Title: Characterization of Critically Ill Patients: A Clinical Application of the Health Facts Data Set
Presenter: Anita K. Patel, MD, & Eduardo Trujillo-Rivera, PhD
Abstract: Using the Health Facts EMR data, critically ill pediatric patients that had at least one admission to the Intensive Care Unit (ICU) were characterized in terms of the number of hours they were administered with drugs usually administrated when either intubated or in mechanical ventilation. The study analyzed the vectors containing the number of hours each combination of medicines was administered to each patient during different periods of ICU admission and floor admission, using a class of Bayesian regression models with the Dirichlet-Multinomial distribution for the response and random effects to capture the inherent variability of each encounter and hospital, adjusting for demographic information. During this seminar, we will describe the process of cohort and records selection, the model and the interpretation of the parameters, and the results of the characterization. We will also explain how the model can be used for treatment comparisons for similar patients in different hospitals.