HARRY S. MATTICE, JR., UNITED STATES DISTRICT JUDGE
Before the Court is Defendant's Motion for Partial Summary Judgment (Doc. 140). For the reasons stated hereafter, Defendant's Motion will be
As a preliminary matter, the Court notes that Defendant is only seeking summary judgment as to the Government's use of statistical sampling for Counts I and II of its Consolidated Complaint in Intervention. See Doc. 152 at 7. Thus, the Court will not address the merits of the Government's identified false claims under the False Claims Act ("FCA") or its claims for unjust enrichment, payment by mistake, and conversion. Additionally, as Defendant is seeking a legal determination solely regarding the use of statistical sampling in cases brought under the FCA, the parties do not dispute the material facts relevant to this determination. The Court will provide a brief background of the allegations
The Court summarized the procedural posture of this action as well as the allegations set forth in the Government's Complaint in its March 26, 2014 Order on Defendant's Motion to Dismiss:
(Doc. 153 at 2-12).
The Court ultimately denied Defendant's Motion to Dismiss in its March 26, 2014 Order. (Doc. 153). On February 18, 2014, the Government filed a Motion to Partially Exclude the Testimony of Stefan Boedeker (Doc. 135); Defendant filed a Motion to Exclude the Expert Testimony of Constantin T. Yiannoutsos (Doc. 137) on February 18, 2014. Also on February 18, 2014, Defendant filed the instant Motion for Partial Summary Judgment (Doc. 140). On June 18, 2014, the Court held a hearing on Defendant's Motion for Partial Summary Judgment, and the parties presented argument in support of their positions. (Docs. 172, 176).
The parties agree that the Government will not undertake a claim-by-claim review of every claim filed within the relevant time frame. Rather, the Government seeks to use a random sample of 400 admissions from 82 Life Care facilities "from January 1, 2006, until October 31, 2012, where Medicare was the primary payer [and] more than 65% of those facilities' rehabilitation therapy days were at the Ultra-High Resource Utilization Group... level of reimbursement." (Doc. 141-3 at 3). The Government intends to extrapolate from this sample to make "estimates on the total number of claims which were submitted for non-covered services and the total amount of overpayments made by Medicare." (Id.). From these facilities during this time period, the entire sample universe to which the sample would be extrapolated is 54,396 patient admissions, comprising 154,621 total claims. (Id.). As there are no disputes as to material facts relevant to the issue of whether statistical sampling may be used to prove the number of claims in a FCA action and the loss associated with those claims, the Court can resolve this issue on summary judgment.
Federal Rule of Civil Procedure 56 instructs the Court to grant summary judgment "if the movant shows that there is no genuine dispute as to any material fact and the movant is entitled to judgment as a matter of law." Fed.R.Civ.P. 56(a). A party asserting the presence or absence of genuine issues of material facts must support its position either by "citing to particular parts of materials in the record," including depositions, documents, affidavits or declarations, stipulations, or other materials, or by "showing that the materials cited do not establish the absence or presence of a genuine dispute, or that an adverse party cannot produce admissible evidence to support the fact." Fed.R.Civ.P. 56(c)(1). As previously noted, when ruling on a motion for summary judgment, the Court must view the facts contained in the record and all inferences that can be drawn from those facts in the light most favorable to the nonmoving party. Matsushita Elec. Indus. Co., Ltd. v. Zenith Radio Corp., 475 U.S. 574, 587, 106 S.Ct. 1348, 89 L.Ed.2d 538 (1986); Nat'l Satellite Sports, Inc. v. Eliadis Inc., 253 F.3d 900, 907 (6th Cir.2001). The Court cannot weigh the evidence, judge the credibility of witnesses, or determine the truth of any matter in dispute. Anderson v. Liberty Lobby, Inc., 477 U.S. 242, 249, 106 S.Ct. 2505, 91 L.Ed.2d 202 (1986).
The moving party bears the initial burden of demonstrating that no genuine issue of material fact exists. Celotex Corp. v.
In its Motion for Partial Summary Judgment, Defendant argues that the Government cannot satisfy its burden of proof through evidence based on statistical sampling and extrapolation. In Response, the Government asserts that statistical sampling is used in a number of evidentiary contexts, "including both criminal and civil fraud cases" and is "essential" to the instant case due to the large number of claims. (Doc. 152 at 7). For the Court to make a determination regarding whether statistical sampling is appropriate in the instant case, it must first review the history of the FCA and principles of statistical sampling.
