The problem
Independent surgical and medical practices stitch together scheduling, patient intake, billing codes and compliance across tools that don't talk to each other. Pre-consultation forms are static and generic, so clinicians arrive underinformed, and setting a new practice up on any system is slow and manual before it delivers any value.
What we built
- A practice CRM (Django/PostgreSQL): appointments, a secure patient portal with 2FA, audit logging, consent and messaging, prescriptions and progress notes, plus AI transcription and summarisation of clinical audio
- An adaptive pre-consultation questionnaire engine where questions branch on prior answers and an LLM suggests the most relevant next question, with an admin studio to edit, version and visualise question trees across human and veterinary specialties
- A conversational onboarding assistant that interviews a practitioner and generates a ready-to-import configuration of the whole practice, billing included
- Designed for multi-tenant, multi-language, RGPD-aware deployment
Where it stands
The practice CRM is built out and deployment-ready on a standard Linux/PostgreSQL stack with background processing and automated backups; the adaptive-questionnaire product is a working, cloud-deployable application with a full admin console; the onboarding assistant and the broader multi-tenant platform are at earlier stages.