Description
Despite advances in technology, cardiovascular disease (CVD) remains the leading cause of death, disability, and healthcare costs in the U.S. Yet, there is a tremendous gap in accurate cardiovascular risk prediction and prevention, particularly in racial/ethnic minorities.
The overall goal of this study is to address gaps in knowledge about CVD prediction and treatment in understudied racial/ethnic minority populations. The study will utilize the electronic health record data from the CASPER study, an established NHLBI-funded cohort enriched with disaggregated Hispanic and Asian patients.
PI is Fatima Rodriguez, M.D., MPH, Division of Cardiovascular Medicine, Department of Medicine, Stanford University. Research Scientist Development Award (K01).
Site PI is Jiang Li, Ph.D.
Principal Investigator
Jiang Li, Ph.D., MPH, External PI, Principal Investigator
Funder
National Institute of Health National Heart, Lung, and Blood Institute, Robert Wood Johnson Foundation/American Heart Association Faculty Development Award Program
Research Topics
Related Studies
COVID-19 Impacts on Cancer Care Management, Patient Experience and Care Costs
Investigators: Cheryl Stults, Ph.D., Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D.
Stupski Serious Illness Program Evaluation
Investigator: Sylvia Sudat, PhD
Impact of COVID-19 on Cancer Care Management
Investigators: Su-Ying Liang, Ph.D., Monique de Bruin, M.D., MPH
The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity
Investigator: Jiang Li, Ph.D., MPH
COVID-19 Universal Registry for Vital Evaluations (CURVE) Project
Investigator: Jiang Li, Ph.D., MPH
Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care
Investigator: Sylvia Sudat, PhD
Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA
Improving Cancer Care
Investigator: Su-Ying Liang, Ph.D.
Using Mobile Technology and Analytics to Track Outcomes in MS Patients
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA
Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).
Investigator: Xiaowei (Sherry) Yan, PhD, MS