David Hamilton, MD

  • Assistant Professor, Medicine
  • Southern Arizona VA Health System, Tucson
  • Alumni Fellow, Cardiovascular Disease

Besides cardiovascular disease board certification, Dr. David Hamilton is board certified in several advanced cardiac imaging specialties, including echocardiography, nuclear cardiology and cardiovascular computed tomography. As a faculty member at the Southern Arizona VA Health System in Tucson, Dr. Hamilton is committed to building a robust advanced cardiac imaging program to expand care options to patients and training for cardiovascular disease fellows.

Research Interests: 

Dr. Hamilton’s research collaborations include studying chest pain presentations and interventions, prognosis in pulmonary emboli using the pulmonary embolism severity index (PESI),  and clinical cardiology reviews. He has authored and co-authored numerous publications, including:

  • Amiodarone: A Comprehensive Guide for Clinicians
  • Factors Affecting Time to Presentation in ST-Elevation Myocardial Infarction (FAT STEMI)
  • Killing Three Birds with One Stone: A Malfunctioning BiV-ICD 
  • Wide Complex Tachycardia: VT or 1C?
  • MD: University of Utah School of Medicine, 2015
Honors and Awards
  • Fellowship Outstanding Performance in Cardiac Imaging, University of Arizona Sarver Heart Center, 2020-2021
  • Fellowship Recognition for Exemplary Professionalism, University of Arizona Sarver Heart Center, 2018
  • Robert B. Clark M.D. Endowed Scholarship, University of Utah, 2014
  • Richard E. Hurley M.D. Endowed Scholarship, University of Utah, 2013
  • Loma Linda University, Loma Linda, CA, Internal Medicine, 2015-2018
  • University of Arizona College of Medicine - Tucson, Cardiovascular Disease, 2018-2021
Board Certifications
  • American Board of Internal Medicine, 2018
  • American Society of Echocardiography Boards, 2020
  • Certification Board of Nuclear Cardiology, 2020
  • American Board of Internal Medicine: Cardiovascular Disease, 2021
  • Certification Board of Cardiovascular Computed Tomography, 2021