Clinical Documentation as Clinical Practice: Beyond the Novel Risks of AI Summarization Tools.

This article focuses on the ethical assessment of generative AI tools used for clinical documentation and summarization, emphasizing concerns beyond technological risks such as inaccuracies and bias. It highlights that clinical documentation serves important cognitive and reflective functions for cl...

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Publicado en:American Journal of Bioethics Vol. 26; no. 8; pp. 102 - 105
Autores principales: Schuitmaker, Lotte, Loosman, Iris
Formato: commentary Journal Article
Publicado: Taylor & Francis Ltd Aug2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2026
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      pub: Taylor & Francis Ltd
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        atl: Clinical Documentation as Clinical Practice: Beyond the Novel Risks of AI Summarization Tools.
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        au:
          Schuitmaker, Lotte
          Loosman, Iris
        affil: Royal Dutch Medical Association [KNMG]
      sug:
        subj:
          Artificial Intelligence, Generative Ethical Issues
          Documentation Ethical Issues
          Electronic Health Records Ethical Issues
          Workflow
          Professional Practice
          Epistemology
          Time Pressure
          Physicians Psychosocial Factors
          Clinical Reasoning
          Clinical Competence
          Decision Making, Clinical
          Cognition
          Skill Acquisition
          Automation
          Task Performance and Analysis
      ab: This article focuses on the ethical assessment of generative AI tools used for clinical documentation and summarization, emphasizing concerns beyond technological risks such as inaccuracies and bias. It highlights that clinical documentation serves important cognitive and reflective functions for clinicians, supporting clinical reasoning, professional judgment, and engagement with patient information. The authors caution that while AI may reduce administrative burdens, it could also lead to the erosion of essential clinical skills and reflective practices, a phenomenon linked to AI-related deskilling and cognitive offloading. They argue that ethical evaluations of AI in clinical settings should consider not only the reduction of workload but also the preservation of these valuable cognitive and professional practices embedded in documentation.
      pubtype: Academic Journal
      doctype:
        commentary
        Journal Article
      ougenre: Article
    language: English
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