معرفی
Rashmee U. Shah, MD, MS is an Assistant Professor in Cardiovascular Medicine at the University of Utah School of Medicine, where she has been on a tenure track since 2014. Her work integrates data science, machine learning, and natural language processing to improve patient outcomes in cardiovascular care.
- Education: MD (with honors) from Tufts University School of Medicine, MS in Health Services Research from Stanford University
- Training: Internal Medicine Residency (Northwestern University), Cardiology Fellowship (Cedars-Sinai Medical Center, University of Pittsburgh)
Dr. Shah's research focuses on clinical applications of AI to predict adverse outcomes in atrial fibrillation and cardiac surgery patients. Her publications in journals like JAMA Network Open and Journal of the American College of Cardiology emphasize patient safety, health equity, and healthcare informatics. Recent work explores blood pressure patterns in AF patients using dynamic time warping models.
She chairs the American Heart Association's Young Investigators Committee and contributes to the National Cardiovascular Data Registry. Her scientific awards include:
- Doris Duke Charitable Foundation's $495,000 Clinical Scientist Development Award (2020)
- Alpha Omega Alpha Honor Medical Society membership
- American Heart Association Excellence in Training Award
- National Institutes of Health research support
Dr. Shah advocates for women in cardiovascular leadership through speaking engagements and JAMA Cardiology editorials. She is also developing a clinically useful tool for information extraction from electronic health records to enhance patient safety.
