AI Scribes: What Does Physician Review Verify?

Authors

  • André Massahiro Shimaoka Universidade Federal de São Paulo, Departamento de Informática em Saúde, São Paulo, SP, Brasil https://orcid.org/0000-0002-9400-8083
  • Luciano Rodrigo Lopes Universidade Federal de São Paulo, Departamento de Informática em Saúde, São Paulo, SP, Brasil
  • Paulo Bandiera-Paiva Universidade Federal de São Paulo, Departamento de Informática em Saúde, São Paulo, SP, Brasil https://orcid.org/0000-0001-9409-3970

DOI:

https://doi.org/10.11606/issn.2317-2770.v31i2e-262550

Keywords:

Artificial Intelligence, Clinical Documentation, Patient Safety

Abstract

Artificial intelligence (AI) scribes, which record conversations between physicians and patients and generate clinical notes, are increasingly being adopted to reduce the burden of clinical documentation. However, AI-generated notes may contain omissions, information not discussed during the consultation, and unintended inclusions. This letter discusses the limitations of physician review and argues that a clinical note may be coherent without faithfully reflecting the original consultation. This concern is particularly relevant when omissions are difficult to detect, fluent text encourages automation bias, or the original audio is unavailable for verification. We also discuss ethical concerns, linguistic diversity, equity, and data protection, including implications for Brazilian Portuguese. Finally, we propose evaluation strategies that assess fidelity to the original consultation alongside note quality and explore verification approaches that are feasible in clinical practice.

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References

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Published

2026-11-12

Issue

Section

Carta ao Editor

How to Cite

1.
Shimaoka AM, Lopes LR, Bandiera-Paiva P. AI Scribes: What Does Physician Review Verify?. Saúde ética justiça [Internet]. 2026 Nov. 12 [cited 2026 Nov. 13];31(2):e-262550. Available from: https://revistas.usp.br/sej/article/view/262550