Research on an Intelligent Auxiliary Evaluation Tool for Adverse Drug Reaction Reports
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.
adverse drug reaction reportauxiliary evaluation toolrule-driven modelnatural language processingintelligence
万方数据
维普
