This paper explores the integration of artificial intelligence (AI) into healthcare management during natural disasters to enhance preparedness, response, and recovery efforts. Natural disasters often disrupt healthcare delivery, exacerbating challenges for healthcare systems. AI offers a promising solution to optimize resource allocation, improve patient triage, and enhance system resilience. The paper proposes a framework for AI integration in disaster response, emphasizing interdisciplinary collaboration between healthcare professionals, technologists, policymakers, and disaster response experts. It highlights the potential of AI technologies such as predictive analytics, machine learning, and robotics to transform healthcare delivery in crisis situations. The objectives of the paper are to define a strategic approach for incorporating AI into disaster response protocols and to outline the expected outcomes of implementing such a framework. 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 also addresses ethical considerations and potential challenges associated with AI implementation in disaster settings. It concludes that AI plays a critical role in bolstering healthcare management capabilities during natural disasters, enabling healthcare systems to become more adaptive, responsive, and resilient in the face of unforeseen challenges. By leveraging AI technologies, healthcare systems can save lives and minimize the impact of disasters on communities.This paper explores the integration of artificial intelligence (AI) into healthcare management during natural disasters to enhance preparedness, response, and recovery efforts. Natural disasters often disrupt healthcare delivery, exacerbating challenges for healthcare systems. AI offers a promising solution to optimize resource allocation, improve patient triage, and enhance system resilience. The paper proposes a framework for AI integration in disaster response, emphasizing interdisciplinary collaboration between healthcare professionals, technologists, policymakers, and disaster response experts. It highlights the potential of AI technologies such as predictive analytics, machine learning, and robotics to transform healthcare delivery in crisis situations. The objectives of the paper are to define a strategic approach for incorporating AI into disaster response protocols and to outline the expected outcomes of implementing such a framework. 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 also addresses ethical considerations and potential challenges associated with AI implementation in disaster settings. It concludes that AI plays a critical role in bolstering healthcare management capabilities during natural disasters, enabling healthcare systems to become more adaptive, responsive, and resilient in the face of unforeseen challenges. By leveraging AI technologies, healthcare systems can save lives and minimize the impact of disasters on communities.