基于定序回归的医生预约火爆程度的影响因素分析

An Analysis of Factors Influencing the Popularity of Doctor’s Appointment Based on Sequential Regression

摘要: 近年来，随着信息技术和互联网的火速发展，传统医疗模式正在向“互联网 + 医疗健康”转型，在线问诊、网络预约等医疗服务也逐渐普及。为提高患者看病时医生预约成功率，本文采集500条医生在线诊断的相关数据，共选取了11个影响医生预约火爆程度的解释变量，即：专家团队、职称、所属科室、挂号支持、图文问诊费用、视话问诊费用、在线问诊评价数、医院就诊评价数、评分、问诊量、关注数，运用定序回归建立医生预约火爆程度模型，探究不同因素对医生预约火爆程度的影响大小。最后研究结果表明：患者一旦预约“图文问诊费用偏低、医院就诊评价数较高、关注数较多”的医生，就会发现该医生的预约量较大，预约火爆程度偏高，预约成功率偏低。

Abstract: In recent years, with the rapid development of information technology and the Internet, the traditional medical model is transforming to “Internet + medical and health”, and medical services such as online consultation and online appointment are gradually popularized. In order to improve the success rate of doctor’s appointment when patients see a doctor, 500 data related to doctor’s online diagnosis were collected in this paper, and 11 explanatory variables affecting the popularity of doctor’s appointment were selected, namely: expert team, professional title, department, registration support, graphic consultation cost, visual consultation cost, online consultation evaluation number, hospital treatment evaluation number, score, consultation volume, attention number. Sequential regression was used to establish the doctor’s appointment popularity model to explore the influence of different factors on the doctor’s appointment popularity. Finally, the results show that once patients make an appointment with a doctor with “low cost of graphic consultation, high evaluation number of hospital visits and high number of attention”, they will find that the doctor has a large amount of appointment, a high degree of appointment popularity and a low success rate of appointment.