Healthcare Call Center Metrics: Definitions and Where Each Target Comes From
Every metric here arrives with a definition, a target, and the published source that target can be traced back to, so you can defend the numbers you bring to a budget meeting.
Written by the Commure Agents Team
Published: September 18, 2026
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13 min read
What You Need to Know
- Healthcare call center metrics count what happens on an inbound patient line: speed to answer, abandonment, first-contact resolution and handle time. Each is useful only when you record where its target comes from.
- Slower average speed of answer tracked lower odds of patients reporting they got urgent appointments as soon as needed, an odds ratio of 0.85. Abandonment rate showed no clear link to any patient-reported outcome.¹
- For a provider patient access center, the one audited standard comes from the Veterans Health Administration: 80 percent of primary care scheduling and pharmacy calls answered within 30 seconds, and no more than 5 percent unanswered.²
What are healthcare call center metrics, and which ones should you track?
Healthcare call center metrics count what happens on an inbound patient line. They measure speed to a live answer, callers who hang up, resolution on first contact, and time per call. A metric only becomes useful once you record where its target comes from.
Metric, target and benchmark are three different things
A metric is what you count, and a target is what you commit to. A benchmark is what someone else achieved and published. Separating the three tells you which numbers you can defend in a budget meeting and which ones you can only repeat.
Nine measures cover the ground for multi-location medical groups and regional health systems running a centralized patient access center. They fall into three groups:
- Access: average speed of answer, service level, abandonment rate, hold time
- Resolution: first-call resolution, average handle time, transfer and routing accuracy, repeat contact rate
- Capture: disposition capture, the share of calls with a recorded outcome
Which measures to prioritize depends on the call mix
A 2026 MGMA poll of 294 practice leaders found eligibility and prior authorization is the most time-consuming phone category at 45 percent.³ Scheduling followed at 31 percent, intake at 9 percent and prescription refills at 6 percent.³ A metric set built around bookings measures the smaller half of the work.
Phone access remains on the priority list
A December 2025 MGMA poll of 236 practice leaders ranked phone access third among 2026 patient access priorities, at 22 percent.⁴ No-shows and online scheduling ranked above it.⁴
How do you measure whether patients are reaching a person?
Four healthcare call center metrics describe whether a caller reaches a person: average speed of answer, service level, abandonment rate and hold time. Each one counts a different part of the wait. Only one of them has peer-reviewed evidence linking it to what patients report about their own access.
Average speed of answer counts queue time
It measures the wait from entering the queue until a person picks up. It is computed on answered calls only, so it excludes the callers who left.
Service level is a pair of numbers
It is the share of calls answered inside a stated threshold, written as 80/30 for 80 percent within 30 seconds. A service level quoted without its threshold cannot be compared.
Abandonment rate counts the callers who left
It is the share who hang up before a person answers. A short-abandon window, which excludes callers who drop within the first few seconds, changes the figure, so record the window next to the number.
Hold time is measured after the answer
It counts the wait once a person has picked up, and it is a separate figure from average speed of answer.
Speed of answer has peer-reviewed evidence linking it to patient-reported access
Patients at VA facilities in the slowest average-speed-of-answer quartile were less likely than those in the fastest quartile to report getting urgent appointments as soon as needed.¹ The association was an odds ratio of 0.85, with a 95 percent confidence interval of 0.76 to 0.95.¹
For abandonment, the same study returned a null result
It reported that "the regression results did not demonstrate a clear, significant relationship between AR [abandonment rate] and any of the 5 outcomes."¹ Treat abandonment as a capacity signal rather than as a measure of patient access.
The study covered 252,145 patients across 285 VA facilities in fiscal years 2015 and 2016.¹ Average speed of answer fell from 87 to 69 seconds over that period, and abandonment from 12.0 percent to 8.3 percent.¹ The result is an association in a veteran population rather than a causal finding.¹
How do you measure whether the call got resolved?
Four measures describe whether the call finished: first-call resolution, average handle time, transfer and routing accuracy, and repeat contact rate. A fifth, disposition capture, is the share of calls with a recorded outcome and decides whether the other four can be computed.
First-call resolution needs two definitions before it needs a target
Decide whose judgment counts a call resolved, the agent's or the patient's. Decide the repeat window, because a call counted as resolved at seven days may not be at thirty.
Average handle time has three components
It is talk time plus hold time plus after-call work. Name which of the three are included, or the figure cannot be compared between systems.
Routed quickly and routed correctly are separate qualities
Transfer and routing accuracy counts the share of calls that reached the right team on the first attempt.
Repeat contact rate tests resolution from the caller's side
It is the share of callers who call again about the same issue inside a stated window.
Disposition capture is the prerequisite for the other four
It is the share of calls with an outcome recorded in the system of record. Where it is low, first-call resolution and repeat contact rate are estimates rather than measurements. Commure AI Call Center Agents record a disposition and a full transcript on every call they handle, which keeps capture near total on the automated share.
