Average Handle Time in Healthcare: Benchmarks for 2026

The average handle time in a healthcare contact center is approximately 6.6 minutes, according to research published by the National Library of Medicine. Federal benchmarks land nearby: the VA requires clinical contact center schedulers to keep AHT at eight minutes or less. The right target for any single organization depends on call type, specialty mix, and complexity.

That number is high compared to retail, banking, or travel, and that is not a failure. It reflects what actually happens on these calls: insurance verification, EHR documentation, clinical routing, and conversations that carry real emotional weight for the patient onthe other end.

Still, every health system leader needs a reference point, and federal data offers some of the clearest published AHT benchmarks available anywhere. This article breaks down the numbers behind average handle time in healthcare, explains why AHT healthcare targets differ from every other industry, and shows how to bring handle time down without rushing the interactions that deserve time.

What Is AHT in Healthcare?

Average handle time (AHT) measures the total average duration of a patient interaction, from the moment the call connects to the completion of all administrative work afterward. It is calculated by adding total talk time, hold time, and after-call work, then dividing by the number of interactions handled in that period.

In a healthcare setting, several components push that number around:

•      Time the patient spends on hold while the agent retrieves records or consults clinical staff

•      Time spent navigating and updating the electronic health record (EHR)

•      The complexity of the patient's inquiry, from a simple reschedule to a multi-provider referral

•      Compliance and verification steps required on every interaction

•      The speed, or lack of it, of the organization's software systems

Most industries treat a lower AHT as an unqualified win. Healthcare cannot. A number driven down by rushing patients through sensitive conversations is a worse outcome than a slightly higher number that reflects accurate triage and complete documentation. That tension is exactly why benchmarks matter: they tell you where the line between efficiency and corner-cutting actually sits.

What Is a Good AHT for a Healthcare Contact Center?

A good AHT for most healthcare contact centers falls in the six-to-eight-minute range. Research published by the National Library of Medicine puts the healthcare average at 6.6 minutes, a figure that holds remarkably steady across contact centers of different sizes.

Federal benchmarks tell a similar story. In fiscal year 2024, the VA required schedulers at all of its clinical contact centers to maintain an average handle time of no more than eight minutes, covering both talk time and after-call work such as updating the veteran's record. Before that standard was centralized in 2023, individual VA call centers set their own goals. The Atlanta VA medical center, for example, chose six minutes.

The gap between six and eight minutes is not sloppiness in the data. It reflects real variation by call type and specialty. Dermatology and ophthalmology tend to involve fewer insurance complexities and denials than oncology or behavioral health, which changes hold time, talk time, and after-call workload. A single universal target across all queues is a sign the benchmark was chosen for convenience, not accuracy.

AHT also means very little in isolation. Read it alongside the metrics that reveal whether speed is coming at a cost:

•      First contact resolution (FCR) rates

•      Patient satisfaction scores and post-call surveys

•      Agent accuracy and documentation quality

•      Service level and abandonment rates

•      Staff engagement and turnover

If AHT drops while FCR drops with it, calls are not getting faster. They are getting repeated.

Why Is AHT Higher in Healthcare Than in Other Industries?

Healthcare AHT runs high because the calls themselves are clinically complex, emotionally charged, and heavily regulated. Retail measures transaction speed. Healthcare measures safe resolution, and the two are not the same discipline.

Clinical complexity

Many patient calls require triage that cannot be rushed without risking improper care routing. Verifying prescriptions, dosages, and potential drug interactions takes meticulous, step-by-step work. Patients managing chronic or multiple conditions need more time to relay their history, and agents need more time to review it responsibly.

Fragmented systems

Agents routinely toggle between the EHR, scheduling tools, billing platforms, and insurance authorization systems that were never designed to work together. Every swivel between screens adds seconds, and those seconds compound across hundreds of daily calls. Much of what looks like an agent performance problem is actually a systems integration problem wearing a headset.

The efficiency trap

Pushing agents to end calls faster reliably backfires. Patients who feel rushed call back, which lowers first contact resolution, inflates total call volume, and drags satisfaction scores down. The organization ends up spending more total minutes per resolved issue than it did before the crackdown.

What Happens When Contact Centers Miss Their AHT Benchmarks?

Missed AHT benchmarks rarely travel alone. They show up alongside understaffing, long waits, and patients giving up entirely, and federal oversight data shows exactly how that spiral looks in practice.

A VA Office of Inspector General review of the Atlanta VA medical center's call center found that from July through September 2023, 30 percent of callers abandoned their calls against a 5 percent standard, and only 22 percent of answered calls were picked up within 30 seconds against an 80 percent standard. Average wait time ran about seven minutes. The OIG attributed the failures primarily to understaffing and coverage gaps during breaks and peak hours, but handle time was part of the picture: 11 of the center's 34 fully trained staff, or 32 percent, missed the six-minute handle-time goal, with averages ranging from 6.3 to 8.7 minutes per call.

The mechanics are simple. Every extra minute of handle time keeps an agent out of the queue, which lengthens waits, which drives abandonment. For a health system, each abandoned call is a delayed appointment, an unresolved billing question, or a patient who decides to seek care somewhere else. Handle time, staffing, and abandonment are one system, and a benchmark miss in any of them stresses the other two.

How Can Health Systems Reduce AHT Without Compromising Patient Care?

The way to reduce average handle time responsibly is to remove the minutes that add no clinical or human value, and leave the rest alone. Two approaches do the most work.

The first is taking routine volume off the phone lines entirely. AI agents can handle scheduling, refill requests, and billing questions end to end, around the clock, without a patient ever waiting in a queue. Every routine call resolved by automation is a call that never touches the AHT calculation, freeing human staff for the complex, sensitive interactions that genuinely need them.

The second is making the remaining human-handled calls faster at the points where time is being wasted. A unified view that surfaces patient data and interaction history from the EHR eliminates the searching and screen-swiveling that quietly inflates handle time. When the AI is built directly on the health system's own EHR data and decision logic, agents get answers that match established operational workflows, so speed never comes at the expense of accuracy.

Neither approach asks agents to talk faster or patients to explain less. Both attack the structural waste instead.

Treat AHT Benchmarks as a Compass, Not a Quota

The published benchmarks for average handle time in healthcare, roughly 6.6 minutes on average with federal targets between six and eight, are reference points, not report cards. Use them to spot structural problems: fragmented systems, understaffed queues, routine volume that should never reach a human agent. Then fix the structure rather than pressuring the people inside it.

Health systems that get this right serve more patients with the staff they already have, and patients feel cared for instead of processed.

Book a demo with SpinSci to see how AI agents bring handle times down while protecting the interactions that matter most.

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