Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Augmenting clinical decision-making in intensive care This report presents the outputs of a week-long collaboration between The Alan Turing Institute and Great Ormond Street Hospital. The purpose was to scope how vital signs monitoring data can be better used to inform the removal of a breathing tube (i.e. ‘extubation’) in intensive care units (ICUs). The main objectives were evaluating the effectiveness of different modelling methods for predicting whether an extubation attempt was successful (a failed attempt was defined as re-intubation within 48 hours of attempted extubation).