Appeals anonymisation is the removal of UK GDPR Art. 9 identifiers from an appeal or grievance packet. anonym.plus runs on your device. The argument stays clear, but the pages no longer name the person.
When this applies
An appeal packet names the member, cites the decline, and argues the case. To study overturn rates or train reviewers, clear those IDs first.
How anonym.plus handles it
- Load the packet into anonym.plus on your device.
- Local OCR reads any scanned attachments too.
- The tool flags the member, dates, and ID numbers.
- Keep the appeal argument and the cited evidence.
- Swap or black out the confirmed IDs.
- Save the clean packet on your machine.
What you need to provide
- The packet (PDF, DOCX, or bundle).
- An operator (Replace keeps the prose readable).
- Optional alias map for repeat members.
Patient data entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | Member F. Costa → [MEMBER] |
| Member ID | UK_HEALTH_INSURANCE_MEMBER | ID BUP-557820 → [MEMBER_ID] |
| Claim ref | ID | Appeal AP-3312 → [REF] |
| Dates | DATE_TIME | Filed 04/06 → [DATE] |
| Address | LOCATION | 7 Birch Close → [ADDRESS] |
| EMAIL_ADDRESS | f.costa@example.co.uk → [EMAIL] |
Compliance achieved
- Strips UK GDPR Art. 9 & DPA 2018 health identifiers.
- Catches member numbers and appeal references as personal data.
- Fully offline — no cloud upload required.
- On-device AES-256-GCM guards working copies.
Anonymise appeals packets offline — see plans & start free →
Limitations & cautions
Appeal packets staple many pages together, some scanned. Review low-confidence flags from scans. A rare condition in the argument can re-identify, so apply the ICO motivated-intruder test for unusual cases.
Frequently asked questions
Does the appeal argument survive the swap?
Yes. The reasoning and cited evidence stay word for word. Only the IDs change, so the packet still teaches the process.
Are emails and addresses removed?
Yes. The member’s contact details are personal data and are flagged for removal.
Can a mixed bundle of pages be cleaned?
Yes. Native and scanned pages both work. Scans are read with local OCR first.