Determining whether an authorisation is required, assembling the documentation, submitting it, and tracking it to a decision.
Prior auth is long, repetitive and invisible to the patient, who only knows their procedure has not been scheduled. It is frequently a full role in a mid-sized practice, and the work is almost entirely rules plus document assembly — which is what makes it automatable in principle.
What goes wrong today
Prior auth is long, repetitive and invisible to the patient, who only knows their procedure has not been scheduled. It is frequently a full role in a mid-sized practice, and the work is almost entirely rules plus document assembly — which is what makes it automatable in principle.
What good looks like
Requirement checks per payer and procedure, documentation gathered from the chart, submission tracked to a decision, and denials queued for a human with the reason attached.
Payer-specific requirement rules
Clinical documentation assembly from the chart
Submission and status tracking
A denial queue with reasons, not just rejections
What to measure
Pick these before you change anything, so the effect is visible rather than anecdotal.
Staff-hours per week on authorisations
Median days to decision
Denial rate and top denial reasons
Procedures delayed pending authorisation
Where we stand: In development
In development, and the most-requested thing we do not yet ship.
Rollout checklist
Document how this is handled today, and by whom.
Put a number on the hours or dollars involved.
Decide which cases must always reach a person.
Agree the metrics you will judge success on.
Frequently asked questions
Do you solve this today?
In development, and the most-requested thing we do not yet ship.
How do we work out whether this is our biggest gap?
The Front Desk Opportunity Scan estimates the hours and revenue behind each area from your own volumes and ranks them against each other.
Keep going on MedReception.ai
MedFrontDesk.ai is the playbook library. MedReception.ai is the platform that runs it.