Authors: Shubhangi Murukate, Professor Dr. Ayesha Siddiqui
Abstract: Healthcare emergencies require rapid, coordi- nated, and intelligent responses. This paper proposes an AI- enabled emergency response optimization system integrated with blockchain-based smart contracts to enhance efficiency, transparency, and automation in critical healthcare scenarios. The system leverages machine learning for incident prediction and prioritization, while smart contracts ensure secure, real- time collaboration among hospitals, ambulances, and government agencies. Experimental simulations show improved response time and reduced resource allocation errors. The proposed system can significantly strengthen emergency preparedness and crisis response in healthcare.
