As a trained epidemiologist and pediatric intensivist, my area of research focuses on the delivery and outcomes of health care services for critically ill children in the United States. At the health system level, I am interested in where children with severe illness or injury receive their care and how the cost and outcomes of pediatric care differs by hospital type, region of the U.S., and/or over time. At the individual patient level, I am interested in how critical illness itself affects a child’s developmental trajectory. Questions of specific interest to me include to what extent children with critical illness experience significant neurocognitive, developmental, and other health sequelae from their illness; the frequency, severity and natural history of these sequelae; and to what extent these sequelae can be mitigated by appropriate post-discharge care. My career goal is to build a pediatric critical care outcomes center with a research program that will address these questions and a clinical mandate to provide appropriate longitudinal services to our PICU survivors and their families. My current area of expertise is in the use of administrative datasets, and I now have extensive analytic experience using state-wide, inpatient datasets available from the Healthcare Cost and Utilization Project (HCUP), a division of the Agency for Healthcare Research and Quality (AHRQ). I have used HCUP data to answer large-scale epidemiologic questions, for example, how do state-wide trauma systems manage children with severe traumatic brain injury? How has hospital care for children with severe asthma changed over time? In addition, I have recent experience with Medicare and MarketScan datasets. I am currently using Medicare data to develop a comprehensive scale to quantify health state and likelihood of 1-year mortality for Medicare beneficiaries. Such a scale can be used facilitate medical decision-making, to track a person’s health over time, and as a means to control for health status when making comparisons of healthcare outcomes from one region to another. MarketScan is an anonymized health insurance dataset, and I’m using it for several projects investigating recovery after critical illness in childhood. In the first project, I am comparing health care utilization for children in the year prior to and the year after a prolonged pediatric intensive care unit (PICU) admission. My second project investigates the prevalence of anxiety- and stress-related disorders and the use of mental health services among the parents of children who have had a prolonged PICU admission. To facilitate my analysis of and developing expertise in these latter datasets, I have established a collaborative relationship with senior investigators at the Washington University Center for Administrative Data Research (CADR).