Implementation Roadmap: 3-Phase Rollout

Policy Brief Date: November 2025 Series: Healthcare Data Infrastructure Reform

Executive Summary

Deploying the Accounting Conservation Framework at national scale requires a 3-phase, 3-year implementation that: 1. Standardizes data schemas without expanding reporting burdens 2. Mandates continuity validation at hospital and payer levels 3. Creates public API for episode-level cost queries

Total Cost: $50M one-time (infrastructure), $10M/year ongoing (operations) Funding Mechanism: Medicare/Medicaid payment conditional on compliance (no new appropriation) Timeline: 2026-2028 rollout, full operational by 2029

Phase 1: Standardization (Year 1 - 2026)

Objective

Establish data schemas and reconciliation standards for existing transparency data sources (HCRIS, hospital MRFs, payer TiC files, MLR filings).

Deliverables

1.1 Episode Identifier Standard (Q1 2026) - Goal: Enable cross-source linkage (hospital → payer → HCRIS → MLR) - Specification: ``` Episode ID = FHIR Encounter ID + Extensions Format: {Facility_NPI}-{Encounter_Date}-{Encounter_Type}-{Sequence} Example: 1234567890-20250315-IP-00123

Linkage: - Hospital EHR → Encounter ID - Payer Claim → Reference Encounter ID - HCRIS → Aggregate encounters by facility - MLR → Aggregate claims by encounter type ``` - Implementation: CMS publishes FHIR IG (Implementation Guide); 6-month adoption window

1.2 Hospital MRF Schema v3.0 (Q2 2026) - Amendments to 45 CFR Part 180: - Add episode_continuity_validation field (pass/fail per service code) - Add last_updated_date (enforce quarterly updates) - Add rate_effective_date_range (clarify contract periods) - Backward Compatibility: v2.0 files accepted through Dec 2026 - Compliance: Hospitals must publish v3.0 by Jan 1, 2027

1.3 Payer TiC Schema v2.0 (Q2 2026) - Amendments to 85 FR 72158: - Require NPI + TIN as primary keys (eliminate proprietary IDs) - Add hospital_mrf_reconciliation_status (match/mismatch flag vs. hospital-side rate) - Add query API endpoint (replace terabyte file dumps) - Compliance: Health plans must deploy API by Jan 1, 2027

1.4 MLR Cross-Validation (Q3 2026) - Amendments to 45 CFR Part 158: - Actuarial certification must include episode-level audit (1% sample) - MLR claims spending must reconcile with HCRIS aggregate within 10% - Discrepancy > 10% triggers CMS investigation - First Filing: 2027 MLR reporting year (filed June 2028)

1.5 CMS Validation Infrastructure (Q4 2026) - Build: - Cloud-based data lake (AWS/Azure Gov) - ETL pipelines (HCRIS + MRF + TiC + MLR ingestion) - Episode validator engine (Python-based, open source) - Public dashboard (pass/fail rates by hospital/payer) - Budget: $40M (one-time) - Vendor: Competitive procurement (Q2-Q3 2026)

Success Metrics

Phase 2: Validation (Year 2 - 2027)

Objective

Enforce continuity validation at hospital and payer levels. Publish pass/fail rates. Link Medicare payment to compliance.

Deliverables

2.1 Hospital Continuity Enforcement (Q1 2027) - Requirement: All hospitals must pass Tier 1 validation (net asset roll-forward) - HCRIS filing rejected if residual > 0.5% - Hospitals must remediate and refile within 60 days - Consequence: Medicare DSH payments withheld until compliance - Support: CMS publishes validator tool (open source Python package)

2.2 Episode Validation Pilot (Q1-Q2 2027) - Scope: 50 hospitals (stratified by size, region, ownership), 5 payers, 10,000 episodes - Goal: Validate that 89% pass rate (from proof-of-concept) holds at scale - Data: Real Medicare/Medicaid/Commercial episodes (anonymized) - Budget: $5M (CMS Innovation Center)

2.3 Rate Reconciliation Enforcement (Q3 2027) - Requirement: Hospital MRF rates must match payer TiC rates within 5% - Process: - CMS cross-validates hospital-side vs. payer-side rates monthly - Discrepancies > 5% flagged - Hospital + payer have 60 days to file explanation or correct - Consequence: After 2 violations, hospital/payer listed on public non-compliance dashboard

2.4 MLR Episode Audit (Q4 2027) - Requirement: Actuaries must validate 1% of claims (episode-level) for MLR filing - Process: - Random sample stratified by DRG, geography, plan type - Episode continuity check (charge = payment + adjustment + …) - Pass rate must be ≥ 85% to avoid rebate recalculation - First Audit: 2027 MLR filing (June 2028 submission)

Success Metrics

Phase 3: Public Access (Year 3 - 2028)

Objective

Create public API for validated episode-level cost queries. Enable consumers, employers, researchers to access measurement infrastructure.

