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.

NCT Number	NCT06902688
Lead Sponsor	The Hospital for Sick Children
Conditions	Machine Learning, Prediction Models, Pediatrics, Precision Medicine
Enrollment	275 participants
Start Date	2025-06-10
Primary Completion	2026-06 (estimated)
Study Completion	2027-06-10 (estimated)
Updated on ClinicalTrials.gov	2026-03-05