Data Deep Dive: Working with the New Schema 2.0 Updates

Over the past few months, we’ve discussed the upcoming Transparency in Coverage (TiC) Schema 2.0 updates. Now that the new schema is live, it’s time to take a closer look at what actually changed in the data.

At first glance, the update introduces six new variable fields: two at the Table of Contents (TOC) level and four at the negotiated rate level. These additions expand the contextual metadata surrounding negotiated rates and improve clarity around plan ownership, provider networks, and hospital billing structure.

New Table of Contents Fields

Two new fields were added at the file-level metadata layer:

  1. Issuer Name (issuer_name): The name of the plan’s issuing organization, providing clearer attribution of the entity responsible for the plan.
  2. Plan Sponsor Name (plan_sponsor_name): When the plan ID type is listed as an EIN, this field captures the common business name of the sponsoring employer or organization.

New Rate-Level Fields

Four additional variables were added at the negotiated rate level:

  1. Business Name (business_name):  The common business name associated with the EIN used in the value field.
  2. Network Name (network_name):  The consumer-facing name of the provider network associated with the rate. This helps distinguish between multiple networks offered by the same payer.
  3. Severity of Illness (severity_of_illness): Some DRG-based negotiated rates depend on the patient’s severity of illness. This field captures that classification when applicable.
  4. Setting (setting): Specifies whether a negotiated rate applies to inpatient, outpatient, or both settings.

These additions make it easier to distinguish between insurers and employer-sponsored plan sponsors, an important distinction when analyzing plan-level negotiated rates. Together, these variables provide more granular context around negotiated rates, particularly for inpatient billing structures and multi-network payer plans. While many of these fields were already established on our platform within Plan Types selection, we are set to ingest and incorporate these new data such as Severity of Illness as a new data point in the platform.

Insurance Network Table
NETWORK_NAME BUSINESS_NAME SEVERITY_OF_ILLNESS SETTING
Preferred Blue PPO GARRISON FAMILY CLINIC 3 inpatient
HMO POS PROVIDERS, NY PPO State Of New York Hospital Only, PAR INDEMNITY NETWORK 1 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 2 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 4 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 3 inpatient
Blue Care Elect, Blue High Performance, PAR Providers BROCKTON HOSPITAL INC 2 inpatient
New England Managed Care MERCY HOSPITAL INC DBA PROVIDENCE BEHAVIORAL 2 inpatient
New England Managed Care VHS ACQUISITION SUBSIDIARY NUMBER 7 INC DBA SAINT VINCENT HO 4 inpatient
Blue High Performance VHS ACQUISITION SUBSIDIARY NUMBER 7 INC DBA SAINT VINCENT HO 2 inpatient
New England Managed Care THE TRUSTEES OF NOBLE HOSPITAL INC 4 inpatient
Blue Care Elect, PAR Providers MOUNT AUBURN HOSPITAL 2 inpatient
Blue Care Elect, PAR Providers CAPE COD HEALTHCARE INC DBA CAPE COD HOSPITAL 2 inpatient

What Changed Behind the Scenes

Interestingly, despite the addition of these new fields, the overall data footprint has remained relatively stable. Files have been significantly consolidated, meaning fewer files now contain broader coverage. This has resulted in fewer files to load with similar overall data volume and improved data coverage. For Trek Health, the consolidation of files combined with richer metadata allows us to continue ingesting TiC data efficiently while expanding the analytical context around negotiated rates.

Looking Ahead

Most major payers have successfully implemented the CMS Schema 2.0 requirements, though some issuers are still lagging behind in full adoption. As payers fully transition to Schema 2.0, these new variables will unlock deeper insights into network structure, plan sponsorship, and hospital pricing dynamics, bringing even greater transparency to commercial healthcare reimbursement.

Download White Paper

Data Deep Dive: Working with the New Schema 2.0 Updates

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From Transparency to Prediction: Quantifying the Drivers of Physician Reimbursement Variation

This analysis uses Transparency in Coverage data to model how payers behave, not just what they pay. By linking reimbursement rates to physician characteristics, we uncover the patterns behind payment variation and transform transparency data into predictive intelligence. The result: a predictive view of rate dynamics that helps stakeholders anticipate trends and negotiate with data-driven confidence.

