---
title: "Accurate COB: A Matter of Time"
description: "Accurate COB: A Matter of Time"
image: https://blog.rsrit.com/hubfs/5-25InvestinaI-2.jpg
---

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# Latest Posts

# Accurate COB: A Matter of Time

[April 22, 2022](https://blog.rsrit.com/a-matter-of-time) [Reliable Software](https://blog.rsrit.com/author/reliable-software) [Analytics For Healthcare](https://blog.rsrit.com/tag/analytics-for-healthcare), [Analytics](https://blog.rsrit.com/tag/analytics), [Healthcare](https://blog.rsrit.com/tag/healthcare), [Data](https://blog.rsrit.com/tag/data), [COB](https://blog.rsrit.com/tag/cob)

![Accurate COB: A Matter of Time](https://blog.rsrit.com/hubfs/5-25InvestinaI-2.jpg)

There was a joke in the Soviet Union  that asked - *How can anyone predict the future when it's so hard to predict the past?*  While it was referring to the revisionist historical practices of the Communist Party, there is some truth about how the past changes.

Changing historical data presents a challenge to analytics.  

For example, in [health insurance](https://www.rsrit.com/insurance/) there is a *something* called [Coordination of Benefits](https://info.rsrit.com/coordination-of-benefits) (COB).  It is a complicated set of rules that determine who pays what portion of a claim when a person has more than one health insurance coverage at the same time.  Most health insurance companies are very effective at processing COB rules at the time a claim is submitted.  

But what if the past changes?  The existence of other coverage may not have been known when a claim was paid.  At is that at a later date, the health plan learns of the other insurance and must apply the change retroactively.

1. Claim systems are not 100% effective at finding all impacted changes. Claim systems are designed for throughput, not historical analysis.
2. There are costs to reprocess a claim.
3. The doctor or hospital will also incur costs reprocessing a claim and possibly cash flow concerns.

 Retroactive changes, particularly COB, presents a challenge for health insurance. Reliable Software's analytics platform, [Lia for COB](https://www.rsrit.com/lia-cob/), tackles these challenges head on.

Advanced analytic techniques are applied to historical data to identify recoverable claims that may have been missed.

Machine Learning scores the likelihood a person may have other coverage.  You can focus on members with a better chance of cost recoveries.

Over time, Lia will be able to predict the possibility a new member has other coverage.

To learn more on how Lia can help, [contact us](mailto:sales@rsrit.com).

[Role of SecOps in collaboration between IT Security and Operations](https://blog.rsrit.com/role-of-secops-in-collaboration-between-it-security-and-operations) [What is self-serve analytics and do you need it? Yes!](https://blog.rsrit.com/what-is-self-serve-analytics-and-do-you-need-it-yes-1)

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