Why Complete Healthcare Price Transparency is Essential - And What It Takes to Get It Right
- Jerry DiMaso

- May 14
- 4 min read
Comprehensive healthcare price transparency data has become an essential input for providers, consultants, and healthcare systems alike, helping to support fair negotiations, data driven strategic planning, and stronger financial forecasts.
We outline why having the most complete healthcare price transparency data is critically important and provide a framework for avoiding the common pitfalls in using transparency data.

Quick Recap
We’ve talked before about how transparency data isn’t always as transparent as it sounds but here's a refresher of why it can be challenging to create the complete view of the data:
File Inflation - Some payers publish massive files filled with inflated provider lists that include non-contracted entities, adding volume but not value—and making the files harder to process. Aetna and Anthem Elevance are textbooks examples of this.
Temporary access windows - Files are sometimes hosted behind APIs with download limits or expiration windows, making it difficult to access everything in time. This is an approach UnitedHealthcare takes among others.
Non-descriptive plan names - Plans labeled with vague or unrecognizable names can be overlooked unless a system is in place to retrieve and examine every file, regardless of how it’s labeled.
Inconsistent file mapping and buried rates - Different health plans point to different file sets. Some overlap, others contain unique data. Without capturing and parsing everything, critical pieces can be missed.
Why Complete Healthcare Price Transparency Data Is Non-Negotiable
So yes, while accessing healthcare price transparency data can be challenging, what's often overlooked is the absolute importance of getting the most detailed and comprehensive view possible. Whether you're advising a provider on a contract renewal, benchmarking rates across markets, or trying to understand how a payer’s network structure has changed, having all the granular data is foundational.
Missing even one set of files, or failing to associate it properly with the right health plan, can mean overlooking entire reimbursement structures or excluding payer-provider arrangements that are critical to the bigger picture.
Here’s why completeness matters:
Contractual visibility and alignment - Knowing every rates that is associated with each health plans and provider groups allows your team to clearly understand contract terms, uncover hidden rate structures, and anticipate negotiation leverage points. Knowing what’s in the data—and what’s missing—affects your leverage at the negotiation table.
Risk reduction - Incomplete data can lead to assumptions that don’t hold up under scrutiny, creating risk for your organization or clients.
Operational efficiency - Cleaner, more complete data reduces the need for manual follow-ups, rework, or reliance on anecdotal evidence.
Historical context - Being able to trace how rates and relationships have changed over time can reveal patterns, disruptions, or opportunities for improvement.
Put simply, the more complete your data, the better your decisions. And in today’s climate, precision is a competitive advantage.
What a Complete Approach Looks Like
The good news is that this is possible by following a framework with a few key principles:
All files, every time - Every transparency file from every payer must be captured—regardless of whether the health plan name looks meaningful at first glance. Every file represents a potential set of unique contract terms.
Full parsing and matching - Files need to be deeply parsed, flattened, and matched back to health plans in a structured, consistent way. This is especially true for JSON files with nested structures that mask key data. Every plan type, including employers, should be accessed and parsed and mapped appropriately for use in analysis.
Data validation and cleanup - Irregularities like broken links, mislabeled plan IDs, or non-compliant formats—need to be flagged and resolved wherever possible to avoid misinterpretation.
Historical access - The ability to see past versions of data, not just current snapshots, provides essential context for historical trends and network changes. This enables retrospective analysis that supports smarter forecasting.
Self-service usability - All of this must be made accessible to analysts, strategists, and managed care professionals—without requiring heavy engineering support. That means intuitive interfaces, searchability, and the ability to filter by attributes such as provider, plan, or rate attribute.
All of these capabilities add up to more than technical best practices. They represent the core infrastructure required to make price transparency truly actionable.
Payerset is the Platform Built for These Needs
We’ve built our platform from the ground up to meet these needs. Every piece of our technology stack is designed to support full data access, ease of use, and real-time decision-making.
We collect all files from every payer and TPA that’s compliant with the federal Transparency in Coverage rule.
We associate rates back to their correct health plans, even when plan names are vague or inconsistent.
We ensure representation across more than 300 carriers and third-party administrators, including both national brands and regionals.
Our longitudinal archive gives users the ability to trace changes over time—especially important when providers are added or dropped, or when contract terms change with little notice.
With Rate Explorer, business users can query and analyze pricing structures via an intuitive self-service portal—no coding or data prep required.
For data and analytics teams, our Data Lake product provides structured, historical files ready for integration into BI platforms or internal tools.
We also offer robust data quality management, ensuring your team isn’t spending hours cleaning or reconciling files manually.
Who This Is For
Our platform is built for professionals who need precision, speed, and flexibility:Managed care experts, provider strategy leaders, healthcare finance analysts and consultants, revenue cycle consultants, and advisory firms all use our platform to do work that depends on nuance and completeness.
These users don’t just need a general idea of rate levels or averages. They need specifics—at the CPT code level, across multiple plans and geographies, historically and in real time.
When your work influences contract terms, network participation, strategic growth, or reimbursement modeling, you can’t afford to miss a data point. And the tools you use must be as thorough and reliable as the work you deliver.


