Digital Resus Room: Scalable Simulation for Extreme and Remote Care

Pre-hospital Care, Research Presentations, Technology
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How can we deliver high-quality simulation training when access to faculty, equipment, and clinical exposure is limited?

In this webinar, critical care nurse and simulation innovator Martien Strik joins World Extreme Medicine’s Eoin Walker to explore the Digital Resus Room, a browser-based simulation platform designed to support remote, scalable, and collaborative clinical training.

Drawing on experience in emergency medicine, intensive care, pre-hospital care, virtual reality, and artificial intelligence, Martien demonstrates how digital patient models, dynamic physiology, and AI-enhanced feedback can create engaging simulation experiences without the need for expensive simulation centres or VR equipment.

The discussion explores the evolution of the platform from micro-learning modules and scenario-based training to a multi-user digital resuscitation environment where participants can assess, manage, and treat virtual patients in real time.

Topics covered include:

• AI-assisted simulation and clinical reasoning
• Multi-user remote training environments
• Dynamic patient physiology and treatment responses
• Team communication and leadership in resuscitation scenarios
• Environmental factors in extreme medicine training
• Personalised learning pathways and AI-generated feedback
• The future of scalable simulation education

Whether you’re involved in expedition medicine, remote healthcare, critical care, medical education, or simulation training, this session offers insight into how emerging technologies may help bridge training gaps and improve accessibility worldwide.

More Information

Length: 33m
Guests: Martien Strik
Host: Eoin Walker

Intended Learning Outcomes

By the end of this session, participants should be able to:

  1. Describe the concept and purpose of the Digital Resus Room as a scalable simulation platform for healthcare education.
  2. Explain how browser-based simulation can support clinical training in remote, resource-limited, and geographically dispersed settings.
  3. Discuss the role of artificial intelligence in dynamically adjusting patient physiology, guiding scenarios, and supporting personalised learning.
  4. Recognise the educational benefits and limitations of digital simulation compared with traditional manikin-based and immersive simulation approaches.
  5. Identify how simulation scenarios can be used to develop clinical reasoning, decision-making, communication, and team leadership skills.
  6. Understand how environmental factors, such as extreme temperatures and remote operational contexts, can be incorporated into digital simulation exercises.
  7. Explore the potential applications of multi-user simulation platforms for interprofessional education and remote team training.
  8. Appreciate the importance of structured debriefing, performance analysis, and feedback in simulation-based learning.
  9. Evaluate how AI-assisted feedback and personalised learning pathways may support ongoing professional development.
  10. Consider future opportunities for integrating digital simulation technologies into healthcare education, operational medicine, and extreme environment training.

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