Lamar's Performance Edge
Automated where it's certain. Human where it isn't.
Speed is the easy part. Speed you can defend to a pharmacist and to a CFO is the hard part. Here is what stops a wrong answer from reaching a patient or a claim.
Three workflows. Three built-in harnesses.
- PRIOR AUTHORIZATION
Denial checker
Every submission is checked against the payer's own policy before it goes out, not after the denial letter comes back three weeks later.
+11%first-time approvals - BENEFITS VERIFICATION
Uncertainty check
Coverage is confirmed at the source, not read back over the phone by a rep working from a screen they're not certain of either.
+5%more accurate than staff - FAX INTAKE
Dose, diagnosis and NPI check
Every faxed order is checked against the chart, dose, diagnosis and prescriber NPI, before anything is actioned.
>98%intake accuracy
How the model stays sharp.
- 01
Trained on your best people
Modeled on historical data and benchmarked against your best staff. It learns your best practices and your workflows, not a generic default.
- 02
Feedback loops built into the workflow
Corrections happen inside the workflow itself, so the model keeps improving without a new implementation project every time.
Ask us what it gets wrong.
We will show you the exception queue, not just the happy path, including what a failure looks like and who catches it. Five minutes to stand up and run your own referrals through it.
Request a Demo