Transparency in Coverage Final Rule

Transparency in Coverage Final Rule

The healthcare industry’s landscape shifted dramatically with the implementation of the Transparency in Coverage (TiC) Final Rule. For compliance professionals navigating this regulatory terrain, understanding both the letter and spirit of these requirements has become essential – not just for avoiding penalties, but also for leveraging transparency as a strategic advantage.

The Regulatory Foundation

The TiC rule, codified under Section 2715A of the Patient Protection and Affordable Care Act (PPACA), represents one of the most significant transparency mandates in healthcare history. What makes this rule particularly interesting is its phased implementation approach, which has allowed organizations to adapt incrementally while pressure for meaningful change persists.

Key Implementation Timeline:

  • July 1, 2022: Machine-readable files (MRFs) requirement took effect
  • Jan. 1, 2023: Consumer price transparency tools for 500 shoppable services
  • Jan. 1, 2024: Tools expanded to include all covered services and items

The rule applies broadly, covering most non-grandfathered group health plans, individual market issuers, and notably extending to self-funded plans and their third-party administrators. This scope means that virtually every healthcare payer with significant market presence falls under these requirements.

Machine-Readable Files: The Technical Heart of Transparency

The MRF requirements deserve particular attention because they represent the most technically complex aspect of compliance. Organizations must publish three distinct file types (though prescription drug files remain delayed, pending further guidance):

In-Network Negotiated Rates Files must include rates for every in-network provider, identified by National Provider Identifier (NPI) and Tax Identification Number (TIN), cross-referenced with Current Procedural Terminology (CPT) codes. The granularity required here is striking: plans must disclose not just standard fee-for-service rates, but also alternative payment arrangements, including capitation, per diem, and percentage-of-billed-charges agreements.

Out-of-Network Files present their own challenges, requiring historical claims data from the prior 90 days (starting 180 days before publication) while implementing privacy protections that omit data when fewer than 20 claims exist for a specific billing code under a single plan.

The technical specifications are unforgiving. Files must be in JSON (JavaScript Object Notation) format, publicly accessible without authentication, and updated monthly. Many organizations have discovered that these files can reach 20-70 GB in size, creating both storage and bandwidth considerations that weren’t initially anticipated.

Enforcement Reality: Lessons from the Hospital Precedent

While health plan enforcement has been relatively measured, compared to hospital transparency enforcement, the writing is on the wall. The Centers for Medicare & Medicaid Services (CMS) has demonstrated its willingness to impose substantial penalties, as evidenced by the $1.1 million in fines levied against Northside Hospital Atlanta ($883,180) and Northside Hospital Cherokee ($214,320) in June 2022 for Hospital Price Transparency violations.

The penalty structure for health plans – up to $100 per day, per affected enrollee – creates potentially massive exposure. For a plan covering 100,000 members, this translates to $10 million in daily penalty exposure. More concerning for compliance professionals is that these penalties apply “for each violation and for each individual affected by the violation,” suggesting that multiple compliance failures could compound exponentially.

Recent developments underscore the heightened enforcement environment. President Trump’s Feb. 25, 2025 Executive Order 14221 specifically directed federal agencies to ensure that disclosed prices constitute “actual prices,” rather than estimates, and to update enforcement policies within 90 days. This signals a more aggressive enforcement posture ahead.

Strategic Compliance Considerations

Data Quality vs. Technical Compliance: Early compliance efforts revealed a critical distinction between technical compliance (posting files in the correct format) and meaningful compliance (providing usable, accurate data). U.S. Sens. Hassan and Braun’s March 2023 letter to CMS highlighted “technical loopholes” that allowed plans to publish technically compliant but practically unusable data. Smart compliance strategies address both dimensions.

Vendor Management: Many organizations have opted for third-party vendors to manage MRF generation and hosting. While this can ensure technical compliance, it doesn’t eliminate organizational responsibility. Compliance professionals should maintain oversight of data accuracy and file accessibility, as CMS holds plans accountable regardless of vendor performance.

