Karen Dorsey Sheares, MD, PhD
Cards
About
Titles
Associate Professor Adjunct
Biography
Karen D Sheares, MD, PhD is a Director at the Yale New Haven Hospital, Center for Outcomes Research and Evaluation (CORE) and an Associate Research Scientist in the Department of Pediatrics at Yale University . Dr. Sheares earned her undergraduate degree at the University of Virginia and medical degree at Washington University in St. Louis. She completed training in Pediatrics at the Children’s Hospital of New York-Presbyterian and matriculated to the Robert Wood Johnson Clinical Scholars Program at Yale University. She subsequently earned a doctorate in Investigative Medicine from Yale University. Dr. Sheares began her research career focused on the relationship between obesity and physical activity in children before joining CORE in 2012. As a Director of the Quality Measurement Program at CORE, she oversees development and implementation of new measures with expertise in digital measures that use data from electronic health records. She also oversees CORE's Digital Transformation Strategy for federal projects and federal new business development.
Education & Training
- PhD
- Yale University (2006)
- Clinical Research Fellow
- Investigative Medicine Program, Yale University School of Medicine (2006)
- Clinical Scholar
- Yale University School of Medicine (2003)
- Resident
- Children's Hospital of New York-Presbyterian Hospital (2001)
- Intern
- Children's Hospital of New York-Presbyterian Hospital (1999)
- MD
- Washington University School of Medicine (1998)
- BA
- University of Virginia (1994)
Research
Clinical Care
Overview
Karen Dorsey Sheares, MD, PhD, is a pediatrician specializing in the treatment of conditions such as obesity, sleep apnea, acne, anemia, and asthma. She is the director of the Quality Measurement Program at CORE.
As an associate research scientist at Yale University School of Medicine, Dr. Sheares's research has examined the effects of changes in medical documentation on lung disease mortality rates, healthcare cost predictions using Medicare data, risk model assessment, and coding-related biases in pneumonia outcomes.