In a recent MGMA Summit Operations Discussion Group of more than 200 practice leaders, the facilitator could call no-shows the room's "bugaboo" and get knowing nods rather than pushback.

Text reminders have been standard in some medical groups for years. Confirmation systems are everywhere. And yet, as one participant put it, you can remind patients as much as you want — the ones who weren't going to show still don't.

It's a signal that the easy gains may already have been captured. The discussion kept returning to one idea: stop treating no-shows as one undifferentiated number. A same-day cancellation in neurosurgery is a different problem than one in primary care. The lead time is different, the stakes are different, and so the right move is different. Here's how to build a no-show strategy around that fact.

The reminder plateau

Reminders are well suited to one kind of no-show: the patient who simply forgot. Once a practice already has a text a few days out and a confirmation the day before, adding more messages may produce diminishing returns — especially if the remaining misses have other causes.

The misses that remain can happen for reasons a reminder can't touch: transportation falls through, a copay is out of reach that week, a patient is anxious about a procedure, work will not allow the time off, or the appointment was booked so far out it stopped feeling real.

The latest MGMA Stat poll found that nearly one in three medical groups (32%) reported higher no-show rates in 2026, up from 27% in our Aug. 12, 2025, poll. Another 58% said rates were about the same this year, while 11% reported improvement. The year-over-year shift is modest, but it comes after practice leaders already named no-shows as their top patient access priority for 2026. The next question is which kind of no-show you are dealing with, because that should determine the response.

Segment the problem before you solve it

A practice-wide no-show rate is an average that hides the differences that matter. Pull it apart by specialty and visit type, and the operational problem becomes clearer. A new-patient slot, a procedural visit, a routine established-patient recheck and a behavioral health appointment carry different no-show risks and different costs when they are missed — so they may need different interventions.

This is where benchmarks help. Compare your no-show rate by specialty with MGMA DataDive Financials and Operations data to see where your practice appears unusually high or low. Then look at the operational cost of the missed slot. A procedural or resource-intensive no-show may leave a room, equipment and clinician time unused, which is where stronger tactics may be worth the added friction.

Use prediction to choose the next move

Predictive analytics are one next step. Recent MGMA polling found that only about 15% of medical groups use predictive analytics to improve scheduling or no-shows, so most practices are still working mainly from reminders and staff judgment.

A risk flag matters only if staff know what to do with it. For a low-complexity visit, a practice might test limited overbooking — but only with accuracy checks and capacity limits so a wrong prediction does not create longer waits or overload the clinician. The same risk flag on a high-cost procedural visit may call for stronger confirmation: a live call rather than a text, or a requirement that the patient actively reconfirm.

When clinically appropriate and operationally feasible, telehealth may also remove transportation or time-off barriers for some patients. The prediction does not fix the no-show; it helps staff choose the response.

Match policy to the cost of the missed visit

Many practices apply one no-show fee and one cancellation window to everyone. Adjusting policy for visit cost and complexity can make the response more proportional to the missed visit. In a January 2025 MGMA Stat poll, 42% of practices reported using a no-show fee. A flat fee may not fit every visit or every patient circumstance.

Low-stakes, high-volume visits may need little more than a reminder and a backfill plan. For procedural or high-cost visits, practices can consider stronger confirmation requirements, longer cancellation windows or, where payer contracts and applicable rules allow, deposits. Any deposit or fee policy should be clearly disclosed and include defined exceptions. Reserving the highest-friction policies for visits where a no-show carries the greatest operational cost keeps the response proportional instead of adding the same barrier to every appointment.

Plan to recover the slot

Even a well-segmented strategy will not eliminate no-shows, so staff also need a plan for the opening that remains. An automated waitlist, configured with specialty-specific rules so the wrong patient is not placed into the wrong slot, can help refill some openings the same day.

Summit participants also raised telehealth conversion: when an in-person slot opens up or a patient cannot make it in, a virtual visit may preserve the encounter when it is clinically appropriate and operationally feasible. Neither tactic recovers every gap, but both can turn some no-shows back into completed care instead of unused time on the schedule.

Measure by segment, not in aggregate

Do not judge the work by one practice-wide no-show rate. A win in one service line can hide a worsening problem in another. Track rates by specialty and visit type, then measure whether the specific change you made improved the segment it was meant to address. Count backfilled and telehealth-converted slots too, because the operational question is not only how many patients missed, but how much completed care the practice recovered.

Start with the segment, then choose the intervention: a reminder for the patient who forgot, a carefully tested overbook for selected low-complexity high-risk slots, stronger confirmation for an expensive procedure, and a backfill or telehealth plan for misses you cannot prevent. If a practice keeps chasing a lower overall no-show number with more of the same reminders, it may be applying one solution to several different problems.