Imaging Referral De-Identification with anonym.plus

Hide the patient while the clinical question stays clear.

Imaging referral de-identification is the removal of patient data from the request under the DPA 2018 and the NHS Code of Confidentiality (common-law duty of confidence). anonym.plus runs it on your device. The clinical question stays, but no person is named.

When this applies

You share a sample requisition to teach intake staff. The reason for the study can stay, yet the name, the date, and the contact line must go first.

How anonym.plus handles it

  1. Open the file (PDF, DOCX, or scan) on your machine.
  2. Local OCR reads scanned forms, so printed text is caught.
  3. The tool flags names, dates, IDs, and phone numbers.
  4. Review each flag and keep the clinical question.
  5. Swap each ID for a token, or remove it.
  6. Save the clean form. The source stays with you.

What you need to provide

Patient data entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONCarla Ruiz → [PATIENT_1]
DatesDATE_TIMEReferred 10/05/2026 → [DATE]
Record IDsMEDICAL_RECORD_NUMBERMRN 504219 → [MRN]
ContactPHONE_NUMBER+44 121 496 0166 → [PHONE]
ReferrerORGANIZATIONGlenfield GP Practice, Leicester → [CLINIC]
LocationLOCATION210 Elm Street, Leicester → [ADDRESS]

Compliance achieved

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Limitations & cautions

A request often holds two parties: the patient and the referrer. Decide which to hide. The tool flags both, but you choose what stays.

Frequently asked questions

Does the clinical reason get removed?

No. The reason for the study is left in place. Only patient details and contact lines change, so the request still reads clearly.

Are referring-clinician details flagged too?

Yes. The referrer's name, phone, and address are flagged like any field. You decide whether to keep or hide that line.

Can I clean a stack of intake forms at once?

Yes. Point the app at a folder of forms. It applies your rules to each one, which suits a training set for new staff.