For years, the clinic day at Amarillo Medical Specialists didn’t really end when the last patient left. It just relocated. Providers would go home, have dinner, and then open a laptop for another one to two hours of clinic notes: the after-hours documentation routine known across medicine as pajama time.
That pattern has changed since the practice adopted Sunoh.ai, an AI Scribe for Doctors, to handle the bulk of its clinical documentation.
The Documentation Load of a Specialty Practice
Dr. William Biggs treats diabetes and endocrine patients at Amarillo Medical Specialists, a physician-owned internal medicine group in Texas recognized as the fastest-growing group of its kind in the region, with 12 of its physicians named Texas Super Doctors or Texas Rising Stars by Texas Monthly.
Endocrinology visits rarely involve a single, isolated complaint. A typical encounter has to accurately capture a patient’s diabetes management, ongoing thyroid function, cardiovascular risk factors, and dietary habits, often all in the same visit.
Manually composing that kind of note is demanding. A provider has to hold the full conversation in memory, translate casual dialogue into precise medical terminology, and build the narrative from scratch without missing a data point. That cognitive load doesn’t just slow providers down. It’s also one of the reasons documentation is consistently linked to physician burnout, and it can pull attention away from the patient in front of them. Delivering compassionate care is harder when a provider is mentally drafting a note instead of listening.
Before adopting an AI scribe, Amarillo Medical Specialists found this played out in a concrete way: physicians spent more of each visit typing than engaging with the patient in front of them, which slowed their workflow and limited how many patients they could see in a day. For a growing, physician-owned practice, that ceiling matters as much as the burnout it causes.
From Composing Notes to Reviewing Them
Sunoh.ai listens to the natural conversation between provider and patient during the visit and generates a structured draft note in real time, built to capture details a provider might otherwise have to reconstruct from memory afterward.
The provider still reviews every note. Sunoh generates a draft; it doesn’t finalize documentation on its own. The provider reads it, makes any adjustments needed, and signs off before it becomes part of the patient’s record.
“With Sunoh.ai, I now use the AI scribe for at least 90% of my returning patient visits,” said Dr. William Biggs, of Amarillo Medical Specialists. “Not only has it made documentation faster and more accurate, but our Spanish-speaking patients have been especially impressed with instant summaries in their language.”
That figure matches what the practice reports as a whole. Over 90% of patient visits at Amarillo Medical Specialists are now documented with AI assistance, a shift the practice credits with faster, higher-quality medical notes.
Built for Complex, Multilingual Visits
A specialty practice with a diverse patient population runs into documentation scenarios that a generic scribe tool can struggle with. Before adopting Sunoh.ai, Amarillo Medical Specialists found that delivering visit summaries in a patient’s preferred language, and working smoothly with sign language interpreters, wasn’t easily achievable.
Sunoh.ai is built to capture the verbal translation during interpreter-assisted visits and structure the note without confusion between speakers. It also generates visit summaries and draft clinical notes in English and more than a dozen other major languages, which is where Dr. Biggs’ Spanish-speaking patients have noticed the difference most directly.
What Changed for the Practice
Amarillo Medical Specialists credits Sunoh.ai with more time for patient care and less administrative work for its providers. With AI-assisted documentation covering the large majority of appointments, providers spend less of each visit translating conversation into text and more of it looking at the patient. That’s the direct answer to the capacity problem the practice described before adopting an AI scribe: less time typing per visit leaves more room in the day for the patients who need to be seen.
The after-hours effect follows from that same shift. When most of a day’s notes are already drafted and reviewed by the time a provider leaves the exam room, there’s simply less left to finish at home.
Considering an AI Scribe for a Specialty Practice
Specialty documentation is often the hardest case for AI scribe tools to handle well: more data points per visit, more specific terminology, and less room for a generic template to get it right. A practice evaluating options for a multi-specialty group should look at how well a tool handles exactly this: multi-system visits, interpreter-assisted appointments, and non-English visit summaries, not just a generic single-complaint encounter.
Amarillo Medical Specialists’ experience with Sunoh.ai suggests that ambient AI can hold up under that complexity, provided the provider stays in the loop to review and sign off on every note.
See the full Amarillo Medical Specialists story, watch Dr. Biggs discuss it on video, or learn how Sunoh.ai works for your own practice.
