Accuracy

Keeping Established Patient Records Current

The address, insurance and pharmacy that changed and nobody asked about.

The address, insurance and pharmacy that changed and nobody asked about.

Practices verify everything for a new patient and almost nothing thereafter. Insurance changes annually for a large share of patients, and the first sign is usually a denied claim months later.

What goes wrong today

Practices verify everything for a new patient and almost nothing thereafter. Insurance changes annually for a large share of patients, and the first sign is usually a denied claim months later.

What good looks like

A light re-verification at a sensible interval — enough to catch a payer change, not so much that it annoys the patient at every visit.

  • Re-verification at a defined interval, not every visit
  • Insurance change caught before the claim
  • Address and pharmacy confirmed periodically
  • Changes written back as structured fields

What to measure

Agree these before changing anything, so the effect is visible rather than argued about.

  • Denials from stale coverage data
  • Returned statements
  • Share of active patients verified in the last year

Where we stand: Available now

Handled on inbound calls today.

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?

Handled on inbound calls today.

How do we know if this is our biggest gap?

The Front Desk Opportunity Scan ranks this against every other area using your own volumes.

Keep going on MedReception.ai

MedFrontDesk.ai is the playbook library. MedReception.ai is the platform that runs it.

More in Intake