In the pediatric intensive care unit (PICU), children are at high risk for cardiac arrest which may lead to death or permanent disability. Through clinical prediction and improved situation awareness, PICU staff can identify patients prior to cardiac arrest and prevent adverse outcomes.
My research focuses on using the electronic health record to increase situation awareness to aid in the prediction and prevention of deterioration in PICU patients. My goal is to improve the care of the sickest pediatric patients through outstanding medical care and cutting-edge research.
Currently, we are using implementation science to optimize a clinical decision support identification tool for high-risk PICU patients. Through this work we have improved the situation awareness of the team and have reduced cardiac arrests within the PICU. My other research involves clinical decision support for sepsis identification and mitigation, reducing alarm fatigue and improving healthcare value.
Beyond my role as an attending physician, I am an assistant professor in the Division of Critical Care Medicine and the Division of Biomedical Informatics at the University of Cincinnati and the program director for the Pediatric Critical Care Medicine Fellowship program. My dedication to the education of future physicians was recognized in 2019 with the Cincinnati Children’s Resident Faculty Teacher of the Year Award.