Revalidation File De-Identification with anonym.plus

Clear personal identifiers from a revalidation bundle before panel review.

Revalidation de-identification is the removal of personal data from a clinician’s appraisal bundle. It meets the DPA 2018 & GMC guidance for reuse. anonym.plus runs on your device and keeps the training and scope detail intact.

When this applies

The bundle holds the clinician’s name, registration number, and references, plus patient names in case logs. A blinded panel wants the qualifications, not who they belong to.

How anonym.plus handles it

  1. Load the bundle into anonym.plus on your device.
  2. Local OCR reads scanned certificates and appraisal forms.
  3. It flags clinician names, registration numbers, and any patient names.
  4. Confirm the flags and keep the training detail you need.
  5. Swap each personal item for a clear label.
  6. Save the cleaned version. The source stays local.

What you need to provide

Patient data entity types detected

Categoryanonym.plus entity typeExample
ClinicianPERSONDr. Samuel Osei → [DOCTOR]
RegistrationMEDICAL_LICENSEGMC No. 7123456 → [LICENSE]
IdentifiersNATIONAL_IDNI No. AB 98 76 54 C → [ID]
DatesDATE_TIMEqualified 2008 → [DATE]
PatientPERSONcase log: P. Ahmed → [PATIENT]
ContactEMAIL_ADDRESSs.osei@example.nhs.uk → [EMAIL]

Compliance achieved

Anonymise revalidation files offline — see plans & start free →

Limitations & cautions

The bundle mixes the clinician’s own records with patient names in case logs. Both must go. Scanned appraisal forms lean on OCR, so check that registration numbers were read correctly before you share a blinded copy.

Frequently asked questions

Is a registration number personal information?

Yes. It identifies one clinician. For a blinded review you swap it, along with any patient names that appear in case logs.

Will the qualifications still be clear?

Yes. Training, college status, and scope stay. Only the items that point to a person change.

Can I process a scanned appraisal form?

Yes. Local OCR reads scanned pages, so identifiers in image documents are caught.