Ambulance Mileage Loaded Origin Verifier
$424.85 in unbilled ambulance loaded mileage reimbursement recovered across across 2 items.
GPS verified 36.8 loaded miles vs 20.0 miles billed (16.8 unbilled miles x $14.50/mile = $243.60 underpayment under Chapter 15).
Method1Cross-referenced Computer Aided Dispatch (CAD) GPS transit odometer against 837 claim files.
2Generated Medicare adjustment claims with calibrated fractional mileage increments.
| Reference | Description | Unbilled_Revenue |
|---|---|---|
| RUN-303 | Severe Highway Transport Mileage Underbilling | $243.60 |
| RUN-301 | Inter-Facility Transport Mileage Underbilling | $181.25 |
Electronic Patient Care Report (ePCR) GPS odometer timestamps, plus ambulance billing 837 claim files
Loaded mileage underbilling correction worklist and Medicare rebilling schedule (Resolution Dossier, Findings Schedule)
Run Ambulance Mileage Loaded Origin Verifier free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,250 a month. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
Free scan. Pay only on cash recovered.
Run Ambulance Mileage Loaded Origin Verifier free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,250 a month.
On a sample file: $424.85 in unbilled ambulance loaded mileage reimbursement recovered across across 2 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Get a free scan
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.