Maximizing your COB processes with integrated technology

Primacy and eligibility errors can lead to serious losses and expenses. By some estimates, a third of paid health claims contain errors, and as many as 15% of members have other insurance—representing a staggering $1 trillion in annual waste1. Paying for claims due to incomplete or inaccurate member eligibility not only costs your plan millions in higher payouts and administrative costs, these errors can also generate substantial downstream administrative costs and greatly impact your provider and member relationships.

While Coordination of Benefits (COB) is a common occurrence (the process of determining which plan pays for what portions of a claim), the challenges associated with addressing other insurance retrospectively lead to increased administrative costs and payouts. Plans must go beyond the traditional process of post-payment recovery to an expansion of prospective processes that identify potential primacy conflicts while still in the pre-payment stage.

Things to ask as you evaluate your COB processes:

  • How can we identify more instances of other coverage and maximize our savings from cost avoidance and recovery of overpaid claims?
  • Do we have the data mining technology and expertise to identify Medicare or other commercial coverage?
  • How do our COB processes compare to industry best practices?
  • How do we transition our COB program from recovery to cost avoidance?
  • How can we minimize member and provider abrasion while coordinating benefits?

Data mining, business intelligence, and analytics are at the core of today’s most successful payment integrity strategies, including COB. As part of our connected payment integrity approach, Discovery’s COB solution automates data integration across multiple sources, bringing it all together in a single database that allows for quick and accurate identification of claims and provider responsibility. This means frequently refreshed data with up-to-date information. In addition, predictive analytics and machine-learning technologies analyze and prioritize data, allowing us to flag and take a closer look at members with a high probability of having other coverage. Our goal is to identify and address primacy issues at the earliest possible stage—improving claims payment accuracy, building stronger relationships with providers, and reducing administrative expenses.

To learn how Discovery Health Partners has helped health plans drive cost savings and millions of dollars in recoveries, download our COB case study or visit our Coordination of Benefits solution page.

1 The Office of the Actuary in the Centers for Medicare & Medicaid Services (July 2015)
Ron JonesMaximizing your COB processes with integrated technology

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