Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams

A mass casualty incident (MCI) is a situation in which casualties greatly outnumber available local resources, eventually overwhelming the local healthcare system within a short time frame [1] . When responders arrive at the scene of an MCI, one of their first tasks is to locate individuals and assess their injuries promptly, known as triage. After triaging victims, responders physically tag them with a color-coded label indicating their injury severity before identifying other victims. Fast and efficient victim tagging serves as a critical initial step in the MCI process, providing vital information that guides subsequent decisions. It enables the timely assessment of the total number of victims, their distribution based on the severity of injuries, and their respective locations throughout the MCI environment.