Building Public Trust in Personal Data Use!
I. Public Trust
Public trust in health systems is pivotal for their effective and efficient functioning.
II. Impact
Public trust is particularly important for the success of a range of data-driven health system activities such as:
- Public uptake of contact tracing apps during the COVID-19 pandemic;
2. Public and professional acceptance of artificial intelligence applications in. health care;
3. Establishment of integrated electronic health data records and personal data sharing;
4. Donation of bio samples and personal data for research purposes;
5. Public acceptance of digital health provision more broadly.
III. Guiding principles on how to foster public trust in personal data use:
1. Do not rush trust building
A realistic timeframe is key to successfully building public trust in an initiative;
2. Engage with the public
Two-way communication is the lifeblood of public trust;
3. Keep the public safe
Security and safety in the health system are important means to build public trust and other forms of trust in health care;
4. Offer autonomy to the public
Personal autonomy is one of the core principles inherent in any process of establishing trust;
5. Plan for diverse trust relationships
Public trust includes several types of trust, namely: self-confidence (i.e. trust in oneself); interpersonal trust; and individual trust in the health system;
6. Recognise that trust is shaped by both emotion and rational thought
Trust is the result, in part at least, of emotions and, therefore, as much motivated by ‘gut feeling’ as calculation;
7. Represent the public interest
It is a necessity that health system actors act in the public interest by following good governance principles;
8. Work towards realising a net benefit for the health system and the public
To be able to be trusted by the public to achieve this net benefit, the health system as a whole and its actors must have a recognisable potential to make decisions that produce net benefits for different groups in the population.
Make sure to check out insightful article by Felix Gille, PhD, Sarah Smith and Nicholas Mays here: https://journals.sagepub.com/doi/10.1177/20552076221111947.
建立公众对个人数据使用的信任！
一、公信力
公众对卫生系统的信任是其有效和高效运作的关键。
二。影响
公众信任对于一系列数据驱动的卫生系统活动的成功尤为重要，例如：
- COVID-19 大流行期间公众对接触者追踪应用程序的采用；
2. 医疗保健领域人工智能应用的公众和专业接受度；
3.建立一体化电子健康数据档案和个人数据共享；
4. 为研究目的捐赠生物样本和个人数据；
5. 公众更广泛地接受数字医疗服务。
三、关于如何培养公众对个人数据使用的信任的指导原则：
1. 不要急于建立信任
一个现实的时间表是成功建立公众对一项倡议的信任的关键；
2. 与公众互动
双向沟通是公信力的命脉；
3. 维护公众安全
卫生系统的保障和安全是建立公众信任和其他形式的卫生保健信任的重要手段；
4. 给予公众自主权
个人自主权是任何建立信任过程中固有的核心原则之一；
5.规划多样化的信任关系
公众信任包括几种类型的信任，即：自信(即对自己的信任)；人际信任；和个人对卫生系统的信任；
6. 认识到信任是由情感和理性思维共同塑造的
信任是情绪的结果，至少部分是情绪的结果，因此，与计算一样，“直觉”也是如此。
7.代表公众利益
卫生系统参与者必须遵循善治原则以公共利益行事；
8. 努力实现卫生系统和公众的净收益
为了能够获得公众的信任以实现这种净收益，整个卫生系统及其参与者必须具有公认的潜力来做出为不同人群带来净收益的决策。
请务必在此处查看费利克斯·吉尔博士、莎拉·史密斯和尼古拉斯·梅斯撰写的富有洞察力的文章：https://journals.sagepub.com/doi/10.1177/20552076221111947.
Credit to Felix Gille, et al. Share & Translate: Chinou Gea (秦陇纪) @2023 DSS-SDS, IFS-AHSC. Data Simplicity Community Facebook Group https://m.facebook.com/groups/290760182638656/ #DataSimp #DataScience #DataComputing #computer #IT #healthcare #innovation #digitalhealth #healthtech #healthdata #trust