Two complementary force-directed graphs: the Legislative Map traces how legislation flows through federal agencies to CMS programs and payment rules; the Payer & Company Map shows how those mandates connect to health plans, providers, digital health companies, pharma, and analytics vendors. Click a node to highlight neighbors. Scroll to zoom, drag to pan. Use the legend to filter by category.
Eligibility-based swimlane showing which CMMI innovation models apply to each healthcare service type, organized by the 6 official CMMI categories. Each model row shows the program's active date range. Use this to identify potential payment model overlaps and sequencing for any provider type. Scroll vertically to see all service types. Hover a bar for model details.
Searchable, filterable catalog of 20 major healthcare research datasets spanning Medicare claims, Medicaid enrollment, provider files, national surveys, and synthetic data. Click a row to expand the full description. Click column headers to sort. Keyboard shortcut: press 3 to switch to this tab.
How the five core Medicare coding and payment classification systems relate to each other — what they do, where they apply, and how they interact in bundling and value-based care contexts.
| Feature | DRG Diagnosis-Related Group |
HCPCS Healthcare Common Procedure Coding System |
HCC Hierarchical Condition Category |
ICD International Classification of Diseases |
APC Ambulatory Payment Classification |
|---|---|---|---|---|---|
| Primary use | Inpatient hospital payment under IPPS. | Billing codes for procedures, supplies, drugs, and services (FFS). Level I = CPT; Level II = non-physician supplies/drugs/etc. | Risk adjustment to predict annual expected cost (premiums/capitation and quality models). | Clinical classification of diagnoses (ICD-10-CM) and inpatient procedures (ICD-10-PCS). | Hospital outpatient payment under OPPS. |
| Care setting | Acute inpatient stays. | All settings (professional, outpatient, ASC, DME, ambulance, etc.). | Population-level risk for Medicare Advantage/ACA and some Medicaid models. | All settings; foundational clinical coding on every claim/record. | Hospital outpatient departments (HOPDs); some ED/clinic/ancillary. |
| Payment model | Episode-based: one payment per stay, adjusted by DRG weight, wage index, etc. | Fee-for-service: line-item payment per code (subject to edits, bundling). | Risk-adjusted: additive risk score applied to premiums/benchmarks. | Not a payment system by itself; feeds DRG, HCC, quality, epi studies. | Prospective: APC weight × conversion factor; packaging & multiple-procedure rules under OPPS. |
| Basis of grouping | Groups from ICD-10-CM/PCS diagnoses & procedures, age/sex/discharge status; CC/MCC tiers. | CPT/HCPCS codes describing the specific service/supply/drug; units and modifiers refine payment. | Mapped from ICD-10-CM diagnosis codes recorded over a look-back year; disease hierarchies. | ICD-10-CM (diagnoses) and ICD-10-PCS (inpatient procedures) with clinical rules/edits. | Groups CPT/HCPCS codes into clinical/resource bundles (status indicators determine packaging). |
| Scope | Single inpatient episode. | Individual services and supplies. | Annual view of chronic disease burden per member. | Complete clinical picture across encounters (conditions & procedures). | An outpatient visit/encounter; multiple APCs may apply. |
| Additivity / interaction | Hierarchical: one DRG per stay; CC/MCC levels modify payment (not additive). | Generally not additive across bundled edits; each line evaluated (NCCI edits, modifiers). | Additive with hierarchies: most unrelated HCCs add; within a disease family, higher-severity HCC suppresses lower. | Multiple diagnoses/procedures can be listed; downstream systems (DRG/HCC) impose hierarchy. | Mixed: some APCs pay separately; many ancillary items are packaged into a primary APC; multiples discounted. |
| Typical inputs | Principal diagnosis, OR/non-OR procedures, comorbidities (CC/MCC), demographics, discharge status. | Procedure code + units + modifiers; sometimes drug strength (J-codes), DME details. | All qualifying chronic/severe diagnoses from claims/encounters in the model year. | Provider documentation abstracted to ICD codes; POA, laterality, encounter type, etc. | Outpatient CPT/HCPCS codes, status indicators, units; sometimes device edits, composite logic. |
| Governing body | CMS (Medicare IPPS; MS-DRGs). | CMS (HCPCS Level II) and AMA (CPT = HCPCS Level I). | CMS (MA/ACA risk models; state variations for Medicaid). | WHO (ICD), with U.S. maintenance by NCHS (ICD-10-CM) and CMS (ICD-10-PCS). | CMS (OPPS/APC program). |
Core data elements that recur across Medicare and Medicaid research files, with notes on which Medicare Part or program each variable belongs to and how to use it for linkage, cost, utilization, and disease burden analysis.
