Decision support system for diagnosis and progression of heart failure

  • Research type

    Research Study

  • Full title

    Clinical validation of an artificial intelligence-based decision support system for predicting risk, diagnosis, and progression of heart failure

  • IRAS ID

    338949

  • Contact name

    Djordje Jakovljevic

  • Contact email

    djordje.jakovljevic@coventry.ac.uk

  • Sponsor organisation

    Coventry University, UK

  • Duration of Study in the UK

    2 years, 11 months, 30 days

  • Research summary

    Heart failure is a health problem where the heart doesn't work as well as it should, and it affects almost a million people in the UK. Catching it early can help people live longer and save on healthcare costs, but this is hard to do and often missed in the beginning stages. Doctors use a blood test to find signs of heart failure, and many patients don't even get this test until 6 months before they're diagnosed with heart failure. Sadly, the test is only correct about 65% of the time. This means some people may be sent to specialists unnecessarily leading to yearly NHS cost of £42 million which could be avoided. So, it's clear we need better ways to detect early, the risk and diagnosis of heart failure in GP practices. We plan to collect clinical data from existing heart failure patients and those suspected to be at risk of heart failure, to understand how current heart failure diagnostic tools help to predict heart failure risk, diagnosis, and progression. The goal is to help GPs make better decisions, reduce unnecessary travel for patients, and improve the diagnosis of heart failure.

  • REC name

    East Midlands - Leicester Central Research Ethics Committee

  • REC reference

    24/EM/0101

  • Date of REC Opinion

    19 Jul 2024

  • REC opinion

    Further Information Favourable Opinion