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RECRUITING
NCT06902688
NA

Timely Ordering of Pharmacogenetic Testing

Sponsor: The Hospital for Sick Children

View on ClinicalTrials.gov

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.

Official title: Timely Ordering of Pharmacogenetic Testing in Pediatric Oncology

Key Details

Gender

All

Age Range

6 Months - 18 Years

Study Type

INTERVENTIONAL

Enrollment

275

Start Date

2025-06-10

Completion Date

2027-06-10

Last Updated

2026-03-05

Healthy Volunteers

No

Interventions

OTHER

ML-based intervention

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)

The Hospital for Sick Children

Toronto, Ontario, Canada