Objective To identify the features of outpatients visiting the online GP clinics and compare the data with outpatients in offline clinic visits, for reference of outlining the service boundaries of online outpatient services. Methods Data were collected from the online outpatient clinic of the First Affiliated Hospital of Zhejiang University between February 2016 and February 2017. The data usage was descriptive statistical analysis of the basic information and disease information of the patients. Results An analysis of the 715 online general practice consultations found the following proportions: diseases of the digestive system(11.3%), that of urinary system(7.7%), that of endocrine system(7.1%), that of respiratory system(6.9% )and that of circulatory system(4.6% ). Among the 5 796 offline consultations, the proportions were as follows:diseases of the digestive system(27.4% ), that of endocrine system(15.5% ), that of respiratory system(10.2%), that of urinary system(5.8%) and that of musculoskeletal system (5.4% ). 563 online outpatients ( 78.7% ) and 4 716 offline outpatients ( 81.4% ) were diagnosed respectively, while 152 online and 1 080 offline outpatients were medically unexplained physical symptoms. The comparison of the two groups lacked significant differences. Conclusions Characteristics of online outpatients look similar to offline ones, while the former facilitates appointment-based laboratory and imaging examination, health consultation and follow-up of chronic diseases.%目的 了解互联网医院全科门诊就诊患者患病特点,并与线下门诊就诊情况进行对比分析,为明确网络门诊诊疗范畴提供依据.方法 回顾2016年2月至2017年2月浙江大学医学院附属第一医院互联网医院全科门诊及线下全科门诊的就诊资料,收集患者基本情况及所患疾病的病种,进行描述性统计学分析.结果 互联网医院全科门诊就诊715人次,以消化系统(11.3% )、泌尿系统(7.7% )、内分泌系统(7.1% )、呼吸系统(6.9% )、循环系统(4.6% )疾病为主.线下门诊就诊5 796人次,以消化系统(27.4% )、内分泌系统(15.5% )、呼吸系统(10.2% )、泌尿系统(5.8% )、骨骼肌肉系统(5.4% )疾病为主.线上门诊确诊疾病563人次(78.7% ),未分化疾病152人次(21.3% );线下门诊确诊疾病4 716人次(81.4% ),未分化疾病1 080人次(18.6% ),两组比较差异无统计学意义.结论 线上门诊就诊患者特点与线下门诊基本相似,但更适宜进行预约检查、健康咨询、慢性病随访等医疗服务.
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