Healthcare Price Transparency Solutions

Section 01What the law requires

Two federal rules created the foundation for healthcare price transparency.

The Hospital Price Transparency Rule took effect January 1, 2021. Every U.S. hospital must publish two things:

• A machine-readable file (MRF) with negotiated rates for every item and service — payer-specific prices, cash prices, and de-identified minimum and maximum negotiated rates.
• A consumer-friendly display of at least 300 shoppable services, in a format patients can understand and compare.

The Transparency in Coverage Rule extended similar requirements to commercial health plans. Beginning in 2022, insurers must publish machine-readable files of in-network negotiated rates and out-of-network allowed amounts. Beginning January 1, 2023, health plans must offer online tools where members can access personalized cost-sharing estimates in real time.

The data is actively being used by massive healthcare enterprises today. Hospitals use MRF data to benchmark their rates against competitors and prepare for contract negotiations with payers. Carriers use the same data to analyze competitive positioning when assembling networks and setting rates. Consultants, researchers, and analytics firms have built entire businesses on top of it.

In practice, the data has become a sophisticated tool for the most powerful players in healthcare to sharpen their negotiating positions.

The employer is the only party at the table not meaningfully using price transparency today.

Section 02Two types of transparency data — and why the difference matters

The two federal rules created two different types of machine-readable data.

Hospital MRFs are published by hospitals under the Hospital Price Transparency Rule. They contain what each hospital reports charging — gross charges, cash prices, and payer-specific negotiated rates.

As of July 1, 2024, hospitals must use a standardized CMS template format, ending years of inconsistent file structures. Under the CY2026 OPPS Final Rule, hospitals must disclose median, 10th-percentile, and 90th-percentile allowed amounts plus the count of allowed amounts for formula-based prices.

Data quality has improved considerably since the rule took effect in 2021. But the core limitation remains: these are rates as the hospital reports them, not verified by the payer, and not organized by employer plan.

Payer MRFs are published by commercial health plans under the Transparency in Coverage Rule. They contain what the plan has actually contracted to pay — the negotiated rates between the insurer and each in-network facility.

Hospital MRFs and payer MRFs are materially different. For a self-funded employer, payer MRFs are the number that matters: not what the hospital says it charges, but what the plan has agreed to pay.

Section 03How most healthcare cost tools use this data — and where each falls short

Most healthcare cost tools draw on one of three data sources. Each has different limitations.

Claims aggregates

Claims aggregates are the foundation of the oldest and most widely deployed cost estimation tools. FAIR Health — a nonprofit that maintains tens of billions of historical claims contributed by private insurers — is the standard for out-of-network benchmarks, embedded in state regulations and widely used for adjudication. Healthcare Bluebook (now Valenz Bluebook) is the most recognizable employee-facing tool in this tier, powering cost estimators inside carrier member portals and TPA shopping tools.

Claims aggregates are backward-looking averages. They tell you what plans paid across a population in the past, by procedure and geography. They do not tell you what your specific plan will pay at a specific facility today.

Aggregated MRF data

Aggregated MRF data is what a newer generation of platforms is built on. Turquoise Health and Serif Health are the most prominent — ingesting hundreds of terabytes of payer MRF data monthly, cleaning, deduplicating, mapping NPIs to practice locations, and stripping ghost rates for services providers don’t actually perform.

The result is real current contracted rates, not historical averages. These platforms were built primarily to serve providers and payers doing contract negotiations, where market benchmarks are exactly what’s needed.

That design choice creates a gap for employee-facing guidance. The rates are aggregated across employers on a given network, not resolved to a specific employer’s rate schedule.

Formula‑based contracts are often filtered out or not directly usable in standard indexes, because resolving them requires pairing contract terms with hospital charges and, for employers, with plan‑specific design.

Those contracts and ghost‑rate rows account for a substantial share of facility‑level pricing — precisely where facility cost variation is largest.

Employer-specific rate data

Employer-specific rate data is what Outfox uses. Rather than aggregating across a network, Outfox identifies the rate schedule that applies to the employer’s specific plan, then resolves formula-based contracts by combining payer MRF contract terms with hospital MRF charge data. It handles percentage-of-billed-charges, Medicare multipliers, per diem rates, and other contract structures.

The result is the actual contracted rate that applies to that employer’s plan, at that facility, for that service.

