Remove PHI from DICOM Medical Images
HIPAA-Compliant • 30 Detection Methods • 5-Stage Anonymization
Medical-grade DICOM anonymization removing all 18 HIPAA identifiers while preserving diagnostic quality
🚨 CRITICAL: Medical Images Contain Protected Health Information (PHI)
DICOM files contain patient names, IDs, birth dates, referring physician information, hospital names, device serials, and embedded private tags. Our HIPAA-compliant 5-stage process removes all 18 PHI identifiers while preserving image quality for diagnostic use. 100% browser-based - PHI never leaves your device.
Start Protecting Your Privacy Now
Drag files here or click to select - processing happens instantly on your device. Supports 50+ file formats including images, documents, videos, and healthcare files.
Supported File Formats
✅ Full HIPAA Compliance - All 18 Identifiers Removed
View all 18 HIPAA identifiers →
Medical-Grade 30 Detection Methods
Comprehensive PHI Detection Across All DICOM Tags
🔍 Complete Medical Metadata Coverage
Patient Identification
- ✓ Patient Name
- ✓ Patient ID
- ✓ Date of Birth
- ✓ Demographics
- ✓ Medical Record
- ✓ Insurance Info
Study & Series Data
- ✓ Study Date/Time
- ✓ Series Info
- ✓ Procedure Codes
- ✓ Body Part
- ✓ Modality
- ✓ Protocols
Medical Staff
- ✓ Referring Physician
- ✓ Performing Physician
- ✓ Radiologist
- ✓ Technician
- ✓ Operator
- ✓ Service Info
Institution & Equipment
- ✓ Hospital Name
- ✓ Department
- ✓ Station AE Title
- ✓ Device Serial
- ✓ Calibration
- ✓ Network IDs
Technical & Private
- ✓ Private Tags
- ✓ Annotations
- ✓ Quality Metrics
- ✓ Archive Info
- ✓ Security Tags
- ✓ Timestamps
🛡️ 5-Stage HIPAA-Compliant Anonymization Process
Remove Patient Identifiers
All 18 HIPAA identifiers systematically removed
Clean Medical Staff
Physician and operator identification removed
Remove Institution Data
Hospital and department information anonymized
Strip Study Metadata
Study UIDs regenerated, descriptions removed
HIPAA Validation
Final compliance check and verification
⚕️ Medical-Grade Processing: Binary DICOM parsing with PS3.5/PS3.6 compliance ensures complete PHI removal while maintaining diagnostic image quality for clinical use.
🏆 Industry Comparison (2025)
Feature | Scrub Metadata | Others |
---|---|---|
Browser-Based | ✅ 100% | ❌ Desktop/Server |
HIPAA Compliance | ✅ Full 18 IDs | ⚠️ Varies |
Binary Processing | ✅ Native | ✅ Yes |
Private Tag Removal | ✅ Complete | ⚠️ Partial |
Zero Upload | ✅ Privacy | ❌ Cloud risks |
UID Regeneration | ✅ Yes | ✅ Some |
5-Stage Validation | ✅ Yes | ❌ No |
Real-time | ✅ Instant | ❌ Batch |
🥇 ONLY browser-based HIPAA-compliant DICOM solution in 2025
🎯 Who Needs Medical-Grade DICOM Anonymization?
🔬 Technical Excellence
Binary DICOM Processing
- •Native PS3.5/PS3.6 compliance with proper tag structure
- •Handles implicit/explicit VR and transfer syntax
- •Private vendor tag detection (odd group numbers)
- •Preserves diagnostic image quality
Zero-Knowledge Architecture
- •100% browser-based processing
- •PHI never transmitted to servers
- •No cloud storage or logging
- •Complete privacy guarantee
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Complete Guide to DICOM PHI Removal
DICOM (Digital Imaging and Communications in Medicine) files contain extensive Protected Health Information (PHI) that must be removed for HIPAA compliance. Our medical-grade tool uses 30 advanced detection methods to identify and remove all 18 HIPAA identifiers through a certified 5-stage anonymization process.
Why DICOM Anonymization is Critical
Medical images contain sensitive PHI that violates HIPAA when shared:
Manual removal is error-prone and time-consuming
Our 5-Stage HIPAA Process
Comprehensive PHI removal with clinical preservation:
Preserves diagnostic image quality for clinical use
Industry-Leading Browser-Based Solution
Unlike desktop-only DICOM tools, our solution works entirely in your browser with zero PHI uploads.
Instant Processing
No installation or IT setup required
Complete Privacy
PHI never leaves your device
HIPAA Compliant
Certified for healthcare use
Enterprise Ready
Perfect for hospitals & research
🏆 Trusted by hospitals, research institutions, and healthcare providers worldwide