Consumer Tool Integration: The consumer price transparency tools required since 2023 (for 500 services) and 2024 (for all covered services) represent an often-overlooked compliance area. These tools must provide personalized, real-time cost estimates and integrate with existing member portals – a significant IT undertaking that requires cross-functional coordination.

Emerging Challenges and Opportunities

The transparency ecosystem is evolving rapidly. Third-party developers are increasingly sophisticated in their ability to aggregate and analyze MRF data, creating competitive intelligence opportunities – and risks. Organizations that view transparency purely as a compliance burden miss the strategic potential for demonstrating value-based care arrangements and competitive positioning.

Privacy considerations also warrant attention. While the rule includes privacy protections for low-volume services, the unprecedented level of pricing disclosure creates new data security and competitive intelligence considerations that compliance programs must address.

Practical Implementation Recommendations

Establish Cross-Functional Governance: Successful TiC compliance requires coordination across IT, legal, provider relations, and member services. Create governance structures that can respond quickly to regulatory updates and technical challenges.

Monitor File Accessibility: Technical compliance isn’t sufficient if files aren’t actually accessible to users. Implement monitoring to ensure that files load properly, links remain functional, and file sizes don’t create practical barriers to access.

Prepare for Enhanced Enforcement: Given the recent executive order and CMS’s demonstrated willingness to impose substantial penalties in the hospital space, develop robust compliance monitoring and documentation processes. The days of technical compliance without substance are ending.

Leverage Data Strategically: Organizations that excel at transparency often find competitive advantages in demonstrating their value propositions. Consider how transparency requirements can support broader strategic initiatives focused on value-based care and member engagement.

How Public Disclosure of Negotiated Rates is Transforming Provider-Payer Negotiations

Perhaps nowhere is the TiC rule’s impact more profound than in the previously confidential world of contract negotiations. The disclosure of negotiated rates has fundamentally altered the balance of power in provider-payer relationships, creating new leverage points and strategic considerations for both parties.

The End of Information Asymmetry: Historically, contract negotiations operated in an information vacuum where both sides guessed at competitive rates. Now, payers can use hospital transparency data to gain insights regarding the rates hospitals have negotiated with other payers, which can be used during contract negotiations. This visibility extends beyond hospitals; the payer transparency data provides new insights into rates for physician and professional provider services that were previously unavailable.

Data-Driven Benchmarking: The availability of comprehensive rate data has enabled sophisticated benchmarking analyses. Comparing overall weighted average prices relative to others in the market shows which payers and providers have the highest and lowest reimbursement rates in a market. Organizations can now determine whether their reimbursement rates are competitive, outpacing, or lagging behind market standards with unprecedented precision.

Real-world applications are already emerging. A Pennsylvania employer used price transparency data to find cases in which its negotiated rates were higher than those offered to other patients, and used this information to reduce certain healthcare costs by as much as 43 percent. This demonstrates how transparency data is becoming a powerful tool for rate optimization.

Strategic Implications for Providers: Providers face a new reality wherein premium rates for undifferentiated services are increasingly difficult to justify. Price transparency will highlight disparities in price without necessarily justifying premium prices; re-negotiation may be warranted. However, this cuts both ways – high-performing providers whose rates don’t reflect their value now have concrete data to support rate-increase requests.

Geographic factors remain important, as geographic areas with limited competition may offer providers more leverage when negotiating reimbursement rates with payers. But even in these markets, transparency data provides context that didn’t previously exist.

Payer Strategy Evolution: Machine-readable files with complete data can facilitate payers’ access to their competitors’ pricing information, allowing them to negotiate better rates with providers and more confidently enter new markets. This competitive intelligence capability represents a significant shift in payer strategy development.

Payers are also discovering new tactical approaches. The ability to identify rate disparities across their provider network allows for more targeted renegotiation efforts, focusing resources on the most impactful contract modifications.

Contract Structure Transparency: Beyond just rates, the transparency data reveals contract methodologies. Knowledge of market contract structures can enable a negotiation team to consider different contract structures when developing or responding to proposals. Understanding whether competitors use per-case, per diem, or percentage-of-billed-charges arrangements provides tactical advantages in structuring competitive proposals.

