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
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.
Evaluating post-cardiac arrest blood pressure thresholds associated with neurologic outcome in children: Insights from the pediRES-Q database. Resuscitation. 2025; 207:110468.
Trends in Cardiac Arrest Outcomes & Management in Children with Cardiac Illness Category Compared to Non-Cardiac Illness Category: An Analysis from the AHA Get With The Guidelines®-Resuscitation Registry. Resuscitation. 2024; 205:110430.
Abstract Sa402: CPR Coaches Improve Cardiopulmonary Resuscitation Guideline Adherence in Pediatric In-Hospital Cardiac Arrest. Circulation. 2024; 150:asa402.
Sustainability of a PICU Situation Awareness Intervention: A Qualitative Study. Pediatric Quality and Safety. 2024; 9:e757.
The optimal surface for delivery of CPR: An updated systematic review and meta-analysis. Resuscitation Plus. 2024; 19:100718.
Impact of a relocation to a new critical care building on pediatric safety events. Journal of hospital medicine (Online). 2024; 19:589-595.
Postcardiac Arrest Care Delivery in Pediatric Intensive Care Units: A Plan and Call to Action. Pediatric Quality and Safety. 2024; 9:e727.
Maya Dewan, MD, MPH8/25/2022
Maya Dewan, MD, MPH11/2/2021
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