Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project

Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project

Abstract Background Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty in risk assessment may contribute to ineffective care. Clinical Decision Support Systems (CDSSs) show promise in...

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Bibliographic Details
Main Authors: Philippe Mortier, Franco Amigo, Madhav Bhargav, Susana Conde, Montse Ferrer, Oskar Flygare, Busenur Kizilaslan, Laura Latorre Moreno, Angela Leis, Miguel Angel Mayer, Víctor Pérez-Sola, Ana Portillo-Van Diest, Juan Manuel Ramírez-Anguita, Ferran Sanz, Gemma Vilagut, Jordi Alonso, Lars Mehlum, Ella Arensman, Johan Bjureberg, Manuel Pastor, Ping Qin
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Psychiatry
Subjects:
Suicide
Intentional self-harm
Hospital Emergency Service
Clinical decision support system
Machine learning
Risk Assessment
Online Access:https://doi.org/10.1186/s12888-024-05659-6

Internet

https://doi.org/10.1186/s12888-024-05659-6

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