大数据和AI技术在江西省药品智慧监管中的探索和应用  

Exploration and Application of Big Data and AI Technology in Intelligent Drug Supervision in Jiangxi Province

作　　者：徐仁恩 熊海燕 宋东杰 饶龙 XU Renen;XIONG Haiyan;SONG Dongjie;RAO Long(Jiangxi Medical Products Administration,Jiangxi Nanchang 330000,China)

机构地区：[1]江西省药品监督管理局,江西南昌330000

出　　处：《中国医药导刊》2024年第7期637-642,共6页Chinese Journal of Medicinal Guide

摘　　要：目的:深入剖析大数据与AI技术在江西省药品智慧监管中的应用情况,分析存在的问题,并提出改进措施,以提升药品监管效率和公众用药的安全性。方法:通过详细分析国家和江西省内的相关政策,总结江西省药品智慧监管现状,全面探讨了大数据与AI技术在药品监管领域的实际应用。结果及结论:大数据和AI技术已在江西省药品监管中有所应用,但仍存在信息孤岛、监管资源短缺和技术更新缓慢等问题。为此,本研究认为应构建药店智慧监管大数据平台,利用大数据、云计算、电子政务网络等先进技术,并引入YOLO算法模型和Level大模型等AI手段,以增强药品监管的科学性、精确性和整体效率。本研究为江西省药品监管的现代化提供了理论支撑,同时也为全国范围内的药品智慧监管贡献了实践经验和未来发展方向的参考。通过整合大数据和AI技术,可有效解决当前药品监管面临的挑战,从而提升监管水平,确保公众用药安全。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.

关 键 词：药品监管 信息孤岛 监管资源 大数据技术 信息化 

分 类 号：R95[医药卫生—药学]