VISUAL INTELLIGENCE LAYER
Turn clinical photos into structured care evidence
OSAZ Vision API helps care teams and health platforms organize patient images, connect them to structured intake, and surface consistent visual context for human review.
# Request
What it is
An API-ready visual workflow layer built for skin, wound, and chronic-condition documentation across diverse skin tones. It standardizes how images are captured, organized, and returned to care teams without replacing clinical judgment.
Visual Evidence Pipeline
How it works
Capture & Context
A clinical photo is connected to the patient, visit, and structured intake context at the point of care.
Quality & Organization
The workflow organizes images, checks capture quality, and places each photo in the correct care timeline.
Structured Visual Output
OSAZ returns normalized image context, documentation fields, and review flags to the connected workflow.
Human Review
Authorized staff review the evidence, decide the next action, and retain final clinical and administrative judgment.
Designed for clinical integration
Built for skin and wound documentation across diverse skin tones
Pairs every image with visit context instead of treating photos as isolated files
Delivered through an API or the OSAZ AI workflow interface
Bring visual evidence into your workflow
Discuss how OSAZ Vision API could support more consistent photo capture, organization, and human review across your care workflow.