Enhancing the impact of Pyxy.ai results and applying them to the Norwegian healthcare context
- Funded by The Research Council of Norway (RCN)
- Total publications:0 publications
Grant number: 333223
Grant search
Key facts
Disease
COVID-19Start & end year
20222023Known Financial Commitments (USD)
$90,131.2Funder
The Research Council of Norway (RCN)Principal Investigator
Anna DranovskaResearch Location
NorwayLead Research Institution
MEDSENSIO ASResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Indirect health impacts
Special Interest Tags
Digital Health
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Patients with COPD and heart failure are increasingly burdening the healthcare system and are among the most vulnerable patient groups, as we have seen during the COVID-19 crisis. In the PyXy.ai project, funded by Horizon 2020, Medsensio, Helgelandssykehuset and five other European partners collaborated to develop a solution that combines AI algorithms, multiparametric medical devices and a platform for home monitoring of patients with chronic heart and lung diseases. The goal of the solution is to improve the possibilities of treating a larger number of patients at a lower level of care, while being more proactive in avoiding unnecessary exacerbations. By using digital patient monitoring, the solution increases the healthcare system's capacity to reach more patients and over longer distances, without increasing resource use. This is highly relevant for planning the management of the elderly wave, with an increasing number of chronic patients, post-COVID patients or future pandemics. The platform for digital monitoring of chronic heart and lung diseases will have a significant impact on the healthcare sector and society, both in the EU and Norway, by resulting in cost savings and improved quality of care. This project aimed to highlight the contributions and results of the Norwegian partners, including scientific and clinical findings, the benefits and value proposition of the solution, as well as access to the collected clinical datasets. This will stimulate innovation in the Norwegian healthcare and health technology community, increase the competence of healthcare professionals in the use of medical software with AI, and lead to new research and development projects with potential support from Horizon Europe and national institutions.