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Updated: Jan 9, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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使用自然语言处理量化紧急医疗住院学习曲线:回顾性队列研究

Carl Preiksaitis1, Joshua Hughes1, Rana Kabeer1

  • 1Department of Emergency Medicine, Stanford University School of Medicine, 900 Welch Road, Suite 350, Palo Alto, CA, 94304, United States, 1 650-723-6576, 1 650-723-0121.

JMIR medical education
|December 9, 2025
PubMed
概括

临床文档的自然语言处理 (NLP) 显示,紧急医疗 (EM) 住院人员在整个培训过程中获得了显著的新临床主题接触,甚至到他们的第四年. 这支持一个为期四年的EM居住模式,以提高教育价值.

关键词:
临床暴露 临床暴露电子健康记录是电子健康记录.紧急医疗专业住院医生研究生医学教育的研究生.学习曲线的学习曲线自然语言处理自然语言处理.

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