Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology

A National Leader in Evidence-Based Cardiovascular Research

"Our mission is to apply to the highest standards of scientific evaluation to essential questions in cardiovascular medicine. We combine novel analytical approaches with deep clinical expertise to understand and improve patient outcomes and advance healthcare delivery."


Smith Center Groups

Welcome to the Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology at Beth Israel Deaconess Medical Center. 

We are a team of researchers and physicians using clinical trials and data analysis to assess the current state of cardiovascular care in the United States. We evaluate clinical practices, therapies and devices that are used to treat the full range of cardiovascular conditions.Our evidence-based studies point the way to better practices and better outcomes for patients.

We're fortunate to be associated with the CardioVascular Institute (CVI) at BIDMC, where cardiologists, cardiac surgeons and vascular surgeons provide comprehensive care for the heart and vascular system. The expertise of our physician colleagues is invaluable as we work together to rapidly apply the insights gained through our research to deliver the most effective care to our patients.

We appreciate the generosity of Richard A. and Susan F. Smith in making it possible to pursue our goal: the transformation of cardiovascular care in the United States.

Robert W. Yeh, MD, MSc, MBA
Director

Follow Us

The Smith Center works within four main areas of focus:
  • Assessing real-world comparative effectiveness of treatment strategies, medications and devices;
  • Evaluating ethical concerns in medicine as well as the intended and unintended consequences of health policy interventions;
  • Characterizing racial/ethnic and socioeconomic disparities in care delivery and health outcomes, and examining the factors that drive health inequities;
  • Assessing the ability of novel sources of data (i.e. “Big Data”) to improve risk stratification of patient illness and enhance personalized approaches to medical care.