Ask a practice owner what they want more of and the answer is usually simple. More time with patients. A front desk that is not stretched to its limit by 10am. A schedule that stays full because the recall calls got made.
What makes that hard has very little to do with how much anyone in the practice cares. The work surrounding patient care has grown for a decade and it keeps growing, most of it pushed in from outside the office. The American Medical Association’s latest survey puts prior authorization alone at 13 hours of physician and staff time every week, across an average of 40 requests. A day only holds so many hours, and every hour spent on a payer portal is an hour that was supposed to belong to a patient.
That is the problem we have been working on for years, and the reason we recently added a new layer to how we do it.
What a healthcare virtual assistant does in a practice today
Teem places dedicated remote team members inside healthcare practices. They are Teem employees, working your hours, doing real work in your practice: answering phones, running the schedule, verifying insurance, scribing exams, keeping claims moving. Not an app and not a chatbot. A person your patients get to know.
That model has a track record, all of it earned before any AI entered the picture. A 15-location optometry group cut patient wait times in half. A single-location practice in San Diego took new patient growth from 2% to more than 15% year over year. The foundation there was never technology. It was people who were prepared for the work and supported in it.
We have always invested in supporting our people. This is the newest way.
Sourcing a person for a practice is where the work starts. After that comes Teem University, a Success Manager who stays with the relationship, and Performance Tracker so the work is never a black box.
AI amplification is the next layer of that same investment, and the way to understand it is narrower than most AI announcements. It does not change what your remote team member is responsible for. It changes how much they know when they sit down to do it, which turns out to matter more than it sounds.
What better prepared looks like across a day
The front desk and the schedule. A patient calls asking whether you take her plan and whether anything is open before 4pm on a school day. Answering both in one conversation, rather than promising a callback, depends entirely on how much your team member has in front of them while the patient is still on the line. That is where the layer helps first. Coverage details and appointment history surface as the call happens, so the caller gets a real answer and a held slot before hanging up, and nobody has to remember to follow up later.
Patient recall and re-care. A recall call lands differently when it opens with something specific. Your remote team member now dials with that patient’s history already assembled in front of them: when they were last seen, what the doctor recommended, the contact lens brand they wear, the reason the last appointment got pushed. So the call starts with a reason to come in rather than a reminder that they are overdue, which is the difference between a booking and a voicemail. The warmth was always theirs. The context is what is new.
Insurance and coverage. In a well-run office, eligibility and authorizations are handled days ahead of the visit, and nothing about that changes. What changes is how much of the routine lookup sits on one person. When that groundwork comes back assembled rather than gathered plan by plan, your coordinator spends their hours where a person is needed: the authorization still outstanding, the plan that terminated since it was last checked, the coverage that changed between booking and the visit.
Claims and appeals. A denial arrives written in payer language. Your team member gets it back in plain English, with a first-draft appeal already citing the relevant policy, which they review, correct, and file. The appeal goes out this week rather than sitting in a stack until someone has a quiet afternoon, and quiet afternoons are rare.
Clinical documentation. A virtual scribe documents the exam live, and AI does not sit in the middle of that. The help comes on either side. Going in, the scribe starts from a structured template for that visit type rather than an empty note, then shapes it around what the doctor finds. Coming out, it gets checked against what that visit type calls for before reaching the provider. Physicians spend 49.2% of the office day on EHR and desk work, according to Annals of Internal Medicine, so less time building structure means more attention on the patient in the room.
Five different kinds of work, one pattern underneath. The person keeps the judgment and the relationship. The preparation around them gets stronger.
Where patient data fits into this
The first question we get about AI is almost always HIPAA, and that is the right instinct.
Anyone outside your payroll who touches patient information has always required a Business Associate Agreement. With Teem, your practice signs one and it covers the team we place. It also holds when someone moves on, so a replacement does not restart compliance from the beginning.
The people working under that agreement are trained for it. HIPAA and patient privacy courses sit in Teem University alongside the role training your practice assigns, and we keep adding to that library. Access is scoped to the job, the same way you would scope EHR permissions for a new front desk hire.
The AI layer runs inside that same structure rather than alongside it. Your practice approves each tool before it touches a workflow, and patient information stays inside tools covered by an agreement. Our compliance page has the detail, and your counsel should confirm the specifics for your practice.
A remote team in another city and a staff member down the hall are held to the same standard. The difference was never geography. It is governance.
What a practice tends to notice
The first thing is usually range. A remote team member who used to have room for the phones and the schedule now has room for the recall list too, and the work that used to wait for a slow week stops waiting.
The second is consistency. A day that starts with the schedule already verified tends to stay steady through the afternoon, and a week that starts that way tends to end with the recall list in better shape than it started.
The last one is what happens to the in-house team. This has always been the point of the model, and the AI layer sharpens it. Your front desk staff are the ones patients see, and they do that better when they are not also absorbing everything the day throws at them. A virtual assistant supported by good tools takes more of that weight, which leaves your in-office people more present with the person standing in front of them. Enhancing the team you have, never replacing it, is not a reassurance we added later. It is the design.
The person stays in the lead, and that is deliberate
Patients are clear about what they want here. Pew Research Center found that 60% of U.S. adults would feel uncomfortable if their own provider leaned on AI, and the most common reason was losing the personal connection with the person caring for them. We read that research the way most practice owners do, as confirmation of something they already knew from their waiting room.
So the line we drew is firm. Every patient conversation belongs to a person. A person reviews anything that touches a patient or a claim before it goes anywhere.
Where this goes next
The tools available to a well-supported person in a healthcare practice will look different again a year from now, and we will keep adding to this layer as they do. We introduced it earlier this year and we are rolling it out across our teams now.
A practice does not want software and it does not want a workaround. It wants the patient on the phone to be handled well by someone who knows the office, and it wants that to hold on a Tuesday in October when three people are out. Everything we build gets judged against that, which is why the person comes first and the technology is built to serve them.
If you are weighing what dedicated remote support could look like inside your practice, we are glad to walk through the specific roles with you.
Every practice has one part of the day that runs heaviest. Tell our team which one yours is, and we will show you what a remote team member covers there.