The FCA was originally adopted by Congress in order to stop "the massive frauds perpetrated by large contractors during the Civil War." United States v. Bornstein, 423 U.S. 303, 309, 96 S.Ct. 523, 46 L.Ed.2d 514 (1976). Contractors looted the federal treasury and created a "windfall profit" through fraudulent interactions with the government. See United States ex rel. Newsham v. Lockheed Missiles & Space Co., Inc., 722 F.Supp. 607, 609 (N.D.Cal.1989) ("For sugar [the government] often got sand; for coffee, rye; for leather, something no better than brown paper; for sound horses and mules, spavined beasts and dying donkeys; and for serviceable muskets and pistols, the experimental failures of sanguine inventors, or the refuse of shops and foreign armories")(quoting Tomes, Fortunes of War, 29 Harper's Monthly Mag. 228 (1864)). On account of these transactions, the government faced "rampant fraud in Civil War defense contracts," and, in 1863, Congress adopted the FCA and President Abraham Lincoln signed it into law. S. REP. No. 99-345, at 8, reprinted in 1986 U.S.C.C.A.N. 5266, 5273 ("Senate Report").
The version of the FCA adopted in 1863 provided that the government would receive payment for double the damages suffered by the false claim, as well as a $2,000 forfeiture per submitted claim. The FCA was amended in 1943 and 1986 to better suit the needs of the growing economy.
The FCA has evolved over time, both through these amendments and the developing body of case law, and the current version permits the government to recover treble damages as prescribed by statute and civil penalties ranging from $5,000 to $11,000 per false claim. United States ex rel. Hobbs v. MedQuest Associates, Inc., 711 F.3d 707, 714 (6th Cir.2013); 28 C.F.R. § 85.3(a)(9). While the end penalty remains similar to the original text, the legislative history of the FCA is clear that the FCA has evolved with the ever-changing landscape of technology and new methods and mechanisms for committing fraud. For example, the FCA was amended in 1986 because the "growing pervasiveness of fraud necessitate[d] modernization of the Government's primary litigative tool for combatting fraud." Senate Report at 2. Congress found the amendment to be necessary on account of the increase in fraud against the government, which was indicated by (1) the increase in fraud investigations; (2) the number of defense contractors under investigation for fraud offenses; (3) the amount of public money estimated to be lost to fraud; and (4) the failure of employees to report fraudulent activity. The amendments to the FCA represent "a long history of repeated congressional efforts to walk a fine line between encouraging whistle-blowing and discouraging opportunistic behavior." Sanderson v. HCA-The Healthcare Co., 447 F.3d 873, 876 (6th Cir.2006) (quoting United States ex rel. Karvelas v. Melrose-Wakefield Hospital, 360 F.3d 220, 225 (1st Cir.2004)).
Despite the recent amendments to the FCA and its increased use as a litigative tool, fraud remains a serious issue for government programs, including the Medicare program. The United States Government Accountability Office ("GAO") reported that for 2012, "the Medicare program covered more than 49 million elderly and disabled beneficiaries at an estimated cost of $555 billion, and reported improper payments estimated to be more than $44 billion." U.S Gov't Accountability Office, GAO-13-283, High Risk Series: An Update (2013). The Senate Report recommending the 1986 Amendments discussed the ongoing problem of fraud by describing it as "pervasive" and "costly to the Government due to a lack of deterrence." Senate Report at 3. Specifically, the Report cited the GAO's conclusion that "most fraud goes undetected due to the failure of
The FCA imposes liability on any person who, among other things, knowingly presents the United States with a false or fraudulent claim for payment. See 31 U.S.C. § 3729. It also enables private individuals to bring suits for violations of § 3729 in the Government's name. 31 U.S.C. § 3730(b). As the Medicare program has grown, one of the primary uses of FCA actions has been "to combat fraud in the healthcare field." Chesbrough v. VPA, P.C., 655 F.3d 461, 467 (6th Cir. 2011).
In the instant case, the government brings two counts under the FCA, one for making a false statement or record that is material to a false or fraudulent claim and one for making a false or fraudulent claim. For a person to be civilly liable for making a false statement or record, he must (1) knowingly make, use, or cause to be used a false record or statement; (2) with actual knowledge, deliberate indifference, or reckless disregard of the information; and (3) the record or statement must be material (having a tendency or being capable of influencing the payment or receipt of money or property) to a false or fraudulent claim.
The general purpose of statistical sampling is to "provide a means of determining the likelihood that a large sample shares characteristics of a smaller sample." United States v. Rosin, 263 Fed. Appx. 16, 29 (11th Cir.2008) (citing Laurens Walker & John Monahan, Sampling Evidence at the Crossroads, 80 S. Cal. L.Rev. 969, 973-74 (2007)). In order "to draw reliable conclusions" about the sample universe, the statistical sample must be of a sufficient size to support the conclusions. In re Countrywide Fin. Corp. Mortgage-Backed Sec. Litig., 984 F.Supp.2d 1021, 1033 (C.D.Cal.2013). Given that the nature of a statistical sample is to draw an inference from the sample to the larger population, statisticians account for any discrepancies by calculating a margin of error. Generally, when a sample method "defines an appropriate population, uses a probability method for selecting the sample, has a high response rate, and gathers accurate information on the sample units, ... the sample tends to be representative of the population." David H. Kaye and David A. Freedman, Reference Guide on Statistics, in Reference Manual on Scientific Evidence 211, 226 (3d ed. 2011) ("Reference Guide on Statistics").
