Rashmee U. Shah, MD, MS

Languages Spoken: English

Dr. Rashmee Shah is an Assistant Professor in Cardiovascular Medicine at the University of Utah School of Medicine. Dr. Shah’s research focuses on clinical applications of data science, machine learning, and natural language processing. Specifically, her current projects focus on: 1) phenotyping atrial fibrillation patients using natural language processing and big data analyses 2) predicting readmission after acute myocardial infarction with machine learning methods, incorporating socioeconomic status 3) predicting complications following cardiac surgery using neural networks, incorporating functional status derived using an ontology. The overall goal of Dr. Shah's work is to find the right treatments for the right patients, and maximize benefit while minimizing harm.

Dr. Shah's research has been published in high impact journals, including the Journal of the American College of Cardiology and JAMA Network Open. She served as the Chair of the Young Clinicians and Investigators Committee, a part of the Council on Quality of Care and Outcomes, American Heart Association. Dr. Shah participates on the Research and Publications committees of the NCDR (National Cardiovascular Data Registry), the Informatics and Health IT Task Force, and Cardiovascular Diseases in Women Committee of the American College of Cardiology. Dr. Shah is the recipient of several honors, including membership in the Alpha Omega Alpha Honor Medical Society, the American Heart Association Excellence in Training Award, and research support from the National Institutes of Health.

Finally, a key goal for Dr. Shah is to increase the presence of women in leadership and authority roles in cardiovascular medicine. She supports this goal through speaking engagements as well as an editorial published in JAMA Cardiology.

Dr. Shah received her medical degree at the Tufts University School of Medicine, where she graduated with honors. She completed Internal Medicine Residency at Northwestern University and then went on to complete a postdoctoral fellowship and Master’s degree in Health Services Research at Stanford University. Dr. Shah completed her cardiology training at Cedars-Sinai Medical Center and the University of Pittsburgh. She has also received a Certificate in Biomedical Informatics at the University of Utah. Her clinical interests include echocardiography, acute cardiac care, and data and information systems to improve health care outcomes.

Rashmee U. Shah, MD MS is an Assistant Professor in Cardiovascular Medicine in the Department of Internal Medicine at the University of Utah School of Medicine. She has been on tenure track faculty at the University of Utah since 2014.

Nationally, she chairs the Young Investigators Committee and is on the Leadership Council for the American Heart Association Council on Quality of Care and Outcomes Research. Cardiology Today recently named her a “NextGen Innovator.” She is the recipient of grant support from the National Heart, Lung, and Blood Institute and is focused on practical applications of data science. Specifically, she is developing a clinically useful tool for information extraction from the electronic health record, focused on patient safety.

Dr. Rashmee Shah is an Assistant Professor in Cardiovascular Medicine at the University of Utah School of Medicine. Dr. Shah’s research focuses on clinical applications of data science, machine learning, and natural language processing. Specifically, her current projects focus on: 1) phenotyping atrial fibrillation patients using natural language processing and big data analyses 2) predicting readmission after acute myocardial infarction with machine learning methods, incorporating socioeconomic status 3) predicting complications following cardiac surgery using neural networks, incorporating functional status derived using an ontology. The overall goal of Dr. Shah's work is to find the right treatments for the right patients, and maximize benefit while minimizing harm.

Dr. Shah's research has been published in high impact journals, including the Journal of the American College of Cardiology and JAMA Network Open. She served as the Chair of the Young Clinicians and Investigators Committee, a part of the Council on Quality of Care and Outcomes, American Heart Association. Dr. Shah participates on the Research and Publications committees of the NCDR (National Cardiovascular Data Registry), the Informatics and Health IT Task Force, and Cardiovascular Diseases in Women Committee of the American College of Cardiology. Dr. Shah is the recipient of several honors, including membership in the Alpha Omega Alpha Honor Medical Society, the American Heart Association Excellence in Training Award, and research support from the National Institutes of Health.

Finally, a key goal for Dr. Shah is to increase the presence of women in leadership and authority roles in cardiovascular medicine. She supports this goal through speaking engagements as well as an editorial published in JAMA Cardiology.

Dr. Shah received her medical degree at the Tufts University School of Medicine, where she graduated with honors. She completed Internal Medicine Residency at Northwestern University and then went on to complete a postdoctoral fellowship and Master’s degree in Health Services Research at Stanford University. Dr. Shah completed her cardiology training at Cedars-Sinai Medical Center and the University of Pittsburgh. She has also received a Certificate in Biomedical Informatics at the University of Utah. Her clinical interests include echocardiography, acute cardiac care, and data and information systems to improve health care outcomes.

Rashmee U. Shah, MD MS is an Assistant Professor in Cardiovascular Medicine in the Department of Internal Medicine at the University of Utah School of Medicine. She has been on tenure track faculty at the University of Utah since 2014.

Nationally, she chairs the Young Investigators Committee and is on the Leadership Council for the American Heart Association Council on Quality of Care and Outcomes Research. Cardiology Today recently named her a “NextGen Innovator.” She is the recipient of grant support from the National Heart, Lung, and Blood Institute and is focused on practical applications of data science. Specifically, she is developing a clinically useful tool for information extraction from the electronic health record, focused on patient safety.