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Rashmee U. Shah, MD, MS

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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.

Specialties

  • Echocardiography
  • General Cardiology
  • Preventive Cardiology
  • Valvular Heart Disease
  • Epidemiology
  • Cardiology
  • Cardioversion

Board Certification and Academic Information

Academic Departments Internal Medicine - Assistant Professor
Academic Divisions Cardiovascular Medicine
Board Certification American Board of Internal Medicine (Internal Medicine)
American Board of Internal Medicine (Sub: Cardiovascular Disease)
Certification Board of Cardiovascular Computed Tomography
National Board of Echocardiography

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.

Academic Locations

School of Medicine

801-585-7676

30 N 1900 E
University of Utah, Cardiology, 4A100
Salt Lake City, UT  84132

Research Statement

Dr. Shah’s research focuses on clinical applications of data science, machine learning, and and natural language processing. Specifically, her current projects focus on atrial fibrillation, acute myocardial infarction, and frailty. With an interdisciplinary team, she is using modern computing techniques to characterize patient outcomes, such as bleeding, and patient charactersitics, such as frailty. She is then using these features to predict clinical outcomes using artificial intelligence. The overall goal is to find the right treatments for the right patients, and maximize benefit while minimizing harm. She has grant support from the NIH to pursue this work.

Board Certification and Academic Information

Academic Departments Internal Medicine - Assistant Professor
Academic Divisions Cardiovascular Medicine
Board Certification American Board of Internal Medicine (Internal Medicine)
American Board of Internal Medicine (Sub: Cardiovascular Disease)
Certification Board of Cardiovascular Computed Tomography
National Board of Echocardiography

Research Interests

  • Biomedical Informatics
  • Health Care Quality and Patient Safety
  • Health Services Research
  • Clinical Outcomes
  • Acute Disease

Education History

Certification University of Utah
Biomedical Informatics
Certificate
Fellowship University of Pittsburgh Medical Center
Cardiology
Fellow
Fellowship Cedars Sinai Medical Center/GLA VA Medical Center
Cardiology
Fellow
Graduate Training Stanford University
Health Services Research
M.S.
Postdoctoral Fellowship Stanford University
Health Research & Policy
Postdoctoral Fellow
Residency Northwestern University/Jesse Brown VA Hospital
Internal Medicine
Resident
Professional Medical Tufts University School of Medicine
Medicine
M.D.
Undergraduate Northwestern University
Environmental Sciences
B.A.

