Focuscare
End-to-end physiotherapy consultation automation: patient onboarding to AI-generated notes and follow-up scheduling.
// Today — live transcription turning into a structured SOAP note
Figures from the engagement, shared under NDA.
We publish them unchanged and can’t break them down any further here. The reference build you can open runs entirely on sample data.
What it does — and which part of it we built.
One-click consultation start. OpenAI Whisper for real-time transcription, GPT-4 for structured clinical notes, automated appointment reminders from treatment plans.
Every screen here is from the reference build, not the client’s system.
The captions say what you are looking at. Every name and record on them is sample data.
The stack was picked per constraint, not per house habit.
5 technologies across 3 layers — the shape of the stack follows the problem.
Every feature in the build (5)
- Client-side audio via WebSocket to Python backend running Whisper
- Real-time transcript with speaker identification
- GPT-4 with physiotherapy-specific prompts for SOAP format notes
- Treatment plans trigger appointment workflows automatically
- Multi-channel reminders (SMS + email), missed appointment detection
Don’t take our word for it — it is running in the frame below.
This is the same page the provenance block links to: our reference build for Focuscare, with its own look, copy and motion. Scroll inside it, or open it full-screen.
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