Evidence Meets Innovation: The Crucial Role of Clinical Research in AI Development for Behavioral Health

There’s a troubling trend in behavioral health tech: the race to innovate often outpaces the evidence backing the tools being placed in provider hands—tools that ultimately impact client care.

That’s why any healthcare tech solution—especially emerging AI tools—should be firmly anchored in thorough and rigorous scientific study.

During this 1-hour webinar event moderated by Dennis Morrison, PhD, National Council Medical Director, Joe Parks, MD, teamed up with Eleos Health Chief Clinical Officer, Shiri Sadeh-Sharvit, PhD, and Ashley Newton, CEO with Centerstone Research Institute to present the key scientific standards emerging technology vendors should uphold, including a demonstrated and unwavering commitment to:

• Evidence-Backed Value Statements: A platform’s “proof points” must be underpinned by solid data and research—not merely good marketing.
• Publication of Peer-Reviewed Research: The best healthcare tech companies commit to publishing their findings in esteemed, peer-reviewed scientific journals.
• Clinician and Expert Involvement: Behavioral health providers and experts must be deeply involved in research and product development efforts for behavioral health technologies.
• Continuous Improvement: Like science, technology products should never be static—they must evolve through cross-pollination and continual updates.

Viewers will:

• Identify the difference between value statements that are rooted in scientific evidence—and those that are not.
• Discover best practices for integrating scientific research and clinical study throughout the product lifecycle.
• Explore specific examples of Eleos Health’s research studies and findings—and how they fuel product development and enhancement efforts.