AATS Quality Gateway
AATS Quality Gateway (AQG) represents a groundbreaking leap in addressing the data challenges faced by today's surgeons. Whether managing a single center or a network of 100, AQG provides the capability to access your data in near real-time.
Leveraging a proprietary machine learning algorithm, AQG performs sophisticated risk assessments with minimal variables, continually improving as more data is entered. Decisions can be made just an hour after the latest data import, ensuring prompt and informed action. AQG allows surgeons to better predict patient outcomes while enabling chiefs and administrators to identify trends to facilitate timely interventions.
In a world where data is the driving force behind patient care and health system efficacy, AQG stands out as a state-of-the-art platform designed with the most advanced tools of the 21st century.
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AQG: A Case Study of Its Application to Adult Cardiac Surgery for Quality Assurance
Eugene H. Blackstone, MD
Cleveland Clinic
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AQG Analysis of 20 Years of Experience of an Academic Aortic Surgeon: Changes in Trends and Outcomes
Marijan Koprivanac, MD
Cleveland Clinic
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AQG Thoracic: Data Dictionary Development and Training the AQG Model
Jonathan C. Yeung, MD
University of Toronto
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Behind the Scenes: Building a Modern Surgical Quality Registry
David Booth, PhD
AQG Senior Data Architect
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AQG Adult Cardiac Base | Cleveland Clinic Pilot Findings
Nicole Arcaro DNP, RN, CNL, CNE
Cleveland Clinic
An Introduction to the AATS Quality Gateway
Learn more about the AATS Quality Gateway in this editorial in JTCVS from President David R. Jones and former President Lars G. Svensson. (January 2024).
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Pilot sites are currently contributing data to AQG, and working within the registry at their institutions. There are incentives for early participation.
If you would like to learn more about the AQG or ways in which you might participate, please contact us.
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