An integrated system that publishes a service-level standard can still miss the resolution half. The 2019 VA study noted that the VHA "does not collect data on other telephone access measures, such as the number of transfers, first-call resolution, and average talk time."¹
Patient-side instruments measure something different
Call-level satisfaction surveys and the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) access composite report what the caller experienced rather than what the queue did. Use those scores as internal trend lines, since no published healthcare standard sets a target for them.
Turning a missed resolution number into a change in the queue is the subject of healthcare call center best practices.
Which healthcare call center metrics have a defensible target, and where does that target come from?
For a provider patient access center, two healthcare call center metrics have a current target drawn from a published standard that an inspector general has audited.² For hold time, call length and first-call resolution, the figures in circulation trace back to one opinion column from 2012.
A published standard is more useful than an industry average because it can be audited. The Veterans Health Administration standard for its clinical contact centers calls for at least 80 percent of primary care scheduling and pharmacy calls answered within 30 seconds.² No more than 5 percent of calls should go unanswered.²
The 30-second threshold is scoped to those two call types
Clinical triage carries a separate standard of 80 percent within 120 seconds.² Quoting the 30-second figure across a whole center applies it to call types outside its scope.
The gap between that standard and actual performance is documented service line by service line.
The agency that set the standard publishes its own audit against it
In fiscal year 2024, the scheduling service ran an estimated 11 percent of calls abandoned, and neither scheduling nor pharmacy met the 30-second timeliness standard.² Of the 17 contact centers reviewed, only three met both standards; the other 14 averaged about 13 percent abandonment and answered about 57 percent of their calls within 30 seconds.² That 57 percent is the shortfall of the centers that missed, not a national figure for the scheduling line.² Clinical triage answered 82 percent within 120 seconds and stayed just under 5 percent abandonment, the only service line meeting both parts.²
Where the circulating hold time and call length figures come from
Anyone assembling a scorecard will run into these numbers in vendor material, so it is worth knowing what sits behind them.
**Four figures circulate as HFMA benchmarks.**⁵ They are:
- Call length of seven to eight minutes
- Hold time of 50 seconds
- Abandonment of 15 percent
- First contact resolution of 100 percent
All four come from one question-and-answer column
It is an "Ask the Expert" column published on October 25, 2012 and updated on November 29, 2022.⁵ The respondent was a director at a revenue cycle vendor, answering a reader's question.⁵
Keep those four figures out of a scorecard and out of any contract that names a service level. One practitioner's answer to a reader's question is an opinion rather than a survey or a standard.
The evidence base behind these targets is small
It holds one published, audited service-level standard² and two peer-reviewed studies, each run inside a single integrated delivery system, one at the VHA¹ and one at Kaiser Permanente Colorado.⁶ The published record stops there: it contains no peer-reviewed benchmark set for the remaining metrics and no peer-reviewed study linking abandoned calls to revenue.
Why do center-wide averages hide the problem, and how should you segment?
Segmentation separates populations whose behavior differs enough that one average conceals them. Cut every measure four ways: by call reason, by line, by time window and by patient risk stratum. One center-wide figure per metric can hold steady for a year while one of those cuts fails.
Cut by call reason, because each call type carries different work
In the 2026 MGMA poll, eligibility and prior authorization accounted for 45 percent of the most time-consuming phone work.³ Scheduling accounted for 31 percent.³ An eligibility call and a reschedule have different natural lengths, so an average handle time across both describes neither.
Cut by line, because an aggregate can hide a failure
A center can meet its service level overall while a specialty line goes unanswered. Report each line against the same threshold instead of reporting the roll-up.
The daily figure smooths the peak away
Report speed of answer for the busiest hour alongside it, because the peak is what patients actually experience.
Effect sizes vary across a population, so cut by risk stratum
A 2018 randomized trial across 25 primary care clinics and 54,066 patients tested appointment reminder schedules.⁶ No-show rates came out like this:⁶
The population-wide comparison moved 1.4 percentage points, and the high-risk quartile moved 4.5.⁶ A report built only on the average would have shown the smaller number and missed the stratum where the change landed.
**The trial tested outbound reminders, and the transferable finding is about stratification.**⁶ Pick the strata before you set the target, since a target set on the average can be met while a stratum inside it misses.
What has to be in place before any of these numbers are trustworthy?
Four conditions have to hold, beginning with a platform that emits the data and a stable, written definition. The disposition has to reach the patient record, and the recordings you score have to be handled as protected health information.
The platform has to produce the data
A February 2026 advisory memorandum from the VA Office of Inspector General reviewed 15 facilities.⁷ Thirteen of them lacked essential call data on specialty care lines.⁷ Nearly 1 million of 2.1 million call attempts from August 2024 through July 2025 lacked critical call data.⁷ When a measure is missing from a report, check whether that reflects a decision or a reporting limit.
