How It Works

How MedMETs Works

A step-by-step walkthrough of how AI integrates into each phase of the clinical encounter — from initial patient contact through to long-term care.

Phase 01

Pre-Consult

Patient initiates contact
Patient books an appointment via the patient app, clinic website, or receptionist. The system generates a pre-consult intake link automatically.
AI-guided symptom collection
The patient completes a structured, adaptive symptom questionnaire. Questions branch based on responses to collect clinically relevant information efficiently.
Triage and risk scoring
The AI analyses intake responses and flags high-priority cases, suggests appointment urgency, and generates a pre-consult summary for the clinician.
Clinician briefing
Before the appointment begins, the clinician receives a structured summary of the patient's presenting complaint, relevant history, and any flagged risk indicators.

Phase 02

Consultation begins — transcription activates
Once the clinician opens the patient record, ambient transcription begins automatically. The clinician and patient speak naturally; no manual note-taking is required.
Real-time clinical assistance
The AI Assist panel surfaces relevant clinical guidelines, drug interactions, and suggested diagnostic paths based on the conversation content in real time.
Telehealth (where applicable)
For remote consultations, the integrated video session runs within the same interface. Documentation and AI assist functions work identically in telehealth mode.
Note structure generated
At consultation end, the AI produces a structured SOAP note — Chief Complaint, History, Examination findings, Assessment, and Plan — for clinician review and sign-off.

Phase 03

Note review and sign-off
The clinician reviews the AI-generated note, makes any amendments, and signs off within the platform. Average review time is under 90 seconds.
Automated outputs
The platform automatically generates referral letters, pathology requests, and patient instructions based on the consultation note and clinician selections.
Care plan creation
Where indicated, a structured care plan is generated using guideline-based templates and personalised to the patient's consultation outcome.
Follow-up scheduling
Follow-up reminders and appointment suggestions are generated automatically based on the care plan timeline and sent to the patient via the app.

Phase 04

Longitudinal record update
All consultation data, care plans, and outcomes are automatically appended to the patient's longitudinal health record, accessible to all authorised providers.
Immunisation and preventive care tracking
The platform monitors immunisation schedules, health screening intervals, and chronic disease management checkpoints, triggering reminders as needed.
Multi-provider coordination
For patients with complex or shared care, the Synchronised Patient Care module coordinates care tasks, shared notes, and outstanding actions across providers.
Population health monitoring
Practice-level dashboards identify cohorts requiring follow-up, overdue screening, or chronic disease review, enabling proactive care management at scale.

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