| Function | Medicare FFS (A/B) | MA Encounters (C) | Professional (B) | Part D (D) | Medicaid (TAF) |
|---|---|---|---|---|---|
| Beneficiary key | BENE_ID |
BENE_ID |
BENE_ID |
BENE_ID |
BENE_ID (in CCW-linked TAF) |
| Claim window | CLM_FROM_DT / CLM_THRU_DT |
same names | same names | fill date / PDE date vars | service dates in TAF |
| Diagnoses | ICD-10-CM (principal/secondary) | same | fewer DX fields | n/a (drug) | ICD-10-CM |
| Procedures | ICD-10-PCS (IP A) + HCPCS/CPT (OP B) | HCPCS/CPT | HCPCS/CPT | NDC | ICD-10-PCS/HCPCS/CPT parallels |
| Site / setting | TOB (11x, 13x) on UB-04/837I | encounter type mirrors | POS on 1500/837P | plan & pharmacy context | UB-04/TOB & professional POS |
| Payment amounts | CLM_PMT_AMT + REV_CNTR lines |
encounter pricing fields (when populated) | allowed/paid at line/claim | gross drug cost, plan paid, patient pay | TAF paid/allowed fields by claim type |
Note: BENE_ID is the CCW link key across Medicare and certain Medicaid data (when available via CCW) — not a general-purpose ID outside the CCW environment.
CLM_PMT_AMT; sum of revenue-center payment/charge lines in Medicare A (IP) and B (OP). Medicaid TAF has analogous paid/allowed fields.CLM_FROM/THRU, ADMSN/DSCHRG for LOS, readmissions, episode triggers — primarily Medicare A/B/C; fill date for D; analogous in Medicaid TAF.BENE_ID — A/B/C/D/TAFCLM_ID — A/B/C/TAFCLM_FROM_DT, CLM_THRU_DT — A/B/C/TAFCLM_ADMSN_DT — IP Part A, some TAFCLM_PMT_AMT, REV_CNTR amounts — A/B| Conflated pair | What each one actually is | Distinctions |
|---|---|---|
| Episode window: TEAM vs BPCI-A / CJR | TEAM uses a 30-day post-discharge window. BPCI Advanced and CJR use 90 days. | All three share the same shape — a triggering hospitalization followed by an accountability period — so the window reads as a property of bundled payment generally. It is set per model, and TEAM's is the shortest of the three. |
| HHVBP: original model vs expanded program | The CMMI model ran in 9 states and ended 2021-12-31. The expanded HHVBP is a separate nationwide program, permanent from 2023. | Same name, same acronym, and the nationwide start falls just after the model's end — so the two read as one continuous program. One is a time-limited demonstration in 9 states; the other is permanent nationwide policy. |
| ACO REACH's predecessor | REACH replaced Global and Professional Direct Contracting (GPDC). MSSP ran in parallel throughout and still exists. | MSSP and GPDC were both accountable-care programs running at the same time, which makes either a plausible ancestor. REACH's lineage runs through the Direct Contracting family only; MSSP is a parallel track, not a predecessor. |
| DSH adjustment percentage vs Medicaid inpatient day share | The 11.75% figure is the DSH adjustment percentage — a payment output of the formula. Medicaid inpatient days are an input to it. | Both are percentages attached to the same hospital, and Medicaid volume is what drives the formula — so the output reads as though it were the volume measure. One is a payment adjustment; the other is patient days. |
| Metropolitan area vs CBSA | TEAM's 188 geographies are Core-Based Statistical Areas, which include micropolitan as well as metropolitan areas. | Most CBSAs are metropolitan and CBSA counts are usually reported in metropolitan contexts, so the term reads as a technical synonym. The set is strictly larger — micropolitan areas are CBSAs and are not metropolitan. |
| Conflated pair | What each one actually is | Distinctions |
|---|---|---|
| OBBBA §71109 vs §71301 / §71302 | §71109 narrows Medicaid eligibility (effective Oct 1, 2026). §71301/§71302 narrow marketplace premium tax credit eligibility. | Both sit in the same statute, both restrict eligibility for overlapping immigrant populations, and both land in the same window — so they read as one provision. They act on different programs, reach different groups, and take effect on different dates. |
| Rule finalized vs rule in force | The RADV extrapolation rule was finalized in January 2023. It was vacated by the Northern District of Texas on September 25, 2025; appeal pending. | A finalized rule is normally an enforceable one, so the two states are ordinarily the same thing. Vacatur separates them: the rule exists in final form and cannot currently be applied. |
| Current Medicaid enrollment vs unwinding-era peak | Roughly 73.5M as of May 2026. The widely-quoted ~94M is the continuous-enrollment peak, before the 2023–24 unwinding. | Both are recent national Medicaid totals, and the peak is the more frequently circulated of the two. They describe different periods, on either side of the unwinding — roughly a 20M difference in any denominator built from them. |
