Hospital price transparency analytics
Explore hospital-published machine-readable files without hiding source dates, rate methodology, payer labels, billing classes, or data-quality holds.
Explore MRF intelligence →Healthcare market intelligence
Investigate hospital price transparency, benchmark negotiated rates, resolve provider identity and ownership, and trace every answer to its public evidence.
Current platform insights use governed public data; claims-derived analytics and regulatory network adequacy are not yet available. Future customer claims must be de-identified before Healthdex receives them. Membership and eligibility data, individual member analysis, and member disruption are not part of the product scope.
The platform
Healthdex turns fragmented public healthcare data into connected, market-level intelligence. Every view keeps the lineage, definitions, and limits decision-makers need to use the evidence responsibly.
Why the evidence mattersEvidence-first analytics
Explore hospital-published machine-readable files without hiding source dates, rate methodology, payer labels, billing classes, or data-quality holds.
Explore MRF intelligence →Compare facilities at an explicit billing-code and payer grain, preserve contributing records, and distinguish dollar, percentage, algorithm, and statistical terms.
Understand the numerator, denominator, payment family, period, setting, and formula behind supported Medicare-relative comparisons.
Connect NPI, CCN, organizations, facilities, service locations, and effective-dated relationships while preserving ambiguity for review.
Investigate evidence-backed ownership and organizational relationships alongside quality, financial context, public need, and published rates.
Trace an analytical result through checksums, immutable source references, source coordinates, transformations, and explicit limitation states.
One connected view
Understand provider footprints, ownership, quality, financial health, and community need in one connected market view.
Explore hospital-published rates alongside Medicare benchmarks, payer and plan normalization, and source-level evidence.
Use governed public evidence to inform network strategy, contracting conversations, market development, and cost-containment analysis.
Built for your market
From an early market question to a defensible strategic decision, Healthdex helps teams work from the same reliable evidence.
Build stronger market strategies, identify gaps in available public evidence, and focus contracting conversations where they matter.
Understand competitive position, evidence-backed provider relationships, ownership, and public community context.
Move from raw public files to governed, traceable intelligence without losing the source evidence.
Research library
White paper
How to assess source identity, dates, completeness, methodologies, and publication eligibility before using a rate.
Methodology brief
A reproducible framework for choosing a payment family, period, setting, numerator, denominator, and comparison basis.
Demo
See how Healthdex connects provider identity, ownership, market context, and hospital-published rates without erasing uncertainty.
Healthdex news
Intelligence update
Healthdex publishes product and research updates for leaders working with provider, rate, quality, ownership, and community evidence.
Frequently asked questions
It is the structured analysis of hospital-published standard charge files. Healthdex preserves facility identity, payer and plan labels, billing-code grain, methodology, source dates, quality states, and record-level provenance.
Healthdex compares supported hospital-published rates only at an explicitly selected grain and shows the coverage and source records behind the result. It does not silently mix rate methodologies or infer claims utilization.
Rate provenance is the evidence chain from a displayed result back to the publisher artifact, source location, acquisition record, normalization method, and governed decisions used to produce it.
The current product uses governed public evidence. It does not ingest membership or eligibility data and does not produce individual member analysis or member disruption conclusions.
Make the market make sense