AI Adoption in Urban Healthcare: Managed Resource Allocation through Policy Formulation for Governance and Sustainability

Due to global ongoing urbanization, the healthcare industry faces challenges in providing effective services to growing urban populations. The incorporation of artificial intelligence (AI) provides a solution for improving patient outcomes and healthcare delivery. This study delves into the complexities of AI adoption in urban healthcare, focusing on the co-vectors of initiation and implementation. The study, which emphasizes the critical role of public policy, employs controlled variables to ensure efficient governance and long-term sustainability. AI integration is motivated by key factors such as technological advancements, cost-effectiveness, and meeting urban healthcare needs. The study contributes to a better understanding of the relationship between technology adoption, policy formation, and sustainable urban development. The study identifies optimal practices and roadblocks in the transformative journey toward AI-enabled urban healthcare using empirical evidence and case studies. The findings highlight the importance of a comprehensive strategy that integrates public policy and technological innovation to ensure equitable access, efficient resource utilization, and improved healthcare outcomes for urban populations. Policymakers, healthcare professionals, and stakeholders can learn a lot about how to build resilient and forward-thinking urban healthcare systems.