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English(EN) Examine Clinicians' Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes

AI临床笔记经编辑后出现更多委婉语和偏见

两篇新研究论文分析了临床医生如何修改AI生成的临床笔记,重点关注委婉语和污名化语言的变化。研究发现,临床医生经常引入更多的委婉语,导致最终笔记中的不确定性增加,并且也可能成为电子健康记录中污名化语言的净来源。这些影响因AI供应商和临床专业而异。 AI

影响 临床医生对AI生成笔记的编辑可能会无意中增加患者记录中的不确定性和偏见。

排序理由 arXiv上发表的两篇分析AI生成临床笔记的学术论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yiliang Zhou, Yawen Guo, Di Hu, Sairam Sutari, Emilie Chow, Steven Tam, Danielle Perret, Deepti Pandita, Kai Zheng ·

    Examine Clinicians' Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes

    arXiv:2606.00018v1 Announce Type: cross Abstract: Ambient AI documentation systems generate clinical note drafts that clinicians frequently revise before signing off into electronic health records, yet how these edits alter hedging language remains unclear. We conducted paired an…

  2. arXiv cs.AI TIER_1 English(EN) · Yiliang Zhou, Yawen Guo, Sairam Sutari, Jasmine Dhillon, Alexandra L. Beck, Emilie Chow, Steven Tam, Danielle Perret, Deepti Pandita, Gelareh Sadigh, Archana J. McEligot, Kai Zheng ·

    Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes

    arXiv:2606.00019v1 Announce Type: cross Abstract: Ambient artificial intelligence (AI) documentation tools are increasingly deployed to reduce clinician documentation burden, but their implications for biased language in clinical notes remain unclear. We conducted a large-scale c…