Digitizing and Automating the Diagnostic Psychiatric Assessment Process

This study, part of the DADAP project, aims to transform the diagnostic evaluation process in the clinical care pathway of child and adolescent psychiatry (CAP) by digitizing and automating it through an innovative solution based on explainable artificial intelligence that optimizes the delivery of health services and care in a wide range of different settings. This study is a real-world, prospective, multicenter, single-arm observational study that has gathered an international consortium formed by Sweden, Norway, Spain, and Romania. Each participating country is responsible for a specific work package.

Our research team is in charge of WP1, which involves the Spanish translation, validation, and cross-cultural adaptation of the Electronic Semi-Structured Psychiatric Interview for Children and Adolescents (EPSI-C). The semi-structured interview EPSI-C was developed in collaboration between the Child and Adolescent Psychiatric Clinic and the Centre for Clinical Research in Region Västmanland, Sweden. It is based on the DSM-5 diagnostic classification, and it will be used to diagnose young people aged 6 to 17.

The Spanish team is also responsible for WP4, which involves validating the feasibility of the EPSI-C tool both across and within countries through a pilot study, integrating new technologies and artificial intelligence to improve diagnostic processes.

Inclusion criteria

• Families and children aged 6 to 17 with a mental health referral from primary care.

Exclusion criteria

• Minors under state care without stable attachment figures to report clinical history.
• Presence of global developmental disorder or moderate to severe intellectual disability.
• Incomplete, inaccurate, or unclear medical data.