Collaborative mapping of bottlenecks and opportunities for AI-supported triage in Dutch mental healthcare

ABSTRACT:

This paper explores the role of artificial intelligence to reduce resource burden and support service delivery processes in generalist secondary-care mental health services in the Netherlands. Through semi-structured interviews with domain experts and using service blueprinting as a stimulus, we identified challenges and bottlenecks in mental health care pathways and intervention opportunities. We propose four intervention directions for design researchers and developers to prototype and assess how AI technologies may alleviate capacity issues in mental healthcare.