Atlas is a pre-submission rules check for medical claims. It converts explicit payer-policy requirements into deterministic, page-cited logic and returns PASS / REVIEW / BLOCK with the reason attached — while the claim can still be reviewed or corrected.
EHRs, coding tools, clearinghouses, and RCM platforms are essential parts of the revenue cycle. Their primary roles are documentation, code assignment, transaction routing, and workflow management. Atlas is designed to complement that stack with deterministic payer-policy evaluation before submission. AI can help structure policy and triage ambiguous cases; approved rules — not a model response — drive the claim verdict.
Why now: current models can assist with reading dense, unstructured policy documents and drafting candidate rules, making policy normalization more practical. Human-approved, versioned rules remain the basis of claim-level execution.
AI drafts a candidate rule from the source policy. It stays a candidate — unable to touch a verdict — until a reviewer with coding / RCM knowledge approves it Active, clause by clause, each tied to a page.
The engine runs the encoded policy against the 837 before submission and returns PASS / REVIEW / BLOCK. The verdict path uses explicit, deterministic logic.
Material findings retain their audit chain: clause, rule id, evidence, source page, and a stable fingerprint that supports reproducible re-runs.
Atlas keeps two questions separate: evaluation status — could the encoded rule run with the available data? — and rule result — what did it decide? Unevaluated rules do not become a PASS. Missing evidence, policy gaps, and unverified sources are identified for follow-up instead of being inferred. Policy normalization and keeping versions current remain important operational work, so coverage is stated explicitly rather than assumed.
Not just a label like “Medical Necessity Not Met.”
This equation is the acceptance test Atlas is built to pass. Within the encoded policy boundary, a verdict is a function of the claim, supplied evidence, and active rule versions. Evaluation records preserve the inputs and policy provenance behind each run, supporting audit review, version comparison, and reconciliation against the 835. Deterministic execution is the product foundation.
The same claim, evidence, and rule versions produce the same sha256 trace. Change an input — such as accreditation evidence or the policy version — and Atlas creates a new evaluation with the change tied to the relevant rule.
Healthcare platforms overlap and capabilities vary by product. This view describes their typical primary function and where Atlas is intended to sit: after claim creation and before clearinghouse submission, applying approved payer-policy logic at claim level.
| Layer | Typical primary function | How Atlas complements it |
|---|---|---|
| EHR | Clinical documentation and patient records | Evaluates available claim evidence against encoded criteria |
| Coding | Code assignment and coding validation | Applies payer-specific coverage and policy requirements |
| Clearinghouse | Claim transport, format checks, and payer connectivity | Adds a policy gate before release to the transaction layer |
| RCM platform | Billing workflow, follow-up, and denial operations | Routes PASS, REVIEW, and BLOCK results into existing work queues |
| Atlas | Deterministic payer-policy execution | Produces a versioned result with rule-level audit context |
Potentially preventable denials identified before submission, with claim-level evidence that can be measured against the 835.
Atlas gates the 837 before submission and routes known conflicts or missing evidence to a focused worklist with the relevant correction context.
A version-controlled, page-cited, reproducible trace for each verdict. When a payer or regulator asks how a determination was made, the answer isn't a model — it's the record.
A bounded, deterministic decision path is easier to inspect and test. Atlas is designed to keep model inference outside claim-level execution and to minimize the data used for each evaluation.
Atlas exposes a stable input/output contract so a clearinghouse, EHR, or RCM stack can receive the claim disposition, applicable findings, evaluation gaps, suggested owner, and a reproducible trace id in one response. Existing products can keep their workflows while adding policy execution at the submission boundary.
# one call → disposition + applicable findings { "claim_disposition": "BLOCK", "eligible_for_release": false, "findings": [ { "rule_id": "IMG.ACCRED.MISSING", "evaluation_status": "EVALUATED", "rule_result": "BLOCK", "owner": "biller", "policy_version": "2026.1" } ], // honest about what it could NOT evaluate "not_evaluated": [ { "rule_id": "MED.NEC.STEP", "evaluation_status": "INSUFFICIENT_DATA" } ], "policy_provenance": "oxford-013B.62 §4.2 p.7", "trace_id": "sha256:9f2c…a71b" }
See the engine render a real payer policy into a deterministic, page-cited verdict — live, on synthetic claims, with the full audit trace exposed.