Legit.Health · Clinical Trials
Global Services Overview
End-to-End AI Ecosystem for Clinical Trials
Legit.Health digitalises clinical trials through an AI-driven SaaS platform that automates severity scoring and sign extraction, supported by secure data transfer and professional investigator services.
Architecture
Three-Layer Ecosystem
From image capture to data delivery, every step is designed for clinical-grade quality, regulatory compliance, and operational efficiency.
Layer 01
The Capture Layer
SaaS PlatformStandardising Data at the Source
A secure SaaS environment for investigator sites to manage subject enrollment and roles while ensuring protocol compliance through real-time administrative oversight and comprehensive investigator support.
Layer 02
The Intelligence Layer
AI AnalysisTurning Pixels into Objective Endpoints
Six specialised AI modules work together to validate image quality, segment anatomical regions, and compute severity scores automatically — eliminating manual reviewer burden and inter-observer variability.
Layer 03
The Control Layer
ServicesGovernance, Compliance & Oversight
A comprehensive service layer ensuring regulatory compliance, data privacy, and operational visibility throughout the trial lifecycle — from anonymisation pipelines to sponsor dashboards and investigator support.
The Capture Layer
Standardising Data at the Source
The Capture Layer provides a secure SaaS environment for investigator sites to manage subject enrollment and roles while ensuring protocol compliance through real-time administrative oversight and comprehensive investigator support.
Centralised Site & Subject Management
Site Administration & Governance
Centralised control over site configuration, user management, and protocol settings.
Enterprise-Grade Security
End-to-end encryption, audit trails, and compliance with 21 CFR Part 11.
Role-Based Access Control (RBAC)
Granular permissions for administrators, coordinators, and investigators.
Site-Specific Management
Configure each site independently with custom settings and user assignments.
Multi-Language Support
Full UI localisation across 14 languages for global trial deployment.
Subject Lifecycle Management
Subject Creation
Streamlined enrollment workflow with automatic activation emails and credential generation.
Visit Tracking
Personalised schedules anchored to enrollment date with automatic window calculations.
Status Monitoring
Real-time visibility into subject progress, upload history, and compliance status.
Protocol Deviation Notifications
Automated alerts for missed timepoints, late uploads, and non-compliant captures.
Investigator Support & Compliance
Protocol Adherence
Step-by-step guidance ensures subjects or site staff follow capture protocols consistently.
The Investigator Manual
Versioned, multilingual web manual with screenshots and detailed instructions.
Automatic Image Quality Check
AI validates focus, lighting, and framing in real time before upload.
Available Pose Detection
Position quality control in order to ensure standardised perspectives image capture.
The Intelligence Layer
Turning Pixels into Objective Endpoints
Six specialised AI modules validate image quality, segment anatomical regions, and compute severity scores — eliminating manual burden and inter-observer variability.
Dermatology Image Quality Assessment (DIQA)
Validates clinical utility of each image based on focus, lighting, framing, and anatomical coverage.
Body Surface Area (BSA) Pose Validation
Confirms captured images belong to expected anatomical domains (scalp, face, trunk, etc.).
Available upon requestBody Surface Segmentation
Identifies and segments body regions for consistent BSA calculations across visits.
Available upon requestSkin Surface Segmentation
Isolates skin surface from background and clothing for precise lesion localisation.
Available upon requestLesion Segmentation
Delineates lesion boundaries at pixel-level accuracy to compute area, colour, and texture metrics.
Automatic Score Computation
AI fills in PASI, SCORAD, SALT, and other indices automatically — no manual calculation required.
The Control Layer
Governance, Compliance & Oversight
A comprehensive service layer ensuring regulatory compliance, data privacy, and operational visibility throughout the trial lifecycle.
Pre-transfer Anonymisation
All identifiers stripped and images anonymised before leaving the platform.
Background Blur & Facial Redaction
AI removes environmental context, obscures eyes/mouth, and redacts tattoos.
Data Transfer Agreement (DTA)
Formal contractual framework governing data handling, retention, and transfer protocols.
CRO/Sponsor Dashboard
Real-time dashboard with enrollment metrics, compliance rates, and deviation tracking.
Deviation Digest Emails
Automated notifications to site staff listing subjects with missed or late timepoints.
Multilingual Investigator Manual
Versioned web manual with screenshots and instructions, translated into 14 languages.
End-to-End Flow
From Capture to Delivery
Every image follows a standardised pipeline from initial capture through AI analysis to secure, anonymised data delivery.
Image Capture
Subject or site staff captures images via mobile/web app
Quality Validation
DIQA module validates focus, lighting, and framing in real time
AI Analysis
Segmentation and scoring modules extract clinical endpoints
Anonymisation
Background blur, facial redaction, and metadata stripping
Data Transfer
Structured exports (CSV/JSON) delivered per DTA schedule
Ready to Integrate AI into Your Trial?
Contact our team to configure your study — conditions, scoring systems, locales, and data transfer schedules.