Download the White Paper

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Q3 2025 State of Commercial Reimbursement: Trek Health’s Quarterly Market Intelligence

Trek Health’s Quarterly Reimbursement Brief highlights emerging variability in commercial payment rates across U.S. payers, specialties, and geographic markets. With some segments experiencing double-digit growth and others notable declines, contracting performance is increasingly shaped by real-time payer behavior rather than historical norms. Through validated reimbursement trend analytics, contract intelligence, and policy monitoring, Trek equips provider organizations to anticipate market shifts, protect revenue, and negotiate with measurable leverage.

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Q4 2025 State of Commercial Reimbursement: Trek Health’s Quarterly Market Intelligence

Trek Health’s Q4 2025 Quarterly Market Intelligence report analyzes quarter-over-quarter commercial reimbursement movement across national payers, physician specialties, and U.S. states. While overall reimbursement improved following earlier declines, rate changes remained uneven—highlighting payer selectivity, persistent specialty outliers, and shifting geographic leverage. This report moves beyond static benchmarks by tracking real-time reimbursement changes, giving provider organizations actionable insight to identify negotiation risk early, protect rate parity, and respond proactively to evolving payer behavior.

Download the White Paper

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Reimbursement and Reality: The Economics of Breast Cancer Treatment

While breast cancer awareness efforts often focus on screening and treatment, one critical factor remains overlooked: how care is reimbursed. Payment structures shape far more than provider margins; they influence access, equity, and patient outcomes.

In this analysis of payer rates, Trek Health uses its Transparency Platform to analyze how reimbursement for breast cancer care varies across geography, commercial payer behavior, and public policy. The findings reveal a system that rewards disease burden rather than prevention which creates inequities that ripple through the entire care process.

Inside you’ll learn:

  • How reimbursement rates differ dramatically by state and payer
  • Why higher disease burden correlates with higher payment, but prevention does not
  • What these trends mean for provider strategy, patient access, and equity

Download the full analysis to see how transparency data can help reshape breast cancer care—turning financial insight into fairer outcomes.

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The Economics
of Payer Contract Management Automation: Quantifying Cost Savings & Revenue Lift

Trek Health's Contract Intelligence (CI) automates contract interpretation and policy maintenance, transforming unstructured payer data into actionable rules. Using industry benchmarks and multi-scenario modeling across clinic, multispecialty, and hospital environments, CI generates annual savings ranging from $80K to over $9.3M, driven by avoided denials, reduced administrative labor, and streamlined policy-update workflows. Our results show that CI functions as core financial infrastructure rather than a point solution, delivering structural value across the reimbursement lifecycle.

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The Payer Paradox: When Higher Rates Don’t Mean Higher Reimbursement

This analysis uncovers a critical paradox in commercial healthcare financing: the payers offering the highest contracted rates often deliver the lowest realized reimbursement once denials and administrative friction are accounted for. By introducing the Payer Generosity Index (PGI) and adjusted PGI (aPGI), Trek Health reveals how payer performance varies not only across insurers, but across specialties and service lines. These findings equip healthcare organizations with a clearer, data-driven framework for contracting, revenue optimization, and strategic planning in an increasingly complex reimbursement landscape.

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The Private Practice Playbook: Rate Negotiation Index Rankings for Specialty-Specific M&A Strategy

Physician economics are shifting as private equity and independent platforms redefine the workforce landscape. Trek Health’s Rate Negotiation Index Report quantifies the return on physician labor across states and specialties in a new lens: combining commercial reimbursement, physician salary, malpractice risk, and provider density into a single metric. This data driven foundation for smarter M&A strategy identifies the most economically sustainable opportunities across the U.S. for physician recruitment and network expansion.

Download the White Paper

Published on

March 12, 2026

Written by

Jordan Kassab

Over the past few months, we’ve discussed the upcoming Transparency in Coverage (TiC) Schema 2.0 updates. Now that the new schema is live, it’s time to take a closer look at what actually changed in the data.

