Economic Evaluation of Heart Failure Strategies in the STRATIFYHF Project

The STRATIFYHF project develops an AI-based decision support system integrating patient data with computational modelling to support risk stratification, diagnosis and progression prediction in heart failure. This study evaluates the cost-effectiveness of AI-enhanced ECG screening for asymptomatic left ventricular dysfunction in Serbia using decision-tree and Markov modelling. Screening at age 65 was estimated to cost around \$23,351 per quality-adjusted life year (QALY) gained, below the common \$30,000 willingness-to-pay threshold, with comparable results at ages 55 and 75. The analysis highlights that cost-effectiveness is highly sensitive to test performance and screening costs, motivating further validation of the AI algorithm. This work was presented at the 4th Serbian International Conference on Applied Artificial Intelligence (SICAAI 2025), Zlatibor, Serbia, and was carried out within the STRATIFYHF project.