Statistical Issues in Medical Fraud Assessment
Keywords
Statistical learning
Health Analytics
Code:
28/2013
Title:
Statistical Issues in Medical Fraud Assessment
Date:
Monday 24th June 2013
Author(s):
Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
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Abstract:
In this paper we provide a survey of the statistical issues in medical fraud assessment. We discuss different types of medical fraud and the type of fraud data that arise in different situations and give a review of the statistical
methods that use such data to assess fraud. We also discuss ”conspiracy fraud” and the associated dyadic data and introduce Co-clustering methods which have not been previously considered in the medical fraud literature.
In so doing, we present some recent work on Bayesian co-clustering for fraud assessment and its extensions. Furthermore, we discuss potential use of decision theoretic methods in fraud detection and demonstrate an example for evaluating fraud detection tools.