On-demand webinar

RUAIH Certification Explained: Standards, Eligibility, and What Happens on Review Day

RUAIH certification is Joint Commission's voluntary program for U.S. healthcare organizations that can show the governance, safeguards, monitoring, transparency, and staff education behind their AI use. In this on-demand webinar, Joint Commission's Andrea Leigh Yates explains the standards, who can apply, and how the one-day review works.

Vitea hosted the session, moderated by Chief Medical Officer Murali Naidu, MD. It closes with live questions from health system leaders on shadow AI, vendor-embedded AI, monitoring, and agentic AI.

Partnering to confidently advance healthcare AI innovation.

What is RUAIH certification?

RUAIH stands for Responsible Use of AI in Healthcare. Joint Commission launched the certification in June 2026 to recognize organizations that use AI safely, reliably, transparently, and ethically. It certifies the organization, not individual AI products. The standards build on guidance Joint Commission developed with the Coalition for Health AI (CHAI).

The RUAIH standards fall into five areas:

Governance
Effective data management
Risk and bias reduction
Monitoring, evaluating, and validating safety, performance, effectiveness, and responsible use
Transparency, education, and training

What does the RUAIH webinar cover?

The session moves from why responsible AI in healthcare needs a formal framework to what reviewers actually examine. You'll learn:

01
How the five standard areas break down into nine chapters
02
Eligibility for single sites versus health systems, and how certification scope is set
03
What documentation organizations submit before the review
04
How the review day runs, including real examples of end-user AI demonstrations
05
What tracer sessions cover: data privacy and security, risk and bias, legal agreements, the AI inventory, safety-event reporting, and patient communication
06
How staff education should differ by role

What did attendees ask about RUAIH certification?

The live Q&A covered the questions governance committees raise most often. Watch to hear how Andrea answered each one:

How long does it take to go from application to the review?
How should organizations handle AI tools staff bring in on their own?
What about AI that vendors embed in tools you've already approved, including the EHR?
Should AI monitoring be continuous or periodic?
Does agentic AI change the approach?
Who should watch?
This session is built for CIOs, CISOs, CMIOs, chief medical and nursing officers, and the quality, compliance, and risk leaders who own AI governance. It's useful whether your organization is applying now, still exploring, or undecided.
Speakers
Andrea Leigh Yates, MBA, RN, CCRN
White lowercase 'in' letters on a blue circle representing the LinkedIn logo.
Field Director, Disease Specific Care and Health Care Staffing Accreditation and Certification Operations
An implementation scientist with deep experience in heart and vascular clinical care, program development, and administration.
Murali Naidu, MD
White lowercase 'in' letters on a blue circle representing the LinkedIn logo.
Chief Medical Officer, Vitea (moderator)
A former general surgeon and hospital CEO who now leads Vitea's clinical approach to safe AI adoption.

Joint Commission's participation in this presentation, as sponsored by Vitea, is on a non-exclusive basis. This is not an endorsement of the sponsor's products, nor a statement that its expertise or services are superior to those of other comparable companies. Joint Commission, as a matter of policy, does not endorse products or companies.

From the host: why RUAIH starts with AI visibility

Most RUAIH requirements assume you know every AI tool in use across your organization. That is the hard part. AI now enters health systems in ways governance committees rarely see:

A personal AI account that looks identical to your enterprise tenant on the network
A vendor that quietly adds AI features to a tool you approved years ago
An AI scribe that inserts a detail the clinician never said
Each one tests your inventory, monitoring, and incident reporting before a reviewer ever does.

RUAIH certification FAQ

What does RUAIH stand for?

RUAIH stands for Responsible Use of AI in Healthcare. It is a voluntary Joint Commission certification, launched in June 2026, for U.S. healthcare organizations that use AI.

Does RUAIH certification approve specific AI products?

No. RUAIH certifies how an organization governs and uses AI. Joint Commission does not validate or certify individual AI tools, and it does not endorse vendors.

Do you need Joint Commission accreditation to apply for RUAIH?

No. Joint Commission has said organizations do not need its accreditation to apply. The webinar walks through the full eligibility requirements for single sites and health systems.

What are the five RUAIH standard areas?

Governance; effective data management; risk and bias reduction; monitoring, evaluating, and validating safety and performance; and transparency, education, and training.

How is RUAIH related to CHAI?

The certification builds on responsible AI guidance Joint Commission published with the Coalition for Health AI in September 2025. CHAI's governance playbooks offer implementation guidance aligned with the standards.

How do I apply for RUAIH certification?

Joint Commission handles applications directly. Start at Joint Commission's RUAIH certification page.

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