Background: Clinical decision support tools based on predictive analytics can provide actionable information and improve clinical outcomes for patients at risk of developing sepsis. Scoring systems such as Systemic Inflammatory Response Syndrome (SIRS) and National Early Warning Score (NEWS) that were not specifically trained to detect sepsis tend to have high false alarm rates, leading [...]

Background: Clinical decision support tools based on predictive analytics can provide actionable information and improve clinical outcomes for patients at risk of developing sepsis. Scoring systems such as Systemic Inflammatory Response Syndrome (SIRS) and National Early Warning Score (NEWS) that were not specifically trained to detect sepsis tend to have high false alarm rates, leading [...]

Background: Delirium is a prevalent and dangerous state of confusion that affects millions >65 years of age (1-3). Delirium is underdiagnosed and undertreated due to lack of effective screening methods (4, 5).  Undetected delirium in hospitalized elderly patients substantially increases mortality, length of stay, and post-discharge institutionalization rates (1-3). Beyond being a very dangerous condition [...]

Background: Early identification of sepsis is the main driver for patient survival. Roughly 30% of patients diagnosed with severe sepsis do not survive. To drive the desired clinical behavior, it is crucial to identify appropriate sensitivity and specificity of a sepsis early detection system. At our institution, we saw a 515% increase in Sepsis Alerts [...]