Boston Children's Hospital Deploys Etiometry AI for ICU Clinical Decision Support

Boston Children's Hospital has enhanced care delivery with a clinical intelligence platform powered by Etiometry's AI algorithms. The platform collects high-resolution physiologic data from ICU patients in real time, providing clinicians with decision support for early intervention. The system integrates with the hospital's existing Epic EHR, pulling continuous streams of patient vital signs and applying machine learning models to identify deterioration risk. Clinical teams receive alerts when patients show early signs of sepsis, respiratory failure, or hemodynamic instability. The platform has reduced unplanned ICU transfers by enabling earlier recognition of patient deterioration. Boston Children's is using the technology in multiple ICUs across the hospital, covering cardiac, medical, and surgical units. The Etiometry platform analyzes trends in vital signs, ventilator settings, and laboratory values to generate risk scores updated every minute. This real-time monitoring enables the clinical team to prioritize their attention on the highest-risk patients while maintaining visibility across all monitored beds.