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Keys to Success for AI Tool Adoption in Pediatric Critical Care

For successful adoption of AI tools in clinical care, health system and hospital clinicians should collaborate with the commercial developers of the technology. Read more about Dr. Gazit’s experience using Etiometry’s AI-driven clinical intelligence platform and how it supports confident decision-making in the ICU: HERE 

Etiometry 2025 Highlights and Looking Ahead to 2026

Etiometry is proud to celebrate a year of meaningful achievements in 2025, driven by close collaboration and a shared commitment to improving patient care.In 2025, Etiometry achieved significant momentum in advancing AI-driven clinical intelligence and supporting critical care teams: 2025 Highlights: As Shane Cooke, President and CEO of Etiometry, noted, the platform plays a proven […]

Etiometry’s AI Platform Drives Measurable Outcomes as Hospitals Face Unprecedented Pressures

From platform advancement and expanding hospital adoption to award-winning innovation, Etiometry sets its sights on transforming patient care in 2026 BOSTON, Mass. – January 8, 2026 – Etiometry, a leader in AI-driven clinical intelligence, celebrates a year of significant achievements in 2025 and announces its vision to continue transforming critical care in the year ahead. In […]

Unrecognized cardiogenic shock: a costly gap in hospital care

Cardiogenic shock (CS) continues to pose a major challenge for hospitals nationwide, largely because delayed recognition contributes to poor patient outcomes. Even with significant progress in interventional cardiology, mortality remains high, with one-year rates often approaching or surpassing 50%. Timely clinical recognition of CS is consistently linked with improved patient outcomes. Recognition of CS also […]

Why hospitals are losing the LOS battle, and how AI is helping to change the outcome

Introduction: the persistent challenge of LOS Hospitals across the United States continue to struggle with LOS because discharge delays, capacity limits and day-to-day flow pressures make it difficult to move patients through the system efficiently. Both the American Hospital Association (AHA) and the Institute for Healthcare Improvement (IHI) highlight how these bottlenecks create avoidable extensions […]

Using AI and LLMs to fill in fragmented data gaps within complex critical care

By Dimitar Baronov, PhD Featured in MedTech Intelligence AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to deliver real-time insights. This allows for prompt escalation or de-escalation of treatment and enhances patient outcomes. These technologies also help reduce staffing issues and prevent clinician burnout by continuously monitoring […]