HIPAA-compliant anonymization that never leaves the hospital.

Piixie processes Protected Health Information locally on your servers. No cloud uploads, no business associate agreements for the anonymization step, no compliance gaps.

18 PHI categories All HIPAA identifiers detected
Zero cloud exposure PHI never leaves your machine
No BAA required No third-party processor involved
Full audit trail Every redaction logged for OCR audits
Protected Health Information

What Piixie detects in healthcare documents.

Piixie identifies and anonymizes all 18 HIPAA PHI identifiers plus modern digital health data across every document type your facility produces.

Patient identifiers

Patient names, dates of birth, medical record numbers, health plan beneficiary numbers, Social Security numbers, and account numbers.

Clinical data

Diagnosis codes (ICD-10), procedure codes (CPT), prescription medications, lab values, vital signs, and treatment plan details.

Provider and facility

Physician names, attending and referring doctor identifiers, facility names, department codes, and healthcare provider license numbers.

Digital identifiers

Email addresses, IP addresses, device serial numbers, biometric identifiers, full-face photographs, and web URLs from patient portals.

Dates and geography

Admission dates, discharge dates, dates of service, surgery dates, dates of death, and geographic subdivisions smaller than a state.

Insurance and contact

Health insurance member IDs, policy numbers, telephone and fax numbers, emergency contact details, and beneficiary designations.

See it in action

Clinical note, before and after.

Piixie detects PHI across narrative text, structured fields, and embedded identifiers in clinical documents.

Original document
PROGRESS NOTE Patient: Margaret Chen DOB: 03/14/1958 MRN: 4821903 Attending: Dr. James Rivera Date: 05/22/2026 Chief Complaint: Assessment: Diagnosis: Medications: Follow-up: Return to Dr. James Rivera in 2 weeks. Contact at 555-0142 Insurance SSN: 482-19-0374
Anonymized with Piixie
PROGRESS NOTE Patient: [PATIENT_1] DOB: [DOB_1] MRN: [MRN_1] Attending: [PROVIDER_1] Date: [DATE_1] Chief Complaint: Assessment: Diagnosis: Medications: Follow-up: Return to [PROVIDER_1] in 2 weeks. Contact at [PHONE_1] Insurance SSN: [SSN_1]
Workflow

How Piixie processes healthcare documents.

From ingestion to anonymized output, every step happens on your machine. No data ever crosses a network boundary.

1. Load document

Drop a clinical note, lab report, discharge summary, or insurance claim into Piixie. PDF, DOCX, spreadsheets, images, and DICOM metadata are all supported.

2. Detect PHI

The local LLM scans extracted text for all 18 HIPAA identifiers: patient names, MRNs, dates of birth, diagnoses, provider names, SSNs, addresses, and more.

3. Anonymize

Choose your mode: redact with black bars, replace with stable tokens like [PATIENT_1], or synthesize realistic fake data using the local Faker engine.

4. Export safe copy

The anonymized document is saved locally. The original is never modified. A full audit log records every detected entity and the action taken.

Compliance

Regulatory frameworks Piixie addresses.

Local processing eliminates entire categories of compliance risk across every framework that governs healthcare data.

  • PHI stays entirely on your premises. Piixie never transmits health data to external servers, cloud APIs, or remote processing environments.
  • The minimum necessary standard is enforced automatically: Piixie detects and redacts PHI categories including patient names, MRNs, dates of birth, diagnoses, and provider identifiers.
  • No Business Associate Agreement is required for the anonymization step because no third party ever accesses the PHI.
  • De-identified data produced by Piixie can be shared for research, analytics, or AI training without triggering HIPAA disclosure rules.
  • Redaction before sharing with AI tools or LLMs prevents accidental PHI exposure in prompts or model training data.
  • Audit trails document exactly which PHI elements were detected and redacted, supporting compliance documentation for OCR audits.
Use cases

How healthcare teams use Piixie.

From research departments to compliance offices, Piixie fits into existing clinical workflows.

De-identify records for research

Share patient data with IRBs, research partners, and academic collaborators. Piixie produces de-identified datasets that fall outside HIPAA's scope, eliminating the need for individual patient consent for each study.

Sanitize clinical data for AI training

Feed clinical notes, discharge summaries, and radiology reports into ML pipelines without leaking PHI. Train diagnostic models, NLP systems, and clinical decision support tools on safe data.

Prepare for inter-facility transfer

Strip PHI before sharing records across organizations, health information exchanges, or with payers. Maintain clinical utility while eliminating re-identification risk during data exchange.

Generate audit-ready compliance logs

Every Piixie run produces a detailed log of what was detected, what category it belongs to, and what action was taken. These logs serve as evidence for OCR audits and accreditation reviews.

Protect patient data at the source.

Start anonymizing healthcare documents locally in minutes. No cloud account, no BAA, no compliance gaps.

Download Piixie