Benefit statement redaction is the removal of UK GDPR Art. 9 identifiers from an Explanation of Benefits (EOB) or benefit statement. anonym.plus runs on your device. The cost lines stay clear, but the page no longer names the member.
When this applies
A benefit statement lists the patient, the subscriber, and amounts paid. To use it in a dispute file or a teaching set, clear those IDs first.
How anonym.plus handles it
- Open the statement in anonym.plus on your workstation.
- Local OCR reads the printed grid, even on a scan.
- The tool flags the patient, the subscriber, and ID numbers.
- Confirm the flags and keep the charge and payment columns.
- Replace each ID with a steady alias, or redact it.
- Save the clean page. Nothing is sent off the device.
What you need to provide
- The statement (PDF, scan, or insurer export).
- An operator: Replace for readable copies, Redact for audit trails.
- Optional alias map to keep one person steady across pages.
Patient data entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | Patient Omar Saleh → [PATIENT] |
| Subscriber | PERSON | Subscriber L. Saleh → [SUBSCRIBER] |
| Member ID | UK_HEALTH_INSURANCE_MEMBER | ID W19284455 → [MEMBER_ID] |
| Claim ref | ID | Claim 7741-22 → [REF] |
| Dates | DATE_TIME | Service 02/09 → [DATE] |
| Address | LOCATION | 9 Larch Avenue → [ADDRESS] |
Compliance achieved
- Removes UK GDPR Art. 9 health identifiers from the statement.
- Catches subscriber and member numbers as personal data.
- Fully offline — no cloud upload required.
- On-device AES-256-GCM guards working copies.
Anonymise benefit statements offline — see plans & start free →
Limitations & cautions
UK GDPR Art. 9 anonymisation requires that no motivated intruder could re-identify the person. The tool removes direct identifiers. You still need to judge rare free-text clues. For high-risk cases, apply the ICO motivated-intruder test before sharing.
Frequently asked questions
What identifiers appear on a typical benefit statement?
Names, address, all dates tied to the person, the member or subscriber number, the account number, and the reference code. The tool flags each as personal data.
Will the cost breakdown survive redaction?
Yes. The charge, allowed, and paid amounts stay. Only the IDs change, so the page is still useful for review.
Can a scanned statement be cleaned?
Yes. Local OCR reads scanned pages, so IDs in image files are caught.