Prove what a clinical AI touched — to an auditor who doesn't take your word for it.
A diagnostic or scribe AI reads patient records under a clinician's authorization. The practice's own log is fine for its own governance — but a HIPAA audit or a malpractice inquiry is far stronger with attestation the practice didn't write itself.
Illustrative scenario — how Axiom Protocol applies here, not a description of a current customer.
The scenario
A cardiology assistant model reads a patient's ECG series and history to support a diagnosis. The moment it accesses the data, Axiom Protocol issues a signed receipt carrying the record's hash and IDs — never the patient information itself — attesting which model read which records, under whose consent, for what purpose, and when. The signature alone makes any later alteration detectable; the receipt's daily batch is then anchored to a public blockchain (Solana devnet today) as independent existence proof.
What this receipt proves
- Which model accessed which records — by ID and hash, never the PHI itself
- That explicit patient consent was recorded as the authorization at access time — attested by the clinician
- The clinical purpose the access was for
- That the record hasn't changed since — anyone can verify the signature
Why it matters for healthcare
A log the accused party signed themselves is easy to challenge; an independent, tamper-evident receipt is far harder to dispute. HIPAA audit controls, malpractice defense, and emerging medical-AI governance are all strengthened by evidence the provider didn't self-issue — without Axiom Protocol ever seeing a byte of patient data.
This is illustrative. The API that does it is live.
Every field above is real Axiom Protocol vocabulary. Get a key and issue your first receipt — free during early access.