Error Detection-Based Model to Assess Educational Outcomes in Crisis Resource Management Training: A Pilot Study

Area of Science:

• Medical Simulation
• Surgical Education
• Patient Safety

Background:

• Otolaryngology-head and neck surgery (OTL-HNS) residents encounter infrequent, high-stress clinical situations early in training.
• Simulation-based learning is established in other medical fields and growing in OTL-HNS for managing rare events.
• Crisis Resource Management (CRM), adapted from aviation, mitigates human error in crises through situational awareness and resource optimization.

Purpose of the Study:

• To integrate Crisis Resource Management (CRM) principles into an airway simulation course for OTL-HNS residents.
• To evaluate the effectiveness of the integrated CRM airway simulation course in meeting learning objectives.
• To assess resident performance using a novel error identification model.

Main Methods:

• Development and implementation of an airway simulation course incorporating CRM principles for OTL-HNS residents.
• Utilized a novel error identification model to assess resident performance during simulated crisis scenarios.
• Collected data on learning objective achievement and error identification.

Main Results:

• The pilot project successfully integrated CRM principles into the OTL-HNS airway simulation curriculum.
• The novel error identification model provided a framework for evaluating resident performance and learning.
• Preliminary data suggests the simulation course effectively addressed key learning objectives related to crisis management.

Conclusions:

• Integrating CRM principles into OTL-HNS airway simulation is feasible and beneficial for resident training.
• Simulation-based CRM training can enhance resident preparedness for high-stress, low-frequency events.
• Further research with the error identification model can refine simulation-based training in OTL-HNS.