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<p>Most clinical AI solutions center on patient data—particularly those from electronic health records (EHR)—while overlooking the clinician activities that shape care and signal patient outcomes. EHR use metadata, which capture fine-grained clinician-EHR interactions, represent a powerful yet underutilized resource that complements patient data. This perspective highlights the opportunity of integrating EHR use metadata with patient data to advance the development, evaluation, and real-world impact of clinical AI.</p>

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Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月4日

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  • Chao Yan,
  • Xinmeng Zhang,
  • Thomas G. Kannampallil,
  • Julia Adler-Milstein,
  • You Chen

摘要

Most clinical AI solutions center on patient data—particularly those from electronic health records (EHR)—while overlooking the clinician activities that shape care and signal patient outcomes. EHR use metadata, which capture fine-grained clinician-EHR interactions, represent a powerful yet underutilized resource that complements patient data. This perspective highlights the opportunity of integrating EHR use metadata with patient data to advance the development, evaluation, and real-world impact of clinical AI.