Equity Health AI is building a free healthcare shopping platform for common outpatient procedures. We transform fragmented hospital and ambulatory surgery center pricing into clear comparisons of cost, quality, convenience, and value—so consumers can make informed choices before receiving care.
The initial platform will focus on 20 high-volume, shoppable outpatient procedures.
Equity Health AI operates in the U.S. healthcare price transparency, outpatient procedure shopping, and AI decision-support market.
Equity Health AI helps U.S. patients, employers, payers, and healthcare partners turn fragmented price transparency data into actionable outpatient procedure comparisons. The platform is designed to address the problem that healthcare prices are increasingly public, but still difficult for consumers to understand, compare, or use.
Price variation in a single common procedure can affect millions of people. With approximately 3.8–4.0 million cataract surgeries performed annually in the United States, even modest savings of $500 per procedure could represent roughly $1.9–$2.0 billion in potential annual savings for American patients.
Federal transparency rules have made more healthcare pricing data available, but the data remains fragmented, technical, inconsistent, and hard for patients to compare. Equity Health AI is building tools to normalize, explain, and operationalize that data.
Compare expected procedure costs across hospitals, ambulatory surgery centers, imaging centers, and specialty clinics.
Combine cost with CMS quality metrics, facility ratings, access, and patient experience indicators.
Normalize messy data, detect pricing anomalies, explain cost differences, and identify high-value options.
Support future employer, payer, and provider integrations using healthcare APIs and structured datasets.
Equity Health AI is in the early prototype, data acquisition, and customer discovery phase. The initial product focuses on common outpatient procedures where consumers can compare options before receiving care.
The first product release will focus on procedures that are frequent, shoppable, and often planned in advance. These are services where transparency can help consumers make better financial decisions before care is delivered.
Together, these common services represent approximately 172 million procedures and imaging exams in a single year.
Equity Health AI was founded by Brian Palmer, a healthcare interoperability architect, product leader, and software engineer with more than 30 years of experience building large-scale technology platforms.
Brian has worked across healthcare, biotechnology, cloud platforms, federal systems, and mission-critical software environments.
Experience with FHIR APIs, SMART on FHIR, CMS/ONC interoperability compliance, payer data, clinical data, and healthcare cloud architecture.
Experience includes Sentara Health, Wellmark Blue Cross Blue Shield, 1upHealth, CRISPR Therapeutics, Harvard School of Public Health, and the U.S. Department of Veterans Affairs.
Healthcare and life sciences systems experience involving large-scale patient records, genomic datasets, interoperability platforms, and cloud-native data pipelines.
Former early engineering leader at 1upHealth with direct experience building healthcare interoperability products in a startup environment.
Consumers deserve more than a raw price list. Equity Health AI is designed to help users understand total value across provider type, location, quality, insurance, and personal preferences.
The roadmap focuses on validating consumer value, building a reusable pricing data foundation, and expanding into partner-ready services.
Acquire and normalize transparency data.
Build searchable procedure comparisons.
Explain prices and identify savings.
Launch consumer-first mobile workflows.
Support employers, payers, and providers.
Equity Health AI is advancing a more transparent, affordable, and equitable healthcare marketplace by helping consumers understand cost and quality before treatment.
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