TY -非盟的王、元盟——刘Yuqiao AU -史,Yancui AU - Yu,宿州农村非盟-杨,聚成PY - 2020 DA - 2020/8/12 TI -用户感知的虚拟医院在中国应用:系统搜索乔——JMIR Mhealth Uhealth SP - e19487六世- 8 - 8 KW -移动应用KW - Mhealth KW -远程咨询KW -中国KW -应用回顾分析KW -用户意图AB -背景:虚拟医院应用程序是提供在线咨询、医疗指导、健康社区论坛、转诊、门诊预约或虚拟医院到家庭护理服务等功能的移动应用程序。随着越来越多的在线医疗和卫生保健咨询服务，虚拟医院应用程序使医疗保健更容易获得，对所有人更公平，尤其是在中国。然而，它们是在没有控制或监管的情况下发生的。用户评价可以为app优化识别、降低风险、保证服务质量提供指导。目的:我们旨在对中国的虚拟医院应用程序进行系统的搜索。为了获得全局视图，虚拟医院应用程序通过定量分析的方式进行评估和表征。为了获得本地视图，我们进行了内容反馈分析，以探索用户需求、期望和偏好。方法:对中国最受欢迎的苹果和安卓应用商店进行搜索。我们对虚拟医院应用进行了表征和验证，并根据量化分析对应用进行了分组。 We then crawled apps and paid attention to corresponding reviews to incorporate users’ involvement, and then performed aspect-based content labeling and analysis using an inductive approach. Results: A total of 239 apps were identified in the virtual hospital app markets in China, and 2686 informative corresponding reviews were analyzed. The evidence showed that usefulness and ease of use were vital facts for engagement. Users were likely to trust a consulting service with a high number of downloads. Furthermore, users expected frequently used apps with more optimization to improve virtual service. We characterized apps according to 4 key features: (1) app functionalities, including online doctor consultation, in-app purchases, tailored education, and community forums; (2) security and privacy, including user data management and user privacy; (3) health management, including health tracking, reminders, and notifications; and (4) technical aspects, including user interface and equipment connection. Conclusions: Virtual hospitals relying on the mobile internet are growing rapidly. A large number of virtual hospital apps are available and accessible to a growing number of people. Evidence from this systematic search can help various types of virtual hospital models enhance virtual health care experiences, go beyond offline hospitals, and continuously meet the needs of individual end users. SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2020/8/e19487/ UR - https://doi.org/10.2196/19487 UR - http://www.ncbi.nlm.nih.gov/pubmed/32687480 DO - 10.2196/19487 ID - info:doi/10.2196/19487 ER -