TrustNShare:开发基于区块链的数据信任模型,以基于实证研究的安全和可控的健康数据共享
Hamza Maatouk1, Sebastian Uschmann2, Sven Festag2
1Institute of Digital Medicine, University Hospital Bonn, Bonn, Germany.
Studies in health technology and informatics
|June 30, 2023
概括
TrustNShare项目通过创建透明的数据信任来解决健康数据安全问题. 这使得安全的数据交换能够实现,同时平衡可信度和医疗保健互操作性需求.
科学领域:
- 医疗信息学 医疗信息学
- 数据安全数据安全
- 信任管理信任管理
背景情况:
- 确保数据质量和数据保护对于与健康相关的数据至关重要.
- 在GDPR等法规下,重新识别风险使受保护和匿名数据集之间的界限变得模糊.
- 现有的数据共享方法在平衡安全性,灵活性和互操作性方面面临挑战.
研究的目的:
- 开发一个透明的数据信任模型,以确保安全和可控的健康数据交换.
- 建立一个值得信赖的中介机构,促进灵活的数据共享选项.
- 将可信度,承受风险和医疗保健互操作性纳入数据信任框架.
主要方法:
- TrustNShare项目正在开发一个透明的数据信任.
- 利用经验研究和参与式研究来为模型开发提供信息.
- 专注于创建一个值得信赖和有效的数据信任架构.
主要成果:
- 正在创建一个新的数据信任模型,以减轻重新识别风险.
- 该模型旨在提供安全和可控的数据交换机制.
- 将提供灵活的数据共享选项,考虑可靠性和互操作性等关键参数.
结论:
- TrustNShare项目提供了一种解决方案,以提高健康数据的安全性和共享.
- 透明的数据信任模型促进安全,可控和灵活的数据交换.
- 这项研究将为可靠的健康数据管理提供一个强大的模型.
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