RecruitingNCT05028686

Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence


Sponsor

Institute for Clinical Evaluative Sciences

Enrollment

500 participants

Start Date

Feb 1, 2019

Study Type

OBSERVATIONAL

Conditions

Summary

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.


Eligibility

Min Age: 18 YearsMax Age: 105 Years

Plain Language Summary

Simplified for easier understanding

This Canadian study uses advanced data analysis — including blood proteins, genetics, and artificial intelligence — to better predict which heart failure patients will be readmitted to hospital within 30 days of being discharged. The goal is to identify high-risk patients earlier so doctors can prevent readmissions. **You may be eligible if...** - You are 18 or older - You were admitted to hospital or seen in the emergency department with heart failure - You can give informed consent (or have a family member who can assist) **You may NOT be eligible if...** - You have dementia or severe cognitive difficulties that prevent communication - You live outside Ontario - You live in a nursing home - You are being discharged to a long-term care or chronic care facility (not home) Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERNo intervention

Observational cohort


Locations(1)

University Health Network

Toronto, Ontario, Canada

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NCT05028686


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