Use Case · Healthcare Operations

Process clinical claims faster, with documentation that stands up to audit.

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

Why It Breaks

Why claims processing is operationally and clinically hard

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.

Pain Cards

The recurring failure points.

Documentation heterogeneity

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

Coverage complexity

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

Medical necessity judgment

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

Turnaround time pressure

Regulated windows mean missed deadlines trigger penalties and member harm.

Explainability requirements

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

Execution Pipeline

How Nexoraa executes this workflow.

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

01

Intake Agent

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

02

Document Extraction Agent

OCR and intelligent extraction convert clinical documents into validated JSON.

03

Eligibility & Coverage Agent

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

04

Medical Necessity Retrieval Agent

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

05

Adjudication Recommender

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

06

Haluvance Validation

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

07

Clinical Reviewer Routing

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

08

Notification & Posting Agent

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

Integrations

Where this workflow plugs in.

Claims platforms, member portals, EDI gateways, document management, clinical knowledge bases, and case management systems. Private cloud or on-premise deployment keeps PHI inside the customer boundary where required.

Outcomes

Outcomes our customers measure.

Reviewer throughput

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

Turnaround time

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

Explanation quality

Member notifications cite specific clinical and plan evidence.

Audit defensibility

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

Clinician satisfaction

Reviewers spend time on judgment, not chart hunting.

Governance

How Nexoraa governs this workflow.

Nexoraa supports private deployment with no PHI egress, role-based access aligned to clinical roles, document-level retrieval access control, immutable audit logs, and Haluvance-enforced grounding.

Why Nexoraa

Why Nexoraa for this workflow.

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

See this workflow run on your data shape.

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