Supercharge eligibility and estimates with a better payer intelligence engine
Each year, approximately 45 percent of Americans plan to change their coverage level, which has a cascading effect on their benefits, in- and out-of-network options and transparency into their patient financial responsibility.
All of these changes expose healthcare providers to potential front-end errors that can ultimately result in higher denial risk or non-payment from patients. Furthermore, as employees change jobs at a record pace and float in and out of exchanges, it's easy to see why accurate eligibility verification remains elusive for many providers.
In addition to patients changing plans, payers are continually updating member rosters and benefit databases. Payers have shifted much of the member experience and relevant benefit information to online payer portals, which leaves providers to rely on disjointed sources of information and outdated EDI solutions. What’s more, each payer approaches this differently despite established standards-based bodies like CAQH.
Today, it’s not just about whether a patient has coverage. Eligibility is based on specific benefit levels (i.e., copays, coinsurance), in- and out-of-network determination, authorization and deductible/out of pocket information for a specific care episode. It’s not surprising that front-end staff sometimes get it wrong.
Why eligibility is no longer a commodity and what providers must have to ensure eligibility is accurate
A real example of payer analysis
How providers are using purpose-built automation to do less manual work and still get more (and better) benefit rules coverage, and therefore estimation accuracy
Examples of provider use-cases with results
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