AI Adoption in Urban Healthcare: Managed Resource Allocation through Policy Formulation for Governance and Sustainability
Year: 2024
Type: conference-paper
Abstract: 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.
Authors: Shrey Arora, Krishna Kumar Singh
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4403854098