Work we take off your plate

Clear the patient credit refund backlog

Every patient credit needs the same careful review across several systems before money goes back. Clicks agents work the review, prepare the refund or transfer, and route exceptions to your team.

See where the hours go

Before a refund can move, someone checks the EHR, account notes, related encounters, insurance balances, open patient responsibility, bad debt, and prior refunds. Only then do they know whether the credit is real and whether to refund it, transfer it, or leave it alone.

The queue does not bring in new revenue, so it loses every priority call to claims and denials. The backlog grows, even though patients are owed the money and clients expect clean credit balances.

Why the queue never shrinks

01

A credit is not always a refund

The team has to prove it came from a real patient payment, not an adjustment.

02

Other balances come first

Open patient responsibility or bad debt on a related encounter may need a transfer instead.

03

It never feels urgent

Work that gives money back loses to work that brings money in.

Hand the repetitive path to Clicks

Clicks handles

  • Finds accounts with patient credit balances
  • Confirms the credit came from a real patient payment
  • Checks insurance balances and pending payer activity
  • Searches related encounters for open balances and bad debt
  • Prepares the refund request or the transfer under your rules
  • Routes exceptions for review with the account context attached

Your team keeps

  • Refund policy and approval thresholds
  • Refund authorization
  • Escalation rules
  • Final exception decisions

Questions, answered

Can AI process patient credit balance refunds?

Yes. Clicks agents follow the same checklist a trained analyst uses: confirm the credit came from a real patient payment, check insurance balances and related encounters, then prepare the refund or transfer. Exceptions are routed to your team with the context already collected.

Why not use a rules-based bot for refunds?

Refunds quickly outgrow if-then logic. The automation has to tell a true patient payment from an adjustment, check related encounters, and decide whether to refund, transfer, exclude, or escalate. That takes reading and judgment, not just clicks.

How do you roll this out safely?

In stages. Start with read-only review and classification, then drafted actions for human approval, then controlled updates for clean accounts, then exception routing with audit-ready notes, and only then a broader rollout.

Show us the work your team wants off its plate

We map the repetitive path, build the agent, and hand every exception back to your team.