The patient-owned health record

Every page of your health story. Finally yours.

Folio brings records from hospitals, labs, wearables, genetics, and family history into one source-linked record — so you can understand your health, prepare for decisions, and share exactly what you choose.

The demo uses entirely synthetic data — explore freely, nothing is real or connected. Open it →
The product

This is Folio. Not a mockup.

A synthetic-data twin of the working product: five record sources and home health data, unified into one prioritized morning view.

Folio's Today view: a prioritized morning summary with a care-readiness score, an AI whole-record review, a flagged medication conflict between two documented lisinopril doses, and personal health signals from Apple Health.
One longitudinal record. A care-readiness score computed from the whole story — clinical, genetic, wearable, and self-reported.
Provenance on every line. A real conflict is surfaced — two documented lisinopril doses — and resolved without erasing either source.
Depth on demand. Every value drills down to its trend, its context, and the source document it came from.
How Folio works

From scattered sources to your next decision.

Gather

Records from participating health systems and record networks — using FHIR and TEFCA connections — plus Apple Health and home devices, consumer genetics, family history, and your own observations. Source and date kept on every item.

Understand

AI reads the whole record: trends across systems, plain-language context for every lab, conflicts surfaced instead of buried, and a drill-down from any number to its source document.

Act & share

Your care plan, managed by you: priorities, prevention calendars, decision workspaces, and visit briefs — with scoped, expiring, audited shares to any provider you choose.

Whole-record AI

AI is only as good as the story you can tell it.

A typical chatbot can only answer from the context you type into it. Aggregating your data first is what turns AI from a search box into an ally.

A chatbot, without your story

"Is my cholesterol okay?"
"Generally, an LDL below 100 mg/dL is considered healthy for most adults. You should ask your doctor about your specific situation…"
It can only answer from what you typed. Your genetics, your trend, your family history — not in the room.

Folio's AI, with every page

"Is my cholesterol okay?"
"Your ApoB has fallen from 108 to 86 since 2023 — close to the goal your care team set, which is stricter than average because your Lp(a) is high and inherited. Your CAC score of zero is part of this picture too. I've added both to the question list I drafted for your Aug 14 cardiology visit, so you and your cardiologist can decide together whether anything should change."
Labs · 3 systemsGeneticsFamily historyImagingVisit calendar
Same question. Ten years of context — traceable to its sources, and turned into preparation for a conversation with your clinician.

That's the quiet power of the folio: integration first, intelligence second. The more complete your story, the more your AI can actually do for you.

From data to decisions

Walk into every appointment already prepared.

A Folio visit brief for a genetics appointment: purpose, key longitudinal context assembled across health systems, an unresolved medication reconciliation item, and three prepared questions — with print and secure-share actions.

One click, whole story

The brief assembles what this clinician needs from every source — the genetics result, the imaging trend, the family context — each line traceable to its document.

Nothing swept under the rug

Unresolved items — like two documented doses of the same medication — are flagged for the visit instead of silently picked over.

Your questions, drafted

Folio prepares the questions the data raises, so the fifteen minutes you get are spent deciding — not recapping.

Shared on your terms

Send it to any provider as a scoped, expiring, logged share — the clinician gets signal, you keep control.

And when a decision is open — intensify a medication or wait, test now or watch — Folio gives it a workspace: the evidence beside it, the options in plain language, and a lasting record of what you chose and why.

Ownership & control

Your data. Your rules. In practice.

Control isn't a settings page — it's the architecture. Here is what that means, concretely.

Encrypted

Your record is encrypted in transit and at rest.

Where your data lives

Folio holds your imported records in your own account. The source systems remain the canonical originals, and every item keeps its origin and date.

Export & deletion

Export everything you've gathered, or delete your account and its data, at any time.

Access logs

Every share — and every view of a share — is logged where you can see it.

Expiring shares

Shares are scoped to what's needed and expire on your schedule. Revoke any of them, any time.

AI without retention

AI providers process your questions without retaining your data for training — and choosing which AI reads your folio is a design commitment on the roadmap.

Folio is pre-launch: these are the commitments the product is being built to, stated plainly — nothing claimed beyond what exists. Security documentation will be published as certification work (SOC 2) completes. And one thing that will never change: no selling or brokering of patient data, no advertising — ever.

"Empowerment isn't a feature you add to a health app. It's what happens when a patient finally holds every page of their own story — and decides who reads it."
Built by a physician

Built from the founder's own fragmented health record.

Michael Dulin, MD, PhD
"I built the Folio prototype for my own health — multiple health-system records, NIH, Apple Health, my genetics, and my family history. What it surfaced led to real changes in my care, and an incredible feeling of empowerment. Every patient deserves that."
Michael Dulin, MD, PhD — Founder · practicing family physician · former Chief Clinical Officer for Analytics, Atrium Health · professor of health policy
Practicing primary-care MD PhD, neurophysiology Built a 60-person health analytics organization
Product validation: the founder's prototype runs daily on his real records — multiple health systems, Apple Health, and consumer genetics. The live demo is its synthetic-data twin.
The manifesto

Patients own every page of their health story.

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