Timely Ordering of Pharmacogenetic Testing

The goal of this trial is to learn if a machine learning (ML) model can help optimize drug therapy in the pediatric population. The main question\[s\] it aims to answer are whether a machine learning model predicting receipt of a targeted medication within the next three months: * Increases the offering of pharmacogenetic testing prior to receipt of a targeted medication * Increases the number of patients with pharmacogenetic results prior to receipt of a targeted medication * Increases the number of patients who have alteration in medication choice or dose based on pharmacogenetic results This trial only focuses on the prediction and provision of participants with a high-risk of receiving a medication with a pharmacogenetic indication in the next three months.

Inclusion Criteria: * Inpatient at The Hospital for Sick Children * Between 6 months to 18 years old Exclusion Criteria: * Prior pharmacogenetic testing and/or prior receipt of a targeted medication * Current Intensive Care Unit (ICU) admission * Expected hospital discharge is prior to midnight on the day of admission