Q1 2025 MRF Data Quality Report: Trends Across 700+ Payer Files
SumHealth's quarterly analysis of machine-readable file quality across the U.S. payer landscape — covering schema compliance, NPI accuracy, file accessibility, and year-over-year improvement trends.
Key Findings
SumHealth’s Q1 2025 analysis of 712 payer MRF publishers reveals continued improvement in data quality, with meaningful gaps remaining in provider identifier accuracy and schema version compliance.
Schema Compliance
- 68% of payer files are now published in the current CMS schema v2.0.0, up from 54% in Q4 2024
- 23% remain on schema v1.2 (deprecated as of January 2025)
- 9% use schema extensions or proprietary formats that require custom parsing logic
File Accessibility
- Average MRF file accessibility rate improved to 94.2% across monitored publishers (up from 91.8% in Q4 2024)
- 41 publishers had at least one accessibility outage exceeding 24 hours during Q1
- The 10 largest national payers maintained 99%+ accessibility throughout the quarter
NPI Accuracy
- 12.4% of NPI references in payer MRFs do not match active NPPES records, down from 14.1% in Q4 2024
- Group NPI accuracy has improved significantly as payers respond to CMS technical assistance guidance
- Individual provider NPI discrepancies remain concentrated in behavioral health and ancillary service categories
What This Means for Data Users
The trend line is positive, but the data is still far from clean. Organizations relying on raw MRF data without validation and enrichment layers will encounter meaningful error rates — particularly for provider-level rate lookups in behavioral health and ancillary categories.
SumHealth’s L1 layer applies continuous validation and enrichment to address these known quality gaps before data is surfaced through our API.
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