Litigants have attempted to use evidence in the form of sampling as early as the 1920s. Elgin Nat. Watch Co. v. Elgin Clock Co., 26 F.2d 376, 377 (D.Del.1928). Over time, statistical sampling has become commonplace in certain types of litigation. In re Chevron U.S.A., Inc., 109 F.3d 1016,
In the context of the FCA, as will be discussed more thoroughly infra, statistical sampling has been generally limited to determine damages, rather than liability. United States v. Cabrera-Diaz, 106 F.Supp.2d 234, 240 (D.P.R.2000) (providing an overview of federal circuit courts that have permitted statistical sampling in this context). One of the reasons that courts permit parties to use statistical sampling in cases regarding fraud against the government is that, "in view of the enormous logistical problems of [enforcement of government programs], statistical sampling is the only feasible method available." Illinois Physicians Union v. Miller, 675 F.2d 151, 157 (7th Cir.1982); United States v. Fadul, 2013 WL 781614, at *14 (D.Md. Feb. 28, 2013) ("Courts have routinely endorsed sampling and extrapolation as a viable method of proving damages in cases involving Medicare and Medicaid overpayments where a claim-by-claim review is not practical").
When statistical sampling has been permitted, courts have placed the burden of evaluating the weight of a statistical sample on the fact finder. State of Ga., Dep't of Human Res., 446 F.Supp. at 410. While the proponent of sampling may argue that the sample permits the fact finder to draw an inference regarding the sample universe, the opposing party can challenge the sample through cross-examination of the proponent's expert, presentation of its own expert, as well as other competing witnesses and evidence. See Michigan Dep't of Educ. v. U.S. Dep't of Educ., 875 F.2d 1196, 1206 (6th Cir.1989). The fact finder must then consider the evidence, including the risk of uncertainty and the size of the sample, in determining its weight.
To this point, the use of statistical sampling in FCA cases has been limited. However, as the Medicare program grows and the FCA is used to combat fraud within the program, the government has sought to use statistical sampling as a means to use the FCA with respect to ever-larger quantities of claims. In their briefs, the parties have highlighted several of the cases in which a court has permitted or declined to use statistical sampling to prove claims brought under the FCA.
In support of its position-that statistical sampling cannot be employed to establish liability for FCA claims-Defendant first relies on a District of Massachusetts case, United States v. Friedman, No. 86-610-MA, 1993 U.S. Dist. LEXIS 21496 (D.Mass. July 23, 1993). Similar to the
Defendant also argues that a Western District of Oklahoma case, United States ex rel. Trim v. J.D. McKean, is analogous to the instant case. (Doc. 141 at 21). In Trim, Midwest City Hospital ("MCH") used a coding system named Emergency Physicians Billing Services ("EPBS") to bill for services provided to patients. 31 F.Supp.2d 1308, 1312 (W.D.Okla.1998). EPBS was established by J.D. McKean, the director of the Emergency Medicine Department at MCH, to bill and collect for physicians' claims. The system relied on the good faith of the physicians providing the medical services as well as the coders assisting with reimbursement. Id. A qui tam suit was brought under the FCA against EPBS and J.D. McKean alleging that unnecessarily higher billing codes were used and justified by physicians' charts. After the suit was commenced, audits were performed by Pennsylvania Medicare, Medicaid in Oregon and Arizona, and other benefit programs. The court considered whether to use the audits as a statistical sample of the universe of fraudulent claims, but found the audits to be "insufficient." Id. at 1314. The audits were deemed insufficient for the following reasons:
Id. The Court also noted that many of the charts were "completely illegible and, in some cases, [did not] appear to be written in English." Id. Despite the insufficiency in the nature of the audits, the Court ultimately found that the audits contained "persuasive" evidence of false claims, and that the "documentation which supports the audits, combined with the multitude of improper billing practices ... require[d] the conclusion that inflated codes found in
As part of its Response to Defendant's Motion — to show that statistical sampling is proper in the instant case — the Government has cited to the following types of cases: (1) appeals from administrative agency decisions; and (2) cases in which statistical sampling has been used to establish the amount of damages. The Court will discuss in turn why each of these types of cases are distinguishable from the instant case.
