Context over chat
A generic assistant answers from nothing and produces generic text. An agent grounded in the patient's images, history, severity scores, and prior reports produces clinically meaningful work.
Introducing Context Medicine
AgenticDerm is a workspace for dermatologists where each patient is a project. Images, documents, and notes on the left. The report you are writing in the centre. On the right, an agent whose job is not to chat, but to create sources, analyse images, and enrich the patient's context until the clinical picture is complete.
The idea
Preventive medicine reorganised care around anticipation. Personalised medicine reorganised it around the individual. Context Medicine reorganises agentic clinical support around the one thing that makes AI useful in the clinic: a deliberately engineered, continuously growing context of the patient and the disease.
A generic assistant answers from nothing and produces generic text. An agent grounded in the patient's images, history, severity scores, and prior reports produces clinically meaningful work.
Analyse an image, the analysis becomes a source. Draft a report, the report joins the record. The patient workspace gets richer with every interaction, so the next one is better.
Borrowed from context engineering in software: what the agent knows is curated on purpose, from clinical sources to your clinic's own conventions, templates, and people.
The product
If you have seen a modern code editor, you already know the layout. AgenticDerm applies it to the clinic.
Sources
The patient's files: clinical photographs, PDFs, lab results, referral letters, notes, prior reports. Everything the agent is allowed to know.
Editor
The document you are actually producing: a report, a clinical note, a letter. Not a chat transcript; a deliverable.
Agent
Conversational, but built to do work that lands in the workspace: analyse images, summarise sources, draft documents, create new context.
The engine
Dermatology is visible medicine, so the image is the centre of gravity. Every clinical photograph added to a patient connects to the Legit.Health+ AI engine.
Objective, quantified severity of visible signs, scored consistently across visits, so evolution and response to treatment become part of the patient's context.
Ranked diagnostic hypotheses with risk indicators, returned as structured data the agent can reason over and cite in the documents it drafts.
Your clinic's memory
Beyond each patient, your organisation has its own context: skills, agents, and memories shared across the whole team.
How artefacts get made: PDF branding, report structure, letter formats, terminology. A report from AgenticDerm looks like it came from your clinic, because it did.
Specialist behaviours ready to invoke: the report writer, the image analyst, the referral drafter. Consistent across every doctor in the organisation.
Standing facts: who is who, who signs what, languages of practice, preferred phrasings. Captured once, in a guided onboarding, applied everywhere.
AgenticDerm is in development. Tell us about your clinic and help shape it.
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