| Georgia Pathways vs full-expansion population | ~240,000–250,000 is the Pathways-specific estimate. ~447,000–536,000 is the full-expansion eligible population. | Both answer "how many Georgians could gain coverage," and Pathways is the state's actual vehicle — so its population reads as the state's whole coverage gap. One counts people eligible under Pathways' conditions; the other counts everyone a full expansion would reach. |
| Waiver-dependent vs regulation-authorized Community Supports | Under CalAIM, 12 of 14 Community Supports are authorized by 42 CFR §438.3(e)(2), independent of the waiver. Only 2 depend on it. | All 14 are administered as one benefit under one program, so the set reads as sharing one legal basis. Authority splits between federal managed-care regulation and the waiver, and that split is what determines which services survive a non-renewal. |
| Draft vs final guidance | FDA's PCCP draft guidance issued April 2023; the final guidance issued December 3, 2024. | Both are FDA guidance documents with the same title and largely overlapping content, and drafts circulate widely enough to be cited as operative. Only the final document carries the date that governs submissions. |
| Partnership announced vs guidance issued | Joint Commission and CHAI announced their partnership in June 2025; their first joint guidance followed September 17, 2025. | Both events belong to one collaboration, fall within a single quarter, and coverage of the second usually recaps the first. One is an agreement to work together; the other is a published document organizations can act on. |
| QHIN designation vs CMS-Aligned Network pledge | TEFCA QHIN designation is a formal ONC/ASTP status. The CMS-Aligned Network pledge is a separate voluntary commitment. | Both are national interoperability credentials, both signal a commitment to data exchange, and many of the same organizations hold both. Neither implies the other — an organization can hold either, both, or neither, which is why they are tracked here as independent fields. |
| Conflated pair | What each one actually is | Distinctions |
|---|---|---|
| ICD-10-CM vs ICD-10-PCS | CM codes diagnoses in every setting. PCS codes procedures on inpatient claims only. | They share the ICD-10 name and sit side by side on the same inpatient claim, so "ICD-10" reads as one code set. CM spans every setting; PCS appears only on inpatient claims, while institutional outpatient (13x) carries HCPCS like professional claims. |
| MBI vs HICN | The MBI replaced the HICN in 2018. Files spanning the transition may carry either. | Both are the Medicare beneficiary identifier of their era and fill the same slot in a linkage plan. Which one is present is a property of the file's vintage, not a choice the analyst makes. |
| Wilson vs Clopper-Pearson interval | For 2 of 5, Wilson gives roughly 12%–77%; Clopper-Pearson is wider, near 7%–85%. | Both are standard binomial confidence intervals for the same proportion, and output often labels either one simply "binomial" or "exact." At small denominators they differ materially, so the method and the bounds have to be reported together. |
| Estimating propensity scores vs matching on them | scikit-learn estimates the scores. econml does doubly-robust and heterogeneous-effect estimation. Neither performs the matching step. | They are consecutive steps in a workflow usually named as a single procedure — "propensity score matching" — and the estimation library is the one most write-ups mention. Matching is a separate step requiring its own implementation. |
| HCC V28 vs V24 | V28 moves from 86 to 115 categories, removes about 2,294 codes, and adds constraining. 2026 is the first 100% V28 year. | Both are CMS HCC models scoring the same conditions for the same purpose, and the transition years blended the two, which makes them look interchangeable. The differences are structural, so a RAF is only comparable within one version. |
| IRF payment: CMG vs DRG | Inpatient rehabilitation facilities are paid by Case-Mix Group via HIPPS codes. Acute inpatient hospitals are paid by MS-DRG. | Both group an inpatient stay into a payment category from diagnosis and clinical detail, and an IRF is an inpatient facility — so acute-care logic reads as applying. They are different prospective payment systems with different groupers. |
Reference map of 14 analysis types — tech stack, statistical method, data volume, entity grain, healthcare use cases, and common mistakes. Click a card to expand. Filter by build status. Keyboard shortcut: press 4 to switch to this tab.
