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一个用于评估供应商人工智能解决方案以支持投资回报率的早期管道框架。

An early pipeline framework for assessing vendor AI solutions to support return on investment.

作者信息

Binkley Charles E, Bouslov David, Zaidi Ali, Kaye Lauren, Whalen Ralph, Sethi Sameer, Azar Jose

机构信息

Hackensack Meridian Health, Edison, NJ, USA.

Hackensack Meridian School of Medicine, Nutley, NJ, USA.

出版信息

NPJ Digit Med. 2025 Jun 17;8(1):368. doi: 10.1038/s41746-025-01767-z.

Abstract

The success of AI solutions in health systems depends on governance from use case inception through deployment and auditing. This proposed early pipeline governance framework for vendor AI solutions highlights a four-pronged approach: strategic alignment, executive sponsorship, impact and value case assessment, and risk assessment. Each component can be scaled to health systems of any size and the risk and impact assessments can take place simultaneously or sequentially.

摘要

人工智能解决方案在卫生系统中的成功取决于从用例构思到部署和审计的治理。这个为供应商人工智能解决方案提议的早期流程治理框架强调了一种四管齐下的方法:战略一致性、高管支持、影响和价值案例评估以及风险评估。每个组成部分都可以扩展到任何规模的卫生系统,风险和影响评估可以同时或相继进行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/067b/12170878/ede336f9afe2/41746_2025_1767_Fig1_HTML.jpg

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