Healthcare AI app
We made patient intake feel like a guided intake companion.
Luma Clinic is a premium patient intake and triage app that gathers context before an appointment and gives clinic teams a cleaner, faster handoff.
Health appLuma Clinic
Project brief
Example buildMobile appWorkflow automation
01
Care starts before the visit
Patients need guidance without feeling like they are being pushed through a generic form flow.
02
The handoff must be clean
Staff need structured information that can be trusted, reviewed, and routed without creating another admin burden.
03
Trust is part of the UI
The product has to signal privacy, calm, and competence from the first tap.
Proof surface
Healthcare AI only works when the experience feels careful.
Luma Clinic needs to take pressure off staff while making patients feel handled. The interface has to balance clinical seriousness, warm guidance, and airtight workflow logic.
Clinical calm with premium product behavior.
Privacy-forward by default.
Patient intake that feels guided instead of bureaucratic.
What it proves
The build has to make the category feel inevitable.
Each lane is designed as working proof: clear positioning, useful interaction, and the implementation discipline needed to make a high-end idea feel launch-ready.
01
Patient-friendly structure
A mobile-first intake flow that collects history, symptoms, uploads, and consent with low friction.
02
Human review built in
A clinic review workspace that turns intake into actionable triage without over-automating clinical judgment.
03
Warm clinical polish
A design system that avoids sterile stock healthcare tropes while keeping every state legible and serious.
More builds
If the category is hard, that is exactly where we like to work.
Bring the product, the launch, or the system that still feels too ambitious for the usual agency machine. That is the territory.