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Practice Operations Amit Patel

Cut Insurer Hold Time Without Adding Staff

A desk telephone handset hanging freely off its base, suggesting the act of being freed from hold calls

$7,500 to $15,000 a year can go toward front desk labor spent waiting on insurers. Ask a coordinator at an independent practice what consumes the day, and "being on hold" is usually near the top. Eligibility checks, claim questions, prior authorizations, and denial appeals all enter insurer phone queues designed to be hard to navigate.

Before we started Octozi, we spent years building operational systems for health organizations. Insurer hold time appeared in every discussion of front desk burnout. A rough benchmark for small practices is 1.5 to 2.5 hours each day of staff time spent waiting on calls or working through insurer phone trees. At $20 to $25 per hour for a front desk coordinator, that equals $7,500 to $15,000 annually in fully-loaded labor spent waiting. It excludes the value of work staff could have completed instead.

Across our early-access practices during the 2024 to 2025 pilot period, the biggest reductions came from two separate process changes. Neither involved hiring staff. Both were within reach for practices with a moderate level of operational discipline.

Process Change One: Verify Eligibility the Night Before

Eligibility verification accounts for many insurer calls. A patient arrives, active coverage is not confirmed in the EHR or portal, and the front desk calls the insurer in real time. On a busy morning, several such calls quickly compound the wait and make the waiting room feel the strain.

The first change is straightforward, though it depends on consistency: verify the next day's appointments in an evening batch instead of waiting until check-in. Overnight clearinghouse checks leave coverage either confirmed or flagged by the time patients arrive. Staff begin the day knowing which visits may have coverage problems, giving them time to prepare or contact patients ahead of time.

Overnight batch verification has been available for years through most clearinghouses. The obstacle is habit. Check-in verification feels natural because the patient is present and the need feels urgent. Moving the work to the evening means trusting the overnight result and reviewing exceptions before the day begins, not during patient flow.

At one early-access practice, moving from in-workflow checks to evening batches cut morning hold calls by roughly half. The calls that remained involved genuinely unclear coverage and needed human judgment. That is where staff time should be concentrated.

Process Change Two: Split Claim Status from Other Calls

Claim status is the other major source of hold time. A biller may need to know whether a claim submitted three weeks ago was processed, where it sits in adjudication, or why payment has not posted. These calls often enter the same queue as complex prior authorizations, even though a representative can usually answer them in two minutes after taking the call.

Many payers support electronic claim status checks through the X12 277CA transaction, either via clearinghouses or payer portals. Coverage is not universal, and some portals are so difficult that calling seems faster. For payers in a practice's mix that provide dependable electronic status checks, using that channel instead of the phone cuts hold time without reducing the information received.

The second part is a scheduling habit: a claim status question does not always require an immediate call. Grouping inquiries for one payer into one call session is more efficient when calls remain necessary. A biller asking about eight claims in one call spends about the same hold time as one asking about a single claim, but resolves eight items instead of one.

These ideas are not new. Revenue cycle consultants have advised batch verification and claim status batching for years. The sticking point is implementation discipline, not awareness.

Why These Changes Matter Most

Other tactics can also reduce insurer hold time. Practices can use payer callbacks, choose prior authorization portals when they are actually faster than calling, and send persistent claim problems to payer provider relations instead of repeatedly using the standard queue. Each provides some benefit.

We chose these two because eligibility and claim status represent the largest call volumes, and because they change the structure of the work rather than making small optimizations. Batch verification moves the work to a different time. Status batching changes its organization. Both reduce the number of hold sessions, the main source of total hold time.

These changes do not remove hold time altogether. Prior authorization often still requires insurer phone contact, and the wait for those calls is outside the practice's control. Practices with heavy prior authorization volume will continue spending significant time there, regardless of how efficiently they handle other insurer calls. Results vary by payer mix and workflow.

The Automation Role

Automation can support both changes, but it cannot replace the discipline needed to adopt them. Automated eligibility checks run overnight whether or not someone remembered them the previous evening. Electronic claim status queries reduce the status calls made by phone. However, if exceptions from the overnight check are not routed for review before morning patient flow, the check runs without producing practical time savings.

Lasting reductions in hold time come from combining process discipline with automation. Either one alone is weaker. Discipline without automation depends on staff behavior, which can shift with turnover and workload. Automation without discipline runs as designed but leaves the conditions behind the hold-time problem unchanged.

At Octozi, eligibility checks run nightly against the following day's schedule, with exceptions placed in a pre-day review queue. Billing staff see those exceptions before the practice opens, rather than when a patient reaches check-in. That sequence turns the potential time saving into an actual one. In our early-access program, the practices with the largest reductions were the ones that adopted the pre-day review habit, not merely those that enabled automated checking.

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