Modernizing Clinical Data Security with an Integrated PHI Redaction Platform
Overview
A global medical device manufacturer operating across regulated international markets needed to modernize how sensitive clinical files were handled within their Electronic Data Capture (EDC) platform. As study volumes increased and regulatory scrutiny intensified, their existing redaction approach, largely manual and fragmented—introduced compliance risk, operational delays, and inconsistent user experiences.
Rysun partnered with the client to design and implement a fully integrated clinical data redaction platform, combining automated PHI metadata removal with an intuitive, multi-format redaction viewer. The solution was seamlessly embedded into the client’s existing Java–Angular EDC ecosystem, strengthening compliance while preserving the native clinical workflow.
Industry
Life Sciences / Clinical Research
Solution
Integrated Clinical Data Redaction & PHI Security Platform
Challenge
Manual, fragmented redaction workflows created compliance risks and inefficiencies in handling multi-format clinical data.
The Challenge
As clinical trials scaled in size and complexity, the client’s EDC platform faced growing challenges in securely handling sensitive data across multiple file formats, including DICOM, PDF, and medical images.
Key challenges included:
- No automated PHI metadata removal during file uploads
- Fragmented redaction workflows, requiring external tools for masking
- Lack of in-system visual redaction for DICOM, PDF, and image files
- Patient-identifiable filenames, increasing compliance and privacy risk
- Limited scalability, slowing batch redaction and large-study operations
These gaps directly impacted compliance readiness, audit confidence, and clinical team productivity making modernization critical.
Rysun’s Solution:
Rysun delivered a unified redaction modernization roadmap, embedding both backend automation and frontend precision tools directly into the client’s existing EDC platform. The solution was designed to eliminate external dependencies while supporting secure, scalable, and compliant clinical workflows.
Key Capabilities Delivered
- Automated PHI Metadata Removal: A Java-based engine strips sensitive metadata at upload—before files are previewed or stored
- Unified Multi-Format Redaction Viewer: Angular-based viewer supporting DICOM, PDF, JPEG/JPG with zoom, navigation, and ROI masking
- Apply-to-All Redaction Logic: Smart masking workflows for:
- Multi-frame DICOM studies
- Multi-page PDFs
- Multi-image folders
- Seamless EDC Integration: Redaction tools embedded directly into the File Manager module with consistent UI/UX
- Secure Storage & Processing: AWS S3-backed storage with background processing for large files
- Compliance-Driven Architecture: Error handling, confirmation flows, and audit logging aligned with HIPAA and GDPR requirements
Rysun’s Consultative Approach
Rysun followed a compliance-first, workflow-aware delivery approach to ensure rapid adoption and long-term scalability:
- Deep Clinical Workflow Analysis: Understanding how clinical teams interact with files inside EDC systems
- Hybrid Redaction Architecture: Combining backend metadata stripping with precise frontend visual masking
- Incremental Modernization: Enhancements introduced without disrupting active studies or user workflows
- Performance & Scalability Validation: Optimized handling of large DICOM and PDF files without UI blocking
Benefits:
- Stronger PHI & Data Security: Automated metadata removal and controlled masking reduce risk of patient data exposure.
- Improved Regulatory Compliance: Built-in audit logs and standardized redaction workflows strengthen HIPAA and GDPR alignment.
- Faster Clinical Data Processing: In-app redaction and batch workflows significantly reduce turnaround time for file handling.
- Lower Operational Costs: Eliminates reliance on multiple third-party redaction tools and associated licensing expenses.
- Unified Redaction Experience: Single interface supports DICOM, PDF, and image formats, improving usability and adoption.
- Scalable, High-Volume Operations: Background processing and apply-to-all logic enable efficient handling of large clinical studies.
Impact
The integrated redaction platform transformed clinical data handling from a manual, fragmented process into a secure, scalable, and compliant digital workflow.
- 50–60% cost savings by retiring external redaction tools
- 3× faster redaction workflows through automation and integration
- Reduced dependency on specialized redaction staff
- Higher compliance confidence during audits and regulatory reviews
- Improved consistency and accuracy in PHI masking across studies
