ASCERTAINING MEDICAID TPL

COB MEDICAID TPL OHI SYRTIS SOLUTIONS

ASCERTAINING MEDICAID TPL

The majority of Medicaid improper payments occur because of antiquated data systems that result in eligibility errors. As the Medicaid program has grown, determining primary commercial coverage, also referred to as Third Party Liability (TPL), has become significantly more complicated and challenging. By law, Medicaid plans are payers of last resort. This means if a beneficiary has health care coverage through any other third party, that third party must pay its legal liability first. If any liability remains, Medicaid plans will then pay. According to the Centers for Medicare and Medicaid Services (CMS), “States are required to take all reasonable measures to ascertain the legal liability of third parties to pay for care and services that are available under the plan.”

This rule has been in place since the Employee Retirement Income Security Act (ERISA) modified the Social Security Act in 1974. To this day, identifying TPL remains a difficult challenge. Coordination of benefits (COB) is no easy task. CMS explains that COB is accomplished by, “determining Medicaid benefits when an enrollee has coverage through an individual, entity, insurance, or program that is liable to pay for health care services.”

POINTS AT WHICH TPL IS IDENTIFIED

The discovery of liable third parties occurs at three points in the lifecycle of a Medicaid beneficiary. This discovery of unknown primary insurance coverage may occur in the course of the enrollment process, prospectively before claims are paid, and retrospectively after an improper claims payment has been made.

In the enrollment phase, applicants are approved and their self-reported TPL is verified and disclosed to the state. The primary challenge is that over 13% of the program’s population has unreported TPL. Applicants are often unaware of other coverage or fail to disclose it at the time of enrollment. At the point of service– when members are presenting insurance information to care providers– they might not furnish proof of primary coverage. The system is undoubtedly complex, and members may not realize that they have valid primary coverage, and even if they do, it is doubtful that they are familiar with the idea of payers of last resort. Compounding the confusion, the Medicaid population is in near-constant flux, with individuals becoming eligible and ineligible for services depending on a number of factors including income and disability status.

Once an applicant is enrolled, Medicaid plans attempt ongoing prospective identification of other insurance coverage. The challenges here are the same issues that are responsible for the high number of improper payments in the Medicaid program. That is, existing data mining and matching models are antiquated and need continuous verification. In some cases, a Medicaid plan uses an outside vendor to perform monthly eligibility checks in an effort to discover a Medicaid member’s TPL. However, the data available to these vendors suffer the same antiquation and inaccuracy problems. Though health plans make an effort to discover TPL in as timely a manner as possible, there are many hurdles.

The last point at which health plans can discover TPL is retrospectively after claims are paid in error. At present, pharmacy and medical claims reviews are profoundly retrospective, which creates a wide range of problems for improper payments. Consequently, a post-payment recovery process, known as ‘pay and chase,’ is needed to recoup the claims payments that were made in error.

Aside from simple mistakes at the point of service with providers, there are fundamental problems in the health care data used by the federal government that result in the loss of literally billions of dollars a year.

One of the major challenges facing Medicaid is the lack of quality eligibility data. In testimony before Congress in 2012, HHS Regional Inspector General Ann Maxwell gave an alarmingly unfavorable assessment relating to the reliability of data the federal government uses to detect overpayments and fraud in the Medicaid program. She explained, “much of the data used to identify improper payments and fraud is not current, available, complete, [or] accurate.

Determining primary commercial coverage is extremely difficult for payers of last resort. As a result of the complexity of COB, the near-constant flux in the program’s population, and bad quality eligibility data health plans rely heavily on retrospective identification and recovery. Unfortunately, this is costing Medicaid billions in waste. To coordinate claims correctly, payers of last resort must look to innovative data solutions that determine TPL before claims are paid in error.

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