Market Intelligence for Healthcare

Answers to your most important
strategy questions.

Our data-driven insights into healthcare demand, supply and yield enable healthcare stakeholders to develop evidence-based strategies.
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OUR DATA FOUNDATIONS

The data you need to compete in healthcare's negative-sum game

The U.S. health economy is not a growing market in the traditional sense — the pool of commercially insured patients is shrinking every year — so any gain in market share for one stakeholder comes at the expense of another. Because the rules of a negative-sum game are immutable, the status quo is unsustainable and, therefore, a losing strategy. Competing effectively requires understanding your market through three lenses: demand, supply and yield.

DEMAND • VISITS

What care is happening?

Visits data shows how demand at your facilities compares to the competition, with visibility into individual patient journeys and referrals.

SUPPLY • PROVIDERS

Who are the providers?

Provider data includes individual clinicians and healthcare organizations, presents an accurate view of supply in your market.

YIELD • RATES

How much does it cost?

Pricing data across health plans, settings of care and service lines equips stakeholders to deliver (or demand) value for money.

One comprehensive view of your market

Your AI Strategist

Every market is unique.
Your strategy should be, too.

Generic benchmarks and national averages can't answer your specific questions. With the free version of Oria, anyone can ask about projected demand, existing provider supply or negotiated hospital rates. When your question requires proprietary claims data or deeper analysis, upgrade to premium access.
Oria Lite compared with Oria
Tap a row for details Lite
FreeOria LiteAsk Oria simple questions about our free datasets.
Oria
PremiumOriaAnswer complex questions to inform your strategy.
The Data
Utilization data Oria LiteNot included OriaVisits dataset, built on all-payer claimsUtilization, market share, provider referrals and more, based on claims for 300M+ Americans across inpatient and outpatient settings
Provider data Oria LiteBasic Provider ProfilesCredentials, specialty and primary practice location, validated against claims OriaProfiles plus in-depth practice patternsEverything in Oria Lite, plus in-depth information on provider practices, affiliations, locations and referral patterns
Demand forecasts Oria LiteNational trends10-year forecasts by service line and care setting OriaForecasts down to the ZIP code10-year forecasts by service line and care setting
Hospital prices Oria LiteRates posted by hospitals*Payer-specific negotiated rates and discounted cash prices from the hospital price transparency files OriaComing soon
The Expertise
Methodology Oria LiteA narrow set of Trilliant’s methodologyScoped to query specific answers from the dataset OriaMethodology from thousands of analysesExpansive healthcare knowledge, including the ability to account for data visibility and market characteristics that separate the best answer from a plausible one
Analysis Oria LiteOne question, one lookupPlain-language answers to factual questions, with no query-building required OriaMulti-step, across datasetsBreaks complex questions down into steps and assembles a well-reasoned answer; iterative process to ensure the analysis matches the user’s intent
Charts & downloads Oria LiteNot included OriaGraphs and data downloads
Expert support Oria LiteNot included OriaConsult with our teamAccess to our Strategic Resources Group (SRG) to support high-stakes decisions
  Get Started With Oria Talk With Our Team

*Rates reflect what hospitals publish. Trilliant Health does not verify or guarantee the accuracy of hospital-reported data.

See It In Action

Watch the premium version of Oria answer a strategy question.

Oria is our AI Strategist. Users ask it plain-language questions and get on-demand answers about their market, drawn from our all-payer claims dataset, provider directory and demand forecasts. Unlike general-purpose LLMs, which produce "average" answers, Oria aims for the best answer. It combines claims data on more than 300 million Americans, methodology from more than ten thousand analyses and a proprietary harness that plans, retrieves and verifies each response.

 
 

Ask us the questions you can't answer today.

We'll deliver an answer you can stand behind.

OUR RESEARCH

Research on the health economy.
Open to everyone.

TRENDS REPORT • OCTOBER 2026

The U.S. health economy is a textbook case of a tragedy of the commons: it is governed by incentives that reward individual actors for behavior the collective cannot sustain. As it stands, no one is incentivized to improve health. 

Explore Our Research
A Tragedy of the Commons

117.1%

Increase in pediatric visits for pervasive developmental disorders between 2019 and 2025.

70%

The percentage of Americans that believe the healthcare system has major problems or is in a state of crisis.

27%

The amount of quality measure directly tied to outcomes; a feature of a system that monetized volume over outcomes.

FROM OUR FOUNDER

"Every other industry in America uses data to develop evidence-based strategies, and only in healthcare do we rely on state hospital associations to report data from two years ago to decide what we're going to do in 2027."

Hal Andrews · President & CEO, Trilliant Health

The people behind the work

Meet the team...

Learn more about the team that builds the data, writes the research and works alongside clients to put it to use.
  • Hal Andrews
    Hal Andrews

    President and Chief Executive Officer

    President and CEO since Trilliant Health's founding in June 2017, with more than 25 years' experience as an entrepreneur, investor and healthcare business leader.

  • Allison Oakes, Ph.D.
    Allison Oakes, Ph.D.

    VP, Chief Research Officer

    Brings a comprehensive perspective to the complexities of the U.S. healthcare system. Published in leading medical journals.

  • Matt O'Neill
    Matt O'Neill

    Chief Data Officer, EVP Engineering, Machine Learning, Product

    Strives to understand the data problems plaguing the healthcare industry, and how we can apply modern approaches in engineering and data science to solve them.