Solutions · Healthcare & Life Sciences

AI for healthcare,
with the gates on.

PHI cannot leave the building. Your team still wants conversational analytics on claims and patient operations. Quadrazene's Trust Layer pins restricted Systems to on-prem models, redacts PHI before the wire, and writes every gate event into a hash-chained, BAA-friendly audit trail.

Today

What we see in the field.

Hosted LLMs are off the table for PHI

Your privacy office said no, and they were right. But the team still wants the productivity an LLM gives them on the rest of the work.

Claims and vendor documents arrive unstructured

Authorizations, denials, vendor onboarding packets, prior-auth forms. Faxes and PDFs land in inboxes and shared drives.

Access reviews are quarterly and analog

Quarterly cert. Spreadsheet. Sign because you have to. Drift between reviews is invisible.

Audit evidence lives in screenshots

When the auditor asks for traceability, your team rebuilds the story from logs scattered across the EHR, the billing system, and email.

AI vendors want their own perimeter

Each vendor wants its own BAA, its own auth, its own audit. Compliance reviews stack up; the actual AI use case ships in eighteen months.

Restricted vs internal lives in a doc, not in code

Data classification is a policy on a SharePoint page. The platforms that touch the data don't enforce it.

Regulatory context

The frameworks you already operate against.

BAA terms available to qualified customers on request. HIPAA-eligible workloads supported under the appropriate deployment model.

HIPAA Privacy Rule

Minimum-necessary, PHI use limits, accounting of disclosures. Trust Events provide the disclosure log.

HIPAA Security Rule

Administrative, physical, and technical safeguards. Identity gating, encryption, audit ledger, classification cap.

HITECH

Breach notification, audit reach. Hash-chained evidence supports the timeline obligations.

HITRUST CSF

Common framework. Quadrazene's control surface lines up to the CSF domains; mapping available under NDA.

21 CFR Part 11

Electronic records and signatures (life sciences). Audit ledger and signed anchors support the integrity requirement.

GDPR (EU operations)

Lawful basis, data minimization, right to erasure. Scope-delete + Trust Events support the data subject obligations.

CCPA / CPRA

Consumer privacy. Same scope-delete pattern, same Trust Events log.

BAA

Available on request for qualified customers. We are willing to sign your paper when the scope warrants it.

How the four Engines compose

Governance leads. Insights and Actions bond under the cap.

Governancegovernance Engine

Lead Engine for healthcare. The Trust Layer pins restricted Systems (patient records, claims with PHI) to on-prem-only model routing. The classification cap denies hosted-model calls that cross the ceiling before any prompt is built.

Example Skills: PHI exposure scan, restricted-data routing, access certification, BAA-aware audit export.

Insightsinsights Engine

Conversational analytics on the data you're allowed to analyze. Claims patterns, vendor performance, denial-rate drilldowns, all cited and grounded.

Example Skills: Denial-rate drilldown, top-procedure analysis, vendor performance, prior-auth turnaround, readmission patterns (under appropriate classification).

Actionsactions Engine

Document intake patterns transfer to claims, prior-auths, and vendor onboarding. PDF / fax / email arrives; the intake Chain extracts and routes; HITL on the consequential ones.

Example Skills: Claim extraction, prior-auth packet intake, vendor onboarding, denial appeal drafter (with HITL).

Advisoryadvisory Engine

Forecasts and prioritized recommendations within the privacy boundary. Vendor risk scoring; denial-pattern signals; demand forecasts for non-PHI operational data.

Example Skills: Vendor risk score, denial-pattern advisor, operational demand forecast, supply-cycle recommendations.

Security & compliance posture

The questions privacy and security will ask.

Classification cap on every LLM call

Restricted Systems are denied hosted-model calls by default, before any prompt is built. The cap is one tenant setting, not a wishful policy in a SharePoint document.

On-prem LLM via Ollama (or your own)

Restricted Systems route to your VM-hosted model. PHI never leaves the building. Your hosted-LLM contract stays in scope only for non-PHI work.

Customer-installable

VM, Kubernetes, or air-gapped. We never see the data. Your EHR and billing credentials never leave your boundary.

Content filters at every gate

SSN, MRN, DOB, account number, and custom regex patterns. Block, redact, or warn per pattern. Every match is an immutable Trust Event.

BYOK with FIPS-validated KMS

Per-tenant DEKs wrapped by a CMK in your KMS. FIPS 140-3 path supported. Key-shred on offboarding.

BAA on request

We sign your BAA when the scope warrants it. Quadrazene's controls map to HIPAA Privacy and Security Rule; mapping available under NDA.

What changes

Our gut feel for where the wins land.

Qualitative reads from the demos we've run. The shape of the change, not the size. We won't quote customer numbers we haven't measured.

PHI never touches a hosted LLM by accident

The classification cap denies before the prompt is built. A misconfigured Skill can't quietly leak a column to a hosted provider.

Claims and prior-auth intake stops being manual

PDFs and faxes get extracted, validated, and routed for HITL. The clinician or analyst reviews exceptions instead of every page.

Access reviews ship in days, not weeks

Dormant accounts and drift surface in one packet. The auditor receives an evidence pack that re-verifies offline.

Conversational analytics on the safe side of the line

The Reactor stays useful for non-PHI operational data. The team gets the productivity without the breach risk.

AI vendors stop multiplying

If you already have several AI tools, Quadrazene's Trust Layer + Risk + Records can govern them as a tool inside your existing perimeter.

Privacy office moves from blocker to enabler

When privacy reviews the gate order, the classification cap, and the disclosure log, the answer changes from “no” to “yes, with these constraints we can verify.”

Where to start

Our recommended first phase for a healthcare pilot.

  1. 1.Start with non-PHI operational data (vendor performance, claims summaries, denials patterns).
  2. 2.Tag the System with its classification. Watch the platform respect it across every Skill.
  3. 3.Run the Trust Layer walkthrough on a sample prompt that tries to access restricted data. Show privacy the denial event.
  4. 4.Wire Ollama (or your existing on-prem model). Bond Insights for non-PHI analytics and PHI-cleared models for the restricted lane.
  5. 5.Add a document-intake Chain (vendor onboarding or prior-auth). Demo to the operations lead.

Bring your privacy office.

We'll walk the Trust Layer, the classification cap, and the disclosure log on a sample of your operational data.