Appeals from administrative agency decisions are distinguishable from the instant case because they are considered by an appellate court under a different standard of review. Specifically, under the Administrative Procedure Act, a reviewing court will only set aside an agency's action if "it finds that the actions were arbitrary, capricious, an abuse of discretion, or otherwise not in accordance with the law." Dressman v. Costle, 759 F.2d 548, 555 (6th Cir.1985) (quoting 5 U.S.C. § 706(2)(A)). The United States Court of Appeals for the Sixth Circuit has characterized this review as a "narrow one," and has observed that the reviewing court "is not empowered to substitute its judgment for that of the agency." State of Mich. v. Thomas, 805 F.2d 176, 182 (6th Cir.1986) (quoting Citizens to Preserve Overton Park v. Volpe, 401 U.S. 402, 416, 91 S.Ct. 814, 28 L.Ed.2d 136 (1971)); Am. Fed'n of State, Cnty. & Mun. Emp., AFL-CIO, Greater Cleveland Dist. Council 78 v. City of Cleveland, 484 F.2d 339, 348 (6th Cir. 1973) ("To suggest that other methods might have been better employed to achieve the results sought by the limitation is to substitute the judgment of the reviewing court for that of the administrator of the Act. This is not permitted."). Given the level of review and the discretion granted to the agency action, the Court does not find the use of statistical sampling as addressed in these cases to be persuasive regarding the propriety of the use of statistical sampling in a claim brought under the FCA.
Unlike the standard of review in an appeal from an administrative agency decision, in order to sustain a claim under the FCA, a plaintiff must prove the elements of a false claim by a preponderance of the evidence. 31 U.S.C. § 3731(d); United States. ex rel. Roby v. Boeing Co., 100 F.Supp.2d 619, 625 (S.D.Ohio 2000) aff'd, 302 F.3d 637 (6th Cir.2002). This standard of review has been defined as "such evidence as, when considered and compared with that opposed to it, has more convincing force and produces in [one's] mind[] belief that what is sought to be proved is more likely true than not true." Williams v. Eau Claire Pub. Sch., 397 F.3d 441, 444 (6th Cir.2005). The Court considers the administrative agency appeals cases as narrowly instructive as to how statistical sampling can be used in a similar context. However, while these cases provide insight on the possible uses of statistical sampling, the Court can only view the holdings of the cases themselves within the context of the knowledge that they were considered under a quite different standard of review.
Administrative agency decision appeals are also distinguishable because using statistical sampling to determine overpayment amounts is explicitly authorized by
From the Government's standpoint, this serves as an example that statistical sampling has been authorized as an evidentiary tool in the administrative context. However, from Defendant's perspective, the legislature has not included such a provision in the FCA, leaving the issue of whether statistical sampling is appropriate under the FCA open to interpretation. Under either interpretation, it is clear that these cases are decided under a distinctly different standard than the instant case. Chillicothe Chiropractic & Wellness Ctr. v. Sibelius, 2014 WL 1382478, at *5-6 (S.D.Ohio Apr. 8, 2014). Therefore, considering the disparate nature of administrative agency decision appeals as compared to the instant case, the Court will only consider them as an example of how extrapolation can be used rather than a conclusive determination of how statistical sampling should be used in FCA actions.
The Government also heavily relies on FCA cases and criminal cases in which statistical sampling and extrapolation was permitted to establish loss or damages. See United States v. Jones, 641 F.3d 706, 712 (6th Cir.2011) ("A statistical estimate may provide a sufficient basis for calculating the amount of loss caused by a defendant"); United States v. Rogan, 517 F.3d 449, 453 (7th Cir.2008) (finding that "[s]tatistical analysis should suffice" rather than an individual review of claims); Fadul, 2013 WL 781614, at *14 (entering judgment against the defendant in an amount calculated through statistical sampling and extrapolation). The Court agrees with the courts in Rogan and Fadul that "[c]ourts have routinely endorsed sampling and extrapolation as a viable method of proving damages in cases involving Medicare and Medicaid overpayments where a claim-by-claim review is not practical." Fadul, 2013 WL 781614, at *14. However, using extrapolation to establish damages when liability has been proven is different than using extrapolation to establish liability. Specifically, as will be considered infra, to use statistical sampling to find liability for extrapolated claims could be in conflict with the Government's evidentiary burden to establish the elements of a FCA claim.
Aside from the categories of cases discussed above, the Government also relies on United States v. Cabrera-Diaz, a case in which statistical sampling was used to establish liability for claims under the FCA. 106 F.Supp.2d at 234. In Cabrera-Diaz, a physician billed a Medicare Part B carrier for his anesthesia services. When the Medicare Part B carrier audited his claims for anesthesia services for a certain period of time, it used a statistically valid random sample, which revealed that the physician had "overstated, falsely reported, unsupported or undocumented the anesthesia time in all but six of the 461 sampled claims." Id. at 237. Based on this sample, the government extrapolated the sample to the entire universe of claims to determine the total amount of payment. Id. at 240. The issue of whether the extrapolation was proper came before the court when the physician did not appear and the government moved for default judgment. The court found that the government's use of statistical sampling was proper and, without objection from the defendant, granted the government's motion for default. Id. at 240-43.
