Recognize the Signs
Patient throughput depends on what happens across the entire visit. A clinic can have efficient providers and still lose capacity when patients, staff, rooms, results, or information repeatedly wait for the next step.
Does This Sound Familiar?
Higher patient volume quickly creates backups
The clinic may run smoothly at normal volume, but waiting and unfinished work increase quickly when demand rises.
Patients, staff, or providers regularly wait for the next step
Rooms, information, results, documentation, or other dependencies can leave work stalled even when no single stage appears unusually slow.
The patient leaves, but the work from the visit continues
Imaging follow-up, pharmacy calls, documentation, referrals, and other post-visit work can consume capacity after door-to-door time stops being measured.
Check Your Performance
Once you recognize that throughput may need attention, look at how well the operation handles demand and where time accumulates across the visit. Start with the performance signals you can already track, then use a couple simple tests to find delays and work those numbers may not reveal.
Start With the Signals:
Total Visit Time
Reference point: 56 minutes
The Urgent Care Association reports an average urgent care visit time of 56 minutes. A separate analysis published in the Journal of Urgent Care Medicine examined nearly 33 million aggregated Experity EMR records from 2024 and found an average visit duration of 59.6 minutes. In that dataset, 42% of patients completed their visits in less than 45 minutes and 62% within 60 minutes.
What it can tell you: Whether overall visit duration deserves a closer look
Compare by: Time of day, location, visit type, patient volume, and diagnostic use to see whether an acceptable overall average is concealing a recurring delay
Daily Visit Volume
Industry context: About 34 patients per center per day
The Urgent Care Association reports average daily visit volume of 33.96 patients per center in 2025, up slightly from 33.27 in 2024 and 33.13 in 2023. Use those figures for industry context rather than performance targets. Demand, operating hours, services, staffing, and market conditions all influence how many patients an individual clinic serves.
What it can tell you: The level of demand your operation is handling
Interpret with: Throughput and workload. Look at whether visit times, backlogs, or unfinished work increase disproportionately as volume rises
Patients per Provider Hour
Useful reference: About 4 patients per hour
A large analysis published in the Journal of Urgent Care Medicine notes that urgent care providers typically have capacity for about four patients per hour. Patient volume should be considered alongside other factors when evaluating provider performance.
Current guidance developed by the College of Urgent Care Medicine and Urgent Care College of Physicians recommends evaluating clinician productivity using a broader framework that considers patient volume, clinical quality, patient safety, patient complexity, documentation requirements, and operational resources. (Journal of Urgent Care Medicine)
What it can tell you: Whether provider capacity deserves further investigation
Interpret with: Patient complexity, visit type, documentation demands, staffing support, and provider cycle time before concluding that a difference represents a productivity problem
Diagnostic Turnaround
Track: Time from diagnostic order to an actionable result
Turnaround varies by diagnostic service and urgency, making your own performance patterns especially important. Look at whether diagnostic waits materially extend visits and whether performance changes during particular parts of the day.
For context, Experity reports average Teleradiology turnaround of approximately 10.32 minutes for STAT reads and 23.27 minutes for routine readsThese are Experity service-performance figures rather than industry benchmarks.
What it can tell you: Whether diagnostics are becoming a constraint on patient flow
Look closer if: Turnaround is reasonable overall but rises significantly during certain hours, for particular study types, or at specific locations
Segment Before You Diagnose
An overall average can show when performance changes. Break the number down further to pinpoint where the difference is occurring before treating it as a clinic-wide throughput problem.
Compare performance by:
Time of day | Location | Provider | Visit type | Volume level | Diagnostic use
For example, a Journal of Urgent Care Medicine analysis found that visit duration generally increased as daily volume increased, but the pattern changed around 50 visits per day, when organizations commonly added another provider. Breaking the data down this way can help show whether longer visits are occurring across the clinic or primarily when demand begins to exceed available capacity.
Identify one or two signals that deserve a closer look and the conditions under which they change. You do not need to know the cause yet. The tests below can help you find where time or capacity is being lost.
Put It to the Test
Your performance signals can point you toward a potential constraint. These hands-on checks can help you follow the work through the visit and uncover delays that an overall throughput number may miss.
