Artificial intelligence (AI) in health systems: introducing a ‘Do Good’ approach

The integration of Artificial Intelligence (AI) in health systems has the potential to revolutionize healthcare delivery, but it also raises significant concerns regarding bias, transparency, and accountability. This paper proposes a novel “Do Good” framework that prioritizes patient-centered design, transparency, and accountability in AI development and deployment, addressing the limitations of existing approaches. By combining human rights, bioethics, and health systems principles, our framework provides a comprehensive and proactive approach to ensuring that AI systems are safe, effective, and equitable. Our analysis highlights the need for a paradigm shift in healthcare ethics and practice, from a traditional “Do No Harm” principle to a more proactive “Do Good” approach, enabled by AI. We demonstrate the applicability of our framework through a critical examination of existing regulatory processes, health technology assessment, and public procurement of AI, and identify key areas for future research and development.

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Publication Details

Journal
AI and Ethics
Published
2025-10-08
DOI
https://doi.org/10.1007/s43681-025-00757-x
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

Artificial intelligence (AI) in health systems: introducing a ‘Do Good’ approach

Themis P. Exarchos, Elsa Papadopoulou, Joana Namorado, Sasa Jenko et al.
2 citations
AI and Ethics
Artificial Intelligence in Healthcare and Education
1.31
article

Artificial intelligence (AI) in health systems: introducing a ‘Do Good’ approach

Themis P. Exarchos, Elsa Papadopoulou, Joana Namorado, Sasa Jenko, Katarina Krepelkova
article en
2 citations

Abstract

The integration of Artificial Intelligence (AI) in health systems has the potential to revolutionize healthcare delivery, but it also raises significant concerns regarding bias, transparency, and accountability. This paper proposes a novel “Do Good” framework that prioritizes patient-centered design, transparency, and accountability in AI development and deployment, addressing the limitations of existing approaches. By combining human rights, bioethics, and health systems principles, our framework provides a comprehensive and proactive approach to ensuring that AI systems are safe, effective, and equitable. Our analysis highlights the need for a paradigm shift in healthcare ethics and practice, from a traditional “Do No Harm” principle to a more proactive “Do Good” approach, enabled by AI. We demonstrate the applicability of our framework through a critical examination of existing regulatory processes, health technology assessment, and public procurement of AI, and identify key areas for future research and development.

AI and EthicsVol. 5(6)
Citigroup (US), Ionian University (GR), University of Washington (US), European Commission (BE), European Research Council (BE), Digital Europe (BE), Seattle University (US)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
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Artificial intelligence (AI) in health systems: introducing a ‘Do Good’ approach — Themis P. Exarchos, Elsa Papadopoulou, et al. · AI and Ethics (2025) | TGRS Research Map | TGRS