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Health-promoting perspectives are becoming increasingly important for people living with various health challenges. Development of knowledge and interventions are necessary to enable people to cope with everyday life and to promote health.
We develop knowledge that examines the effect of digital learning resources and simulation on quality and competence in health education and clinical practice.
At BMDLab we deal with biomedical data analysis and medical applications. We employ signal- and image processing, machine learning, artificial intelligence and statistical analysis.
The aim of our interdisciplinary research is to develop new knowledge of relational work in health and welfare professions such as nursing, medicine, and social work.