Using data from studies published in the medical literature over a 40-year time span, Peter DeWitt, PhD, a University of Colorado School of Medicine data scientist in the Department of Biomedical Informatics (DBMI), has developed an automated algorithm to address gaps in children’s blood pressure percentiles, providing a way to directly compare blood pressure measurements for children of the same age, sex, and height.