健康数据纽带:医学人工智能研究和教育的开放数据平台

January L Adams, Rafal Cymerys, Karol Szuster, Daniel Hekman, Zoryana Salo, Rutvik Solanki, Muhammad Mamdani, Alistair Johnson, Katarzyna Ryniak, Tom L Pollard, David Rotenberg, Benjamin Haibe-Kains
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引用次数: 0

摘要

我们概述了 Health Data Nexus 数据平台的开发过程,该平台通过基于云的计算环境实现数据存储和访问管理。我们介绍了这一安全平台在不断发展的公共部门研究领域中的重要性,该领域使用了大量数据,尤其是从卫生系统获取的临床数据,以及为三个目标用户群(数据提供者、研究人员和教育工作者)提供有意义的好处的重要性。然后,我们介绍了构建该平台所需的管理实践、技术标准以及数据安全和隐私保护措施的实施情况,并举例说明了该平台在促进数据集获取、新颖研究以及举办教育课程、研讨会和数据马拉松等方面的优势。最后,我们讨论了平台开发的关键原则,强调了灵活使用、合作开发和开源科学的重要性。
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Health Data Nexus: An Open Data Platform for AI Research and Education in Medicine
We outline the development of the Health Data Nexus, a data platform which enables data storage and access management with a cloud-based computational environment. We describe the importance of this secure platform in an evolving public sector research landscape that utilizes significant quantities of data, particularly clinical data acquired from health systems, as well as the importance of providing meaningful benefits for three targeted user groups: data providers, researchers, and educators. We then describe the implementation of governance practices, technical standards, and data security and privacy protections needed to build this platform, as well as example use-cases highlighting the strengths of the platform in facilitating dataset acquisition, novel research, and hosting educational courses, workshops, and datathons. Finally, we discuss the key principles that informed the platform's development, highlighting the importance of flexible uses, collaborative development, and open-source science.
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