Objective:With the increasing number of adverse drug reaction(ADR)reports,the workload for monitoring institutions continues to rise.In order to improve the efficiency and quality of ADR report evaluations,this study explores an intelligent auxiliary evaluation tool based on the pharmacovigilance and risk control platform of Guangdong Province.Methods:A common basic database for ADR reports was established,utilizing rule-driven models and natural language processing techniques to extract,match,and analyze the report content.This enables one-click generation of verification results and suggestions for supplementary material,assisting monitoring personnel in completing evaluations.Results:Based on the common basic database,a number of rule-driven models were constructed,and the functional framework and interface of the intelligent auxiliary evaluation tool were designed.Conclusion:The tool developed in this study can improve the efficiency and quality of ADR report evaluations,promoting the intelligent upgrading of ADR monitoring processes.
关键词
药品不良反应报告/辅助评价工具/规则驱动模型/自然语言处理/智能化
Key words
adverse drug reaction report/auxiliary evaluation tool/rule-driven model/natural language processing/intelligence
维普
万方数据