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我国互联网医院APP的隐私政策评价研究——基于认知负荷与内容合规双重视域 被引量:3

Privacy Policy Evaluation of Internet Hospital Apps in China from the Perspective of Cognitive Load and Content Compliance
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摘要 [目的/意义]对我国互联网医院APP隐私政策进行系统评估,有助于推动我国互联网医疗产业健康发展,为政府部门的监管和指导提供科学依据。[方法/过程]基于认知负荷与内容合规性双重分析视角,构建互联网医院APP隐私政策评价指标体系,并对指标进行AHP-EWM耦合赋权。选取我国主流互联网医院APP隐私政策为研究样本展开实证分析,结合标注结果对其进行评价。[结果/结论]我国互联网医院APP隐私政策存在设计水平不均衡的现象,在降低用户认知负荷、信息安全保障等方面存在较多问题。互联网医院应在优化设计、强化安全责任管理、健全跨境数据监管制度、加强死者个人信息保护等方面出台积极举措。 [Purpose/Significance]To systematically evaluate the APP privacy policy of Internet hospitals in China is helpful to promote the healthy development of Internet medical industry in China and provide scientific basis for the supervision and guidance of government departments.[Methods/Process]Based on the dual analysis perspective of cognitive load and content compliance,the evaluation index system of Internet hospital APP privacy policy was constructed,and the index was weighted by AHP-EWM coupling.The APP privacy policy of mainstream Internet hospitals in China was selected as the research sample to conduct an empirical analysis,and the annotation results were combined to evaluate it.[Results/Conclusion]The design level of APP privacy policy in Internet hospitals in China is unbalanced,and there are many problems in reducing users’cognitive load and ensuring information security.Internet hospitals should take positive measures to optimize design,strengthen security responsibility management,improve cross-border data supervision system,and strengthen the protection of personal information of the deceased.
作者 张敏 沈嘉裕 刘华玮 严炜炜 Zhang Min;Shen Jiayu;Liu Huawei;Yan Weiwei(Information Resource Research Center,Wuhan University,Wuhan 430072,China;School of Information Management,Wuhan University,Wuhan 430072,China)
出处 《现代情报》 2023年第3期110-122,共13页 Journal of Modern Information
基金 国家自然科学基金面上项目“突发公共卫生事件中网络社会情绪的跨场域极化研究”(项目编号:72074174) 教育部人文社会科学研究规划基金项目“在线健康社区用户知识共享行为的间歇性中辍现象研究:基于信息生态链的分析视角”(项目批准号:18YJA870016)。
关键词 互联网医院APP 隐私政策 政策评价 认知负荷 内容合规 internet hospital APP privacy policy policy evaluation cognitive load content compliance
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