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Telehealth Visit Wait Time Estimator

The Telehealth Visit Wait Time Estimator approximates how long a current telehealth queue would take to clear with the clinicians presently available. It combines patients waiting, clinician count, average visit length, and visit-time utilization to estimate an effective service rate and a queue-clearing time. The tool is useful for same-day virtual care operations, access planning, staffing scenarios, and understanding how changes in clinician availability or appointment duration can affect a backlog.

This is a simplified workload model rather than a real-time queueing system. It assumes clinicians work in parallel at the entered average pace and that no additional patients join the queue during the clearing period. Actual patient waits depend on new arrivals, triage priority, no-shows, technical delays, visit complexity, documentation, clinician breaks, and routing rules. The estimate should therefore be used for operational scenario planning, not as a promised wait time or a clinical prioritization method.

Planning inputs

patients
clinicians
min
%
Result
—
Estimated queue-clearing time
Effective visit rate—
Queued visit workload—
Patients per clinician—

1. Enter the current patient queue
Use the number of patients waiting for the telehealth service at the moment you want to model.

2. Enter active clinicians
Count clinicians who are available to conduct these visits in parallel now.

3. Set average visit length
Use a representative visit duration for the queue mix.

4. Set visit-time utilization
Enter the share of clinician time expected to remain available for visits while the queue is being worked down.

5. Review the estimated clearing time
The result estimates how long the entered queue takes to clear if no new patients arrive. Also review the effective visits per hour and queued clinician-hours.

Effective visit rate = Clinicians × (60 ÷ Average visit minutes) × Visit-time utilizationQueue-clearing time (minutes) = Patients waiting ÷ Effective visit rate × 60

Where:

  • Patients waiting — current telehealth queue size
  • Clinicians — active clinicians serving the queue in parallel
  • Average visit minutes — average appointment duration
  • Visit-time utilization — share of clinician time available for visits, expressed as a decimal

Assumptions: No new patients arrive while the queue is being cleared, service proceeds at a stable average rate, and all patients can be served by the same clinician pool. Triage and priority routing are not modeled.

What the result means

This result is an operational planning estimate based only on the values entered above. It should be interpreted alongside workflow constraints and local policies.

For clinical, staffing, regulatory, or pharmacy decisions, apply the appropriate professional standards and organization-specific requirements; this calculator does not establish them.

Given:

  • 24 patients waiting
  • 4 active clinicians
  • 20-minute average visit
  • 80% visit-time utilization

Calculation:
Effective visit rate = 4 × (60 ÷ 20) × 0.80 = 9.6 visits/hour
Queue-clearing time = 24 ÷ 9.6 × 60 = 150 minutes

Result: 150 minutes

Interpretation: Under the simplified no-new-arrivals assumption, the current 24-patient queue would take about 2 hours 30 minutes to clear.

Is this the wait time every patient will experience?

No. It is the estimated time to clear the whole entered queue. Individual waits depend on queue position, routing, priority, and new arrivals.

Why does the calculation ignore new arrivals?

That keeps the model transparent and useful for backlog scenarios. For a continuously arriving service, compare arrival volume with service capacity or use a dedicated queueing model.

Should clinicians with different visit types be combined?

Only when a pooled average visit length is reasonable and they can serve the same queue. Separate clinician groups when specialization or routing prevents interchangeability.

How should I account for documentation and technical delays?

Lower visit-time utilization or increase average visit length to represent time that reduces the rate at which new visits can start. Do not count the same delay in both inputs unless appropriate.

Can I use this estimate to set clinical priority?

No. Clinical triage and prioritization should follow appropriate care protocols and professional judgment. This calculator only estimates operational queue-clearing time.