Write the definition down and keep it stable
A first-call resolution rate whose repeat window changes silently produces a line on a chart that is not a trend. Keep three things next to the number:
- The definition in force
- The exclusions applied
- The date the definition last changed
The disposition has to reach the record
A call settled on the phone but never documented in the chart is unmeasurable, and downstream it is unbillable. Disposition capture is the measure that tells you how often that happens.
Recordings and transcripts used for scoring are protected health information
HHS guidance limits the conduit exception to transmission-only services.⁸ A vendor that stores call recordings is therefore a business associate.⁸ The signed business associate agreement (BAA) comes before any data moves. The agreement itself, and the safeguards that sit behind it, are what a HIPAA compliant answering service has to carry.
Stratifying patients with a clinical decision support tool can carry a standing duty
Section 1557 puts that duty on recipients of federal financial assistance that use patient care decision support tools, meaning tools that support clinical decision-making.⁹ They must make reasonable efforts to identify uses of patient care decision support tools that rely on race, color, national origin, sex, age or disability as an input.⁹ Mitigating discrimination risk from those tools is part of the same duty, and compliance has been required since May 1, 2025.⁹
Healthcare call center metrics are only as good as the system producing them. A group adding locations needs a reporting layer that absorbs the added volume rather than one that stops reporting at the edges.
What do Commure AI Call Center Agents make measurable on an inbound patient line?
Every call Commure AI Call Center Agents handle leaves a record, and that record is what separates a reported number from an estimated one. Customers can view call activity, call success status and full call transcripts, along with agent-level activity and outcomes.
Disposition capture comes as a by-product on the automated share
Commure Agents populate EHR records as part of the workflow, so the outcome reaches the chart instead of stopping at the phone report. First-call resolution and repeat contact rate become computable on those calls rather than inferred.
The transcript is the scoring base
Quality scoring on handled calls does not rest on a sampled review. Because those transcripts carry patient data, Commure is HIPAA compliant and the BAA is signed before any data moves.
Scope decides what is measurable
Commure Agents answer frequently asked questions, take intake, and confirm, schedule, reschedule and cancel appointments within configured rules. They route callers to the right internal team by intent, which is routing rather than clinical triage. They handle inbound calls only, and complex calls escalate to staff. The platform integrates with eClinicalWorks, athenahealth, Epic, ModMed, MEDITECH and AdvancedMD, and other systems are scoped for feasibility.
Vendors across the AI voice agents in healthcare category differ in what they expose to reporting, so ask what a record of a call contains.
Request a complimentary call center health analysis to see what your healthcare call center metrics look like once the underlying calls are classified. The analysis reviews a week of transcripts and metadata under a signed BAA. Within about a week, it returns call volume by type, length, category and outcome, plus rep-by-rep scoring and a model of where automation would help.
Sources
- Griffith, K. N., Li, D., Davies, M. L., Pizer, S. D., & Prentice, J. C. (2019). Call center performance affects patient perceptions of access and satisfaction. American Journal of Managed Care, 25(9). https://www.ajmc.com/view/call-center-performance-affects-patient-perceptions-of-access-and-satisfaction
- U.S. Department of Veterans Affairs, Office of Inspector General. (2025, October 8). Review of clinical contact centers to assess leadership and oversight (Report 25-00228-214). https://www.vaoig.gov/sites/default/files/reports/2025-11/vaoig-25-00228-214_final.pdf
- Harrop, C. (2026, March 11). Phones are still a bottleneck costing medical practices time they can't afford. MGMA Stat. https://www.mgma.com/mgma-stat/phones-are-still-a-backlog-costing-medical-practices-time
- Harrop, C. (2025, December 10). Patient access priorities for 2026: Tackling wait times, phones, no-shows and more. MGMA Stat. https://www.mgma.com/mgma-stat/patient-access-priorities-for-2026
- Chrapla, S. (2012, October 25; updated 2022, November 29). Ask the expert: Setting industry standards for call center activities. HFMA. https://www.hfma.org/revenue-cycle/kpis/7256/
- Steiner, J. F., Shainline, M. R., Dahlgren, J. Z., Kroll, A., & Xu, S. (2018). Optimizing number and timing of appointment reminders: A randomized trial. American Journal of Managed Care, 24(8), 377–384. https://www.ajmc.com/view/optimizing-number-and-timing-of-appointment-reminders-a-randomized-trial
- U.S. Department of Veterans Affairs, Office of Inspector General. (2026, February 19). VHA facilities' collection and oversight of specialty care call data (Preliminary result advisory memorandum, Report 25-03621-68). https://www.vaoig.gov/reports/preliminary-result-advisory-memorandum/vha-facilities-collection-and-oversight-specialty
- U.S. Department of Health and Human Services, Office for Civil Rights. (2016). Guidance on HIPAA & cloud computing. https://www.hhs.gov/hipaa/for-professionals/special-topics/health-information-technology/cloud-computing/index.html
- Office of the Federal Register. (n.d.). 45 CFR Part 92: Nondiscrimination in health programs or activities. Electronic Code of Federal Regulations. https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-A/part-92
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