A clinical AI app that drafts the note, not the decision.
An AI scribe writes the visit note while the clinician talks, and the clinician reviews it before anything is saved. A five-week web MVP, now run under a monthly SLA, with the mobile app on its way to the stores.
- Web MVP
- Live in 5 weeks
- Patient data
- Kept in the EU
- Runs under
- A monthly SLA
At a glance
- Client
- Tibra Health, a clinical AI company
- What we built
- An AI scribe, a note editor and PDF reports, then health-record links, red flags and visit summaries
- Stack
- Next.js with Supabase in the EU on the web, and Expo for iPhone and Android
- Time
- 2025 to 2026, starting with a five-week web MVP
- Data and security
- Consent before recording, patient data in the EU, and a security brief
- How it runs now
- Under a monthly SLA, with the mobile app on its way to the stores
Draft the note. Never make the call.
A clinician's notes have to be right, and the decisions in them have to stay the clinician's. So the AI scribe drafts the visit note while the clinician talks, and nothing is saved until the clinician has read, edited and signed it.
It also had to ask the patient for consent before recording, keep patient data in the EU, and reach clinicians fast. The first version went live as a web MVP in five weeks.
Drafted by AI, signed by the clinician.
A web app on Next.js, with Supabase in the EU behind it. The mobile app is built with Expo and is on its way to the stores.
Three parts first, three more next.
The top row went live as the five-week web MVP. The second row is phase 2, planned at six weeks.
AI scribe
Drafts the visit note while the clinician talks, once the patient has agreed to the recording.
Note editor
The clinician reads, edits and signs the draft. Nothing is saved before they do.
PDF reports
Each signed note turned into a PDF report.
Health-record links
Each visit linked to the patient's health records.
Red flags
Warning signs in a visit flagged for the clinician to check.
Visit summaries
A short summary of each visit, drafted for the clinician to review.
The result
Live, and run every month.
The web app runs under a monthly SLA, with phase 2 planned on top of the MVP and the mobile app on its way to the App Store and Google Play. We also wrote the app's security brief, and patient data stays in the EU.
Three builds this one proves.
Each has its own page, price range and timeline.
An AI scribe that drafts the visit note
Drafted while the clinician talks, and saved only once they sign.
Use case: AI scribe →An MVP web app in weeks
Sign-in, payments, admin and your core AI feature, live after each phase.
Use case: MVP web app →An app for iPhone and Android
One codebase for both phones, with voice, camera and documents.
Service: AI mobile apps →