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The Children's National Research Institute

Research Profile

Research Interests

  • Predictive Analytics
  • Operations Research
  • Machine Learning
  • Computational Modeling

Education & Training

  • Fellowship, Pediatric Emergency Medicine, Columbia University Medical Center, New York, NY (2015-2018)
  • Residency, Pediatrics, Columbia University Medical Center, New York, NY (2012-2015)
  • M.D., Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA (2008-2012)

Academic Appointments

  • Assistant Professor of Emergency Medicine, George Washington University School of Medicine and Health Sciences
  • Assistant Professor of Pediatrics, George Washington University School of Medicine and Health Sciences


Kenneth McKinley, M.D., is junior faculty with a research focus in predictive analytics. His academic work during his clinical fellowship and first year as faculty was primarily focused on the application of complex computational models to predict the impact of system changes on pediatric Emergency Department throughput. He is now focused on the application of machine learning algorithms to build risk prediction models for specific pediatric populations that present to the Emergency Department, including patients presenting with chief complaints related to asthma, abdominal pain, or behavioral health. Children with asthma or behavioral health complaints often require extended periods of emergency evaluation. Children presenting with acute, nontraumatic abdominal pain represent a particular challenge in the Emergency Department and are often subjected to prolonged diagnostic workups and unnecessary imaging studies with ionizing radiation. By creating robust risk prediction models for patients presenting with these complaints, Dr. McKinley’s work aims to enhance care for these patients, improve patient throughput generally, and help address the national problem of ED crowding.

Research & Publications