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Contribution to the Application of the Adaptive Governance Model to Healthcare Systems
Authors:
Karim Hardy
Keywords: Adaptive Governance; Healthcare Systems; Resilience; Artificial Intelligence; Emergency Management
Abstract:
Healthcare systems increasingly face complex challenges from evolving patient demands, rapid technological advances, and sudden systemic disruptions, such as pandemics or demographic shifts. Traditional governance approaches often rely on static regulations, centralized decision-making, and rigid structures, limiting their effectiveness under dynamic conditions. This article proposes the Adaptive Governance Model (AGM) as an innovative framework to enhance healthcare resilience, safety, and operational efficiency. AGM integrates real-time adaptability, decentralized decision-making, and cross-sector collaboration, supported by artificial intelligence and advanced analytics. The article identifies clear benefits and discusses key implementation challenges by exploring the practical applications of AGM within hospital management, public health crisis response, and emergency medical systems. The practical integration of AI technologies, particularly predictive analytics and neural networks is addressed explicitly. Finally, directions for future research and pilot implementation strategies are proposed to further validate and refine AGM for widespread adoption in healthcare governance.
Pages: 9 to 13
Copyright: Copyright (c) IARIA, 2025
Publication date: May 18, 2025
Published in: conference
ISSN: 2308-3700
ISBN: 978-1-68558-280-7
Location: Nice, France
Dates: from May 18, 2025 to May 22, 2025