Design and Development of an Automated Feedback and Scoring System for Self-directed Learning of Flexible Nasal Endoscopy With an Airway Simulator
Marcos Llorente , Secundino Fernández
Introduction: The AirSim Multi (TruCorp) airway simulator is used to practice exploration of the upper respiratory tract with a flexible endoscope to assess the nasal cavities, their structures and spaces (inferior, middle, and superior turbinates and meati), and the nasopharynx.
The passage of the flexible endoscope through the nose is usually the most annoying and painful maneuver to continue the exploration of the airway to the pharynx and larynx. For this reason, it is important to develop self-assessment training systems in safe environments that allow trainees to develop the necessary skills to carry out this type of assessment with the least inconvenience and the greatest security.
Despite this simulator's accurate anatomical reproduction of the tract, its suitability as a tool for endoscope exploration learning is limited without a feedback system. Effective endoscopic exploration should not cause pain or lesions, not only for comfort and safety reasons, but also because only when discomfort is minimized is a complete and detailed exploration of the anatomical structures possible.The objective of the project was to provide a feedback system from the simulator to the trainee that would facilitate improvements in self-trained skills needed to perform an endoscopic exploration of the airways.
Methods: A device based on the Hall-effect sensor was designed and placed outside the airway in the upper nasal turbinate. This device detects changes in the magnetic flux, indicating a displacement on the nasal turbinate due to endoscopic maneuvers that deform the inside of the simulator and would be expected to be harmful or painful in real life.
Results: The improved AirSim provides audible and visual feedback during exploration to indicate a change on the nasal turbinate due to endoscopic contact with the turbinate surface that would be expected to be harmful or painful in real life. We expect this feature to facilitate self-learning with minimal professional supervision and reduce the overall training time required to successfully perform a complete exploration of the airway.
Conclusions: The inclusion of sensors on a passive simulator is a cost-effective measure that may allow for better training experiences using AirSim Multi simulator from the TruCorp company. Our improved simulator turns endoscopic exploration into a self-assessed exercise suitable for all disciplines and level of learners.