Estimate telehealth visit no show impact using operational inputs you can adjust for your own telehealth visit appointments. The calculator shows the main planning result alongside capacity, time, or workload details so you can spot the assumption driving the answer. Use recent local data and compare more than one scenario before changing schedules, rooms, staffing, or booking rules.
This is an expected-value estimate for a group of bookings. Actual missed visits are whole numbers and may vary from period to period.
The dollar result is not necessarily lost revenue. Use contribution after avoidable costs if that better represents the financial effect, and account separately for slots successfully refilled.
For 240 bookings with an 8% no-show rate, expect 19.2 missed visits. At 20 minutes and $45 each, that represents 6.4 hours and $864 at risk.
Use completed scheduling records for a comparable service and time period. Divide unattended, unfilled visits by booked visits using one consistent definition.
Include them only if your operating definition treats them the same and the slot normally cannot be refilled.
It is an average expectation across many periods, not a prediction that a fraction of a person will miss one appointment.
Not always. Contribution after costs that disappear when a visit is missed can better represent the operational financial impact.
No. Overbooking also affects waits and service quality; evaluate arrival patterns, visit duration, and risk separately before changing schedules.
| Input | Meaning |
|---|---|
| Planning period | Keep every workload and time input aligned. |
| Average time | Use a weighted mean when case types differ. |
| Productive time | Exclude breaks and unavailable time consistently. |
| Scenario check | Test typical and peak conditions separately. |