How to Automate CareCloud

CareCloud is bought for what it collects

CareCloud sells software, and it sells the people who run it. A practice can license the EHR and practice management and work its own billing, or it can hand the revenue cycle over and let CareCloud's teams do the coding, the claims, the follow-up and the collections. Plenty choose the second. Medical billing companies are customers too, running other practices' money through it.

That makes it a different sort of purchase from an EHR picked by a physician. It gets bought by an administrator, or by an owner who has looked at the days sitting in accounts receivable and decided the number is not going to fix itself.

The clinical side is there, with cirrusAI for documentation and Breeze on the patient-facing end. But the reason the contract gets signed is money arriving faster, and more of it arriving at all.

The A/R list is worked one website at a time

Open an accounts receivable worklist at any practice and it is claims that did not get paid, sorted by age. Working it is not analysis. It is browsing.

The claim from March showing as processed, where no money arrived. The one denied for a modifier, which means looking up the payer's remark code on their portal to find out what they actually objected to. The one never received at all, which means checking the clearinghouse to see whether it left. The one paid at less than the contract says, which nobody will notice unless somebody opens the fee schedule and compares.

Each is a different payer with a different site, a different login, and a session that times out while you are reading. A biller gets through so many an hour and the rest ages. Claims have filing limits and appeal windows, so the ones at the bottom of the list quietly stop being collectible while everybody is busy with the top.

CareCloud

Claim status read, not requested Every claim past thirty days looked up on the payer's own site, with the reason and the deadline written into one list.

Underpayments that get noticed What actually paid, compared against the contracted allowed amount, so short payments stop being free money for the payer.

Enrollment dates kept in view Provider enrollment and credentialing expiry checked on the sites that hold them, before a month of claims quietly denies.

cirrusAI drafts the appeal and a person still files it

CareCloud automates a great deal of this properly, and a practice on the platform should lean on all of it before adding anything.

Claims are scrubbed and submitted electronically, so most of the errors that cause a denial are caught before the claim leaves. Insurance eligibility verification runs up front. Payment posting handles ERA and EOB processing. Denial management and appeals, accounts receivable follow-up and patient billing and collections are all covered, as a service if you want it that way. cirrusAI Appeals reads the claim details, the denial reason and the payer, then drafts a customized appeal letter for somebody to review, edit and send.

That drafting is useful, and it is worth noticing exactly where it stops. The letter is written. Somebody still has to open the payer's portal, file it, and come back in two weeks to see what happened.

The same is true of the follow-up generally. The system knows what it submitted and what came back on the remittance. What it cannot see is the payer's own screen: the claim status that never generated a remittance, the appeal sitting at a level nobody checked, the fee schedule saying the allowed amount was higher than what landed.

Getting paid the contracted rate needs somebody to check

A claim status sits on a screen that opens for anyone with the login. The limit has always been how many screens fit into a day.

Every claim past thirty days checked on the payer's own portal, with the status, the denial reason and the appeal deadline read off the screen into a single list. Underpayments surfaced by comparing what paid against the contracted allowed amount, which is the money most practices never chase because finding it by hand costs more than it returns.

Filed appeals followed until they are decided, so a second-level window does not close while everyone assumes it is still pending. Remittance advice downloaded from each payer and filed against the right claim. Patient balances past sixty days assembled with the amounts and the ages on them.

Credentialing earns a mention here, because an expired payer enrollment silently denies every claim for that provider and nobody finds out for a month. Those expiry dates are readable on the sites that hold them.

The boundary is the same as anywhere in healthcare. Reading and assembling runs unattended. Filing an appeal, adjusting a balance or contacting a patient is prepared and waits for a person.

A billing office can work a night shift

Old claims do not get written off because nobody knew they existed. They get written off because there were more of them than there were hours, and the oldest ones were the least likely to pay.

WebRun is an AI agent that works a real Chrome browser, signed in as your billers are. It opens each payer portal and the clearinghouse, reads the status of every open claim, and leaves a worklist for the morning: what paid, what came back, what is short, and what closes this week.

It runs on your schedule in your own private environment, sessions are not shared between tools, and a workflow can be locked to an explicit list of sites. You can watch a run and stop it.

The workflows below are already built, and each one names what it opens.