Despite significant advances in therapeutic methods over the decades, Heart Failure (HF) remains today a major public health problem with a significant economic burden. HF is currently the leading cause of hospitalization in people older than 65 years with still high early post-discharge readmission rates. The present thesis was conducted to develop new management strategies to improve HF prognosis and reduce its economic burden. In a first step, we built a new individualized dynamic non-invasive automated and autonomous alert triggering system for early detection and early preventive therapeutic intervention of HF deterioration which performed better than the previous systems. In a second step, we showed that traditional health status measures of morbidity and mortality and quality-of-life health status measures provide additive information in defining HF prognosis. Both health instruments should now be used together to assess health in a global perspective for HF patients.