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Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders

机译:分布式临床研究网络的数据治理要求:不同利益相关者的三角视角

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摘要

There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of policy analysis with experts, interviews with institutional leaders, and patient focus groups. This approach is illustrated with an example from the Scalable National Network for Effectiveness Research, which resulted in 91 requirements. These requirements were analyzed against the Fair Information Practice Principles (FIPPs) and Health Insurance Portability and Accountability Act (HIPAA) protected versus non-protected health information. The requirements addressed all FIPPs, showing how a DRN's technical infrastructure is able to fulfill HIPAA regulations, protect privacy, and provide a trustworthy platform for research.
机译:当前,有关开发分布式研究网络(DRN)的管理要求的最佳实践的信息有限,这是一种新兴模型,可促进临床数据的重用并提高比较有效性研究的及时性。现有的许多信息都是基于单一类型的利益相关者,例如研究人员或管理人员。本文报告了一种基于策略的DRN数据治理要求的三角方法,该方法结合了与专家的政策分析,与机构负责人的访谈以及患者焦点小组的结合。通过可扩展性国家有效性研究网络的示例对这种方法进行了说明,得出了91项要求。根据公平信息实践原则(FIPP)和健康保险可移植性和责任法案(HIPAA)对受保护和不受保护的健康信息进行了分析。该要求适用于所有FIPP,显示了DRN的技术基础架构如何能够满足HIPAA法规,保护隐私并为研究提供可信赖的平台。

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