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<p>LLMs accelerate medical information work, but speed of synthesis does not justify reliance. As T.S. Eliot asked, “Where is the knowledge we have lost in information?” Using a data-information-evidence-practice hierarchy, LLM outputs enter clinical setting as information and become evidence only through appraisal, validation, and contextual judgement. We highlight how LLMs can support evidence infrastructures, clarify evidence boundaries, and reshape clinical expertise to strengthen rather than replace evidence-based medicine.</p>

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Fast information and slow evidence in the large language models era

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月3日

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  • Yilan Wu,
  • Ariel Yuhan Ong,
  • Kuang Hu,
  • Tien Yin Wong,
  • Pearse A. Keane

摘要

LLMs accelerate medical information work, but speed of synthesis does not justify reliance. As T.S. Eliot asked, “Where is the knowledge we have lost in information?” Using a data-information-evidence-practice hierarchy, LLM outputs enter clinical setting as information and become evidence only through appraisal, validation, and contextual judgement. We highlight how LLMs can support evidence infrastructures, clarify evidence boundaries, and reshape clinical expertise to strengthen rather than replace evidence-based medicine.