Suicide is a major, yet preventable, public health issue, representing an annual loss of 34.6 million years of life worldwide. Clinical management of patients with suicide risk is a challenging task, in part because suicide represents highly complex difficult-to-predict behaviour. The PERMANENS project will develop a prototype of a Clinical Decision Support System (CDSS), i.e., a medical software programme that assists clinicians in the personalised management of suicide risk. Using machine learning-based algorithms, the CDSS will enable accurate suicide risk prediction and the subsequent personalised allocation of evidence-based treatment. Data for the project will be obtained from population-representative electronic registries from Ireland, Norway, Sweden, and Catalonia (Spain). To maximize its clinical usefulness, the CDSS prototype will be co-created with both patients and clinicians through user-oriented qualitative implementation research.
