Condition: Machine Learning · Prediction Models · Pediatrics · Sponsor: The Hospital for Sick Children
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.
This description comes directly from the study's public registry record.
Lillian Sung, MD, PhD · 4168135287 · lillian.sung@sickkids.ca
Agata Wolochacz, BMSc · 4168137654 · lillian.sung@sickkids.ca
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| The Hospital for Sick Children | Toronto, Ontario, Canada | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06902688