Hear What Our Partners Have to Say About the CardioCare Platform
The Solution
Improving Outcomes
This leading-edge solution delivers actionable insights through intuitive digital-health platforms, proprietary A.I. powered analytics and deep clinical expertise to help leading systems elevate the standard of patient care.
The Solution
Improving Outcomes
This leading-edge solution delivers actionable insights through intuitive digital-health platforms, proprietary A.I. powered analytics and deep clinical expertise to help leading systems elevate the standard of patient care.
Customer Spotlight
Nicole Festa, PA-C shares insights from St. Luke's University Health Network
Katie Worthington, NP shares insights from Morristown Medical Center
Using AI to Identify and Improve Outcomes for Cardiovascular Patients
with Dr. Ben Peterson
AI-Powered Breakthroughs in Cardiovascular Access with The Christ Hospital Health Network
Partner Sites
Working with Top Cardiovascular Programs Across the U.S.
Don't just take our word for it. Talk to our team today to learn more about partnerships.
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Testimonials
Leading hospitals partner with egnite’s CardioCare platform to reduce variability in care and improve guideline-directed therapy for patients with cardiovascular disease.
Gagnon Cardiovascular Institute, Morristown Medical Center
Resources

The egnite Registry contributed de-identified, longitudinal data, linking serial echocardiograms with clinical outcomes, to help answer what happens to patients after a successful mitral transcatheter edge-to-edge repair (M-TEER) procedure. ALISO VIEJO,

BACKGROUND Aortic stenosis (AS) and mitral regurgitation (MR) frequently co-occur, complicating diagnosis and treatment. We examined current US treatment trends and patient outcomes among patients

Aortic stenosis care is shifting from a reactive to a proactive model. Emerging clinical evidence supports earlier identification, closer monitoring, and intentional patient management across the disease continuum. As treatment thresholds evolve, health systems need scalable approaches to identify at-risk patients, close treatment gaps, and ensure timely access to specialist care.