The Health Insurance Portability and Accountability Act (HIPAA) requires medical organizations to protect patient confidentiality. Under HIPAA rules, exposing Protected Health Information (PHI)—such as patient names, medical histories, diagnosis codes, or insurance numbers—to non-business associate (BAA) AI systems constitutes a major compliance violation.
Automated HIPAA Compliance tools protect health systems by scrubbing PHI before it can reach public LLMs.
PHI Risks in Healthcare AI Usage
Healthcare professionals increasingly use AI to write letters, summarize patient notes, or extract structured data. This creates several risk vectors:
- Patient Record Summarization: Uploading patient charts, medical histories, or lab results to public AI models.
- Transcribing Dictations: Pasting transcribed patient doctor notes into translation or grammar websites.
- Billing Coding Assistance: Inputting medical diagnostic codes alongside patient identifiers to streamline billing.
How TryAIDR Secures Healthcare Data
TryAIDR protects patient privacy and ensures compliance with HIPAA requirements:
- Local PHI Identification: Uses custom ML classifiers to scan text locally for patient names, social security numbers, medical record numbers (MRNs), and healthcare conditions.
- Instant Clipboard Scrubbing: Redacts PHI patterns at the client level, allowing healthcare staff to safely use AI tools with fully anonymized content.
- Audit Verification: Generates tamper-resistant records of security actions, ensuring you have the evidence required for HIPAA compliance audits.
PHI De-identification Configuration
Below is the configuration pattern used by TryAIDR to block MRNs and Patient IDs:
{
"rule_id": "hipaa-phi-block",
"name": "PHI Protection",
"classifiers": [
{
"type": "regex",
"pattern": "MRN-[0-9]{6,10}"
},
{
"type": "medical_ner",
"entities": ["PATIENT_NAME", "DIAGNOSIS", "TREATMENT"]
}
],
"action": "redact"
}