Environment scan of generative AI infrastructure for clinical and translational science.

Npj health systems Pub Date : 2025-01-01 Epub Date: 2025-01-25 DOI:10.1038/s44401-024-00009-w
Betina Idnay, Zihan Xu, William G Adams, Mohammad Adibuzzaman, Nicholas R Anderson, Neil Bahroos, Douglas S Bell, Cody Bumgardner, Thomas Campion, Mario Castro, James J Cimino, I Glenn Cohen, David Dorr, Peter L Elkin, Jungwei W Fan, Todd Ferris, David J Foran, David Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S Karnik, Avnish Katoch, Albert M Lai, Christophe G Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A Mendonca, Parsa Mirhaji, Shawn Murphy, John D Osborne, Ioannis C Paschalidis, Paul A Harris, Fred Prior, Nicholas J Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R Waitman, Rosalind J Wright, Adrian H Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A Malin, Karthik Natarajan, W Nicholson Price Ii, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng
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Abstract

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis reveals that 53% of institutions identified data security as a primary concern, followed by lack of clinician trust (50%) and AI bias (44%), which must be addressed to ensure the ethical and effective implementation of GenAI technologies.

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临床和转化科学生成人工智能基础设施的环境扫描。
本研究报告了由美国国立卫生研究院(NIH)国家推进转化科学中心(NCATS)领导的CTSA计划支持的36个机构的临床和转化科学国家网络中生成式人工智能(GenAI)基础设施的全面环境扫描。主要研究结果表明,大多数组织都处于GenAI部署的实验阶段,因此存在各种各样的机构战略。结果强调需要一种更加协调的GenAI治理方法,强调高层领导、临床医生、信息技术人员和研究人员之间的合作。我们的分析显示,53%的机构将数据安全确定为主要问题,其次是缺乏临床医生信任(50%)和人工智能偏见(44%),必须解决这些问题,以确保GenAI技术的道德和有效实施。
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