Panel Discussion 27 - Process-based Therapy and Research: Progress in Personalization

A process-based approach to evidence-based intervention science and practice marks a paradigm shift away from rigid diagnostic categories and manualized protocols and toward longitudinal assessment of the biopsychosocial processes related to the client’s goals and the deployment of treatment kernels tailored to modify those processes for particular people. This panel will explore the implications of this trend and whether it is leading to progress in treatment personalization. The discussion will link the trend toward more unified process-based approaches to such topics as the integration of technology into clinical practice (e.g., AI and machine learning, digital tools) to enhance treatment precision, cultural adaptations for equitable care, and the scalability of process-based intervention in the context of public health. Idionomic statistical analysis will be addressed along with such issues as how to assess biopsychosocial processes of change, what is meant by assessment quality in process-based approaches, and how process-based approaches alter training. By building a bridge between cutting-edge science and practical application, this session will consider, whether process-based approaches are advance personalized mental and behavioral health care, and offering new pathways to address pressing challenges like treatment resistance, dropout rates, and systemic barriers. Attendees will gain insights into how this model seems to be fostering greater more involvement of practitioners in research, and paving the way for a more flexible, impactful future for the behavioral and cognitive therapies.