Coalition for Health AI unveils governance playbooks for responsible AI adoption

artificial intelligence and healthcare concept
CHAI’s playbooks were developed by a collaboration of more than 100 healthcare organizations through workshops and multiple calls for feedback. (Artyom Kozhemyakin/GettyImages)

The Coalition for Health AI (CHAI) released Wednesday a series of in-depth playbooks designed to provide health systems with practical guidance and baseline governance controls for implementing artificial intelligence safely, transparently, and consistently amid its rapid adoption.

The playbooks touch on specific controls for responsible AI use across healthcare organizations, though the non-profit notes each is intended to “be interpreted within the specific context” of individual organizations. 

Each playbook includes suggested implementation guidance, tools, resources and examples for healthcare organizations to integrate into existing processes, according to CHAI. 

The eight areas covered by the framework are:

  • Organizational AI policy
  • Organizational structure
  • Organizational resources
  • Responsible AI lifecycle management
  • Risk and impact assessments
  • Responsible data management and use
  • Third-party management
  • Education, training and feedback

CHAI’s playbooks were developed by a collaboration of more than 100 healthcare organizations through workshops and multiple calls for feedback. 

The playbooks can be accessed on CHAI’s website.

CHAI CEO Brian Anderson, M.D., said in a statement that the organization has been hearing increased need for “practical, consistent, and comprehensive” guidance regarding AI deployment.

“Our working groups set out to tackle this challenge, and I'm encouraged by how much collaboration from across the industry occurred to deliver today's playbooks,” Anderson said. “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 with the goal of translating AI innovation into high-quality care for every patient.”

The governance playbooks follow an earlier document published last fall.

In September, CHAI partnered with the Joint Commission on the Responsible Use of AI in Healthcare (RUAIH) guidance document, outlining key principles of organizational management for the use of AI in health systems. It followed the June announcement of a partnership between the two organizations. 

The Joint Commission plans to offer a voluntary AI certification program this year, and the CHAI playbooks provide the framework to achieve certification.

Mercy Health Responsible AI Program Director Taylor Rhodes said in a statement that the resources structure “one of the most important challenges” facing healthcare AI today, which Rhodes says is “turning good intent into governed, measurable, and sustained practice.”

“They give health systems a common operating language for responsible AI while still allowing each organization to adapt governance to its own mission, workflows, maturity, and risk tolerance,” Rhodes said. “This work reflects where healthcare AI governance must go next—not just setting expectations, but building the repeatable evidence, ownership and oversight needed to adopt AI safely, transparently, and with trust.”