Use Case · Healthcare Operations

Nexoraa orchestrates intake, documentation review, coverage validation, medical necessity assessment, and adjudication recommendation - keeping every clinical and policy decision evidenced, sourced, and reviewable.

Procedure to executionStandard procedure1.Receive claimstep 12.Extractstep 23.Validatestep 34.Decidestep 4reviewable before it runs
Why It Breaks

Claims processing combines unstructured clinical documentation, complex coverage rules, mandated turnaround times, and severe consequences for getting decisions wrong. The right answer is governed agentic execution with clinical reviewers in the loop where it matters.

The problem

  1. Documentation heterogeneity

    Clinical notes, lab results, imaging reports, and prior auth letters arrive in different formats, often handwritten or scanned.

  2. Coverage complexity

    Plan documents, riders, exclusions, network rules, and formulary tiers are dense and plan-specific.

  3. Medical necessity judgment

    Necessity is clinical judgment grounded in evidence, guidelines, and member context.

  4. Turnaround time pressure

    Regulated windows mean missed deadlines trigger penalties and member harm.

  5. Explainability requirements

    Members and regulators require explanations that cite the specific evidence used.

Execution Pipeline

Nexoraa breaks the claim journey into specialised agents. Clinical judgment remains with the reviewer; the platform handles intake, extraction, retrieval, validation, and evidence assembly.

  1. 1

    Intake Agent

    Accepts claims via API, EDI, fax-to-PDF, or member portal upload. Detects format, classifies claim type, and extracts identifiers.

  2. 2

    Document Extraction Agent

    OCR and intelligent extraction convert clinical documents into validated JSON.

  3. 3

    Eligibility & Coverage Agent

    Retrieves the member's plan, applies network rules, and identifies coverage flags.

  4. 4

    Medical Necessity Retrieval Agent

    Retrieves clinical guidelines, prior authorisation requirements, and member history.

  5. 5

    Adjudication Recommender

    Synthesises eligibility, coverage, and necessity context into a cited recommendation.

  6. 6

    Haluvance Validation

    Validates grounding, schema, and policy confidence before reviewer routing.

  7. 7

    Clinical Reviewer Routing

    Routes clinical-judgement cases with evidence packs; reviewers accept, modify, or override.

  8. 8

    Notification & Posting Agent

    Generates member notification, posts adjudication, and writes the audit record.

Integrations

Reviewer throughput

↑ Higher

Reviewers handle more cases because evidence is pre-assembled and cited.

Turnaround time

↑ Higher

Mean time to adjudication drops; regulated windows are met more reliably.

Explanation quality

↑ Higher

Member notifications cite specific clinical and plan evidence.

Audit defensibility

↑ Higher

Every recommendation, override, and decision has a stored rationale and source citation.

Clinician satisfaction

↑ Higher

Reviewers spend time on judgment, not chart hunting.

Governance

5 controls, applied to every run

  1. Private deployment with no PHI egress

  2. Role-based access aligned to clinical roles

  3. Document-level retrieval access control

  4. Immutable audit logs

  5. Haluvance-enforced grounding

Private deployment
PHI processing stays inside the customer environment with in-region endpoints or self-hosted models.
Document-level access control
A reviewer never sees a case they are not assigned to, even at retrieval time.
Grounded recommendations
Haluvance blocks adjudication outputs that do not cite clinical and plan evidence.
Override transparency
Clinician overrides are logged with reasons and become training feedback.
Next step

Bring a sample dataset under NDA. We will demonstrate the workflow on it.