Analysing the Suitability of Artificial Intelligence in Healthcare and the Role of AI Governance

In recent years, artificial intelligence (AI) has become more important in healthcare. It has the ability to completely change how patients are diagnosed, treated, and cared for. To make sure AI is properly supervised in healthcare, many problems need to be solved. This calls for a broad approach that includes policy, technology, and involving important people. This study investigates the governance of AI within healthcare, highlighting the importance of policy, technology, and stakeholder engagement. Adopting a mixed-methods research design, the study encompasses surveys, interviews, and document analysis to comprehensively explore diverse perspectives on AI governance. Purposive sampling techniques were employed to gather 897 valid samples, ensuring diversity across stakeholder groups. Surveys gathered quantitative data on demographic characteristics and attitudes toward AI governance, while interviews provided deeper insights into stakeholders' experiences and recommendations. Document analysis supplemented data collection by reviewing policy documents, guidelines, and academic literature related to AI governance. This study merges quantitative and qualitative data to thoroughly investigate AI governance, enabling the identification of policy implications and actionable recommendations. This study contributes novel insights by adopting a comprehensive approach to AI governance in healthcare, integrating policy, technology, and stakeholder engagement perspectives. Unlike previous studies focusing solely on individual aspects of AI governance, this research provides a holistic understanding of the complex dynamics involved. This research offers important insights into AI governance by investigating the impact of stakeholder engagement, ethical considerations, digital health disparities, governance structures, and health communication strategies on AI integration in healthcare, ultimately aiding in policy development and implementation.