The Court agrees with the similarities between Cabrera-Diaz and the instant
The final noteworthy case upon which the Government relies in its Response is United States ex. rel. Loughren v. UnumProvident Corp., 604 F.Supp.2d 259 (D.Mass.2009). In Loughren, plaintiff brought a qui tam action against the defendants alleging violations of the FCA because defendants allegedly caused their insured to file applications for disability benefits even though they did not meet the qualifying statutory definition of disability. Id. at 260. Similar to the instant case, "[g]iven the enormous number of claims and the significant time and resources it would take to determine if a single claim were false," plaintiff submitted a statistical sample to the court, which he sought to extrapolate to the universe of possible claims. Id. Defendants challenged the reliability of the extrapolation, and the Court held a bellwether trial. Id. From the evidence presented by plaintiff at trial, the Court found that plaintiff presented sufficient evidence from which a jury could reasonably find that defendants "had a policy and practice of coercing its insureds to file for SSA benefits as soon as they were disabled for six months." Id. at 261. Based on this evidence, the Court concluded that "extrapolation is a reasonable method for determining the number of false claims," as long as the statistical methodology was appropriate. Id.
Defendant argues that Loughren is "inapposite" from the instant case because the court held an "extensive bellwether jury trial," the parties consented to statistical sampling, and the defendant had a policy of seeking benefits for each patient rather than individually evaluating whether each patient should seek benefits. (Doc. 159 at 12). The Court does not find Loughren to be an inappropriate case with which to draw a comparison because it provides an instance of complex qui tam litigation under the FCA where the issue of whether statistical sampling was appropriate was considered by the court. However, similar to the cases discussed above, Loughren is not precisely on point with the instant case given the several distinguishing factors that Defendant has identified in its arguments. Thus, the principles that the Court can draw from Loughren are limited due to the distinguishing factors between the instant case and Loughren. The Court has now reviewed the noteworthy cases cited by the parties as analogous to the instant case and found each of them to be non-determinative regarding the issue of using statistical sampling in an FCA action involving Medicare overpayment. As the parties have not identified — and the Court's research has not revealed — any cases which are determinative regarding the use of statistical sampling in FCA cases involving Medicare overpayment, the Court will consider the collection of cases relating to this issue, the facts and procedural posture of the instant case, and the language of the FCA to determine whether statistical sampling and extrapolation is appropriate. Before making a final determination regarding statistical sampling and extrapolation in this action, however, the Court will address the elements of a
In its brief, Defendant addresses the elements of a FCA claim and argues why the Government is unable to establish each element through statistical sampling. In response, the Government argues that (1) "the results of statistical sampling and extrapolation constitute direct evidence of the number of claims associated with overpayments"; and (2) it is not required to produce every document to support each individual claim because statistical sampling can be used to prove the number of claims that were overpaid. (Doc. 152 at 19). The Court will address Defendant's arguments regarding each element in turn.
In its brief, Defendant argues that statistical extrapolation does not provide individualized proof of specific claims or statements made. (Doc. 141 at 14). In response, the Government argues that this element, proof of a false claim, does not necessarily preclude statistical sampling. (Doc. 152 at 19).
The Court takes issue with Defendant's categorical position that the Government could not "comply with an order ... requiring the Government to specify with detail all of the Unidentified Claims for which it seeks to impose liability and damages." (Doc. 141 at 14). Considering the evidence and argument before it, the Court finds that the Government could specify in detail the specific claims for which it alleges are false, but in order to do so, it would require the devotion of more time and resources than would be practicable for any single case. However, as the Government has identified in its Response, the purpose of statistical sampling is precisely for these types of instances in which the number of claims makes it impracticable to identify and review each claim and statement. See Fadul, 2013 WL 781614, at *14. Thus, given the set of circumstances before the Court, the Court does not find Defendant's argument that the Government cannot "specify with detail" all of the individual claims to be a compelling one.
In support of its argument, Defendant relies on Friedman. 1993 U.S. Dist. LEXIS 21496. However, as the Court has discussed above, Friedman is distinct from the instant case because there was a sufficiently limited universe of claims for the court to review each one individually rather than relying on extrapolation. Considering the large universe of allegedly false claims in the instant case, it would be impracticable for the Court to review each claim individually, as the court did in Friedman. Indeed, if the Court were to individually review each allegedly false claim or statement in this action, it would consume an unacceptable portion of the Court's limited resources. Additionally, the court in Friedman cited no case law in support of its position, nor did it explain its reasoning for declining to use statistical extrapolation in detail. As Defendant has not identified other reasons that the Government cannot use statistical sampling and extrapolation regarding this element, the Court will turn to the next element of a FCA claim.
