Blue Shield System

Predictive Analytics in Action: Discussion of Blue Cross Shield & Blue Shield from text. From the text is below: Blue Cross and Blue Shield System (BCBS), which provides healthcare insurance to nearly 33 percent of Americans, is a successful user of predictive analytics. It has established a database that contains more than 100 million medical claims. To control increasing medical costs, BCBS uses predictive analytics to identify the risk factors that led to several chronic diseases. It also uses predictive analytics to identify individuals who are at heightened risk of getting such diseases. The goal is to be able to use the data to get doctors to provide better, more targeted care for high-risk patients, reducing their need for expensive, long-term treatment. Match.com, an online dating service, is also a successful user of predictive analytics. The company collects data from subscribers during the registration process and also by monitoring subscribers’ interactions on the website. The goal is to find the best possible matches based on each subscriber’s preferences. Using predictive analytics, Match.com matches its members based on not just their expressed preferences, but by their behavior and interactions on the website.

Blue Cross happens to be the key health insurer in nearly every estate. Blue Cross manages at half the individual market and highest or level best third of the company’s market in a few states. The tie of Blue Cross conversions is actually bent by the biggest states BC of California and New York. Admit that alteration or modification maximize profit commission doesn’t in fact regulate the effect of these commission on how BC do actual accounts. As a whole the negotiations are fairly delicate due to non-profit insurer, which happens to be also under the financial