Selected Publications - Journal Articles

Journal Article

  1. Zenger B, Swink JM, Turner JL, Bunch TJ, Ryan JJ, Shah RU, Turakhia MP, Piccini JP, Steinberg BA (2020). Social Media Influence Does Not Reflect Scholarly or Clinical Activity in Real Life. Circ Arrhythm Electrophysiol, 13(11), e008847.
  2. Shah RU, Mutharasan RK, Ahmad FS, Rosenblatt AG, Gay HC, Steinberg BA, Yandell M, Tristani-Firouzi M, Klewer J, Mukherjee R, Lloyd-Jones DM (2020). Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record. Circ Cardiovasc Qual Outcomes, 13(10), e006516.
  3. Crabb BT, Lyons A, Bale M, Martin V, Berger B, Mann S, West WB Jr, Brown A, Peacock JB, Leung DT, Shah RU (2020). Comparison of International Classification of Diseases and Related Health Problems, Tenth Revision Codes With Electronic Medical Records Among Patients With Symptoms of Coronavirus Disease 2019. JAMA Netw Open, 3(8), e2017703.
  4. Shah RU (2020). We Don't Need More Data, We Need the Right Data. Circulation, 142(3), 197-198.
  5. Shah RU, Curtis LH (2020). Data Quarantine in the Time of the COVID-19 Pandemic. Circ Cardiovasc Qual Outcomes, 13(6), e006908.
  6. Turner JL, Lyons A, Shah RU, Zenger B, Hess R, Steinberg BA (2020). Accuracy of Patient Identification of Electrocardiogram-Verified Atrial Arrhythmias. JAMA Netw Open, 3(5), e205431.
  7. Shah RU, Mukherjee R, Zhang Y, Jones AE, Springer J, Hackett I, Steinberg BA, Lloyd-Jones DM, Chapman WW (2020). Impact of Different Electronic Cohort Definitions to Identify Patients With Atrial Fibrillation From the Electronic Medical Record. J Am Heart Assoc, 9(5), e014527.
  8. Steinberg BA, Turner J, Lyons A, Biber J, Chelu MG, Fang JC, Freedman RA, Han FT, Hardisty B, Marrouche NF, Ranjan R, Shah RU, Spertus JA, Stehlik J, Zenger B, Piccini JP, Hess R (2019). Systematic collection of patient-reported outcomes in atrial fibrillation: feasibility and initial results of the Utah mEVAL AF programme. Europace, 22(3), 368-374.
  9. Goyal N, Herrick JS, Son S, Metz TD, Shah RU (2019). Maternal Cardiovascular Complications at the Time of Delivery and Subsequent Re-Hospitalization in the United States, 2010 to 2016. (Epub ahead of print) Eur Heart J Qual Care Clin Outcomes.
  10. Owlia M, Dodson JA, King JB, Derington CG, Herrick JS, Sedlis SP, Crook J, DuVall SL, LaFleur J, Nelson R, Patterson OV, Shah RU, Bress AP (2019). Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina. J Am Heart Assoc, 8(15), e012811.
  11. Chamberlain AM, Gong Y, Shaw KM, Bian J, Song WL, Linton MF, Fonseca V, Price-Haywood E, Guhl E, King JB, Shah RU, Puro J, Shenkman E, Pawloski PA, Margolis KL, Hernandez AF, Cooper-DeHoff RM (2019). PCSK9 Inhibitor Use in the Real World: Data From the National Patient-Centered Research Network. J Am Heart Assoc, 8(9), e011246.
  12. Doing-Harris K, Bray BE, Thackeray A, Shah RU, Shao Y, Cheng Y, Zeng-Treitler Q, Garvin JH, Weir C (2019). Development of a cardiac-centered frailty ontology. Journal of Biomedical Semantics, 10(1), 3.
  13. Selker HP, Kwong M, Ruthazer R, Gorman S, Green G, Patchen E, Udelson JE, Smithline HA, Baumann MR, Harris PA, Shah RU, Nelson SJ, Cohen T, Jones EB, Barnewolt BA, Williams AE (2019). An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes. J Clin Transl Sci, 2(6), 377-383.
  14. Walker AL, Sorensen T, Gabriel PP, Sledge T, Morshedzadeh JH, Owan T, Shah RU (2018). Ticagrelor Use in Acute Myocardial Infarction: Balancing Evidence-Based Medicine with Affordability. J Am Coll Clin Pharm, 1(2), 58-61.
  15. Taggart M, Chapman WW, Steinberg BA, Ruckel S, Pregenzer-Wenzler A, Du Y, Ferraro J, Bucher BT, Lloyd-Jones DM, Rondina MT, Shah RU (2018). Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients. JAMA Netw Open, 1(6), e183451.
  16. Shah RU (2018). The $2.5 Million Dollar Wage Gap in Cardiology. JAMA Cardiol, 3(8), 674-676.
  17. Mathews R, Wang W, Kaltenbach LA, Thomas L, Shah RU, Ali M, Peterson ED, Wang TY (2018). Hospital Variation in Adherence Rates to Secondary Prevention Medications and the Implications on Quality. Circulation, 137(20), 2128-2138.
