Successful Medicare Claim Appeal
After receiving an enormous demand for reimbursement based on a statistical extrapolation, it may be possible to get the extrapolation thrown out by the Administrative Law Judge (ALJ) for a Medicare claim reversal.
If this occurs, you won’t have to pay the large extrapolated amount, but may need to pay only for any individual claims that have been ruled to be invalid, an amount that usually is much smaller.
How do you get this situation to be reversed in your favor? Barraclough Health does it by using an accurate statistical methodology rather than let the results of the inaccurate methodology used by RACs stand.
In this Barraclough Health Medicare Claims Reversal Case Study, we show how using our statistical methodology saved the client $1,297,700 dollars.
Medicare ZPIC Claims Demand
Dr. X received a Medicare reimbursement demand for approximately $1,300,000 dollars.
But the auditor (the ZPIC) had examined only 35 of the thousands of Dr. X’s claims.
- Of these 35 claims, they had rejected 17 of them.
- The value of those claims was approximately $2,300 dollars.
Dr. X then contacted Barraclough LLC.
Barraclough’s VALID Statistical Methodology
Barraclough’s expert team completed an extensive analysis of the 4 statistical methodology used by the ZPIC, a formidable task.
The Barraclough team checked:
- all of the calculations that were made
- the details of how the sample was taken
- the formulas that were used in picking the sample size
By doing this extrapolation, the general pattern of decisions was revealed.
The Barraclough team found that the contractor had made many errors in their work, including:
- Manufactured data was an essential part of the calculations used in determining the needed sample size.
- Picking sample sizes is not an arbitrary act – there should be a method behind it.
- One of the formulas that is needed to determine sample size requires an input representing the underlying variation in the variable being estimated.
- For an over payment analysis, this would mean that it is necessary to understand the underlying variation in the over payments.
- The only way to get this information is to analyze a number of claims to make a measurement.
But the contractor had skipped this step entirely, and had simply manufactured this number, plugged it into the formulas, and decided to use a sample size of 35.
- When the Barraclough Team double-checked the calculations, we put the correct number into the same formulas and found that the required sample size was more than 100 times larger.
- During the hearing the contractor admitted that they had failed to make the required measurement.
- After finding many other problems with the statistical work, it was possible to conclude that the contractor had failed to use an acceptable statistical methodology.
ZPIC Work Falls Short of Standard
Since the MPIM (Medicare Program Integrity Manual) requires that a valid statistical methodology must be used, we were able to show that the work of the ZPIC had fallen short of the standard.
Result: Medicare Claim Reduced Significantly
The extrapolation was thrown out by the ALJ.
Instead of having to pay the extrapolated amount of approximately $1,300,000 dollars, Dr. X. ended up paying approximately $2,300 dollars, a difference of $1,297,700.
Please contact Barraclough Health (email to email@example.com) to reverse Medicare and Medicaid audits.