Give your AI-generated clinical outputs a licensed, specialty-matched physician signature and an audit-ready record. We supply the accountable human; you keep shipping.
A new class of AI agents can operate a computer, log into your software, and run a clinical workflow end to end — the doing is collapsing to a monthly subscription. What no autonomous agent carries is the one thing a medical decision requires: a licensed, named human who reviews it, signs it, and stands behind it when it is audited. As the agents do more of the work, that signature doesn't get cheaper — it gets scarcer.
Their agents act. Ours attest.
Why a human signs →Every health-AI product that recommends a next step is a router — it steers patients toward providers, prescriptions, and purchases. The governance asks for that layer are already being named in the literature: routing transparency, conflict-of-interest review, and clinical appropriateness review. A platform cannot audit its own routing. That review is a clinical judgment by a licensed human — which is exactly the layer you get here, on your outputs, as a service.
Attestation for the answer. Governance for the route.
A signature proves identity, not engagement — a reviewer who approves every output untouched leaves a record indistinguishable from auto-sign, and auditors read it exactly that way. Our attestations answer structurally: every determination is a sign, revise, or decline with a documented rationale, so the record shows what the reviewer changed and what they refused. The honest "no" is what makes every "yes" defensible.
Not just who signed. How deeply.
We ran a leading open-weights medical model head-to-head against a general-purpose model on ten hostile HSA/FSA determinations — including cases that had to be declined. Both scored a perfect ten on verdicts. Then one case stated plainly that the patient had no diagnosis on file, with instructions never to invent one. The medical model wrote "Intermittent low back pain (M54.5)" anyway — the correct billing code for a condition nobody had diagnosed. Fluent, plausible, and wrong: the exact failure class that sinks a compliance document. The general model wrote "no ICD-10 code to link." More medical capability did not mean more determination-grade reliability — the fine-tune's knowledge became a fabrication vector under a legal constraint. That is why a licensed reviewer reads every determination before it becomes real: the review exists to catch precisely the confident, credible error.
Small harness (n=10, single fabrication event) — an honest signal, not a condemnation of any model. Reproduce the class yourself in the self-serve sandbox.
The model knew the code. The reviewer knew the patient didn't have the diagnosis.
Read the full story →An AI-generated clinical output that needs a licensed human behind it — a determination, an assessment, a coded note, a letter. Synthetic or de-identified while we set up a BAA.
An NPI-verified, licensed physician evaluates it in their own specialty and signs, revises, or declines — with a documented rationale. Not a rubber stamp; the honest "no" is part of the product.
A signed, timestamped, audit-trailed determination returned to you — the artifact that makes an AI output a defensible clinical act.
California's Physicians Make Decisions Act (in force since 2025) and a growing set of state and CMS rules require a licensed, specialty-matched human — not an algorithm — to own an AI-driven decision on medical necessity. In 2026 the FDA's device center pointed the same way — a discussion paper proposing that medical AI be judged by how autonomously it acts and how much harm a wrong output can do, with a human checkpoint before any consequential action and the reminder that the company deploying the AI stays responsible for it. Building that clinician layer in-house is expensive and slow. We make it shared infrastructure.
Every determination is owned by a named, licensed physician and built to survive an audit.
NPI-verified physicians review in their own scope — the right clinician for the output.
You get the physician layer as a service, on your outputs, without hiring or credentialing.
We're onboarding a small founding cohort — a scoped pilot where your outputs are reviewed by our physicians, with results in writing (including the honest "no"). Tell us a little and we'll reach out.
We only store what you enter here to follow up. No pitch spam. ClinicalSwipe provides independent, licensed physician review of AI-generated clinical outputs; it does not practice medicine.