Lisa is browsing her feed.
She’s relaxing at home and wondering about pigmentation. A clinic post catches her attention.
01 · Meet Lisa
It starts
with a scroll.
A quiet evening. Her favourite feed.
Then something catches her attention.
Scroll down to follow her story
Keep scrolling ↓
Lisa’s journey · Read at your own pace
From a first question
to a prepared clinic.
The post opens a conversation.
The doctor-approved post invites her to ask about a consultation. Lisa follows its link to the clinic’s website chat.
Her questions get a clear reply.
Lisa: “What happens at a pigmentation consultation?”
AI assistant: “You’ll meet the clinician to discuss your concerns and possible next steps.”
Lisa asks about Saturday. The assistant offers the example consultation times using clinic-approved information.
She chooses Saturday at 11:00.
Lisa selects a consultation time and receives the example confirmation. She knows when she is coming in.
The context reaches the front desk.
The example staff view brings together her appointment, her interest in a pigmentation consultation, where the enquiry came from, her questions and the answers she received.
A patient with a next step. A team with context.
Staff can review the enquiry before the visit. Clinical assessment and treatment decisions remain with the clinician.