Application Areas at CAISR

Information driven care

By using artificial intelligence (AI) to draw conclusions about collected health data, care givers and hospital managements can make better informed decisions and care can be even more individualised. The concept is called information driven care.

CAISR is focusing on understanding all parts of an information driven healthcare system and to build up knowledge about the whole chain – from formulating and prioritising questions, to algorithms, data collection, conclusions, engagement, explainability and implementation. To goal is to establish top-level research on implementing information driven care, on improvement and on privacy-preserving distributed data mining and machine learning in healthcare contexts. This is done by working along four dimensions:

• Research
• Data infrastructure
• Industrial cooperation and innovation
• Education and increased competence

Achieving impact within information driven care not only requires technical development, but also culture and implementation changes. CAISR is a multidisciplinary collaboration between three research environments at Halmstad University, which together form the University’s KK Environment Research for Innovation. CAISR builds of competences in AI, health economics, implementation science and health management. It is a unique initiative to bring all these competencies together with Region Halland and industry partners in a joint undertaking on information driven care.

CAISR Health

Connected to CAISR is CAISR Health, a research profile within information driven care where research on the development of AI tools meet research on how these tools can be implemented in healthcare.

CAISR Health

Leap for Life

Halmstad University, Region Halland, all municipalities in Halland and the region's business sector has a joint innovation centre for information driven care called Leap for Life.

Leap for Life External link, opens in new window.

Contact person for CAISR information driven care: Mattias Ohlsson

Intelligent vehicles & predictive maintenance

We are witnessing major technological and societal developments in personal and commercial mobility. This includes ever smarter driver assistance systems, vehicles that achieve efficient and reliable operation by continuously monitoring and understanding sensor data, as well as rapid advances towards autonomous cars. Many innovations are based on the increasing amount and variety of data exchanged between vehicles and with the infrastructure.

Development of intelligent vehicles combines many disciplines, including data mining, artificial intelligence, robotics, signal analysis, perception, machine learning, big data, human factors, and interaction design. Our cutting edge research combined with the capabilities and assets of our partners allows CAISR to push the boundaries of the feasible and economically viable, creating scientifically valid and practical solutions.

Our intelligent vehicles project portfolio builds on our strengths in data mining on the one hand and autonomous systems on the other. This is reflected in our expertise in data-driven modeling, knowledge representation, self-monitoring, localization, perception, mapping, and motion generation.

Contact person for CAISR intelligent vehicles & predictive maintenance: Slawomir Nowaczyk