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Beyond privacy policies - assessing inherent privacy risks of consumer health services

机译:除了隐私政策之外 - 评估消费者健康服务的内在隐私风险

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There is a rapidly growing market for direct-to-consumer health services offered through the Internet and other information and communication technologies (ICT). Personal health information is one of the most sensitive types of data;while consumer health services have many potential health benefits, privacy advocates have warned consumers about the privacy risks associated with the indiscriminate use of direct-to-consumer services. Some tools and methods have been developed to aid consumers in assessing the privacy risk of ICT-based consumer health services. Most of these methods focus on the privacy policies published by the service provider, and are limited to a particular class of service offerings, e.g., Personal Health Records. While these methods have proven useful in gauging the apparent risk associated with certain types of services, they fall short of addressing the inherent risks of an entire spectrum of different service types. Moreover, privacy policy based risk assessment falls short of catching some of the more subtle privacy threats, such as indirect information disclosure due to targeted advertisements and social computing. This paper attempts to fill this gap by proposing a complementary tool to aid consumers in gauging the inherent privacy risks associated with consumer health services. The tool was developed based on a systematic review of the types of services and their associated privacy risks.
机译:通过互联网和其他信息和通信技术(ICT)提供的直接消费者健康服务市场迅速增长。个人健康信息是最敏感的数据类型之一;虽然消费者卫生服务有许多潜在的健康福利,但隐私倡导者已经警告消费者关于与滥用直接使用直接服务的隐私风险。已经制定了一些工具和方法,以帮助消费者评估基于ICT的消费者健康服务的隐私风险。这些方法中的大多数都侧重于服务提供商发布的隐私政策,并且仅限于特定的服务类别,例如个人健康记录。虽然这些方法已被证明可用于衡量与某些类型的服务相关的明显风险,但它们缺乏解决不同服务类型的整个频谱的固有风险。此外,基于隐私政策的风险评估缺乏捕获一些更细微的隐私威胁,例如由于有针对性的广告和社会计算为导致的间接信息披露。本文试图通过提出辅助消费者衡量与消费者健康服务相关的固有隐私风险的补充工具来填补这种差距。该工具是根据对服务类型及其相关隐私风险的系统审查开发的。

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