Scott A. Lorch, MD, MSCE, is assistant professor of Pediatrics at the University of Pennsylvania School of Medicine, with appointments in the Center for Clinical Epidemiology and Biostatistics, and a senior fellow of the Leonard Davis Institute of Health Economics at the University of Pennsylvania. Dr. Lorch received his Master of Science degree in Clinical Epidemiology (MSCE) from the Center for Clinical Epidemiology and Biostatistics at the University of Pennsylvania and has been a faculty investigator at the Center for Outcomes Research centrally involved with projects concerning health economics and quality of care research in both adult and pediatric settings.
Dr. Lorch is the principal investigator on four federally funded projects. Currently he is the principal investigator of a study entitled Parental Trust and Racial Disparities in the Care of Discharged Premature Infants, funded by the National Institute of Child Health and Human Development (Grant Number 1R01HD57168), a study entitled Aggregated Complication Measure for Neonatal Quality of Care funded by the Maternal and Child Health Bureau (Grant Number R40MC05474), a three-year study funded by the Agency for Healthcare Research and Quality entitled Perinatal Regionalization and Quality of Care (Grant Number 1R01HS015696-01A2), and a four-year study funded by the Agency for Healthcare Research and Quality entitled Impact of Obstetric Unit Closures on Pregnancy Outcomes (R018661). He is also an investigator in the Pediatric Quality Metric Consortium site at The Children's Hospital of Philadelphia. He was worked with Pennsylvania and New York pediatric discharge data to examine the effects of hospital occupancy on the efficiency of pediatric hospital care, and the difference between urban and rural hospitals in terms of treatment of children. These outcomes studies were conducted at the Center for Outcomes Research, working with the COR research staff. His work has investigated various measures of infant quality of care and analyses of systems for delivering neonatal care, specifically using an instrumental variables approach and other methods to reduce systematic biases in these types of studies.« Back to Previous Page