Study Questions Billing for Part B Laboratory Services
A July study of billing practices in the clinical laboratory industry conducted by the Health and Human Services Office of Inspector General (OIG) may drive laboratory compliance billing policy and audit focus for the coming years. The OIG’s Office of Evaluation and Inspections (OEI) performed the study reportedly due to concerns about increases in Medicare […]
A July study of billing practices in the clinical laboratory industry conducted by the Health and Human Services Office of Inspector General (OIG) may drive laboratory compliance billing policy and audit focus for the coming years. The OIG’s Office of Evaluation and Inspections (OEI) performed the study reportedly due to concerns about increases in Medicare payments that did not align with increases in enrollment. According to the study, from 2005 through 2010 Medicare enrollment increased by 10 percent while lab spending increased by 29 percent. Medicare paid $8.2 billion for Part B lab services in calendar year 2010. Unfortunately, a study like this—by its own admission—is based solely on claims data and cannot be used to detect fraud and abuse or even criminal activity; it can only point out anomalies in the data that may require further scrutiny. The real value of this study will be demonstrated when the identified labs are reviewed and the claims data is evaluated against the actual billing activities of any given lab. It is unlikely the industry will ever be afforded the opportunity to know if the conclusions of this study really do predict labs that are more likely participating in fraudulent activities than not. Meantime, even though the OIG states very clearly that the study does not actually identify labs that are doing something improper but only labs that may require more scrutiny, the way the results are portrayed to the public and to Congress by the media and others makes it appear as if the lab industry is rife with fraud and abuse and that hundreds of labs are committing some kind of inappropriate billing of government programs. This is an unfortunate outcome at the least. The purpose of this article is not to rehash and re-report the results of the study. Anyone can read the report for themselves or read articles that summarize the information in the study. The purpose of this article is to point out the meaning and the potential impact this will have on the industry and to give compliance officers and laboratory administrators ideas about how to respond and use the information in the study to prepare for the additional scrutiny labs will be subject to as a result. A Very Brief Overview The study consisted of a review and analysis of 145.6 million Part B lab claims for services to 23 million Medicare beneficiaries from 94,609 individual labs representing allowed payments of over $7.25 billion. The study concluded that 1,032 of the labs reviewed exhibited questionable billing and should be subject to further review. The OIG also cited other reasons for performing the review, including other studies it has performed on lab billing going back to 2000. The report provides details of how the study was conducted, how the measures were applied, and how the conclusions were reached. It also provides examples, using unidentified actual labs, of problematic scenarios uncovered as a result of the study. It may be here that the industry can derive some benefit. If a lab analyzes its own billing data using the criteria detailed in the report, it can determine if its own billing data indicates questionable billing practices. Measures That Define Questionable Billing The heart of the study is the metrics or measures used to identify questionable billing. From the claims data reviewed, the OEI reviewers developed 13 measures that could be used to compare lab to lab. If any of the labs reviewed exceeded calculated thresholds for five of the 13 measures, that lab was considered as exhibiting a questionable billing pattern warranting further review. How the calculations were done is included in some detail in the study report. The 13 measures used were as follows:
- High average allowed amount per claim;
- High average number of claims per beneficiary;
- High average allowed amount per beneficiary;
- High average number of claims per ordering physician;
- High average allowed amount per ordering physician;
- High percentage of claims for beneficiaries with no associated Part B services with the ordering physician;
- High percentage of claims for beneficiaries living more than 150 miles from the ordering physician;
- High percentage of duplicate lab tests;
- High percentage of claims with invalid ordering physician numbers;
- High percentage of claims with ineligible ordering physician numbers;
- High percentage of claims with compromised beneficiary numbers;
- High percentage of claims with compromised ordering physician numbers; and
- Compromised lab provider number.
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