The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centered Paradigm to Optimize Healthcare Outcomes

This article aimed to examine the philosophy of Artificial Intelligence (AI) in healthcare and present a novel framework that could bridge philosophy, ethics, and leadership to promote the responsible and human-centered integration of AI. Moving beyond efficiency and innovation, it explored the deeper philosophical, moral, and human dimensions of AI's evolving role in care delivery. The proposed framework incorporated teleology, ontology, epistemology, axiology, and ethics to provide a structured foundation for guiding AI development, implementation, and governance through purpose, knowledge, values, and moral action. Grounded in these principles, it highlights the leadership approaches that foster accountability, organizational readiness, and ethical stewardship in AI adoption. These insights informed the development of a framework designed to align AI with human values and to promote compassionate, ethical, and sustainable applications that enhance healthcare outcomes while preserving the essence of human care.

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Publication Details

Journal
Healthcare Management Forum
Published
2025-11-21
DOI
https://doi.org/10.1177/08404704251394950
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centered Paradigm to Optimize Healthcare Outcomes

Holly Wei, Sylvain Trepanier, Trent L. Wei, David R. Marshall et al.
2 citations
Healthcare Management Forum
Artificial Intelligence in Healthcare and Education
1.31
article

The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centered Paradigm to Optimize Healthcare Outcomes

Holly Wei, Sylvain Trepanier, Trent L. Wei, David R. Marshall, Darrin D’Agostino, R. L. Wiley
article en
2 citations

Abstract

This article aimed to examine the philosophy of Artificial Intelligence (AI) in healthcare and present a novel framework that could bridge philosophy, ethics, and leadership to promote the responsible and human-centered integration of AI. Moving beyond efficiency and innovation, it explored the deeper philosophical, moral, and human dimensions of AI's evolving role in care delivery. The proposed framework incorporated teleology, ontology, epistemology, axiology, and ethics to provide a structured foundation for guiding AI development, implementation, and governance through purpose, knowledge, values, and moral action. Grounded in these principles, it highlights the leadership approaches that foster accountability, organizational readiness, and ethical stewardship in AI adoption. These insights informed the development of a framework designed to align AI with human values and to promote compassionate, ethical, and sustainable applications that enhance healthcare outcomes while preserving the essence of human care.

Healthcare Management Forum
Texas Tech University (US), Cedars-Sinai Medical Center (US), Cleveland Clinic (US), Hendrick Medical Center (US), Texas Tech University Health Sciences Center (US), Providence Health & Services (US)
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
1.31
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