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
Clinical informatics; decision support; implementation science; patient safety
Pulmonary Hemorrhage as a Result of Underwater Blast Injury in a Pediatric Patient. Annals of Emergency Medicine. 2025; 86:597-599.
Real-time ventilation quality feedback devices efficacy in out-of-hospital cardiac arrest: a scoping review. Resuscitation Plus. 2025; 26:101069.
Basic Life Support: 2025 International Liaison Committee on Resuscitation Consensus on Science With Treatment Recommendations. Circulation. 2025; 152:S34-S71.
Part 6: Pediatric Basic Life Support: 2025 American Heart Association and American Academy of Pediatrics Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2025; 152:S424-S447.
Understanding Clinical Decision Support Failures in Pediatric Intensive Care Units via Applied Systems Safety Engineering and Human Factors Problem Analysis: Insights From the DISCOVER Learning Lab. Journal of Patient Safety. 2025; 21:S21-S28.
Basic Life Support: 2025 International Liaison Committee on Resuscitation Consensus on Science With Treatment Recommendations. Resuscitation. 2025; 215 Suppl 2:110808.
CPR coach presence is associated with increased cardiopulmonary resuscitation guideline adherence in pediatric in-hospital cardiac arrest: a retrospective cohort study. Resuscitation. 2025; 215:110664.
Characterization of Potentially Avoidable Pediatric Intensive Care Unit Transfers. Hospital Pediatrics. 2025; 15:660-666.
Machine Learning for Predicting Critical Events Among Hospitalized Children. JAMA Network Open. 2025; 8:e2513149.
Characteristics of Hot and Cold Debriefs for In-hospital Cardiac Arrest in the Pediatric Intensive Care Unit: A Mixed-methods Analysis. Pediatric Quality and Safety. 2025; 10:e812.
Maya Dewan, MD, MPH11/18/2025
Maya Dewan, MD, MPH8/25/2022
Maya Dewan, MD, MPH11/2/2021
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