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.
National Institute of Health National Heart, Lung, and Blood Institute, Robert Wood Johnson Foundation/American Heart Association Faculty Development Award Program
February 01, 2019
January 31, 2024
Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).
Investigator: Xiaowei (Sherry) Yan, PhD, MS
Investigator: Jiang Li, Ph.D., MPH