Pseudonymising NHS Staff Occupational Health Records – UK GDPR-compliant anonymisation per DPA 2018 Sch.1 Pt.1

NHS staff occupational health records combine employment data with special-category health information — fitness-for-work assessments, mental health support referrals, and musculoskeletal assessments — processed under DPA 2018 Schedule 1 Part 1 for occupational medicine purposes. anonym.legal pseudonymises staff identifiers while preserving fitness-for-work conclusions, workplace-adjustment recommendations, and absence patterns for HR governance and workforce planning.

When this applies

This task applies when occupational health records are reviewed by workforce planning teams, HR governance auditors, or researchers studying occupational health patterns in NHS staff, and those reviewers require the clinical and occupational content but not the identity of individual staff members.

  1. Upload the occupational health records (PDF or DOCX) to anonym.legal.
  2. The engine identifies staff name, date of birth, NHS employee number, department, and the name of the occupational health physician.
  3. Each named individual is pseudonymised consistently; fitness-for-work conclusions, workplace-adjustment recommendations, and referral outcomes are preserved.
  4. Absence duration, adjustment type, and review date are preserved in clear text.
  5. The occupational health physician's identity is pseudonymised; their professional role and qualification status are preserved.
  6. A mapping table is produced with UK data residency with HR department access control.

What you provide

  • Occupational health assessment report
  • Fitness-for-work certification (if separate)
  • Any referral correspondence to specialist OH services

Limitations & cautions

  • Occupational health records are processed under a separate lawful basis from general patient records; confirm that the DPA 2018 Schedule 1 Part 1 employment condition supports the specific secondary use before processing.
  • Fitness-for-work conclusions disclosed to line managers must be the re-identified version — pseudonymised records are not appropriate for direct management use.
  • The tool does not advise on workplace adjustment obligations — obtain specialist occupational health and employment law advice.

FAQ

Can pseudonymised occupational health data be used for NHS workforce mental health research?

Pseudonymised occupational health data may be suitable for workforce health research under a governance framework that includes a data access agreement, ethics review, and a data minimisation plan. Consult the Health Research Authority's guidance for NHS staff health data research.

Are mental health referral records within occupational health files pseudonymised separately?

Yes. Mental health referral records within an OH file are identified as particularly sensitive and are pseudonymised with the same consistency as the broader OH record. The clinical substance of the mental health referral is preserved.

Does the tool handle records for bank or agency staff as well as substantive NHS employees?

Yes. Bank and agency staff occupational health records are processed identically. The employment relationship type is preserved in the record while the named individual is pseudonymised.

Healthcare Records

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.