This workshop will present lessons from the development and implementation of a digital behavioral health platform designed to bridge Gen Z engagement, measurement-based care, and integrated care workflows. Participants will examine how patient-generated digital data can be translated into clinically meaningful insights to support treatment planning, supervision, and care coordination. Presenters will also demonstrate how AI-driven simulated patient encounters can support clinician training and workforce development within integrated behavioral health settings. Interactive discussion and case examples will allow participants to explore strategies for integrating digital tools into outpatient and training environments.
Gericke, F., Voorspoels, W., Peeters, E., Demyttenaere, K., Sabbe, M., Bantjes, J., & Bruffaerts, R. (2025). Personalised machine-learning decision support for suicidal thoughts and behaviours in the psychiatric emergency department. Psychiatry Research, 116698.
Higgins, O., Short, B. L., Chalup, S. K., & Wilson, R. L. (2023). Arti cial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review. International Journal of Mental Health Nursing, 32(4), 966978. https://doi.org/10.1111/inm.13114
Kulkarni, S. Expert Systems in Behavioral and Mental Healthcare: Applications of AI in Decision-Making and Consultancy. 147-186. https://doi.org/10.1002/9781119792376.ch6
Zhong, E. H., Spector, N., O'Hara, C., Livanos, N., & Castillo III, J. D. (2025). Advancing nursing regulation in the digital era: Harnessing AI to bridge workforce gaps and strengthen practice competency and safety. Journal of Nursing Regulation, 16(3), 150-164.