Beyond payer MRF data, many self-funded employers have negotiated contracts that exist entirely outside the MRF system: direct contracts like center-of-excellence agreements and bundled payment deals. These rates are often the most favorable in the plan — and the most invisible to employees.

Because Outfox builds a custom AI model for each employer, these contracts can be ingested directly and surfaced first when they’re the right answer for a given care decision.

The difference matters most for facility-level cost comparisons. Formula-based contracts are most prevalent there, variation between facilities is largest, and plan-specific rates are most likely to diverge from the network average.

For self-funded employers, this is also where the savings are. Facility choice is one of the largest controllable cost drivers in a health plan, and most of that variation is invisible to employees making care decisions without the right data.

Guiding an employee to a lower-cost, high-quality facility for a shoppable procedure can save the plan thousands of dollars on a single claim. At scale across a population, it is one of the highest-leverage cost-containment levers available without changing carriers, networks, or plan design.

Section 04Why price transparency alone isn't enough

Price transparency assumes something that is rarely true: that the person shopping already understands the healthcare system well enough to use the data.

They don’t. That gap is not a failure of intelligence but of design. The healthcare system is incredibly complicated, and until recently there was no practical way to close that gap in real time.

Consider what an employee actually faces before price is even relevant:

• Clinical guidance. Do I even need to see a doctor? If so, which kind? Is joint pain a rheumatologist, an orthopedist, or a PCP issue? Should this be urgent care or a scheduled appointment? Most employees don’t know — and a price file won’t tell them.
• Plan design. How does my deductible work? What’s the difference between a copay and coinsurance? Does this require prior authorization? Does this drug go through pharmacy or medical benefits? What point solutions — condition management programs, virtual care, centers of excellence — does my employer offer that might apply here? The Summary Plan Description is written for lawyers, not patients.
• Network status. Is this provider actually in network under my specific plan? Network status varies by plan, by location, and by facility. The same physician can be in-network at one hospital and out-of-network at another building down the street.
• Clinical quality. Is this provider actually good at this procedure? Not star ratings or patient satisfaction scores — real outcomes data. Complication rates. Readmission rates. Adherence to evidence-based guidelines. Without that, “lower cost” is not the same as “better value.”
• Pharmacy. Is my medication covered? At what tier? Is there a generic or therapeutic equivalent that costs a fraction of the price? Most employees find out at the pharmacy counter, after the prescription is already written.

A price file doesn’t answer any of these questions. Most employees just go where their doctor says — not because they don’t care about cost, but because they don’t have what they need to decide differently.

AI changes this information asymmetry. For the first time, it’s possible to give every employee the same contextual intelligence that used to require years of experience working in healthcare to understand.

Section 05Why no one inside the system is fixing this for employers

The Affordable Care Act established the Medical Loss Ratio (MLR): a requirement that fully insured health plans spend at least 80–85% of premium revenue on medical claims. If they spend less, they owe rebates. The intent was to protect consumers by capping insurer profit margins.

The result has been the opposite.

The MLR caps the margin percentage, not the total revenue. A carrier that spends more on claims can still grow profits, as long as it raises premiums proportionally. Higher claims mean higher premiums mean higher absolute profit at the same margin. There is no structural incentive to reduce the cost of care.

The result is a system where insurance carriers benefit from higher spending, hospitals benefit from higher prices, and the employer — who bears the full financial risk of every claim — has historically had no independent data to push back with.

Section 06Types of healthcare price transparency solutions

Most healthcare price transparency solutions fall into one of five categories. Each solves a specific piece of the problem.

Care navigation platforms

Quantum Health and HealthJoy lead with human advocates. Quantum's Healthcare Warriors and HealthJoy's concierges are the core offering, with an app layer on top. Both drive utilization of existing benefits and reduce HR burden. Guidance is delivered through phone, chat, and message queues staffed by advocates.

Provider quality platforms

Garner Health ranks physicians using large claims databases and evaluate clinical outcomes, complication rates, adherence to evidence-based guidelines, and cost efficiency. It pairs those rankings with financial incentives that reward employees for seeing top-ranked providers through an HRA that covers out-of-pocket costs.

It is physician-focused, not facility-focused. The facility-fee variation that drives a large share of cost is not the primary lever.

Benefits Q&A and AI assistants

Avante is a benefits intelligence platform, not a price transparency tool. It answers benefits questions, unifies data across HRIS, claims, and point solutions, and surfaces analytics for HR teams.

