首页|期刊导航|中国卫生事业管理|数字时代的医患沟通:互联网医院互动模式如何塑造线下就医行为

数字时代的医患沟通:互联网医院互动模式如何塑造线下就医行为OA

Study on the Doctor-Patient Communication in the Digital Age from Shaping Offline Medical Behaviors by Internet Hospital Interaction Patterns

中文摘要英文摘要

目的:探讨互联网医院中医患互动模式对线上咨询向线下就诊转化行为的影响,并识别影响患者就诊决策的关键话语与情感特征,以期为优化线上医疗服务流程与医患沟通策略提供实证依据.方法:收集某三甲医院泌尿外科229 份真实线上问诊对话语料,并关联其线下就诊数据.借鉴医患关系情感维度分析框架,将互动模式分为父母型、消费型、同志型三类.采用卡方检验分析不同模式与线下就诊行为的关联,并运用 LASSO 逻辑回归模型量化识别影响就诊转化的关键语言特征.结果:不同医患互动模式下的患者线下就诊率存在显著差异(P<0.01).合作型父母模式(父母型Ⅰ类)的就诊转化率最高,不合作型父母模式(父母型Ⅱ类)最低.LASSO 回归模型筛选出"聊天数"(OR=15.57)与"父母型Ⅰ类"模式(OR=7.10)为最强的正向预测因素;而"医学实体词"数量(OR=0.19)与"父母型Ⅱ类"模式(OR=0.20)则为显著的负向预测因素.研究同时发现,信息密度(OR=1.48)与"聊天数"共同提示沟通质量与深度的重要性.结论:医患互动模式是影响患者从线上咨询转向线下就诊的关键因素.高质量的线上互动不仅依赖于沟通频次,更取决于互动模式的有效性与信息传递的精准度(即信息密度).研究提示,在互联网医院管理中,识别并引导建立合作型互动模式,同时培训医生提升沟通的针对性与效率,有助于提高患者的就医依从性,实现线上线下的有效衔接.

Objective To explore the impact of doctor-patient interaction patterns in internet hospitals on the conversion from online consultation to offline medical visits,and identify the key discourse and emotional characteristics influencing patients'deci-sion to seek offline care,thereby providing empirical evidence for optimizing online healthcare service processes and doctor-pa-tient communication strategies.Methods 229 real online consultation dialogues were collected from the urology department of a ter-tiary hospital,and linked with offline visit records.Drawing on an analytical framework of emotional dimensions in doctor-patient relationships,interaction patterns were classified into three types of parental,consumer and comrade.Chi-square test was used to analyze the association among different patterns and offline visit behavior,and LASSO logistic regression was employed to quan-tify and identify the key linguistic features influencing visit conversion.Results Significant differences were observed in offline visit rates across different doctor-patient interaction patterns(P<0.01).The cooperative parental pattern(Parental Type I)showed the highest conversion rate,while the uncooperative parental pattern(Parental Type II)had the lowest.LASSO regression identi-fied the"number of chat turns"(OR=15.57)and the Parental Type I pattern(OR=7.10)as the strongest positive predictors,whereas the count of"medical entity terms"(OR=0.19)and the Parental Type II pattern(OR=0.20)were significantly nega-tive predictors.And the information density(OR=1.48),together with"number of chat turns"highlighted the importance of communication quality and depth.Conclusion Doctor-patient interaction patterns are key factors influencing patients'transition from online consultation to offline visits.High-quality online interaction depends not only on communication frequency but also on the effectiveness of the interaction pattern and the precision of information delivery(i.e.,information density).The findings suggest that in internet hospital management,identifying and guiding the establishment of cooperative interaction patterns,along with training doctors to enhance targeted and efficient communication,can improve the patients'compliance and achieve effective integration of online and offline healthcare services.

徐若昕;金盾;王晓欣;朱小娇;刘静

汕头大学医学院附属粤北人民医院,广东 韶关 512026||汕头大学医学院汕头大学医学院附属粤北人民医院,广东 韶关 512026汕头大学医学院附属粤北人民医院,广东 韶关 512026汕头大学医学院附属粤北人民医院,广东 韶关 512026汕头大学医学院附属粤北人民医院,广东 韶关 512026

医药卫生

互联网医疗医患沟通模式就诊转化率语料分析LASSO回归

Internet hospitaldoctor-patient communication patternsvisit conversion ratecorpus analysisLASSO regression

《中国卫生事业管理》 2026 (7)

755-761,7

国家自然科学基金面上项目"紧密型县域医共体价值可见性形成机制与绩效提升策略研究"(72574133)河南省现代医院管理研究中心"2026年度问鼎·河南现代医管研究项目"(HNWD-2026-05A)广东省自然科学基金委员会面上项目"多层次价值共创视域下紧密型县域医共体价值可见性影响机制及绩效策略优化研究"(2026A1515011423)

评论