Beyond the clinic: Ethical and managerial challenges of AI adoption in small-state health systems

Abstract

The rapid integration of Artificial Intelligence (AI) into healthcare has generated significant global debate on its benefits, risks, and ethical implications. While much of this discourse centres on technological performance and clinical outcomes, far less attention has been paid to the managerial and governance challenges regarding AI adoption, particularly in small states with constrained resources. This paper takes Trinidad and Tobago as an illustrative example to explore the dual nature of AI in healthcare, both as an ethical and a managerial issue. Drawing on initiatives such as robotics, oncological diagnostics, and e-health platforms, the paper examines how external factors, including workforce competence, administrative capacity, leadership, cultural trust, and institutional governance, shape AI adoption outcomes. Ethical pillars, autonomy, beneficence, non-maleficence, and justice, are mapped onto managerial concerns such as risk management, strategic alignment, stakeholder trust, and resource allocation. We propose an integrated framework of policy and organisational recommendations, strengthening regulatory frameworks, building workforce competence, institutionalising audits, incentivising responsible practices, and ensuring transparency. By bridging ethics and management, the paper positions small states not as peripheral actors but as examples of how to enact responsible AI governance through globally relevant lessons regarding digital transformation in healthcare and beyond.

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