This project aims at testing the benefits of eye tracking aided learning in Basic Life Support simulated scenarios.
Start: 2019 – End: 2020
Measuring nurses’ eye movements to improve patient safety behavior in simulated healthcare
Vision is the primary sense allowing us to collect information about the world surrounding us. Not surprisingly, research has shown the existing link between what we look at and what we think of at a given moment. Today, eye tracking technology allows to measure gaze behavior during performance of a task, providing reliable quantitative data. Recent studies in clinical settings show that students exposed to gaze patterns of experts exhibit better performance than traditionally trained learners.
This project aims at testing the benefits of eye tracking aided learning in Basic Life Support simulated scenarios. In such emergency situations, rapid identification of relevant information is paramount to enhance a victim’s survival probabilities. Our goal is to improve the training of future rescuers by showing them of an expert would concretely act, with the ultimate goal of improving patient safety.