Healthtech PII redaction

Protect patient data in CT scan diagnostics

Nucleo's AI platform analyzes sensitive CT scans to generate oncological insights. Shroud ensures patient identifiers are redacted before logging or analysis, maintaining HIPAA compliance while preserving diagnostic value.

RAW CT SCAN METADATA

Patient: John Doe, MRN: MRN-8471293, DOB: 1990-05-15
Scan Date: 2023-11-20, Findings: Lung mass measuring 2.1 cm, Stage: T1bN0M0
Radiologist: Dr. Emily Chen, Contact: emily.chen@hospital.org

↓ shroud.redact(…)

REDACTED OUTPUT

Patient: [NAME], MRN: [MRN], DOB: [DATE]
Scan Date: [DATE], Findings: Lung mass measuring 2.1 cm, Stage: T1bN0M0
Radiologist: [NAME], Contact: [EMAIL]

TRY WITH YOUR DATA

Why Nucleo needs Shroud

HIPAA compliance for AI diagnostics
Nucleo's platform handles sensitive patient CT scans - automated redaction prevents PHI leaks in logs and analytics
Protect patient privacy in research data
When sharing diagnostic insights for research, Shroud ensures no identifiable patient data leaves your secure environment
Maintain data utility while removing identifiers
Preserve critical diagnostic information while removing MRNs, names, and dates that could identify patients

INTEGRATION FOR PYTHON (FLASK/DJANGO)

# pip install shroud
# In your diagnostic processing pipeline:
from shroud import Client

shroud = Client(api_key="sk_live_yourkey")

# Before saving to database or logging:
clean_metadata = shroud.redact(ct_scan.metadata)

# For analytics where you need reversibility:
tokenized_metadata = shroud.tokenize(ct_scan.metadata)