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 […]
First Automated Hospital-Specific Cardiogenic Shock Classification Tool for Critical Care Teams
Etiometry has received FDA clearance (K254066) for the Etiometry Cardiogenic Shock Tool: the first-ever automated solution for hospital-specific cardiogenic shock classification and tracking (aligned with each institution’s own protocols) using physiologic monitoring data. This is Etiometry’s 11th FDA clearance overall, and the only solution that automates SCAI staging directly from physiologic monitoring data. For cardiac […]
Etiometry Receives a First-Ever FDA Clearance for Automating Hospital-Specific Cardiogenic Shock Classification and Tracking
BOSTON, Mass. – April 8, 2026 – Etiometry, a leader in AI-driven clinical intelligence, today announced it has received FDA clearance (K254066) for the first-ever solution for automation of hospital-specific cardiogenic shock classification and tracking by directly utilizing data from physiologic monitoring, the Etiometry Cardiogenic Shock Tool. Cardiogenic shock remains a critical challenge, with delayed identification […]
Boston Children’s enhances care with clinical intelligence platform
At Boston Children’s Hospital, Dr. Peter Laussen and Dr. Joshua Salvin are leading the way as true pioneers in clinical intelligence and AI. Through ongoing collaboration, their work has evolved to better integrate and interpret complex patient data, helping care teams shift toward more informed, data-driven decision-making in real time. Read how they helped shape […]
Telemetry monitoring in hospitals: moving beyond continuous observation
Telemetry monitoring in high-acuity hospital departments Telemetry monitoring is a core technology used in hospitals to continuously monitor cardiac rhythm and vital signs in patients at risk of deterioration. Telemetry systems allow clinicians to track electrocardiographic (ECG) signals and physiologic data in real time across intensive care units (ICUs), telemetry floors, and other step-down units. […]
Economic Impact Analysis Highlights Millions in Potential Savings for Hospitals Using Etiometry Platform
Healthcare institutions utilizing Etiometry’s AI-driven clinical intelligence platform could see greater than 2X ROI in the first year and over $2 million in annual savings BOSTON, Mass. – March 10, 2026 – Etiometry, a leader in AI-driven clinical intelligence, released findings from a recent economic impact analysis highlighting the significant benefits of AI tools like the […]
MedTech Masters Q&A
In this MedTech Masters Q&A, Etiometry’s VP of Marketing, Maayan Wenderow, shares insights from her experience leading marketing for a fast-growing clinical decision-support company. She discusses the challenges of positioning complex ICU analytic solutions, aligning messaging with real clinical needs, and supporting long hospital sales cycles. Drawing from her work at Etiometry, she highlights the […]
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 […]