Participatory Design of an AI-Based CDSS for Delirium Prevention.

Journal: Studies in health technology and informatics
Published Date: May 15, 2025

Abstract

Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and cognitive impairment. The KIDELIR project aims to develop a clinical decision support system (CDSS) based on artificial intelligence (AI) to predict delirium risk and improve prevention by addressing the practical needs of healthcare professionals (HCPs) through a participatory, ethics-by-design approach. Initial findings highlight the need for feasible, workload-reducing tools that support interprofessional collaboration while balancing AI's role in clinical decision-making without undermining professional expertise.

Authors

  • Patricia Gleim
    Human-Technology Interaction Lab, Department of Neurosurgery, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Alexander Ritzi
    Center of Implementing Nursing Care Innovations Freiburg, Medical Center - University of Freiburg, Germany.
  • Sophia Mählmann
    Center of Implementing Nursing Care Innovations, Medical Center - University of Freiburg, Germany.
  • Carolin Heizmann
    Human-Technology Interaction Lab, Department of Neurosurgery, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Sven Ziegler
    Center of Implementing Nursing Care Innovations, Medical Center - University of Freiburg, Germany.
  • Philipp Kellmeyer
    University of Freiburg, Germany.

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