Suppr超能文献

管理健康数据和样本的二次研究使用:联邦资助研究与行业研究之间监管负担的不公平分配。

Governing secondary research use of health data and specimens: the inequitable distribution of regulatory burden between federally funded and industry research.

作者信息

Spector-Bagdady Kayte

出版信息

J Law Biosci. 2021 May 20;8(1):lsab008. doi: 10.1093/jlb/lsab008. eCollection 2021 Jan-Jun.

Abstract

Some of the most promising recent advances in health research offer opportunities to improve diagnosis and therapy for millions of patients. They also require access to massive collections of health data and specimens. This need has generated an aggressive and lucrative push toward amassing troves of human data and biospecimens within academia and private industry. But the differences between the strict regulations that govern federally funded researchers in academic medical centers (AMCs) versus those that apply to the collection of health data and specimens by industry can entrench disparities. This article will discuss the value of secondary research with data and specimens and analyze why AMCs have been put at a disadvantage as compared to industry in amassing the large datasets that enable this work. It will explore the limitations of this current governance structure and propose that, moving forward, AMCs should set their own standards for commercialization of the data and specimens they generate in-house, the ability of their researchers to use industry data for their own work, and baseline informed consent standards for their own patients in order to ensure future data accessibility.

摘要

健康研究领域一些最有前景的最新进展为改善数百万患者的诊断和治疗提供了机会。它们还需要获取大量的健康数据和样本。这种需求促使学术界和私营企业积极且有利可图地推动收集大量人类数据和生物样本。但是,学术医疗中心(AMC)中受联邦资助的研究人员所遵循的严格规定与适用于行业收集健康数据和样本的规定之间的差异可能会加剧不平等。本文将讨论利用数据和样本进行二次研究的价值,并分析为何与行业相比,AMC在积累开展这项工作所需的大型数据集方面处于劣势。它将探讨当前这种治理结构的局限性,并建议未来AMC应为其内部生成的数据和样本的商业化、研究人员将行业数据用于自身工作的能力以及为自身患者制定的基线知情同意标准设定自己的标准,以确保未来的数据可获取性。

相似文献

引用本文的文献

3
The dilemma of consent for AI in healthcare.医疗保健领域中人工智能的同意困境。
Surgery. 2024 May;175(5):1456-1457. doi: 10.1016/j.surg.2024.01.019. Epub 2024 Feb 27.
4
Translating Commercial Health Data Privacy Ethics into Change.将商业健康数据隐私伦理转化为变革。
Am J Bioeth. 2023 Nov;23(11):7-10. doi: 10.1080/15265161.2023.2263286. Epub 2023 Oct 25.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验