Vesalius learns faster: automatically analyze documents and medications, generate templates from existing intakes, and hear directly from patients through structured feedback.
Smart Document Analysis in Chat
When patients upload PDFs, referral letters, or medication images, Vesalius now automatically analyzes and processes their content. The chatbot extracts key information and incorporates it into the conversation summary—no manual data entry needed.
Generate Templates from Existing Intakes
Instead of building intake questionnaires from scratch, organizations can now upload existing Word or PDF intake forms. Vesalius automatically converts them into reusable templates with the correct structure—saving hours of manual setup.
Patient Feedback in Insights
Hear your patients' voice. The Insights dashboard now displays patient ratings (out of 5) and feedback summaries alongside clinical metrics. Archive feedback to keep your dashboard clean, and apply the same filters you use for clinical data.
Other Improvements & Bug Fixes
- Magic link to patient summary now works correctly (404 errors fixed)
- Scribe template dropdown now displays options properly
- Manually edited consultation notes are now saved correctly
- Drag-and-drop document upload functionality restored
- Recording stop button now enabled in Scribe
- Consultation notes generation completes successfully
- WhatsApp conversation starter now sends follow-up messages
- Contact form in booking flow redirects to organization email
- Dropdown selection lists now support scrolling for long option lists
- Medication bot results now isolated per user (no data sharing)
- Missing data warnings added to outputs with ##MISSINGDATA## placeholders
- New appointment types added for Hip & Knee Unit
- Location addresses in emails now display correctly
- Calendar appointments now visually disappear after cancellation
- Angular components updated to modern dependency injection
- Subscription plan names now properly translated in frontend
- Extra info input field for patient feedback on conversations
- Document classification with confidence levels (low/medium/high)
- Multiple stability and performance improvements