TRANSFORMING EMERGENCY RESPONSE AND DISASTER MANAGEMENT WITH AI: DEVELOPING INTELLIGENT SYSTEMS FOR TRIAGE, RESOURCE ALLOCATION, AND SITUATIONAL AWARENESS IN HEALTHCARE CRISES

Abstract

Emergency response and disaster management in healthcare crises require rapid decision-making, efficient resource allocation, and effective coordination among multiple stakeholders. Artificial intelligence (AI) technologies have the potential to revolutionize emergency response and disaster management by enabling intelligent systems for triage, resource allocation, and situational awareness. This research article explores the development and application of AI-driven solutions in healthcare crises, focusing on their role in optimizing patient triage, managing limited resources, and enhancing situational awareness. By examining case studies, current research, and future prospects, we aim to highlight the transformative potential of AI in improving the efficiency, effectiveness, and resilience of emergency response and disaster management systems. The article also discusses the challenges and considerations associated with the implementation of AI in healthcare crises, including data quality, system interoperability, and ethical concerns.