Legit.Health · Clinical Trials
Features Overview
From Image Capture to Data Delivery
Explore the platform's key capabilities — guided at-home imaging, real-time AI quality and pose validation, automated severity scoring, anonymised data exports, and sponsor dashboards.
Decentralised Imaging Capture
Subjects capture and upload images from home using any mobile device. Site staff and administrators manage the trial lifecycle and access AI-generated results — subjects only receive upload confirmation.
🏢
Site Staff Administrator
- ▸Creates and manages site staff accounts
- ▸Enrolls subjects and assigns them to visits
- ▸Monitors protocol compliance and deviations
- ▸Views AI-generated reports and scores
👩⚕️
Site Staff / Investigator
- ▸Guides subjects through the imaging protocol
- ▸Monitors subject upload compliance
- ▸Reviews AI severity scores and reports
- ▸Flags deviations to the administrator
🧑💼
Subject (Patient)
- ▸Logs in with a unique phone/password credential
- ▸Follows guided 11-perspective image capture
- ▸Uploads images from home (decentralised)
- ▸Receives upload confirmation only — no AI results
Image pipeline
Subject captures & uploads images
→AI validates quality & computes scores
→Site Staff & Subjects do not see AI results
→Data available to site CRO or sponsor
Automatic Image Quality Control
Before an image is accepted, the AI validates focus, lighting, framing, and anatomical coverage in real time. If the image does not meet the required quality, the app explains the error and prompts the subject to retake the photo.
Quality error feedback
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Parece que la imagen no tiene suficiente calidad para ser analizada.
Automatic Positioning Control
If the subject's body is not correctly positioned according to the protocol instructions, the app displays a message explaining the error and asks the subject to retake the photo following the guidelines provided.
Capture screen
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Tronco
Vista frontal
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Positioning error feedback
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Su cuerpo no está correctamente posicionado según las instrucciones.
Automatic Anonymisation
Before any image is exported or shared, the platform applies facial redaction, background blur, tattoo removal, and metadata stripping to comply with GDPR and HIPAA requirements.
Real anonymisation examples
Available anonymisation methods
| Type | Description |
|---|---|
| Automatic blur | Background around segmented lesion or body surface area blurred |
| Automatic Black box: eyes & mouth | Automatic black box applied on eyes and mouth; other facial elements can be specified |
| Automatic (tattoos) | Tattoos automatically identified and covered by black box |
| Automatic + Manual review | Automatic masking with manual verification for quality assurance |
Deviation Notification Example
When subjects miss an image upload, the platform automatically notifies site staff Administrators with a deviation digest email listing affected subjects and required follow up actions.
Notificación de Legit.Health
para mí ▾
2026-06-19 00:00:00
El contenido de este correo electrónico es confidencial.
Este es su resumen diario de las desviaciones programadas de captura de datos para su sitio. Por favor, revise la tabla a continuación y aborde cualquier carga en consulta.
Resumen
| Código del sitio | Total de sujetos | Sujetos con cargas en consulta |
|---|---|---|
| CV5-ES10001 | 20 | 3 |
Desviaciones detalladas:
| Código del sujeto | Código del sitio | Código de visita | Fecha de fin de ventana | Días de retraso | Estado |
|---|---|---|---|---|---|
| ES100016001 | CV5-ES10001 | Week 52 | 2026-04-20 | 60 | Consultado |
| ES100016002 | CV5-ES10001 | Week 52 | 2026-05-10 | 40 | Consultado |
| ES100016003 | CV5-ES10001 | Week 64 | 2026-06-14 | 5 | Consultado |
Estado = Consultado: el conjunto de imágenes no se ha cargado dentro de la ventana de visita esperada.
Fecha de fin de ventana: representa el último día del calendario de la ventana de visita definida por el protocolo que ha transcurrido sin una carga exitosa.
Días de retraso: representa el número total de días que han transcurrido desde la fecha de fin de ventana hasta la fecha en que se generó este correo electrónico de resumen.
Puede utilizar clinicaltrials.legit.health para consultar los detalles de cada sujeto enumerado anteriormente.
Si tiene preguntas o solicitudes sobre esta notificación, comuníquese con su Coordinador de Estudio o Monitor Médico.
Atentamente,
Equipo de Datos de Legit.Health
Analista de Datos en Legit.Health
no-reply@clinicaltrials.legit.health
Dashboard Example
The sponsor and CRO dashboard provides real-time enrollment metrics, per-site compliance rates, deviation counts, and image upload history — giving full operational visibility without accessing patient data.
The sponsor dashboard will be shown here in a future update.
Data Transfer Example
Structured CSV or JSON exports are delivered on a per-DTA schedule, anonymised and ready for EDC or CRO integration. Each transfer includes image metadata, AI scores, and subject visit data.
Secure Data Transfer Architecture
Data Transfer structure
Security Features
- IAM Role-Based Access
Customer IT receives dedicated IAM credentials with least-privilege permissions
- Encryption at Rest & Transit
AES-256 server-side encryption + TLS 1.3 for all transfers
- Audit Logging
CloudTrail logs all access events for compliance reporting