Podcasts
Using Predictive Analytics to Detect Health Care Fraud
With estimates between $80 Billion and $150 Billion annually, the affects of healthcare fraud cannot be underestimated. Healthcare payers are faced with the ominous task of detecting fraudulent activities before they occur. This podcasts helps identify some of the questions healthcare payers have about how to better detect fraudulent activities before they occur to prevent unnecessary payments from being made.
Some of the questions addressed in this podcast are:
With estimates between $80 Billion and $150 Billion annually, the affects of healthcare fraud cannot be underestimated. Healthcare payers are faced with the ominous task of detecting fraudulent activities before they occur. This podcasts helps identify some of the questions healthcare payers have about how to better detect fraudulent activities before they occur to prevent unnecessary payments from being made.
Some of the questions addressed in this podcast are:
- What is unique about Healthcare fraud (as opposed to fraud in other industries)?
- How does predictive analytics help detect healthcare fraud?
- What should providers be aware of when looking for solutions to detect healthcare fraud?
About Anu Pathria
Anu is the Vice President of Healthcare Analytics at Fair Isaac Corporation, and oversees product development and operations. Prior to his current role, he has also held various analytic science positions at Fair Isaac, and has patented a number of analytic technologies developed for healthcare, financial and insurance fraud detection solutions. Anu also co-founded and served as Vice President of Product Development and R&D at Burning Glass Technologies, a company that applied predictive analytics and machine learning concepts to problems in the employment and human capital markets.
Anu is the Vice President of Healthcare Analytics at Fair Isaac Corporation, and oversees product development and operations. Prior to his current role, he has also held various analytic science positions at Fair Isaac, and has patented a number of analytic technologies developed for healthcare, financial and insurance fraud detection solutions. Anu also co-founded and served as Vice President of Product Development and R&D at Burning Glass Technologies, a company that applied predictive analytics and machine learning concepts to problems in the employment and human capital markets.
About Lyndsay Wise
Lyndsay is an industry analyst for business intelligence. After working as a senior research analyst at Technology Evaluation Centers (TEC), she went on to form her own analyst firm, WiseAnalytics. Lyndsay is a monthly columnist for DMReview and DashboardInsight and conducts research of leading technologies, products and vendors in business intelligence, master data management, and unstructured data. Before working as an analyst, Lyndsay assisted clients in business systems analysis, software selection and the implementation of of enterprise applications.
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