Featured Resource
Pioneering the Use of AI in Health Tech – A Trailblazer Before AI Became Mainstream
Article appeared in HealthTech Clinical Decision Support issue, Spring 2024 Talent shortage and burnout are common issues in the healthcare industry. Healthcare facilities and hospitals struggle to optimize their medical staff while keeping operating and administrative costs reasonable. Moreover, the mental load on clinicians to make accurate clinical decisions based on patient data is the […]
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 […]
Leveraging AI and LLMs To Close Critical Gaps in Patient Data and Transform Patient Risk Assessment in the ICU
We’re proud to share that Etiometry’s President and CEO, Shane Cooke, was featured in MedCity News. In his article, Shane highlights how AI and large language models can close critical gaps in ICU patient data and transform patient risk assessment. Critically ill patients generate massive amounts of data across EHRs, monitors, and devices, but fragmentation […]
Etiometry wins Best in Class AI in Patient Care award at 7th annual Digital HealthHub Foundation Awards at HLTH
The award recognizes Etiometry as one of the most innovative and impactful tech companies that is transforming healthcare through technology Oct. 28, 2025 – BOSTON – Etiometry, a leader in AI-driven clinical intelligence platforms, announces its selection as a winner of the 2025 Digital Health Hub Awards, hosted by The Digital Health Hub Foundation at […]
