Anzubridge CDMS Case Study

About the Product

Anzubridge CDMS is a clinical data management system developed by Mobifilia. The platform was conceptualized and piloted in collaboration with Anzubridge, a healthcare innovation partner focused on rare disease and neuromuscular trials. Based on validated needs from these early deployments, the platform further evolved into a robust, regulatory-compliant CDMS with integrated media workflows.

Anzubridge CDMS — designed for sponsors, CROs, and clinical teams conducting complex, media-rich studies requiring audit-ready submissions, multi-role training, and endpoint standardization.

Anzubridge CDMS

Challenge

During the initial phase, multiple operational gaps were identified in the traditional CDMS landscape:

  • Disconnected systems for media capture, review, and endpoint validation
  • No standardization of visual evidence across subjects and visits
  • Limited tools to support real-time annotation or side-by-side review
  • Difficulty onboarding diverse global teams due to lack of integrated training
  • Inflexible deployment models—replacing existing EDCs was often impractical

Mobifilia set out to address these pain points with a unified, modular platform.

Solution

Mobifilia developed Anzubridge CDMS as a modular, role-based, and AI-enhanced system designed to simplify and strengthen clinical data workflows.

Key Components:

  • Media Annotation & Review Module with patented video bookmarking, clipping, and comparison
  • Facial De-identification and secure encryption for HIPAA and 21 CFR Part 11 compliance
  • Built-in LMS with study-specific training tied to clinical workflows
  • Modular Deployment to support full-CDMS use or as a plugin alongside other EDCs
  • Role-based Workflow Automation for sites, sponsors, CROs, and external reviewers

Deployment Use Case

  • Rare disease trials with video-based efficacy endpoints
  • Neuromuscular and device studies requiring standardization across visits
  • Multi-center deployments with diverse global teams and reviewers
  • Regulatory-facing submissions where visual narratives strengthened trial outcomes

This real-world pilot allowed the team to validate needs, gather stakeholder feedback, and harden the platform for broader commercial use.

Technology Used

Prototyping
  • FigmaFigma
  • NotionNotion
Frontend
  • Angular JSAngular JS
Backend
  • Node.jsNode.js
  • PythonPython
  • dotnetdotnet
Database
  • PostgreSQLPostgreSQL
AI/ML Components
  • OpenCVOpenCV
  • AWS RekognitionAWS Rekognition
Compliance
  • HIPAAHIPAA
  • 21 CFR Part 1121 CFR Part 11
CI/CD
  • GitLabGitLab
  • JenkinsJenkins
Hosting
  • AWSAWS
Automation Testing
  • SeleniumSelenium
  • Video Annotation: Custom SDK with canvas overlay
  • LMS: Custom modules
  • eConsent / ePRO: Custom APIs, QR Auth, Device Sync

Benefits

  • Visual Endpoint Review: Standardize and compare video/image data in real time
  • Modular Rollout: Use full CDMS or deploy the media module independently
  • Training at Scale: Integrated LMS simplifies onboarding and role-based access
  • Faster Submissions: Real-time review workflows reduce delays to data lock
  • Audit-Ready: Complete traceability, encrypted data handling, and facial de-ID

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