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Advancing heart failure management through AI-driven telemonitoring

AIcares combines AI-based predictive modelling with specialised home healthcare to improve and personalise the care of patients with advanced heart failure.v

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.

Summary

Project name

AIcares

Status

Active

Region

Region Skåne, Västra Götaland Region

RISE role in project

Coordinator and project leader

Project start

Duration

3 years

Total budget

SEK 10 million

Partner

Chalmers University of Technology, Department of Computer Science and Engineering, Platform 24 Healthcare AB, Region Skåne, Emergency medicine and internal medicine, Sahlgrenska University Hospital - Cardiology department

Funders

Vinnova

Project members

Yalda Bogestål

Contact person

Yalda Bogestål

Projektledare

+46 10 516 54 32

Read more about Yalda

Contact Yalda
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