PRIMA-P4 (Predictive, Individualized Medicine & Prevention for All) is a joint research and development initiative led by Tampere University, Tampere University of Applied Sciences (TAMK), the Wellbeing Services County of Pirkanmaa (Pirha), and other Finnish wellbeing services counties. The project aims to transform Finnish healthcare by shifting the focus from disease treatment to disease prediction and prevention. It is based on the principles of P4 Medicine: predictive, preventive, personalized, and participatory healthcare.
The project develops and pilots an innovative operational model that enables the earlier identification of disease risks through the use of health data, artificial intelligence, machine learning, and digital twin technologies. The goal is to provide citizens with individualized preventive interventions before symptoms occur and to support healthcare professionals in evidence-based decision-making.
PRIMA-P4 combines clinical research, health technology, healthcare service development, health economics, ethics, and professional competence development. The model is co-created in collaboration with wellbeing services counties, universities, universities of applied sciences, patient organizations, municipalities, and other stakeholders to ensure that the solutions are practical, ethically sound, and scalable for widespread implementation.
The long-term vision of the project is to establish a national PRIMA-P4 Center for Preventive Medicine in Finland. The Center will serve as a hub for research, education, innovation, and healthcare development, supporting impactful, cost-effective, and citizen-centered preventive healthcare and positioning Finland at the forefront of responsible personalized prevention.
Background
Finland’s healthcare system faces significant challenges due to population ageing, the growing burden of chronic diseases, workforce shortages, and increasing costs. The current system remains largely focused on treating diseases rather than preventing them. At the same time, advances in health data, artificial intelligence, and predictive medicine are creating new opportunities to identify disease risks at an early stage and deliver personalized preventive interventions. The PRIMA-P4 project responds to this need by developing an operational model that supports predictive, preventive, personalized, and participatory healthcare (P4 Medicine), while laying the foundation for a national Center for Preventive Medicine in Finland.
Goal
The PRIMA-P4 project aims to develop and pilot an operational model based on Predictive, Preventive, Personalized, and Participatory (P4) Medicine to support the early identification of disease risks and the implementation of individualized preventive interventions within the Finnish healthcare system. The project combines artificial intelligence, machine learning, digital twin technology, implementation science, health economics, and healthcare innovation to create practical and scalable solutions for predictive and personalized healthcare.
Through close collaboration between wellbeing services counties, universities, universities of applied sciences, healthcare professionals, citizens, and other stakeholders, the project will develop and test new approaches for integrating predictive and preventive care into routine healthcare services. It will also strengthen research, development, and innovation capacity across participating organizations and provide evidence on the feasibility, effectiveness, and cost-effectiveness of personalized prevention.
Ultimately, the project seeks to shift the focus of healthcare from treating diseases to predicting and preventing them, improving population health outcomes, supporting more sustainable use of healthcare resources, and laying the foundation for the establishment of the national PRIMA-P4 Center for Preventive Medicine in Finland.
Impact
The impact of the PRIMA-P4 project lies in shifting healthcare from a reactive model focused on disease treatment to a proactive approach based on prediction and prevention. The project enables earlier identification of disease risks, supports the implementation of personalized preventive interventions, and empowers citizens to take a more active role in managing their health and wellbeing. By improving early detection and targeted prevention, the project aims to enhance population health outcomes, reduce the burden of chronic diseases, and promote more sustainable and cost-effective healthcare services. In addition, the project strengthens research, development, and innovation capacity across wellbeing services counties, higher education institutions, and stakeholders, while laying the foundation for a national model and future Center for Preventive Medicine in Finland.
Funding source
Suomen Akatemia
Contact persons
arja.halkoaho [at] tuni.fi
