CNIO Summit trends: why the foundation matters more than the AI

Here’s the line that kept echoing through every session: AI is not a strategy. It’s an accelerator. And if you accelerate on a broken foundation, you just reach the wall faster.

Dr. Daniel Carnegie, Chief Data Officer at North Carolina DHHS, framed the issue in a way that stuck with me: health systems don’t necessarily need more data – they need better ways to translate the data they already have into meaningful action. We’re drowning in data but starving for insight. The real challenge is less about collecting more information and more about knowing what matters, what can be trusted and what should drive the next decision.

That reframes the whole conversation. When AI projects fail, it’s rarely the technology’s fault. It’s poor data, fragmented systems, weak governance or workflows that never lined up in the first place. AI doesn’t solve those problems. It magnifies them. Foundation before innovation – every time.

Remember when “interoperable” was a nice line on the spec sheet? Those days are gone. Across the Summit, interoperability wasn’t a feature request. It was the request.

Health systems are done buying standalone tools that don’t talk to each other. They want open platforms, cross-vendor connection, integrated clinical environments and fewer point solutions cluttering the stack. The market is moving – decisively – away from isolated technologies and toward enterprise-wide ecosystems.

Gretchen Brown from Stanford Health Care captured the stakes with my favorite quote of the day: “Smart beds without integration become very expensive dumb beds.” That’s the whole problem in one sentence. Capability without connection is just cost. The systems that win will be the ones that integrate cleanly, vendor-neutral, across the entire care environment.

If there’s one truth the Summit refused to sugarcoat, it’s this: deploying technology is the easy part.

Several leaders said the same thing in different ways. The install goes fine. Then the hard work begins – workflow redesign, change management and the slow, human business of building trust. Katie Barr and Tracey Breece from Advocate Health framed it sharply: “Use does not equal adoption. Adoption does not equal usability.” Three different things, and we tend to celebrate the first while ignoring the other two.

Success isn’t measured by what you installed. It’s measured by what clinicians adopted – and whether it made their day better or just busier. As one leader asked, “What can we stop doing so we can start doing something new?” That’s the question too many transformation plans skip.

Ambient technology started as a documentation helper. The Summit made clear it’s becoming something much bigger.

The vision now is the ambient room as a connected care platform – not a transcription tool. Future ambient environments will support patient monitoring, virtual nursing, virtual care, workflow automation, communication, clinical decision support and operational awareness. All of it, woven into the room itself.

But – and this is the recurring catch – none of it works without integration underneath. As Gretchen Brown reminded the room, “Focus on workflows, not technology.” The ambient room is only as smart as the ecosystem it connects to. Integration must come first, or you end up with that very expensive dumb bed again.

One shift I was glad to see: the CNIO role is expanding fast, and nursing is no longer a stakeholder you consult after the fact.

Nursing leaders are now shaping AI governance, technology investment decisions, workflow redesign, change management and enterprise transformation. The logic is simple and overdue – nursing should help shape nursing technology. Who else understands the workflow well enough to know whether a tool helps or hurts?

Barr and Breece offered a reframe I keep thinking about: “Don’t call them super users. Call them ambassadors.” It’s a small change in language that signals a big change in mindset. Adoption isn’t enforced from the top. It’s carried by trusted peers who help the rest of the team believe.

Governance usually gets a bad rap. It sounds like the thing that slows innovation down. The Summit flipped that script.

Leaders repeatedly described governance as an accelerator. Done well, it improves scalability, reduces risk, creates accountability and – maybe most importantly – builds trust. As Dr. Carnegie said, “Innovation moves fastest when governance moves with it.” The organizations establishing AI governance before they attempt enterprise-scale deployments are the ones positioned to actually scale.

Governance isn’t the opposite of innovation. It’s how innovation earns the right to grow.

Sitting in those sessions, I kept thinking how closely the Summit echoed where we’re already headed. Health systems are actively looking for partners who can connect fragmented systems, build interoperable ecosystems, reduce clinician burden, enable virtual care and deliver trusted clinical data they can act on.

That’s the opportunity. Interoperability was the number one challenge in the room, and connecting devices, workflows and care environments is exactly the kind of problem we’re built to help solve. As ambient intelligence expands, high-quality, trusted clinical data only becomes more valuable – it’s the signal everyone’s trying to separate from the noise.

Our role isn’t to hand someone another point solution. It’s to help connect the pieces into a foundation that turns data into insight, insight into action, and action into better outcomes. No two health systems are at the same point on that journey, and healthcare rarely hands you one problem at a time. Meeting that complexity with a steady, integrated approach is the whole job.

The strongest message from the Summit fit in three lines. AI is not a strategy. Integration must come before intelligence. And the future belongs to the organizations that build the foundation before they scale the intelligence. As one leader put it, “To see change, we need to be part of the change.” That starts with the foundation.