FMLA Certification Redaction with anonym.plus

Strip names, diagnoses, and contacts from a WH-380 form before it is shared.

FMLA certification redaction is the removal of personal and health data from a medical certification governed by 29 CFR 825. The rule lets an employer confirm a serious condition, yet the underlying details stay private. anonym.plus marks each item on your own device, so the form reads clearly while the data goes.

When this applies

A provider's WH-380 quotes a diagnosis, dates, and contact lines in full. You trim those identifiers under 29 CFR 825 before the file moves to a manager.

How anonym.plus handles it

  1. Open the form in anonym.plus on your workstation.
  2. Local OCR reads any scanned provider page attached to it.
  3. The tool flags names, dates, contacts, and the diagnosis.
  4. Confirm each flag and keep the eligibility boxes intact.
  5. Replace each item with a label, or black it out.
  6. Save the clean copy. It never leaves your machine.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONMaria Delgado → [EMPLOYEE]
HealthMEDICAL_CONDITIONdiagnosis → [CONDITION]
ProviderMEDICAL_LICENSElic. ME-44210 → [LICENSE]
DatesDATE_TIMEonset 03/14/2026 → [DATE]
ContactPHONE_NUMBER(312) 555 0147 → [PHONE]
IdentifiersUS_SSN411-90-8821 → [SSN]

Compliance achieved

Anonymize FMLA certifications offline — see plans & start free →

Limitations & cautions

The tool flags named items, but it cannot judge when a rare condition plus a role re-identifies a worker. Review the narrative boxes yourself. Keep the certification stored apart from the general personnel file.

Frequently asked questions

What may an employer keep from an FMLA certification?

Enough to confirm a serious condition and the leave need, per 29 CFR 825. The diagnosis detail itself can be trimmed, and anonym.plus flags it so you decide.

Is the certification uploaded for processing?

No. The desktop app runs on your device with no cloud step, so the health data stays on your machine.

Will the form still read correctly after the swap?

Yes. The Replace operator drops a steady label in place of each item, so the boxes still make sense without naming a real person.