Low frequency, catastrophic consequence events require rigorous, muscle-memory preparation. Emerge Medical delivers the UK’s most realistic simulation environment for multi-casualty trauma, counter-terror, and toxicological crises.
Implements dynamic Triage Sieve & Sort (TST) frameworks under high-stress temporal pressure. Virtual casualties exhibit active physiological deterioration, requiring rapid classification and intervention prioritisation.
Derived from our leadership's direct role co-leading moulage for Metropolitan Police Counter-Terrorism exercises involving hundreds of officers and actors. High fidelity penetrating gunshot wounds, blast fragmentation, blast lung, and penetrating trauma injuries and predictive physiology.
Simulate Chemical, Biological, Radiological, and Nuclear (CBRN) hazards alongside toxic industrial chemicals, modelling acute toxicological deterioration, antidote administration, and contaminated casualty management.
A closed-loop training architecture built to test cognitive readiness and operational resilience.
Measures and monitors arriving assets, mutual aid, and clinical teams. The platform records exact arrival timestamps, asset staging, and deployment schedules, tracking their real-time impact within the live simulation.
Continuous monitoring of all personnel involved throughout the exercise. Tracks responder locations, individual clinical interventions, and the speed and efficacy of medical actions executed on scene.
Casualties bleed at realistic rates; airway interventions resolve obstructive waveforms; thoracostomies relieve tension physiology. Untreated injuries trigger active physiological deterioration autonomously.
Timestamped telemetry produces comprehensive debriefs evaluated against quantitative KPIs, objective performance measurements, intervention latencies, and overall casualty survivability outcomes.
Contact our clinical simulation team to configure a custom scenario exercise tailored to your emergency service, trust, or defence unit.
Book a Simulation Consultation →