This paper explores the integration of artificial intelligence (AI) into healthcare management during natural disasters, aiming to enhance disaster response efforts. The authors propose a framework that leverages AI technologies such as predictive analytics, machine learning, robotics, and interoperable communication systems to optimize resource allocation, improve patient triage, and enhance overall system resilience. Through a comprehensive review of existing literature and case studies, the paper identifies gaps in current disaster management practices and highlights the potential of AI to address these challenges. The objectives of the paper are twofold: to define a strategic approach for incorporating AI into disaster response protocols and to outline the expected outcomes of implementing such a framework. The expected benefits include expedited triage processes, more accurate resource allocation, and improved communication systems, ultimately leading to better patient outcomes and enhanced system efficiency. The paper emphasizes the importance of interdisciplinary collaboration and addresses ethical considerations and potential challenges associated with AI implementation in disaster settings. In conclusion, the paper underscores the critical role of AI in bolstering healthcare management capabilities during natural disasters, enabling healthcare systems to become more adaptive, responsive, and resilient in the face of unforeseen challenges.This paper explores the integration of artificial intelligence (AI) into healthcare management during natural disasters, aiming to enhance disaster response efforts. The authors propose a framework that leverages AI technologies such as predictive analytics, machine learning, robotics, and interoperable communication systems to optimize resource allocation, improve patient triage, and enhance overall system resilience. Through a comprehensive review of existing literature and case studies, the paper identifies gaps in current disaster management practices and highlights the potential of AI to address these challenges. The objectives of the paper are twofold: to define a strategic approach for incorporating AI into disaster response protocols and to outline the expected outcomes of implementing such a framework. The expected benefits include expedited triage processes, more accurate resource allocation, and improved communication systems, ultimately leading to better patient outcomes and enhanced system efficiency. The paper emphasizes the importance of interdisciplinary collaboration and addresses ethical considerations and potential challenges associated with AI implementation in disaster settings. In conclusion, the paper underscores the critical role of AI in bolstering healthcare management capabilities during natural disasters, enabling healthcare systems to become more adaptive, responsive, and resilient in the face of unforeseen challenges.