How Advanced Analytics Serve Healthcare

An analytics initiative focused originally on a single task can spawn an enterprisewide, cyclical approach to data-driven decisions based on advanced analytics. Consider what is being done in healthcare today, and how organizations are moving from base -- or descriptive -- analytics toward more advanced modeling, such as linear regression, neural networks, and predictive modeling.

Suppose your analytics initiative starts with a focus on combatting healthcare payment fraud. Now consider how those same tools can apply to so many other applications throughout the organization -- sales, claims processing, even medical affairs. It's a model that can be carried out in any number of companies and sectors.

Doug Cedras retired last year as Director of the Corporate and Financial Investigations department of Blue Cross Blue Shield of Michigan.  Now, he is an independent consultant for health care fraud, waste and abuse issues. Cedras joins All Analytics Conversations to discuss how advanced analytics can drive efficiency and better decision making throughout a healthcare organization, and what those in other industries can learn from innovations in healthcare analytics.

In this event you will learn:

• About the path from base analytics to advanced analytics
• How to create an enterprise culture of analytics
• How companies like Blue Cross are combatting fraud
• How to gain maximum value from a robust data analytics solution and machine learning