In this cardiology use case, led by the company Implicity in France, SHAIPED focuses on evaluating the benefits of AI-based remote monitoring for heart failure (HF) patients. The Smart SignalHF solution, developed by Implicity, offers enhanced remote monitoring for cardiac patients with the potential to reduce hospitalizations and improve long-term outcomes. This use case evaluates the effectiveness of Smart SignalHF in both France and Germany, aiming to establish its clinical and economic value in HF management and to secure wider adoption and reimbursement.
In Germany, an epidemiological study will establish baseline data on hospitalization and mortality rates among HF patients, using data from the German Health Data Lab. Following this, a comparative study will assess HF patients using the Implicity solution against this baseline data, using a doubly robust method to adjust for population differences. Meanwhile, in France, a real-world longitudinal study will assess how HF patients using Smart SignalHF compare to those using conventional monitoring in terms of hospitalization rates, healthcare costs, and workload optimization for clinicians. Supported by HDABs in both countries, this use case provides vital evidence for the solution’s effectiveness, paving the way for regulatory approval and reimbursement throughout Europe.