February Session: The NAM AI Code of Conduct and the Future of Patient Safety Leadership-The NAM AI Code of Conduct and the Future of Patient Safety Leadership

Video Transcription

Video Summary

The CMSS AIML Task Force webinar featured Laura Adams from the National Academy of Medicine (NAM), discussing two key initiatives on AI in healthcare: the AI Code of Conduct and the upcoming Patient Safety in the Era of AI National Initiative. NAM’s AI Code of Conduct, co-developed with diverse stakeholders including patient advocates, establishes six foundational commitments emphasizing human health, fairness, transparency, agency, workforce well-being, and collaborative learning to guide AI use in healthcare. It addresses gaps in existing frameworks—like human centricity and collaboration—and serves as a practical compass from boardroom to bedside.<br /><br />The Patient Safety initiative, launching in March 2026, aims to create a national, scalable strategy for AI-enabled patient safety, focusing on systemic improvements rather than isolated fixes. Drawing from past lessons like electronic health record adoption, the strategy seeks to reduce harm using AI to detect errors in real-time, with emphasis on equitable access and patient partnership. Given AI’s rapid evolution, the initiative prioritizes adaptability, continuous assessment, and broad stakeholder engagement. Specialty societies are encouraged to align existing guidelines with NAM’s Code to promote safe, equitable AI integration. The discussion highlighted challenges like equity for rural and older populations, AI-induced harm detection, and the importance of clinician involvement to avoid past pitfalls. The session underscored AI’s transformative potential balanced with careful governance to enhance patient safety and workforce capacity.

Keywords

AI Code of Conduct

Patient Safety Initiative

National Academy of Medicine

AI in Healthcare

Human Centricity

Equitable Access

Collaborative Learning

Workforce Well-being

AI Governance