Artrya Salix for Administrators
An enterprise solution that improves the diagnostic investigation of stable and acute chest pain patients
Keep pace with growing CCTA demand without adding staff
Identify patients who truly require life-saving care
Free up beds for high-risk patients
Optimize use of capital equipment and return on investment
Major predictors of heart attack are overlooked during patient evaluations
Traditional methods of CCTA analysis preclude reporting the specific types of plaque indicative of adverse cardiac events when evaluating coronary disease. Substantial manual workup time, physician team disagreement and lack of standardization create a disjointed system. These factors often lead to inefficient diagnostic testing and poor patient outcomes.
Artrya Salix streamlines the diagnosis of chest pain for effective patient management
Artrya Salix delivers a new approach for collaborative diagnosis. From an easy-to-use web application, physicians can rapidly read and report CCTA scan interpretations that include important plaque features associated with heart attack risk.
Reduce unnecessary healthcare costs by including AI in the analysis of CCTA scans.
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Identify at-risk patients with obstructive coronary artery disease to provide personalized treatment options
Identify low-risk patients with no disease and refer them to a lower-cost care setting
Quickly detect any patients with plaque features of concern who need preventative care
Rule out false positives indicated for invasive testing
Lower reporting time while improving the accuracy of diagnosisCloud-based Artrya Salix seamlessly fits into your clinical practice
Minimal investment
No capital equipment investment required
Simple deployment
No downloads. No installation. No hardware
Intuitive interface
Minimal user training required
Compatible
Suitable for use with leading brands of CCTA scanners
Your trusted clinical business partner
Artrya partners with integrated delivery networks, emergency clinics, imaging practices and heart care centers to establish new models of cardiac care. Using AI to support efficient clinical decision-making will optimize patient intake, reduce the inefficiencies of low-value testing and increase revenue opportunities.
Enhance accurate screening. Elevate patient satisfaction. Expand competitive advantage.
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