Artificial Intelligence in Non-Clinical Functions: A Strategic Framework for Healthcare Organizations

Artificial Intelligence (AI) has demonstrated significant potential in healthcare, particularly in clinical applications such as diagnostics and personalized treatment. However, the application of AI in non-clinical areas, such as operational efficiency, data governance, and data monetization, remains underexplored. This paper addresses this gap by proposing an AI-driven framework for healthcare organizations, synthesizing existing literature on AI applications and data management. Using a qualitative approach, this study identifies six key areas where AI can enhance non-clinical operations: data governance and quality management, technological infrastructure and scalability, leadership and workforce development, operational efficiency, data monetization, and ethical considerations. The framework provides a strategic framework for healthcare organizations to adopt AI technologies effectively while ensuring compliance with local and international regulations. This paper contributes to the growing body of research by offering practical solutions for leveraging AI to improve healthcare administration and create new revenue streams through data valorization.