Quality and Value Integration: The transparency movement is increasingly pushing negotiations beyond pure cost considerations. Payers can also use pricing data in conjunction with quality data to identify investments that will improve member experience and drive value for their plans. This evolution toward value-based discussions represents a maturation of the transparency-enabled negotiation process.

Implementation Challenges: While the data provides new opportunities, it also creates new complexities. Evaluating the reliability of results that rely on TiC and HPT data is a critical step prior to developing targets and strategy. Organizations must invest in analytical capabilities to derive meaningful insights from the massive data sets.

The monthly refresh requirement means negotiation strategies must be more dynamic, with continuous monitoring replacing annual contract analysis cycles. This operational shift requires new processes, and potentially, new organizational structures.

Balancing Transparency with Competitive Dynamics

The comprehensive disclosure requirements under the TiC rule have generated legitimate concerns about the balance between consumer empowerment and market stability. Healthcare organizations face an unprecedented challenge: complying with transparency mandates while maintaining competitive positioning in increasingly complex markets.

The Competitive Intelligence Dilemma: The public availability of negotiated rates creates what economists call “perfect information” scenarios that can fundamentally alter market dynamics. Organizations now have access to competitors’ pricing strategies, contract structures, and negotiation outcomes: information that was previously confidential and strategically valuable. This shift raises questions about whether traditional competitive advantages based on negotiation expertise and relationship management remain viable.

Some healthcare economists argue that this transparency will drive beneficial market corrections, forcing organizations to compete on value, rather than information asymmetries. Research published in BMC Health Services Research found that “public reporting has been considered effective in reducing health care costs by mitigating information asymmetry in the market,” with transparency policies designed to support traditional competition theory. Others contend that premature price disclosure may lead to market consolidation, as smaller players could struggle to compete once their pricing strategies become visible. As noted in research published by the National Institutes of Health (NIH), transparency can “facilitate collusion” among competitors, similar to experiences in other markets wherein price disclosure led to coordinated pricing, rather than competition.

Financial Sustainability Considerations: The concern about pricing wars is particularly acute for smaller practices and rural providers, which may have limited negotiating power. When higher-reimbursed providers see their rates publicly disclosed, it can create pressure for rate compression across entire markets. This dynamic may particularly impact specialized practices that have historically commanded premium rates based on expertise or geographic necessity.

However, transparency advocates note that rate compression primarily affects artificially inflated pricing, and that quality-based differentiation becomes more important when price competition intensifies. As McKinsey & Company’s recent analysis suggests, “high-performing care delivery organizations whose rates do not reflect their value and quality will be better equipped to engage payers with identifiable data substantiating that current rates are not competitive, helping to align rates with their true value.”

Graduated Disclosure Models: Several policy experts have proposed alternative approaches that could balance transparency with competitive concerns. These include aggregated reporting that shows market ranges without identifying specific payer-provider combinations, delayed disclosure that allows contract terms to stabilize before publication, or tiered transparency based on market concentration levels.

The regulatory framework, however, reflects a policy determination that consumer benefit outweighs industry competitive concerns. As stated in CMS’s Transparency in Coverage Final Rule Fact Sheet, “The requirements in the Transparency in Coverage final rule will reduce the secrecy behind health care pricing, with the goal of bringing greater competition to the private health care industry” and “making this information available to the public will drive innovation, support informed, price-conscious decision-making, and promote competition in the health care industry.”

Strategic Adaptation Rather Than Resistance: Forward-thinking organizations are viewing transparency as an opportunity to reshape their competitive strategies. Instead of competing solely on negotiated rates, successful organizations are emphasizing quality metrics, patient experience, and operational efficiency as differentiators. Some have found that transparent pricing actually supports their premium positioning when coupled with demonstrable quality outcomes.

The most pragmatic approach for compliance professionals may be to develop strategies that assume full transparency while building competitive advantages that remain valuable in a transparent environment. This includes focusing on service innovation, operational excellence, and relationship-based value that transcends simple price competition.