A standalone deep-dive on the One Big Beautiful Bill Act (H.R. 1 / P.L. 119-21, signed July 4, 2025) and its 2026+ coverage and cost implications — national provisions, five state impact categories, individual mandate variation, a state-by-state drill-down, and a topic-organized reading guide. Static reference content, edited in place like the Data Taxonomy reference sections. Keyboard shortcut: press 5 to switch to this tab.
Throughline across every section below: OBBBA's federal savings are consistently smaller than the state, county, and provider costs it shifts downstream — and no reconciliation event (a follow-on bill, a court injunction that sticks, or a funding backstop) has yet closed that gap.
P.L. 119-21 (H.R. 1) is a budget reconciliation law, not healthcare-specific legislation — its healthcare provisions are four of many titles. Two of the biggest compounding factors in 2026 (the expired enhanced ACA premium tax credits and the broader MA risk-adjustment/RADV litigation) are not OBBBA provisions; they are separate, coincidentally-timed policy events. This section covers OBBBA's actual text first, then flags what compounds it.
What compounds OBBBA (not part of the law itself): The IRA-era enhanced ACA premium tax credits expired December 31, 2025 without congressional renewal — subsidized marketplace enrollees' average annual premium roughly doubled, from $888 to $1,904, and the "subsidy cliff" at 400% FPL returned for everyone. Separately, MA risk-adjustment (HCC V28) and RADV litigation is compressing plan margins for reasons unrelated to OBBBA (see Top Shifts, Ontology tab). Both land in the same 2026-2027 window as OBBBA's provisions and are treated as compounding catalysts throughout this tab, not attributed to OBBBA itself.
States are not implementing OBBBA uniformly. Grouping by exposure type — rather than by region or party — is more predictive of operational outcome. Evidence grade follows each row's sourcing quality: confirmed (official agency data or GAO/auditor report), modeled (advocacy/research-org projection), insufficient (qualitative reporting only, no verified figure as of this pass).
| Category | States | Exposure Type | Action Plan | Projected Coverage Loss | Cost Impact | Evidence |
|---|---|---|---|---|---|---|
| Early Adopters | NE, MT, IA, AR | Rapid, state-initiated timeline ahead of the Jan 2027 federal deadline | Mass beneficiary notification campaigns; state-run online resource hubs | NE: ~200 in the first disenrollment round (July 31, 2026) — the state Medicaid director's own figure, used here as the headline; advocacy groups separately project 20,000-40,000 eventually, which this page does not adopt as the expected outcome. MT: ~13,000 adults (~18% of expansion population) by the 2027 enforcement completion. IA: enforcement begins Dec 1, 2026; ~32,000 estimated coverage loss (analyst projection). AR: began July 1, 2026, with enforcement delayed until January 2027 (per CMS's own IFR, which names all four states as early movers) — a non-enforcement grace period matching Montana's. | Rural hospitals, FQHCs absorb uncompensated care first | Confirmed (NE, MT, AR) / Modeled (IA) |
| Waiver-Only / Non-Expansion | GA (verified); TN, WI (cited in prior tracking, not independently re-verified this pass) | Non-expansion states running (or considering) standalone work-requirement waivers | Vendor-heavy eligibility-system spending over direct care | GA: ~7,400-9,175 enrolled vs. a Pathways-eligible population commonly cited at ~240,000-250,000 (missed its own ~25,000 first-year target, per GAO) | GA: $54.2M administrative vs. $26.1M care spending since 2021 (GAO, Sept 2025) | Confirmed (GA) / Modeled (TN, WI) |
| Expansion+Waiver Intersection | HI, MA, NY, OR, UT | Dual-track compliance — existing state waiver terms plus the new federal work requirement | State call centers; dual-eligibility-system rebuilds | Qualitative reports of administrative strain and call-center wait times; no state-specific figure independently verified in this pass | Public hospitals in expansion states with high dual-eligible share | Insufficient |
