RecruitingNot ApplicableNCT06902688

Timely Ordering of Pharmacogenetic Testing

Timely Ordering of Pharmacogenetic Testing in Pediatric Oncology


Sponsor

The Hospital for Sick Children

Enrollment

275 participants

Start Date

Jun 10, 2025

Study Type

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

Min Age: 6 MonthsMax Age: 18 Years

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

OTHERML-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

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NCT06902688


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