Abstract
This paper provides a comprehensive analysis of artificial intelligence (AI) implementation in Ghana's healthcare system, synthesizing findings from recent Ghanaian studies. It examines legal and regulatory frameworks, ethical considerations, bias and fairness, transparency and accountability, interdisciplinary approaches, patient rights and data protection, healthcare access and equity, and implementation and oversight. The analysis reveals both significant opportunities for AI to improve healthcare delivery in Ghana and substantial challenges in ensuring its ethical, equitable, and effective implementation. Key findings highlight the need for AI-specific healthcare regulations, investment in local capacity building, culturally sensitive AI design, robust fairness and accountability mechanisms, and ongoing stakeholder engagement. This paper contributes to the discourse on AI in healthcare in developing countries, offering insights into the unique challenges faced by lower-middle-income countries. It aims to inform evidence-based policymaking and enrich academic understanding of AI implementation in diverse cultural and economic contexts.
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