Publication Results



Code: 04/2018
Title: Statistical Medical Fraud Assessment: Exposition to an Emerging Field
Date: Saturday 13th January 2018
Author(s) : Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
Download link:
Abstract: Health care expenditures constitute a significant portion of governmental budgets. The percentage of fraud, waste and abuse within that spending has increased over years. This paper introduces the emerging area of statistical medical fraud assessment, which becomes crucial to handle the increasing size and complexity of the medical programs. An overview of fraud types and detection is followed by the description of medical claims data. The utilization of sampling, overpayment estimation and data mining methods in medical fraud assessment are presented. Recent unsupervised methods are illustrated with real world data. Finally, the paper introduces potential future research areas such as integrated decision making approaches and Bayesian methods, and concludes with an overall discussion. The main goal of this exposition is to increase awareness about this important area among a broader audience of statisticians.

This report, or a modified version of it, has been also submitted to, or published on
International Statistical Review, doi: 10.1111/insr.12269 https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12269