Study and Practice on Intelligent Classification of Medical Safety Incidents Based on BERT Model

VernacularTitle:基于BERT模型的医疗安全事件智能分类研究与实践
Author: Congpu ZHAO ¹ ; Da YUAN ; Pujue ZHU ; Jiong ZHOU ; Zheng CHEN ; Hua PENG
Author Information

1. 中国医学科学院北京协和医院北京 100730
Keywords: medical safety incidents; BERT; deep learning; intelligent classification
From: Journal of Medical Informatics 2024;45(1):27-32,38
CountryChina
Language:Chinese
Abstract: Purpose/Significance To improve the classification and evaluation mode of medical safety incidents,and to improve work efficiency and timeliness.Method/Process The data of previous medical safety incidents are pre-processed,BERT model is used for training,testing and iterative optimization,and an intelligent classification and prediction model for medical safety incidents is built.Re-sult/Conclusion The model is used to classify 466 medical safety incidents reported by clinical departments from January to November 2022,and F1 value reaches 0.66.The application of BERT model in the classification and evaluation of medical safety incidents can im-prove work efficiency and timeliness,and help timely intervene in medical safety risks.