There’s a story that comes up in almost every conversation about new technology (especially AI and automation) in the operating room. It goes something like this: we’d love to deploy this, but our physicians will never use it.
Administrators have seen too many rollouts stall. Technology that looked transformative on paper sits unused because the people for whom it was built didn’t trust it, didn’t need it, or simply didn’t have time to learn it. Physicians, on the other hand, have lived through tools that added steps, created documentation burdens, or produced outputs they couldn’t fully understand or validate. Resistance, when it shows up, is usually earned.
So when ambient AI enters the OR conversation, both sides of the table arrive with the same underlying assumption: this will be an uphill battle.
Skepticism exists for a reason
Physician skepticism toward new technology is often labeled as resistance. In reality, it’s a reflection of experience. Clinicians have seen EHRs double documentation time, alerts degrade into noise, and AI tools promise decision support while delivering black-box recommendations with little interpretability. When a new system arrives, skepticism is the appropriate prior.
Deploying a tool that physicians ignore doesn't just waste budget. It also erodes the credibility of future technology initiatives. If your physicians disengage from one AI rollout, internally selling the next one becomes significantly harder.
The more important question, then, isn’t how to overcome resistance. It’s whether a tool actually deserves to be trusted. One way to answer that is to look at the tools clinicians have actually adopted and what happens when they use it in practice.
Learn how AI notifications increased physician trust and reduced delays.
Read the full analysis
What happens when the tool meets that standard
To better understand this, Apella surveyed surgeons and anesthesiologists across both academic medical centers and community hospitals. In total, 127 physicians responded.
The goal was to assess how real-time case event notifications, delivered automatically to mobile devices, fit into day-to-day clinical workflows.
Across all sites, 92% of physicians rated the notifications as valuable, with 76% selecting the highest possible rating. Just as importantly, the results were consistent across organizations, suggesting that the value was not limited to a single site or a small group of early adopters.
That alone is notable. But the more important story is how physicians described their use of the system.
What physician buy-in actually looks like
When asked how the notifications fit into their workflow, physicians quickly moved past the evaluation and focused on how they were already using the tool. In other words, they talked about outcomes and relevance.
They used notifications to better time their arrival to the OR, cutting idle time without risking delays. They stayed aligned across the full surgical schedule, not just individual cases. And they replaced the manual communication on which they'd relied before, like texts from residents or circulating nurses, which had been inconsistent and hard to trust.
One detail stands out. In an environment where alert fatigue is well-documented, physicians weren't asking for fewer notifications. They were asking for more. That behavior is a strong signal that the information wasn't just received, but actively used.
What this means for hospitals evaluating AI
For hospitals evaluating ambient AI in the operating room, this changes the conversation. Physician skepticism is real, but it’s grounded in experience. Clinicians adopt tools that deliver clear, immediate value and fit into their existing workflows, and they disengage from those that don’t.
When those conditions are met, adoption isn’t just possible. It can be widespread and sustained across every type of hospital.
Read the full outcome analysis
The full analysis includes site-level breakdowns, detailed satisfaction data, and direct physician feedback.