Insurance
Insurance
You Own the Practice. Do You Know What Insurance Owes You?
In a solo practice, every denied, underpaid, or expired claim is your money — and most owners can't say how much they're losing. Here's the visibility gap, where the money actually goes, and how you finally see what insurance owes your practice without building a billing department.
The One Person Your Practice Can’t Afford to Lose
Every solo practice has the veteran who knows how every payer really behaves — and an owner who's quietly wondered what happens if they leave. Here's the dependency tax you're already paying, and how the payer knowledge becomes something your practice owns instead of something that can resign.
Your EOBs Leave the Building to Get Posted. They Shouldn’t.
The scan-and-send posting model exports your latency, your costs, and your visibility along with the labor. Here's how dental payment posting automation collapses it to one in-house step — documents read, reconciled against expected amounts, and posted the same day, with denials surfaced on day zero.
Your Collections Look Fine. Your Practices Are Still Leaking Revenue
Collections look fine until you see the leak underneath: denials around 15% and rising, appeal windows expiring inside unposted remittance piles, underpayments that look "paid," and payer knowledge living in a few heads. Here's where dental revenue leakage hides — and what closes it.
The Most Valuable Answer in Dental RCM Is “I Don’t Know”
Coverage determination isn't a model call — it's a data problem with two competing sources of truth and an obligation to be honest about uncertainty. Inside ELVA's RCM engine: derived payer-behavior rules, a judge that reviews every extracted rule, and a decision engine that abstains rather than guesses.
You’re Fixing Dental Claim Denials in the Wrong Place — Here’s Where Revenue Actually Leaks
When denials climb, everyone looks at billing — the wrong place. Most denials are born at check-in, days before the claim is filed. Here's how to reduce dental claim denials by fixing them upstream, where a thirty-second verification beats a costly rework cycle.