First Choice Health
Last updated: February 2026
Data Version
Price Transparency Machine-Readable Files Snapshot
Overview
1
Plans
120K
Providers (NPIs)
+13% vs prev12K
Tax IDs
+2% vs prev20K
Billing Codes
+1% vs prev7.2M
Data Rows
+2% vs prevData Breakdown
Plans Type (HIOS vs EIN)
EIN | 1 |
NPIs
Individual | 120K |
Group | 1.4K |
Tax IDs
NPI (Group) | 9.6K |
NPI (Individual) | 2.6K |
EIN | 1 |
Billing Code Type
| Codes | Rows | |
|---|---|---|
CPT | 11K | 5.5M |
HCPCS | 7.4K | 1.5M |
CDT | 850 | 180K |
MS-DRG | 810 | 17K |
CSTM-ALL | 1 | 130 |
Billing Class
| Rows | |
|---|---|
Professional | 7.2M |
Institutional | 17K |
Negotiated Type
| Rows | |
|---|---|
Negotiated | 7.2M |
Percentage | 130 |
Top States by # NPIs
Washington | 45K |
Oregon | 19K |
Colorado | 12K |
Idaho | 8.1K |
Montana | 6.1K |
Top Taxonomies by # NPIs
Physical Therapist | 7.5K |
Physician Assistant | 7.2K |
Family Medicine Physician | 7K |
Family Nurse Practitioner | 6.1K |
Mental Health Counselor | 5.6K |
Monthly Metrics
| Month | Plans | NPIs | Tax IDs | Billing Codes | Data Rows |
|---|---|---|---|---|---|
February 2026 | 1 | 120K | 12K | 20K | 7.2M |
January 2026 | 1 | 110K | 12K | 20K | 7.1M |
October 2025 | 1 | 110K | 12K | 20K | 7M |
Data Coverage Scorecard
Professional & Institutional Rates
Data includes both professional and institutional billing class rates
Valid Tax IDs
Less than 80% of Tax IDs are EIN or NPI (Organization) type
HIOS Plan
Data does not include any HIOS-identified plans
Low Derived/Percentage Rates
Less than 10% of negotiation entries are derived or percentage type
Standard Code Coverage
Sufficient CPT and HCPCS code coverage with low proportion of LOCAL entries
Common Taxonomies
NPIs in the dataset cover at least 50 distinct provider taxonomies
Methodology
The scorecard evaluates each payer's monthly price transparency data against six quality criteria:
If 5–6 criteria pass, the overall rating is Good.
If 3–4 criteria pass, the rating is Acceptable.
If 0–2 criteria pass, the rating is Poor.
Behavioral, RX, and other specialty networks may not pass all criteria but can still contain complete and usable data.