TL;DR: The Joint Commission’s new Responsible Use of AI in Healthcare certification signals where healthcare AI expectations are headed. As AI becomes part of everyday clinical and operational work, health systems will need clear leadership, strong governance, and the organizational discipline to use it safely, transparently, and responsibly. For healthcare leaders, the opportunity to start building that discipline is now. 

AI readiness now means governance readiness. 

What began for many organizations as isolated pilots and experiments is increasingly finding its way into clinical, administrative, operational and care-support workflows. And as adoption accelerates, the conversation is naturally shifting from “What can we do with AI?” to include “How do we make sure we’re doing it responsibly?” 

We now have another sign this shift is underway. 

In June 2026, The Joint Commission launched its voluntary Responsible Use of AI in Healthcare (RUAIH) Certification, designed to recognize U.S. healthcare organizations that have established the governance, safeguards, monitoring processes and education necessary to use AI responsibly. Importantly, the certification evaluates an organization’s wholistic approach to AI, not individual AI products or tools. 

This is an important development for healthcare leaders, including those who have no intention of pursuing the certification anytime soon. 

Certification May Not Be the Immediate Goal 

Healthcare providers are accustomed to accreditation and certification. They also know that organizations don’t pursue every voluntary certification available to them. 

AI certification will likely be no different, at least initially. 

Some organizations are simply much further along in their AI journey than others. An organization experimenting with a handful of AI applications will have very different governance capabilities than a health system deploying AI across clinical, financial, workforce and operational functions. 

But what makes this certification particularly interesting is the speed with which AI is becoming embedded throughout healthcare. 

The Joint Commission’s framework essentially asks organizations to demonstrate that their governance has matured alongside their technology. 

That should become an increasingly important expectation — whether it comes from accreditors, regulators, boards, patients, insurers or healthcare organizations themselves. 

Five Areas Every Healthcare Leader Should Be Watching 

The Joint Commission organizes its certification standards around five major areas: 

1. Governance 

Organizations need a formal structure for overseeing AI, including organization-wide policies defining how AI tools are evaluated, approved, used and reviewed. 

2. Effective data management 

Responsible AI requires responsible data practices. Organizations must have processes protecting patient information, promoting data security and appropriately managing the data underlying AI systems. 

3. Risk and bias reduction 

Healthcare organizations need processes for identifying and mitigating potential risks and biases associated with AI tools — an especially important consideration when those tools can influence clinical or operational decisions. 

4. Monitoring, evaluation, and validation 

Approval can’t be the end of the process. Organizations need mechanisms to continually monitor AI tools for safety, effectiveness and responsible use throughout their lifecycle. 

5. Transparency, education and training 

Employees need to understand the AI tools they are using, including their appropriate applications and limitations. Organizations also need to consider transparency and education for patients and families. 

What’s notable about this list is how little of it is purely about technology. 

It’s about leadership, accountability, risk, workforce readiness and organizational discipline. 

AI Governance Can’t Belong to IT Alone 

That’s perhaps the most important takeaway for healthcare executives. 

Responsible AI adoption isn’t an IT initiative. 

Think about the questions embedded in these five standards. Who determines whether an AI application is appropriate? Who assesses clinical risk? Who considers potential bias? Who evaluates workforce implications? Who establishes acceptable-use policies? Who trains employees? Who monitors performance? Who communicates with patients? And ultimately, who is accountable when something goes wrong? 

Those questions cross IT, clinical leadership, operations, legal, compliance, HR, finance, quality and the executive team. 

They also require boards and senior leaders to become much more fluent in AI governance. 

The Joint Commission itself makes this connection explicit: responsible AI isn’t simply a technology issue; it’s a matter of patient safety, quality, governance, privacy and trust. 

Simply put: Responsible AI adoption is a total organization effort and responsibility. It’s everyone’s business.  

Don’t Wait for Certification to Build the Capabilities 

For many healthcare organizations, achieving formal AI certification today may be ambitious. 

That’s okay. 

The more important question is whether organizations are beginning to build toward the capabilities these standards represent. 

• Do you have a clearly defined AI governance structure? 
• Do you know where AI is already being used across your organization? 
• Is someone accountable for evaluating those tools? 
• Do you have a process for identifying bias and risk? 
• Are you monitoring AI after implementation — not simply evaluating it before purchase? 
• Do employees understand how they should and should not use AI? 
• Are patients being considered in your approach to transparency?

If the answer to several of those questions is “not yet,” your organization certainly isn’t alone. Healthcare is still relatively early in this transformation. 

But “not yet” needs to become a plan. The answer, sooner than you know, will need to be “yes.” 

Certification or Not, the Bar Is Rising 

I believe some level of AI certification is ultimately a good thing for healthcare. 

AI has enormous potential to improve efficiency, support clinicians, strengthen decision-making and ultimately improve patient care. But healthcare organizations need frameworks that allow them to pursue that potential without getting ahead of their ability to govern it. 

The Joint Commission’s certification is one framework. Others will undoubtedly emerge. 

Healthcare leaders shouldn’t wait to see which certification ultimately becomes most prominent before acting. 

Instead, use these emerging standards as a roadmap. 

Because whether or not your organization ever hangs an AI certification on the wall, the ability to demonstrate that AI is being governed safely, ethically, transparently and responsibly is quickly becoming a leadership imperative. The future success of your health system will depend on it.