| Administratively Overwhelmed | ND | Capacity failure — eligibility-system backlog builds before work-requirement enforcement even begins | "Good faith"/self-declaration workarounds; emergency eligibility-office staffing (Missouri improved after a staffing increase) | ND: pending-renewal share rose from 11.2% (Q4 2025) to 24.8% (Q1 2026, its highest on record); 69.3% of applicants waited >30 days. ND HHS estimates only 5,000-7,000 of ~23,000 expansion members will actually be affected once its own work-requirement deadline (Jan 1, 2027) arrives — nearly half pre-qualify for exemption. Nationally: median share of pending Medicaid renewals rose from 4.3% (Q2 2025) to 7.0% (Q1 2026); share of new applications taking >30 days to process rose to 21.9% in Q1 2026. | State budgets absorb overtime/temp staffing first, then rural providers absorb the access impact | Confirmed |
| Litigants | 25 states + DC (23 states via AG + 2 via governor: KY, PA), incl. MA (lead), CA, NY, OR | Compliance-under-protest — must implement while suing | Multi-state coalition litigation: Commonwealth of Massachusetts et al. v. Oz (filed June 2026; MA is the named lead plaintiff, CA a co-plaintiff) challenges the interim final rule's narrowed "medically frail" exemption; a separate 21-AG + 1-governor coalition (filed N.D. Cal.) challenges the 2027 Notice of Benefit and Payment Parameters' expanded catastrophic-plan eligibility (HHS's own estimate: 2M lose coverage in 2027, 5M by 2030) | A federal judge denied the preliminary injunction in Massachusetts v. Oz on July 29, 2026 — the rule stays in effect nationwide while litigation continues (a motion to reconsider was filed Aug 26, 2026; outcome not yet resolved as of this pass) — deferred, not avoided | Same downstream cost pattern as the state's underlying category (e.g., CA is also Expansion+Litigant) | Confirmed |
Texas was removed from the Administratively Overwhelmed category above: Texas never adopted ACA Medicaid expansion, so it has no expansion population subject to the work requirement, and its confirmed application backlog (~1,600 → 210,000+ applications, Jan-Aug 2026; on-time processing fell from >90% to 62%) is attributed by advocates primarily to new SNAP accuracy requirements and the shift to 6-month redeterminations, not work-requirement enforcement. It's still a real and useful finding — cross-program eligibility-system strain (SNAP verification changes compounding with Medicaid redetermination cycles) is straining state capacity in both non-expansion states like Texas and expansion states like North Dakota, independent of whether work requirements are the direct cause.
The federal individual mandate penalty was zeroed out by the 2017 Tax Cuts and Jobs Act; five jurisdictions have since enacted their own. As the federal enhanced-subsidy expiration raises marketplace premiums nationally, these state penalties interact directly with affordability in the states that have them — going uninsured now carries both a higher unsubsidized premium risk and, in five places, a direct tax penalty.
| State Mandate Type | 2026 Penalty | States |
|---|---|---|
| Income + flat-fee floor | Greater of 2.5% of income or a per-adult/per-child flat fee: CA ~$950/adult, ~$475/child, max ~$2,850; NJ ~$695/adult + 2.5% income, capped at the statewide average Bronze-plan premium; RI $695/adult (~$57.92/mo), $347.50/child, flat-dollar cap $2,085, also capped at Bronze-plan cost; DC is higher — $795/adult, $397.50/child, $2,385 family cap (DC's 2026 figure was not yet published as of this pass; the 2025 amount is shown) | CA, NJ, RI, DC |
| Income/age sliding scale | Income-tiered by multiple brackets (% of FPL) rather than one flat maximum; sources conflict on the top-tier figure — one aggregator cites ~$135/mo (~$1,620/yr), this project has also used ~$182/mo (~$2,184/yr). Not independently confirmed against MA's own TIR 26-1 guidance in this pass — verify directly with Mass.gov before citing a specific number. | MA |
| Reporting only | No financial penalty — coverage status reporting required | VT |
| No mandate | No penalty, no reporting requirement | Remaining ~44 states |
Note: the flat-fee amounts above are 2026 figures (DC's is 2025, pending 2026 publication) and differ meaningfully by state within the "income + flat fee" category — DC's floor runs roughly $100/adult higher than NJ/RI's; CA's is highest of the four. Treat the bracket as directionally consistent, not identical, across jurisdictions.
