Fraud investigation redaction is the removal of IDs from a special-investigation file. The conduct under review is usually alleged to fall under Fraud Act 2006 s.2, false representation, and larger UK insurers pool that intelligence through the industry's own Insurance Fraud Bureau under the crime-prevention condition in DPA 2018 Schedule 1. anonym.plus works locally and keeps the case findings the investigation rests on.
When this applies
An investigation file names the policyholder, the provider, and the suspect pattern that a Fraud Act 2006 case would need to prove. To share findings with a partner insurer or a cross-industry intelligence scheme, or to train staff, clear those IDs first.
How anonym.plus handles it
- Load the file into anonym.plus on your device.
- It finds the member, the provider, and contacts.
- Dates and ID numbers get flagged across the pages.
- Keep the case findings and the cited evidence.
- Black out items for a referral, or swap them.
- Save the clean file on your machine.
What you need to provide
- The case file (PDF, DOCX, or bundle).
- An operator (Redact for referral copies).
- Optional alias map for the individual and provider.
Patient data entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | Member B. Stark → [MEMBER] |
| Provider | PERSON | Dr Vance → [PROVIDER] |
| Member ID | UK_HEALTH_INSURANCE_MEMBER | Mbr AXA-902231 → [MEMBER_ID] |
| Account | ACCOUNT_NUMBER | Acct 4471 → [ACCOUNT] |
| Dates | DATE_TIME | Flagged 02/28 → [DATE] |
| Phone | PHONE_NUMBER | +44 1632 960880 → [PHONE] |
Compliance achieved
- Supports referral of conduct that may amount to Fraud Act 2006 s.2 false representation.
- Sharing with the Insurance Fraud Bureau relies on the crime-prevention condition in DPA 2018 Schedule 1.
- Meets DPA 2018 & UK GDPR for reuse of the health data in the file.
- Catches both the member and the provider as named items.
- Offline work keeps the sensitive file within your organisation.
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Limitations & cautions
These files mix claims data, notes, and exhibits. Check that every exhibit is scanned. The suspect pattern can hold rare clues, so review the findings before you share them outside.
Frequently asked questions
Is the provider anonymised too?
Yes. The provider under review is a named item in the file in their own right, not just a reference tied to the member, so they are flagged and swapped along with the member.
Will the case findings stay usable?
Yes. The suspect pattern and the evidence stay untouched. Only IDs change, so the findings still support a referral for prosecution under the Fraud Act 2006 or a report to the Insurance Fraud Bureau.
Can a mixed bundle of exhibits be cleaned?
Yes. Notes, claims pages, and scanned exhibits all work in one local pass. Scans are read with local OCR first, so an exhibit does not need to be re-typed to be checked.