BACKGROUND Severe aortic stenosis (AS) remains a life-threatening form of valvular heart disease. Missed diagnosis of severe AS can lead to a delay in treatment and poor outcomes, but there are limited tools available to help physicians minimize the risk of missed diagnoses. OBJECTIVE Here, a Diagnostic Precision Algorithm was
New data from egnite demonstrates opportunity to improve survival and reduce readmission rates for heart failure patients…
BACKGROUND Progression from moderate to severe aortic stenosis (AS) warrants careful monitoring due to the increased risk of sudden death and heart failure, with disease progression significantly varying among patients and no accurate predictive tools presently available. OBJECTIVE A Disease Progression Algorithm was developed from a deidentified database of 1,163,923
Octane’s annual High Tech Awards celebrates and recognizes individuals and companies who make Orange County a center of medical technology innovation.
Reducing variability in care for this patient population is critical to early identification and improving patient outcomes…