Deliverables

3.1 Public Episode Cost API (Q1-Q2 2028) - Functionality: GET /api/v1/episode-cost?drg=470&npi=1234567890&payer=BCBS_PPO Response: { "drg": 470, "description": "Major Joint Replacement", "provider_npi": 1234567890, "provider_name": "Cedars-Sinai Medical Center", "payer": "Blue Cross PPO", "validated_episodes": 37, "pass_rate": 92.5%, "cost_summary": { "median_charge": 65000, "median_payment": 40500, "median_patient_responsibility": 4500, "range_25th_pct": 38000, "range_75th_pct": 43000 }, "confidence_interval_95": [36500, 44500], "last_updated": "2027-12-15" } - Rate Limits: 1,000 queries/day (free tier), unlimited (registered researchers/employers) - Privacy: No individual patient data (aggregate statistics only)

3.2 Consumer-Facing Tools (Q3 2028) - CMS Price Transparency Portal: - Compare episode costs across hospitals (by DRG/CPT) - Filter by payer, distance, quality ratings - Show validated cost ranges (not estimates) - Third-Party Integration: API available to Turquoise Health, FAIR Health, etc.

3.3 Researcher Data Access (Q4 2028) - Research Use Files (RUFs): - Anonymized episode-level data (100,000 episodes/year) - Stratified by DRG, geography, payer type - Available via CMS Virtual Research Data Center (VRDC) - Use Cases: - Health services research (cost-effectiveness studies) - Policy evaluation (Medicaid expansion, bundled payments) - Actuarial modeling (premium setting, risk adjustment)

3.4 Employer Cost Transparency (Q4 2028) - Self-Insured Employer Dashboard: - Upload claims data (via secure portal) - CMS validates episode continuity - Return validated cost benchmarks vs. market - Identify overpayments, billing errors - Pilot: 50 large employers (Fortune 500) - Goal: Reduce employer healthcare costs by 5-10% via validated benchmarking

Success Metrics

Budget and Financing

One-Time Costs (Phase 1)

Annual Operating Costs (Phases 2-3)

Financing Mechanism

No New Congressional Appropriation Required:

1. Medicare DSH Payment Conditioning:
   • Hospitals: Link 0.5% of DSH payments to validation compliance
   • Revenue impact: $500M Medicare DSH × 0.5% = $2.5M/hospital (avg)
   • Compliance incentive strong enough to drive adoption
2. MLR Rebate Adjustments:
   • Payers failing episode validation lose 0.5% MLR credit
   • Example: If payer’s MLR = 87% but validation fails → Rebate calculated at 86.5%
   • Financial incentive: Payers avoid $50-100M rebate increases
3. Medicare Advantage Quality Bonus Pool:
   • Redirect 1% of MA quality bonus ($500M) to fund CMS infrastructure
   • MA plans benefit from validated cost benchmarking (reduces overpayments)

Risk Mitigation

Risk 1: Vendor Lock-In

Mitigation: Open-source episode validator (Python package published on GitHub). Any hospital/payer can validate internally before submitting to CMS.

Risk 2: Data Privacy Violations

Mitigation: API returns only aggregate statistics (n ≥ 11 episodes required). Individual patient data never exposed. HIPAA audit by OIG in Phase 3.

Risk 3: Low Hospital/Payer Compliance

Mitigation: Link Medicare payment to compliance (Phase 2). Non-compliance listed on public dashboard. After 2 years, CMS can exclude non-compliant hospitals from Medicare (existing statutory authority).

Risk 4: Infrastructure Failure (Downtime)

Mitigation: 99.9% uptime SLA. Multi-region cloud deployment (AWS us-east-1 + us-west-2). Disaster recovery tested quarterly.

Risk 5: Gaming/Data Manipulation

Mitigation: Episode validation includes statistical outlier detection (Benford’s Law, z-score anomalies). Hospitals/payers flagged for audit if pass rate improves >20% year-over-year without explanation.

International Best Practices

England: NHS Digital Implementation

Lesson: NHS Reference Costs took 4 years (2000-2004) to reach 90% hospital compliance. Success factors: - Phased rollout (pilot → regional → national) - Open-source cost allocation tools (free to trusts) - Financial incentive (payment by results tied to reporting)

Application to U.S.: Follow phased approach (pilot in Year 2 before national enforcement).

Germany: InEK DRG System

Lesson: German hospitals had 95% adoption within 2 years because: - Reporting linked to payment (no report = no DRG payment) - Technical support provided (InEK publishes validation software)

Application to U.S.: CMS must provide free validation tools (not just mandate compliance).

Conclusion: Feasible, Affordable, Essential

The 3-phase roadmap demonstrates that national-scale measurement infrastructure is:

✓ Feasible: Proof-of-concept validated (89% pass rate) ✓ Affordable: $50M one-time, $10M/year (0.001% of healthcare spending) ✓ Self-Financing: Medicare payment conditioning drives compliance without new appropriation ✓ Timely: Full operational by 2029 (ahead of most policy reform timelines)

The 2025 government shutdown proves measurement is no longer optional. This roadmap proves deployment is achievable.

References

1. NHS England (2024). “NHS Reference Costs: Implementation History 2000-2024.” https://www.england.nhs.uk/

2. InEK (2024). “German DRG System: 20 Years of Data-Driven Payment.” https://www.g-drg.de/

3. GAO (2023). “Hospital Price Transparency: Implementation Challenges and Lessons Learned.” GAO-23-105319.

Series: - The 2025 Government Shutdown - The Measurement Gap - Regulatory Landscape - Conservation Framework - Validation Results - ACA Subsidy Case

Next: - Economic Impact - Policy Recommendations - Executive Brief

Document Status: Publication-ready Last Updated: 2025-11-06 Word Count: ~2,000