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Redact health status from text, JSON, and CSV

Health status is broader than a diagnosis: it covers disability, pregnancy, sickness absence, and fitness for work. All of it is special-category data under GDPR Article 9.

How Redactly detects health status

• Detected by the model from free-text statements rather than any pattern.
• Covers status descriptions that never name a condition.
• Reported separately from healthcare.condition so you can treat each as you need to.

Why redact health status?

Article 9 data requires an explicit legal basis, so an accidental disclosure is a compliance event, not just a data incident.

Example request

curl -X POST https://api.bitbanger.in/v1/redact \
  -H "X-API-Key: rdct_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"text": "Employee is on long-term sick leave following surgery.", "style": "replace"}'

Every hit in the response carries entity, text, start, and end. The offsets index into the text you sent, so you can apply the redactions to your own copy of the document. The full response schema is in the API reference.

Questions

Related entity types

• Medical conditionsRedact diagnoses and medical conditions from clinical notes, claim narratives, and support transcripts.
• MedicationsRedact drug names and prescriptions from clinical text and support transcripts.
• Religious beliefsRedact references to religious belief or affiliation from HR records, applications, and free text.