传统中药标准的数字化新形态  

New Digital Form of Traditional Chinese Medicine Standard

作　　者：王淑红 李君瑶 郭子瑜 王子骏 何轶 苏畅 谷丽菲 卢光明 王冰 马双成 WANG Shuhong;LI Junyao;CUO Ziyu;WANG Zijun;HE Yi;SU Chang;CU Lifei;LU Guangming;WANG Bing;MA Shuangchengg(Shenzhen Institute for Drug Control,Shenzhen 518057,China;NMPA Key 4.5*Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine,Shenzhen 518057,China;Harbin Institute of Technology,Shenzhen 518055,China;Chinese Pharmacopoeia Commission,Bejing 100061,China;State Key Laboratory of Drug Regulatory Science,Beijing 100061,China)

机构地区：[1]深圳市药品检验研究院,广东深圳518057 [2]国家药品监督管理局中药质量研究与评价重点实验室,广东深圳518057 [3]哈尔滨工业大学(深圳),广东深圳518055 [4]国家药典委员会,北京100061 [5]药品监管科学全国重点实验室,北京100061

出　　处：《中国药学杂志》2024年第24期2396-2406,共11页Chinese Pharmaceutical Journal

基　　金：国家科技部重点研发计划中医药现代化重点专项资助(2023YFC3504101);药品监管科学全国重点实验室第二批课题;广东省药品监督管理局科技创新项目资助(2022TDB11)。

摘　　要：目的数字时代下,中药标准数字化转型成为提升中药质量控制,推动产业高质量发展的必然趋势。方法笔者研究团队利用AI技术在图像识别分析、数据挖掘处理、模型预测及决策支持等方面的优势,开展传统中药标准的数字化转型。结果与结论尝试构建一种无人工干预的机器可读、可执行、可解析、可决策的中药标准数字化新形态,积极推动中药标准的数字化、网络化、智能化发展,服务标准数字化水平不断提高的国家战略目标。OBJECTIVE In the digital era,the digital transformation of traditional Chinese medicine standards has become an inevitable trend to improve the quality control of traditional Chinese medicine and promote the high-quality development of the industry.METHODS The research team has leveraged AI technology′s advantages in image recognition and analysis,data mining and processing,model prediction,and decision support to carry out the digital transformation of traditional Chinese medicine standards.RESULTS AND CONCLUSION They aim to construct a new form of traditional Chinese medicine digital standards that is machine-readable,executable,interpretable,and decision-capable without human intervention.This effort actively promotes the digitalization,networking,and intelligent development of traditional Chinese medicine standards,contributing to the national strategic goal of continuously improving the level of standard digitization.

关 键 词：中药数字标准 中药标准 数字化转型 新质生产力 数字技术 

分 类 号：R282[医药卫生—中药学]