Throughout this litigation and throughout its Motion, Defendant has made the argument that statistical sampling cannot be used in this context because of the "fact-intensive, subjective determinations by scores of different physicians, therapists, and other professionals as to whether individualized therapy treatments" were
The Sixth Circuit has interpreted the FCA's use of "fraud" or falsity to encompass situations in which a defendant has aimed "to extract from the government money the government otherwise would not have paid." Chesbrough, 655 F.3d at 467. To establish falsity, the plaintiff must establish that, "in at least one instance," the defendant has submitted a false claim. United States ex rel. Crews v. NCS Healthcare of Illinois, Inc., 460 F.3d 853, 856 (7th Cir.2006). More generally, the falsehood that plaintiff establishes must be objective. "Expressions of opinion, scientific judgments, or statements as to conclusions about which reasonable minds may differ cannot be false." Roby, 100 F.Supp.2d at 625.
Defendant particularly takes issue with the use of statistical sampling in establishing liability because of the individualized factors that affect an analysis of each patient's care such as:
(Doc. 141 at 21).
The Court agrees that some of these factors will determine the type and amount of therapy a patient receives. However, the fact that these factors exist and are likely unique to each patient does not necessarily preclude the use of statistical sampling. Statistical sampling has been used in litigation for decades, and Defendant's argument regarding the individuality of each claim in the sample is not unique to this litigation. See State of Ga., Dep't of Human Res., 446 F.Supp. at 409. In fact, Defendant's argument highlights the very nature of statistical sampling: that a smaller portion of claims will be used to draw an inference about a larger, not entirely identical, population of claims. In re Countrywide Fin. Corp. Mortgage-Backed Sec. Litig., 984 F.Supp.2d at 1033. If all of the claims were exactly the same in every respect, there would be no need for statistical sampling and extrapolation in litigation because each individual unit would be identical, and it would be relatively
Accordingly, the Court finds Defendant's argument to be unpersuasive. The large number of allegedly false claims at issue in this action leads to the natural effect that the claims are unique to one another in some respects. If Defendant wishes to challenge the weight that a fact finder may attribute to the extrapolation, it can employ cross-examination and competing witnesses and testimony to highlight the disparity between claims. However, as long as the statistical sample is a valid sample that is representative of the universe of claims, the natural disparity between the claims does not preclude using sampling and extrapolation as evidence of the total number of claims for noncovered services.
Similar to the other elements, the Government does not argue that it will present evidence as to whether each claim was knowingly submitted as false. Rather, the Government argues that statistical sampling is sufficient to meet this element of a FCA claim. In its Motion, Defendant argues that the Government is unable to satisfy the knowledge element of the FCA through statistical sampling because the statute requires the Government to show that "a particular employee or agent acted knowingly with respect to the alleged false claims." (Doc. 141 at 24)(internal quotation omitted).
The FCA does not require an individual to have proof of specific intent to defraud, but rather defines the term knowing or knowingly as having (1) actual knowledge of the information; (2) acting in deliberate ignorance of the truth or falsity of the information; or (3) acting in reckless disregard of the truth or falsity of the information. 31 U.S.C. 3729(b)(1). In order to avoid displaying reckless disregard of the truth or falsity of information, a person is obligated "to make such inquiry as would be reasonable and prudent to conduct under the circumstances to ascertain the true and accurate basis of the claim." Senate Report at 20. This specific provision was included "to target that defendant who has buried his head in the sand and failed to make some inquiry into the claim's validity." U.S. ex rel. Williams v. Renal Care Grp., Inc., 696 F.3d 518, 530 (6th Cir.2012) (internal quotation omitted). Consistent with the purpose of the FCA, negligent actions or innocent mistakes do not satisfy the knowledge element of a FCA claim. Hindo v. Univ. of Health Sciences/The Chicago Med. Sch., 65 F.3d 608, 613 (7th Cir.1995). In sum, interpretation of the knowledge element of the FCA requires a balance between deterring fraud, but not punishing those who have accidentally submitted an incorrect claim. See United States v. Sci. Applications Int'l Corp., 626 F.3d 1257, 1274 (D.C.Cir.2010).
