Codice 04/2018 Titolo Statistical Medical Fraud Assessment: Exposition to an Emerging Field Data 2018-01-13 Autore/i Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R. Link Download full text Pubblicato International Statistical Review, doi: 10.1111/insr.12269 https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12269 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.