互联网视频问诊服务结果及影响因素研究  

Study on the Outcomes and Influencing Factors of Internet-based Video Medical Consultation Services

作　　者：查雨洁 郭力宁 黄彩娜 罗仁杰 刘雨鑫 Zha Yujie;Guo Lining;Huang Caina(School of Medicine and Health Management,Tongji Medical College of Huazhong University of Science&Technology,Wuhan,Hubei,430030,China;不详)

机构地区：[1]华中科技大学同济医学院医药卫生管理学院,湖北武汉430030

出　　处：《中国医院管理》2025年第5期17-21,共5页Chinese Hospital Management

基　　金：国家自然科学基金项目(72274069);中央高校基本科研业务费专项资金资助项目(32400047)。

摘　　要：目的基于问诊实践结果系统评估远程视频问诊服务结果,识别影响结果的关键因素,为优化视频问诊服务结果提供实证依据。方法招募全国范围内201名有视频问诊需求的患者参与视频问诊实践,客观记录诊疗服务结果,并采用层级回归检验视频问诊服务结果的影响因素。结果在参与视频问诊实践的201名患者中,62名(30.84%)患者可实现有效诊疗,139名(69.16%)患者诊疗效果未达到预期效果。层级回归结果显示:疾病类别、医生职称、辅助诊断信息和协助人员对视频问诊服务结果均有明显影响(P<0.05)。作出诊断的医生职称越高、患者提供的辅助诊断信息越丰富、有协助人员帮助,视频问诊服务结果越符合预期。结论视频问诊服务结果存在明显差异,主要受协助人员、医生职称、辅助诊断信息、疾病类别4个因素影响,建议引入人工智能大模型进行预分诊、在基层医疗卫生机构设置标准化视频诊室并配置协作人员、构建区域内患者信息共享平台,以提高患者就诊时的满意度,推动视频问诊的进一步发展和优化。Objective Based on clinical consultation practices,it systematically evaluates the outcomes of remote video consultation services,identifies key factors influencing these outcomes,and provides empirical evidence for optimizing telemedicine services.Methods It recruited 201 patients nationwide requiring video consultations,objectively recorded diagnostic outcomes,and analyzed influencing factors using hierarchical regression.Results Among the 201 participants,62(30.84%)achieved effective diagnosis and treatment,while 139(69.16%)did not meet expected outcomes.Hierarchical regression results revealed that disease category,physician title,availability of auxiliary diagnostic information,and presence of assisting personnel significantly impacted consultation outcomes(P<0.05).Higher physician titles,richer auxiliary diagnostic information provided by patients,and involvement of assisting personnel correlated with better alignment of outcomes with expectations.Conclusion Significant variations in video consultation outcomes were observed,primarily influenced by assisting personnel,physician qualifications,auxiliary diagnostic information and disease category.It is suggested to introduce a large artificial intelligence model for pre-triage,set up standardized video consulting rooms in primary medical and health institutions and configure collaborative personnel,and build a regional patient information sharing platform,so as to improve patient satisfaction during treatment and promote the further development and optimization of video consultation.

关 键 词：互联网 视频问诊 服务结果 影响因素 

分 类 号：R197.323.1[医药卫生—卫生事业管理]