Cristina Pruenza

Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment

Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-based systems have limited accuracy and real-world evidence for machine-learning alternatives remains scarce. In this context, BIAlert-Sepsis predicts sepsis risk within 24 hours using historical hospital data, and evalu...