Drug & Alcohol Test Result Redaction with anonym.plus

Clear donor identifiers from a workplace test result before any allowed sharing.

Drug and alcohol test result redaction is the removal of donor data from a testing record, which is special category health data under UK GDPR Art. 9 and the DPA 2018. Lawful workplace testing needs a clear basis and tight controls. anonym.plus marks each identifier on your device, so the outcome stays clear while the tested person is shielded.

When this applies

A laboratory report names the donor, the specimen reference, and the result. You trim the identifiers Art. 9 guards before a copy moves to an allowed recipient.

How anonym.plus handles it

  1. Open the result in anonym.plus on your device.
  2. Local OCR reads a scanned lab page.
  3. The tool flags the donor, the NI number, and contacts.
  4. Keep the specimen reference and the outcome line.
  5. Swap or black out the confirmed items.
  6. Save the clean copy locally.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONCarl Innes → [DONOR]
NI numberUK_NINOQQ 74 12 99 A → [NINO]
HealthMEDICAL_CONDITIONprescribed medicine → [CONDITION]
DatesDATE_TIMEDOB 1987 → [DOB]
ContactPHONE_NUMBER+44 7700 900119 → [PHONE]
NHS NumberUK_NHS208 551 1907 → [NHS_NO]

Compliance achieved

Anonymise drug and alcohol test results offline — see plans & start free →

Limitations & cautions

Art. 9 and the DPA 2018 set who may hold a result and on what basis. The tool removes identifiers; it does not decide lawful processing. Confirm your basis and recipients with the DPO or counsel.

Frequently asked questions

On what basis can an employer hold a test result?

Art. 9 needs a specific condition, such as employment and a clear policy with consent where required. The tool flags identifiers; the lawful basis is yours to set.

Can I keep the specimen reference?

Yes. Allow-list it so the chain-of-custody reference stays while donor identifiers are removed.

Is the result uploaded?

No. The app runs locally with no cloud step, so donor data stays on your machine.