Lin Qinglian, Chen Xi, Yang Shuping, Wang Duojin
School of Management, Xiamen University, 422 Siming South Road Siming District, Xiamen 361005, PR China.
Department of Orthopedics, The First Affiliated Hospital of Xiamen University, 55 Zhenhai Road, Xiamen 361003, PR China.
Int J Med Inform. 2025 Mar;195:105723. doi: 10.1016/j.ijmedinf.2024.105723. Epub 2024 Nov 23.
The development of information technology has reshaped the information flow process in traditional medical activities, giving rise to eHealth. In the context of Internet medical treatment, the massive and heterogeneous information available complicates and challenges patients' online medical choices. Understanding which indicators on Internet medical platforms should be prioritized by ordinary patients is crucial for effective online medical decision-making.
To address these challenges, this paper introduces an information needs model for online physician selection tailored to experts with different medical preferences. This model aims to provide the methodological support for constructing user profiles on eHealth platforms and for medical service providers. In addition, this study seeks to introduce the strategies used by experts in online physician selection to provide clear guidance and suggestions for ordinary patients making online medical choices.
This paper uses the "Hao Daifu" eHealth platform as the research setting, and selects experts based on their eHealth literacy and online physician selection experience. It describes individual's preferences in online physician selection using interpersonal trust theory. Furthermore, the paper examines the eHealth platform indicators that experts focus on during the online physician selection process. The importance of these indicators is evaluated using the interval-valued intuitionistic fuzzy sets decision-making method.
This study presents a method for investigating the comprehensive information needs of patients' online physician selection. The findings reveal that different patients prioritize different trust dimensions in the physician selection process. Patients mainly rely on hospital qualification indicators - such as grade, ownership, and type - when selecting hospitals. For evaluating doctors, they focus on doctor qualification indicators, represented by professional titles and doctor-patient interaction indicators, represented by efficacy satisfaction.
信息技术的发展重塑了传统医疗活动中的信息流过程，催生了电子健康。在互联网医疗的背景下，海量且异质的信息使患者的在线医疗选择变得复杂且具有挑战性。了解普通患者应优先考虑互联网医疗平台上的哪些指标对于有效的在线医疗决策至关重要。
为应对这些挑战，本文引入了一种针对具有不同医疗偏好的专家量身定制的在线医生选择信息需求模型。该模型旨在为电子健康平台上构建用户档案以及为医疗服务提供商提供方法支持。此外，本研究旨在介绍专家在在线医生选择中使用的策略，为普通患者进行在线医疗选择提供明确的指导和建议。
本文以“好大夫”电子健康平台为研究背景，根据专家的电子健康素养和在线医生选择经验进行专家选取。利用人际信任理论描述个体在在线医生选择中的偏好。此外，本文考察了专家在在线医生选择过程中关注的电子健康平台指标。使用区间值直觉模糊集决策方法评估这些指标的重要性。
本研究提出了一种调查患者在线医生选择综合信息需求的方法。研究结果表明，不同患者在医生选择过程中对不同的信任维度有不同的优先级。患者在选择医院时主要依赖医院资质指标，如等级、所有制和类型等。在评估医生时，他们关注以职称代表的医生资质指标和以疗效满意度代表的医患互动指标。
