Leis, Angela and Mortier, Philippe and Amigo, Franco and Bhargav, Madhav and Conde, Susana and Ferrer, Montserrat and Flygare, Oskar and Kizilaslan, Busenur and Latorre Moreno, Laura and Mayer, Miguel-Angel and Pérez Sola, Víctor and Portillo van Diest, Ana and Ramírez-Anguita, Juan Manuel and Sanz, Ferran and Vilagut, Gemma and Alonso, Jordi and Mehlum, Lars and Arensman, Ella and Bjureberg, Johan and Pastor, Manuel and Qin, Ping (2025) Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: the PERMANENS project. Studies in Health Technology and Informatics, 327, pp. 221-222. doi: 10.3233/SHTI250308.
The PERMANENS European project addresses the global public health challenge of self-harm and suicide by developing a machine learning-based Clinical Decision Support System (CDSS) to assist emergency departments (EDs) in providing personalized care. With over 700,000 suicides annually, suicide prevention is critical, especially in Europe where consistent surveillance is lacking. The project harmonizes national suicide attempt registries from regions in Spain, Ireland, Norway, and Sweden using the OMOP Common Data Model (CDM) to create a comprehensive database for real-time analysis.
J Health care, prevention, harm reduction and treatment > Patient / client care management
J Health care, prevention, harm reduction and treatment > Type of care > Emergency care
N Communication, information and education > Digital technology
VA Geographic area > Europe
VA Geographic area > Europe > Ireland
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