Prometheno  ·  Protocol  ·  N°01
2026·04
01 — Premise

Prometheno.

Memory, restored.

A protocol for patient-governed health data, built for medical research.
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02 — Thesis

Medical research depends on lives rendered legible.

Prometheno returns it — to the patient, by their consent, for their share.

03 — Manifesto

We don’t sell data. We put patients in the loop. The people whose lives the records describe decide who reads them, which research they fuel, and how value flows back.

Medical records fragment across hospitals, clinics, and apps — invisible to the people they describe, and often unavailable to the researchers who could learn from them. Prometheno closes that gap with a protocol instead of a product.

A protocol means the rules are out in the open. You can see how consent works, how access is recorded, how value flows back. It is not a feature we can quietly take away — it is a foundation others can build on.

Four sources, one record. Yours.
04 — Protocol
I

Data

Your records scattered across hospitals, clinics, apps, and labs — pulled together into a single shared language that research can read.

Nothing lost. Nothing flattened.

OMOP CDM 6.0 · FHIR R4 · vocabulary mapping for LOINC, RxNorm, ICD-10, CPT4

II

Trust

No one reaches for your data without your say-so. Every time someone does, it is logged in a way no one can quietly alter.

You can see every grant, every access, every use — and so can a court, if it ever comes to that.

Content-addressable consent · Hash-chained audit · Merkle inclusion proofs

III

Value

When your records help research move forward, five things come back to you:

  • Payment — actual money. Different records are worth different amounts; a clinical note counts more than a profile field.
  • First in line — when a new treatment or trial comes out of the research you contributed to, you get access before strangers do.
  • Personal answers — what the research learns gets applied back to your own care: recommendations, risk flags, treatment guidance specific to you.
  • Credit — your contribution is named in the work it made possible, not buried in a “N=2,400” footnote.
  • Not alone — you are part of a group who moved the same question forward, not a solo data point.

Three-tier valuation · Quality gates · Attribution registry · Outcome-linked distribution

05 — Specimens

Not screenshots. Real artifacts, produced by the protocol code, right now.

A

Consent grant

grant_uid    0xd76e57b978…e6f5
grantor      pt-J7K39M
grantee      rs-UF-DIA-01
scope        clinical_data
purpose      Diabetes outcome study (research)
expires      2027-04-14
algorithm    hmac-sha256

Content-addressable UID. The hash is the identity — no database lookup required to verify.

B

Audit chain

· verified
#
Action · Resource · Purpose
prev_hash
content_hash
01
read · Condition · Diabetes outcome study
0x0000000000…0000
0x2d608ab7ca…2bfe
02
query · Measurement · HbA1c trajectory
0x2d608ab7ca…2bfe
0x9799d065d1…e583
03
read · DrugExposure · Metformin adherence
0x9799d065d1…e583
0x57238bf3a4…1ff3

Each record’s previous_hashis the prior record’s content_hash. Break the chain and verification fails. The protocol produced these entries; the protocol verified them.

06 — State

What exists today, in the open.

0+
Records
integrated
0%
Vocabulary
coverage
0
Protocol
tests passing
0
Records sold
07 — Horizons
Now

Consented research

A protocol where studies meet patients where they live. Consent as structure, not paperwork. Cohorts that reflect actual lives, not convenience samples.

Next

Outcome validation

Evidence that holds up outside the dataset it was trained on. A way to know what medical AI actually did, not what it was told to do.

After

Actuarial evidence

The foundation for accountability. When outcomes are recorded honestly, risk becomes knowable — and, eventually, answerable.