Automation of care, user involvement and learning

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Our research focuses on the care implications of technological arrangements that aim to streamline professional work and provide quality of care. With great interest, we follow national strategies and policymaking in relation to the welfare technology agenda to understand how automation and standardization affect the quality of care.

Based on American pragmatism, we examine what happens when measures aimed at intensifying patients' involvement, self-dependence and responsibility meet care practices. We are particularly interested in exploring the use of care robots, AI, monitoring systems, lifting technology, telecare, self-monitoring, and patient education. Our research is based on ethnographic methods, and we find inspiration in symbolic interactionism, ethnomethodology and science and technology studies (STS).

Important questions:

  • What happens when different forms of policymaking meet care practice?
  • Can automation of care tasks empower patients?
  • How can AI and algorithms contribute to better user involvement, learning and good quality of care?
  • How can health professionals be involved to a greater extent in technology projects, e.g., in projects dealing with care robots?
  • How do technology projects change organization, tasks, roles, and responsibilities and how can we learn from this?
  • What form of management and user involvement is increasingly being called for by digitization of health?
  • What can we learn from the many failed technology projects?
  • How can we learn from resistance to new technology?

keyboard_backspace If you would like to discuss questions related to the automation of care, user involvement and learning in your own organization, then contact our expert Niels Nickelsen.

Samarbeid og nettverk

  • Society for Social Studies of Science (4S)
  • European Association for the Study of Science and Technology (EASST)
  • Aarhus Universitet

Prosjekter

  • Co-Bot
  • RECOPE
  • The Infrastructure of Telecare – Imaginaries, Standards and Tinkering
  • EACR