Psychol Rep. 2025 Dec 20:332941251409157. doi: 10.1177/00332941251409157. Online ahead of print.
ABSTRACT
The current progressive adoption of online platforms and web-based interventions, within the context of Cognitive Behavioral Therapy (CBT) services, offers a novel opportunity to scale evidence-based psychotherapy. In the present work, we depict the development of a web and native application within the Italian landscape, GRETA (Graphic Robotic Engine for Therapy Automation). GRETA provides the following functions: (a) Management of therapy appointments and payments; (b) Clinical data, therapy progress, and sessions summary between professionals; (c) Production of the medical report and notes for external institutions; (d) Homework, materials, psychometric measures, progress reports, and therapy notes; (e) Systematic monitoring of the therapeutic process and outcomes; (f) Ensuring confidentiality, security, and integrity of patient information; (g) Collection, aggregation, and analysis of anonymized patient data through statistical reports and graphical dashboards. Beyond the technological implementation, this study also assesses the effectiveness of therapy delivered through GRETA. Pre-post treatment comparisons were conducted on a sample of 442 patients discharged for any reason by the CBT service, categorized into three diagnostic groups: anxiety disorder, depressive disorder, and comorbid anxiety and depressive disorder. Results revealed significant improvements in symptom severity and functional adjustment across all groups. Future developments of GRETA will involve integrating Artificial Intelligence-based features, such as predictions of clinical outcomes.
PMID:41420419 | DOI:10.1177/00332941251409157
