Ebrahim Barkoudah, M.D. | Internal Medicine Grand Rounds

“Physician Heal Thyself: How to Become Burnout Resistant”

Speaker:

Ebrahim Barkoudah, M.D., M.P.H., M.B.A.
Associate Professor of Internal Medicine
Chief, Division of Hospital Medicine
UT Southwestern Medical Center

About Ebrahim Barkoudah:

Originally from Syria, Dr. Barkoudah earned his medical degree from the Faculty of Medicine of Damascus University and completed his internal medicine residency training at the University of Tennessee Health Science Center, where he also completed postdoctoral training in physiology and vascular biology. He holds a master’s degree in clinical effectiveness from the Harvard T.H. Chan School of Public Health and an Executive MBA from the University of Oxford Saïd Business School, St Hugh's College.

Prior to joining the faculty in 2026, Dr. Barkoudah served as system chief of hospital medicine and regional chief medical officer/chief quality officer at Baystate Health in Massachusetts. He previously held faculty positions at Harvard Medical School and advanced in the academic ranks for 15 years while serving at Brigham and Women’s Hospital, Massachusetts General Hospital, and the Dana-Farber Cancer Institute.

Dr. Barkoudah’s research focuses on improving outcomes for hospitalized patients through clinical investigation, health services research and implementation science, with particular emphasis on cardiovascular disease, heart failure and complex medical comorbidities. His work includes large clinical trial analyses and cohort studies examining heart failure across the spectrum of ejection fraction, acute myocardial infarction, atrial fibrillation during hospitalization and venous thromboembolism prevention, as well as renal and cardiometabolic outcomes associated with contemporary therapies. He has also published on inpatient communication, patient understanding of care teams, diagnostic reasoning and frailty, highlighting system-level factors that influence quality and safety in hospital medicine. Additional areas of scholarship address population health and equity, including rural-urban disparities, insurance status, and the use of predictive analytics and machine learning to stratify risk and guide clinical decision-making, reflecting a sustained interest in translating evidence into high-value, patient-centered inpatient care.