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

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2022
    2023
  • Known Financial Commitments (USD)

    $90,131.2
  • Funder

    The Research Council of Norway (RCN)
  • Principal Investigator

    Anna Dranovska
  • Research Location

    Norway
  • Lead Research Institution

    MEDSENSIO AS
  • Research 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.