The STRATIFYHF project addresses the pressing global challenge of heart failure (HF), which affects an estimated 26 million people worldwide, including 15 million in Europe. HF is a complex, chronic condition associated with impaired heart function, high healthcare costs, and poor quality of life. Current approaches to risk stratification and early diagnosis in clinical settings are limited, often leading to delayed or inaccurate diagnoses, missed treatment opportunities, and unnecessary healthcare expenditures.
The motivation behind STRATIFYHF stems from the urgent need for innovative, cost-effective tools to enable early detection, risk stratification, and disease progression prediction in HF. Traditional diagnostic methods, such as physical examinations, blood tests, and echocardiography, are not only time-consuming but also rely heavily on individual practitioners’ expertise, leading to variability in outcomes. Moreover, the absence of AI-driven decision support tools in primary and secondary care has been identified as a critical barrier to improving HF diagnosis and management.
STRATIFYHF proposes a transformative solution in the form of an AI-based Decision Support System (DSS). The system will integrate patient-specific data—demographics, clinical records, genetics, lifestyle factors, and socio-economic conditions—with state-of-the-art AI algorithms and computational modeling. This integration will facilitate three core modules: risk stratification, diagnosis, and disease progression prediction. By using existing and novel technologies, including voice biomarkers and the CORS test, STRATIFYHF aims to enhance the accuracy and efficiency of HF management at both primary and secondary care levels.
The expected impacts of STRATIFYHF are significant and multifaceted:
1. For Patients:
- Earlier and more accurate diagnoses will lead to timely initiation of treatment, improving survival rates and quality of life.
- Patients will gain access to a mobile app that empowers them to monitor their health, manage risks, and adhere to preventive strategies, reducing psychological and economic burdens.
2. For Healthcare Providers:
- Clinicians will have access to robust, validated AI tools to assist in decision-making, reducing the reliance on subjective judgment.
- The DSS will streamline the diagnostic pathway, minimizing unnecessary referrals and optimizing the usage of healthcare resources.
3. For Healthcare Systems:
- The digitalization of HF care pathways will reduce healthcare costs by decreasing hospitalizations, shortening waiting times, and mitigating diagnostic errors.
- STRATIFYHF will alleviate the burden on secondary care by enabling more efficient resource allocation.
The project also aligns strategically with European healthcare goals, addressing major barriers such as limited access to diagnostic tools, under utilization of AI in clinical settings, and a growing HF burden due to aging populations and rising comorbidities. The initiative will advance the field of medical AI, set new standards for HF management, and foster cross-disciplinary collaboration.
STRATIFYHF will establish a replicable model for integrating AI into healthcare, demonstrating how technology can revolutionize chronic disease management. Its potential to reduce HF-related mortality and improve care quality positions STRATIFYHF as a transformative project with a substantial impact on patients, practitioners, and global healthcare systems.
