Patients with COPD and heart failure are among the patient groups with the leading healthcare costs for healthcare providers, and among the most vulnerable patient groups as we have seen it during the COVID-19 crisis.
Medsensio and Helgeland Hospital partnered up with 5 other European partners in the Horizon2020-funded pyxy.ai project, aimed to combine AI algorithms with a multi-parametric medical device and a platform for remote monitoring to enable more resource-effective methods of chronic care. The solution will provide better conditions for treating a larger number of patients on a lower level of care. This will lead to a substantial reduction of the health-economic impacts, improving patient satisfaction, and will support better preparedness for dealing with the growing wave of chronic patients, the post-covid population, or a new respiratory pandemic.
The developed platform for patient’s cardiorespiratory health assessment and monitoring for detection of exacerbation signs will bring about a substantial societal impact, including cost savings as well as improved treatment and care, both in the EU and in Norway. Therefore, it is essential to amplify the effect it might have on the Norwegian healthcare sector and on the individual success of the project partners.
This project aims to enhance the impact of pyxy.ai results through additional activities which will highlight the contribution and achievements of the Norwegian partners: scientific and clinical findings, opportunities and benefits of Medsensio’s solution, and access to the collected clinical data. This will encourage innovation in the Norwegian healthcare and healthtech environment, share new medical knowledge, expand expertise in using medical software with AI by the care providers, and give opportunities for new R&D and innovation projects with potential support from the EC’s and national funding programs.
The pyxy.ai project is a H2020-funded project with the primary objective to mature, optimise and demonstrate an AI-powered cloud-based system for patient’s lung health assessment and surveillance, which integrates an intelligent sensor device PyXy and software with novel machine learning algorithms to increase the efficiency and quality of care delivery to chronically ill patients.
It will bring about significant impacts in the healthcare sector in terms of public health preparedness and response, improving health surveillance and care under a pandemic situation as well as in routine chronic care management in the evergrowing elderly community. This means impact on national, international and global levels.
The project results will also include a new clinical dataset with longitudinal multiparameter data from both chronic cardiorespiratory and COVID-19 patients, scientific, clinical findings around exacerbations and chronic disease management, the validation activities’ results, and a plan for international commercialization.
The Norwegian participation in the project is represented by Helgeland Hospital (clinical partner) as WP participant and Medsensio AS (innovative SME) leading WP on the development of software-as-medical-device with novel AI algorithms aimed to automatically detect parameters of changes in the patient’s lung/health which none of the existing digital care/home monitoring providers can deliver today.
With the added value stemming from such novel methods, we see a need for supplementary funding for additional activities which will highlight the contribution and achievements of the Norwegian partners: scientific, clinical findings, opportunities and benefits of Medsensio’s solution, and access to the collected clinical data. This will encourage innovation in the Norwegian health care sector, share new medical knowledge, and give opportunities for new R&D and innovation projects with potential support from the EC’s and national funding programs.