Qui Tam Quarterly - Data on Defense: Invalidating FCA Allegations Based on Statistical Sampling and Extrapolation

K&L Gates LLP
Contact

Statistical sampling and extrapolation have become accepted tools for establishing damages in health care administrative proceedings and False Claims Act (FCA) litigation over the past 30 years.

Key Takeaways -

1. The government has been dramatically increasing the use of data mining to identify potential health care fraud and data analysis to support liability and damages in False Claims Act cases.

2. One of the primary tools the government uses to assert FCA liability and damages based on claims data is the statistical sampling and extrapolation process.

3. Understanding the legal standards and challenges to improper use of statistical sampling and extrapolation is critical to defending FCA allegations based on data analysis.

Please see full Newsletter below for more information.

LOADING PDF: If there are any problems, click here to download the file.

DISCLAIMER: Because of the generality of this update, the information provided herein may not be applicable in all situations and should not be acted upon without specific legal advice based on particular situations.

© K&L Gates LLP | Attorney Advertising

Written by:

K&L Gates LLP
Contact
more
less

K&L Gates LLP on:

Reporters on Deadline

"My best business intelligence, in one easy email…"

Your first step to building a free, personalized, morning email brief covering pertinent authors and topics on JD Supra:
*By using the service, you signify your acceptance of JD Supra's Privacy Policy.
Custom Email Digest
- hide
- hide

This website uses cookies to improve user experience, track anonymous site usage, store authorization tokens and permit sharing on social media networks. By continuing to browse this website you accept the use of cookies. Click here to read more about how we use cookies.