Mälardalens university´s Evidence-based Ecosystem for Health and Welfare Technology is a network connecting relevant multi- stakeholders. These include: academia, health and social care providers and professionals, decision and policymakers in regional government, municipalities, and government agencies, civil society, technology developers and research/innovation centers.

This ecosystem is about shifting mindsets from reactive care to proactive and preventive strategies that help individuals to stay healthy, prevent and manage diseases, age well with good quality of life, independence and dignity. Health and welfare technology is a driving force that can substantially facilitate this shift by empowering individuals and at the same time expanding health system capacity, promoting efficiency and accessibility with a person-centred focus.

We define health and welfare technology as a technology-based intervention that aims at: maintaining or promoting health, wellbeing, quality of life and/or increasing efficiency in the service delivery system of welfare, health and social care services, while improving working conditions of the staff.

The main objective of this ecosystem is to create a real-world evidence-based platform that supports successful implementation of health and welfare technology and effective decision-making processes and efficiency in the system delivery of health and social care services aimed atpromoting good quality of life, health and wellbeing, prevention and better management of diseases- from a person-centred perspective.

Specific objectives include:

• Bringing together cross-functional stakeholders to foster innovation, promote co-operation and smoothen ineffective silos in the system delivery of health and social care services when implementing health and welfare technology.
• Accelerating the adoption and optimization of health and welfare technology to promote health and well-being, prevention, disease management and healthy aging from a person-centred perspective.
• Creating real-world evidence-based models to support value proposition of new technology, decision-making processes and pathways for value-based tendering, sustainable reimbursement models, successful implementation, optimization and evaluation of effectiveness of health and welfare technology.