At first glance, the update introduces six new variable fields: two at the Table of Contents (TOC) level and four at the negotiated rate level. These additions expand the contextual metadata surrounding negotiated rates and improve clarity around plan ownership, provider networks, and hospital billing structure.

New Table of Contents Fields

Two new fields were added at the file-level metadata layer:

  1. Issuer Name (issuer_name): The name of the plan’s issuing organization, providing clearer attribution of the entity responsible for the plan.
  2. Plan Sponsor Name (plan_sponsor_name): When the plan ID type is listed as an EIN, this field captures the common business name of the sponsoring employer or organization.

New Rate-Level Fields

Four additional variables were added at the negotiated rate level:

  1. Business Name (business_name):  The common business name associated with the EIN used in the value field.
  2. Network Name (network_name):  The consumer-facing name of the provider network associated with the rate. This helps distinguish between multiple networks offered by the same payer.
  3. Severity of Illness (severity_of_illness): Some DRG-based negotiated rates depend on the patient’s severity of illness. This field captures that classification when applicable.
  4. Setting (setting): Specifies whether a negotiated rate applies to inpatient, outpatient, or both settings.

These additions make it easier to distinguish between insurers and employer-sponsored plan sponsors, an important distinction when analyzing plan-level negotiated rates. Together, these variables provide more granular context around negotiated rates, particularly for inpatient billing structures and multi-network payer plans. While many of these fields were already established on our platform within Plan Types selection, we are set to ingest and incorporate these new data such as Severity of Illness as a new data point in the platform.

Insurance Network Table
NETWORK_NAME BUSINESS_NAME SEVERITY_OF_ILLNESS SETTING
Preferred Blue PPO GARRISON FAMILY CLINIC 3 inpatient
HMO POS PROVIDERS, NY PPO State Of New York Hospital Only, PAR INDEMNITY NETWORK 1 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 2 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 4 inpatient
New England Managed Care EMERSON HOSPITAL DBA EMERSON HOSPITAL HOME HEALTH SERVICES 3 inpatient
Blue Care Elect, Blue High Performance, PAR Providers BROCKTON HOSPITAL INC 2 inpatient
New England Managed Care MERCY HOSPITAL INC DBA PROVIDENCE BEHAVIORAL 2 inpatient
New England Managed Care VHS ACQUISITION SUBSIDIARY NUMBER 7 INC DBA SAINT VINCENT HO 4 inpatient
Blue High Performance VHS ACQUISITION SUBSIDIARY NUMBER 7 INC DBA SAINT VINCENT HO 2 inpatient
New England Managed Care THE TRUSTEES OF NOBLE HOSPITAL INC 4 inpatient
Blue Care Elect, PAR Providers MOUNT AUBURN HOSPITAL 2 inpatient
Blue Care Elect, PAR Providers CAPE COD HEALTHCARE INC DBA CAPE COD HOSPITAL 2 inpatient

What Changed Behind the Scenes

Interestingly, despite the addition of these new fields, the overall data footprint has remained relatively stable. Files have been significantly consolidated, meaning fewer files now contain broader coverage. This has resulted in fewer files to load with similar overall data volume and improved data coverage. For Trek Health, the consolidation of files combined with richer metadata allows us to continue ingesting TiC data efficiently while expanding the analytical context around negotiated rates.

Payer Data Comparison Table
2026 Q1 Data 2025 Q4 Files 2025Q4 - 2026Q1 Diff
Payer Number of Files File Size (GB) Number of Files File Size (GB) File Count Difference File Size Difference (GB)
Anthem 1,473 14,866 1,611 14,524 -138 -341
BCBS 8,456 3,904 12,238 5,883 -3,782 -1,979
Aetna 8,355 18,687 5,873 20,291 2,482 -1,605
UHC 6,588 70,391 6,157 50,692 431 19,699

Looking Ahead

Most major payers have successfully implemented the CMS Schema 2.0 requirements, though some issuers are still lagging behind in full adoption. As payers fully transition to Schema 2.0, these new variables will unlock deeper insights into network structure, plan sponsorship, and hospital pricing dynamics, bringing even greater transparency to commercial healthcare reimbursement.