  18. Humphries KH, Izadnegahdar M, Sedlak T, Saw J, Johnston N, Schenck-Gustafsson K, Shah RU, Regitz-Zagrosek V, Grewal J, Vaccarino V, Wei J, Bairey Merz CN (2017). Sex differences in cardiovascular disease - Impact on care and outcomes. Front Neuroendocrinol, 46, 46-70.
  19. King JB, Shah RU, Sainski-Nguyen A, Biskupiak J, Munger MA, Bress AP (2017). Effect of Inpatient Dobutamine versus Milrinone on Out-of-Hospital Mortality in Patients with Acute Decompensated Heart Failure. Pharmacotherapy, 37(6), 662-672.
  20. Shao Y, Mohanty AF, Ahmed A, Weir CR, Bray BE, Shah RU, Redd D, Zeng-Treitler Q (2016). Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure. AMIA Annu Symp Proc, 2016, 1110-1118.
  21. Ko BS, Drakos SG, Welt FGP, Shah RU (2016). Controversies and Challenges in the Management of ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock. Interv Cardiol Clin, 5(4), 541-549.
  22. Sutton NR, Li S, Thomas L, Wang TY, de Lemos JA, Enriquez JR, Shah RU, Fonarow GC (2016). The association of left ventricular ejection fraction with clinical outcomes after myocardial infarction: Findings from the Acute Coronary Treatment and Intervention Outcomes Network (ACTION) Registry-Get With the Guidelines (GWTG) Medicare-linked database. Am Heart J, 178, 65-73.
  23. King JB, Shah RU, Bress AP, Nelson RE, Bellows BK (2016). Cost-Effectiveness of Sacubitril-Valsartan Combination Therapy Compared With Enalapril for the Treatment of Heart Failure With Reduced Ejection Fraction. JACC Heart Fail, 4(5), 392-402.
  24. Shah RU, de Lemos JA, Wang TY, Chen AY, Thomas L, Sutton NR, Fang JC, Scirica BM, Henry TD, Granger CB (2016). Post-Hospital Outcomes of Patients With Acute Myocardial Infarction With Cardiogenic Shock: Findings From the NCDR. J Am Coll Cardiol, 67(7), 739-47.
  25. Shah RU, Rupp AB, Mowery D, Zhang M, Stoddard G, Deshmukh V, Bray BE, Hess R, Rondina MT (2016). Changes in Oral Anticoagulant Treatment Rates in Atrial Fibrillation before and after the Introduction of Direct Oral Anticoagulants. Neuroepidemiology, 47(3-4), 201-209.
  26. Pepine CJ, Ferdinand KC, Shaw LJ, Light-McGroary KA, Shah RU, Gulati M, Duvernoy C, Walsh MN, Bairey Merz CN, ACC CVD in Women Committee (2015). Emergence of Nonobstructive Coronary Artery Disease: A Woman's Problem and Need for Change in Definition on Angiography. J Am Coll Cardiol, 66(17), 1918-33.
  27. Shah RU, Henry TD, Rutten-Ramos S, Garberich RF, Tighiouart M, Bairey Merz CN (2015). Increasing percutaneous coronary interventions for ST-segment elevation myocardial infarction in the United States: progress and opportunity. JACC Cardiovasc Interv, 8(1 Pt B), 139-146.
  28. Kazi DS, Garber AM, Shah RU, Dudley RA, Mell MW, Rhee C, Moshkevich S, Boothroyd DB, Owens DK, Hlatky MA (2014). Cost-effectiveness of genotype-guided and dual antiplatelet therapies in acute coronary syndrome. Ann Intern Med, 160(4), 221-32.
  29. Simons CT, Cipriano LE, Shah RU, Garber AM, Owens DK, Hlatky MA (2013). Transcatheter aortic valve replacement in nonsurgical candidates with severe, symptomatic aortic stenosis: a cost-effectiveness analysis. Circ Cardiovasc Qual Outcomes, 6(4), 419-28.
  30. Shah RU, Chang TI, Fonarow GC (2013). Comparative effectiveness research in heart failure therapies: women, elderly patients, and patients with kidney disease. Heart Failure Clinics, 9(1), 79-92.
  31. Shah RU, Freeman JV, Shilane D, Wang PJ, Go AS, Hlatky MA (2012). Procedural complications, rehospitalizations, and repeat procedures after catheter ablation for atrial fibrillation. J Am Coll Cardiol, 59(2), 143-9.
  32. Shah RU, Winkleby MA, Van Horn L, Phillips LS, Eaton CB, Martin LW, Rosal MC, Manson JE, Ning H, Lloyd-Jones DM, Klein L (2011). Education, income, and incident heart failure in post-menopausal women: the Women's Health Initiative Hormone Therapy Trials. J Am Coll Cardiol, 58(14), 1457-64.
  33. Shah RU, Tsai V, Klein L, Heidenreich PA (2011). Characteristics and outcomes of very elderly patients after first hospitalization for heart failure. Circ Heart Fail, 4(3), 301-7.

