About this trial
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 criteria
Qualifiers
Inpatient at The Hospital for Sick Children
Between 6 months to 18 years old
Disqualifiers
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
Trial design
Treatments tested in this trial
- ML-based intervention