Alignment Healthcare Inc. v. U.S. Department of Health and Human Services

District Court, District of Columbia·Decided June 9, 2025·No. Civil Action No. 2025-0074·Published

Opinion

UNITED STATES DISTRICT COURT FOR THE DISTRICT OF COLUMBIA

ALIGNMENT HEALTHCARE, INC., Plaintiff,

v. Case No. 25-cv-74 (CRC)

U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES, et al.,

Defendants.

OPINION

This is a dispute over star ratings issued by the Centers for Medicare and Medicaid Services (“CMS”) to three Medicare Advantage plans offered by Plaintiff Alignment Healthcare, Inc. Alignment challenges the star ratings on a variety of grounds under the Administrative Procedure Act and has sought summary judgment on an expedited timeline. The Court will largely deny its motion for summary judgment and grant summary judgment to the government. The Court will, however, vacate Alignment’s 2025 star ratings as to plan H3443 because CMS’s inclusion of two appeals in those ratings was arbitrary and capricious. I. Background Given the expedited timeline for this decision, the Court writes primarily for the parties and presumes that other readers are generally familiar with the relevant legal landscape. The Court thus provides only a cursory overview of the background for this case.

The Medicare Act establishes a five-star rating system for Medicare Advantage plans on a scale of one to five stars. See 42 U.S.C. § 1395w-23(o)(4)(A). Alignment Healthcare provides six Medicare Advantage plans and received its star ratings for 2025 last fall. It now challenges the ratings issued to three of its plans, claiming that CMS’s methodology for calculating these

ratings was flawed or underexplained. Alignment also asked, with the government’s consent, to expedite this case so that any changes to its plans’ star ratings could be included in its bid proposals for the 2026 plan year. See ECF 9. Following an accelerated summary-judgment briefing schedule, the Court heard argument on the parties’ cross motions on June 3, 2025. II. Standard of Review At summary judgment, the Court must determine whether the challenged agency action complies with the APA and is supported by the administrative record. Richards v. INS, 554 F.2d 1173, 1177 (D.C. Cir. 1977). Under the APA, “[t]he reviewing court shall . . . hold unlawful and set aside agency action, findings, and conclusions found to be arbitrary, capricious, an abuse of discretion, or otherwise not in accordance with law[.]” 5 U.S.C. § 706(2)(A). Arbitrary and capricious review is “narrow,” Citizens to Preserve Overton Park, Inc. v. Volpe, 401 U.S. 402, 416 (1971), and precludes the Court from “substitut[ing] its judgment for that of the agency,” Motor Vehicle Mfrs. Ass’n of U.S., Inc. v. State Farm Mut. Auto. Ins. Co., 463 U.S. 29, 43 (1983). Rather, the Court must determine whether the agency “examine[d] the relevant data and articulate[d] a satisfactory explanation for its action including a rational connection between the facts found and the choice made.” Id. (internal quotation marks omitted). Even if the agency did not fully explain its decision, the Court may uphold it “if the agency’s path may reasonably be discerned.” Bowman Transp., Inc. v. Arkansas-Best Freight System, Inc., 419 U.S. 281, 286 (1974). The Court’s review is limited to the administrative record, Holy Land Found. for Relief & Dev. v. Ashcroft, 333 F.3d 156, 160 (D.C. Cir. 2003), and the party challenging an agency’s action bears the burden of proof, City of Olmsted Falls v. FAA, 292 F.3d 261, 271 (D.C. Cir. 2002).

III. Analysis Alignment raises seven objections to CMS’s calculations for its 2025 star ratings: (1)

CMS’s use of the Tukey Outlier Rule is arbitrary and capricious; (2) CMS arbitrarily included low-reliability enrollee survey data; (3) CMS arbitrarily ignored survey data problems stemming from Spanish-speaking plan participants allegedly receiving English-language surveys; (4) CMS’s permitting of oversampling plan enrollees unfairly benefits large plans; (5) and (6) two appeals were erroneously factored into CMS’s rating for Plan H3443; and (7) CMS’s reliance on a private entity to handle appeals from plan coverage denials violates the private nondelegation doctrine. The Court will reject the first four claims and grant summary judgment to Alignment as to the two erroneously included appeals. The Court need not reach Alignment’s private non- delegation claim.

A. Tukey Outlier Rule The Court rejects Alignment’s claim that the Tukey Outlier Rule is arbitrary and capricious. As CMS adequately explained, the Tukey Outlier Rule, which underwent notice and comment in 2023, serves an important purpose: reducing statistical noise by identifying and removing outlier data points from certain star-rating measures. See A.R. 104; 88 Fed. Reg. 22120, 22120 (April 12, 2023). Before adoption of the rule, CMS found that outliers could “have undue influence on cut points” that CMS uses to divide plans by star-level, potentially “lead[ing] to a single contract having a major influence on cut point values[.]” A.R. 104. To address that problem, CMS adopted an accepted method for identifying outliers and removing them. The natural consequence of removing outliers is some amount of compression in the remaining dataset and therefore the cut points. But to the extent that such compression results,

CMS adequately explained that it is appropriate because it more accurately reflects plan performance among representative plans. Id.

Alignment urges that the Tukey Outlier Rule should be limited to circumstances where plans have a sufficiently large denominator of data points to obtain each of the five possible star ratings. But CMS has justified why it rejected Alignment’s preferred approach. CMS explained that the situation Alignment posits is relatively rare, as the Tukey Outlier Rule typically does not result in significant changes to cut points. A.R. 103–04; see 88 Fed. Reg. at 22296. To the extent it occurs, CMS adequately explained why compression of cut points is nonetheless appropriate in light of the data reliability concerns the agency was trying to address. So in CMS’s view, the relatively uncommon circumstance posited by Alignment did not outweigh the benefits CMS saw in eliminating outliers from the underlying data.

CMS’s adoption of the Tukey Outlier Rule was reasonable and reasonably explained.

The Court will not second-guess it and therefore grants summary judgment to the government and denies it to Alignment on this issue.

B. Low-Reliability Survey Data Next, the Court rejects Alignment’s challenge to CMS’s inclusion of low-reliability survey-response data in composite star-rating measures. As CMS explained, the agency polices statistical reliability at the measure level by not calculating a star rating for unreliable measures. See 42 C.F.R. § 422.166(a)(3). Doing so ensures that plans get star ratings only for those measures that reliably reflect plan performance.

Alignment responds that CMS’s decision not to consider reliability at the survey-question level is arbitrary because unreliable survey response data will necessarily produce an unreliable composite measure. But as CMS points out, aggregating survey responses that measure or

observe a similar subject can result in an overall measure that is more reliable than its constituent parts. See Gov’t MSJ at 26–27; Health Servs. Advisory Grp., Frequently Asked Questions – Contracts (Dec. 23, 2024), https://perma.cc/QLJ2-SXZ9. Here, CMS has designed the CAHPS survey so as to include overlapping questions that can be aggregated to get a more reliable picture of plan performance. For example, CMS asks multiple questions aimed at assessing the timeliness of patient appointment scheduling and quality of doctor-patient communication. See A.R. 399. Finally, CMS does not report question-level response data for composite measures and uses such data only to inform the ratings it calculates for those measures, so CMS is not disclosing unreliable information to plan enrollees. See Frequently Asked Questions – Contracts, supra.

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Alignment Healthcare Inc. v. U.S. Department of Health and Human Services, (D.D.C. 2025).

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