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
Is AI the RX for U.S. Health Care? Etiometry Featured in City Journal
Martinez woke up in the ICU. The rapid AI diagnosis of his aortic dissection had allowed a fast transition to cardiothoracic surgery, likely saving his life. But he wasn’t out of the woods. Martinez’s recovery would depend on diligent care from the ICU nurses and physicians. Fortunately, the team working with Martinez had several AI […]
Closing Patient Data Gaps in Critical Care Environments
A Powerful Use Case for Transforming Patient Care with AI Tools
New study shows how IDO2 index could help bring attention to changes in patient risk sooner. New data in Adult patients.
In intensive care settings, most serious deterioration develops gradually rather than suddenly, with abnormal vital signs detectable hours before significant events. This means that clinicians must monitor subtle physiologic changes to support timely assessment and decision-making.1,2 However, continuous physiologic and laboratory monitoring generates vast amounts of data, and clinicians must constantly decide which signals warrant […]


