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新形势下药品生产智能风险预警模型的实践探索与思考

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新形势下药品生产企业发展迅速,传统的监管模式无法完全满足药品生产科学监管需求,通过创新监管方式来有效解决现行监管模式存在的不足成为一项比较急迫的工作。本文重点分析了药品生产监管的现状,探索和思考了在药品智慧监管一体化技术框架下建立药品生产智能风险预警模型,通过大数据分析和人工智能技术结合,实时监测、预警和预测潜在的风险问题,提升风险预警研判和数据共享能力,提高药品生产监管效能,促进产业升级和高质量发展。
Implementation exploration and reflection of intelligent risk warning model for drug production in the new situation
In the new situation,drug manufacturing enterprises are developing rapidly,and the traditional supervision mode can not meet the needs of drug production completely.In this paper,the current situation of drug production quality supervision is analyzed,and the intelligent risk early-warning model of drug production is established under the framework of the integrated technology of drug intelligent supervision,through the combination of big data analysis and artificial intelligence technology,real-time monitoring,early warning and prediction of potential risk problems,to enhance the capacity of risk early warning research and data sharing,and to improve the capacity of drug production quality supervision,we will promote industrial upgrading and innovative ways of development.

Big data applicationsSmart regulationDrug production supervisionEarly warning modelsData analysis

王君、刘锜、胡楠

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山东省市场监管监测中心,山东 济南 250014

山东省食品药品检验研究院,山东 济南 250101

大数据应用 智慧监管 药品生产监管 预警模型 数据分析

2024

药学研究
山东省药品检验所 山东省药学会

药学研究

CSTPCD
影响因子:0.653
ISSN:2095-5375
年,卷(期):2024.43(8)