Advancing Heart Failure Management through AI-Driven Telemonitoring in Specialized Home Care Setting

Purpose and goal

In AIcares, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure (HF) patients. Using AI, we aim to develop a predictive model identifying advanced HF patients at high mortality risk within a year. Additionally, we plan an intuitive interface, utilizing large language models to communicate predictive outcomes to healthcaregivers. Our goal is to provide cost-efficient, safe, and effective home care for advanced HF patients, tailored to individual patient needs.

Expected effects and result

Expected positive outcome for advanced HF patients include 1) Better health, 2) Greater security and quality-of-life at home, 3) More efficient medical services, 4) Avoidance of repeated hospitalizations due to worsened condition, 5) Greater personal involvement and responsibility for personal health, 6) Values in health care can be provided at lowerer cost compared with hospitalizations, 7) Prospective development of AI solutions for future automated check-ups and treatment support.

Planned approach and implementation

AIcares will be implemented with three work packages: 1) Project management and dissemination for coordinating the project and managing and disseminating the project results 2) AI design and product development Creation of the AI model to identify the patient group and connect with telemonitoring for home healthcare. 3 ) Business development, culture and values - for introducing the model in healthcare, both with the project´s partners but also spreading nationally and internationally.