Arming NICU Clinicians With Etiometry’s Risk Index Data for Personalized Care and Better Outcomes

Article appeared in Neonatal Intensive Care Fall Issue 2024

NICU staff at a major children’s hospital made the decision to wean an infant from high-flow oxygen therapy (HFOT) to room air. After the change, concerns were raised about the patient’s respiratory status, and it was proposed that
the HFOT be restored. However, by leveraging data from the Etiometry platform, the clinical team was able to show that the patient was tolerating the wean and did not require escalation. This avoided prolonging the infant’s exposure to high concentrations of oxygen and peripheral equipment, which have been shown to increase the risk of complications.

It’s just one more example of how using Etiometry can provide timely clinical data to guide both efficient escalation and safe de-escalation of care—in this case the weaning process…


Related

The ‘Messy File Cabinet’ Effect- How AI is Bringing Clarity to Critical Care

In a new DOTmed article, Etiometry Co-Founder and Chief Technology Officer Dimitar Baronov explores the “messy file cabinet” effect in the ICU and how AI can help transform fragmented, high-frequency patient data into meaningful clinical insight. Read the full article to learn how AI is helping bring greater clarity to complex critical care environments: www.dotmed.com

Hamilton Medical, Inc. and Etiometry Partner to Advance Data-Driven Respiratory Care in the ICU

Collaboration combines advanced ventilation technology with AI-driven clinical intelligence to support more proactive, data-driven respiratory management BOSTON, Mass. – Sep. 10, 2026 – Hamilton Medical, Inc. and Etiometry today announced a US partnership to bring AI-driven, data-supported respiratory intelligence to intensive care teams managing mechanically ventilated patients. The collaboration combines Hamilton Medical’s advanced ventilation technology and […]