The Norwegian population is ageing. People live longer, and more people will live with chronic diseases for a longer period. With the current organization, twice as many employees will be needed in the health sector within 50 years.
Artificial intelligence (AI) makes it possible for machines to analyse complex problems, and suggest tailored solutions. Large amounts of digital health records, cheap computing power and better algorithms have led to several breakthroughs in the field of AI in health. Today, intelligent machines can examine photos of the brain and identify risk of dementia six years earlier than traditional methods. They can predict hospital admissions more precisely by analyzing patient records. Such algorithms can make advanced specialist assessments easier to access for both patients and non-specialist medical staff.
This project is a continuation of the previous work in the Norwegian Board of Technology regarding mobile health and AI.
See also the trend report Kunstig intelligens i klinikken: Seks trender for fremtidens helsetjeneste (in Norwegian).
Expert group
- Damoun Nassehi, GP, post. doc at the University of Stavanger and member of the Norwegian Board of Technology
- Steinar Madsen, Medical Director, The Norwegian Medicines Agency
- Erik Fosse, Head of department, The Intervention Centre, Oslo University Hospital
- Michael Riegler, Simula Metropolitan Center for Digital Engineering and UiT The Arctic University of Norway
- Helga Brøgger, Senior advisor/MD, The Norwegian Board of Health Supervision
