[MapR Talk] Using Hadoop to Detect Fraud, Waste and Abuse in Healthcare Claims

Document created by aalvarez on Dec 1, 2015Last modified by aalvarez on Dec 7, 2015
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Overview

In an effort to help grow organic communities interested in new technologies, MapR speakers around the world provide technical talks on numerous topics. Please browse our MapR Talks Directory  to learn how to search and request a talk in seconds.

 

Abstract

Healthcare fraud analytics have traditionally lagged behind advances in commercial fraud detection, but recent Big Data innovations have narrowed that gap. This session will enumerate the unique challenges presented by Payment Integrity analytics and focus on how our customers are leveraging Hadoop to face those challenges.

 

KEYWORDS: Healthcare, Data Science, Anomaly Detection, Deep Learning, Graph Analytics, Data Lake, Multi-tenancy

 

Location Availability & Request Link

North America. Please refer to theMapR Talks Directory  for specific countries.

You can request this talk here: Speaker Request

 

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