Project Details
Description
Heart failure (HF) is a pandemic currently affecting up to 15 million people in Europe. It is a complex clinical syndrome presenting with impaired heart function and is associated with poor quality of life for patients and high healthcare costs. There is a high clinical demand for novel risk stratification tools in HF. Such tools are essential to allow prompt initiation of evidence-based prevention and treatment strategies which will improve patient quality of life, reduce morbidity and mortality and the HF burden on healthcare. The project aims to develop, validate and implement decision support system for risk stratification in HF. It will integrate patient-specific demographic and clinical data. Multidisciplinary consortium, including three small-to-medium enterprises will work together to improve the quality and length of patients’ lives and lead to efficient and sustainable healthcare systems.
Funded by EU's Horizon Europe and supported by the UK Research and Innovation.
Total project value: €5,998,056 (to Coventry University €856,381)
Funded by EU's Horizon Europe and supported by the UK Research and Innovation.
Total project value: €5,998,056 (to Coventry University €856,381)
Short title | Risk stratification and diagnosis of heart failure |
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Status | Active |
Effective start/end date | 1/06/23 → 31/05/27 |
Collaborative partners
- Coventry University (lead)
- University Hospitals Coventry and Warwickshire NHS Trust
- University Hospital Regensburg
- University of Ljubljana
- PKNM Solutions Sàrl
- University of Novi Sad
- University Medical Centre Utrecht
- BIOIRC - Bioengineering Research and Development Center
- University of Florence
- BNC Health
- Foundation for Research & Technology-Hellas (FORTH)
- University Hospital Ramón y Cajal
- Newcastle University
- European Primary Care Cardiovascular Society
- Heart Failure Association of Serbia
- University of Cambridge
Keywords
- Heart Failure, Risk Stratification, Diagnosis, Artificial Intelligence, Primary Care, Secondary Care
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