Examining Predictive Modeling–Based Approaches to Characterizing Health Care Fraud
The Health Section Research Committee is pleased to make available a research report providing a systematic evaluation of the modeling methodologies and data samples used to characterize health care fraud. Also included is an Excel file with an inventory of articles and studies reviewed in the report. The material was authored by Jing Ai, Robert Lieberthal, Skyla Smith, and Rachel Wojciechowski.
The SOA would like to thank the following individuals for serving on the Project Oversight Group:
Joe Wurzburger, SOA Staff Fellow
Steve Siegel, SOA Research Actuary
Barbara Scott, SOA Sr. Research Administrator
Questions Or Comments?
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