From Broad Consent to Patient Engagement: A Framework for Consent Management and Study Oversight.

Anne Pelz, Philipp Heinrich, Gabriele Mueller, Anne Seim, Peter Penndorf, Martin Bialke, Martin Sedlmayr, Ines Reinecke, Markus Wolfien, Katja Hoffmann
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Abstract

Introduction: The German Medical Informatics Initiative (MII) promotes the use of routine clinical data for research, supported by the broad consent framework to ensure patient engagement. This work proposes a data management process and reference infrastructure to improve transparency by enabling patients to track their consent history and data use in research.

Methods: We analyzed the data provision process at the University Hospital Dresden (UKD) to identify roles and data flows relevant to secondary data use under broad consent. Established MII tools in use at UKD were evaluated for their suitability in enabling secure data access.

Results: We developed a structured data access process and implemented a reference infrastructure that lays the groundwork for a potential patient-facing application providing secure access to consent and study details.

Conclusion: The reference infrastructure demonstrates how existing MII tools can be repurposed to offer patient-centric transparency in secondary data use. Future work will address scalability, access control, and ethical considerations, such as patient expectations and the clarity of information.

从广泛同意到患者参与:同意管理和研究监督的框架。
简介:德国医学信息学倡议(MII)促进常规临床数据用于研究,并得到广泛同意框架的支持,以确保患者参与。这项工作提出了一个数据管理过程和参考基础设施,使患者能够跟踪他们的同意历史和数据在研究中的使用,从而提高透明度。方法:我们分析了德累斯顿大学医院(UKD)的数据提供过程,以确定在广泛同意下与二次数据使用相关的角色和数据流。评估了UKD使用的已建立的MII工具在实现安全数据访问方面的适用性。结果:我们开发了一个结构化的数据访问流程,并实施了一个参考基础设施,为潜在的面向患者的应用程序奠定了基础,提供了对同意书和研究细节的安全访问。结论:参考基础设施展示了现有的MII工具如何重新利用,以提供以患者为中心的二级数据使用透明度。未来的工作将涉及可扩展性、访问控制和伦理考虑,如患者期望和信息的清晰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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