基于人工智能的医患沟通共情语言教学与评价系统的开发与应用研究  

Development and Application of an AI-based Empathic Language Teaching and Evaluation System for Doctor-patient Communication

作　　者：邵建文 刘欢[2] 张玥[1] 郑爱明[1] 陈松宇 王锦帆[1] SHAO Jianwen;LIU Huan;ZHANG Yue;ZHENG Aiming;CHEN Songyu;WANG Jinfan(Research Center for Doctor Patient Communication,Nanjing Medical University,Nanjing 211166,China;School of Humanities,Peking Union Medical College,Beijing 100730,China;Jiangsu Blokrypton Chain Data Technology Co.,LTD,Nanjing 210014,China)

机构地区：[1]南京医科大学医患沟通研究中心,江苏省南京市211166 [2]北京协和医学院人文和社会科学学院,北京市100730 [3]江苏布洛氪链数据科技有限公司,江苏省南京市210014

出　　处：《中国全科医学》2024年第34期4315-4321,共7页Chinese General Practice

基　　金：南京医科大学2021年一流本科课程虚拟仿真实验教学类立项课题。

摘　　要：背景新医科建设背景下,教育部鼓励信息技术与医学教育深度融合,培养一流医学人才服务健康中国建设,目前医患沟通共情能力教学多以模拟沟通、小组讨论形式为主,依托人工智能技术开展教学较少。目的探索构建可以用于课程教学的医患沟通共情语言教学与评价系统,为今后医患沟通共情教学提供新的方向;开展教学应用,提高医学生、医生沟通共情语言表达能力,并收集反馈用于系统的优化改善。方法2021年9月-2022年2月课题组基于讯飞语音识别技术和共情语义识别算法,应用课题组研制的10个医患沟通典型案例、示范共情语言、共情语言语义库、共情语言技能及其整体评分标准等进行系统“医患沟通共情语言虚拟仿真教学与评价系统”(以下简称系统)的开发;2022年3-5月选取南京医科大学参与医患沟通学课程或培训的950名学生(包括515名本科生、102名医学博士生和333名临床医生)为研究对象,基于本系统开展南京医科大学《医患沟通学》技能课(2学时)的教学试验。采用自拟调查问卷收集研究对象的共情语言内涵掌握程度、共情语言能力增强程度、系统便捷性认知程度、系统融入教学合理性认知程度等,并采用NVivo软件对研究对象的反馈意见和建议进行词频分析。结果应用系统后,本科生、临床医生、医学博士生的共情语言内涵掌握程度、共情语言能力增强程度、系统便捷性认知程度、系统融入教学合理性认知程度比较,差异有统计学意义(P<0.05),其中76.1%(723/950)的研究对象的共情语言内涵掌握程度评价结果为“完全掌握”或“掌握程度较高”;93.8%(891/950)的研究对象表明本系统可“显著增强”或“有些增强”共情语言能力,89.5%(850/950)的研究对象对该系统便捷性认知程度的评价为“非常便捷”或“比较便捷”;95.1%(903/950)的研究对象对该系统融入教学�Background Under the background of new medical science,the deep integration of information technology and medical education is encouraged to train first-class medical talents to serve the construction of healthy China.Currently,empathy training in doctor-patient communication mainly consists of simulated communication and group discussion,with less reliance on artificial intelligence technology for learning.Objective To develop a system for teaching and evaluating doctor-patient communication empathy language.This system will be used in course teaching to pave the way for future doctor-patient communication empathy teaching methods.Carry out teaching applications to enhance the communication and empathy language expression skills of medical students and doctors,and gather feedback to optimize and improve the system.Methods Between September 2021 and February 2022,the research group focus on utilizing iFlytek speech recognition technology and the empathy semantic recognition algorithm.A system called the"Doctor-patient Communication Virtual Simulation Teaching and Evaluation System of empathic language"was developed using 10 typical cases of doctor-patient communication,demonstrations of empathic language,a semantic database of empathic language,empathic language skills,and an overall scoring standard.A total of 950 students from Nanjing Medical University,including 515 undergraduates,102 medical doctoral students,and 333 clinicians participating in doctor-patient communication courses or training,were selected as the research subjects from March to May 2022.Based on this system,the Doctor-patient Communication Skills Course(2 class hours)teaching experiment was conducted at Nanjing Medical University.A self-designed questionnaire was used to gather information on the subjects'understanding of empathetic language connotations,their improved empathetic language skills,their perception of system ease of use,and their perception of how the system integrates into the rationality of teaching.NVivo software was used to

关 键 词：人工智能 医患沟通 共情语言 教学评价 

分 类 号：R-05[医药卫生]