935 Transforming Tracheostomy Care: Leveraging Thematic Analysis to Inform VR Training and AI Instructor Development

Abstract

Abstract Background Tracheostomy is a surgical procedure that creates an opening in the trachea to facilitate breathing when normal airway function is impaired. To improve the quality and safety of tracheostomy care, the National Tracheostomy Safety Project (NTSP) developed a Virtual Reality (VR) training course focused on hands-on skill development. This project extends the NTSP's efforts by creating a comprehensive question bank, informed by thematic analysis of feedback from the Improving Tracheostomy Care (ITC) project. Aim Develop a question bank to train an Artificial Intelligence (AI) instructor for the VR training course. Enable real-time clinical query responses through the AI instructor, enhancing learner support during training. Method Healthcare professionals participating in the ITC project provided feedback at three key stages: baseline, implementation and evaluation, using appreciative inquiry forms. The feedback was analysed using Braun and Clarke's six-phase framework for thematic analysis. Participant insights were coded, formulated into questions and grouped into four primary themes. Results The questions were categorised into four main themes: fundamentals, emergency, collaboration and training and regulatory and quality assurance, with corresponding subthemes identified. Conclusions Integrating AI and VR into tracheostomy training offers an innovative approach to clinical education, addressing care gaps and enhancing provider proficiency. This study lays the groundwork for an AI-driven instructor by developing a robust question bank as its core knowledge base. The next phase will focus on training the AI and incorporating it into the NTSP course to improve training outcomes by fostering deeper learner engagement.

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