How AI Phone Answering Helps Medical Practices Capture Missed Calls
Jun 19, 2026
I was skeptical about AI answering phones.
When I first started exploring whether AI could help medical practices manage inbound phone calls, I had the same concerns many of you probably have. Would it sound strange? Would patients get frustrated? Would it create more work for the staff instead of less? Could it really help patients in a way that felt useful and appropriate for healthcare?
Because in a medical practice, the phone is not just the phone.
It is often the practice's front door. It is the patient who finally decided to schedule the appointment. It is the established patient trying to reschedule. It is the post-op patient with a question. It is the new patient comparing your practice to the one down the street.
So I was not interested in adding AI just because it sounded interesting. I wanted to know if it could solve a real problem inside a real practice.
The number that stopped me
Recently, I had the opportunity to pilot an AI phone solution with an orthopedic group I am working with. Before we brought in the AI, the practice was missing an average of 212 calls per week.
That number stopped me. Because 212 missed calls in a week is not just a phone problem. It is a patient access problem, a scheduling problem, a staff capacity problem, and very likely a revenue problem.
And before anyone blames the front desk, I want to be very clear. This is not usually a front desk effort problem.
Most front desk teams I see are doing everything they can. They are checking patients in, answering questions, collecting balances, handling forms, managing provider requests, dealing with insurance issues, and trying to answer the phone at the same time. At some point, human capacity becomes the problem.
What the pilot actually found
The solution we piloted is called Freed Front Desk. Some of you may already be familiar with Freed because of their AI scribe, which many physicians are using and talking about. This is their front desk solution, and I became an early adopter because I wanted to see whether it could help solve one of the most common problems I see in practices: missed calls.
During the pilot, Freed Front Desk captured more than 600 missed calls. These were not theoretical calls or marketing impressions. They were real people trying to reach the practice. Without another way to capture them, many of those patients might have hung up, moved on, or called another office.
Even when a patient does leave a voicemail, that does not mean the problem is solved. Someone still has to listen to the message, figure out what the patient needs, call them back, miss them again, wait for them to call back, and try again between check-ins, check-outs, provider questions, insurance issues, and everything else happening at the front desk.
That back-and-forth takes time. It also creates another pile of work for a team that is already stretched.
It captured the details, not just the call
What made Freed Front Desk different is that it did more than capture the call. It captured the details. The AI gathered the reason for the call, the patient contact information, and enough detail for the team to respond. The callers were also invited to opt in to text messaging while engaging with the AI, so staff could follow up using their HIPAA-compliant SMS platform instead of chasing every patient by phone.
That changed the workflow. Instead of stopping everything to return a voicemail, the team could review the captured information and text the patient back while checking patients in and out. Inside a busy practice, that is a big deal. It gave the staff a way to keep patients moving toward the schedule without constantly being pulled away from the patients standing in front of them.
During the month they piloted it, the lift in overall appointment scheduling was meaningful.
That is what makes missed calls so dangerous. They do not always look like a problem on the surface.
The schedule may just feel lighter than it should. The front desk may feel constantly behind. The providers may have openings that should have been filled. The practice may think it needs more marketing. But sometimes the patients are already there. They are already calling. The practice just cannot get to all of them fast enough.
Were patients happy talking to AI?
Was every patient thrilled to interact with AI? No. And I would never pretend otherwise. But the majority of patients engaged with it. They answered questions, provided information, stayed in the process, and gave the team something to work with.
Instead of a missed call disappearing into a phone report no one had time to review, or a voicemail becoming another task on an already long list, the practice now had a captured opportunity with enough information to act on.
That matters, because a missed call is not just a missed call. It may be a new patient appointment. It may be an MRI follow-up. It may be a surgery consult. It may be a patient who has already been referred and is ready to schedule. And if that patient cannot get through, there is a very good chance they will call someone else.
Where this goes next
What excites me most is where this is going. We are now working toward integrating Freed Front Desk directly with the practice EMR. That means patients will eventually be able to book themselves, based on the rules and controls the practice puts in place.
And that control is important. Maybe you do not want new patients self-scheduling right away. Maybe you only want established patients to book certain appointment types. Maybe you want the AI to collect the request and route it to the team for review. Maybe you want different rules for different providers, visit types, or locations.
That is the beauty of doing this thoughtfully. The goal is not to open the floodgates and let technology run the practice. The goal is to use AI to support the practice, protect the schedule, reduce unnecessary manual work, and help the team focus on the calls and patient needs that truly require a human touch.
The practice had been missing an average of 212 calls per week. More than 600 missed calls were captured during the pilot.
The majority of patients engaged. The staff had a clearer path to follow up and schedule. The practice saw a meaningful lift in appointments during the pilot month. And the next phase, direct EMR integration with controlled self-booking, has the potential to make this even more powerful.
I have also worked out preferred pricing for practices that want to explore Freed Front Desk through TurnKeyMD, so if missed calls are a concern in your practice, this may be a good time to take a closer look.
If you want to know your own number
If you are wondering how many calls your practice may be missing, or whether AI could help your team answer and capture more of them, reply to this email and let me know. I would be happy to share what we are learning, talk through whether this could make sense for your practice, and send over the preferred pricing details.
