Emergency Department Record Anonymisation with anonym.plus

Clear identifiers from A&E charts while the clinical timeline stays whole.

A&E / emergency department record anonymisation removes identifiers from an ED visit — triage, exam, and disposition — under DPA 2018 and the NHS Confidentiality Code. anonym.plus works locally and keeps the time-stamped course intact.

When this applies

A&E files are fast and identifier-heavy: arrival mode, triage name, times, and disposition. For flow analysis or teaching, strip the identifiers but keep the timeline.

How anonym.plus handles it

  1. Load the A&E file into anonym.plus on your device.
  2. It finds triage, visit, and disposition identifiers.
  3. Shift arrival and exit times while you keep the gaps.
  4. Swap or black out the confirmed personal data.
  5. Save the clean file on your device.

What you need to provide

Patient data entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONK. Berg → [PATIENT]
DatesDATE_TIME21:14 03/02 → shifted [DATETIME]
Record IDsMEDICAL_RECORD_NUMBERED visit 9921 → [VISIT]
LocationLOCATION5 Lindenweg → [ADDRESS]
ContactPHONE_NUMBER07700 900456 → [PHONE]
NamesPERSONparamedic crew → [STAFF]

Compliance achieved

Anonymise A&E records offline — see plans & start free →

Limitations & cautions

A&E text often holds incident places and bystander names, which are indirect clues. Date-shift keeps the gaps but breaks links to outside logs, like ambulance times, unless you shift those by the same offset too.

Frequently asked questions

How does date-shift keep A&E data useful?

Each file’s dates move by one steady offset. The minutes between arrival, exam, and exit stay, so flow analysis works while the real times are hidden.

Are paramedic and bystander names removed?

Yes. Anyone named in the file can be flagged and swapped, not just the patient.

Can I clean a batch of A&E visits at once?

Yes. Point anonym.plus at a folder for steady local work.