Name
ELO8 - AI tools and skills for the next level of Integration: The future is yesterday
Date & Time
Thursday, October 8, 2026, 9:00 AM - 12:00 PM
Location Name
Regency F (2nd Floor)
Description

AI developments in healthcare proceed on an almost weekly if not daily pace. Much of these developments focus on specialty care and not primary care. Behavioral Health Integration is generally not even discussed. If integration is to succeed it must be part of workflow. Workflow in the future goes through AI. This preconference is designed for bh folks just beginning the AI journey, as well as folks who are further along.

Speakers
Rodger Kessler, Ph.D.ABPP
Jennifer Yturriondobeitia, MSW DBH
Content Level
All Audience
Tags
Artificial Intelligence in Integrated Behavioral Healthcare, Care management, Complex Patient Care, Team-based care
Session Type
ELO
Objective 1
Participants will identify key issues in IT development in healthcare
Objective 2
Participants will become familiar with the care algorithm of data collection through care management
Objective 3
Participants will review key elements of 2 novel primary care focused, generalizable applications and implementation
Content Reference 1

Meadi, M., Sillekens, T., Metselaar, S., Van Balkom, A., Bernstein, J., & Batelaan, N. (2025). Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review. JMIR Mental Health, 12. https://doi.org/10.2196/60432.

Content Reference 2

Olawade, D., Wada, O., Odetayo, A., David-Olawade, A., Asaolu, F., & Eberhardt, J. (2024). Enhancing Mental Health with Artificial Intelligence: Current Trends and Future Prospects. Journal of Medicine, Surgery, and Public Health. https://doi.org/10.1016/j.glmedi.2024.100099.

Content Reference 3

Higgins, O., & Wilson, R. (2025). Integrating Artificial Intelligence (AI) With Workforce Solutions for Sustainable Care: A Follow Up to Artificial Intelligence and Machine Learning (ML) Based Decision Support Systems in Mental Health. International Journal of Mental Health Nursing, 34. https://doi.org/10.1111/inm.70019.