← Use cases

Healthcare

Draft doctor’s letter from bullet points

From treatment bullet points comes a drafted letter — strictly on-premise.

Local LLM

The problem

Doctor’s letters cost an enormous amount of time — time that is then missing with patients. Cloud AI is off-limits here: this is highly sensitive health data.

The solution

The doctor dictates or types bullet points; a locally running model drafts a structured letter in the practice’s usual style. Nothing leaves the practice server. The doctor reviews, corrects, signs.

How it works

  1. The model runs on-premise on a small GPU machine in the practice.
  2. Bullet points → structured draft (history, findings, plan).
  3. The practice’s own text blocks and tone are applied.
  4. No internet needed — 0 patient data leaves the building.

What changes

Noticeably less documentation time, more time with patients — without scratching data protection in the slightest.

Honest take

This is a case where AI genuinely helps — but ONLY on-premise. A cloud solution would simply be the wrong path here. And the draft stays a draft: medical responsibility is not delegated to a model.