Objective: Predictive models developed for use in ICUs have been based on retrospectively collected data, which does not take into account the challenges associated with live, clinical data. This study sought to determine if a previously constructed predictive model of ICU mortality (ViSIG) is robust when using data collected prospectively in near real-time.
Design: Prospectively collected data were aggregated and transformed to evaluate a previously developed rolling predictor of ICU mortality.