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在线私人医生评论的数据挖掘

Data Mining of the Reviews from Online Private Doctors.

作者信息

Liu Jingfang, Zhang Wei, Jiang Xiaoyan, Zhou Yingyi

机构信息

School of Management, Shanghai University, Shanghai, China.

School of Management, Tongji University, Shanghai, China.

出版信息

Telemed J E Health. 2020 Sep;26(9):1157-1166. doi: 10.1089/tmj.2019.0159. Epub 2019 Nov 1.

Abstract

User-generated content shared in the online health communities (OHCs) is becoming a valuable resource for researchers to understand patients' decision-making behaviors in the management of their health. Many studies have focused on how to obtain useful information from online reviews in OHCs. This study focuses on a telemedicine service called Online Private Doctor (OPD), which is offered by a leading Chinese physician review website (PRW). OPD reviews have not received much attention. By data mining the reviews, our goal is to determine what patients are talking about when they use the OPD service and whether they are satisfied with the service or not. We used a Python web crawler to collect 41,029 reviews and 84,510 short reviews (labels) of all 5,645 physicians who offered the OPD service on a PRW (haodf.com) in China. Mixed methods (i.e., a literature review, topic discovery, annotation, and a sentiment analysis) were used to determine the information that the OPD reviews are meant to express. We discovered that the OPD reviews can be categorized into four subjects: competence (35.1%), communication (29.4%), treatment (26.0%), and convenience (9.5%). In terms of previously discovered topics, we found that competence, communication, and treatment have been discussed before, but convenience is an emerging subject. The sentiment analysis indicated that 93.67% of the reviews indicated positive emotions, and the area under the receiver operating characteristic (ROC) curve is 0.64. Furthermore, the labels indicated that only 0.72% (603/84,570) of reviews were negative toward the OPD service. The subjects of the labels were distributed according to competence (34.7%), communication (23.8%), treatment (33.5%), and convenience (8.0%). The findings of our study suggest that patients who ever used OPD have been quite satisfied with the service. From their reviews, we discovered that OPD has its special characteristics and is convenient. However, it still has some shortcomings, for example, the quality of the phone connection. In terms of both the platform and the doctors, more efforts should be made to make the OPD better and more regulated. OPD is an emerging telemedicine service that still needs more time and space to evolve. For patients, it helps reduce problems such as scheduling and queuing. Therefore, it brings more convenience to people's daily lives. In the future, more attention should be paid to this service, as it is helpful in reducing the uneven distribution of medical resources.

摘要

在线健康社区(OHCs)中分享的用户生成内容正成为研究人员了解患者健康管理决策行为的宝贵资源。许多研究都集中在如何从OHCs的在线评论中获取有用信息。本研究聚焦于一项名为在线私人医生(OPD)的远程医疗服务,该服务由中国一家领先的医生点评网站(PRW)提供。OPD评论尚未受到太多关注。通过对评论进行数据挖掘,我们的目标是确定患者在使用OPD服务时谈论的内容,以及他们对该服务是否满意。我们使用Python网络爬虫收集了中国一家PRW(好大夫在线网,haodf.com)上提供OPD服务的所有5645名医生的41029条评论和84510条简短评论(标签)。我们采用混合方法(即文献综述、主题发现、注释和情感分析)来确定OPD评论想要表达的信息。我们发现OPD评论可分为四个主题:专业能力(35.1%)、沟通(29.4%)、治疗(26.0%)和便利性(9.5%)。就先前发现的主题而言,我们发现专业能力、沟通和治疗之前已被讨论过,但便利性是一个新兴主题。情感分析表明,93.67%的评论表达了积极情绪,受试者工作特征(ROC)曲线下面积为0.64。此外,标签显示只有0.72%(603/84570)的评论对OPD服务持负面态度。标签的主题按专业能力(34.7%)、沟通(23.8%)、治疗(33.5%)和便利性(8.0%)分布。我们的研究结果表明,曾使用过OPD的患者对该服务相当满意。从他们的评论中,我们发现OPD有其特殊之处且很方便。然而,它仍有一些缺点,例如电话连接质量。在平台和医生方面,都应做出更多努力以使OPD更好、更规范。OPD是一项新兴的远程医疗服务,仍需要更多时间和空间来发展。对患者来说,它有助于减少诸如预约和排队等问题。因此,它给人们的日常生活带来了更多便利。未来,应更多关注这项服务,因为它有助于减少医疗资源分配不均的问题。

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