AI is creating new opportunities to expand access, personalize treatment, support clinicians, and improve mental health outcomes. Yet translating innovation into meaningful impact requires clinical validation, responsible implementation, and sustainable business models. This session explores emerging AI applications across mental healthcare, from early intervention and clinical decision support to personalized care and measurement-based outcomes.

Behavioral health organizations are being asked to expand access while simultaneously improving safety, workforce stability, quality, and operational performance. This session shares the real-world experience of Boston Medical Center's Brockton Behavioral Health Center, where executive and nursing leadership have partnered to strengthen clinical operations, standardize practices, improve accountability, and translate quality data into frontline action, including work that contributed to a 17% reduction in restraint events per 1,000 patient days.

Drawing on the Weitzman Institute's work with 1200+ Federally Qualified Health Centers, rural health clinics, and other primary care health systems, this session shares how safety-net organizations embed measurement-based care, trauma-informed practice, and closed-loop community referral into routine primary care for children, youth, and families, and what it takes to make those models measurable, equitable, and financially sustainable.