Digital care pathways for Stroke prevention and diagnostics

Co-creating solutions for early detection, prevention, and rehabilitation of stroke utilizing AI, sensors, and digital platforms.

Project information

Project duration


Funded by

Business Finland

Funding amount

5 700 000 EUR

Project coordinator

University of Oulu

Contact information

Contact person

Other persons

Project description

The Stroke Data consortium aims to develop solutions for early detection, prevention, and rehabilitation of stroke (e.g. AI-based decision support systems, video and speech analysis methods). In addition, the project is developing new sensors for patient measurements (e.g., near-infrared spectroscopy and low-frequency EEG measurement). The project will also develop an ecosystem business model to accelerate the access of the developed solutions to national and international markets.

Project results

  • Patient-facing solution to support stroke patient from hospital to rehabilitation and back home
  • Professional-facing solution to support expert team decision making in from emergency care to hospital, rehabilitation and back home
  • Feasibility tests for the co-created solutions
  • Prediction model to show the solution impact
  • Business model alternatives that help companies and hospitals to take the Stroke-Data solutions to the selected Nordic, Asian, US and Australian markets

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Research groups