Dermatology Image Annotation FHIR Implementation Guide
0.1.0 - ci-build

Dermatology Image Annotation FHIR Implementation Guide - Local Development build (v0.1.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions

## Example Observation: ExampleAIPrediction

Profile: AI Prediction

Security Label: artificial intelligence asserted (Details: ObservationValue code AIAST = 'artificial intelligence asserted')

status: Preliminary

category: Imaging, Dermatology Annotation

code: Lesion Classification

subject: Jane Smith Female, DoB: 1975-06-15

effective: 2026-03-27 14:29:00+0000

method: AI Model Inference

device: Device: manufacturer = Annotate MD

derivedFrom: DocumentReference: status = current; type = Photographic image

> component

> code: Skin finding

> value: Malignant melanoma

> component

> code: Prediction Confidence

> value: 0.89 score (Details: UCUM code1 = '1')

> component

> code: Inference Time

> value: 245 milliseconds (Details: UCUM codems = 'ms')