基于信息生态理论的数字化药物警戒生态体系构建研究OA
Study on the Construction of A Digital Pharmacovigilance Ecosystem Based on Information Ecology Theory
目的 基于信息生态理论构建数字化药物警戒生态体系.方法 检索中国知网、PubMed、EBSCO数据库收录的数字化药物警戒相关文献,提出人工智能、大语言模型、数字孪生、大数据、云计算赋能药物警戒应用路径,并总结国外药物警戒数字技术应用的先进经验.结果与结论 人工智能、数字孪生等数字技术发展迅猛,已成为推动药物警戒体系改革的关键力量.数字技术通过赋能药物警戒各个环节,显著提升了药物安全监测的效率和精准性,为高效执行药物警戒提供了有力支撑.在信息生态理论视域下构建以药物警戒信息平台、数字技术、责任主体和社会环境为四大核心要素的数字化药物警戒生态体系,用信息链串联产业链、风险链、责任链,提升药物警戒预见性、靶向性与时效性,可提高药物警戒管理效率和质量,保障患者用药安全.
Objective To construct a digital pharmacovigilance ecosystem based on information ecology theory.Methods Relevant literatures on digital pharmacovigilance were retrieved from CNKI,PubMed,and EBSCO databases,The application paths for artificial intelligence,large language models,digital twins,big data,and cloud computing in pharmacovigilance were proposed,and summarized the advanced experiences of digital technology application in pharmacovigilance in foreign countries.Results and Conclusion Various digital technologies such as artificial intelligence and digital twins are developing rapidly and have become a key driving force for the reform of the pharmacovigilance system.By empowering all links of pharmacovigilance,digital technologies have significantly improved the efficiency and accuracy of drug safety monitoring,providing strong support for the efficient implementation of pharmacovigilance.From the perspective of information ecology theory,a digital pharmacovigilance ecosystem with four core elements:pharmacovigilance information platform,digital technology,responsible subject,and social environment are constructed.The information chain is used to connect the industrial chain,risk chain,and responsibility chain,which can enhance the predictability,targeting,and timeliness of pharmacovigilance,improve the efficiency and quality of pharmacovigilance management,and ensure the safety of patients'medication use.
茅鸯对;王广平
浙江药科职业大学,浙江 宁波 315100上海市药品和医疗器械不良反应监测中心,上海 200040
医药卫生
信息生态理论药物警戒药品不良反应数字化生态体系
information ecology theorypharmacovigilanceadverse drug reactiondigitalizationecosystem
《中国药业》 2026 (2)
1-6,6
浙江省哲学社会科学规划课题[23NDJC446YBM]浙江省社会科学界联合会研究课题[2024B077]浙江省药品监督管理局科技计划项目[2025034]国家药品监督管理局药品评价中心专项研究项目[CDR2024R01004].
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