Healthee is a broader benefits navigation platform: AI assistant, plan comparison, cost estimator, telehealth, mental health, pharmacy navigation, and claims analytics.

Transcarent's WayFinding answers benefits questions, schedules care, and connects employees to virtual physicians, all through Transcarent's own care ecosystem.

Cost shopping tools

Cost shopping tools present price comparisons to employees at the point of care decision. Valenz Bluebook (formerly Healthcare Bluebook) is often embedded in carrier member portals and TPA platforms as a standard cost and quality estimator. TALON’s MyMedicalShopper takes a similar approach with a stronger incentive layer: employees search by procedure, see providers ranked by price, and earn rewards that flow into HRA, HSA, or card-based accounts when they choose lower-cost options. Handl Health takes a broader approach, offering network analytics and claims repricing tools for sponsors and TPAs, with cost estimates surfaced to members.

These are primarily shopping experiences. An employee has to already know what they need, find the tool, look up the procedure, and interpret the results on their own.

Data infrastructure vendors

Turquoise Health and Serif Health have built sophisticated MRF data infrastructure, ingesting payer data monthly, cleaning and normalizing rates across hundreds of payers and thousands of providers. Their data powers many of the tools above.

These platforms aggregate rates across all employers on a given carrier network. Their primary customers are providers, payers, and consultants using the data for contract negotiations, benchmarking, and analytics, where market-wide comparisons are the point.

Section 07How Outfox makes price transparency actionable

Outfox builds a custom AI model for each employer, not a shared product configured for many. Each model is fine-tuned on the employer’s plan data and continuously updated based on how their employees use the product and on rules the employer or advisor defines.

That architecture is what makes three things possible:

1. Your plan’s actual rates, with facility-level guidance

Most tools show what the network typically pays. Outfox builds a model around your specific plan — your contracted rates, your plan design, your direct contracts and point solutions. Two employers on the same network can be on materially different rate schedules; Outfox identifies which one actually applies to you. Where contracts are expressed as formulas, it resolves them into expected dollar figures.

That makes facility-level guidance possible. The same procedure at a hospital outpatient department can cost two to five times more than at an ambulatory surgery center, depending on the procedure and market. Outfox accounts for how billing works at each site of care and guides employees to the lower-cost, high-quality option.

2. Quality data that goes beyond patient ratings

Cost guidance without quality context is incomplete. Outfox includes the FoxIndex: episode-level outcomes data across a very large population, measuring potentially avoidable complications, unplanned readmissions, and ER visit rates, risk-adjusted for patient acuity and benchmarked against similar providers in the same market.

Price and quality are not correlated in healthcare. Higher cost does not mean better outcomes. FoxIndex makes that visible.

3. Plain-language answers based on the employee’s actual plan

Employees ask a real question and get a useful answer. “Where should I go for a colonoscopy?” “Is this provider in-network?” “Does my insurance cover this medication?” Outfox accounts for deductible, copay, prior auth rules, and network status. Point solutions the employer has already paid for surface when they’re the right answer, driving utilization of benefits that would otherwise go unused. Pharmacy works the same way: employees can check coverage, understand cost-sharing, and find lower-cost alternatives before they fill the prescription.

For advisors and plan sponsors, Outfox also creates a clearer cost-containment story. It shows where variation exists inside the existing network and gives employers a practical strategy for reducing avoidable spend without changing carriers, networks, or TPAs.

Section 08What employers and advisors should ask any transparency vendor

When evaluating healthcare price transparency solutions, the right questions are not just “do you have the data?” They are:

• Does the solution use the employer’s actual contracted rates or just market averages?
• Can it ingest direct provider contracts and other customizations that exist outside the carrier’s MRF?
• Can it answer plan-specific questions about deductibles, copays, and prior auth?
• Does it compare facilities, not just physicians?
• Does it include quality information alongside cost? And how does the vendor define “quality” — clinical outcomes or online reviews?
• Can the guidance logic be explained clearly?
• Does it cover pharmacy: formulary coverage, tier and cost-sharing, and lower-cost alternatives like generics or therapeutic equivalents?
• Does it help advisors and employers identify and measure cost-containment opportunities?

If the answer to most of these is no, the solution may be transparency in name only.

Section 09Make healthcare price transparency actionable

Most employers already have access to healthcare pricing data. The problem is turning that data into better decisions.

Outfox helps self-funded employers and advisors make price transparency actionable by turning contracted rates, plan documents, and quality data into answers that help employees save money and get better care.