Generative AI and large language models in health care: pathways to implementation

被引:6
|
作者
Raza, Marium M. [1 ]
Venkatesh, Kaushik P. [1 ]
Kvedar, Joseph C. [1 ]
机构
[1] Harvard Med Sch, Boston, MA 02115 USA
关键词
D O I
10.1038/s41746-023-00988-4
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors. Within healthcare there has been innovation specifically towards generative AI models trained on electronic medical record data. A recent review characterizes these models, their strengths, and weaknesses. Inspired by that work, we present our evaluation checklist for generative AI models applied to electronic medical records.
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页数:3
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