RecruitingOBSERVATIONAL

Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence

This study is looking for better ways to predict when someone with heart failure might need to be admitted to hospital again or for the first time. Currently, it's hard to tell who will need urgent care. Researchers are gathering lots of different types of information, including data from various medical tests, details from patients about how they feel, and using smart computer programs (AI) to analyse it all. The goal is to build a system that can accurately predict these hospital visits. This could help doctors offer more personalised care and support, potentially reducing hospital stays and improving the health of people living with heart failure.

At a glance

Status

Recruiting

Sponsor

Institute for Clinical Evaluative Sciences

Enrolment target

500

Start

01 Feb 2019

Estimated completion

30 Sep 2029

Heart Failure

What is this study about?

Heart failure is a condition where your heart doesn't pump blood around your body as well as it should. People with heart failure often find themselves needing to go into hospital, sometimes unexpectedly. This study aims to help doctors better understand who might be at higher risk of needing hospital care. We want to find ways to predict these events before they happen, which could lead to better and more personalised support for patients.

To do this, researchers will be looking at lots of different pieces of information. This includes details from your medical records, results from various medical tests (including some new, advanced tests), and even information about how you're feeling and your daily health measurements, like your heart rate and weight. They'll also be using clever computer programs, known as Artificial Intelligence (AI) or machine learning, to look for patterns in all this data that human eyes might miss. The idea is that by bringing all this information together, we can build a much clearer picture of someone's health and better predict their future needs.

Ultimately, by improving our ability to predict hospital admissions, doctors can offer more targeted care. This could mean they can step in earlier with extra support or adjust treatments to help prevent a hospital stay. The study isn't testing new medicines or treatments; instead, it's about making better use of all the information we already have about heart failure to improve patient care.

Key takeaways

Aims to predict hospital visits for heart failure patients.
Uses existing medical data, patient reports, and AI.
No new treatments or interventions are given.
Focuses on improving future patient care.
Participation involves sharing health information.
You can withdraw from the study at any time.

Who may be eligible?

To be considered for this study, you need to be an adult aged 18 or older who has been admitted to hospital or seen in an emergency department because of heart failure. The doctors will use recognised medical guidelines and blood tests to confirm your heart failure diagnosis. You also need to be able to understand the study and agree to take part by giving your informed consent.

Unfortunately, this study isn't suitable for everyone. You wouldn't be able to join if you have severe memory problems or dementia that prevent you from communicating, or if you live in a nursing home or other long-term care facility. Also, if you live outside of Ontario (the specific region where this study is happening) then you wouldn't be eligible. If you're unable to communicate and don't have a close family member or friend who can help you understand and discuss the study, you also won't be able to take part.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you 18 years old or older?
Have you recently been in hospital or an emergency department for heart failure?
Can you understand and agree to take part in a study?
Do you live in Ontario?

Answer every question to see your result.

What does participation involve?

If you take part in this study, you won't be given any new treatments or medications. Instead, the researchers will be collecting information about your health. This includes details from your medical records, possibly some extra blood tests, and information about how you're feeling and your daily health from what you report. You might also have some routine health measurements, like your heart rate or weight, collected. The researchers will be following your health over time to see if the patterns they identify can predict future hospital admissions. The exact total duration of your participation isn't specified, but it's a study where information is gathered over time.

Potential risks and benefits

A potential benefit of taking part is that your information will contribute to a better understanding of heart failure, which could lead to improved care for future patients. While there are no direct personal medical benefits from participating, knowing you've helped advance medical knowledge can be rewarding. The risks are generally low, as you won't be given any new treatments. There might be a small discomfort from extra blood tests, if any are needed. Your privacy is very important, and all your personal information will be kept confidential. Remember, you can decide to stop being part of the study at any time, for any reason, without it affecting your medical care.

Locations (1)

University Health Network
Verified postcode
Toronto, Canada· Recruiting

Common questions

What is 'heart failure'?

Heart failure means your heart isn't pumping blood as effectively as it should. It can lead to symptoms like breathlessness and tiredness.

Will I be given new medicine if I join?

No, this study isn't testing new treatments. It's about understanding and predicting health changes in heart failure.

Who is running this study?

The study is being conducted by researchers aiming to improve care for heart failure patients.

What does 'predict readmissions' mean?

It means trying to figure out which patients might need to go back to hospital in the future due to their heart failure.

Is my personal information safe?

Yes, all your personal and medical information will be kept strictly private and confidential.

How to find out more

Douglas S Lee, MD, PhD

dlee@ices.on.ca 4163403861 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.