You bought the platforms. The mandates still land on your data.
FHIR endpoints that fail validation. A directory on a 90-day clock. Two governments to reconcile every month. Encounters bouncing off state gateways. The platforms were the easy part — the gap is the mapping, matching, and reconciliation between them, and it costs you margin every month it stays open.
What is Payer Regulatory DataOps?
If you run data at a health plan, your team already does this work — in spreadsheets, hero queries, and month-end scrambles. It now has a name.
Payer Regulatory DataOps is the discipline of operating a health plan's regulatory data pipelines — extraction, X12-to-FHIR mapping, member and provider identity resolution, executable quality rules, N-way reconciliation, and lineage — so that mandated APIs, directories, and submissions stay compliant, accurate, and auditable.
It sits between a plan's systems of record (Facets, QNXT, credentialing) and its compliance surfaces (FHIR APIs, public directories, state gateways). It is not a platform and not a BPO — it is the middle layer where compliance actually passes or fails.
The budget already exists. It's being spent on rework.
None of this needs a new strategic initiative to justify. It is already in your P&L — spread across operations labor, absorbed network costs, and revenue that never arrives.
The business case writes itself: (monthly rejections × $35 × 12) + (missed status flags × $80–100K) + (out-of-network costs absorbed from directory errors) — all inside an administrative budget capped at roughly 15% of premium by the Medical Loss Ratio rule. That is the case you take to your CFO. The 30-day audit fills in your numbers.
Every mandate lands on a pipeline you already own
Four regulatory clocks, one discipline underneath: the right data, about the right person or provider, in the right system, at the right time — provably. Start with the one that hurts.
CMS-0057-F Data Readiness
“The vendor says the endpoints are live. Your team knows the member matching isn't.”
What ready looks like: a validated FHIR data foundation under the platform you already run — in 90 days
CMS-0057-F data readinessProvider Directory Compliance
“The attestation backlog grows faster than the team can call provider offices.”
What ready looks like: both clocks met without adding headcount — 271K+ providers, ~50% quality lift
Provider directory complianceD-SNP Enrollment Reconciliation
“Every month, three files disagree — and the discrepancy queue ages in a spreadsheet.”
What ready looks like: three-way reconciliation monthly, root causes worked to zero — 29K duals loaded, zero cutover defects
D-SNP enrollment reconciliationEncounter & Submission Quality
“Nine thousand rejects a month, repaired by hand, forever.”
What ready looks like: failures caught before the state sees them — <3% sustained, ~8,000 rejections prevented monthly
Encounter rejection rate reductionWhere this sits in your stack
Top layer: the platforms you bought. Bottom: the systems you run. The middle is where mandates actually pass or fail — and today it's covered by your team's heroics.
- Members & apps
- In-network providers
- Other payers
- CMS & state regulators
- Facets / QNXT
- Credentialing
- Pharmacy / PBM
- CMS & state feeds
The layer you already staff informally
Mapping, matching, reconciliation, and lineage — the work your team does in spreadsheets and month-end scrambles today. Run properly, inside your infrastructure, on the systems you already own.
What you keep
- Your interoperability platform — we feed it, not replace it
- Your core systems — Facets/QNXT and credentialing stay exactly where they are
- Your team and your operation — we run pipelines inside it, not around it
- Every audit finding — whatever you decide to do next
What you avoid
- A platform swap you'd have to re-justify and re-integrate
- A multi-year transformation program with value only at the end
- Handing a department to a BPO just to get the pipelines fixed
- Hiring for payer-data skills the market doesn't have
What good looks like — and where it's already running
Hold your own operation against these numbers. They're achievable — they're running today.
Results from Artha's anchor engagement at one of the largest Blue Cross Blue Shield plans. Presented as capability proof from a single client — not industry averages.
Start small. Keep the findings either way.
Know your number
All four pipelines scored with the regulators' own validation rules; your annual leakage quantified — rework, penalty exposure, missed revenue. The board-ready answer to "how exposed are we?" — yours to keep even if you stop here.
30 daysClose the worst gap
Surgical remediation of the pipeline that's costing you most — on your systems, no platform swap. Success measured against a target you set with us.
90 days · outcome-targetedKeep it audit-ready
Monthly reconciliation, attestation workflow, and submission monitoring — with freshness and rejection dashboards your auditors and regulators can see.
Managed DataOpsWhich of these is on your desk right now?
“January 1 is closer than our PAS build plan.”
— days to the API deadline CMS-0057-F readiness CFO“Rejection rework is margin leakage we can meter.”
Billing you every single month Encounter quality VP Enrollment / D-SNP“TRR discrepancies shouldn't age in a spreadsheet.”
The queue ages every month D-SNP reconciliation Chief Network Officer“Ghost-network exposure is uncapped — and the clock is 90 days.”
90-day clock · 2-day updates Directory complianceFrequently asked questions
Payer Regulatory DataOps is the discipline of operating a health plan's regulatory data pipelines — extraction, X12-to-FHIR mapping, member and provider identity resolution, executable quality rules, N-way reconciliation, and lineage — so that mandated APIs, directories, and submissions stay compliant, accurate, and auditable. It sits between a plan's systems of record and the compliance surfaces regulators see.
No. It is an engineering and operations service layer. Artha does not sell a FHIR platform, replace core systems like Facets or QNXT, or take over departments like a BPO — it builds and runs the data pipelines that feed the platforms a plan already owns.
CMS-0057-F (Patient Access, Provider Access, Payer-to-Payer, and Prior Authorization APIs), the No Surprises Act directory requirements (90-day verification, 2-business-day updates), CMS D-SNP integration rules through 2027, and state encounter and all-payer claims database (APCD) submission mandates.
A scored assessment of all four regulatory pipelines using the same validation rules the regulators run, a quantified estimate of annual rework and revenue leakage, and a prioritized remediation plan — the board-ready answer to "how exposed are we?" Fixed fee; findings are yours to keep regardless of next steps.
Yes. Artha is platform-neutral: whichever interoperability platform you run, we make the source data behind its endpoints mapped, matched, and validation-ready.
Fixed-fee, 30 to 90-day surgical engagements delivered by healthcare-fluent data engineers (Facets, X12 EDI, credentialing systems, FHIR implementation guides), with success measured against agreed outcome targets — not multi-year transformations or generic staff augmentation.
After the deadline, remediation happens in public: prior-authorization denial statistics are reported to CMS, directory errors carry member-reliance liability, and every month of rework keeps billing itself. A 30-day audit now tells you whether you have a problem while the answer is still private.
Find out what your data is costing you — in 30 days
The audit scores all four regulatory pipelines and quantifies the leak. If it is smaller than the fee, that is the cheapest compliance news you'll get this year.
