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Low-cost high-fidelity anaesthetic simulation.
D A Hartwell1, M Grayling, R R Kennedy
1Department of Anaesthesia, Christchurch Hospital, Christchurch, New Zealand.
Anaesthesia and Intensive Care
|May 6, 2014
Summary
This study presents a low-cost, high-fidelity anesthetic simulator for training. Utilizing existing equipment, it enables effective team-based simulations and critical airway assessments for trainees.
Area of Science:
- Medical Simulation
- Anesthesiology Training
- Healthcare Education Technology
Background:
- Simulation is a valuable training tool in healthcare, but high costs and infrastructure needs limit its adoption in smaller facilities.
- Effective simulation relies on debriefing and repetition, influenced by simulator technical features.
- Existing manikin simulators present barriers for resource-limited healthcare settings.
Purpose of the Study:
- To describe a cost-effective method for creating a high-fidelity anesthetic simulator.
- To demonstrate the utility of this low-cost simulator for team-based in situ simulations and specific trainee assessments.
- To offer a viable simulation solution for peripheral healthcare centers.
Main Methods:
- Modification of existing basic manikins and integration with biomedical calibration machines.
- Development of a high-fidelity anesthetic simulator with minimal institutional cost.
- Implementation of team-based in situ simulations and 'can't intubate, can't oxygenate' assessments.
Main Results:
- The developed simulator effectively supported high-fidelity, team-based in situ simulations.
- The simulator facilitated 'can't intubate, can't oxygenate' assessments for anesthetic trainees.
- The solution proved to be a minimal-cost alternative to commercial simulators.
Conclusions:
- A low-cost, high-fidelity anesthetic simulator can be constructed using readily available institutional equipment.
- This approach provides a practical and affordable method for enhancing anesthetic training in resource-constrained environments.
- Peripheral healthcare facilities can leverage similar strategies to implement regular high-fidelity simulation training.

