Coalition for Health AI Unveils Governance Playbooks for Responsible AI Adoption
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The framework outlines eight core areas of focus: organizational AI policy, organizational structure, organizational resources, responsible AI lifecycle management, risk and impact assessments, responsible data management and use, third-party management, and education, training, and feedback.
The Coalition for Health AI (CHAI) on Wednesday released a set of governance playbooks to help healthcare organizations implement artificial intelligence safely, transparently, and consistently as adoption of the technology accelerates across the sector.
The playbooks provide structured guidance and baseline governance controls across key operational areas, while emphasizing that implementation should be adapted to the specific context of each organization. CHAI said the materials are intended to support integration into existing healthcare workflows rather than replace them.
The framework outlines eight core areas of focus: organizational AI policy, organizational structure, organizational resources, responsible AI lifecycle management, risk and impact assessments, responsible data management and use, third-party management, and education, training, and feedback.
According to CHAI, each playbook includes implementation guidance, tools, resources, and practical examples to support healthcare systems in embedding responsible AI practices into day-to-day operations. The resources were developed through collaboration with more than 100 healthcare organizations, supported by workshops and iterative feedback cycles.
CHAI CEO Brian Anderson said the organization has seen growing demand for “practical, consistent, and comprehensive” guidance on AI deployment in healthcare settings. He noted that the collaborative process behind the playbooks was designed to make responsible AI frameworks more usable across organizations with varying levels of resources and technical maturity.
“These efforts don't just help to define responsible AI, they intend to make it usable for healthcare delivery organizations across the country—regardless of resource level and all to translate AI innovation into high-quality care for every patient,” Anderson said.
The governance playbooks build on earlier efforts by CHAI, including a joint document released with the Joint Commission outlining principles for responsible AI use in healthcare. That initiative followed a broader partnership between the two organizations announced earlier.
The Joint Commission is also expected to introduce a voluntary AI certification program, with the CHAI playbooks positioned as a supporting framework for organizations seeking certification.
Mercy Health Responsible AI Program Director Taylor Rhodes said the guidance addresses a key challenge in healthcare AI adoption—translating intent into structured and measurable practice. He added that the framework provides a common language for governance while still allowing organizations to tailor oversight based on their operational needs and risk tolerance.
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