Find Your Clinic BottleneckChoose 20 patient visits and record when each reaches these major stages: Arrival → Registration Complete → Roomed → Provider Begins → Diagnostic Complete, if Applicable → Clinical Decision → Discharge Don’t try to fix anything yet. First, look for a pattern. Ask:
The goal is to identify the longest recurring delay and what the next step depends on, rather than assuming total visit time tells you where the problem is. |
Measure the Visit After the VisitFor one week, keep a simple tally of work that returns after discharge: Pharmacy Callbacks | Imaging Follow-Up | Referral Calls | Result Communication | Reopened Charts Door-to-door time ends when the patient leaves. Your team’s work may continue. At the end of the week, ask:
The goal is to identify capacity being consumed by encounters that appear complete in traditional throughput measures. |
Interpret What You Find
The patterns you uncover can point to different types of throughput constraints. Use what you found to decide where further investigation and improvement efforts should be focused.
Don’t Fix the Wrong Problem: Did the Work Disappear or Just Move?
A throughput problem can look solved when the work has simply moved somewhere else. A patient may technically be discharged while the provider still needs to review an imaging result, address a pharmacy problem, complete documentation, or communicate a follow-up result.
Before changing staffing or asking teams to move faster, ask:
Did we eliminate the work?
Did we make the work easier or faster?
Or did we move the work to another person or another part of the day?
Door-to-door time rises primarily when volume rises
Look for the first resource or process that reaches capacity. That may be registration, rooms, diagnostics, provider availability, documentation, or discharge. Focus improvement there before trying to speed up the entire visit.
A 2025 analysis of 2,710 urgent care locations using Experity EMR data found that volume explained only 18% of the variation in visit duration, while site-to-site differences persisted across volume levels. (Alan Ayers Urgent Care)
Door-to-door time is consistently high regardless of volume
Compare the stages you measured and identify the recurring delay that persists during lower-volume periods. A constraint that remains regardless of demand may point to a process, resource, or dependency that deserves attention throughout the day.
Overall visit time looks reasonable, but staff still feel overwhelmed
Look beyond discharge. Pharmacy issues, imaging follow-up, referrals, documentation, and other repeat touches may be consuming capacity after the visit appears complete. Focus on the most frequent source of preventable rework.
Diagnostic waits spike during particular parts of the day
Compare turnaround by time block. If the delay consistently occurs during the same period, investigate what changes then, including demand, staffing, service availability, or study mix.
One provider’s cycle time looks materially different
Investigate the context before treating the difference as a productivity problem. Patient complexity, visit type, documentation requirements, staffing support, and available resources can all affect cycle time. Current urgent care guidance recommends evaluating clinician productivity using this broader context. (Journal of Urgent Care Medicine)
Performance differs significantly by location
Investigate the outlier before making a clinic-wide change. Compare volume, staffing, patient mix, processes, diagnostic use, and other conditions that could explain the variation.
See What’s Possible
The constraints you identified can affect both how many patients a clinic can handle and how much work the team carries through each visit. These customer examples show what improved throughput can look like when specific sources of delay and administrative work are reduced.
15 Minutes Shorter Door-to-Door
Lansing Urgent Care reduced average door-to-door time by 15 minutes, reaching an average of 57 minutes while serving approximately 185 patients per day.
What it shows: Lansing’s results show that a high-volume operation can reduce total visit time when the processes supporting care can keep pace with demand.
Approximately 35-Minute Throughput
Gateway/Mercy reduced chart-completion time by 50% and achieved patient throughput of approximately 35 minutes.
What it shows: Gateway/Mercy’s results show how documentation efficiency can support provider capacity and overall visit flow.
Connect the ProblemThroughput reflects more than what happens inside the exam room. Patient access affects how prepared someone is when they arrive. Registration influences how quickly care can begin. Documentation and diagnostics affect what happens during the visit, while discharge and follow-up determine how much work remains after the patient leaves. Connecting those parts of the operation can reduce repeated work and help prevent a constraint in one area from simply shifting somewhere else. One Connected Platform for Urgent CareThe Experity Urgent Care Platform connects Patient Engagement, Patient Care, and Revenue Cycle capabilities around the urgent care journey, helping work and information move more efficiently from patient access through care delivery and beyond. Ready to see how Experity can help? |
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Keep Working on Your Operation
Throughput can be affected by what happens before, during, and after the visit. Choose another challenge to take a closer look at another part of your operation.
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