Copy, paste, and you're de-identifying healthcare data
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Choose Python, JavaScript, or TypeScript
pip install requestsnpm install node-fetchCopy this code and start building
import requests
JWT_TOKEN = "your-token-here" # From Step 1
patient = {
"resourceType": "Patient",
"name": [{"family": "Doe", "given": ["John"]}],
"birthDate": "1990-01-01"
}
response = requests.post(
"https://api.medscrub.ai/api/fhir/deidentify",
headers={"Authorization": f"Bearer {JWT_TOKEN}"},
json={"resource": patient}
)
result = response.json()
print(f"Session ID: {result['sessionId']}")
print(f"De-identified: {result['deidentifiedResource']}")De-identify patient records before sending to Claude/GPT. Get clinical insights while maintaining HIPAA compliance.
Process FHIR bundles through analytics or ML models without exposing PHI. Perfect for research datasets.
Build AI-powered clinical tools that analyze de-identified patient data and provide actionable recommendations.
No Docker, no infrastructure, no DevOps. Sign up and start building in 5 minutes.
HIPAA-grade accuracy on FHIR data. All 18 HIPAA Safe Harbor identifiers covered.
<50ms response time globally. Hosted on Cloudflare's edge network.
100 requests/hour free. Perfect for hackathons and prototypes. No credit card required.
Join developers building the future of healthcare AI. Get your JWT token and start de-identifying FHIR data in minutes.
Questions? Reach out at support@medscrub.ai or GitHub Issues