Knodox/Industries/Healthcare
AI for care operations

Answers from the record — without exposing the record.

Critical-result flagging, follow-up tracking, and billing insight — asked in plain English.

Your clinical, lab, pharmacy, and billing systems already hold the answers. Knodox reads them read-only and turns them into permission-aware responses — with sensitive PII masked before the model reads a single row, and every figure traced back to a real result.

For clinical operations, care coordination, revenue cycle, and compliance.

Abnormal & critical results surfaced automatically PII masked before the model reads a record Each facility isolated at the data layer Every figure traced to a source row
The oversight problem

The data is in the chart. The insight isn't.

Care teams don't lack data — they lack a safe, fast way to ask it. And in healthcare, "fast" can never come at the cost of exposing the wrong field to the wrong person.

Critical results get buried

An abnormal BNP or a rising creatinine sits in a lab feed among hundreds of normals. Catching the ones that matter, this week, shouldn't require a manual chart review.

PII makes AI risky

Most tools enforce access in the UI. In healthcare that's not enough — a name, DOB, or SSN can't be allowed to reach the model for a role that shouldn't see it.

Follow-ups slip

Who's due for a recheck, a post-discharge visit, an outstanding balance? The answer is spread across appointments, notes, and billing — rarely in one place.

Ask it like this

The questions your teams already ask — answered safely.

Example answers on a representative multi-facility dataset. Every figure is derived from the underlying rows and checked back against the source before it's shown; PII is masked by role.

1

"Which patients have critical lab results flagged this week?"

Knodox surfaces the abnormal and critical flags first: an elevated BNP pointing to heart-failure risk, a high creatinine and potassium pointing to renal risk, and a positive urinalysis awaiting culture — each linked to the patient, provider, and the exact result value.

Every value traced to a lab_results row
2

"Show me this patient's record."

Same patient. Different roles. Different views — enforced at the data layer:

Clinician — chart, labs & notesfull record · PII shown
Billing analyst — charges onlybill, no chart · PII masked
Pharmacy — active medicationsmeds only · PII masked
And each facility is isolated: a Riverside clinician sees zero Metro or Valley patients.
3

"Which patients are due for a follow-up?"

A ranked list from the appointment and note data — a post-discharge CHF review, a hypertension medication check, a BP recheck after a med change — with who, when, and why, so nothing slips between visits.

Grounded in appointments & clinical_notes
Why care teams trust it

Built for protected health information.

The same three guarantees that run across all of Knodox — applied to clinical data.

Permission-aware by design

Roles map from your identity provider; every query is scoped by facility and department at retrieval. PII is masked before the model reads a row — deterministically, on every answer.

Verified, never invented

Every value is checked back against the source result. If a figure can't be traced to a real row, it's flagged — not shown. No hallucinated vitals, doses, or balances.

Answers that become dashboards

Pin any answer — critical results by unit, follow-ups due, outstanding billing — into a living dashboard that refreshes against your data, scoped to each viewer's role.

Two ways to consume it

Use Knodox's app — or embed it in yours.

Point your teams at Knodox's Ask interface, or keep your own portal and call Knodox's permission-aware retrieval API. Either way, the same role and PII rules apply per user.

Native Ask UI

Staff log in and ask directly. Connect a read-only source, map roles, and go — nothing to build.

Headless / embedded

Keep your own EHR portal and call the retrieval API with the end-user's identity on every request. Knodox mints a scoped token and returns only what they're allowed to see.

PHI stays protected

Name, DOB, SSN, and contact details are masked before the model reads them — unless the caller's role is explicitly cleared.

See it on your own clinical data.

Thirty minutes. We connect a read-only copy of one of your sources, set up two roles, and let you ask your first real question. No demo data, no slideware.