Sweden provides Information driven, individually tailored and scalable, healthcare fueled by AI
Reference number | |
Coordinator | Lindholmen Science Park AB - AI Innovation of Sweden |
Funding from Vinnova | SEK 25 000 000 |
Project duration | November 2019 - May 2025 |
Status | Ongoing |
Venture | Vision-driven health |
Call | Establishment of vision-driven innovation milieus |
Purpose and goal
In order to successfully develop and distribute AI solutions, Swedish healthcare providers, especially regions and municipalities, must collaborate with each other and industry, academia and decision makers. The aim of the project is to develop and establish the necessary cooperation and innovation structures. Leading examples should be identified, strengthened and actively disseminated. Participating healthcare organizations should be more closely linked to the overall Swedish AI ecosystem and the national innovation platform AI Innovation of Sweden.
Expected effects and result
The project is expected to accelerate the application of AI in Swedish healthcare, which will generate positive effects at both system- and patient level. The project will also result in established collaboration structures and improved knowledge exchange between healthcare players, as well as between healthcare , academia and industry. Expected results are scalable AI solutions that can be implemented by multiple healthcare providers. The project is also expected to lgenerate several new research and innovation projects in the area of information-driven healthcare and AI.
Planned approach and implementation
During the first two years, the focus will be on establishing the innovation environment, identifying new innovators, early adopters, projects, and partners. The first innovator, Region Halland and Halmstad University, will focus on the implementation of information-driven care, privacy preservation analytics and disseminating results. Karolinska Universitetssjukhuset leads the first feasibility study with the aim to learn from Halland as well as identifying own areas of strength. Several feasibility studies will be conducted during the first two years.