precisely targeted intervention, and make scientific sampling plans so as to provide technological support in practicing the concept of "smart drug supervision" for drug supervision departments.