The primary objective of this project is to enhance the quality of care and the fluidity of clinical processes in the field of mental health by leveraging artificial intelligence (AI). In partnership with the interRAI consortium, the project aims to develop clinical performance dashboards and create predictive models for care trajectories and individual outcomes, thereby enabling evidence-based clinical decision-making. The interRAi consortium developed well-established psychometric tools containing 50 decision-making algorithms to optimize care planning. The interRAI tools allow for systematic and uniform collection of high-quality clinical data, thus facilitating their comparison and analysis. The anticipated outcomes of the project extend beyond the patients themselves, benefiting the mental health ecosystem at the provincial, national, and even international levels.