Name
N09 - Relationally-Centered Integrated Behavioral Health: Machine Learning Evidence and Outcomes
Date & Time
Saturday, October 18, 2025, 1:30 PM - 2:30 PM
Location Name
305A
Description

This session will outline the Relationally-Centered Integrated Behavioral Health Model, a systemically-focused model used in eastern North Carolina for almost 20 years. Using EHR data from several FQHCs, this session will demonstrate how innovative machine learning algorithms were utilized to explore the prominent features impacting psychological and biological patient outcomes with this model of care. This research highlights how clinicians use their relational and integrated care training to collaborate with data analysts and evaluate the impact of their integrated care model.

Speakers
Rylan Hellstern PhD, LMFT, MedFT Predoctoral Fellow, Individual - Rylan Hellstern,
Angela Lamson PhD, LMFT, Professor, East Carolina University, Greenville, North Carolina
Jennifer Hodgson, Principal Consultant, Individual - Jennifer Hodgson, Greenville, NC
Angela Lamson
Co-Authors
Jake Jensen, PhD, LMFT, East Carolina Universtiy;
Ray Hylock, PhD, East Carolina University;
Matthew Martin, PhD, LMFT, Arizona State University
Content Level
All Audience
Tags
Outcomes, Population and public health, Research and evaluation
Session Type
Concurrent
SIG or Committee
Families and Health (F&H)
Objective 1
Identify unique characteristics of Relationally-Centered Integrated Behavioral Health
Objective 2
Recognize physical and psychological outcomes associated with models of integrated behavioral health care
Objective 3
Discuss how machine learning and access to EHR data can enhance clinical, operational, and financial outcomes.
Content Reference 1

Hellstern, R. B., Lamson, A. L., Jensen, J. F., Martin, M. P., & Hylock, R. H. (2025). Physical and mental health outcomes of integrated care: Systematic review of study. Families, systems & health: The journal of collaborative family healthcare, 10.1037/fsh0000960. Advance online publication. https://doi.org/10.1037/fsh0000960

Content Reference 2

Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Rab, S. (2022). Significance of machine learning in healthcare: Features, pillars and applications. International Journal of Intelligent Networks, 3, 58-73.

Content Reference 3

Lamson, A. L., Hodgson, J. L., Limon, F., & Feng, C. (2022). Medical family therapy in rural community health: A longitudinal “Peek” into integrated care successes. Contemporary Family Therapy, 44(1), 29-43.