Know what changed. Know what to do.
Paste any clinical document — discharge summary, specialist letter, outpatient note. Clinical Lens reads it and pulls out what changed: new diagnoses, medication changes, outstanding investigations, and tasks that need your action. In seconds, privately, without storing a thing.
Five fields extracted from every document
How it works
Three steps from letter to structured summary — no setup, no account, no configuration.
Upload or paste
Drop a text-based PDF or paste text directly from a discharge summary, specialist letter, or outpatient note.
Supports PDF and plain textDe-identified in your browser
Patient names, dates of birth, Medicare numbers, MRNs, addresses, and phone numbers are replaced with labelled placeholders before anything leaves your device.
Zero patient data transmittedStructured summary ready
Five clinical fields are extracted and displayed in a clean card. Each field has a copy button — paste directly into your PMS.
Under 10 seconds end-to-endBuilt for GP practices
Designed around the privacy requirements and workflow realities of Australian general practice.
Privacy by design
De-identification runs entirely in your browser. Patient names, DOB, Medicare numbers, MRNs, addresses, and phone numbers are replaced with placeholders before anything leaves your device.
Structured in seconds
Powered by Claude, a leading clinical AI model. Paste a letter and receive a structured summary in under 10 seconds — ready to copy into Best Practice, Medical Director, or any PMS.
Works with your documents
Upload a text-based PDF or paste directly. Supports discharge summaries, specialist letters, outpatient clinic notes, and more.
No patient data ever leaves your browser.
The de-identification step runs entirely in JavaScript in your browser, before any network request is made. The raw document text is never sent to any server or API — only the de-identified version is transmitted.
- Patient names → [PATIENT_NAME]
- Dates of birth → [DOB]
- Medicare numbers → [MEDICARE_NUMBER]
- MRN / hospital record numbers → [MRN]
- Street addresses and postcodes → [ADDRESS]
- Phone numbers → [PHONE]
- Email addresses → [EMAIL]
De-identification preview
Patient: John Smith
Patient: [PATIENT_NAME]
DOB: 14/03/1962
DOB: [DOB]
Medicare: 2345 67890 1
Medicare: [MEDICARE_NUMBER]
Runs in browser · No data transmitted