A secure web app clinics use day-to-day for AI-assisted skin assessments, progress tracking, and report writing.
Everything runs in the cloud — nothing to install. Clinics subscribe per seat or per practice, and every byte of patient data is encrypted, access-controlled, and handled to recognised medical data security standards.
Every image runs through the same structured AI pipeline, so results stay consistent and reproducible.
Clinicians photograph the affected area with any camera or smartphone and upload it through the browser, over TLS into encrypted cloud storage.
A deep learning model on Amazon SageMaker classifies the condition, scores severity, and segments the affected region.
Results return as structured JSON and attach to the patient record. The clinician reviews, adds notes, and the visit joins the treatment timeline.
Every feature is built specifically for dermatology workflows — not adapted from generic SaaS tooling.
Recognizes 15+ conditions — acne, eczema, psoriasis, rosacea, hyperpigmentation — via a trained convolutional neural network.
Track how a condition changes across visits with quantitative trend lines — measured, not guessed.
One-click structured PDF — findings, annotated images, notes, progress charts, and recommendations.
Every account supports multiple roles — admin, attending dermatologist, clinical assistant — each scoped to what they need.
Images, notes, and results live in encrypted relational records, access enforced through AWS IAM.
Runs entirely in the browser — no client software, no plugins, just a secure login.
| Workflow Step | Without Qelvoro Tech | With Qelvoro Tech |
|---|---|---|
| Image Storage | Phone galleries, USB drives, scattered email threads | Encrypted object storage in Amazon S3, linked directly to patient records |
| Condition Assessment | Visual judgement only, no quantitative scoring | AI-based classification with confidence score and severity index |
| Progress Tracking | Verbal notes, subjective comparison, no baseline | Quantitative trend charts across every recorded clinic visit |
| Report Generation | Manual Word or PDF documents, 20–40 min per report | One-click structured PDF report in under 60 seconds |
| Record Access Control | No enforced access control on shared drives | Role-based access with per-record audit trails |
| Data Security | Varies by clinic; often no formal compliance posture | AES-256 at rest, TLS in transit, AWS IAM-enforced access |
We're accepting pilot clinic applications now — join early access and help shape what's next.