在线医疗社区中医生特征与在线咨询量之间的关系研究
Study on the Relationships between Doctor Characteristics and Online Consultation Volume in the Online Medical Community.
作者信息
Chen Zhu, Song Qingli, Wang An, Xie Dong, Qi Huiying
机构信息
School of Nursing, Peking University, Beijing 100191, China.
School of Basic Medical Sciences, Peking University, Beijing 100191, China.
出版信息
Healthcare (Basel). 2022 Aug 16;10(8):1551. doi: 10.3390/healthcare10081551.
BACKGROUND
As a new medical service model, the online health community can integrate various medical resources to the maximum extent and improve the accessibility and utilization rate of hospital high-quality medical resources.
OBJECTIVE
Research based on the characteristics of doctors can enable doctors to display themselves on the network platform better, provide better services for patients, and improve the quality of medical services for doctors.
METHOD
By crawling the characteristic data of doctors in Good Doctor Online, using dynamic analysis, correlation analysis and regression analysis, this study explores the relationships between each characteristic data and online consultation volume.
RESULTS
The doctor's title and city level representing the static characteristics of the doctor have a weak impact on the doctor's online consultation volume, and the doctor's dynamic characteristics such as the number of patient completions, the number of gifts received, and the number of published articles can have a positive impact on the doctor's online consultation volume. However, the recommended heat will negatively affect the online consultation volume, and the comment text has no significant impact on the doctor's online consultation volume.
CONCLUSION
Therefore, doctors should actively publicize and show their professional level and constantly optimize their dynamic characteristics, increasing the number of online consultations and thus improving their influence.
背景
作为一种新型医疗服务模式，在线健康社区能够最大程度整合各类医疗资源，提高医院优质医疗资源的可及性与利用率。
目的
基于医生特征进行研究，可使医生在网络平台上更好地展示自我，为患者提供更优质服务，提升医生的医疗服务质量。
方法
通过爬取好大夫在线上医生的特征数据，运用动态分析、相关性分析及回归分析，本研究探究各特征数据与在线问诊量之间的关系。
结果
代表医生静态特征的职称和所在城市级别对医生在线问诊量影响较弱，而医生的动态特征如患者完成量、收到的礼物数量及发表文章数量等对医生在线问诊量有正向影响。然而，推荐热度会对在线问诊量产生负面影响，评论内容对医生在线问诊量无显著影响。
结论
因此，医生应积极宣传展示自身专业水平，不断优化动态特征，增加在线问诊量，从而提升自身影响力。
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