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Patient App

A medical team in your patient’s pocket

The clinic ecosystem. The patient app (App Store, Google Play — Regain Health) is one of its modules, the same record in the patient's hand. Same AI agent Cortex, same rule: it suggests, the doctor confirms.

  1. 12:05

    On the doctor's screen

    The doctor confirms the treatment plan in the patient's chart.

    On the patient's phone

    The plan appears on the phone as locked cards, marked "verified by doctor."

  2. 13:15

    On the doctor's screen

    The doctor closes the visit and the document assembles from the chart.

    On the patient's phone

    The PDF arrives on Telegram — no call to reception, no trip back for paperwork.

  3. Next morning

    On the doctor's screen

    The reading lands in the same chart, on the clinician's own screen.

    On the patient's phone

    The patient logs a blood-pressure reading in the app.

Patient app videos

Both app modules recorded on working software: intake and triage in Clinic, the daily task timeline in Protocol.

Demo for patients: Clinic Module (Regain Health Mobile App)

The Clinic module: a branching symptom questionnaire, lab-result upload, a red-flag check that runs before any AI analysis, a report carrying a working theory and the list of ruled-out explanations, a plan for today, and booking a video consultation.

Demo for patients: Protocol Module (Regain Health Mobile App)

The Protocol module: a single daily timeline of time-slotted tasks, one-tap completion, photo logging for meals, a workout timer, a library of ready-made protocols under Discover, and recommendations from the Clinic report carried into the plan.

The 15-minute problem

Your patients forget most of what you tell them before they reach the car park. A 15-minute appointment is enough for a prescription, not for a root cause. The patient app picks up where the appointment ends: a daily plan, an explanation behind every recommendation, and a live link back to the clinic — without adding to your staff’s workload.

Two-minute onboarding

The doctor taps "Send app" during the visit. An SMS with a short link arrives. The patient enters their phone number, receives a one-time code, and they are in. No passwords, no app store, no IT department.

A calm daily timeline

Every morning the patient opens "Today": a short list of cards timed to their day. Morning medication, a walk after lunch, dinner before eight, blood pressure on Wednesday. One tap to mark done. Doctor-placed cards are locked and labelled "verified by doctor."

Glass Box, not vibes

Every recommendation has a "Why?" button. The patient sees where it came from, what data it rests on, what is uncertain, and what would change it. Deterministic rules first, plain-language explanation second. No black-box guessing.

Safety that does not sleep

A patient types "chest pain." A deterministic filter in three languages catches it before the AI is called. The AI is never invoked. The patient sees immediate safety steps. A task lands in the support queue within seconds. Medication dosage advice without a doctor’s order is blocked at every layer.

Real data between visits

Blood pressure, weight, waist, glucose — logged as a time series, not once a quarter. A daily check-in captures mood, energy, sleep, and hunger in four taps. Your clinicians see everything in real time on their screen.

One system, two screens

Nobody enters anything twice, because there is no second system to enter it into. The patient's phone and your clinic screen are one and the same system. What the clinician saves, the patient sees; what the patient logs, the clinician sees. Every improvement to the system reaches the patient on its own.

Questions answered

Patient App

A search shows everything that could be true without looking at your data, and it is easy to take the most alarming explanation personally. Here, several specialised AI agents work through your own data and check each other's hypotheses.

A hypothesis that does not fit your labs and your lifestyle gets dropped. You see which explanations held up, what was ruled out and why — and if there is not enough data, the app says so.

No. The app helps you understand and remember, but it does not prescribe. Medications, lab interpretation, treatment plans — those are your treating physician's decisions. The app helps you carry out what they prescribed.

We do not rely on a single model answer. A conclusion only reaches you after an attempt to refute it: a hypothesis that contradicts your data is dropped.

Every conclusion in the report has a "Why?" button that shows the reasoning, the data behind the report, and the sources. The report also lists what was ruled out, and why.

Our most important rule: truth over having an answer.

If the AI agents refute all available theories, or two theories are equally likely, the system stops and tells you honestly what is missing: "We cannot distinguish Theory A from Theory B yet. We need you to track your blood pressure for 24 hours to find the answer."

We do not guess with your health — we acknowledge uncertainty and tell you how to resolve it.

The app is for planned monitoring, not for emergencies. In an emergency, call your local emergency number. If you type something like "chest pain," a deterministic filter catches it before the AI is called.

The model is never invoked. You see specific first-aid steps, and a task lands in the support queue within seconds.

Data is stored encrypted and access-controlled. Your medical information and your identity are separated — even inside the system, the link between them is protected. The action log cannot be modified or deleted.

You can export your data, and your account is deleted on request. Your data belongs to you.

Partially. Your daily timeline is preloaded and opens with no connection. Check-marks go out as soon as you are back online. The AI needs the internet.

Wearables are coming later. For now, measurements are entered by hand: blood pressure, weight, waist, glucose, and wellbeing.