As a general matter, federal courts have not permitted a "collective knowledge" theory to be applied in an FCA case. Id. at 1275 ("We know of no circuit that has applied the `collective knowledge' theory to the FCA."); Fadul, 2013 WL 781614, at *9 ("When the Government seeks to hold an entity liable under the False Claims Act, it cannot rely on the collective knowledge of the entity's agents to establish scienter"); United States v. Educ. Mgmt. Corp., 871 F.Supp.2d 433, 452 (W.D.Pa.2012) ("The Court does agree ... that scienter may not be based on a collective knowledge theory by piecing together scraps of `innocent' knowledge held by various corporate officials") (internal quotation omitted); United States v. President & Fellows of Harvard Coll., 323 F.Supp.2d 151, 192 (D.Mass.2004). Under the "collective knowledge" theory, a plaintiff in a fraud case "need not prove that any one individual employee of a corporate defendant
Defendant has argued that the Government is presenting a "collective knowledge" argument, but that is a mischaracterization of the Government's claims. In its Response, the Government has represented that it intends to establish scienter by "proffering evidence of [Life Care's] corporate practices and pressure, and that Life Care knew those practices likely caused the submission of false claims given the complaints it received nationwide from its employees and others." (Doc. 152 at 28). Thus, the Government proposes to present evidence as to Defendant's scienter as to the claims identified within the sample. Regarding the specific evidence that will be used to prove scienter, while the parties have not specifically identified this evidence nor moved the Court to consider the merits of this issue, it appears that the Government has collected evidence regarding Defendant's scienter and intends to use it to establish this element. See Renal Care Grp., Inc., 696 F.3d at 530.
This is not a collective knowledge theory as the Government will be attempting to meet the scienter element in each submitted claim and then extrapolate the total number of claims to the relevant universe. If Defendant's intent is to challenge the extrapolation portion of this process and characterize it as "collective knowledge," it entirely misrepresents the purpose and procedure behind using statistical sampling. See In re Chevron U.S.A., Inc., 109 F.3d at 1019-20 ("The essence of the science of inferential statistics is that one may confidently draw inferences about the whole from a representative sample of the whole."). The Court has already discussed the principles of sampling and extrapolation, and it will not further reiterate them here.
The determination of whether this evidence is sufficient to establish scienter depends on the evidence itself, but, given the lack of evidence submitted by either party, the Court is not persuaded at this juncture that the Government will be completely unable to establish that Defendant had knowledge of the alleged false claims. Defendant's argument has little to do with statistical sampling and extrapolation, but rather challenges the type of evidence the Government may use to prove scienter. Given the Government's representations about its intended method to prove scienter, the Court finds Defendant's argument in this regard to be inapposite to the issue presently before the Court. Indeed, the Government has stated that it does not intend to use statistical sampling to prove this element of the FCA. (Doc. 170 at 185). Thus, the Court finds that summary judgment in favor of Defendant would be unwarranted and without any support in the evidentiary record presently before it.
Defendant also argues that the Government cannot use statistical sampling to establish that the purported false claims or statements are material. (Doc. 141 at 25). The Government argues that the extrapolated claims would be material by definition because they represent "claims that the government would not pay." (Doc. 152 at 26).
Defendant's argument regarding the inadequacy of statistical sampling targets the mathematical intricacies of the Medicare billing system. As discussed above, the Government's allegations revolve around a particular part of the Medicare billing system, the Ultra High RUG level. The Ultra High RUG level is most significant to the instant action because it is the billing category from which a skilled nursing facility would be paid the largest sum of money. However, in order to be classified at the Ultra High RUG level, a patient would need to require 720 minutes of treatment per week, using two out of three rehabilitation therapy disciplines. As Defendant highlights in its brief, a skilled nursing facility could arguably arrive at 720 minutes of medically necessary and reasonable therapy by a variety of numerical combinations. For instance, a patient could receive 800 minutes of therapy throughout a week with 80 of those minutes being either unskilled, unnecessary, or unreasonable, and he would still qualify for the Ultra High RUG level. Based on this theory, Defendant argues that a claim could only be deemed material under the FCA "if the patient would be re-classified into a lower RUG category (with a corresponding lower reimbursement rate) after subtracting the number of allegedly unnecessary therapy minutes from the total number of therapy minutes for the assessment period." (Doc. 141 at 26).
The Court finds Defendant's argument to be unpersuasive for several reasons. First, in this Circuit, the test for materiality focuses on "the potential effect of the false statement when it was made." A+ Homecare, Inc., 400 F.3d at 445 (emphasis added). Because the standard hinges on the statement's potential rather than its actual effect, Defendant's arguments are misguided. Specifically, Defendant suggests that overbilling of therapy is not an issue, so long as a patient was already in the Ultra High RUG level. However, the fact that a patient was overbilled throughout an assessment period
Second, Defendant's argument is solely speculative at this juncture in the litigation. To the extent that there are patients that fall into this category (of having so many therapy minutes that they could not have been affected by any overbilling), the Government claims that its "statistician will yield an estimate of the additional number of claims that contain overpayments that were not reimbursable." (Doc. 152 at 26). Thus, if Defendant's speculative argument materializes into a cognizable issue within the sample, the Government's methodology will take into account overpayments that would not be reimbursable.
Finally, similar to Defendant's argument regarding falsity, this would be an issue best left to the finder of fact. The fact finder will be able to consider this issue, if it arises, with Defendant's other evidence in determining how much weight should be attributed to the extrapolated evidence. Accordingly, the Court does not find this argument to preclude the Government from using statistical sampling and extrapolation.