OBBBA is not an isolated event — it compounds an existing cost trend. PwC's 2027 medical cost trend survey (published June 11, 2026) puts Group at 9% and Individual at 8.5% — the highest commercial trend in 17 years, independent of anything in OBBBA. Aon's "9.5%" figure needs a year caveat: this project has two differently-dated Aon sources — one from Sept 2025 headlined "9.5% in 2026" and one from Aug 2026 headlined "9.5% in 2027" — and could not resolve in this pass whether that's a genuine coincidence across two separate annual reports or a citation mix-up; verify against Aon's original report before citing a specific year. Mercer's 8.2% and WTW's 11.1% figures circulate widely for this period but were not independently re-verified against each firm's own published report in this pass; cite with that caveat. The chart below plots each catalyst on two axes — its effect on access (horizontal) against its effect on cost (vertical) — while marker shape and colour preserve the catalyst's root: an OBBBA provision, another federal law or policy, a market/structural force, a state action, or litigation. Reading those two dimensions together is the point: it shows not just how much pressure exists but where it originates, and therefore which lever could relieve it.
Each catalyst is placed by its access effect (horizontal) against its cost effect (vertical); marker shape and colour carry its root. Hover any marker for the full detail.
Positions are qualitative judgements about direction and rough magnitude, not measured coordinates — the chart is a way to see which catalysts pull against each other, not a quantitative model. Note that the two quadrants doing most of the work are opposite corners: nearly everything OBBBA does directly sits in access lost, cost up, while the offsets that might pull the other way (its own Rural Health Fund, state value-based-care programs, IRA drug pricing) are fewer, smaller, and in several cases depend on authority that expires or is still in litigation.
Fills a gap in the existing Top Shifts cascade (Ontology tab): MA risk-adjustment litigation and the Rural Health Transformation Fund were previously untracked in this project's OBBBA-adjacent content; both are now cross-referenced here and in the Payer & Company Map (rhtf_prog node).
Three distinct categories, chosen for contrast: CA (Expansion + Litigant, largest Medicaid program in the U.S.), MT (Early Adopter, rapid state-initiated rollout), GA (Waiver-Only/Non-Expansion, the only state with a multi-year work-requirement track record). Each card covers exposure, action plan, strengths/weaknesses, tipping point, cost-shift cascade, and incentive structure.
The three cards above are the deep-dive states. Select any other state or DC below for its category assignment, expansion status, work-requirement timeline, litigation posture, and whichever coverage-loss figure is actually verifiable for it. Most states have no verified state-specific coverage-loss estimate yet — where that is the case this says so plainly rather than extrapolating one, and points at the tracker to check.
Within California, the Bay Area's dense MCO/FQHC safety-net infrastructure diverges sharply from Central Valley and rural CA, where thinner provider networks and longer travel distances likely translate the same paperwork-failure rate into a higher effective coverage-loss rate. A standalone page maps potential navigation-network options to explore and ranked at-risk and resilient organization tables for healthcare-and-housing navigation networks in the region, limited to organizations with direct fiscal exposure to OBBBA-related cuts:
→ Open: Bay Area Navigation Networks — Potential Actionable Insights (standalone page)
Notable people & entities shaping this conversation: Michelle Baass (Director, CA Dept. of Health Care Services); Rob Bonta (CA Attorney General, co-plaintiff counsel in Commonwealth of Massachusetts et al. v. Oz — Massachusetts is the named lead plaintiff); California Health Care Foundation (CHCF, implementation-guidance publisher); San Francisco Health Plan, Alameda Alliance for Health, Santa Clara Family Health Plan, Contra Costa Health Plan, Health Plan of San Mateo (regional Medi-Cal MCOs — not Partnership HealthPlan of CA, which serves Northern California counties outside this footprint). Statewide advocacy organizations (California Pan-Ethnic Health Network, Western Center on Law & Poverty, California Primary Care Association) are active on this issue nationally but their specific Bay Area positions were not independently verified in this research pass — treat as directionally relevant, confirm before citing specifics.
Organized by topic rather than as one flat list, so this doubles as a reading guide into the underlying sources — separate from the main repo's Data Freshness sources list (README) to keep this deep-dive self-contained.
This entire tab is static HTML with no backing JSON (same pattern as the Data Taxonomy reference sections) — edited in place. It is not automatically refreshed by the standard "update all tabs" workflow; see CLAUDE.md Step 10 for the explicit check-and-update triggers added for this tab.
| Element | Source to check each refresh cycle |
|---|---|
| CBO coverage-loss projections | CBO.gov new scores on OBBBA-related legislation |
| KFF / Georgetown CCF tracking data | KFF work-requirements tracker; Georgetown CCF H.R. 1 Readiness Tracker |
| State case-study numbers (NE, MT, GA, TX) | State Medicaid agency releases; GAO/state auditor reports |
| Litigation status | CA DOJ federal-accountability healthcare page |
| Individual mandate penalty amounts | State revenue department guidance (annual, calendar-year change) |