Designed and built by clinicians, for clinicians.
Unlike scripted branching trees where outcomes are pre-determined, Emerge Medical’s engine calculates continuous cardiovascular, respiratory, and metabolic variables in real-time. Casualties bleed at realistic rates; airway management resolves obstructive end tidal waveforms; thoracostomies relieve tension physiology.
Tailor-made simulation exercises engineered specifically around your organisation's operational environments, clinical guidelines, and resilience training objectives. We configure custom casualty profiles, environmental hazards, and evolving crisis triggers to meet your precise learning outcomes.
Supports concurrent multi-user participation across decentralized locations. Features an integrated Exercise Control (EXCON) live dashboard that provides exercise directors with real-time operational visibility, casualty deterioration tracking, and scenario flow control with sub-100ms latency.
Capture critical clinical decisions and interventions with millisecond timestamps. Automated debrief dashboards visualise time-to-critical-intervention, triage accuracy, and protocol compliance across all simulated casualties to provide constructive, evidence-based feedback.
Generic artificial intelligence is trained on hospital-based literature and textbook descriptions recorded hours after injury. It cannot replicate the volatile, transient physiology of the hyperacute phase seen only at the roadside and in the warm zone.
Most medical textbooks and clinical literature describe symptomology and signs upon arrival at an Emergency Department, often 45 to 90 minutes post-insult, after initial stabilisation or survival bias has set in. Standard AI models trained on these datasets have zero visibility into the immediate minutes following wounding, leading to sanitised, clinically inaccurate physiological assumptions.
The first 5 to 15 minutes of major trauma present unique physiological phenomena: acute traumatic coagulopathy, paradoxical autonomic bradycardia in severe exsanguination, blast lung barotrauma, and rapid airway compromise. These transient deterioration curves cannot be reverse-engineered by LLMs from retrospective hospital charts.
AI cannot replicate clinician experience of managing real casualties in real life under tactical and environmental pressure. Emerge Medical’s physiological engines are built and validated directly by practising pre-hospital flight clinicians who manage catastrophic trauma in the field, delivering genuine mechanism-pathology fidelity.
Built for government resilience teams, NHS trusts, and defence clients operating in austere environments.
System has the ability to be delivered within concrete buildings or remote terrain; using a mixture of LTE and Satellite technology.
Commercial Android and iOS tablets replicate the exact interfaces and workflows of standard frontline pre-hospital monitors. Electronic casualty ID auto-reads upon sensor placement.
Eliminates the costly requirement for 1 instructor per patient. A single Exercise Controller (EXCON) oversees dozens of casualties responding autonomously in real time.
UK/EU GDPR compliant. Ready for NHS Data Security & Protection Toolkit (DSPT) standards and Cyber Essentials Plus framework, with optional air-gapped on-premise appliances.
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