Review

  1. AlBadri A, Wei J, Mehta PK, Shah R, Herscovici R, Gulati M, Shufelt C, Bairey Merz N (2017). Sex differences in coronary heart disease risk factors: rename it ischaemic heart disease! [Review]. Heart, 103(20), 1567-1568.
  2. Shah RU, Klein L, Lloyd-Jones DM (2009). Heart failure in women: epidemiology, biology and treatment. [Review]. Womens Health (Lond Engl), 5(5), 517-27.

Book Chapter

  1. Shah RU, Lloyd-Jones DM (2013). Heart Failure. In M. Goldman & R. Troisi (Eds.), Women & Health (2nd Edition). Academic Press.

Editorial

  1. Rumsfeld JS, Shah RU (2019). Roadmap for the Digital Transformation of Healthcare: Lead, Facilitate and Partner https://www.medaxiom.com/blog/roadmap-for-the-digital-transformation-of-healthcare-lead-facilitate-and-partner/.
  2. Wang L, Selzman KA, Shah RU (2019). Peri-procedural complications in women: an alarming and consistent trend. 40(36), 3044-3045.
  3. Shah RU, Matheny ME (2018). Data and Information in the Sea of Electronic Health Records. 11(12), e005247.
  4. Shah RU, Rumsfeld JS (2017). Big Data in Cardiology. 38(24), 1865-1867.
  5. Shah RU, Merz CNB (2015). Publicly Available Data: Crowd Sourcing to Identify and Reduce Disparities. 66(18), 1973-1975.

Letter

  1. Zheutlin AR, Caldwell DJ, Al Danaf J, Shah RU (2020). Prevalence of Control Groups in Cardiovascular Clinical Trials: An Analysis of ClinicalTrials.gov from 2009 through 2019. [Letter to the editor]. Am Heart J.
  2. Yin MY, Tandar A, Sharma V, Glotzbach JP, Shah RU, Dranow E, Tseliou E, Fang JC, Drakos SG, Welt FGP (2019). Left Ventricular Hemodynamic Changes During Transcatheter Aortic Valve Replacement Assessed by Real-Time Pressure-Volume Loops. [Letter to the editor]. JACC Cardiovasc Interv, 13(18), 2190-2192.
  3. Abedin Z, Hoerner R, Habboushe J, Lu Y, Kawamoto K, Warner PB, Shields DE, Shah RU (2020). Implementation of a Fast Healthcare Interoperability Resources-Based Clinical Decision Support Tool for Calculating CHA2DS2-VASc Scores. [Letter to the editor]. Circ Cardiovasc Qual Outcomes, 13(2), e006286.
  4. Shah RU, Stehlik J, Drakos SG, Fang JC (2015). Administrative data: proceed with caution. [Letter to the editor]. J Am Coll Cardiol, 65(10), 1063.

Abstract

  1. Turner JL, Hardisty BE, Kaur G, Shah RU, Chelu MG, Han FT, Marrouche NF, Steinberg BA (04/06/2018). Accuracy of Patient Identification of Atrial Fibrillation in the Clinic Setting [Abstract]. Circulation: Cardiovascular Quality and Outcomes, 11(Suppl 1).
  2. Taggart M, Chapman WW, Steinberg BA, Ruckel S, Pregenzer-Wenzler A, Du Y, Ferraro J, Bucher BT, Lloyd-Jones DM, Rondina MT, Shah RU (4/6/2018). Development and Comparison of Two Natural Language Processing Methods for Identifying Bleeding Events in Clinical Text [Abstract]. Circulation: Cardiovascular Quality and Outcomes, 11(Suppl 1).
  3. Migotsky S, Kazi DS, Spivak ES, Shah SU, Shah RU (4/6/2018). Age-Related Practice and Outcome Patterns in Infective Endocarditis in the National Readmissions Database, 2010-2015 [Abstract]. Circulation: Cardiovascular Quality and Outcomes, 11(Suppl 1).
  4. Shah RU, Shao Y, Doing-Harris K, Weir C, Cheng Y, Bray B, Zeng Q (3/9/2018). Frailty and Cardiovascular Surgery, Deep Neural Network versus Support Vector Machine to Predict Death [Abstract]. Journal of the American College of Cardiology, 71(11), A1357.

Other

  1. Reimer JR, Ahmed SM, Brintz B, Shah RU, Keegan LT, Ferrari MJ, Leung DT (2020). Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule. (https://doi.org/10.1101/2020.07.07.20148510).

Global Impact

Awards & Honors

Outstanding Paper Award for "Extracting Frailty Status for Post Surgical Mortality Prediction," International Association for the Development of the Information Society Global

News Articles

Cardiologist Rashmee Shah Earns Doris Duke Charitable Foundation Award

Feature News

In Her Own Words: When it Comes to Gender Balance, We’re at a Tipping Point

The Scope & Other Podcasts

  • For the Sickest Heart Attack Patients, Outlook is Poorest Within 60 Days After Discharge
  • Dr. Rashmee Shah - All About Women's Heart Health

Videos

Dr. Rashmee Shah - All About Women's Heart Health

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