AI-Assistant for Hemodynamic and Respiratory Management in the ICU
Data overload and staffing pressure make it harder than ever to detect deterioration early and keep patients on protocol.
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October 7, 2025 - 4:00 PM CET (Paris, Berlin, Copenhagen)
Join a live, case-based discussion showing how Etiometry’s FDA-cleared clinical intelligence platform turns live-physiologic and EMR data into bedside decision support – helping reduce ventilation days, shorten length of stay and standardize complex care pathways.
Data-driven clinical intelligence is no longer optional in critical care. The Etiometry platform solves for that challenge by integrating live streams from disparate data sources such as monitors, ventilators, labs, and the EMR and applying AI-powered risk algorithms to surface early signs of deterioration.
Join two leading intensivists as they walk through the Etiometry platform, proven protocols for extubation readiness and vasoactive weaning as well as peer-reviewed outcomes showing double-digit reduction in length of stay and mechanical ventilation time.
Learning objectives:
- Platform overview: how Etiometry aggregates multi-source data and applies risk analytics to create a single, near real time view of patient status
- Apply the Extubation Readiness Tool to standardize weaning decisions and minimize extubation failures
- Leverage vasoactive-infusion dashboards to guide de-escalation and reduce clinician cognitive load
- Interpret outcome metrics (length of stay, ventilation time, cost savings) and outline first steps for a data-driven quality improvement program
Speakers
Dr. Joshua W. Salvin
Chief, Division of Cardiovascular Critical Care; Senior Associate Cardiologist, Department of Cardiology; Associate Professor of Pediatrics
Harvard Medical School
Dr. Santiago Borasino
Medical Director Cardiovascular Intensive Care Unit at Children's of Alabama; Professor of Pediatrics, Section Head of Pediatric Cardiac Critical Care Medicine, Division of Cardiology
Children's of Alabama
This webinar is jointly hosted by Radiometer and Etiometry.