STS/ACC TVT Registry and U.S. News & World Report Public Reporting Webinar

Join us for an informative webinar on the methodologies that will report TAVR best practice in the STS/ACC TVT Registry public reporting program and U.S. News & World Report Best Hospital Rankings for TAVR. During the 90-minute webinar, participants will also learn about the process to enroll in public reporting for the STS/ACC TVT Registry and rollout timeline.

Moderators
John D. Carroll, MD, FACC, chair, STS/ACC TVT Registry Steering Committee, Professor of Medicine/Director of Interventional Cardiology, University of Colorado School of Medicine
Vinod Thourani, MD, FACC, co-chair STS/ACC TVT Registry Steering Committee, Bernie Marcus Chairman, Department of Cardiovascular Surgery, Marcus Heart and Vascular Center, Piedmont Heart Institute, Atlanta, GA

Panelists
Ben Harder, Chief of Health Analysis and Managing Editor, U.S. News & World Report
Tavia Binger, MSPH, Senior Health Data Analyst, U.S. News & World Report
Ralph G. Brindis, MD, MPH, MACC, chair of the STS/ACC TVT Registry Public Reporting Workgroup; Clinical Professor of Medicine Department of Medicine and Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco; and Senior Medical Officer, External Affairs, NCDR
David M. Shahian, MD, FACC, co-chair, STS/ACC TVT Registry Public Reporting Workgroup; Professor of Surgery, Harvard Medical School; Vice President, Center for Quality and Safety, Massachusetts General Hospital
Nimesh Desai, MD, PhD, chair, STS/ACC TVT Registry Risk Model Workgroup; co-director, Thoracic Aortic Surgery Program and associate professor in the Division of Cardiovascular Surgery at the Hospital of the University of Pennsylvania; senior fellow, Leonard Davis Institute of Health Economics at the University of Pennsylvania; associate director, Penn Cardiovascular Outcomes, Quality, and Evaluative Research (CAVOQER); and chair, Society of Thoracic Surgeons Aortic Task Force
David J. Cohen, MD, MSc, Co-chair STS/ACC TVT Registry Risk Model Workgroup, University of Missouri-Kansas City