Literature DB >> 26896700

What Extrapolation Could Mean for Your Practice: A Legal Overview of Statistical Sampling in Overpayment and False Claims Act Cases.

Robert Salcido1, Emily Rubin2.   

Abstract

Auditors in Medicare overpayment or False Claims Act (FCA) cases often use statistical extrapolation to estimate a health-care provider's total liability from a small sample of audited claims. Courts treat statistical extrapolation differently depending on the context. They generally afford the government substantial discretion in using statistical extrapolation in overpayment cases. By contrast, courts typically more closely scrutinize the use of extrapolation in FCA cases involving multiple damages and civil penalties to ensure that the sample truly reflects the entire universe of claims and that the extrapolation rests on a sound methodological foundation. In recent cases, however, multiple courts have allowed the use of extrapolation in FCA cases. When auditors attempt to use statistical extrapolation, providers should closely inspect the sample and challenge the extrapolation when any reasonable argument exists that the sample does not constitute a reliable or accurate representation of all the provider's claims.
Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  health-care disparities; health-care utilization; law

Mesh:

Year:  2016        PMID: 26896700     DOI: 10.1016/j.chest.2016.02.637

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  1 in total

1.  Detecting fraud, waste, and abuse in substance use disorder treatment.

Authors:  Melissa M Garrido; David K Jones; Alexander Woodruff; Kiersten Strombotne; Sivagaminathan Palani; Sarah Zahakos; Michael Adelberg; Steven D Pizer; Austin B Frakt
Journal:  Health Serv Res       Date:  2022-08-19       Impact factor: 3.734

  1 in total

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