Healthcare Records
Fake hospital discharge summaries — patient, doctor, and diagnosis details.
- Rows
- 96
- Region
- India
- Labeled PII
- Yes
- Fraud labels
- No
What you can test with it
- Score a DLP, redaction or PII-detection system against the ground-truth answer key — every sensitive field is already labeled.
- Test clinical-document extraction and PHI redaction on India-shaped data rather than US-shaped placeholders.
- Populate a lower environment, demo or training set without touching real customer data.
Fields
- record_ref
- subject_ref
- doctor_ref
- hospital_name
- region_code
- patient_gender
- patient_age
- city
- state
- gcs_uri
- answer_key_uri
- pii_span_count
Related datasets
Is this data safe to use?
Yes. Every record is generated, never derived from or masked from real people, and every identifier is non-issuable by construction — correctly formatted, but failing checksum validation or using a reserved range so it can never match a real person or institution.