Bad Provider Data Costs Healthcare $17B Annually. Clean Provider Data Pays It Back.

Half of all claim denials trace to inaccurate provider data. 81% of physician directory entries disagree across the top five payers. The cost is documented. The fix is upstream.

81%

of physician directory entries are inconsistent across the top five payers

JAMA · Butala et al. 2023

$25K

per-beneficiary cap on Medicare Advantage civil money penalties

CMS · Civil Money Penalty schedule

$2.76B

spent annually by practices and health systems on directory upkeep

Medical Economics · JAMA / HiLabs

Schedule a Strategy Session. No pitch. Just straight talk (in non-technical terms) about your needs.

Every inaccurate record is a financial event. A denied claim. A delayed enrollment. A directory listing that drives a CAHPS complaint. Polus™ HCP is the data trust fabric that fixes provider data upstream of every system that depends on it, so the cost stops compounding before it reaches the P&L.

Continuous validation, patent-pending identity resolution, and FHIR-ready output, built for the executives carrying the September 1 attestation and the revenue cycle absorbing the cost today.

Datagence transforms provider data from a painful cost center into a documented return.

Polus HCP is the only platform built from the schema up: provenance on every value, auditable by default, AI-native by design, and deployable inside your environment so protected data never has to leave.

For the people in the data

You already know what's broken. You're the one fixing it by hand.

If you have ever logged the same provider into CAQH, NPPES, PECOS, Cactus, MD-Staff, and three payer portals in a single afternoon, you do not need a slide explaining what is wrong with provider data. You are living it.

✓ Re-keyed the same provider into 25 payer portals to enroll one cardiologist who started 90 days ago and still cannot bill.

✓ Watched a roster file land in your inbox as an Excel attachment with a 48-hour attestation window and four columns that do not match last quarter.

✓ Spent the morning chasing a denied claim that traced back to one wrong taxonomy code on a record nobody updated.

✓ Had a privileging committee paused because the EHR provider master and the credentialing system disagreed on a license expiration.

✓ Logged into CAQH ProView for the third time this week to re-attest data that hasn't changed since 2024.

✓ Found a deactivated NPI sitting on an active claim, two months after the provider left the practice.

This is the work that does not show up in a board deck. It is also the work that determines whether your network passes the next CMS attestation, whether your physicians get paid on time, and whether your name surfaces in the next ghost-network class action.

The directory is not broken because the people running it are not trying. It is broken because the upstream sources do not reconcile, and the workflow tools above them assume the reconciliation is somebody else's job.

Polus HCP is built to take that work off the human and put it on the infrastructure. Continuous validation against NPPES, PECOS, CAQH, OIG LEIE, SAM.gov exclusion, state licensing boards, and payer rosters. One reconciled record per provider. Confidence scores that flag the exceptions instead of dumping every record into a manual queue. Provenance trails that survive an audit.

You stop being the system of record. The system becomes the system of record.

Well-managed Provider Data is the lifeblood of a profitable healthcare organization

Brigitte Tebow

Nationally Recognized Expert on Provider Master Data Management

Where Polus HCP Sits

Between every fragmented source and every regulated destination.

The provider data market organizes around workflows and destinations. Credentialing platforms own the application. Clearinghouses own the pipe. Directory tools own the publishing endpoint. Self-reported repositories own the form. None of them own the layer in between, the layer that decides which version of a provider is real.

Polus HCP is that layer. Six capabilities, run continuously, on every record that moves through your stack.

01 · Ingest

Multi-format roster intake

CSV, XLS, PDF, Word, EHR exports, payer portals, delegated rosters. The "portalitis" tax disappears.

02 · Validate

Continuous source reconciliation

Live checks against NPPES, PECOS, OIG LEIE, SAM.gov, state licensing boards, and the federal NPD reference dataset.

03 · Resolve

Patent-pending identity matching

Multi-entity consensus and confidence scoring. One provider, one record, even when six sources disagree on the spelling.

04 · Enrich

Affiliation and accepting-new-patients data

The fields the NPD does not carry. Practice-to-location relationships, network status, and reachability fields that drive directory adequacy.

05 · Log

Audit-grade provenance

48-hour and 90-day evidence trails for No Surprises Act and NCQA. Every field, every source, every change, dated.

06 · Publish

FHIR-ready output

PDex Plan-Net Implementation Guide v1.2.0 on HL7 FHIR R4. CMS Phase 2 ingestion-ready on day one.

Not credentialing. Not a directory. Not a clearinghouse. Infrastructure.

Outcomes

The same fabric. Different P&L lines.

Payers need to satisfy regulators. Hospitals need to protect revenue. Billing firms need to defend contingency margin. The infrastructure is the same. The outcomes are weighted by the buyer's exposure.

Polus HCP is the fabric that binds it is all together.

For Health Plans

Compliance-weighted outcomes

→Executive confidence for the September 1, 2026 attestation
→48-hour No Surprises Act and 90-day attestation evidence logs
→Audit-defensible provenance for state AG and ghost-network litigation
→Cleaner adjudication inputs that lift auto-adjudication rates
→Member directory that reflects what is actually true about the network

For Hospitals & Billing Firms

Revenue-weighted outcomes

→Clean claims at submission, validated NPI and taxonomy at the source
→Fewer denials caused by rendering, referring, or billing NPI mismatches
→Faster physician enrollment, the $100K to $200K per provider revenue is unblocked
→Audit defense with full provenance for delegated credentialing files
→Protected contingency fees, denials stop absorbing collections margin

Featured Resources.

Provider Data Is Not a Compliance Problem. It’s a Revenue Problem.

Every inaccurate provider record is a financial event. Not a compliance gap. Not a workflow inconvenience. A financial event, one that flows through claims adjudication, auto-processing rates, Stars ratings, and the $21B administrative automation opportunity that healthcare organiations are leaving on the table.

Provider Data Enforcement Reckoning

Provider data accuracy has crossed a structureal threshhold. What was once treated an an operational inconvenience is now being evaluated by regulators, courts, and plaintiffs’ firms as a material compliance, financial, and fiduciary risk.

Why Provider Directories Fail (And Always Have)

Provider directory inaccuracy is not a staffing problem. It is not a vendor problem. It is not a “verify more often” problem. And it is not an abstract compliance concern, it is a revenue cycle problem that drains hundreds of millions from payers, billing firms, and provider networks every year.

The Revenue Cycle Consequence (for Billing & Coding)

Bad provider data does not stay in the directory. It enters the revenue cycle at intake, compounds through every downstream stage, consumes staff capacity, and surfaces as denial rates that no amount of coding quality can fix. For billing and coding organizations, it is the most pervasive and most addressable root cause of under-performance in the industry today.