AI ARCHITECTURE
MedTalk AI Architecture
From clinical conversation to clinician-reviewed documentation: the workflow and architecture principles behind MedTalk AI.
From clinical conversation to clinician-reviewed documentation
- 1Clinical encounter
- 2Consent and capture
- 3Speech processing
- 4Clinical language processing
- 5Structured documentation generation
- 6Validation and clinician review
- 7Export or EHR integration
Architecture principles
- Human-in-the-loop clinical review
- Privacy by design
- Data minimisation
- Secure authentication and authorization
- Tenant isolation
- Auditability
- Interoperability
- Model and dependency governance
- Controlled handling of sensitive health information
What this page will expand to include
This page describes the architecture at a level appropriate for public disclosure. A fuller technical reference, including the verified architecture diagram, documented trust boundaries, data flows, storage locations, and disclosed AI providers/models where appropriate, is planned as part of MedTalk's ongoing AI governance work.
Contact
Security & Compliance: support@medtalk.co
General enquiries: support@medtalk.co