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AATS Quality Gateway

AQG is a modern registry that uses a machine learning algorithm with real-time risk adjustment to better improve patient care for cardiothoracic surgeons.

Featured Publications on AQG

21st Century Risk Algorithm

Development of American Association for Thoracic Surgery Quality Gateway outcome models, analytics, and visualizations for quality assurance, Journal of Thoracic and Cardiovascular Surgery, Hemant Ishwaran, PhD, and Eugene H. Blackstone, MD (March 2025).

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AQG Case Study

Journal of Thoracic and Cardiovascular Surgery, Eugene H. Blackstone, MD, Linda DiPaola, BA, Benjamin P. Kramer, DO, MS, Hemant Ishwaran, PhD, Lars G. Svensson, MD, PhD (March 2025).

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105th Annual Meeting Presentations

From Data to Decisions: Leveraging the AATS Quality Gateway (AQG) Database for Predictive Insights in Cardiothoracic Quality

Comparing AQG to Legacy Database: Insights from Data Quality Administrator

The New AQG Thoracic Registry: Development of a Modern Registry and Early Pilot Results

Leveraging AQG for Predictive Insights into Re-operative Double Valve Surgery

AQG: General Thoracic Surgery Quality Database and Procedural Risk Models for the 21st Century

AQG: Power and Limitations of Virtual Twins in Quality Assurance: The Case of Low Ejection Fraction

AATS Quality Gateway Sites