Sanitize Patient Data
Before Using AI.
Maintain HIPAA compliance while leveraging ChatGPT for clinical notes, research, and analysis. Scrub PHI locally with zero-server processing.
Executive Summary: MEDICAL
HIPAA compliance in the age of ChatGPT is often misunderstood. A signed BAA is the gold standard, but for the millions of healthcare professionals using public models, de-identification is the only path to safety. PrivacyScrubber implements the HIPAA 'Safe Harbor' method by redacting all 18 identifiers—names, DOBs, and MRNs—locally on your machine. Doctors can summarize clinical notes and analyze symptoms without PHI ever leaving the clinic's local browser environment. It is the invisible shield for protected health information in a digital-first medical world.
Privacy Checkpoints
- Safe Harbor Method: Redact all 18 HIPAA identifiers before any AI interaction.
- De-identification: Transform PHI into anonymous research tokens for safe LLM analysis.
- Clinical Accuracy: Maintain the clinical context of notes while stripping patient identity.
- BAA Gap: Use local scrubbing as a safety net even when a BAA is in place.
Identified Risks & Solutions
PII Detection Matrix
| Entity Type | Exposure Risk | Local Edge Control |
|---|---|---|
| Patient Names | Critical (PHI Breach) | Multi-layered detection |
| Medical Records | Critical (HIPAA) | [MRN_N] Tokenization |
| Date of Birth | High (Re-identification) | [DATE_N] Masking |
The Medical AI Privacy Gap
PHI Disclosure
Pasting MRNs or clinical histories into cloud AI without a BAA violates HIPAA privacy rules.
EHR Persistence
Once sensitive data is sent to a third-party AI, it may be stored or used for model training.
Re-identification Risk
Medical research requires de-identification. Manual scrubbing is prone to human error.
Raw Input: Patient: John Smith, MRN: #445-921...
Sanitized: Patient: [NAME_1], MRN: #[ID_1]...
Secure Medical AI Workflow
Enable high-performance AI without client data leaving your machine
Import Files
Upload documents locally into the PrivacyScrubber sandbox.
Local Masking
Identify and tokenize sensitive strings entirely within browser memory.
Analyze with AI
Submit sanitized prompts to ChatGPT or Claude for processing.
Reverse Scrub
Bring back original data into the AI response locally for the final draft.
Hardened Audit Standards
Satisfying strict global security frameworks for Medical data.
Privacy Rule
Satisfies Safe Harbor de-identification standards.
Article 9
Zero-trust processing of health data.
Enforcement
Prevents unauthorized disclosure to sub-processors.
Privacy
Ensuring PII never reaches third-party servers.
Implementation Guides
Explore specific PII redaction workflows for Medical Teams
HIPAA AI Guard
Securely protect patient names, DOBs, and diagnoses from clinical notes 100% locally before AI analysis. Fully offline HIPAA-compliant workflow.
Medical Research AI
Anonymize patient research data locally before AI analysis. No cloud uploads. No HIPAA violations.
Telemedicine AI Privacy
Virtual care platforms using AI must protect patient PII. HIPAA-compliant local protection guide.
EHR AI Safety
Using AI with EHR data requires de-identification. Protect patient data locally before any AI tool.
Mental Health AI Privacy
Therapy session notes are the most sensitive health data. Never send them to AI without protection.
FDA AI/ML Software and PHI
FDA-regulated AI/ML software as a medical device (SaMD) must handle PHI under HIPAA and FDA guidance. Here is the compliance checklist.
Safely Protect MRNs (Medical Record Numbers) for AI Analysis
Standard tools catch SSNs, but hospitals use highly specific Medical Record Number formats that leak patient identities into LLMs.
Protect Medical Records for AI Safely
A HIPAA compliant PII protector to protect medical records locally before AI processing.
Deploy Secure Medical AI Today
Satisfy compliance requirements, eliminate disclosure risks, and innovate at the speed of AI.