Defendant's final argument asserts that, if the Court were to impose liability on Defendant for claims determined through statistical sampling, it would violate its right to due process and shift the burden of proof onto Defendant. (Doc. 141 at 27-31). Specifically, Defendant argues that its due process rights would be violated because the Government has not identified specific claims, thereby precluding Defendant "from investigating, developing and presenting factual and expert evidence related defenses to each of the essential FCA elements." (Id. at 28-29). Defendant also argues that the Government's use of statistical sampling "improperly" shifts the burden of proof for the requisite elements of a FCA claim onto Defendant. (Id. at 30). The Government responds that courts have routinely rejected Defendant's argument and that Defendant will be provided with due process throughout these proceedings.
The Fifth Amendment to the United States Constitution provides that "[n]o person shall ... be deprived of life, liberty, or property, without due process of law." U.S. Const. amend. V. Under the Fifth Amendment, Defendant is not entitled to individually defend each claim brought against it under the FCA. Specifically, courts that have considered the issue of statistical extrapolation to calculate overpayment have found that it is an acceptable practice which does not violate a defendant's due process rights. See Yorktown Med. Lab., Inc. v. Perales, 948 F.2d 84, 90 (2d Cir.1991) ("Given the low risk of error and the government interest in minimizing administrative burdens, the balance of interests favors [the government]"). Additionally, as the Government argues in its brief, Defendant will be afforded due process by having the opportunity to depose the Government's expert, challenge the qualifications of the Government's expert, retain its own expert, and to present all of this evidence at trial. (Doc. 152 at 30). Considering these factors, the Court finds that the use of statistical sampling and extrapolation in this action does not violate Defendant's due process rights.
The Court has reviewed the language and the legislative history of the
Over time, the Medicare program has grown, dramatically changing the breadth of the landscape from which false claims may arise. Unlike when the FCA was originally enacted in the 1800s, those who commit fraud today have the aid of tools of technology and a relative unlikelihood of detection deriving from the sheer scale of the Medicare program itself. See Laura B. Morgan, The Independent Payment Advisory Board: Will It Effectively Curb the Medicare Growth Rate?, 20 Annals Health L. Advance Directive 124, 124 (2011) (discussing the growth of the Medicare program). Given the large number of claims that can be submitted by a single entity to be reimbursed by Medicare, it is often not practicable to do a claim-by-claim review of each allegedly false claim in a complex FCA action.
The language and the history of the FCA do not suggest that statistical sampling is an improper vehicle by which to litigate FCA claims. The language of the statute is clear as to what is required to bring a claim under the FCA, and it is also clear that there is no explicit prohibition against the use of statistical sampling. See 31 U.S.C. 3729(a)(1)(A-B). If Congress intended to preclude statistical sampling from being used in this context, it has had ample opportunity to have that intention reflected in the language of the FCA. The FCA has been amended several times and Congress has declined to address the issue of statistical sampling, despite the fact that it was disputed in FCA cases as early as 1993. See United States v. Friedman, 1993 U.S. Dist. LEXIS 21496. Thus, as this issue has gone unaddressed by Congress for over twenty years, the Court finds that neither the plain language or the legislative history reflects a legislative disinclination regarding the use of statistical sampling in FCA cases.
Defendant's position — that statistical sampling simply cannot be applied to an FCA case involving Medicare overpayment — is broad and potentially far-reaching. If accepted, it would materially limit the efficacy of the FCA as a tool to combat fraud against the government. The FCA is a remedial act, and it is intended "to protect the treasury from the hungry and unscrupulous host that encompasses it on every side." Griswold, 24 F. at 366. If the Court were to reach the conclusion urged by the Defendant — that a claim-by-claim review is required in every FCA action and that statistical sampling is never permissible-potential perpetrators of fraud would be emboldened by the fact that a claim-by-claim review is often impractical. Armed with the knowledge that the government could not possibly pursue each individual false claim, large-scale perpetrators of fraud would reap the benefits of such a system. Put another way, limiting FCA enforcement to an individual claim-by-claim review would open the door to more fraudulent activity because the deterrent effect of the threat of prosecution would be circumscribed. The Court is unable to conclude that such a result is consistent with the purpose and history of the FCA.
The Court's ruling today also does not decide the parties' pending motions regarding the admissibility of expert testimony. The motions regarding expert testimony and the reliability of the statistical sample will be decided separately and will take into consideration the standards set forth in the Federal Rules of Evidence and Daubert v. Merrell Dow Pharms., Inc., 509 U.S. 579, 589, 113 S.Ct. 2786, 125 L.Ed.2d 469 (1993).
For the reasons stated herein, Defendant's Motion for Partial Summary Judgment (Doc. 140) is hereby