Responsible Use of AI in Healthcare
What the Joint Commission's voluntary RUAIH certification is, what it asks of your organization, why no tool can make you "RUAIH certified," and how to evidence your readiness.
RUAIH — Responsible Use of AI in Healthcare — is a voluntary certification from The Joint Commission, developed with the Coalition for Health AI (CHAI). The two organizations first issued responsible-AI guidance on September 17, 2025, and The Joint Commission released the voluntary RUAIH certification on June 1, 2026.
It recognizes healthcare organizations that can show responsible use of AI across their operations. The certification standards are organized around five areas:
This is the part most people miss: RUAIH certifies the organization's use and governance of AI — not individual AI products or tools. It recognizes that your health system can evidence responsible use across all five certification areas — from governance and data management through to monitoring and transparency.
It is also voluntary, and organizations do not need to be Joint Commission–accredited to apply.
No — and be wary of anyone who says otherwise.
Because the certification applies to your organization's governance program, no vendor, platform, or tool can grant, guarantee, or "be" RUAIH certified. Any product marketed as "RUAIH-certified software" or a guarantee of certification is misrepresenting how the program works. What software can do is help you evidence and monitor responsible AI use — the documentation and oversight you bring to certification. The certification itself is earned by the organization.
Preparing for RUAIH is about being able to show, not just assert, responsible AI use. Four areas anchor the work:
Clear oversight structures and accountability for how AI is adopted and used across the organization.
Controls that keep AI use safe, fair, and aligned with clinical and regulatory standards.
Ongoing visibility into how AI is actually used at the point of care — not a one-time audit.
Staff understand the AI touching their workflows and their role in using it responsibly.
Where IntraClin Fits
Monitoring how AI is actually used at the bedside is a measurement problem — and measurement is what we do. IntraClin builds Clinical Workflow Intelligence (CWI): structured capture of how clinical work is actually performed, repeated over time. JAiZZ captures where AI-powered tools touch real clinical workflows, flags them for review, and rolls findings up to the organization level, so leadership has an evidence layer to point to: not a policy that says AI should be governed, but a record of how it actually is.
It is clinical AI monitoring built for the floor — privacy by design, with no PHI and no PII. JAiZZ supports your responsible-AI governance and helps you evidence readiness; it does not certify you or guarantee certification.
It recognizes healthcare organizations that can evidence responsible use of AI across the five areas the certification standards are organized around: governance; effective data management; risk and bias reduction; monitoring, evaluating, and validating safety, performance, and responsible use; and transparency, education, and training. Importantly, it certifies the organization's use and governance of AI — not individual AI products or tools.
No. The certification applies to a healthcare organization's governance program, not to any product. No vendor, platform, or tool can grant, guarantee, or 'be' RUAIH certified. Software can help you evidence and monitor responsible AI use, but the certification is earned by the organization itself.
JAiZZ captures where AI-powered tools touch real clinical workflows at the bedside, flags them for review, and rolls findings up to the organization level — giving leadership a monitoring and evidence layer that supports responsible-AI governance. It does not certify you or guarantee certification. IntraClin is not affiliated with, endorsed by, or accredited by The Joint Commission. RUAIH readiness spans all five certification areas. IntraClin produces the workflow evidence — how AI tools are actually used at the point of care, and whether that matches how they were approved to be used. Cybersecurity controls, model validation, data governance, and bias assessment sit outside the platform and require their own monitoring. A RUAIH Readiness Report is an input to your organization's governance program and submission, not a substitute for either.