PräNUDGE

The Austrian population has a high life expectancy, but a low number of healthy life years. Despite general health awareness, there is a lack of motivation, incentives and structured framework conditions for health promotion. Health data from apps is underutilised, which is a problem for citizens, healthcare providers and the public sector alike. 

PreNUDGE aims to strengthen personal responsibility for health by motivating and empowering citizens to proactively manage their health. By digitally recording health determinants, relevant data is to be collected and made available for the development of health promotion measures. This should lead to an increase in healthy life years, a strengthening of health literacy and more efficient communication with healthcare providers. This will create the following added value:

  • Benefits for the population:
    • structured health profiles;
    • more efficient communication with healthcare providers;
    • improved prevention and early detection;
    • more healthy life years.
  • Benefits for healthcare providers:
    • Better advice;
    • personalised prevention measures;
    • greater efficiency in treatment.
  • Social benefits:
    • Data for public health analyses;
    • evidence-based health strategies.
  • Scientific benefits:
    • Database on the effectiveness of health promotion measures;
    • health economic evaluation.
  • Technical benefits:
    • Development of standardised data structures and connection to ELGA/EHDS.
  • Economic benefits:
    • Promotion of new data-driven business models in the healthcare sector.

The PreNUDGE research project thus focuses on the improved utilisation of health data in order to make prevention more effective and improve the health of the Austrian population in the long term.

  • Funded by Österreichische Forschungsförderungsgesellschaft mbH (FFG)
  • LS24 lead project: Prevention through digitalisation and standardisation of self-reported data
  • FFG project number: FO999921937

More information on the project can be found in u:cris.

Experts of the Department working on this project: