Actively Recruiting
Timely Ordering of Pharmacogenetic Testing
Led by The Hospital for Sick Children · Updated on 2026-03-05
275
Participants Needed
1
Research Sites
104 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Timely Ordering of Pharmacogenetic Testing
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Inpatient at The Hospital for Sick Children
- Between 6 months to 18 years old
You will not qualify if you...
- 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
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The Hospital for Sick Children
Toronto, Ontario, Canada, M5G1X8
Actively Recruiting
Research Team
L
Lillian Sung, MD, PhD
CONTACT
A
Agata Wolochacz, BMSc
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
SUPPORTIVE_CARE
Number of Arms
1
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here