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ORIGINAL RESEARCH article
Front. Public Health
Sec. Digital Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1535218
This article is part of the Research Topic Multilevel Medical Security Systems and Big Data in Healthcare: Trends and Developments, Volume II View all 10 articles
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At present, the functions of the medical health platform and website have been extended to offline diagnosis and treatment appointment. Online and offline medical services complement each other, forming a complete Internet medical service process, improving patients' medical experience, and promoting the transfer of online trust to offline. In online medical platforms, real-time interaction between patients and doctors, as well as feedback on doctors' reputation, have become important clues that affect patient trust. However, there are still shortcomings in current research on patient trust in online healthcare, especially in the study of trust transfer from patients online to offline. Research often overlooks the dynamic and multi-stage nature of trust, failing to delve into its evolutionary patterns and influencing factors. In addition, there are significant differences in the doctor-patient interaction and trust mechanism between online healthcare and traditional healthcare models, and specialized research is needed to address their characteristics. Therefore, we need to adopt a comprehensive and systematic research approach to conduct in-depth analysis of the transfer mechanism of trust in online medical patients, including consideration of multiple dimensions and comprehensive consideration of different scenarios both online and offline. In order to better understand the transfer mechanism of patient trust, we constructed a patient trust transfer model based on relevant theories and comprehensively applied text mining techniques including sentiment analysis to explore the mechanism of online reputation feedback on patient trust both online and offline. This study not only helps us better understand the formation and transfer process of patient trust, but also provides strong theoretical support and practical guidance for the development of online medical platforms.
Keywords: Online healthcare, patient online trust, patient offline trust, Reputation mechanism, Trust transfer
Received: 27 Nov 2024; Accepted: 11 Feb 2025.
Copyright: © 2025 Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lin Liang, Central South University, Changsha, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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