Turning ambient nursing into sustainable clinical practice

Written by: American Hospital Association • Created: Sep 21, 2026

 

Area of expertise

Clinical informatics, ambient nursing documentation and operational technology

Champion focus area

Embedding emerging technology into front-line workflows that improve efficiency, data timeliness and patient safety

Amit Patel’s perspective

Amit Patel has spent his entire healthcare career at Tampa General Hospital, starting as an ICU nurse before moving into clinical informatics and technology leadership.

Today, as CNIO and Senior Director of Informatics, he helps lead the technology that supports hospital operations as Tampa General evolves from a single academic medical center into a growing health system. His work has included redesigning the organization’s command center and helping pioneer ambient nursing documentation.

That experience has reinforced a key lesson: implementing technology is often the easy part. Lasting impact depends on changing clinician habits, demonstrating value in daily workflows and sustaining adoption well beyond initial rollout.

For Patel, this work extends beyond efficiency. More timely clinical documentation strengthens the predictive models, operational tools and decision support systems that rely on current data to improve care.

 


“It’s not the technology that’s the hard part. It’s the practice change.”


 

Q&A

 

What led you from ICU nursing into clinical informatics?

I started at Tampa General as a neuro ICU nurse and later worked in the cardiothoracic ICU. While I was completing my master’s in informatics, the organization began transitioning to Epic.

I moved into an analyst role and have been on the technology side ever since, working across Epic, business intelligence and hospital operations.

Having a clinical background has been important because I understand what the frontline is being asked to do. Technology decisions have to make sense in the reality of patient care, not just from an IT perspective.

What have you learned from introducing ambient documentation to nursing?

The biggest lesson is that ambient nursing is a clinical practice change, not simply a technology rollout.

The tool itself is relatively easy to use. The harder part is asking nurses to verbalize assessments they may have performed silently for years and make that behavior feel natural during the patient encounter.

We have seen different levels of adoption across units. Where adoption has been strongest, nursing leaders have remained actively involved, reinforced expectations and helped teams develop the new habit.

We also are learning that the value grows as the technology supports more of the nurse’s work. The more naturally it fits into assessments, handoffs, education and other workflows, the easier it becomes for clinicians to see why they should use it consistently.

What does it take to sustain adoption after the initial rollout?

You cannot rely on enthusiasm alone.

Early on, we told nurses to use the technology when they could. That did not create the consistency we needed. We learned that expectations must be clearer and that they need to come from nursing leadership, not IT.

Local leaders are critical because they understand the workflow, have credibility with their teams and can reinforce the practice after implementation support leaves the unit.

We have tried incentives, dashboards and other ways to encourage adoption. Those can create short-term momentum, but the real challenge remains building the technology into the normal clinical routine.

That is where change management becomes more important than the technology itself.

Why does more timely documentation matter beyond the nursing workflow?

Documentation is part of a much larger clinical information system.

We have predictive models, command center tools and other technologies that rely on current information. If a nursing assessment is documented two or three hours after it occurs, those systems are working with incomplete data during that time.

That can affect everything from clinical decision support to early detection models.

For example, we have built tools to support sepsis identification and intervention. Those capabilities are only as effective as the information feeding them.

Ambient documentation can reduce documentation latency by helping nurses capture and file information closer to the point of care. That makes the workflow more efficient for the nurse, but it can also make downstream technology more useful and timely.

Why are collaboration and peer learning important as technology evolves?

Technology is changing too quickly for health systems to learn everything independently.

We regularly connect with peers through technology partners and other health systems. What is valuable is hearing that many organizations are dealing with the same challenges, then understanding the different ways they are addressing them.

That is particularly useful with emerging areas like ambient nursing, where there is not yet one established model for adoption and sustainment.

Peer learning gives us a chance to compare approaches, understand what others are testing and avoid repeating mistakes where possible.

That is also where the Accelerator Champion Network can add value. Bringing together leaders working through similar implementation challenges creates another opportunity to share what is working, learn from different approaches and move promising ideas forward faster.

 

What hospitals can learn

Build the habit, not just the technology

Emerging technology creates value only when clinicians consistently use it in practice.

For Patel, that means treating implementation as a change management effort from the beginning. Frontline leaders should be involved early, expectations should be clear and teams should have time to practice new behaviors before they are expected to become routine.

Hospitals also should look beyond the immediate workflow when measuring value. Faster documentation may save clinician time, but it also can improve the timeliness of data feeding predictive models, decision support and operational systems.

Technology adoption is not an isolated IT project. It is part of a connected clinical environment where one workflow can influence the effectiveness of many others.

 

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