Exploration and Application of Big Data and AI Technology in Intelligent Drug Supervision in Jiangxi Province
Objective:To deeply analyze the application of big data and AI technology in drug smart supervision in Jiangxi Province,identify existing problems,and propose improvement measures to improve the efficiency of drug supervision and the medication safety of the public.Methods:Through the detailed analysis of the relevant policies of the country and Jiangxi Province,the current situation of smart drug supervision in Jiangxi Province was investigated,and the practical application of big data and AI technology in the field of drug supervision was comprehensively discussed.Results&Conclusion:Big data and AI technology have been applied in drug supervi-sion in Jiangxi Province,but there are still some problems such as information island,shortage of regulatory resources and slow techno-logical update.Therefore,this study believes that a big data platform for smart supervision of pharmacies should be built,advanced tech-nologies such as big data,cloud computing and e-government network should be utilized,and AI methods such as YOLO algorithm model and Level large model should be introduced to enhance the scientific,accurate and overall efficiency of drug supervision.This study provides theoretical support for the modernization of drug supervision in Jiangxi Province,and also contributes practical experience and reference for the future development direction of smart drug supervision across the country.Through the integration of big data and AI technology,the current challenges facing drug regulation can be effectively solved,thereby improving the level of supervision and ensur-ing the safety of drugs for the public.
Drug supervisionInformation islandRegulatory resourcesBig data technologyInformationization
NETL
NSTL
万方数据
