Department of Health Sciences and Technology, Ethics and Policy Lab, ETH Zürich, Zürich, Switzerland.
Life Sci Soc Policy. 2021 Jul 26;17(1):7. doi: 10.1186/s40504-021-00115-9.
Public trust is paramount for the well functioning of data driven healthcare activities such as digital health interventions, contact tracing or the build-up of electronic health records. As the use of personal data is the common denominator for these healthcare activities, healthcare actors have an interest to ensure privacy and anonymity of the personal data they depend on. Maintaining privacy and anonymity of personal data contribute to the trustworthiness of these healthcare activities and are associated with the public willingness to trust these activities with their personal data. An analysis of online news readership comments about the failed care.data programme in England revealed that parts of the public have a false understanding of anonymity in the context of privacy protection of personal data as used for healthcare management and medical research. Some of those commenting demanded complete anonymity of their data to be willing to trust the process of data collection and analysis. As this demand is impossible to fulfil and trust is built on a false understanding of anonymity, the inability to meet this demand risks undermining public trust. Since public concerns about anonymity and privacy of personal data appear to be increasing, a large-scale information campaign about the limits and possibilities of anonymity with respect to the various uses of personal health data is urgently needed to help the public to make better informed choices about providing personal data.
公众信任对于数据驱动的医疗保健活动的正常运作至关重要,例如数字健康干预、接触者追踪或电子健康记录的建立。由于个人数据的使用是这些医疗保健活动的共同要素,医疗保健参与者有兴趣确保他们所依赖的个人数据的隐私和匿名性。维护个人数据的隐私和匿名性有助于这些医疗保健活动的可信度,并与公众愿意将其个人数据信任这些活动相关。对英格兰失败的 care.data 计划的在线新闻阅读评论的分析表明,部分公众对个人数据隐私保护中匿名的理解存在误解,这种误解用于医疗保健管理和医学研究。一些评论者要求完全匿名其数据,以便愿意信任数据收集和分析的过程。由于这种需求不可能得到满足,而且信任是建立在对匿名的错误理解之上的,因此无法满足这种需求可能会破坏公众信任。由于公众对个人数据的匿名性和隐私的担忧似乎在增加,因此迫切需要开展大规模的信息宣传活动,让公众了解个人健康数据的各种用途中匿名的限制和可能性,以帮助公众在提供个人数据方面做出更明智的选择。