CATEGORY: health-insurance

Predictive Analytics in health insurance: Retain high value customers

Predictive Analytics in health insurance: Retain high value customers

Customers don’t contact their insurer to let them know that everything’s great or that they’re completely satisfied with their service. Rather, they call when they think something’s not right.

Read More
How to manage healthcare claim recovery

How to manage healthcare claim recovery

Most health insurer coordination of benefits (COB) models work on a claim-by-claim basis, identifying claims that may be incorrectly paid and flagging them for adjustment before moving onto the next claim. This works reasonably well, especially when powered by big data analytics, but is focused on the largest potentially-recoverable claims.

Read More
Payment integrity transformation with data analytics

Payment integrity transformation with data analytics

Health insurers have always faced a deceptively simple challenge: Paying just the claims that they should, in the appropriate amount. In practice, of course, this has been a deeply complex and important component of insurers’ businesses, with meaningful impact on their bottom lines.

Read More
The Unintended Bias of Data Driven Decisions

The Unintended Bias of Data Driven Decisions

Are data driven decisions influenced by Confirmation Bias?

Read More
Addressing Key

Addressing Key "Coordination of Benefits" Challenges with Data

According to the Census, over 20 percent of the population has more than one health insurance plan. Accurately identifying these individuals can lead to fewer errors in the coordination of benefits process, reduced administrative work for providers and potential cost recoveries for health plans, and analytics can help.

Read More
«
1 2 3
»
  

Subscribe to Email Updates

Recent Posts