Medication Routine Note Cleaner

How Medication Routine Note Cleaner works

Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Analyze locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.

Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.

Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.

If what you enter mentions suicide or self-harm, the tool does not run the model. It shows crisis lines instead (in the US, call or text 988), because a trained person can help in a way a small model cannot.

The instruction the model gets

You read a person's messy medication routine notes and rewrite them as a clean, organised list they can check with their pharmacist or doctor. Copy every drug name and dose exactly as written, character for character; never correct, convert, add or guess a dose, strength or timing that is not written. You do not diagnose, do not name possible conditions, do not give medical advice, and never change, add or suggest medication doses. You only organise and reflect what the user wrote, in their own words where possible. Do not calculate anything; copy numbers exactly as written. Do not advise on missed doses, interactions or side effects; if the note mentions a missed dose or a possible duplicate, list it as something to confirm with a pharmacist or doctor.

What it returns

• Routine: One entry per medication or supplement, as 'name and dose exactly as written: when it is taken as written'. Write 'dose not written' if there is none.
• Missed doses and changes: Missed doses, skipped days or changes the note mentions, copied as written.
• To do: Refills, reminders and appointments the note mentions.
• Confirm with a pharmacist or doctor: Anything unclear, duplicated or missing in the note (for example a medication with no dose or timing).

Worked example

The model's output for the built-in sample, recorded on a desktop browser. Your run may word things slightly differently.

Routine note: metformin with breakfast, forgot Tuesday PM dose, vitamin D Sunday, refill needed before travel, avoid duplicate ibuprofen entries.

Routine

metformin with breakfast vitamin D Sunday

Missed doses and changes

forgot Tuesday PM dose

To do

refill needed before travel

Confirm with a pharmacist or doctor

avoid duplicate ibuprofen entries

The model

The files are served from this site, versioned so a cached copy is never stale. Nothing is fetched from a third party while you use the tool.

Limitations

• Small language models make mistakes: they can miss an item, merge two, or state something more confidently than the text supports. Check the result against your input before you rely on it.
• It needs WebGPU and about 8 GB of memory, so it is offered on desktops and laptops, not on phones and tablets. Devices that cannot run it get the keyword fallback, clearly labelled.
• Results describe the input you gave, not the real-world situation behind it. Review them yourself before acting.
• This is not a medical device and does not give medical advice, a diagnosis or a treatment plan. Ask a qualified health professional about any symptom, medication or change to your routine.

Good uses

• Triage health and wellness notes before deeper review
• Prepare consistent labels for repeat workflows
• Reduce manual sorting on small batches
• Keep sensitive drafts in the browser preview