摘要
基于医疗纠纷相关裁判文书数据,采用自然语言处理技术及统计学等知识抽取方法,从社会、医疗机构及患者层面分析四川省医疗纠纷事件的诱因、特点及规律,并提出防控和处理医疗纠纷的建议及对策,为构建和谐医患关系、平安医疗环境提供依据。
Based on the data of judgment documents related to medical disputes,the paper uses knowledge extraction strategies such as Natural Language Processing(NLP)technologies and statistical methods to analyze the causes,characteristics and rules of medical disputes in Sichuan Province from the perspectives of society,medical institutions and patients,and puts forward suggestions and countermeasures to prevent,control and handle medical disputes,so as to provide the basis for building a harmonious doctor-patient relationship and safe medical environment.
作者
刘忠禹
姚佳
俞思伟
郑子强
兰蓝
殷晋
LIU Zhongyu;YAO Jia;YU Siwei;ZHENG Ziqiang;LAN Lan;YIN Jin(West China Hospital,Sichuan University,Chengdu 610041,China;Guizhou Medical University,Guiyang 550004,China;Beijing Tiantan Hospital,Capital Medical University,Beijing 100050,China)
出处
《医学信息学杂志》
CAS
2022年第10期37-44,共8页
Journal of Medical Informatics
基金
四川省科学技术厅重大项目“政法干警健康保障系统研究”(项目编号:2020YFG0034)。
关键词
医疗纠纷
裁判文书
知识抽取
对策建议
medical disputes
judgement documents
knowledge extraction
suggestions and countermeasures