Access the real cost of healthcare for your work.
Healthcare price transparency created an unprecedented research opportunity, and an unprecedented data problem. The raw files are vast, messy, and inconsistent. SumHealth delivers them as a clean, comprehensive dataset built for rigorous analysis, with solutions to fit any research budget.
- Nationwide dataset
- Procedure-level detail
- Bulk export & API
A landmark dataset locked in unusable files
The transparency mandates released the most comprehensive pricing data healthcare has ever had, but in a form that defeats most research teams before the analysis begins.
Massive, messy raw files
MRF datasets run into the terabytes, with formats that vary by payer and hospital. Preparing them for analysis is a major undertaking on its own.
Inconsistent structure
Codes, plan identifiers, and rate definitions differ across sources. Without careful normalization, cross-payer and cross-market comparisons break down.
Coverage gaps undermine rigor
Incomplete data produces biased findings. Robust studies need comprehensive, nationwide coverage across hospitals, payers, and procedures.
No clean longitudinal view
Tracking how rates evolve requires consistently structured snapshots over time, something raw, ad-hoc file pulls can't reliably provide.
Research-ready pricing data, at national scale
SumHealth normalizes the full transparency dataset into a consistent, comprehensive resource for health economics research and policy analysis.
Access the full dataset for analysis
Stream normalized, nationwide hospital and payer rates directly into your statistical environment, with the granularity rigorous studies require.
- Bulk NDJSON export for large-scale analysis
- Procedure-level CPT and DRG detail
- Cross-reference hospital and payer rates
- Filter by geography, specialty, and plan type
Request data built for your study
Specify the cohorts, geographies, codes, and time periods your research requires, and receive a bespoke, citation-ready dataset built to match.
- Scoped to your study design
- Procedure, payer, and geography granularity
- Consistent structure for reproducible work
Ground findings in real posted prices
Explore real, hospital-posted procedure prices across the country as a reference point for studies, case work, and methodology validation.
- Real posted prices from 5,000+ hospitals
- Validate methods against observed prices
- Free to explore, no sign-up required
Explore rate variation and trends
Use structured benchmarks to study price dispersion, market concentration, and rate trends across payers and geographies.
- Analyze nationwide price variation
- Support peer-reviewed studies with real data
- Examine rate trends over contract cycles