Payors / utilization management
Many prior-auth requests are approved every time. Ana finds them so they can move out of the queue, and puts reviewers’ time on the few where the evidence is actually in question — with the member’s history attached.
Fixed scope: a year of auth requests and outcomes, run inside your cloud.
A year of requests and outcomes says which services are approved every time, for which providers. Ana finds them so your medical policy team can decide what moves to auto-approval — and what still needs a look.
Which services do we approve almost every time?
Office-based imaging and routine PT are approved over 96% of the time.
The requests that need a clinician need context: prior treatment, recent imaging, the policy criteria. Ana attaches the member’s history to each one, so the review starts with the facts, not a records request.
What does the reviewer need for request PA-88412?
Six weeks of physical therapy is documented; the recent MRI isn’t attached yet.
The review queue shrinks when the rules learn. Ana sends the always-approved services to medical policy, the overturned denials back to the reviewers who made them, and turnaround to the team that answers for it.
What should change in the queue this quarter?
42 services proposed for auto-approval; two denial patterns sent back for review.
Bring a year of auth requests, decisions and appeals. We join them inside your cloud and hand your UM team the services that don’t need review — and the ones that do.
Services and providers approved nearly every time, found from a year of decisions, for your policy team to decide on.
Days to decision by service and urgency, watched weekly against your targets.
Which denials get overturned, by service and reviewer, read back into the rules.
The member’s history and the policy criteria attached to each request that needs a clinician.
Approval, denial and turnaround metrics by service, ready for public reporting.
The providers whose requests are approved every time, shortlisted with their record.
No. Clinicians and your medical policy team make every decision. TextQL sorts the queue, attaches the evidence and shows which rules could change.