Participatory Design of an AI-Based CDSS for Delirium Prevention
Patricia Gleim, Alexander Ritzi, Sophia Mählmann, Carolin Heizmann, Sven Ziegler, Philipp Kellmeyer · Studies in health technology and informatics · 2025
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.