Home-care revenue recovery conversations tend to focus on denials: a payer rejected a claim, and now someone has to fix it. That framing misses a significant portion of where revenue actually goes. The bigger losses often happen before a claim is ever submitted, in the gap between what the caregiver delivered and what the billing system was told to bill.
Visit reconciliation is the process of checking whether those three numbers, scheduled, delivered, and billed, line up for each visit. When they do not, the agency is either leaving money on the table or running a compliance risk that may not surface until a payer audit. Most agencies do not run this comparison consistently, because it requires pulling data from at least three different systems and comparing them at the visit level. The agencies that do run it find discrepancies they did not expect.
The three-number problem
Scheduled hours: what was planned
A visit is scheduled when the coordinator builds the week's assignments in the scheduling system. The scheduled record shows the client, the caregiver, the date, the start and end time, and the authorized service type. It is a plan, not a record of what happened. In a well-run agency with stable caregiver availability and reliable clients, the schedule is usually close to what gets delivered. In a realistic agency, it is a starting point that changes constantly.
Caregiver callouts get covered by backup staff who may have different credentials or may not complete the full scheduled time. Clients refuse visits or shorten them. Late arrivals and early departures compress the actual care time below what the schedule shows. Each of those changes creates a potential discrepancy between scheduled and delivered hours.
Delivered hours: what actually happened
Under the 21st Century Cures Act, Medicaid-funded personal care and home health agencies are required to use electronic visit verification to capture what was actually delivered. The EVV record is the authoritative source for visit start time, end time, location, and caregiver identity. For billing purposes, it is the delivered hours figure that matters, not the scheduled hours.
When EVV is functioning correctly and the data flows into the billing system accurately, the delivered record is reliable. In practice, the handoff from EVV to billing is a consistent source of discrepancy. EVV systems and billing systems are often separate platforms. Data syncs happen on a schedule rather than in real time. When a caregiver corrects a time entry after the fact, the correction may or may not propagate into the billing record before the claim is built. A supervisor override of an EVV record may not trigger an update in the billing queue.
The risk cuts in both directions. If the delivered hours never make it into the billing system, the claim gets built from the schedule, which may be higher than what was actually delivered. That is an overbilling risk. If the EVV record was partial or missing because of a technical issue, the billing system may omit the visit entirely. That is a revenue loss.
Billed hours: what the payer was told
The billed record is what the billing system generated and submitted to the payer. It should reflect delivered hours, billing codes, modifiers, and the authorized service type. In a fully integrated workflow where scheduling, EVV, and billing share a common data layer, the billed record reliably reflects what was delivered. In a workflow where the three systems are separate and the billing team manually compiles visit data for claim submission, the billed record is only as accurate as the compilation process.
Manual compilation is error-prone not because billing staff are careless but because the volume of data is high and the systems involved are not designed to communicate. A week's worth of visits across a mid-sized agency might involve hundreds of individual visit records across multiple payers, service types, and authorization structures. The margin for transcription error, omission, and misattribution is real.
Where the gaps cost the most
Delivered but unbilled visits
The highest-dollar reconciliation gap for most agencies is visits that were delivered and verified in the EVV system but never made it into a claim. The caregiver checked in, provided the service, and checked out. The EVV data exists. But somewhere between EVV and billing, the visit fell out of the queue.
This happens most often when the EVV record has a flag on it: a location issue, a timing anomaly, a duplicate entry that required manual review. Visits in a flagged state sit in a billing exception queue rather than flowing into the normal claim-building process. If the exception queue is not worked consistently, those visits age out of their timely filing windows without a claim ever going out. The care was delivered. The documentation exists. The revenue is gone.
Partial-visit billing
Some home-care visits get delivered and billed, but at a shorter duration than what was actually provided. This can happen when the billing system pulls from an EVV record that was corrected after the claim was built, or when a caregiver's check-out time was entered incorrectly and the billing team used the original (shorter) time without verifying against the corrected record.
For hourly-rate services, billing a shorter visit means the payer pays for fewer hours than were delivered. The visit is closed, the payment posts, and the agency absorbs the difference permanently unless the discrepancy is caught and a corrected claim is submitted within the adjustment window.
Schedule-to-billing without EVV validation
Some agencies, typically smaller ones or those in the process of implementing EVV for the first time, still build claims from scheduling data rather than EVV data for some portion of their visits. This is a compliance risk if the payer requires EVV validation, but it is also a reconciliation risk regardless of compliance. The scheduled duration is the planned duration. It frequently differs from the actual duration. When billing is built from the schedule and the actual visit was shorter, the agency has billed for care that was not delivered. When the actual visit was longer, the agency has underbilled.
What a working reconciliation process looks like
The goal is to compare scheduled, delivered, and billed at the visit level before the claim closes, not after the remittance arrives. Catching a discrepancy pre-submission means the claim can be corrected before it goes to the payer. Catching it post-payment means the window for recovery is already running down.
A practical reconciliation check for each billing period asks three questions for every visit:
- Does the billed record match the EVV record? If the billed duration differs from the EVV-verified duration by more than an acceptable tolerance, it needs review before submission.
- Are there EVV records that have no corresponding billed claim? These are the delivered-but-unbilled visits. They have a timely filing window that is running.
- Are there billed claims with no corresponding EVV record? These are potential overbilling situations and a compliance exposure.
Running those checks manually at high volume is difficult. The agencies that do it consistently have either integrated their scheduling, EVV, and billing platforms well enough that the comparison is automated, or have built a reporting workflow that surfaces exceptions for human review at a frequency that keeps them within recoverable windows.
Visit reconciliation in the broader revenue picture
Visit reconciliation sits upstream of claim submission, which is why it does not always appear in billing-focused discussions of revenue recovery. By the time a claim is denied or underpaid, the reconciliation problem has already occurred. The denial is a downstream symptom of a data quality issue that started at the visit level.
For agencies looking to see the full picture of where margin disappears across the billing cycle, the guide on where home-care margin leaks maps all the main categories in one place. For the EVV compliance dimension of visit data quality, the guide on EVV claim denials covers the specific risk that non-compliant EVV records create at the claim level. For the payroll dimension, where caregiver hours paid do not match hours billed, see the guide on home-care payroll-to-billing reconciliation. For the full revenue-recovery playbook these gaps feed into, see home care revenue recovery.
The practical starting point for any agency that has not run a recent reconciliation is to pull 60 days of EVV records and compare them against the claims submitted for the same period. Look for visits with EVV records that have no corresponding claim. Look for claims where the billed duration is materially different from the EVV duration. The volume of exceptions tells you a lot about where your billing process is losing contact with your operational reality.
Reeve reads your EMR data read-only and runs the three-way comparison for every visit in your history. Free teardown, no commitment.