廖虎昌, 刘凡, 卢柯宇, 朱婷, 罗利. 基于在线医疗评论的患者行为挖掘及其在医疗决策与管理中的应用综述[J]. 电子科技大学学报社科版, 2022, 24(3): 1-22. DOI: 10.14071/j.1008-8105(2022)-1100
引用本文: 廖虎昌, 刘凡, 卢柯宇, 朱婷, 罗利. 基于在线医疗评论的患者行为挖掘及其在医疗决策与管理中的应用综述[J]. 电子科技大学学报社科版, 2022, 24(3): 1-22. DOI: 10.14071/j.1008-8105(2022)-1100
LIAO Hu-chang, LIU Fan, LU Ke-yu, ZHU Ting, LUO Li. Online Medical Reviews on Patient Behavior Mining and Its Applications in Medical Decision-Making and Management[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2022, 24(3): 1-22. DOI: 10.14071/j.1008-8105(2022)-1100
Citation: LIAO Hu-chang, LIU Fan, LU Ke-yu, ZHU Ting, LUO Li. Online Medical Reviews on Patient Behavior Mining and Its Applications in Medical Decision-Making and Management[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2022, 24(3): 1-22. DOI: 10.14071/j.1008-8105(2022)-1100

基于在线医疗评论的患者行为挖掘及其在医疗决策与管理中的应用综述

Online Medical Reviews on Patient Behavior Mining and Its Applications in Medical Decision-Making and Management

  • 摘要:
    目的/意义在互联网大数据背景下,在线评论(online reviews)作为一种重要信息资源被应用到各类商品和服务的购买决策中。随着“互联网+医疗健康”政策的提出,互联网医疗市场规模逐步增大。互联网医疗的发展在满足患者多样化需求、平衡医疗资源配置、改善医患关系、应对突发公共卫生事件、完善医疗服务体系等方面有重要作用。在此背景下,挖掘在线医疗评论信息的潜在价值以协助医疗服务管理(如辅助患者就医选择等)吸引了众多学者的研究兴趣并取得了丰硕成果。
    设计/方法在文献计量分析的基础上,对在线医疗评论生成行为与患者感知、在线医疗评论的内容特征及其相关因素以及医疗服务决策应用等方面的研究进行了综述。最后,立足中国互联网医疗的实际国情,对基于在线评论的医疗服务管理理论与方法进行了展望。
    结论/发现当前在线医疗评论相关的研究主要聚焦于在线医疗评论的评级、主题特征相关性以及评论对患者就医决策行为的影响。现有研究在线评论生成行为以及患者感知行为等方面仍存在不足。未来还需立足中国国情,对在线医疗评论在互联网医疗决策与管理中发挥的作用进行深入研究。

     

    Abstract: Purpose/Significance In the era of Internet big data, online reviews, as an important information resource, have been applied to the purchase decisions of various commodities and services. With the introduction of the “Internet and Medical Health” policy, the Internet medical market increased gradually. The development of the Internet-based healthcare plays an important role in meeting the diverse needs of patients, balancing the allocation of medical resources, improving the relationships between doctors and patients, responding to public health emergencies, and improving the healthcare system. Within this context, how to mining the potential value of online reviews in assisting medical service management such as optimizing patient choice behaviors has attracted the attention of many scholars and achieved many results. Design/Methodology After the bibliometrics analysis on related literature, this paper reviews the generating behaviors and patient perceptions of online medical reviews, the subject characteristics and relevant factors of online medical reviews, and the applications of online reviews in assisting medical service decision making. Finally, on the basis of the situation of Chinese internet-driven healthcare, this paper provides future research directions regarding the theoretical methodologies and applications of online reviews on medical service management. Conclusions/Findings The current frontiers of online medical reviews mainly focus on the impact of ratings, the relevance of topic features and reviews of online medical reviews on patients’ decision-making behaviors. Existing studies are insufficient in terms of comment generation and patient perception. In the future, based on China’s national conditions, it is necessary to conduct in-depth researches on the role of online medical reviews in decision-making and management of Internet medical services.

     

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