A training simulator for detecting equipment failure in the anaesthetic machine

Area of Science:

• Medical Simulation
• Anesthesiology
• Medical Device Engineering

Background:

• Simulation is crucial for training in high-risk professions.
• Anesthetic machines are complex devices with critical safety implications.
• Existing training methods may not adequately prepare personnel for all potential machine failures.

Purpose of the Study:

• To develop and evaluate a realistic training simulator for anesthetic machines.
• To enhance the ability of trainees to identify and respond to machine malfunctions.
• To improve the safety and efficacy of anesthetic procedures through better training.

Main Methods:

• Modification of a standard anesthetic machine (Dameca 10750) with concealed internal alterations.
• Integration of a mobile control unit to selectively activate 20 pre-set technical faults.
• Interactive training sessions involving trainees and instructors, simulating unexpected machine failures.
• Trainees also activated simulated faults to learn functional principles and safety checklists.

Main Results:

• The simulator realistically reproduces a wide range of potential anesthetic machine malfunctions.
• Trainees engaged in hands-on experimentation, interpreting error symptoms and functional principles.
• The simulator facilitated systematic learning of safety checklist procedures for anesthetic machines.
• The external appearance of the anesthetic machine remained unchanged, preserving realism.

Conclusions:

• The developed anesthetic machine simulator provides a realistic and effective training tool.
• This simulation enhances personnel's ability to manage unexpected technical faults during anesthesia.
• The simulator contributes to improved patient safety by reinforcing knowledge of machine function and failure modes.