Detecting patient deterioration using artificial intelligence in a rapid response system.

This study compared an artificial intelligence (AI)-based early warning system using machine learning with conventional trigger methods for predicting deterioration among hospitalized patients, defined as in-hospital cardiac arrest resulting in ICU admissions. The AI system accurately predicted deterioration and was more accurate than conventional methods, demonstrating its potential effectiveness in EHR-based rapid response systems.