AI Can Expand Access to Care. But Where's the Evidence?

Few challenges in healthcare are discussed more often than access. Across the U.S., demand for mental health support continues to outpace the available workforce, leaving many individuals waiting weeks for appointments or unable to access care altogether. As organizations, clinicians, and communities search for new ways to close this gap, digital technologies and artificial intelligence are increasingly being explored as tools to expand access, improve efficiency, and support clinicians in meeting growing demand. 

This was a topic explored by Dr. Vaile Wright, Senior Director of the Office of Health Care Innovation at the American Psychological Association, during her CES conversation, Unlocking the Power of AI to Transform Mental Health Care.  The discussion examined how AI and digital technologies may help expand access to support while highlighting the importance of psychological science in ensuring these solutions are ethical, evidence-based, and effective. 

As AI becomes a larger part of the behavioral health landscape, another conversation is gaining momentum: how organizations evaluate whether these technologies are supported by the evidence needed to responsibly integrate them into care. 

Watch the full Q&A located under the CES session to learn more about the opportunities and challenges shaping the future of mental health innovation. 

Expanding Access Responsibly 
  

The future of digital mental and behavioral health won’t be defined by access alone.  
It will be shaped by whether technologies can demonstrate that they are effective, trustworthy, and appropriate for the populations they are designed to serve and supported by credible evidence. 

• For founders, that means thinking beyond innovation and considering how evidence, evaluation, and trust are built into the product development lifecycle. 
   
• For clinicians, it means helping shape how emerging technologies are developed, evaluated, and implemented. 
   
• For health systems and employers, it means understanding what questions should be asked before adoption decisions are made. 
   

As expectations around transparency, accountability, and responsible innovation continue to grow, evidence is increasingly becoming a differentiator rather than a nice-to-have. 

Why Psychological Science Matters 
  

Digital mental and behavioral health is different from many other technology categories because
products are built specifically to influence emotional experiences, behavioral choices, mental health support, and personal well-being. 

That means organizations need confidence that these technologies are not only engaging and accessible but also grounded in sound psychological science. Evidence gives clinicians, healthcare systems, payers, employers, and patients greater confidence that a technology has been thoughtfully designed, evaluated, and informed by established psychological principles. 

It also helps organizations understand where technology performs well, where limitations exist, and how it should be implemented responsibly. As innovation continues to accelerate, psychologists and researchers emphasize the importance of rigorous evaluation, stronger evidence standards, and thoughtful oversight to help ensure these technologies are ready for broader adoption. 

Innovation Without Evidence Creates Risk 

As innovation accelerates, the conversation is shifting to how organizations should evaluate the technologies entering healthcare settings. The digital mental health market is growing rapidly with new platforms, chatbots, coaching tools, and AI-powered experiences entering the market every year. These questions reflect a broader shift across the industry on evidence, transparency, and responsible implementation: 

• What evidence supports this technology? 
• How has it been evaluated? 
• Is it appropriate for the people it serves? 
• What safeguards are in place?  
• How should results be interpreted? 
• What role should human oversight play? 
   

Separating Promise from Proof 



As organizations evaluate digital mental health technologies, the conversation is increasingly shifting to how organizations can identify technologies that deserve trust. 

The APA Labs Digital Badge Program was created to help support those conversations by providing an independent evaluation process designed to help organizations better understand the evidence, safeguards, and considerations reflected within digital mental health technologies. 

For organizations exploring the future of digital mental health, the challenge is no longer simply identifying innovative technologies. It is understanding which technologies have taken meaningful steps to demonstrate trustworthiness, transparency, and a commitment to responsible innovation.