Ask a practice owner how many calls their office misses in a week and you will usually get a shrug, then a guess, then something like “not many, we’re pretty good about the phone.” Ask their phone system and you get a different answer.
The published figures vary a lot depending on who is publishing them — and it is worth noticing that nearly every number in this category comes from a company selling a solution to the problem. Estimates commonly land somewhere between 15% and 30% of inbound calls going unanswered during business hours. One 2026 industry compilation put the cross-specialty average at 23%. Treat all of these as a prompt to go measure rather than as a finding about your practice.
Because the range is wide, the only number that matters is yours. It takes about ten minutes to find.
How to measure your own miss rate
Every VoIP phone system built in the last decade — RingCentral, Weave, Spruce, 8x8, Nextiva, Dialpad, Google Voice — keeps a call log with disposition data. You are looking for three columns:
- Total inbound calls over a period, ideally a full month so you catch Monday mornings and post-holiday surges.
- Answered calls. Careful here: some systems count a call as answered the moment it reaches an auto-attendant. You want calls answered by a person.
- Abandoned or voicemail-diverted calls. These are your misses.
Divide misses by total. That is your miss rate. Pull the same report broken out by hour if your system supports it, because the shape usually matters more than the total — most practices discover their misses are concentrated in three windows: the 8–10am opening surge, the lunch hour when the desk is down to one person, and the last 30 minutes before close.
Pull last month’s call log and calculate your miss rate by hour of day. Almost everything else in this article is optional. That single report tells you whether you have a staffing problem, a coverage-window problem, or no problem at all — and which of the three it is determines the fix.
What a missed call is worth
A missed call is not automatically a lost patient. Some people call back. Some leave a voicemail you return within the hour and nothing is lost but a little goodwill. The cost depends entirely on who was calling and what they wanted, which is why blanket “a missed call costs $200” claims are close to meaningless.
It is more useful to split your missed calls into three buckets:
| Caller | Typical share | What a miss costs |
|---|---|---|
| Existing patient, routine (refill, records, question) | Majority | Staff time on callback, mild goodwill hit |
| Existing patient, scheduling or rescheduling | Meaningful | Risk of an unfilled slot |
| New patient enquiry | Smallest | Full lifetime value, often permanently |
The third bucket is small and carries nearly all the financial damage. A new patient who cannot reach you has no relationship to fall back on and no reason to try twice — they are working down a list. Industry surveys consistently report that most callers will not leave a voicemail, and a large share simply move to the next practice. The exact percentages are contested; the direction is not.
This is also why the intuition “we call everyone back within the hour, so we’re fine” breaks down. It holds for buckets one and two. It does not hold for the bucket that actually costs you money, because by the time you call back, they have an appointment somewhere else.
Run your own numbers
Fill in what you know. Where you do not know, the defaults are deliberately conservative — they will understate rather than flatter.
Missed call cost estimator
This counts only new patients lost outright. It excludes staff time spent on callbacks, unfilled slots from existing patients who could not reach you to reschedule, and any effect on reviews or referrals — all of which are real and none of which are modelled here.
Two things usually stand out when people run this. The first is that a miss rate that sounds tolerable produces an annual figure that does not. The second is that the number is dominated by the new-patient value input, which is the one most practices have never calculated. If you take one figure away from this article, make it that one — it drives your marketing spend, your scheduling priorities, and your staffing decisions, not just this estimate.
The fixes, cheapest first
In rough order of cost, and genuinely in the order worth trying:
1. Move the phone off the check-in desk
In a lot of small practices the same person greets patients at the window and answers the phone. During the morning surge both demands peak simultaneously, and the person in front of you always wins. Simply routing the phone to a different person during peak windows — even someone in the back office — costs nothing and often removes a third of the problem.
2. Stagger your lunch
If the desk goes to one person between 12 and 1, and your call log shows a lunchtime spike, you have found free money. Staggering breaks so coverage never drops below two during the midday hour is a scheduling change, not a hire.
3. Add online booking for routine visit types
This does not reduce calls as much as vendors claim — phone remains the dominant scheduling channel for most patient populations, particularly older ones — but it meaningfully shifts the easy bookings out of the queue, which leaves the desk more room for the calls that need a person.
4. Route new-patient calls separately
If new patients are where the money is, give them their own path. A separate published number or a menu option that rings differently means the highest-value calls are not competing with refill requests for the same ear.
5. Add coverage
If you have done the above and your call log still shows a persistent miss rate concentrated in predictable windows, that is a staffing gap, and no amount of process fixes it. The question then becomes what kind of coverage.
What kind of coverage actually helps
There are three common options and they are not interchangeable.
An answering service takes a message. This solves the “nobody picked up” problem and does nothing about the underlying work — the booking, the insurance question, the records request all arrive back at your desk as a queue of callbacks. For after-hours and overflow it is reasonable. For daytime volume it mostly moves the work rather than doing it.
An AI receptionist handles the scripted opening of a call well and hands off the moment a caller does something unexpected, which patients do constantly. It is genuinely useful for triage and routing. It is not useful when someone needs a prior authorisation chased or wants to explain why they need to be seen this week.
A remote receptionist — an actual trained person working your line and inside your EHR — resolves calls on the call. Bookings go into your system live. The insurance question gets answered. Nothing lands back on your desk afterwards. This costs more per hour than the other two and less than a local hire, and it only makes sense if your miss rate is genuinely a staffing problem rather than a process one.
We sell the third option, so read the paragraph above with that in mind. If your call log shows misses clustered at lunch and nowhere else, stagger your breaks — do not hire anyone, including us. Coverage is worth paying for when the gap is structural and persistent, not when it is a scheduling artefact you can fix on Monday.
What to do this week
- Pull last month’s call log and calculate your miss rate, broken out by hour.
- Work out the actual lifetime value of a new patient at your practice.
- Run those two numbers through the estimator above.
- If the misses cluster in identifiable windows, fix the schedule first.
- If they persist across the day after that, you have a coverage gap worth costing out.
Most practices that go through this find their answer in step four. The ones who reach step five at least reach it with a number in hand rather than a hunch, which is a considerably better position from which to decide anything.
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