High-growth practices are significantly more likely to adopt AI and automation across core workflows, not just experiment at the edges. And the gap between those who are adopting it and those who aren’t is starting to widen.
It feels like yesterday that "AI in healthcare" felt like a future conversation... That's changed.
In our recent report, the Practice Growth Index, we analyzed responses from more than 550 outpatient rehab therapy practices nationwide, and the results tell a clear story.
The highest-growth PT practices aren’t talking about AI anymore. They’re using it every day in ways that directly impact revenue, staff workload, and patient experience.
This isn’t about hype. It’s about how work actually gets done inside a clinic.
From the data, one thing is clear:
High-growth practices are significantly more likely to adopt AI and automation across their workflows, not just in isolated use cases.
They’re not experimenting on the edges.
They’re embedding it into the core of how their practice runs.
Because they’ve realized something important:
AI doesn’t replace clinicians. It removes the operational drag around them.
When we analyzed how top-performing practices are actually using AI, a few patterns stood out.
High-growth practices are using AI to:
This isn’t just about saving time.
It’s about finishing notes faster, improving compliance, and unlocking more visits per provider.
Top-performing practices are using AI to:
Instead of hiring more front desk staff, they’re using automation to absorb that work.
The result:
And importantly, less need to over-hire early.
High-growth practices understand that growth isn’t just about getting patients in the door. It’s about keeping them engaged.
AI is helping them:
We’ve also seen that many of the most active booking windows happen outside of normal business hours, especially evenings and weekends when patients are planning their week.
Practices using AI-powered scheduling capture that demand.
Practices relying on manual processes miss it.
This is where AI becomes a real differentiator.
Some of the fastest-growing practices are using AI to:
Instead of digging through reports, they’re being proactively informed.
And that changes how quickly they can act.
One of the most interesting takeaways from the data: High-growth practices aren’t just using AI to move faster. They’re using it to stay lean longer and make work more meaningful.
Instead of solving every operational bottleneck with people, they’re asking, “Can this be automated first?”
That shift frees up clinicians and staff to focus on what matters most:
It also changes how practices hire.
Instead of hiring reactively, they can hire more intentionally and invest in roles that actually drive growth.
The result:
It’s not about replacing people. It’s about building a team where everyone can focus on their highest-impact work.
Here’s the reality:
Practices that adopt AI early are compounding their advantage.
They:
Meanwhile, practices that delay adoption are often:
This isn’t a small difference.
It’s structural.
AI in PT isn’t a future concept anymore.
It’s already shaping how the highest-growth practices operate today.
And the biggest shift isn’t what AI can do.
It’s how practices are thinking about it:
Not as a tool. But as part of their operating model.
If you’re running or growing a practice today, the question isn’t:
“Should we use AI?”
It’s: where is manual work still slowing us down and what would it look like to remove it?
We break down the complete data, benchmarks, and trends behind high-growth practices in the Practice Growth Index. Read the full report here.
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