Leveraging AI and LLMs To Close Critical Gaps in Patient Data and Transform Patient Risk Assessment in the ICU
News and Press Releases
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 often delays action. Etiometry’s platform aggregates and analyzes these streams in real time, providing actionable risk insights that help clinicians intervene faster, de-escalate care when safe, and improve both patient outcomes and ICU efficiency.
A great read for anyone interested in the future of AI-driven critical care: Read the article
Related
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 […]
