Innovative MedEvac Decision, Coordination and Support System for Military Evacuation Scenarios

Abstract

Modern battlefields are characterized by rapid redeployments, expansive operational zones, and evolving threats such as CBRN hazards, all of which render traditional medical support systems insufficient. The iMEDCAP project addresses these challenges by developing an integrated MedEvac Decision, Coordination, and Support System that revolutionizes battlefield casualty management. By leveraging autonomous technologies, the system incorporates advanced sensor networks – including wearable smart textiles and UAV-based multi-sensor reconnaissance – to continuously monitor soldiers’ physiological parameters and rapidly detect injuries. Upon casualty detection, the system activates a coordinated evacuation protocol managed by the Patient Evacuation Coordination Center (PECC), which dynamically allocates unmanned aerial and ground vehicles to transport patients using a specially designed patient transport module that ensures continuous remote monitoring and, if necessary, immediate medical intervention. Key innovations include real-time vital sign monitoring for early injury assessment, a decentralized approach to casualty detection and data integration, and autonomous transport solutions capable of short-, medium-, and long-distance evacuations. In addition, the project integrates diagnostic and intervention technologies that enable remote administration of first aid, significantly reducing the time between injury and critical treatment. This paper details the development, validation, and potential future enhancements of the iMEDCAP system, demonstrating its capacity to improve survival rates and operational efficiency in high-risk military scenarios. Through its user-centered design and robust decision support framework, iMEDCAP lays the groundwork for a next-generation European medical evacuation system, setting new standards in combat medical care.

Keywords: Military Evacuation Scenarios, MedEvac, Decision Support System, Remote Vital-Sign-Sensor Systems, Wearable Vital-Sign-Sensors

DOI: 10.54941/ahfe1006095