Actively Recruiting
Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence
Led by Institute for Clinical Evaluative Sciences · Updated on 2021-09-02
500
Participants Needed
1
Research Sites
556 weeks
Total Duration
On this page
Sponsors
I
Institute for Clinical Evaluative Sciences
Lead Sponsor
T
Ted Rogers Centre for Heart Research
Collaborating Sponsor
AI-Summary
What this Trial Is About
This study is a prospective registry that aims to predict readmissions in patients with heart failure, using -omics, machine learning, patient reported outcomes, clinical data and other high-dimensional data sources.
CONDITIONS
Official Title
Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Any patient aged 18 years or older admitted to hospital or seen in the emergency department with heart failure defined clinically
- Diagnosis guided by Framingham criteria for heart failure and/or BNP levels (BNP >400 definite heart failure; BNP 100-400 possible heart failure)
- Provides informed consent
You will not qualify if you...
- Patients unable to communicate due to dementia or severe cognitive deficits
- Non-Ontario residents
- Nursing home residents
- Patients discharged to skilled nursing facilities (long-term care or chronic institution) instead of home
- Patients unable to communicate without a proxy (e.g., spouse or close family member) to assist communication
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
University Health Network
Toronto, Ontario, Canada
Actively Recruiting
Research Team
D
Douglas S Lee, MD, PhD
CONTACT
S
Suzanne Perrett
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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