Market Evolution Perspective: Historical precedents from other industries suggest that transparency-driven market disruptions typically stabilize as participants adapt their strategies. The airline and telecommunications industries experienced similar transparency-driven consolidation and competition changes, ultimately leading to more efficient market structures.

For healthcare organizations, the key consideration may not be whether transparency is beneficial or harmful, but how quickly and effectively they can adapt their competitive strategies to succeed in a transparent marketplace.

Looking Ahead

The TiC rule represents more than a compliance requirement; it’s a fundamental shift toward market-driven healthcare pricing. As enforcement intensifies and consumer tools become more sophisticated, organizations that embrace transparency as a strategic advantage, rather than a regulatory burden, will be best positioned for success.

The negotiation landscape will continue evolving as market participants become more sophisticated in leveraging transparency data. Early adopters who develop robust analytical capabilities and integrate transparency insights into their strategic planning will likely achieve sustained competitive advantages.

For compliance professionals, this means staying ahead of technical requirements while building organizational capabilities that can adapt to the evolving transparency landscape. The rule’s impact on healthcare markets is just beginning to unfold, and those who understand its implications will shape the industry’s future direction.

References

Centers for Medicare & Medicaid Services. “Transparency in Coverage Final Rule Fact Sheet (CMS-9915-F).” https://www.cms.gov/newsroom/fact-sheets/transparency-coverage-final-rule-fact-sheet-cms-9915-f

Federal Register. “Transparency in Coverage.” November 12, 2020. https://www.federalregister.gov/documents/2020/11/12/2020-24591/transparency-in-coverage

Kang, H., Park, S., Bae, E.Y. “The impact of price transparency and competition on hospital costs: a research on all-payer claims databases.” BMC Health Services Research, 2022. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-022-08711-x

McKinsey & Company. “The implications of US healthcare price transparency.” April 2, 2024. https://www.mckinsey.com/industries/healthcare/our-insights/how-price-transparency-could-affect-us-healthcare-markets

Milliman. “Payer and provider negotiations: Price transparency data transforms negotiations with fresh insights.” https://www.milliman.com/en/insight/payer-and-provider-negotiations-price-transparency

Nixon Peabody LLP. “Latest executive order signals increased healthcare price transparency enforcement.” February 28, 2025. https://www.nixonpeabody.com/insights/alerts/2025/02/28/latest-executive-order-signals-increased-healthcare-price-transparency-enforcement

Sanghavi, D.M., Marrufo, G.M., Dummit, L.A. “Price Transparency in United States’ Health Care: A Narrative Policy Review of the Current State and Way Forward.” Journal of Medical Internet Research, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11129567/

Trump, Donald J. “Executive Order 14221: Making America Healthy Again by Empowering Patients with Clear, Accurate, and Actionable Healthcare Pricing Information.” Federal Register, February 28, 2025. https://www.federalregister.gov/documents/2025/02/28/2025-03440/making-america-healthy-again-by-empowering-patients-with-clear-accurate-and-actionable-healthcare

Trump, Donald J. “Executive Order 14221—Making America Healthy Again by Empowering Patients With Clear, Accurate, and Actionable Healthcare Pricing Information.” The American Presidency Project, February 25, 2025. https://www.presidency.ucsb.edu/documents/executive-order-14221-making-america-healthy-again-empowering-patients-with-clear-accurate


This analysis is based on current regulatory guidance as of June 2025. Given the dynamic nature of transparency requirements and ongoing rulemaking activities, organizations should consult current CMS guidance and legal counsel for specific implementation decisions.

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Frank Cohen, MPA

Frank Cohen is Senior Director of Analytics and Business Intelligence for VMG Health, LLC. He is a computational statistician with a focus on building risk-based audit models using predictive analytics and machine learning algorithms. He has participated in numerous studies and authored several books, including his latest, titled; “Don’t Do Something, Just Stand There: A Primer for Evidence-based Practice”

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