| Project Detail |
Heart failure care with AI and data Heart failure is a widespread and serious condition that impacts the heart’s ability to pump blood. Affecting 64 million people worldwide, it often leads to recurrent hospitalisations due to worsening symptoms. These hospital admissions could be prevented with timely intervention and personalised care, but currently, no comprehensive data platform exists to manage heart failure patients holistically. The lack of such a system results in missed opportunities for early detection. The EIC-funded SignalHF project will introduce an AI-driven module that predicts heart failure events using data from cardiac implantable devices. It will also provide a complete software suite to manage alerts, treatments, patient engagement, and workflows, helping reduce hospitalisations and improve patient outcomes. Heart failure is a serious chronic medical condition that impairs the hearts ability to effectively pump blood. Globally, it has a prevalence of 64 million people. Heart failure patients often have to be hospitalised to manage symptoms exacerbation. These hospitalisations are preventable with data-based insights and tailored therapies. But no holistic data platform for heart failure patients exists today. Implicity is set to change this situation with its suite of data-driven insights for managing heart failure. Implicity already provides a heart failure remote monitoring platform with symptoms-based decompensation detection features. In this project, we are developing a second module that focuses on AI-based prediction of heart failure events based on cardiac implantable electronic devices data, combined with an end-to-end software suite managing alerts, treatments, patient engagement and workflow optimisation, enabling better care and decreasing the hospitalisation burden. |
