Framework for Responsible AI Governance in Healthcare

This white paper presents a strategic framework for responsible AI governance in regulated healthcare systems, emphasizing the importance of maintaining human expertise alongside AI capabilities. It outlines the critical challenges organizations face in harnessing AI while ensuring patient safety and compliance with regulatory standards. The document details five interconnected pillars of responsible AI governance: hybrid intelligence, governance advantage, ethics as ROI, knowledge preservation, and regulatory compliance. It stresses that AI should enhance human judgment rather than replace it, highlighting the necessity of human oversight in clinical settings. The paper also discusses the evolving regulatory landscape and the imperative for organizations to adapt their governance frameworks to meet current and future requirements. Additionally, it addresses the importance of AI literacy as a regulatory mandate and the need for organizations to demonstrate workforce competency in understanding AI limitations and ethical considerations. The ultimate goal is to ensure that AI systems contribute positively to patient outcomes and safety improvements.