Transforming psychological practice with precision mental health: introduction to the NOVA project
Pablo Roca, Sara Noheda, Eduar Ramírez-Riveros, Carolina Martín-Azañedo, Fermín Martínez-Zaragoza, Rosaria Maria Zangri, Eduardo P. García del Valle, Martin Sanchez-Pedreño, Montserrat León-Garcia, Derek Loy Gravholt, Angel Enrique, Rob Saunders, Luis Javier Herrera

TL;DR
The NOVA project aims to improve mental health care by integrating AI-driven precision methods into routine psychological practice.
Contribution
The NOVA project introduces a translational program to implement precision mental health using AI in real-world psychological services.
Findings
Precision Mental Health (PMH) can enhance evidence-based practice through predictive analytics and data-informed decisions.
The NOVA project outlines a pathway for integrating AI into routine psychotherapy, focusing on clinician acceptability and robust predictive models.
Abstract
Evidence-Based Practice (EBP) has increased the availability of psychological treatments, yet many people do not benefit from therapy, some report deteriorations in symptoms, and dropout rates remain high. Precision Mental Health (PMH) is proposed as an extension of EBP by combining systematic measurement with predictive analytics to support the right intervention, at the right time, for the right person. Recent advances in Artificial Intelligence (AI) make PMH increasingly feasible in routine psychotherapy; however, the implementation of these approaches in routine care is still incipient. In this context, the present article has two main aims. First, we summarize key advances in PMH, particularly measurement-based care and data-informed decision making. Second, we introduce the NOVA project (Navigating Outcomes via Analytics), a multi-phase translational program designed to implement…
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Taxonomy
TopicsDigital Mental Health Interventions · Mental Health Research Topics · Mental Health via Writing
