Patient No-Show Rates by Specialty 2026: Benchmarks From 17 Sources

Patient Prism Source published: October 23, 2026
Vendor research

Published by Patient Prism, which sells call-tracking and patient conversion software for dental, medical and veterinary practices. Not an endorsement by Healthcare Growth Strategies, Paul Gruensfelder or his employer. Sample/method: A desk review of 17 published sources (MGMA data, federal survey and Medicare payment data, two randomized trials and a 105-study review) covering nearly 5 million appointments from 2007 to 2026, compiled in October 2026. Figures are the vendor’s and were not independently verified. Editorial standards

Read Full Article →
AI-Generated Summary

Benchmarked U.S. medical groups miss about 5% to 7% of scheduled visits, according to Patient Prism’s October 2026 review of 17 published sources, including MGMA data, two randomized trials and a 105-study review covering nearly 5 million appointments from 2007 to 2026. Academic and hospital clinics ran about 9% to 20%, dental about 7% to 10% and veterinary about 11%; Patient Prism notes the dental and veterinary figures each come from a single dataset. In the two studies that split them, new patients missed more often than existing ones. In a 54,066-patient primary care trial, two reminders sent 3 days and 1 day ahead produced the lowest rate, about 4%. MGMA reports 32% of medical groups saw higher no-shows in 2026.

Why It Matters

A missed slot is revenue that marketing already paid to fill. Setting-specific benchmarks let a multi-site operator set realistic targets for each location instead of judging a hospital clinic, DSO office or vet hospital against a private-practice average quoted online.

HGS Take

Use it for: Setting location-level no-show targets that match each site’s care setting, and separating true no-shows from late cancellations before the next operations review.

Watch out for: This is a vendor-compiled synthesis, not Patient Prism’s own sample, and several rows are old or narrow (dental 2017 from one university clinic system, veterinary 2014 from one vendor dataset). The revenue-per-visit ranges use Medicare national rates and federal averages, so substitute your own payer mix and visit value.

Try this: Pull last quarter’s no-shows by location and split new from existing patients. Multiply each location’s monthly no-shows by its average visit value, then pilot a second reminder 1 day out at the worst site and compare. The Patient Touchpoint Growth Calculator shows what the recovered volume is worth.

patient no-show rate no-show benchmarks by specialty appointment reminders multi-location scheduling patient access revenue per missed visit

While we aim to share useful and relevant resources, we do not guarantee the accuracy of content on this site or any external links. Views and opinions expressed in referenced content do not necessarily reflect those of Healthcare Growth Strategies.

Frequently asked questions

Does a staff phone call reduce no-shows more than an automated reminder?

In one randomized trial across academic outpatient clinics (9,835 visits, 2007), a staff call 3 days ahead cut no-shows to about 14%, versus about 17% for an automated call and about 23% with no reminder. It is the only head-to-head test in Patient Prism’s review, so treat it as directional.

How should a practice calculate its no-show rate?

Divide no-shows by total scheduled appointments and multiply by 100, leaving out cancellations made with notice. MGMA recommends tracking no-shows and cancellations separately. Some groups also report a nonattendance rate that adds late cancellations; one ENT study found about 9% no-shows but about 18% nonattendance.

Keep going
Free tool · Patient funnelWhere is your patient funnel leaking?Model calls, answer rate, booking and show rate, and see how small gains compound into kept first visits.Open the Touchpoint Calculator →About 2 minutes
Curated by Paul GruensfelderHealthcare growth operator · 13+ years

I keep this library for my own work, then build models and tools when the reading raises a question worth answering.

How I work with operators →
More on this topic