When clinicians receive high-quality team training for managing healthcare emergencies, such as in-hospital cardiac arrests, patients have a better chance of surviving. However, the high cognitive demands involved in complex decision making and team management can harm performance, particularly among healthcare professionals in training or in new roles. This project aims to understand and improve how medical professionals learn to work as an effective team by detecting and managing the mental demands they face during high-stakes events. By leveraging multimodal data (e.g., heart rate, speech, gaze) within team-based immersive virtual reality, this project enables trainee teams to practice in a controlled, simulated environment while receiving "just enough, just in time, and just for you" feedback at both individual and team levels. The ultimate goal is to equip trainees with strategies for making rapid, accurate, and repeatable decisions while effectively executing tasks to save lives. The project's outputs, including an open-source database documenting types of cognitive load triggers and corresponding strategies for regulating cognitive load, are designed to support a wide range of stakeholders, including medical educators, quality and safety professionals, human factors engineers, and those developing cardiac arrest response guidelines. The training methods developed in this research could also benefit other fields that rely on expert teams, including aviation, emergency