情绪表达和平台提示对患者选择的影响:在线问答平台的多方法研究
Jiaxin Xue1, Zhaohua Deng1, Bin Wang2
1School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China.
Social science & medicine (1982)
|February 26, 2025
概括
患者在线选择医生是基于同情和鼓励,而不仅仅是专业知识. 平台可以通过了解情绪线索如何影响患者在健康问题和答案中的选择来改善服务.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 在线健康社区 在线健康社区
背景情况:
- 由于缺乏医疗专业知识,患者在在线健康问答平台上难以评估医生的反应质量.
- 医生沟通风格和平台设计元素可以影响患者选择医疗保健提供者.
研究的目的:
- 开发和验证一个概念模型,解释医生特征和平台交互如何影响患者选择.
- 调查情绪表达和平台设计对在线健康问答中的患者选择的影响.
主要方法:
- 一种多方法,多研究方法,结合自然语言处理 (NLP),机器学习和实验设计.
- 研究1:使用NLP和机器学习分析平台数据,以评估医生表达特征对患者选择的影响.
- 研究2:进行了一项实验,探索患者的感知和决策机制.
主要成果:
- 医生的同情心,鼓励和默认反应的使用显著影响了患者的选择 (研究1).
- 患者的心理赋权和对独特性被忽视的感知是决策的关键因素 (研究2).
结论:
- 医生的情绪表达和平台设计在在线健康问答平台上的患者选择中发挥着关键作用.
- 结果为优化在线医疗服务,增强医生沟通策略和改进平台系统提供了见解.
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