Artificial intelligence is changing how behavioral health organizations turn data into decisions, but only where it is applied well. Cody Thomas, a longtime chief information officer, cuts through the hype to what AI can do for your analytics now, from predictive modeling to routine reporting, and where it still falls short. You leave with a clearer sense of which AI investments in analytics are worth making this year and which to wait on.
The session will explore the future of AI in behavioral health analytics, highlighting practical applications that drive better clinical outcomes, operational efficiency and financial performance.
Key takeaways include:
- Understand AI applications in behavioral health analytics to identify practical ways AI can enhance data analysis, from predictive modeling to operational and clinical decision support
- Evaluate opportunities and challenges to recognize the benefits, limitations, and ethical/regulatory considerations of implementing AI tools
- Create strategies to leverage AI-driven analytics for informed decision-making and improved outcomes