
Result explained
The marker your hospital measured, in plain words, with what it is and what happens next.

Hosted in the UAE
Your hospital's results, explained. A plan your doctor reviewed. The next visit booked — and counted.
How it works
Four screens the patient actually sees. These are captures of the app running on synthetic data.

The marker your hospital measured, in plain words, with what it is and what happens next.

Seven body systems, computed from the results already in the record. No new test.

A short plan of things to actually do, and a clinician's signature on it.

The follow-up booked at your own hospital, at a branch and a time that exist.
The loop
One result, followed all the way to a booked visit and a row in the ledger.


Your hospital's lab report arrives already explained: what each marker is, what the result means for you, and what the next step is.
From your hospital. We read the lab report it already produced — either a PDF or an HL7 or FHIR feed — and explain it. We do not order tests and we do not run a lab.
It is quarantined rather than dropped. Every incoming result ends up delivered, quarantined or rejected, and a daily reconciliation checks that the three add back up to what came in.
A clinician works a weekly queue in the hospital portal, adjusts what the engine drafted, and signs it. Nothing reaches the patient unsigned.
Yes. The portal has a weekly review queue built for a clinician to move through many patients quickly, and a plan is not sent until it is signed.
The rules engine and the assistant draft; a clinician decides. The assistant runs behind a guardrail layer — no diagnosis, no medication changes, red flags escalated — and every exchange is written to an audit row.
The plan lives in the hospital's own app on the patient's phone, next to the reminders and the tracking that keep it honest.
A small number of things to do, tied to the results that triggered them, with a milestone that is never a daily chore. Medication reminders, activity and nutrition tracking sit alongside it.
Only through an explicit access grant. Sharing is a first-class part of the data model, not a workaround, and it can be revoked.
The follow-up is booked into your own appointment book, and the return is counted in the same ledger that the export is built from.
Your hospital's. Slots come from your own availability, at your own branches, and a confirmed visit lands on the portal worklist.
Every step writes a row to an append-only ledger in the same transaction as the change itself. The funnel in the portal is a projection of that ledger, and the CSV export reproduces it row for row.
In the box
Everything below is in the product today. Nothing here is a roadmap item.
Reviewed by your own doctors
There is no medical board here and no roster of faces. The doctor who signs a plan works at your hospital, in a queue built for their week.

Every action in the loop writes one append-only row in the same transaction as the change itself. The funnel is a projection of it; the export reproduces it.
The patients who need something today, and the confirm action that closes a booked visit against the ledger.
A queue a clinician moves through to adjust what the engine drafted and sign it. Unsigned plans do not go out.
What the hospital sees
Four screens from the hospital portal, running on synthetic demo data.

The attribution funnel
Every stage from delivered to visit confirmed, projected from the append-only ledger, with a CSV export that reproduces it row for row.
Synthetic demo data
The worklist
The patients who need something done today, and the confirm action that closes a booked visit.
Synthetic demo data
The weekly review
The queue a clinician moves through to adjust and sign the week's plans.
Synthetic demo data
Opportunities
Patients whose results suggest a follow-up that has not been booked yet.
Synthetic demo data
Request a pilot
No. We read what you already produce. A lab PDF is enough to start; an HL7 or FHIR feed is better. Booking uses your existing availability and branches.
Yours. The patient app is hospital-branded and multi-tenant, so your patients see your hospital, not us.
In the UAE. Patient stores and model inference stay in region, clinical records are append-only, and the database enforces tenant isolation with row-level security rather than trusting application code.
By the ledger. Every funnel action is written in the same transaction as the change that caused it, so the funnel and the raw export cannot disagree. You can also hold out a share of patients and compare.
