Provider Data Infrastructure

Provider data that's right on both sides of the roster.

Provider organizations need clean data to get enrolled and get paid. Payers need clean data to keep directories accurate. Dovetail is the data layer in between — one trusted provider record, delivered in whatever format each system or partner requires.

Who it's for

Same data problem.
Two different business drivers.

Provider organizations lose revenue when enrollment stalls. Payers carry the accountability when directories are wrong. Both come back to one thing: a provider record nobody fully trusts.

Get providers enrolled, in-network, and billing sooner.

Every day a credentialed clinician sits outside a payer's network is a day they can't bill. The usual cause isn't credentialing — it's the roster work that comes after: reformatting the same provider data for every payer, resubmitting when something bounces, and not knowing what each payer actually has on file.

01

Curate

Pull provider data from credentialing, HR, and practice systems into one canonical record. Your team reviews and approves changes before anything goes out.

OutcomeOne version of the truth your ops and revenue teams both trust.
02

Generate

Each payer's roster spec — layout, field rules, codes — lives as a reusable template. Adds, terms, and changes flow into the right file for the right payer automatically.

OutcomeNo spreadsheet in the middle. No re-keying.
03

Submit

Rosters go out through whatever channel each payer requires, with a timestamped record of what was sent. Errors returned get fixed once at the source and carried forward.

OutcomeProof of every submission, every cycle.
04

Verify

After submission, Dovetail agents check each payer's directory to confirm the provider is listed — and that what's listed matches what you sent, field by field.

OutcomeBilling readiness is a fact, not a guess.
Roster cycle — October4 payers generated
PayerChangesStatus
Payer A6 adds · 2 termsClean
Payer B6 adds · 2 terms · 3 updatesClean
Payer C6 adds · 1 term2 errors returned
Payer D5 adds · 2 termsClean
412
Providers in network
11
Pending SME review
2
Source fixes to resolve
Agentic directory verification

Submitting the roster isn't the finish line. Being listed correctly is.

Once a roster goes out, Dovetail agents go to the payer's directory and check. Not once — continuously. So the first time you hear about a missing or wrong listing isn't a denied claim.

01

Confirm the provider is actually listed

For every provider–payer pair, agents check whether the clinician appears in the payer's directory after submission, and flag the ones that haven't landed.

02

Compare field by field

Name, taxonomy, location, phone, accepting-new-patients — what the payer shows is matched against what you sent. Mismatches surface with the exact field that's off.

03

Catch overwrites early

When a clinician works for more than one organization, another employer's update can replace yours at the payer. Agents notice the change in days, not months.

04

Keep the proof

What was sent, when, what the payer showed, and when it was checked — one record you can point to when a payer or a contract asks.

Priya Shah, LMFT — Payer C
Submitted Aug 5 · Agent checked today
2 mismatches
FieldWhat you sentPayer directory
NamePriya Shah, LMFTPriya Shah, LMFT
Taxonomy106H00000X106H00000X
LocationTelehealth · CASacramento office
Phone(555) 010-2200(555) 010-2200
Accepting newYesNo
NPI12345678901234567890
Likely cause: location overwritten by a prior employer's roster. Correction queued for the Oct cycle.

Rosters in any format. Directories you can stand behind.

Thousands of roster files a year, each in its own layout, each with a different idea of what a specialty or location is called. Directory accuracy is no longer something plans maintain quietly — it's measured, reported, and owned. That accountability starts at roster intake.

01

Intake any roster into one canonical model

Map a provider group's format once. Every file they send after that is normalized automatically — specialties, locations, and enumerated values standardized to your schema, not theirs.

02

See what actually changed

Each incoming roster is diffed against your current records. New providers, terminations, and field-level updates are surfaced before they touch the directory — no full-file reloads, no silent overwrites.

03

Review before it publishes

Network and provider data teams approve changes in a curation queue with a full audit trail. When accuracy gets measured, you can show what was verified, when, and by whom.

04

Feed directory, claims, and network systems from one record

Export templates and APIs deliver the same trusted record to your directory, claims platform, and network management tools — each in the structure it expects.

Incoming roster — Northside Medical GroupMapped · 3 changes
ProviderChange
Sarah Chen, MDNew
Marcus Webb, DO · locationUpdated
Priya Anand, NPTermed
James Holloway, MDUnchanged
Lisa Torres, PA-CUnchanged
1,247
Records in group
3
Pending review
100%
Fields mapped
Illustrative. Approved changes publish to directory, claims, and network systems from the same record.
How it works

One clean data layer.
Every system and partner gets what it needs.

Dovetail sits between your sources and your consumers — normalizing to a single trusted model, detecting changes on every cycle, and exporting in whatever format each destination requires.

Import with field mapping

Ingest rosters and system exports in any format. Map once to the canonical model; every subsequent file is handled automatically.

ProvidersPayers

Change detection

Every new file is compared to current records. New, updated, and removed providers are surfaced before anything propagates.

ProvidersPayers

SME curation & audit trail

Your experts review, annotate, and approve changes. Every decision is logged, so data quality is human-supervised and defensible.

ProvidersPayers

Payer-spec export templates

Each payer's roster format, field rules, and enumerated values saved as a reusable template. Generate submissions from the core record, not from scratch.

Providers

APIs per downstream system

Expose provider data in the schema each consumer expects — directory, claims, scheduling, network tools — from one source.

ProvidersPayers

Core provider data model

A normalized, extensible schema — NPI, taxonomy, licensure, locations, affiliations, contract and enrollment attributes — built for how both sides use it.

ProvidersPayers
Why Dovetail

Not a credentialing tool. Not a directory vendor.
The data layer both depend on.

Whether you're submitting rosters or receiving them, the first conversation is practical: which files cause the most drag, where the data breaks, and what it's costing you.

Purpose-built

Data management, nothing else

We don't credential, enroll, or run your directory. We make sure the provider data behind those workflows is right, current, and deliverable in any format.

Vendor-neutral

Works with what you already run

Change credentialing vendors, add a payer, swap a scheduling system — the record and the mappings stay. Dovetail is the stable layer underneath the churn.

Operator-built

From inside the problem

Built by someone who ran provider data operations at a digital health company and got tired of rebuilding the same mappings for every payer and every system.