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 associate professor in the Division of Critical Care Medicine and the Division of Biomedical Informatics at the University of Cincinnati. My dedication to the education of future physicians was recognized in 2019 with the Cincinnati Children’s Resident Faculty Teacher of the Year Award.
Graduate Certificate in Clinical Informatics: Oregon Health Services University, Portland, Oregon, 2018.
Clinical Fellow: Division of Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 2013-2016.
Resident: Department of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, 2010-2013.
MPH: University of Pennsylvania, Philadelphia, PA, 2010.
MD: University of Pennsylvania School of Medicine, Philadelphia, PA, 2010.
BA: University of Virginia, Charlottesville, VA, 2004.
Certifications: Pediatric Critical Care, American Board of Pediatrics, November 2016; General Pediatrics, American Board of Pediatrics, October 2013; Pediatric Advanced Life Support.
Critical care medicine
Pediatric Intensive Care Unit PICU
Clinical informatics; decision support; implementation science; patient safety
Critical Care, Biomedical Informatics
The Risk of Coding Racism into Pediatric Sepsis Care: The Necessity of Antiracism in Machine Learning. The Journal of Pediatrics. 2022; 247:129-132.
Implementation and Evaluation of an Artificial Intelligence Driven Simulation to Improve Resident Communication With Primary Care Providers. Academic Pediatrics. 2022; 22:503-505.
Improving CPR Quality by Using a Real-Time Feedback Defibrillator During Pediatric Simulation Training. Pediatric Emergency Care. 2022; 38:e993-e996.
Low Inadequate Oxygen Delivery Index is Associated with Decreased Cardiac Arrest Risk in High-Risk Pediatric ICU Patients. Critical Care Explorations. 2022; 4:e0600.
Improving Shared Situation Awareness for High-risk Therapies in Hospitalized Children. Hospital Pediatrics. 2022; 12:37-46.
Assessment of a Situation Awareness Quality Improvement Intervention to Reduce Cardiac Arrests in the PICU. Pediatric Critical Care Medicine. 2022; 23:4-12.
Risk factors and outcomes for recurrent paediatric in-hospital cardiac arrest: Retrospective multicenter cohort study. Resuscitation. 2021; 169:60-66.
Pulmonary Complications After Pediatric Stem Cell Transplant. Frontiers in Oncology. 2021; 11:755878.
Optimizing Situation Awareness to Reduce Emergency Transfers in Hospitalized Children. Pediatrics. 2021; 148.
Contextual Factors Affecting Implementation of In-hospital Pediatric CPR Quality Improvement Interventions in a Resuscitation Collaborative. Pediatric Quality and Safety. 2021; 6:e455.
Maya Dewan, MD, MPH8/25/2022
Maya Dewan, MD, MPH11/2/2021
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