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Healthcare

Administrative automation that keeps patient data inside your boundary.

Referral triage, prior authorization and claims follow-up run on deterministic checks and self-hosted AI, with a clinician or coordinator reviewing every consequential decision.

models, no external data exposure
Self-hostedmodels, no external data exposure
on every authorization decision
Human reviewon every authorization decision
per case, end to end
One recordper case, end to end
integration with existing systems
API and databaseintegration with existing systems

Operational pressures

The administrative load is real and it is measurable in staff time and patient delay.

  • Administrative work competes with clinical time

    Referral triage, prior authorization and claims follow-up consume staff hours that would otherwise go to patients, and the volume keeps growing.

  • Patient data cannot leave the boundary casually

    Every integration and every AI step that touches a record has to be justified against who is permitted to see it, not assumed acceptable because it speeds things up.

  • Payer and provider systems rarely agree on format

    Claims, eligibility and authorization data moves between systems that were implemented years apart, and reconciliation is still often manual.

  • Delays in prior authorization affect care timelines

    A slow authorization process is not just an administrative cost; it can directly delay a patient's treatment.

Systems typically in scope

What integrations usually need to reach, without replacing the record system.

Electronic health record adjacent systems
Referral, scheduling and results systems integrated through their available APIs or database interfaces, without displacing the record system itself.
Claims and eligibility platforms
Payer claims and eligibility systems reached through their published interfaces for verification and status checks.
Prior authorization workflow
Utilization management systems and the forms or portals used to submit and track authorization requests.
Document and correspondence
Referral letters, clinical notes attached to a case and correspondence generated during the authorization process.

Worked scenario: specialist referral

From submission to scheduled appointment, with missing information caught early.

  1. 01

    Trigger

    A specialist referral is submitted from the originating clinic.

  2. 02

    Integration

    Connector steps retrieve the patient's eligibility status, prior visit history and relevant results.

  3. 03

    Rules + Code

    Deterministic checks confirm eligibility, required documentation and whether prior authorization is needed for the referral type.

  4. 04

    Sovereign AI

    A self-hosted model summarizes the referral letter and flags missing clinical information against the specialty's intake criteria.

  5. 05

    Human Approval

    A care coordinator reviews the assembled referral and confirms scheduling, requests more information, or routes it to a different specialty.

  6. 06

    System Action

    The confirmed referral is scheduled and the referring clinic is notified.

  7. 07

    Audit

    The referral, eligibility check, rule outcomes, model summary and coordinator decision are retained as one record.

Representative specialist referral. The model flags missing clinical information; the coordinator decides how to proceed.

Worked scenario: prior authorization

A documented decision against payer criteria, not a black box.

  1. 01

    Trigger

    A prior authorization request is submitted for a planned procedure.

  2. 02

    Integration

    Eligibility, clinical documentation and payer-specific criteria are retrieved from the relevant systems.

  3. 03

    Rules + Code

    Deterministic checks match the request against payer medical necessity criteria and documentation completeness.

  4. 04

    Human Approval

    A utilization reviewer examines the assembled case and approves, denies with a reason, or requests additional clinical information.

  5. 05

    System Action

    The decision is written back to the utilization management system and the requesting clinic is notified.

  6. 06

    Audit

    The full request, criteria match, reviewer decision and notification are retained for later appeal or audit.

Representative prior authorization review. The utilization reviewer sees the criteria match and decides; the system never approves on its own.

Deployment and data control

Patient data stays inside infrastructure the organization already controls.

Because the platform deploys on-premises or in a private or sovereign cloud, patient data used by a workflow or read by a model does not need to pass through an external service to get the benefit of automation.

01

Self-hosted models for clinical text

Referral letters, clinical notes and correspondence are read by models running inside the deployment, not sent to an external inference API.

02

Role-based access aligned to clinical roles

Coordinators, utilization reviewers and administrative staff see the cases relevant to their role, consistent with existing access policies for patient data.

03

Integration without displacing the record system

Nexus reads and writes through existing system interfaces rather than becoming a second system of record for clinical data.

Evidence and reporting

What a denial appeal or a privacy review needs to see.

  • Decision record with criteria applied

    Authorization decisions retain the criteria checked, the documentation reviewed and the reviewer's reasoning.

  • Access is attributable

    Every read of a patient record through a workflow is tied to the run and the role that triggered it.

  • Model output kept separate from the decision

    Model summaries are stored as proposals; the reviewer's decision is the record that governs the outcome.

Procurement notes

Working within existing privacy and security review processes.

Alignment language, not certification claims

Nexus capabilities can be described as aligned with or mapping to the access control, audit trail and data handling objectives referenced in a privacy or security review. Nexus does not claim a certification on the customer's behalf; responsibility for the organization's own regulatory compliance remains with the organization.

Architecture session

Bring us the workflow that competes with patient time.

Referral triage, authorization and claims follow-up are common starting points. We will walk through what stays deterministic, where a self-hosted model helps, and what the reviewer keeps.