National Academy of Medicine’s AI code: 7 steps for behavioral health leaders

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The National Academy of Medicine released a framework in May 2025 to guide the development and use of trustworthy, human-centered AI across healthcare, specifically telehealth and behavioral health settings.

“An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action” outlines 10 principles — engaged, safe, effective, equitable, efficient, accessible, transparent, accountable, secure and adaptive — and broader commitments to advancing humanity and ensuring equity, according to a Feb. 24 report. While not regulatory, the framework is intended to align stakeholders, such as developers, health systems, regulators and clinicians, around expectations for responsible AI use. 

The release comes as AI tools — such as risk-screening algorithms, clinical documentation aids, conversational agents, and scheduling and triage systems — become more common in telehealth and behavioral health settings.

Here are the seven suggestions for behavioral health leaders to consider from the organization: 

  1. Identify whether and where AI is being used in screening, documentation, scheduling or patient communication. 
  1. Revise consent forms to describe AI use and clinician oversight. 
  1. Ask vendors for documentation on clinical validation, bias testing and monitoring processes before integrating AI into care. 
  1. Clinicians should monitor outcomes and patient satisfaction to identify disparities or unintended effects associated with AI tools. 
  1. Support ongoing education related to AI ethics, governance and regulation. 
  1. Account for equity and access through implementation strategies when deploying AI-enabled tools, particularly in telehealth and behavioral health settings. 
  1. AI should support — not replace — clinical judgement, and strong human oversight is necessary, particularly in sensitive areas such as substance use treatment. 

Read the full report here

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