Biography
- Attending Physician, Critical Care, Ann & Robert H. Lurie Children's Hospital of Chicago
- Assistant Professor of Pediatrics (Critical Care), Northwestern University Feinberg School of Medicine
See Lurie Children's Provider Profile
Colleen Badke, MD, is interested in data-driven outcomes research, specifically defining physiology-based phenotypes of critical illness and short-term outcomes for critically ill children with multiple organ dysfunction syndrome. Dr. Badke hopes to better define the clinical phenotypes of children who experience multiple organ dysfunction syndrome, which she can then use to develop predictive models to identify children most at risk for clinical deterioration. If these at-risk children can be identified earlier and their clinical phenotype defined more specifically, doctors can use a more personalized approach to their care, intervening differently and improving their outcomes.
Education and Background
- Fellowship in Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago 2017-2020
- Chief Residency in Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago 2016-2017
- Residency in Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago 2013-2016
- MD, Wright State University Boonshoft School of Medicine 2013
Research Highlights
PREDICTING CLINICAL DETERIORATION IN MECHANICALLY VENTILATED CHILDREN USING HIGH-FREQUENCY PHYSIOLOGIC DATA
My long-term career goal is to develop and implement physiology-based prediction models that improve outcomes for patients at risk of clinical deterioration. The objective of this K23 award is to derive, validate, and design for the implementation of longitudinal prediction models of clinical deterioration that incorporate high-frequency physiological monitor data and electronic health record-based clinical variables. This award will provide me with mentored research training in data-driven predictive analytics and machine learning model development, advanced statistical methods, and user-centered design and implementation science.
Featured Grants
Predicting Clinical Deterioration in Mechanically Ventilated Children using High-frequency Physiologic Data
NIH/NICHD
08/01/2024 → 07/31/2029
