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将可信第三方软件集成到 EDC 系统中,以实现数据保护 - 符合法规要求的身份管理、同意管理和在医学研究中使用化名。

Integration of Trusted Third Party Software into an EDC System for Data Protection - Compliant Identity Management, Consent Management and Pseudonymization in Medical Research Studies.

机构信息

Trusted Third Party of the University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Research IT, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

出版信息

Stud Health Technol Inform. 2024 Aug 30;317:75-84. doi: 10.3233/SHTI240840.

Abstract

INTRODUCTION

Medical research studies which involve electronic data capture of sensitive data about human subjects need to manage medical and identifying participant data in a secure manner. To protect the identity of data subjects, an independent trusted third party should be responsible for pseudonymization and management of the identifying data.

METHODS

We have developed a web-based integrated solution that combines REDCap as an electronic data capture system with the trusted third party software tools of the University Medicine Greifswald, which provides study personnel with a single user interface for both clinical data entry and management of identities, pseudonyms and informed consents.

RESULTS

Integration of the two platforms enables a seamless workflow of registering new participants, entering identifying and consent information, and generating pseudonyms in the trusted third party system, with subsequent capturing of medical data in the electronic data capture system, while maintaining strict separation of medical and identifying data in the two independently managed systems.

CONCLUSION

Our solution enables a time-efficient data entry workflow, provides a high level of data protection by minimizing visibility of identifying information and pseudonym lists, and avoids errors introduced by manual transfer of pseudonyms between separate systems.

摘要

简介

涉及电子捕获有关人类受试者的敏感数据的医学研究需要以安全的方式管理医疗和识别参与者数据。为了保护数据主体的身份,应由独立的受信任的第三方负责对识别数据进行化名和管理。

方法

我们开发了一种基于网络的集成解决方案,将 REDCap 作为电子数据捕获系统与格赖夫斯瓦尔德大学的受信任的第三方软件工具相结合,为研究人员提供了一个用于临床数据输入和身份、化名和知情同意管理的单一用户界面。

结果

两个平台的集成实现了在受信任的第三方系统中注册新参与者、输入识别和同意信息以及生成化名的无缝工作流程,随后在电子数据捕获系统中捕获医疗数据,同时在两个独立管理的系统中严格分离医疗和识别数据。

结论

我们的解决方案实现了高效的数据录入工作流程,通过最小化识别信息和化名列表的可见性提供了高度的数据保护,并避免了在单独的系统之间手动传输化名时引入的错误。

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