About MedicAnalyze
Our Mission
MedicAnalyze makes public Medicaid payment data accessible and easy to understand. We believe healthcare cost transparency helps patients, researchers, and policymakers make more informed decisions.
Data Sources
All cost data comes from the U.S. Department of Health & Human Services (HHS) Medicaid Provider Spending dataset. This publicly available dataset contains claims-level aggregate data for Medicaid-covered procedures across the United States.
Provider information (names, addresses, specialties) comes from the NPPES National Provider Identifier (NPI) Registry, also publicly available from the Centers for Medicare & Medicaid Services (CMS).
- data.medicaid.gov — HHS Medicaid Data
- NPI Registry — NPPES Provider Data
Methodology
We process the raw HHS dataset to produce useful cost comparisons:
- Procedure clustering: Related HCPCS billing codes are grouped into recognizable procedure categories (e.g., "MRI," "Blood Work," "Office Visit") for easier browsing.
- Geographic matching: Each provider's NPI is matched to their registered practice location to enable city-level comparisons.
- Cost aggregation: Average paid amounts are calculated from total Medicaid payments divided by total claims. We show the range (min–max) of individual provider averages within each city.
- Quality threshold: Pages are only generated when a procedure-city combination has at least 10 claims, ensuring statistical reliability.
Important Disclaimers
- Medicaid data only: Costs shown reflect Medicaid reimbursement amounts. Private insurance, Medicare, and self-pay costs are typically different.
- Not medical advice: This site is for informational purposes only. Always consult healthcare providers for medical decisions.
- Averages, not quotes: The amounts shown are statistical averages. Your actual costs will vary based on your specific situation, coverage, and provider.
- Public data: All information is derived from publicly available government datasets and is provided as-is.
Contact Us
Questions or general feedback? Use the form below and we'll get back to you.
Notice incorrect data? Use our Data Feedback Form instead.