EVV for ABA therapy is electronic visit verification applied to sessions delivered in a client's home. Federal law does not require it for ABA. A small group of state Medicaid programs do require it, and several states switched from warning flags to automatic claim denials in 2026, so home-based practices need matching visit records now. What is EVV for ABA therapy? EVV stands for electronic visit verification. It's a digital check-in and check-out system that records who del

Two numbers from a sample ABA practice audit. 90+ days: collecting at 99.08%.0 to 30 days: collecting at 48.46%. Read that the way most people read an aging report, oldest first, and the practice looks outstanding. Nearly everything old has been collected, which is usually the hardest part of the job. Read it the other way and the picture inverts completely. That practice had stopped billing. The excellent 90+ numbers were residue from work done months earlier, and the collap

Almost every deadline in billing has a way out. Denied for auth, you appeal. Denied for coding, you correct and resubmit. Denied for eligibility, you rebill the right payer. Timely filing is the exception. Miss that window and the claim is gone. Not disputed, not pending, not worth a phone call. Gone. Which makes it strange how casually most practices arrive at the number. In one sample ABA audit, a ABA billing team had been working to a 90-day filing limit on a payer that wa

Open your AR report and read the comments column. Not all of it. Five notes, picked at random. For each one, ask a single question: could you set a deadline based on what this says? Most practices fail that test badly. In one sample ABA audit, 47 AR follow-up notes were scored and two of them had an expected payment date on them. Two. The other 45 described activity without ever committing to a checkable outcome. That's not a documentation problem. It's a collections problem

There's a category of lost revenue that no report in your billing stack is built to display. It isn't denials. Denials are visible, coded, and countable, and every billing system in the world has a screen for them. It isn't slow payers either, since those show up as aging balances you can watch and chase. It's the claims that were never filed at all. A visit happened. The session was documented. The service was billable. And then the claim didn't go out, and because it didn't

Most practice owners read their AR report the same way. Scroll to the collection rate, check it's above 95, close the file. That takes about four seconds and tells you almost nothing. Not because the report is wrong, but because the number at the bottom is an average, and averages are built to smooth over exactly the kind of problem you'd want to catch. Reading an ABA accounts receivable report properly takes about ten minutes and runs in a different order than most people us

You get an AR report every month. Aging buckets down the left, payers down the side, a collection rate at the bottom. It looks thorough. You skim it, the number is decent, you move on. That report is a summary. An ABA AR audit is an investigation. The difference matters because summaries are built to reassure and investigations are built to find things. Most ABA revenue cycle management problems don't announce themselves in a summary. They sit underneath a healthy-looking ave

Your billing report says you're collecting 98%. Good news, right? Maybe. A 98% collection rate can sit on top of claims that were never sent, notes that haven't changed in eight months, and a payer that's been denying you for a reason nobody caught. The number looks fine because it's an average, and averages are good at hiding things. SparkzABA is an ABA revenue cycle management audit built to find what the average is covering up. You send one AR export from your practice man

A provider can be fully booked with clients and still not generate a single paid claim. That's not a billing error. It's a credentialing gap, and it's one of the most common revenue leaks in ABA practices. ABA provider credentialing is the process of enrolling each clinician with each insurance payer so their sessions produce accepted, paid claims. When credentialing is incomplete, delayed, or lapsed, claims deny. The provider looks active on the schedule, but from the payer'

Most ABA claim denials are preventable. They trace back to something that happened before the claim was ever submitted: a benefit that wasn't verified, an authorization that lapsed, a provider who wasn't enrolled, or a demographic field no one updated at intake. Reducing ABA claim denials isn't about appealing faster. It's about seeing why each denial happened so the same gap doesn't reopen next month. When every denial has a root cause, an owner, and a deadline attached to i

ABA revenue cycle management doesn't start when you submit a claim. It starts the moment a new client walks in, and it runs through benefits verification, prior authorization, demographic updates, credentialing, documentation, claim review, denial management, and AR follow-up. Miss one step and the cost shows up later. A claim denies. An authorization expires. A provider turns out not to be billable. A client's insurance changed and nobody updated billing. Most practices don'

Most ABA patient intake software will get patients to stop filling out paper forms. That's the easy part. The harder part is finding a platform that does something useful with the data after it's collected. For ABA therapy practices and behavioral health providers, the features that matter most aren't the ones on the marketing page. They're the ones that connect directly to your billing cycle, protect your authorization workflow, and catch insurance problems before they becom

These two terms get used interchangeably in healthcare. They shouldn't be. A vendor showing you a form builder is not the same as a vendor showing you patient intake software. Buying the wrong one for your practice means paying for features you won't use, or worse, missing the ones that actually protect your billing cycle. If you're shopping for a digital intake solution and you're not sure what category you're looking at, this post breaks it down clearly. By the end, you'll

Small ABA practices feel the pain of bad intake processes more than anyone else. A large hospital system with 200 front desk staff can absorb the inefficiency of paper forms. A three-person ABA clinic cannot. When intake errors cause a claim denial, there's no separate denial management team to catch it. There's no billing department with spare capacity to chase corrections. There's whoever handles billing alongside everything else. That's why ABA patient intake software deli

Paper intake forms cost more than paper. That's the part most clinic administrators don't realize until they start connecting the dots between a clipboard in the waiting room and a denied claim six weeks later. The inefficiency is obvious: patients scribbling illegibly, staff retyping the same information, waiting rooms bottlenecked before the first appointment even starts. But the financial damage runs deeper than wasted time. ABA patient intake software replaces that paper-

If your front desk is still handing clipboards to new patients, you're not just creating a bad first impression. You're setting up your billing cycle for problems that won't show up until weeks later. Patient intake software changes how practices collect information before a single session takes place. And for ABA therapy practices specifically, that upfront data collection isn't just about convenience. It directly affects whether claims get paid. Here's how the software work

Every healthcare practice has a version of the same problem. A patient walks in, gets handed a clipboard, fills out the same forms they filled out last time, hands them back to the front desk, and then waits while a staff member manually keys that information into the system. It's slow, error-prone, and nobody enjoys it.

Most ABA clinics don't have a shortage of referrals. The faxes are coming in, pediatricians are sending families your way, school coordinators are passing along diagnostic reports. The problem is what happens to those referrals after they arrive. The right referral management software for healthcare should make the path from "referral received" to "first session scheduled" predictable. For most ABA clinics, that path is anything but.

Every ABA clinic manager knows the scenario. A referral comes in on a Tuesday, gets logged somewhere, and by the following Monday the family still hasn't heard back. No one dropped the ball on purpose. There just wasn't a system to catch it. Referral management software in healthcare was built specifically to close that gap, tracking every step from first contact to first session. But software alone isn't the whole answer. Understanding where time is actually being lost is wh

Your referral pipeline looks fine on paper. Pediatricians are sending names. Parents are calling. But somehow the schedule has gaps, the waitlist keeps growing in the wrong direction, and revenue falls short every month. In most ABA clinics, the problem isn't the number of referrals coming in. It's what happens after they arrive. Without referral management software in healthcare, organizations lose patients between the referral and the first visit and never know it. That gap