Timely Ordering of Pharmacogenetic Testing
Timely Ordering of Pharmacogenetic Testing in Pediatric Oncology
The Hospital for Sick Children
275 participants
Jun 10, 2025
INTERVENTIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria2
- Inpatient at The Hospital for Sick Children
- Between 6 months to 18 years old
Exclusion Criteria3
- 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
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Interventions
A ML-based model will predict and identify participants that are at high-risk of receiving a targeted medication within three months after their hospital admission date.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06902688