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Erika Bariciak, MD FRCPC
Investigator, CHEO Research Institute
Neonatologist, CHEO
Assistant Professor, Faculty of Medicine, University of Ottawa
Adjunct Professor, Systems and Computer Engineering, Carleton University
613-737-7600 Ext. 2954
Research Practice Areas:
  • Decision support for parents and physicians in the NICU
  • Exploring new ways to diagnose necrotizing enterocolitis
  • Neonatal renal physiology
  • NICU outcome predictions using machine learning algorithms
  • Quality assurance and patient safety in the NICU
Current Research:
Dr. Bariciak is involved in a clinical trial investigating the link between neonatal renal biomarkers and the development of hypertension. She is also researching the use of thermographic imaging to detect early necrotizing enterocolitis. Other projects include the development of a computer-based decision support tool to predict neonatal outcomes (pre-term birth, perinatal mortality); a computer-based system for real-time alerts based on predictions of neonatal outcomes (Necrotizing enterocolitis, Bronchopulmonary dysplasia, mortality, Intraventricular hemorrhage, prolonged ventilation and prolonged NICU admission); and a computer-based decision support tool to help parents and physicians with difficult management decisions in the NICU.
Research Team:
  • Monique Frize
  • Jeff Gilchrist
  • Alison Kent
Dr. Bariciak is a Clinical Investigator at the CHEO Research Institute, an Assistant Professor in the Faculty of Medicine at the University of Ottawa, and an Adjunct Professor in the Department of Systems and Computer Engineering at Carleton University. She is an academic neonatologist practicing in the NICUs at the Children’s Hospital of Eastern Ontario and the Ottawa Hospital General Campus. Her research focuses on the study of neonatal renal physiology and the development and clinical application of computer-based decision support tools using artificial intelligence at the bedside.
Sample Publications:
M. Frize, D. Ong, J. Gilchrist, H. Martirosyan, E. Bariciak. Exploring Approaches to Optimize the Estimation of Preterm Birth Using Machine Learning Techniques. 2015 World Congress on Medical Physics and Biomedical Engineering, Toronto, Ontario, June 7-12, 2015.

Ntonfo G, Frize M, Bariciak E. Detection of Necrotizing Enterocolitis in Newborns using Abdominal Thermal Signature Analysis. IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2015, Torino, Italy, May 7-9, 2015., Torino, Italy, May 7-9, 2015.

Frize M, Martirosyan H, Gilchrist J, Bariciak E. Integration of Outcome Estimations with a Clinical Decision Support System: Application in the Neonatal Intensive Care Unit (NICU). IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2015, Torino, Italy, May 7-9, 2015.

Martirosyan, H., Frize, M., Ong, D. E., Gilchrist, J., Bariciak, A Decision-Support System for Expecting Mothers and Obstetricians. 6th European Conference of the International Federation for Medical and Biological Engineering, Dubrovnik, Croatia, Jan 2015, pp. 703-706.

Filler G, Lopes L, Harrold J, Bariciak E. “β-trace protein may be a more suitable marker of neonatal renal function”, Clin Nephrol. 81(4):269-76. doi: 10.5414/CN108089, 2014 Apr.

Frize M, Bariciak E, Gilchrist J. PPADS: Physician-PArent Decision-Support for Neonatal Intensive Care. Stud Health Technol Inform. 2013;192:23-7.
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