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AAHAM Q4 '21

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Reduce its initial denial rate from 20% to 10%, what<br />

would be the financial impact?<br />

Image Source: Change Healthcare Infographic<br />

Additionally, Change Healthcare states that 65% of<br />

denied claims are never resubmitted, which indicates<br />

that organizations are also experiencing large amounts<br />

of lost revenue due to denials. Industry sources also<br />

suggest that almost 60% of claims rebilled after a denial<br />

will deny again.<br />

Let’s take a look at an example. If the cost of denials<br />

at XYZ Healthcare is around $75 per denied claim,<br />

and they submit 20,000 claims per month, it is likely<br />

that around 4,000 of those claims will deny (based on<br />

a 20% initial denial rate).<br />

This amounts to a cost of about $300,000 every<br />

month or $3.6 million in a single year!<br />

The organization’s total denied claims per month<br />

would fall to 2,000, representing an estimated cost<br />

savings of $150,000 each month. Said another way,<br />

every additional claim that is paid upon first submission<br />

becomes first pass reimbursement.<br />

This improves the organization’s cash<br />

flow, reduces revenue leakage, shortens the payment<br />

cycle, and even boosts patient satisfaction.<br />

Implementing a Successful Denial Prevention<br />

Strategy<br />

In an effective denial prevention program, every effort<br />

is made to prevent denials prior to billing. For<br />

example, edits built into the claim scrubber can stop<br />

at-risk claims before they result in denials. While<br />

this step does require a biller to clear the edit, stopping<br />

to make the necessary changes prior to billing<br />

keeps the payment cycle short.<br />

If the claim is stopped on day 1, it can be fixed and<br />

rebilled on day 2 and paid on day 16 or 17.<br />

Another part of prevention is looking at data trends<br />

and implementing process changes, edits, or change<br />

routines:<br />

Now if your organization has chosen to focus on prevention<br />

over follow-up, there’s good news for<br />

you. 90% of denials are preventable and occur most<br />

often in categories like medical necessity, eligibility,<br />

and demographic or technical errors.<br />

Financial Impact of Denial Prevention<br />

If XYZ Healthcare from the example above can implement<br />

an effective denial prevention program and<br />

5<br />

• If a large portion of total claim denials stem<br />

from medical necessity issues, how can your<br />

organization proactively address that? Is clinician<br />

education needed to ensure clinical<br />

documentation includes all necessary details?<br />

• If denials stem from front-end errors related<br />

to demographic information or eligibility,<br />

how can processes be improved to ensure this<br />

information is captured accurately and completely?<br />

Is training needed for front-end staff?<br />

Organizations who pay close attention to this type of<br />

denial data can nimbly pivot to address the root<br />

cause of denials in any area. Then, by continuing to<br />

monitor performance, leaders can determine whether<br />

the changes made are actually resulting in fewer denials.

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