Requests go out built from faxes and copied-forward notes. Policies arrive as PDFs with nested exceptions and tables. LogicPearl checks one against the other at scheduling and returns ready, blocked, or missing evidence, with the chart page and the policy sentence for every criterion.
The MRI is in the chart, but it is 141 days old and the policy requires 90. The request is flagged before it goes out, with the records request drafted.
Physical therapy and medication trials are in the notes, but not the duration the criterion names. LogicPearl shows which sentence is short.
The order uses a brand name or an equivalent J-code the payer's system won't match. LogicPearl recognizes the equivalent and shows when it did.
Every policy version is kept, so a revision becomes a list of the scheduled cases it affects, before the date of service.
It adds one check to the workflow you already run.
Intake, routing, submission, status tracking, and reporting stay in the system you run today.
Faxes, scans, and handwriting, with every finding tagged by evidence state. Output from extractors you already run plugs in too.
Each result carries the criterion, the chart evidence, and the policy sentence, and lands back in the tool your team works in.
Published payer medical policies, converted into checkable criteria with verbatim source excerpts. The clauses the compiler couldn't cover are kept as visible review work, and policies without full support stay out of automatic checks.
Measured on the Blue Cross Blue Shield of Massachusetts policy corpus. The same coverage accounting can run against any payer policy set before a pilot starts.
Every criterion links to the packet span that satisfies it and the policy text that requires it. Conflicting evidence, such as left-side pain on one page and right-side pain on another, routes to review with both chart spans.
This is the live prior-auth demo, running in your browser on synthetic patients and published policy. Why exact rules instead of AI reading the policy each time? See the experiment.
A bounded batch of past cases in shadow mode: your cases, your payers' policies, a case-by-case readout.