Advancing heart failure management through AI-driven telemonitoring
Research Project, 2024
– 2027
In AIcares, we are combining AI-driven telemonitoring with specialised home care environments to improve the management of heart failure patients. Telemonitoring, which enables the wireless transmission of patient health data for remote management, is becoming increasingly common around the world. This proactive approach reduces the need for hospitalisation, in line with the digital transformation of global healthcare. Patients with advanced heart failure often require recurrent hospitalisation, posing significant challenges for both patients and healthcare systems.
We aim to develop a predictive AI-driven model to identify heart failure patients at high risk of mortality within one year by analysing electronic health records. We will also implement an intuitive interface using language models to communicate predictive results to healthcare professionals to facilitate their decision-making.
Our goal is to provide cost-effective, personalised and safe care for patients with advanced heart failure. By combining telemonitoring, specialised home healthcare and AI-based predictive modelling, AIcares has great potential to both improve patient outcomes and reduce healthcare costs.
Participants
Yinan Yu (contact)
Chalmers, Computer Science and Engineering (Chalmers), Functional Programming
Collaborations
RISE Research Institutes of Sweden
Göteborg, Sweden
Region Skåne
Kristianstad, Sweden
Region Västra Götaland
Vänersborg, Sweden
Sahlgrenska University Hospital
Gothenburg, Sweden
Funding
VINNOVA
Project ID: 2024-01446
Funding Chalmers participation during 2024–2027
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Health Engineering
Areas of Advance