- About this researcher
K. Benjamin Lee, MD
Assistant Professor
Surgery
Academic information
- Department: Surgery
- Division: Vascular Diseases and Surgery
Research interests
- Clinical Outcomes
- New Device Development
- Healthcare Policy
About
Biography
My primary research focuses on improving clinical outcomes and advancing our understanding of vascular disease, with a particular emphasis on aortic and peripheral artery disease. I am especially interested in the development and evaluation of new endovascular devices and techniques aimed at enhancing safety and durability. I also have a strong interest in healthcare policy and data-driven policy implementation that can have a strong impact in our community. My ongoing studies seek to optimize patient selection, procedural planning and long-term surveillance following complex aortic interventions. Looking ahead, my goal is to bridge clinical practice and innovation by collaborating with industry and academic partners to design and refine next-generation technologies that improve outcomes for patients with vascular diseases.
Credentials
Education
- Fellowship - Vascular Surgery
-
University of Texas Southwestern Medical Center, Dallas, TX, United States
7/1/2021 - 6/30/2023 - Residency - Surgery (General Surgery)
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George Washington University Hospital, Washington, DC, United States
7/1/2014 - 6/30/2021 - Doctor of Medicine (MD)
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University of Texas Southwestern Medical School, Dallas, TX, United States
8/1/2009 - 5/30/2014
Certifications
-
American Heart Association National Center
11/19/2024 -
American Board of Surgery/General-Vascular Surgery
5/14/2024 -
American Board of Surgery
3/24/2022
Research
Research interests
- Clinical Outcomes
- New Device Development
- Healthcare Policy
Awards and Honors
- Grüdeman Scientific Research Award - The International Society for Minimally Invasive Cardiothoracic Surgery
- Publication in Nature
- Hospital Leadership Award in Practice Innovation, The George Washington University
- Fellow of the American College of Surgeons
Research Methods
- Quantitative Research
- Secondary Data Analysis/Real World Data
- Systematic Review and Meta Analysis
