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Side-by-Side Comparison

NPPES (CMS NPI Registry) vs Doximity: Side-by-Side Comparison

NPPES is the federal primary source for U.S. healthcare provider identity — 8 million+ NPI records, publicly downloadable, weekly-refreshed. Doximity is a professional network where ~80% of U.S. physicians maintain profiles. They serve different purposes: NPPES is the authoritative identifier record; Doximity is the clinician-facing social graph.

Dimension by dimension

NPPES (CMS NPI Registry) vs Doximity, across 8 dimensions

DimensionNPPES (CMS NPI Registry)Doximity
Data typeFederal provider identity — 10-digit NPI, taxonomy code, practice addressPhysician professional network — peer connections, CME, secure messaging, NPI cross-reference
Coverage8 million+ active NPI records (individuals + organizations)~80% of U.S. physicians; 2M+ total clinicians (publicly disclosed)
Refresh cadenceCMS publishes weekly; Fonteum's newest serving-table system date was 2026-06-10 when checked 2026-07-12Self-maintained by clinicians; no public refresh cadence
License / CostU.S. government public-domain works (17 U.S.C. § 105) — free to use and redistribute with attributionFree for clinicians; B2B/pharma advertising — pricing not public
API accessPublic REST API at npiregistry.cms.hhs.gov/api — no key required for basic lookupsEHR partner integrations; not a public open API
Source provenanceResponses identify available source, date, and limitation fields; coverage varies and facts are not individually signedNPI cross-reference for identity; self-attested credentials; no per-field provenance chain
Primary use caseNPI lookup, submitted taxonomy fields, and joins where another source supplies NPIClinician networking, referrals, CME credit, pharma outreach
PricingFree (federal public domain)Free for clinicians; pharma/industry licensing — pricing not public

Cells marked “—” indicate values not publicly documented by the respective platform. No data has been estimated or fabricated.

Honest fit

Which platform fits your team

When to use NPPES (CMS NPI Registry)

Use NPPES when the need is the federal record for NPI assignment and submitted taxonomy, address, and enumeration fields. Treat those fields as administrative data, not credentialing decisions, and join another source only when it supplies the NPI.

NPPES (CMS NPI Registry) source detail →

When to use Doximity

Use Doximity when the goal is reaching clinicians directly — for professional networking, CME delivery, or pharma sales-force alignment. Doximity's NPI cross-reference makes its profiles reasonably accurate for identity, but it is a professional network, not a regulatory data source.

https://www.doximity.com

FAQ

Common questions

Is Doximity a replacement for NPPES?
No. CMS assigns NPI numbers through NPPES for use in HIPAA standard transactions. Doximity is a professional network that can cross-reference NPI but is not the assigning authority. NPPES is the primary source for NPI administrative fields; it is not a licensure or credentialing authority.
Can I get NPI data from Doximity?
Doximity cross-references clinician profiles with NPI numbers, but the data is not available in bulk via a public API or download. CMS NPPES provides the full 8M+ NPI record set as a free weekly CSV download and via a public REST API at npiregistry.cms.hhs.gov/api.
Which is more current — NPPES or Doximity?
NPPES is the CMS record for NPI assignment, but its names, addresses, taxonomies, and credential text depend on provider submissions and can be stale. Doximity profiles are maintained on their own schedule. Currency must be evaluated field by field from the applicable source date.
What does Fonteum add on top of NPPES?
Fonteum can connect NPPES to PECOS, QPP MIPS, Open Payments, and the NPI-bearing subset of OIG LEIE where the source supplies the same NPI. Facility sources generally use CCN, and state records may use license numbers or names, so those sources retain their own keys and limitations.

Last updated 2026-05-31. See all comparisons at /compare →

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What’s on file, by the numbers

Platform snapshot · 2026-08-30

13.4Mproviders & companiesProviders, organizations, owners, and facilities on file
26.2Msource-linked factsSource-linked field facts in the dated platform snapshot
90sources with dataDistinct snapshot source IDs with at least one positive record count
16fresh sourcesDistinct source IDs whose latest positive-data snapshot falls within the preceding 45 days
111sources integratedActive registry rows; integration does not establish a load
13state Medicaid jurisdictionsDistinct states represented in the state-exclusions serving table

Integrated, with-data, and fresh-observation counts are separate. No platform-wide source-completeness count is published. Completeness is source-specific and must be evaluated against the named source's expected scope. State coverage is a separate jurisdiction measure.

Source authority is record-specific

Use the issuer named on the record.

Fonteum spans federal, state, and global public publishers. A source page or returned record identifies its issuer and dataset where that metadata is available. A platform registry count does not assign every page to one authority or establish loaded, fresh, or complete coverage.

Browse source records and their stated limitations →

Reproducible by design

Inspect the evidence each published figure actually supplies.

Source and date

Research pages expose the named public file and observation date where those fields are available. Source-file SHA-256 coverage is separate; facts do not currently link deterministically to signatures.

Available derivation

Studies with a retained release and committed derivation link the SQL or method used. Other studies state the evidence and reproduction limits they actually have.

Daily observations

Dated table row-count observations can detect local drift. They do not imply that an upstream publisher released or Fonteum ingested new data that day.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

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