Responsible Governance of Artificial Intelligence in Healthcare Systems

Transparency, and Institutional Capacity

Authors

  • Antonio Pires Barbosa Universidade Nove de Julho (UNINOVE) Author

    Keywords:

    Artificial intelligence, healthcare, governance, equity, transparency, institutional capacity

    Abstract

    The incorporation of artificial intelligence in healthcare systems presents complex governance challenges. This article proposes normative principles to ensure equity in care, clinical transparency, and the strengthening of institutional capacity in the use of diagnostic and triage algorithms.

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    Author Biography

    • Antonio Pires Barbosa, Universidade Nove de Julho (UNINOVE)

      Antonio Pires Barbosa é médico formado pela Universidade de São Paulo (USP), com mestrado e doutorado em Administração pela Fundação Getulio Vargas de São Paulo (FGV-SP). É professor da Universidade Nove de Julho (UNINOVE), com atuação em administração hospitalar e sistemas de saúde, e colabora com os programas de pós-graduação em Gestão de Sistemas de Saúde e em Cidades Inteligentes e Sustentáveis. Suas pesquisas tratam de governança, equidade e transparência no uso de inteligência artificial em contextos assistenciais.

    References

    Char, D. S., Shah, N. H., & Magnus, D. (2018). Implementing machine learning in health care. New England Journal of Medicine, 378, 981-983.

    Esteva, A., et al. (2019). A guide to deep learning in healthcare. Nature Medicine, 25, 24-29.

    Kelly, C. J., et al. (2019). Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine, 17, 195.

    Obermeyer, Z., et al. (2019). Dissecting racial bias in an algorithm used to manage population health. Science, 366(6464), 447-453.

    Wiens, J., et al. (2019). Do no harm: a roadmap for responsible machine learning for health care. Nature Medicine, 25, 1337-1340.

    World Health Organization. (2021). Ethics and governance of artificial intelligence for health.

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    Published

    2025-12-05

    Issue

    Vol. 2 (2025)

    Section

    Articles

    License

    Creative Commons License

    This work is licensed under a Creative Commons Attribution 4.0 International License.

    Articles published by Noemica Journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Sharing and adapting the content is permitted for any purpose, provided appropriate credit is given to the authors and the original publication.

    How to Cite

    Responsible Governance of Artificial Intelligence in Healthcare Systems: Transparency, and Institutional Capacity. (2025). Noemica Journal, 2(1). https://noemicajournal.org/noemica/article/view/4

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