AI in healthcare is often talked about in terms of potential. At Confluent Health, it’s already in practice.
AI clinical documentation has now supported care for more than 1 million patient visits, moving beyond pilot programs into scaled, everyday use.
Adoption That Outpaced Expectations
The original goal was modest. Around 400 providers by the end of 2025.
Instead, adoption accelerated quickly. Today, more than 2,200 clinicians—about 80% of providers—are actively using AI documentation tools.
That kind of growth doesn’t come from mandates. It comes from clinicians choosing tools that make their day easier.
Tens of Thousands of Hours Given Back
The biggest impact shows up in time.
In February 2026 alone:
- 290,254 visits supported
- 116,317 unique patients seen
- 78,360 hours saved
That’s not just efficiency. That’s time returned to clinicians. Time that can be spent with patients, with family, or simply off the clock.
Less Burden. Better Care.
For years, solving challenges in healthcare has meant asking clinicians to do more. This time, the approach was different. The goal was simple: reduce the burden, give clinicians time back, and let them focus on care. The result is more engaged clinicians, more informed patients, and better overall outcomes.
Smarter Data. Stronger Outcomes.
AI documentation is part of a bigger shift toward data-driven care.
Today, Confluent Health has:
- Collected more than 46,000 patient outcomes
- Achieved over 90% of notes signed within business hours
- Reduced average time to sign to less than 24 hours
This data is already being used to improve quality, identify gaps, and strengthen conversations with stakeholders.
This Is What Scale Looks Like
Reaching 1 million patient visits isn’t just a milestone. It’s proof.
AI clinical documentation is working in real clinics, with real clinicians, and real patients. It’s reducing friction, improving workflows, and making it easier for clinicians to do what they were trained to do: treat patients.
What Comes Next
The focus now is simple: keep improving. Make workflows easier, deepen integrations, deliver better insights for clinicians, and build smarter tools for patient care.
AI in healthcare is often talked about in terms of potential. At Confluent Health, it’s already in practice.
AI clinical documentation has now supported care for more than 1 million patient visits, moving beyond pilot programs into scaled, everyday use.
Adoption That Outpaced Expectations
The original goal was modest. Around 400 providers by the end of 2025.
Instead, adoption accelerated quickly. Today, more than 2,200 clinicians—about 80% of providers—are actively using AI documentation tools.
That kind of growth doesn’t come from mandates. It comes from clinicians choosing tools that make their day easier.
Tens of Thousands of Hours Given Back
The biggest impact shows up in time.
In February 2026 alone:
- 290,254 visits supported
- 116,317 unique patients seen
- 78,360 hours saved
That’s not just efficiency. That’s time returned to clinicians. Time that can be spent with patients, with family, or simply off the clock.
Less Burden. Better Care.
For years, solving challenges in healthcare has meant asking clinicians to do more. This time, the approach was different. The goal was simple: reduce the burden, give clinicians time back, and let them focus on care. The result is more engaged clinicians, more informed patients, and better overall outcomes.
Smarter Data. Stronger Outcomes.
AI documentation is part of a bigger shift toward data-driven care.
Today, Confluent Health has:
- Collected more than 46,000 patient outcomes
- Achieved over 90% of notes signed within business hours
- Reduced average time to sign to less than 24 hours
This data is already being used to improve quality, identify gaps, and strengthen conversations with stakeholders.
This Is What Scale Looks Like
Reaching 1 million patient visits isn’t just a milestone. It’s proof.
AI clinical documentation is working in real clinics, with real clinicians, and real patients. It’s reducing friction, improving workflows, and making it easier for clinicians to do what they were trained to do: treat patients.
What Comes Next
The focus now is simple: keep improving. Make workflows easier, deepen integrations, deliver better insights for clinicians, and build smarter tools for patient care.
This isn’t the finish line. It’s where the work continues to scale.